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Background: Cardiometabolic risk factors (CMRFs) related to metabolic dysfunction-associated steatotic liver disease (MASLD) comprised overweight/obesity, impaired glucose metabolism, hypertension, hypertriglyceridemia and low high-density lipoprotein cholesterol. We aimed to describe the overlap prevalence and synergistic interaction of the five CMRFs on MASLD and liver fibrosis., Methods: Using data of 2017-2020 National Health and Nutrition Examination Survey, we included non-pregnant participants aged ≥ 20 years who completed vibration-controlled transient elastography examinations and had sufficient information to determine their metabolic status. Logistic and generalized linear regression models were performed to assess synergistic interaction between CMRFs on MASLD and identify the contributions to liver fibrosis., Results: The overall estimated prevalence of MASLD was about 33.1%. More than 80% of patients had three or more CMRFs. For MASLD, synergistic interaction between pairs of overweight/obesity and other four CMRFs were higher than it between other CMRFs' pairs [attributable proportion(AP): 40-50% vs 20-30%]. For liver fibrosis, overweight/obesity and impaired glucose metabolism or hypertension had significant synergistic interactions (AP: 50% or 30%, respectively). We identified 27 out of 31 possible CMRF combinations. Combinations including dyslipidemia were more frequent in men than women (77% vs 59%). Combinations including hypertension were less in Mexican Americans than other ethnicities (25% vs 45-57%). Most combinations with three or more CMRFs, regardless of overlap type, had significant associations with elevated liver stiffness value., Conclusions: CMRF overlap was quite common and had additive interaction in patients with MASLD. Overlapping number may be more important than combination type in liver fibrosis development., Competing Interests: Declarations. Ethical approval and consent to participates: The NHANES databases are public available. The patients involved in the database is de-identified, and remained anonymous. Thus, institutional review board approval and consent to participates not required. Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)

Understanding the associations of air pollutants and temperature with the incidence of mumps, and exploring the interaction effects of heat index (HI) and air pollutants, are crucial for disease intervention under the context of climate change. This time-series study was conducted in Jining city using data on daily mumps cases, meteorological factors and air pollutants obtained from 2015 to 2021. Distributed lag models combined with quasi-Poisson regressions were applied to examine these associations. The findings indicated a heightened risk of mumps in correlation with elevated exposure to PM 2.5 , PM 10 , and NO 2 . Specifically, the precent changes in the risk of mumps were 0.6 % and 0.3 % associated with per 10 μg/m 3 increment in PM 2.5 and PM 10 at lag0 day, respectively. The cumulative effects of temperature were significantly associated with mumps, showing a "U"-shape pattern. Compared to the minimum effect value of 4 ℃, relative risk (RRs) of mumps for high and low temperature (at the 90th and 10th percentiles) were 1.961 (1.106-3.477) and 1.058 (0.976-1.158), respectively. There were significant synergistic effects between particulate matters (PMs) and HI. Compared to the low concentrations of PMs and normal heat index (NHI), co-exposure to high PMs and high heat index (HHI) has the highest risk (RR PM2.5 : 1.32 and, RR PM10 : 1.30). Individuals aged over 5 years was susceptible to particulate matters (PMs). Our results suggested that mitigating both PM and high temperature exposure may bring more health benefits for mumps incidence., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2025. Published by Elsevier Inc.)

This study intends to examine how women's empowerment directly or indirectly impacts their children's well-being. Since prior research primarily focussed on the effects of maternal empowerment on specific domains of child well-being, such as healthcare or education, this study seeks to explore a more comprehensive understanding of child well-being, where child well-being is quantified using four domains, viz., physical well-being, psycho-social well-being, educational well-being and awareness of safety. For the study, a primary sample of 416 married women who have a child aged between 6 and 18 years was collected using a multistage purposive sampling method from the Barak Valley of Assam, India. Then, exploratory factor analysis is employed to construct two indices, one on women empowerment and the other on child well-being. The index of child well-being was then used as the regressand, and the women empowerment index, along with other children, mother and household characteristics, were used as the regressors in multiple linear regressions. Besides, the moderating role of women's empowerment on child well-being is also studied by creating interactions between the women's empowerment index and other mothers, children, and household characteristics. The study finds that women's empowerment has a strong and positive direct impact on the well-being of children aged 6 to 18. The study also reveals that women's empowerment indirectly impacts child well-being as it moderates between child well-being and other attributes, viz., the mother's working status, child's age, place of residence, and standard of living. A key implication of our study is that maternal empowerment is essential for enhancing child well-being during the early developmental years. We also find that maternal empowerment, when interacted with paid employment, profoundly uplifts their child's well-being., Competing Interests: Declaration of competing interest We confirm that this work is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere., (Copyright © 2025 Elsevier Ltd. All rights reserved.)

This study quantified the environmental impacts of residue burning of major produced and burned crops in Madhya Pradesh, central India. The environmental impacts were quantified using Life Cycle Assessment (LCA) coupled with Monte Carlo simulation of 1000 iterations. Crop wise marginal impacts of the crops have been quantified using Multivariate regression model. The results showed that sugarcane and rice have the highest emissions in key impact categories, such as particulate matter formation (PMF) and global warming potential (GWP), whereas wheat and maize exhibit comparatively lower impacts. The combustion of residues significantly increases marine eutrophication (MEUT), agricultural land use (ALU), terrestrial acidification (TEAF) and GWP. Each kilogram of burned residue results in an increase of 21% in MEUT, 0.05% in ALU, 0.046% in TEAF and 0.028% in GWP, intensifying climate change. The results underscore the immediate necessity for specialized residue management strategies for sugarcane and rice crops. It is advisable to utilize sustainable alternatives such as composting or biochar production to mitigate emissions and enhance soil health, thereby addressing environmental and human health issues., Competing Interests: Declarations. Ethics approval: All authors have read, understood, and have complied as applicable with the statement on “Ethical responsibilities of Authors” as found in the Instructions for Authors. Competing interests: The authors declare no competing interests., (© 2025. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Background: The prevalence of hypertension is high in Uganda, which places a significant burden on an already strained healthcare system. The behavioural risk factors, such as unhealthy diet, tobacco use, physical inactivity, and heavy drinking, contribute to hypertension development and complications. This study explored the associations of combined tobacco smoking and heavy alcohol consumption with existing hypertension in a community-based cross-sectional study conducted in two rural districts of Uganda., Methods: We analysed data collected between December 2018 and January 2019 from 4,372 adults aged 25-70 from 3,689 random households in the Mukono and Buikwe districts, Uganda. Using logistic regression, crude, and adjusted odds ratios were calculated to describe the associations between participant characteristics, smoking, drinking behaviours, and high blood pressure (HBP). To determine effect modification due to combined tobacco smoking and heavy drinking, the relative excess risk due to interaction (RERI) was computed. All analyses were performed via R programming software version 4.2.3., Results: HBP was prevalent in 23% of the participants. Smokers were 1.36 times more likely to have HBP than non-smokers (Crude OR, 1.36; 95% CI, 1.04-1.76). Compared with non-drinkers, moderate alcohol drinkers were 1.45 times more likely to have HBP (AOR, 1.45; 95% CI, 1.18-1.79), and heavy drinkers were 2.53 times more likely to have HBP (AOR, 2.53; 95% CI, 1.92-3.32). The RERI indicated an additive interaction effect between smoking and heavy drinking, with conjoint smokers and heavy drinkers having 45% higher odds of having HBP than the summation of the individual risk due to smoking and heavy drinking., Conclusion: Tobacco smoke interacts with heavy alcohol consumption to increase the risk of increased blood pressure (BP) when it cooccurs. Integrated intervention strategies targeting both smoking and heavy drinking are essential for reducing the incidence of hypertension in rural Uganda., Competing Interests: Declarations. Ethics approval and consent to participate: Ethical clearance was sought from Makerere University, School of Public Health Research and Ethics Committee (SPH REC) before the survey was conducted. Additionally, the study was registered by the Uganda National Council for Science and Technology (UNCST). Makerere University SPH REC and the Usher Masters Research Ethics Groups (UMREG) also provided additional approval to conduct data analysis for the current study. All participants provided written informed consent before their involvement in the study. Furthermore, all the data were presented in an anonymized manner for confidentiality purposes. All research procedures were conducted in accordance to the principles of the Helsinki Declaration, and all the activities followed standard operating procedures and codes of conduct. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests., (© 2025. The Author(s).)

Accelerated biological aging may be associated with increased risk of esophageal adenocarcinoma (EAC). However, its relationship with genetic variation, and its effect on improving risk population stratification, remains unknown. We performed an exposome association study to determine potential associated factors associated with EAC. To quantify biological age and its difference from chronological age, we calculated the BioAge10 and Biological Age Acceleration (BioAgeAccel) based on chronological age and nine biomarkers. Multivariable Cox regression models for 362,310 participants from the UK Biobank with a median follow-up of 13.70 years were performed. We established a weighted polygenic risk score (wPRS) associated with EAC, to assess joint and interaction effects with BioAgeAccel. Four indicators were used to evaluate their interaction effects, and we fitted curves to evaluate the risk stratification ability of BioAgeAccel. Compared with biologically younger participants, those older had higher risk of EAC, with adjusted HR of 1.79 (95%CI: 1.52-2.10). Compared with low wPRS and biologically younger group, the high wPRS and biologically older group had a 4.30-fold increase in HR (95% CI: 2.78-6.66), at meanwhile, 1.15-fold relative excess risk was detected (95% CI: 0.30-2.75), and 22% of the overall EAC risk was attributable to the interactive effects (95% CI: 12%-31%). The 10-year absolute incidence risk indicates that biologically older individuals should begin screening procedures 4.18 years in advance, while youngers can postpone screening by 4.96 years, compared with general population. BioAgeAccel interacted positively with genetic variation and increased risk of EAC, it could serve as a novel indicator for predicting incidence., (© 2024 UICC.)

Human disease and health issues are globally significant and closely related to environmental and social factors. However, the interaction effects of such factors on diseases are unclear, which has resulted in a lack of targeted prevention strategies. By taking infectious diseases in China as an example, this study uses an interpretable machine learning method to analyze the impact of environmental and social factors on disease, including industrial SO 2 emissions, sanitary toilet coverage rate, and sunshine duration. The modeling results confirm the existence of a nonlinear relationship between infectious diseases incidence and each of the potential factors. That is, increased SO 2 emissions can increase infectious diseases incidence, whereas broad sanitary toilet coverage can reduce such risk. This study examines the interaction of the driving factors and reveals that variation in the sunshine duration can affect the impact of SO 2 emissions on infectious diseases incidence. This study proposes the use of multilevel risk trigger points (RTPs) to develop early warning and targeted regulation measures and classifies the points as primary, secondary, and tertiary. For example, for Henan Province, the RTPs of SO 2 emissions are 291,031, 897,579, and 1,381,342 tons, whereas those for Shandong are 362,802, 1,177,650, and 1,658,118 tons. At the tertiary RTP level, SO 2 emissions can significantly increase infectious disease incidence, which has prompted policymakers to implement pollution reduction and disease prevention measures. This study clarifies the role and interaction effects of environmental and social factors on infectious diseases to aid in precise disease prevention and environmental health management., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Quantifying how co-acting global change factors (GCFs) influence plant invasion is crucial for predicting future invasion dynamics. We did a meta-analysis to assess pairwise effects of five GCFs (elevated CO 2 , drought, eutrophication, increased rainfall and warming) on native and alien plants. We found that alien plants, compared to native plants, suffered less or benefited more for four of the eight pairwise GCF combinations, and that all GCFs acted additively. Subgroup analysis showed that the relative benefits of alien over native plants were particularly apparent when they grew in competition with one another, and that the results were largely the same when the aliens were restricted to naturalised or invasive species. Our meta-analysis provides evidence that additive effects of multiple global change factors on plant invasions are common, and thus that with the ongoing global environmental changes, the risk of plant invasion continues to increase., (© 2025 John Wiley & Sons Ltd.)

Background: The concept "one airway, one disease" for childhood rhinitis and asthma has been challenged in recent years. This study aimed to evaluate associations of environmental exposures with alone and co-morbid symptoms of rhinitis and asthma and identify critical risk factor., Methods: 5828 children aged 3-6 years in Shanghai were surveyed in 2019. Rhinitis and wheezing symptoms in the past 12 months were collected using questionnaire. 11 outdoor environment exposure factors were assessed by high-resolution spatial-temporal model based on residences. Logistic regression and random forest were applied to evaluate and rank the association of environmental exposure with rhinitis and wheezing symptoms., Results: The proportions of children with rhinitis alone, wheezing & rhinitis, and wheezing alone were 37.2 %, 4.6 %, and 2.6 %, respectively. Regression modeling of two exposure factors adjusted for each other showed that PM 1 , PM 2.5 and nighttime light(NTL) remained the robust significant associations with rhinitis alone, whereas NO 2 had the robust significant association with wheezing & rhinitis and wheezing alone. Random forest ranking analysis further corroborated the most significant environmental exposure for rhinitis alone was PM 1 , and for wheezing symptoms (both wheezing & rhinitis and wheezing alone) was NO 2 . Significant additive and multiplicative interactions were examined between indoor dampness and PM 1 exposure on rhinitis alone., Conclusion: Children's current rhinitis alone was more susceptible to ambient PM 1 and PM 2.5, while asthmatic wheezing symptom, either with or without rhinitis, was more susceptible to NO 2 . Co-exposure to indoor dampness and PM 1 exposure had synergistic effects on rhinitis alone., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Although many studies shown that the risk of congenital heart disease (CHD) was closely related to genetic and environmental factors, the exact mechanism was still unclear. This study was to assess the association of maternal folic acid supplementation (FAS), the 5-methyltetrahydrofolate-homocysteine methyltransferase reductase (MTRR) gene polymorphisms in offspring and their interaction effects with the risk of CHD and its subtypes., Methods: A case-control study was conducted on 595 children with CHD and 605 healthy child controls. The multivariate logistic regression model was used to assess the association of maternal FAS, offspring MTRR gene polymorphisms and their interaction effects with CHD and its subtypes., Results: This study shown that maternal FAS was significantly associated with a reduced risk of CHD (OR = 0.55, 95%CI: 0.36-0.83) and its subtypes including ASD (OR = 0.25, 95%CI: 0.14-0.45), VSD (OR = 0.42, 95%CI: 0.27-0.64), and CTD (OR = 0.23, 95%CI: 0.09-0.59) in offspring. Offspring MTRR gene polymorphisms at rs162048 (GG vs. AA: OR = 2.05, 95%CI: 1.35-3.13), rs1802059 (AA vs. GG: OR = 5.13, 95%CI: 2.15-12.23; GA vs. GG: OR = 1.81, 95%CI: 1.35-2.43), rs10380 (TT vs. CC: OR = 2.27, 95%CI: 1.20-4.31) and rs1801394 (GG vs. AA: OR = 1.58, 95%CI: 1.02-2.42) were significantly associated with the risk of CHD, and similar results were also found for three subtypes of CHD. Additionally, a statistically significant interaction effect between maternal FAS and offspring MTRR gene polymorphism at rs1802059 was observed (OR = 0.38, 95%CI: 0.15-0.94). Among children who had a variant genotype at rs1802059, the risk of CHD was significantly decreased when their mother used folate for this pregnancy compared with mothers not using folate., Conclusions: In those of Chinese descent, maternal FAS and offspring MTRR gene polymorphisms are significantly associated with the risk of CHD and its three subtypes. Furthermore, maternal FAS may help to offset some of risks of CHD due to offspring MTRR genetic variants. However, more studies with prospective designs and larger samples are needed to confirm our findings., Trial Registration: Registration number: ChiCTR1800016635; Registration time: 14/06/2018., Competing Interests: Declarations. Ethics approval and consent to participate: This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of Xiangya School of Public Health Central South University (No. XYGW-2018-36). All mothers provided their written informed consent to participate in this study. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests. Funding: Funding for this study was provided by the Hunan Provincial Natural Science Foundation Youth Fund Project (grant number: 2023JJ41022); the National Natural Science Foundation Program of China (grant numbers 82073653, 81803313); Hunan Outstanding Youth Fund Project (grant number 2022JJ10087)., (© 2024. The Author(s).)

Background: Recently, International Diabetes Federation position statement has adopted one-hour post-load glucose (1hPG) ≥ 8.6 mmol/L for diagnosing intermediate hyperglycemia. We aimed to assess the association of 1hPG ≥ 8.6 mmol/L with metabolic syndrome (MetS) and its components, as well as interaction between sex and 1hPG ≥ 8.6 mmol/L on MetS and its components in Chinese people at high risk of diabetes., Methods: The cross-sectional study was conducted in DaQing city of HeiLongJiang Province, China between August, 2023 and January, 2024. Eligible individuals with fasting glucose of 5.6-6.9 mmol/L and age of 25-55 years in health checkup data in the year of 2023 or with at least one risk factor of diabetes were invited to receive the oral glucose tolerance test and biochemical examinations. Individuals with self-reported presence of diabetes or usage of glucose-lowering medication were excluded. MetS was defined as presence of at least three of the five components according to the Chinese Diabetes Society criteria. Logistic regression was performed to evaluate the association of 1hPG ≥ 8.6 mmol/L with MetS and its components. Additive interaction was estimated using the relative excess risk due to interaction, attributable proportion due to interaction (AP), and synergy index., Results: A total of 2419 subjects comprising 1465 men (60.6%) with a mean age of 45.77 ± 6.20 years were included, and the prevalence of MetS was 46.8%, with 59.7% in men and 27.1% in women. 1hPG ≥ 8.6 mmol/L was associated with MetS (aOR = 4.40, 95% CI 3.26-6.01), elevated blood pressure (aOR = 1.46, 95% CI 1.13-1.89), hyperglycemia (aOR = 15.46, 95% CI 11.56-20.98), and reduced HDL-C (aOR = 1.51, 95% CI 1.07-2.15) in the overall population, whereas no significant association between 1hPG ≥ 8.6 mmol/L and elevated blood pressure in men (aOR = 1.36, 95% CI 0.97-1.91) or dyslipidemia in women (elevated TG: aOR = 0.81, 95% CI 0.47-1.39; reduced HDL-C: aOR = 1.08, 95% CI 0.49-2.37). Additive interaction effect between sex and 1hPG ≥ 8.6 mmol/L on MetS was observed, with 31% attributed to the interaction effect between men and 1hPG ≥ 8.6 mmol/L (AP = 0.31, 95% CI 0.06-0.49)., Conclusions: There was an additive interaction effect between sex and 1hPG on MetS among Chinese people at high risk of diabetes. 1hPG test and sex-specific strategies should be taken into consideration in cardiometabolic disorder identification and management., Competing Interests: Declarations. Ethics approval and consent to participate: The study was approved by the Institutional Ethics Committee of the Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS&PUMC-IEC-2022–061). Written informed consent was obtained from all subjects involved in the study. Consent for publication: Not applicable. Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

The miniaturized gasification-combustion model has potential advantages in treatment of rural solid waste (RSW) in China. In this study, the gasification-combustion technology concerning air-staged technology was employed in the treatment of seven combustible components in RSW, focusing on the analysis of heavy metal migration characteristics. Firstly, a comparison was made between combustion and gasification-combustion regarding the migration characteristics of heavy metals, demonstrating that gasification-combustion effectively reduces the volatilization rate of heavy metals. The largest reduction in volatility was 12.99 % for Cu. Secondly, this study explored reaction temperatures and oxygen concentration in the gasification zone, concluding that under experimental conditions mentioned herein, optimal gasification temperatures for curing heavy metals were determined to be 700 °C while maintaining an optimal ratio of air (RA) at 0.5 during gasification. Finally, the interaction of inorganic elements with different components on heavy metal migration was revealed by co-gasification-combustion of equal mass mixture of two components. The P, S, Cl contents and the inorganic mineralogical composition of the RSW are the key factors influencing the transport properties of heavy metals. The two-component synergistic effect of RSW studied in this paper has guiding significance for limiting the proportion of RSW components to control heavy metal emission in gasification-combustion process., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Environmental microplastics (MPs) vary in abundance, shape, size, color, and polymer type in freshwater ecosystems, yet their impact on bacterial community assembly in natural lakes is unclear. Here, we examined MPs and bacterial compositions in water and sediments of Taihu Lake, China, to reveal the influence of complex MPs on the bacterial community assembly. The results showed that the complexity index of MPs significantly influenced the turnover and nestedness components of bacterial communities. In the colder season, MP complexity was significantly correlated with the turnover componentin sediments (R 2 = 0.19, P < 0.0001), with turnover increasing as MP complexity increased. Conversely, under warmer season, MP complexity was significantly correlated with turnover and nestedness components. Additionally, the interaction effect of environmental and MP factors affected almost all components of beta diversity, particularly in cold water and sediment, with impacts on nestedness of 0.17 and 0.12, respectively, and should thus not be ignored. Our findings indicate for the first time that complex MPs significantly influence the assembly of bacterial communities in lake systems. The impact varies across seasons and future warming may exacerbate this effect, rendering it more uncertain and complex., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

The interaction among flavor compounds is a crucial determinant of Baijiu's flavor. Yet, the interaction between glycerol, a prominent polyol in Baijiu, and volatile flavor compounds remains elusive. The effect of glycerol concentration on the volatility of 13 Baijiu flavor compounds was analyzed by GC-IMS and GC-MS. The findings reveal that glycerol's impact on the volatility of these compounds increases with its concentration. Postglycerol addition, olfactory threshold and S -curve analyses reveal a decrease in the perception threshold of dimethyl trisulfide, while the perception thresholds of 3-methylbutanal, 1-propanol, 2-methyl-1-propanol, and ethyl lactate increase. Additionally, the independent gradient model based on Hirshfeld partitioning showed that hydrogen bonding is crucial in the interactions, aligning well with GC-IMS and odor threshold results to underscore glycerol's consistent impact on Baijiu flavor compounds. This research highlights glycerol's significant role in shaping Baijiu's complex flavor profile, enhancing our understanding of flavor interactions.

Background: It remains unclear whether the associations between dietary patterns and non-alcoholic fatty liver disease (NAFLD) vary by body mass index (BMI). We aimed to explore the association between dietary patterns and severe NAFLD incidence, and further investigate the interaction of BMI with dietary patterns., Methods: In a prospective cohort study using UK Biobank data, we included White participants with baseline food frequency questionnaire (FFQ) information. Principal component analysis (PCA) with varimax rotation was performed to identify major dietary patterns. The primary outcome was severe NAFLD, defined as hospitalization due to NAFLD or non-alcoholic steatohepatitis (NASH). We employed cause-specific Cox regression for competing risks to assess the association and calculated the relative excess risk due to interaction (RERI) to estimate the interaction of BMI., Results: This study included 307,130 participants with a median follow-up of 12.68 years. 3104 cases of severe NAFLD were identified. PCA analysis revealed two primary dietary patterns: a prudent diet (RC1) and a meat-based diet (RC2). Multivariate analysis showed a standard deviation (SD) increase in RC1 was associated with lower severe NAFLD risk (HR 0.91 [95 % CI 0.88 to 0.94]), while a SD increase in RC2 was associated with higher risk (1.10 [1.05 to 1.14]). Significant interactions were observed between baseline BMI ≥25 kg/m 2 and dietary patterns (RC1: RERI: -0.22 [95 % CI -0.43 to -0.003]; RC2: 0.29 [0.03 to 0.56])., Conclusions: Targeted dietary modifications are vital for specific populations at risk of severe NAFLD, considering the significant interaction observed between BMI and dietary patterns., Competing Interests: Conflict of interest The authors declare that they have no competing interests., (Copyright © 2024 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)

This longitudinal study explored the intricate relationships between serum Brain-Derived Neurotrophic Factor (sBDNF) levels, exposure to childhood adversities, and the subsequent development of Post-Traumatic Stress Disorder (PTSD), distinguishing between earlier- and delayed-onset forms over a two-year follow-up period in individuals sustaining physical injuries. We recruited patients presenting with moderate to severe physical injuries at a trauma center, conducting baseline assessments of sBDNF levels and childhood adversities through the Adverse Childhood Experiences (ACE) questionnaire. Additionally, detailed socio-demographic and clinical data were compiled. The Clinician-Administered PTSD Scale for DSM-5 was employed to diagnose PTSD at 3, 6, 12, and 24 months post-injury. Binary and multinomial logistic regression analyses were applied to elucidate the interactions between sBDNF levels, childhood adversities, and PTSD onset patterns. Among 895 participants, PTSD was diagnosed in 107 individuals (11.9 %), with 76 (8.4 %) exhibiting symptoms indicative of earlier-onset PTSD and 31 (3.5 %) demonstrating delayed-onset PTSD. Significantly, lower sBDNF levels were associated with a higher risk of earlier-onset PTSD specifically in the context of childhood adversities. This association was not observed in individuals without childhood adversities or in those with delayed-onset PTSD. The findings suggest a complex and critical interplay between neurobiological factors, specifically sBDNF levels, and early life adversities in influencing the timing of PTSD onset, potentially deepening the understanding of PTSD etiology., Competing Interests: Declaration of Competing Interest No potential conflict of interest relevant to this article was reported., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Purpose: To determine the impact of PM 2.5 exposure in old age and its interactive effect with smoking on incident diabetes., Methods: A total of 2766 participants aged ≥60 years in China were interviewed at baseline for disease risk factors in 2001-03 and were then followed up for 10 years to document incident diabetes. They were assessed for daily PM 2.5 exposure in 2005. Multivariate Cox regression models were used to examine the association of PM 2.5 exposure with incident diabetes and interactive effect between PM 2.5 and smoking on incident diabetes., Results: During the cohort follow-up, 176 participants developed diabetes. The incidence of diabetes increased with PM 2.5 exposure; the multiple-adjusted hazard ratio (HR) of diabetes was 2.27 (95 % CI 1.36-3.77) in participants with PM 2.5 at ≥62.0 μg/m 3 compared to those at <62.0 μg/m 3 . There was a significant interaction effect of PM 2.5 with smoking on increased risk of diabetes. The adjusted HR for participants exposed to PM 2.5 levels ≥62.0 μg/m 3 who smoked was 4.39 (95 % CI 1.72-11.21), while for non-smokers it was 1.65 (95 % CI 0.88-3.09), compared to those at <62.0 μg/m 3 ., Conclusions: Exposure to PM 2.5 in old age was associated with an increased incidence of diabetes and smoking enhanced the impact of PM 2.5 on diabetic risk. These findings underscore the urgent need for air quality improvement measures and smoking cessation programs to mitigate the risk of diabetes in aging populations., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Purpose: To investigate the association of shift work and the risk for obstructive sleep apnea (OSA) with diabetes mellitus (DM), and the interaction effect of shift work and the risk for OSA on DM., Methods: Data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2019-2021 were used. The participants were 3012 employees aged 40 to 59 years. Shift work was assessed using self-reporting questionnaires. The risk for OSA was assessed by STOP-BANG score. The distribution of demographic factors was calculated using the chi-square test. Adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were calculated using multivariable logistic regression. An interaction effect between shift work and the risk for OSA on DM was evaluated using relative excess risk owing to interaction (RERI) and attributable proportion (AP) with 95% CIs. The synergic index (SI) was also calculated., Results: Shift work and the risk for OSA were each significantly associated with DM. There was also a significant interaction effect between shift work and the risk for OSA on DM. The RERI was 0.543 (95% CI 0.205-1.361) and the AP was 0.230 (95% CI 0.145-0.342). The SI was 1.662 (95% CI 1.481-1.843)., Conclusions: There was an association and a significant interaction effect of shift work and the risk for OSA on DM. The management of OSA in shift workers should be implemented to prevent DM., Competing Interests: Declarations Ethical approval This is an observational study. The requirement of ethical approval for this study were waived by the institutional review board of Kangbuk Samsung Hospital (approval number: KBSMC 2023-12-044). Competing interests The authors have no competing interests to declare that are relevant to the content of this article., (© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

This study investigated the spatial and temporal variations of PM2.5 concentrations in Harbin, China, under the influence of meteorological parameters and gaseous pollutants. The complex relationship between meteorological parameters and pollutants was explored using Pearson correlation analysis and interaction effect analysis. Using the correlation analysis and interaction analysis methods, four mechanical learning models, PCC-Is-CNN, PCC-Is-LSTM, PCC-Is-CNN-LSTM and PCC-Is-BP neural network, were developed for predicting PM2.5 concentration in different time scales by combining the long-term and short-term data with the basic mechanical learning models. The results show that the PCC-Is-CNN-LSTM model has superior prediction performance, especially when integrating short-term and long-term historical data. Meanwhile, applying the model to cities in other climatic zones, the results show that the model performs well in the Dwa climatic zone, while the prediction performance is lower in the CWa climatic zone. This suggests that although the model is well adapted in regions with a similar climate to Harbin, model performance may be limited in areas with complex climatic conditions and diverse pollutant sources. This study emphasizes the importance of considering meteorological and pollutant interactions to improve the accuracy of PM2.5 predictions, providing valuable insights into air quality management in cold regions., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Background: Although the genetic interplay with the environment has a major impact on obesity development, little is known on whether breastfeeding could modulate the genetic predisposition to obesity., Objectives: To investigate whether breastfeeding attenuates the effect of an obesity genetic risk score (GRS) on adiposity in European adolescents., Methods: Totally 751 adolescents from the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study were included, divided according to breastfeeding status into never breastfed, 1-3 months and ≥4 months. Adjusting by socioeconomic status and lifestyle factors multiple linear regression models were used to assess (1) the main effect of breastfeeding duration and (2) its interaction effect with an obesity GRS, to predict different adiposity measures., Results: A significant negative association between ≥4 months of breastfeeding and waist circumference (WC) z-score was observed [β (95% confidence interval), p-value] = [β = -0.189 (-0.37, -0.00), p = 0.044]. Also, significant interaction effects were observed for 1-3 and ≥4 months of breastfeeding and obesity GRS regarding body mass index (BMI) z-score [β = 0.155 (0.06, 0.24), p = 0.001] and [β = 0.108 (0.01, 0.18), p = 0.020, respectively] and fat mass index (FMI) z-score [β = 0.134 (0.04, 0.22), p = 0.003] and [β = 0.100 (0.01, 0.18), p = 0.026, respectively]., Conclusions: Breastfeeding modulates the association between the obesity GRS and body composition in adolescents., (© 2025 The Author(s). Pediatric Obesity published by John Wiley & Sons Ltd on behalf of World Obesity Federation.)

Objectives: Methyltransferase-like 3/14/16 (METTL3/14/16) presents the regulating valve in N6-methyladenosine (m 6 A) modification, involved in carcinogenesis. We addressed elucidating the relationship between single-nucleotide polymorphisms (SNPs) of the METTL3/14/16 gene and breast cancer (BC) susceptibility., Study Design: A case-control study included 680 BC patients and 680 healthy controls, individually matched for age (±2 years)., Methods: 7 SNPs were screened by bioinformatics tools. Conditional Logistic analysis was used to explore the association between SNPs and BC susceptibility. SNPs-reproductive factors interaction was assessed. qRT-PCR was conducted to detect the METTL3/14/16 expression of different SNPs. The potential biomechanism was explored using bioinformatics tools., Results: Among the 7 analyzed SNPs, METTL3 rs1061026 T>G exhibited a significant association with reduced susceptibility to BC. The TC+CC genotype of METTL14 rs428409 elevated BC risk, while the AG+GG genotype of METTL14 rs3087958 restrained BC risk. The stratified analysis further identified the protective effect of rs1061026 T>G and rs3087958 T>G, and the detrimental effect of rs428409 T>G in specific subgroups. Haplotype analysis revealed that haplotypes G rs1061026 C rs1061027 and G rs368669 Tr s428409 G rs3087958 were protective for BC. BC patients who carried the C allele in METTL14 rs428409 were more likely to be HER-2 positive. Individuals with age at menarche ≥14, number of pregnancies >1, and G allele in rs1061026 had a 47.7% decreased risk of BC. There were considerable multiplicative interactions between SNPs and reproductive factors. The relative expression of METTL3/14 was altered due to rs1061026 T>G, rs428409 T>C, and rs3087958 A>G. These three SNPs might interfere with the m 6 A modification and the expression level of BC-related genes., Conclusion: Our findings suggested that rs1061026 T>G, rs428409 T>C, and rs3087958 A>G might be associated with the risk of BC., Competing Interests: Disclosure The authors have stated that they have no conflicts of interest., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Rs768705 (TMEM161B) is one of the identified single nucleotide polymorphisms related to major depressive disorder (MDD). Paranoid personality traits are independently associated with the risk of MDD. This study aimed to investigate the interaction effect between rs768705 (TMEM161B) and paranoid personality traits on the new-onset risk of MDD in Chinese freshmen., Methods: A longitudinal study was conducted among 7642 Chinese freshmen without lifetime MDD at baseline in 2018. 158 new-onset MDD cases were ascertained in 2019. DNA samples were extracted to detect the genotype of rs768705. The diagnostic and statistical manual of mental disorders-IV criteria were used to determine MDD and personality disorder traits. Multiplicative interaction was assessed by logistic regression models. Tomas Andersson's method for calculating biological interactions was used to estimate the additive interaction., Results: Rs768705(AG) (OR = 1.88, 95 % CI: 1.24-2.83) and paranoid personality traits (OR = 3.68, 95 % CI: 2.57-5.26) were significantly associated with the risk of MDD. The multiplicative interaction model with the product term of rs768705 and paranoid personality trait traits had a significant interaction effect (OR = 4.20, 95 % CI:1.62-10.91). There was also a significant additive interaction effect (RR = 7.08, 95 % CI:4.31-11.65) for the incidence of MDD. Seventy seven percent patients among new MDD cases were attributed to the additive interaction effect between rs768705 and paranoid personality traits., Conclusions: Rs768705 (AG) may interact with paranoid personality traits to increase the incidence of MDD among Chinese college students. Schools and psychosocial health organizations should pay more attention to individuals with paranoid personality traits for MDD intervention and prevention., Competing Interests: Declaration of competing interest The authors declare no conflict of interests., (Crown Copyright © 2024. Published by Elsevier B.V. All rights reserved.)

Here, the pyrolysis decomposition behavior and kinetics of four kinds of organic hazardous wastes (OHWs) and their blends were investigated. The four types of OHWs are oil sludge (OS), paint sludge (PS), waste print circuit boards (WPCBs), and penicillin fermentation residue (PFR). A combination of thermogravimetry (TG) and derivative thermogravimetry (DTG) analysis was employed with Gaussian multi-peak fitting and Flynn-Wall-Ozawa (FWO) method. The results showed that OS was mainly pyrolyzed at 550-900 °C while PS, WPCBs, and PFR were mainly pyrolyzed at 150-550 °C. During co-pyrolysis, the PS/PFR exhibited the best pyrolysis performance among all the blends due to the high volatiles content in PS and PFR. The interaction analysis revealed that OS/PS exhibited the lowest coefficient of residue percentage compared to other blending samples, with OS/PFR following behind. This observation indicates a synergistic promotional effect between OS and PS, as well as between OS and PFR, during the co-pyrolysis process. Gaussian fitting showed that the carbonate decomposition peak of OS shifted towards lower temperatures during its co-pyrolysis with PS and PFR., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)

Objective: Genetic risks can accelerate ageing, yet better quality sleep may slow down it. We thus examined the interaction and combined effects of genetic predisposition and sleep quality on the risk of accelerate aging., Methods: This study included 407,027 participants from the UK Biobank. Sleep index of each participant was retrieved from the following seven sleep behaviors: snoring, chronotype, daytime sleepiness, sleep duration, insomnia, nap and difficulties in getting up. The biological age (PhenoAge) were estimated by corresponding algorithms based on clinical traits, and their residual discrepancies with chronological age were defined as the age accelerations (PhenoAgeaccel). We explored the interaction and combined effects of genetic risk and sleep quality on accelerated ageing by constructing a linear model., Results: Compared with participants in low sleep quality group, those in medium and high sleep quality group decreased 0.727 (95%CI, 0.653 to 0.801) and 1.056 (95%CI, 0.982 to 1.130) years of PhenoAgeaccel, respectively. Compared with participants in low genetic risk group, those in medium and high genetic risk group increased 0.833 (95%CI, 0.792 to 0.874) and 1.543 (95%CI, 1.494 to 1.592) years of PhenoAgeaccel, respectively. There was interaction between the genetic risk and sleep quality (P-interaction<0.001). For combined effect, compared to the group with high sleep quality and lower genetic risk, people with low sleep quality and high genetic risk had 2.747 (95%CI, 2.602 to 2.892) years higher PhenoAgeaccel., Conclusion: Our findings elucidate that better sleep quality could lessen accelerated biological ageing especially among population with high genetic risk., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)

Objective: We assessed the interaction between self-efficacy and joint problems and self-efficacy and visual problems on the risk of hearing aid abandonment in older adults., Design: A retrospective cohort study comprising older adults who received hearing aids in Chile was conducted. Hearing aid self-efficacy was measured using the S-MARS-HA questionnaire, while joint and visual problems were assessed through self-reported questions. Survival regression models were conducted to investigate the interaction between self-efficacy and joint problems, as well as self-efficacy and visual problems., Study Sample: The study included 355 older adults who received hearing aids through the Chilean public health sector., Results: A significant interaction effect indicated that the relationship between self-efficacy and the risk abandonment was influenced by joint problems (p < 0.05). In the subpopulation with joint problems, self-efficacy was associated with a reduced risk of hearing aid abandonment (HR = 0.81), whereas in the subpopulation without joint problems, the protective effect was more pronounced (HR = 0.52). The interaction between self-efficacy and visual problems was not significant., Conclusions: The interaction between self-efficacy and joint problems was associated with the risk of abandonment. Addressing limitations associated with joint problems and individuals' confidence in using their hearing aids could reduce the abandonment.

Output generation processes across South Asia are deemed unclean (highly emission-intensive) due to excessive reliance on fossil fuels. Thus, decarbonizing the growth processes of countries within this region has critical emphasis among policymakers. However, since the South Asian countries are not yet ready to undergo the renewable energy transition in full form, it is unlikely that their annual carbon discharge levels will subside anytime soon. Under such constraining circumstances, these countries need to limit the rate at which their respective carbon emission levels rise each year. Therefore, the impacts of digitalization on annual carbon emission growth rates in selected South Asian countries are assessed in this study. Overall, considering internet penetration rate as a proxy of digital technology adoption, the results confirm that policies aimed at digitalizing the concerned South Asian economies not only exert emission growth rate-reducing impacts via a direct channel, but also indirectly reduce emission growth rates by making natural resource-based industries more productive, expediting the energy sector greening processes, greening the financial sectors, making corruption controlling measures within institutions more effective, and limiting urbanization-induced environmental quality-worsening effects. Therefore, it is relevant for the South Asian governments to emphasize on digitalization while simultaneously ensuring that green digital technologies are adopted within the major macroeconomic sectors across this region., Competing Interests: The authors declare no known competing interests.The author declares that there is no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Author(s).)

Scarlet fever (SF) is an acute respiratory transmitted disease that primarily affects children. The influence of meteorological factors and air pollutants on SF in children has been proved, but the relevant evidence in Northwest China is still lacking. Based on the weekly reported cases of SF in children in Lanzhou, northwest China, from 2014 to 2018, we used geographical detectors, distributed lag nonlinear models (DLNM), and bivariate response models to explore the influence of meteorological factors and air pollutants with SF. It was found that ozone (O 3 ), carbon monoxide (CO), sulfur dioxide (SO 2 ), temperature, pressure, water vapor pressure and wind speed were significantly correlated with SF based on geographical detectors. With the median as reference, the influence of high temperature, low pressure and high pressure on SF has a risk effect (relative risk (RR) > 1), and under extreme conditions, the dangerous effect was still significant. High O 3 had the strongest effect at a 6-week delay, with an RR of 5.43 (95%CI: 1.74,16.96). The risk effect of high SO 2 was strongest in the week of exposure, and the maximum risk effect was 1.37 (95%CI: 1.08,1.73). The interactions showed synergistic effects between high temperatures and O 3 , high pressure and high SO 2 , high nitrogen dioxide (NO 2 ) and high particulate matter with diameter of less than 10 μm (PM 10 ), respectively. In conclusion, high temperature, pressure, high O 3 and SO 2 were the most important factors affecting the occurrence of SF in children, which will provide theoretical support for follow-up research and disease prevention policy formulation., (© 2024. The Author(s) under exclusive licence to International Society of Biometeorology.)

In order to explore the interactive effects of environmental factors on the chlorophyll-a (Chl-a) concentration variation in Honghu Lake, this study was based on the monitoring data of Chl-a mass concentration and water quality factors (water temperature, pH, dissolved oxygen, permanganate index, total nitrogen, total phosphorus) and meteorological factors (evaporation, precipitation, sunshine hours, average wind speed) at three research sites (Dakou, Chatan Island, Lantian) in Honghu Lake from January 2010 to December 2019. Time series analysis, piecewise structural equation model (PiecewiseSEM), and generalized additive model (GAM) were used to quantitatively study the spatial and temporal changes of different environmental factors and their interaction with chlorophyll-a concentration in Honghu Lake. The results showed that the effects of TN and DO on Chl-a at Dakou and Chatan Island were more significant than other environmental meteorological factors, while the effects of DO and COD Mn on Chl-a at Lantian were more obvious. At the same time, it was found that Chl-a had a non-linear relationship with TN and DO at Dakou and Chatan Island, a non-linear relationship with DO at Lantian, and a linear relationship with COD Mn . The interaction effect of dominant environmental meteorological factors on Chl-a was significantly higher than that of a single factor, and the explanation rates were 80.6%, 72.8%, and 64.6%, respectively. In conclusion, based on the Piecewise SEM and GAM model, it not only can reveal the influence of the interaction of influencing factors on the change of Chl-a concentration, but also has important significance for the early warning and control of lake eutrophication., (© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Since children with autism spectrum disorder (ASD) often exhibit selective eating behaviors, it is generally believed that they may have abnormal nutrient structure, leading to aberrant concentrations of some serum vitamins. However, previous studies on serum vitamins in individuals with ASD are mixed. Additionally, the interaction and association between multiple serum vitamin and ASD-related symptoms remain unclear. This study utilized a cross-sectional survey with a large sample size (n = 1235) from China to clarify previous mixed findings, and examine the interaction and association between multiple serum vitamins (including folic acid [FA], vitamin A [VA], vitamin E [VE], vitamin B12 [VB12], and vitamin D [VD]) and social adaptability and symptom severity in children with ASD. Findings found that symptom severity was negatively associated with concentrations of serum VA, VE, VB12, and VD; while, social adaptability was significantly associated with the natural log-transformed concentrations of FA and VB12. Finding also revealed the interaction of VA and VE on the association between both vitamins and severity of ASD symptoms, as well as the interaction of VB12 and FA on the association between both vitamins and social adaptability. In particular, the combination of low concentration of VA and high concentration of VE is associated with the lowest risk of being "severely autistic"; while, the combination of low concentration of FA and high concentration of VB12 is associated with the lowest risk of being "poor social adaptability". This study offers the evidence for the requirement of considering multiple vitamins comprehensively, as well as valuable references for revealing the association between vitamin disparities and food selectivity in children with ASD., (© 2024 International Society for Autism Research and Wiley Periodicals LLC.)

Studies have found that competitive products' online review ratings (ORRs) have a spillover effect on the focal product's sales. However, the spillover effect of online review sentiment (ORS) as an essential component of online review analysis has yet to be studied. In this study, we analyze online review content from JD.com using the latent Dirichlet allocation to identify the product attribute topics that consumers are most concerned about. We then construct a baseline regression model of ORS and ORRs to explore the effects of online competitive product reviews on focal product sales. Moreover, we examine how the interaction between ORS and critical factors of online reviews affect sales. Our results indicate that the ORS of competitive products has a negative effect on focal product sales, and the effect is greater than the ORS and ORRs of focal products, respectively. In addition, the ORS of competitive products inhibits the sale of focal products as evaluations of product attributes become more positive or online review usefulness increases. We also find that the effect of ORRs of competitive products is not significant, which may be because clothing, as an experiential product, requires consumers to gain more information about specific usage scenarios before making a decision. This study provides a more accurate basis for consumer decision-making and offers retailers a novel approach to developing marketing strategies.

Isolated traumatic spinal cord injury (t-SCI) and traumatic brain injury (TBI) represent significant public health concerns, resulting in long-term disabilities and necessitating sophisticated care, particularly when occurring concurrently. The impact of these combined injuries, while crucial in trauma management, on clinical, socioeconomic, and health care outcomes is largely unknown. To address this gap, our secondary retrospective cohort study used data from the Japan Trauma Data Bank, covering patients enrolled over a 13-year period (2006-2018), to elucidate the effects of concurrent t-SCI and TBI on in-hospital mortality. Data on patient demographics, injury characteristics, treatment modalities, and outcomes were analyzed. Multivariate logistic regression analysis was performed to examine prognostic variables associated with in-hospital mortality, including interaction terms between t-SCI severity and TBI presence. This study included 91,983 patients with neurotrauma, with a median age of 62 years (69.7% men). Among the patients, 9,018 (9.8%) died in the hospital. Concomitant t-SCI and TBI occurred in 2,954 (3.2%) patients. t-SCI only occurred in 9,590 (10.4%) patients, whereas TBI only occurred in the majority of these cases (79,439, 86.4%). Multivariate logistic regression analysis revealed age; sex; total number of comorbidities; systolic blood pressure at presentation; Glasgow coma scale score at presentation; and Abbreviated Injury Scale (AIS) scores for head, face, chest, abdomen, cervical-SCI, thoracic-SCI, and lumbar-SCI as significant independent factors for in-hospital mortality. The odds ratio of cervical-SCI × head AIS as an interaction term was 0.85 (95% confidence interval: 0.77-0.95), indicating a negative interaction. In conclusion, we identified 12 factors associated with in-hospital mortality in patients with t-SCI. In addition, the negative interaction between cervical t-SCI and TBI suggests that the presence of t-SCI in patients with TBI may be underestimated. This study highlights the importance of early recognition and comprehensive management of these complex trauma conditions while considering the possibility of concomitant t-SCI in patients with TBI.

Both cortical and cerebellar developmental differences have been implicated in attention-deficit/hyperactivity disorder (ADHD). Recently accumulating neuroimaging studies have highlighted hierarchies as a fundamental principle of brain organization, suggesting the importance of assessing hierarchy abnormalities in ADHD. A novel gradient-based resting-state functional connectivity analysis was applied to investigate the cerebro-cerebellar disturbed hierarchy in children and adolescents with ADHD. We found that the interaction of functional gradient between diagnosis and age was concentrated in default mode network (DMN) and visual network (VN). At the same time, we also found that the opposite gradient changes of DMN and VN caused the compression of the cortical main gradient in ADHD patients, implicating the co-occurrence of both low- (visual processing) and high-order (self-related thought) cognitive dysfunction manifesting in abnormal cerebro-cerebellar organizational hierarchy in ADHD. Our study provides a neurobiological framework to better understand the co-occurrence and interaction of both low-level and high-level functional abnormalities in the cortex and cerebellum in ADHD., (© 2024 The Author(s). Human Brain Mapping published by Wiley Periodicals LLC.)

Objective: We aimed to identify the individual and interactive effects of childhood abuse and suicidal ideation on antidepressant treatment response in 12 months., Methods: In this prospective research, 1,262 depressive patients were asked about their childhood abuse history, suicidal ideation, and other clinical characteristics and socio-demographic features at baseline, and 1,015 of them were followed during 1 year of stepwise pharmacotherapy. The individual and interactive relationships of the childhood abuse history and suicidal ideation on 12-month antidepressant non-remission were explored by logistic regression with relevant covariates., Results: Having a childhood abuse history and higher suicidal ideation significantly predicted a non-remission state in 12 months respectively. The interaction term of childhood abuse and suicidal ideation was also significantly related to a non-remission state at 12 months. To be specific, in the low suicidal ideation group, depressive patients with a childhood abuse history were more likely to be in a non-remission state after 12 months of medication. In the high suicidal ideation group, however, childhood abuse history was not significantly associated with the non-remission state at 12 months., Conclusion: The childhood abuse history and the level of suicidal ideation are informative factors predicting the long-term results of antidepressant treatment, especially when they are combined. Clinicians may consider antidepressants with a higher affinity for patients with childhood abuse history even if they don't have suicidal ideation. The cognitive intervention for suicidal ideation might be helpful in addition to pharmacological treatment.

Aim: Nutritional characteristics and additives in ultra-processed foods (UPF) are directly related to bone health. Physical activity as a modifiable lifestyle intervention also plays a possible role in bone mineral density (BMD), but effect of physical activity on association between UPF and osteoporosis is not fully understood. Herein, this study aims to explore the association of UPF with osteoporosis, and assess the potential mediating effects of some related factors on this pathway., Methods: Data of adults were extracted from the National Health and Nutrition Examination Survey (NHANES) database in this cross-sectional study. Associations of unprocessed/minimally processed food (MPF), processed culinary ingredient (PCI), processed foods (PF) and UPF with femur neck BMD, total femur BMD and osteoporosis were investigated using linear regression and weighted univariate and multivariate logistic regression analyses respectively. Subgroup analyses of age, gender, physical activity, poverty income ratio (PIR), hypertension, diabetes mellitus (DM), cardiovascular disease (CVD), and dyslipidemia were performed. The potential mediating and interaction effects of physical activity and related factors on association of UPF with osteoporosis were also assessed. The evaluation indexes were β, odds ratios (ORs) and 95% confidence intervals (CIs)., Results: Among 10,678 eligible persons, 454 had osteoporosis. After adjusting for covariates, elevated UPF intake was associated with decreased demur neck and total femur BMD (β=-0.003). A higher UPF intake level (> 57.51%) was linked to higher odds of osteoporosis (OR = 1.789). These relationships were also significant in different subgroups. Physical activity had a potential mediating effect on the association between UPF and osteoporosis (OR = 0.47, mediating proportion = 21.54%)., Conclusion: UPF intake levels were associated with BMD and osteoporosis. Physical activity had an interaction effect with UPF, and had a potential mediating effect on relationship between UPF and osteoporosis., (© 2024. The Author(s).)

Background and Objective: Depression is a widespread mental health condition that can impact both mental and physical well-being. Prior research has shown that high levels of copper in the blood and low levels of folate are linked to depression. This study aimed to explore whether serum folate levels, independently or in combination with serum copper levels, associated with the risk of depression., Methods: Data from participants aged 18-80 years in the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2016 were analyzed to examine the role of trace elements. Depression was assessed using the nine-item Patient Health Questionnaire (PHQ-9). Logistic regression analyses were employed to evaluate the main effect of serum copper and folate levels on depression. Three indices, including the relative excess risk of interaction (RERI), attributable proportion of interaction (API), and synergy index (SI), were used to analyze the interaction effect., Results: Among the 4,847 participants selected for this study, 429 (8.9%) had PHQ-9 scores above 10, which we defined as having depressive symptoms. After adjusting for all confounding factors, higher serum copper levels [≥15.5 vs. <15.5 μmol/L, odds ratio (OR): 1.54; 95% confidence intervals (CI): 1.18-2.11] and folate deficiency (folate ≥53.7 vs. <53.7 μmol/L, OR: 1.44; 95% CI: 1.21-2.10) were associated with an increased risk of depression. Patients with both higher serum copper levels and folate deficiency (OR: 2.11; 95% CI: 1.43-3.14) had the highest risk of depression than other levels. High copper levels and low folate levels are associated with the occurrence of depression symptoms, and there may be a synergistic effect between them (SI: 1.65; 95% CI: 1.49-4.76), with this interaction accounting for 19% of depression cases (API: 0.19; 95% CI: 0.01-0.54)., Conclusion: There may be a synergistic interaction between high copper levels and low folate levels associated with increasing risk of depression. Further population-based interventional studies are needed to confirm whether folic acid supplementation is effective in preventing depression in individuals with high blood copper levels., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Liu, Wang and Jiang.)

Purpose: Metabolic and bariatric surgery (MBS) is the gold standard in treating severe obesity. Previous research implies that different psychological and behavior-related factors might be critical for MBS' sustained success. Yet adherence to dietary behavior recommendations and its impact on weight development is rarely examined. This study investigated the relationship between adherence to dietary behavior recommendations and the percentage of total weight loss (%TWL) after MBS., Materials and Methods: This study is a cohort study (acquisition in Germany). N = 485 patients after MBS, being in grade III of obesity (body mass index (BMI) ≥ 40 kg/m 2 ) pre-MBS, were included. Participants answered a standardized assessment on the relevant constructs, including adherence to dietary behavior recommendations, depression symptoms, weight, diet, and MBS characteristics., Results: BMI pre-MBS, type of MBS, age, regularity of physical activity, and depression symptoms were identified as significant covariates of %TWL and adherence. Within 6 months after MBS, adherence seems to peak, F (5,352)  = 12.35, p < .001. Adherence and time since MBS predict %TWL. A higher adherence (moderator) is related to a higher %TWL, R 2  = 52.65%, F (13,344)  = 31.54, p < .001., Conclusion: After MBS, adherence to dietary behavior recommendations seems crucial for maximizing its success. Implications for the optimization of MBS' success in aftercare management arise. In particular, behavior modification interventions should be routinely implemented., (© 2024. The Author(s).)

On the basis of the sustainable concept, organic compounds and carbon materials both mainly composed of light C element have been regarded as powerful candidates for advanced electrochemical energy storage (EES) systems, due to theie merits of low cost, eco-friendliness, renewability, and structural versatility. It is investigated that the carbonyl functionality as the most common constituent part serves a crucial role, which manifests respective different mechanisms in the various aspects of EES systems. Notably, a systematical review about the concept and progress for carbonyl chemistry is beneficial for ensuring in-depth comprehending of carbonyl functionality. Hence, a comprehensive review about carbonyl chemistry has been summarized based on state-of-the-art developments. Moreover, the working principles and fundamental properties of the carbonyl unit have been discussed, which has been generalized in three aspects, including redox activity, the interaction effect, and compensation characteristic. Meanwhile, the pivotal characterization technologies have also been illustrated for purposefully studying the related structure, redox mechanism, and electrochemical performance to profitably understand the carbonyl chemistry. Finally, the current challenges and promising directions are concluded, aiming to afford significant guidance for the optimal utilization of carbonyl moiety and propel practicality in EES systems.

Accumulating evidence linked extreme temperature events (ETEs) and fine particulate matter (PM 2.5 ) to cardiometabolic multimorbidity (CMM); however, it remained unknown if and how ETEs and PM 2.5 interact to trigger CMM occurrence. Merging four Chinese national cohorts with 64,140 free-CMM adults, we provided strong evidence among ETEs, PM 2.5 exposure, and CMM occurrence. Performing Cox hazards regression models along with additive interaction analyses, we found that the hazards ratio (HRs) of CMM occurrence associated with heatwave and cold spell were 1.006-1.019 and 1.063-1.091, respectively. Each 10 μg/m 3 increment of PM 2.5 concentration was associated with 17.9% (95% confidence interval: 13.9-22.0%) increased risk of CMM. Similar adverse effects were also found among PM 2.5 constituents of nitrate, organic matter, sulfate, ammonium, and black carbon. We observed a synergetic interaction of heatwave and PM 2.5 pollution on CMM occurrence with relative excess risk due to the interaction of 0.999 (0.663-1.334). Our study provides novel evidence that both ETEs and PM 2.5 exposure were positively associated with CMM occurrence, and the heatwave interacts synergistically with PM 2.5 to trigger CMM.

Aim: The study aimed to investigate the interaction effect between blood selenium levels and stroke history on all-cause mortality., Methods: In this retrospective cohort study, participant data were obtained from the National Health and Nutrition Examination Survey (NHANES) 2011-2018. The covariates were screened via the backward selection method in weighted univariate and multivariate Cox regression models. Weighted univariate and multivariate Cox regression models were conducted to investigate the association of blood selenium and stroke history with all-cause mortality. The results were expressed as hazard ratios (HRs) and 95% confidence intervals (CIs). The synergy index (SI) was used to assess the assistive interaction. The association was further explored in different gender groups., Results: Totally, 8,989 participants were included, of whom 861 (9.57%) died. Participants with blood selenium ≥192.96 ug/L were associated with lower odds of all-cause mortality (HR = 0.70, 95% CI: 0.58-0.84), whereas those with a stroke history were associated with a higher risk of all-cause mortality (HR = 1.57, 95% CI: 1.15-2.16). Compared to participants with blood selenium ≥192.96 ug/L and non-stroke history, participants with both blood selenium < 192.96 ug/L and stroke history had a higher all-cause mortality risk (HR = 2.31, 95% CI: 1.62-3.29; SI = 0.713, 95% CI: 0.533-0.952). All participants with blood selenium < 192.96 ug/L and stroke history were related to higher all-cause mortality risk (HR = 1.61, 95% CI: 1.21-2.13). In males, the interaction effect of blood selenium and stroke history on all-cause mortality (HR = 2.27, 95% CI: 1.50-3.46; SI = 0.651, 95% CI: 0.430-0.986) increased twice., Conclusion: Blood selenium and stroke history have an interaction effect on all-cause mortality. Increasing selenium-rich food or supplement intake, especially for individuals with a stroke history, may improve poor prognosis., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Li, Liu, Yang and Xu.)

Background: Whether the effect of post-labeling delay (PLD) on cerebral blood flow (CBF) is influenced by age and sex in adults is unknown. In this study, we mainly aimed to explore the potential influence of age and sex on the effect of PLD on CBF., Methods: This prospective study enrolled 90 healthy adult volunteers (49.47±15.63 years of age; age range, 20-77 years; 47 female; 43 male). All participants underwent 3-dimensional (3D) pseudo-continuous arterial spin labeling (ASL) imaging with 3 different PLDs (1,525, 2,025, and 2,525 ms). The CBF values for each PLD, the arterial transit time (ATT), and the spatial coefficient of variation (spatial CoV) were computed for 21 regions of interest (ROIs) in every participant. Multivariate regression analysis was conducted to assess the potential influence of age and sex on the effect of PLD on CBF and the relationships among CBF, ATT, PLD, age, sex, and spatial CoV., Results: The CBF increased for 7.32 to 9.87 mL/100 g/min as the PLD increased per 1 second in the global gray matter, bilateral frontal, temporal lobes, the vascular territories of bilateral anterior and middle carotid artery. When the age increased per 1 year, the speed of the changes for CBF decreased for 0.26 to 0.3 mL/100 g/min/s in these regions. However, the CBF decreased for 12 to 17 mL/100 g/min as the PLD increased per 1 second in the bilateral limbic lobes, insula, and deep gray matter. In these regions, the speed of the changes for CBF increased for 0.2 to 0.28 mL/100 g/min/s as the age increased per 1 year. Furthermore, compared to the female, the speed of the changes for CBF decreased for 3.58 to 4.6 mL/100 g/min/s for the male in global gray matter, bilateral frontal, limbic lobes, and the vascular territories of bilateral anterior carotid artery, and the speed increased 4.49 to 5.09 mL/100 g/min/s for the male in the limbic lobes. In addition, the CBF decreased with aging and the CBF tended to be higher in females compared to males. At the same time, we found that the ATT of all ROIs increased with age and manifested higher in males than females. Moreover, we found that CBF decreased with the increase of ATT, and the effect of ATT on CBF was less influenced by PLD. Finally, we found that the spatial CoV of ASL in certain regions increased with the increase of ATT and age, and was greater in males., Conclusions: The effect of PLD on CBF can be influenced by age and sex. The relationships among CBF, ATT, PLD, age, sex, and spatial CoV found in this study may have certain significance for the study of ASL imaging in the future., Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-23-1622/coif). The authors have no conflicts of interest to declare., (2024 Quantitative Imaging in Medicine and Surgery. All rights reserved.)

Background: The android-to-gynoid fat ratio (A/G ratio), an emerging indicator of obesity independent of body mass index (BMI), has yet to be conclusively associated with arterial stiffness in type 2 diabetes mellitus (T2DM). This study aimed to construct a nomogram to estimate arterial stiffness risk in diabetics and explore the interaction effect between A/G ratio and traditional obesity indicators on arterial stiffness., Methods: 1313 diabetics were divided into 2 groups based on arterial stiffness identified by brachial ankle pulse wave velocity (baPWV), and demographic and clinical features were measured. The LASSO and multivariate logistics regression were used to develop the nomogram. Calibration curve, decision curve analysis (DCA) and receiver operating characteristic (ROC) were applied to assess calibration and clinical usefulness. Interaction effect analysis was performed to quantify the interactive relationship of A/G ratio and obesity indicators on arterial stiffness., Results: 6 independent predictors (age, gender, A/G ratio, SBP, LDL-C and HbA1C) were screened to construct a nomogram prediction model. The calibration curve demonstrated satisfactory agreement between predicted and actual probability, and the nomogram exhibited clinical beneficial at the threshold between 8 % and 95 % indicated by DCA. The area under curve (AUC) was 0.918 and 0.833 for training and external set, respectively. Further investigation revealed A/G ratio and BMI acted positively synergistically towards arterial stiffness, and in BMI-based subgroup analysis, elevated A/G ratio was a significant risk factor for arterial stiffness, especially in normal BMI., Conclusions: A/G ratio showed a substantial association with arterial stiffness, and the nomogram, incorporating age, gender, A/G ratio, SBP, LDL-C, and HbA1c, exhibited high predictive value. A/G ratio measurement in BMI-normal individuals assisted in identifying cardiovascular diseases early., Competing Interests: Declaration of competing interest The authors declare that they have no conflict of interest., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Background and Aims: Age-related mosaic chromosomal alterations (mCAs) detected from genotyping of blood-derived DNA are structural somatic variants that indicate clonal hematopoiesis. This study aimed to investigate whether mCAs contribute to the risk of cirrhosis and modify the effect of a polygenic risk score (PRS) on cirrhosis risk prediction., Methods: mCA call sets of individuals with European ancestry were obtained from the UK Biobank. The PRS was constructed based on 12 susceptible single-nucleotide polymorphisms for cirrhosis. Cox proportional hazard models were applied to evaluate the associations between mCAs and cirrhosis risk., Results: Among 448,645 individuals with a median follow-up of 12.5 years, we identified 2,681 cases of cirrhosis, 1,775 cases of compensated cirrhosis, and 1,706 cases of decompensated cirrhosis. Compared to non-carriers, individuals with copy-neutral loss of heterozygosity mCAs had a significantly increased risk of cirrhosis (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.12-1.81). This risk was higher in patients with expanded cell fractions of mCAs (cell fractions ≥10% vs. cell fractions <10%), especially for the risk of decompensated cirrhosis (HR 2.03 [95% CI 1.09-3.78] vs. 1.14 [0.80-1.64]). In comparison to non-carriers of mCAs with low genetic risk, individuals with expanded copy-neutral loss of heterozygosity and high genetic risk showed the highest cirrhosis risk (HR 5.39 [95% CI 2.41-12.07])., Conclusions: The presence of mCAs is associated with increased susceptibility to cirrhosis risk and could be combined with PRS for personalized cirrhosis risk stratification., Competing Interests: The authors have no conflict of interests related to this publication., (© 2024 Authors.)

The state of moderate and severe food insecurity in Ethiopia has not been significantly reduced for a long time due to cultural, natural, and manmade shocks, which cover most part of the country with considerable magnitude and have adverse effects on the health and economy. This temporal evolution of the wider geographic distribution of the food insecurity levels has not been investigated for the feeding culture and shocks effect in Ethiopia, though previous studies have indicated significant geographic distribution and related factors. In addition, the longtime zone-specific comprehensive drivers were not assessed. Therefore, this study focused on investigating the feeding culture-adjusted food insecurity levels (FCSL) and their evolutional sustainability across zones by identifying the factors causing each level of household's food insecurity tailored to a specific zone. In this study, Ethiopian socio-economic longitudinal data from years 2012, 2014, and 2016 with a sample size of 3835 households were analyzed. An ordinal spatiotemporal model with different interactions under empirical Bayes estimation was adopted, and the type III interaction with Markov random field was selected to reveal the evolution of FCSL sustainability across zones and find-out the causing factors of households to each level of food insecurity tailored to zone-level by analyzing the effects of diverse factors and shocks. The result reveals that a greater portion (52.07 %) of households' population is moderately and chronically food insecure. Basically, households living in neighboring zones have significantly similar food insecurity levels, and slight improvements were observed over time. This transition over time within neighboring zones, revealed that chronic food insecurity in neighboring zones has transited to moderate food insecurity, particularly in most of the northern and southwestern areas of Ethiopia. However, the interaction term showed that the change in food insecurity levels for households living in neighboring zones is similar at one time point, but the evolution is not sustainable. Therefore, working on major zone-specific factors, such as enhancing zone-level urbanization through improving market and road linkage to rural areas, education, employment, non-agricultural businesses, and promoting integrated farming by conserving soil with consideration of additional confounding factors, will bring change and can sustainably eradicate moderate and chronic food insecurity in zone households through controlling dependency ratios, shocks, and small land size farming. This study brings resilient, manageable, and zone-specific mitigation for households living in food-insecure and vulnerable zones., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Ltd.)

Establishing reliable predictive models for plant uptake of organic pollutants is crucial for environmental risk assessment and guiding phytoremediation efforts. This study compiled an expanded dataset of plant cuticle-water partition coefficients (K cw ), a useful indicator for plant uptake, for 371 data points of 148 unique compounds and various plant species. Quantum/computational chemistry software and tools were utilized to compute various molecular descriptors, aiming to comprehensively characterize the properties and structures of each compound. Three types of models were developed to predict K cw : a mechanism-driven pp-LFER model, a data-driven machine learning model, and an integrated mechanism-data-driven model. The mechanism-data-driven GBRT-ppLFER model exhibited superior performance, achieving RMSE train  = 0.133 and RMSE test  = 0.301 while maintaining interpretability. The Shapley Additive Explanation analysis indicated that pp-LFER parameters, ESPI, FwRadicalmax, ExtFP607, and RDF70s are the key factors influencing plant uptake in the GBRT-ppLFER model. Overall, pp-LFER parameter, ESPI, and ExtFP607 show positive effects, while the remaining factors exhibit negative effects. Partial dependency analysis further indicated that plant uptake is not solely determined by individual factors but rather by the combined interactions of multiple factors. Specifically, compounds with ppLFER parameter >4, ESPI > -25.5, 0.098 < FwRadicalmax <0.132, and 2 < RFD70s < 3, are generally more readily taken up by plants. Besides, the predicted K cw values from the GBRT-ppLFER model were effectively employed to estimate the plant-water partition coefficients and bioconcentration factors across different plant species and growth media (water, sand, and soil), achieving an outstanding performance with an RMSE of 0.497. This study provides effective tools for assessing plant uptake of organic pollutants and deepens our understanding of plant-environment-compound interactions., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

This paper aims to reveal the interaction relationship between microcracks and macrocracks and the influence of the interaction on the crack propagation behavior. A theoretical model of asphalt concrete was established for the interaction between microcracks with different crack densities and a macrocrack. And a meso-structure model of AC-13 dense-graded asphalt concrete was established by combining the Talyor medium method and the DEM (discrete element method). Macro and micro parameters, such as the stress-strain characteristics, crack evolution parameters, and crack tip stress field, were obtained through a semi-circular bend virtual test and used to study the characteristics of crack propagation under the interaction between microcracks and the macrocrack. The results indicate that the interaction has an effect throughout the process of asphalt concrete damage, and shows shielding and acceleration effects as the microcrack density changes. When the microcrack density is low ( f ≤ 0.8), the crack propagation process, which is affected by the interaction effect, exhibits significant differences, and the interaction effect shows the shielding effect. When the microcrack density is high ( 3 > 0.8), the fracture stage is mainly affected by the interaction effect, which shows the acceleration effect. The results provide a predictive theoretical and numerical model for low-temperature cracking of asphalt pavement, and theoretical support for the design, maintenance, and upkeep of long-life pavement.f 3 > 0.8), the fracture stage is mainly affected by the interaction effect, which shows the acceleration effect. The results provide a predictive theoretical and numerical model for low-temperature cracking of asphalt pavement, and theoretical support for the design, maintenance, and upkeep of long-life pavement.

Objective: It's well known that γ-Glutamyltransferase (γ-GGT) and obesity plays an important role in the development of preHT. However, the effect of γ-GGT on preHT in populations with different obesity status remains unclear., Methods: From February 2014 to January 2018, a total of 20,368 participants were enrolled in this study after excluding those with hypertension and liver diseases. Fasting blood samples were collected to measure γ-GGT and blood lipid levels and glucose indices. Demographic and clinical parameters such as sex, age, height, weight, neck circumference (NC), waist circumference (WC), hip circumference (HC), and body fat ratio (BFR); and information on smoking and alcohol consumption were collected by trained medical professionals., Results: Participants were divided into three groups based on obesity status. The prevalence of preHT was 83.5 % in the obesity group was higher than that in the overweight group (58.9 %) and the normal group (47.1 %). γ-GGT in different categories of obesity indices were significantly different, and higher obesity indices were found with higher γ-GGT levels. The interaction of γ-GGT and obesity indices such as NC, WC, HC, and BFR on the prevalence of preHT was significant ( P  = 0.028, 0.002, 0.007, and 0.034, respectively). Serum γ-GGT was found to be positively associated with preHT in participants with normal and overweight body mass indices., Conclusion: Our results indicate that γ-GGT is a risk factor for preHT in participants who are nonobese, and that the obesity indices NC, WC, HC, BFR, and γ-GGT were contributing factors in increasing the risk of preHT., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors. Published by Elsevier Inc.)

Background: Previous studies have revealed that an antioxidant diet is a protective factor against migraine. However, the association between zinc, an important antioxidant obtained from the diet, and migraine has received little attention. The purpose of this study was to explore the association between zinc intake with migraine., Methods: The present study used cross-sectional data from individuals who participated in the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2004. Logistic regression models and restricted cubic spline models were performed to explore the association between zinc intake and migraine., Results: A total of 9849 adults aged 20 years or older were included in this study. Zinc intake was negatively associated with migraine. Compared to participants in the lowest group of dietary zinc intake Q1 (≤5.93 mg/day), the adjusted ORs for migraine in Q2 (5.94-8.38 mg/day), Q3 (8.39-11.26 mg/day), Q4 (11.27-15.75 mg/day), and Q5 (≥15.76 mg/day) were 0.73 (95% CI: 0.60-0.89, p  = 0.004), 0.72 (95% CI: 0.55-0.95, p  = 0.02), 0.76 (95% CI: 0.58-0.99, p  = 0.04) and 0.73 (95% CI: 0.50-1.05, p  = 0.08), respectively. Our findings also suggested an interaction between zinc intake and age (P for interaction = 0.007). Additionally, the relationship between zinc intake and migraine in adults with 20-50 years was non-linear., Conclusions: A higher zinc intake is significantly associated with a decreased prevalence of migraine, and age can modify the association between them.

Gene-environment (GxE) interactions play a crucial role in understanding the complex etiology of various traits, but assessing them using observational data can be challenging due to unmeasured confounders for lifestyle and environmental risk factors. Mendelian randomization (MR) has emerged as a valuable method for assessing causal relationships based on observational data. This approach utilizes genetic variants as instrumental variables (IVs) with the aim of providing a valid statistical test and estimation of causal effects in the presence of unmeasured confounders. MR has gained substantial popularity in recent years largely due to the success of genome-wide association studies. Many methods have been developed for MR; however, limited work has been done on evaluating GxE interaction. In this paper, we focus on two primary IV approaches: the two-stage predictor substitution and the two-stage residual inclusion, and extend them to accommodate GxE interaction under both the linear and logistic regression models for continuous and binary outcomes, respectively. Comprehensive simulation study and analytical derivations reveal that resolving the linear regression model is relatively straightforward. In contrast, the logistic regression model presents a considerably more intricate challenge, which demands additional effort., (© 2024 Wiley Periodicals LLC.)

Background: To explore the relationship between occupational stress, burnout and depressive symptoms among railroad workers in Fuzhou, and to analyze the interaction of burnout and occupational stress on depressive symptoms., Methods: In this study, 861 railway employees of Fuzhou railway bureau were randomly selected from January to April, 2022. Occupational stress inventory revised edition (OSI-R), China job burnout inventory (CMBI) and Symptom Checklist-90 (SCL-90) were used to investigate the occupational stress, job burnout and depressive symptoms of railway workers. Interactions associated with depressive symptoms were assessed by linear hierarchical regression analysis and SPSS macros (PROCESS)., Results: Occupational stress, job burnout and depressive symptoms accounted for 50.58%, 93.47%, and 11.19% of the study population, respectively. There were intergroup differences between age, marriage status, and length of service (P < 0.05). Occupational stress and job burnout are the main risk factors for depressive symptoms (OR: 2.01, 95% CI: 1.17-3.45; 1.94, 1.69-2.23, respectively). More importantly, further analysis of the interaction between occupational stress and job burnout showed that those with high levels of job burnout had a high-risk effect on depressive symptoms at high levels of occupational stress., Conclusion: Occupational stress and job burnout are risk factors for depressive symptoms among railroad workers in Fuzhou City. The interaction of job burnout and occupational stress increases the risk of depressive symptoms., (© 2024. The Author(s).)

Background: There are various methods to assess interaction effects. However, current methods have limitations, and quantification of interaction effects is rarely performed. This study aimed to develop a unified quantitative framework for assessing interaction effects., Methods: We proposed a novel framework using log-linear models with a product term(s) across the exposures that generates parametric bi-variate association and interaction effect surfaces and allows flexible functional forms for exposures in the interaction term(s). In a case study, we assessed the interaction effects between temperature and air pollution (i.e., PM 2.5 , NO 2 , and O 3 ) on risk for kidney-related conditions in New York State (2007-2016) using a case-crossover design with conditional logistic models. Our measures of exposure were the moving averages at lag 0-5 days for air pollution (linear) and daytime mean outdoor wet-bulb globe temperature (WBGT; using a natural cubic spline)., Results: We derived closed-form expressions for the magnitude of multiplicative interaction effects (the joint relative risk divided by the product of the two conditional relative risks) and their uncertainties. In the case study, we found a Bonferroni-corrected significant multiplicative interaction effect (IE) between outdoor WBGT at the 99 th percentile (median as the reference) and (1) PM 2.5 (per 5 μg/m 3 increase, IE = 1.052; 95 % confidence interval [CI]: 1.019, 1.087) for acute kidney failure and (2) O 3 (per 5 ppb increase; IE = 1.022; 95 % CI: 1.008, 1.036) for urolithiasis (the latter being inconclusive based on the sensitivity analysis)., Conclusions: Our framework allows different functional forms of exposure variables in the interaction term, quantifies the magnitudes of entire-exposure-range (in addition to discrete exposure level) multiplicative interaction effects and their uncertainties in a categorical or continuous (linear or non-linear) manner, and harmonizes the two-way evaluation of effect modification. The case study underscores co-consideration of heat and air pollution when estimating health burden and designing heat/pollution alert systems., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)