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Background: Creation of a hypertension risk stratification model and development of an algorithm to detect hypertension in teenagers. Methods: The study group consisted of 690 middle and high school students, aged 15–17 years, from the metropolitan area of Warsaw, Poland. Information concerning family history and presence of risk factors for cardiovascular disease was gathered. Three-time blood pressure measurements were taken during at least two separate visits, which were at least a week apart, using the auscultatory method, according to standard procedures. Anthropometric measurements included: body weight, height, arm, hip and abdominal circumference, skin-fold thickness measured on the rear surface of an arm, below the inferior angle of the scapula and at the belly. Following indexes were determined: body mass index (BMI), waist to hip ratio (WHR), waist to height ratio (WHtR), hip to height ratio. Results: A logistic regression model, describing the risk of hypertension in adolescents aged 15–17 was invented. π (x)=e^(g (x))/(1+e^(g (x)) ) where: g (x) = –0.097 × height + 0.085 × weight + 7.764 × WHR + 1.312 × hypertens_1(=yes). Hypertens_1 means presence of hypertension among members of the closest family.The formula was created, allowing the pre-selection of adolescents at risk of hypertension during screening. Next an algorithm for the detection of hypertension for practical use was proposed. Conclusions: Body weight, WHR and incidence of hypertension in the family are the strongest predictors of hypertension in teenagers. Proposed screening algorithm can be a useful tool for selecting teenagers at risk of hypertension and in need of specialized diagnostics and care.

Objective To examine whether patterns of body mass index (BMI) percentile gains across childhood predict BMI percentile, overweight and obesity, waist circumference, and elevated or prehypertensive blood pressure at age 15. Methods Trained technicians in the Study of Early Child Care and Youth Development assessed children's weight and height from birth to 15 years and waist circumference and blood pressure at age 15 (n = 1,132). Children's BMI percentile trajectories from age 2 to age 13 along with 28 demographic and social covariates were used to predict BMI percentile, waist circumference, overweight, obesity, and elevated or prehypertensive blood pressure. Linear and logistic regressions were used to predict BMI percentile, overweight, obesity, waist circumference, and elevated or prehypertensive blood pressure. Results Children were classified into one of four BMI percentile trajectories: "low stable" (28.4%), "low-to-high" (11.8%), "median stable" (29.0%), and "high rising" (30.7%). Children in trajectory classes characterized by persistent above average BMI percentile or by periods of rapid BMI percentile gains were more likely than their peers to experience poor weight and elevated or prehypertensive outcomes in adolescence. Trajectory class membership explained substantially more variance in adolescent health outcomes than demographic covariates alone. Estimated maternal BMI was a key independent predictor of adolescent outcomes. Conclusions Different patterns of BMI percentile gains, namely those with rapid gains or persistently above average BMI percentile, from ages 2-13 predicted weight, waist circumference, and elevated or prehypertensive blood pressure at age 15, above and beyond demographic and social characteristics.

The need for adherence to a healthy and sustainable dietary pattern in the pediatric stage is discussed worldwide, being linked to a progressive incidence of noncommunicable diseases in adulthood. The aims of this systematic review were to summarize the healthy and/or sustainable dietary patterns, defined a priori, described in the literature for use during the pediatric stage; to evaluate the adherence to these dietary patterns; and identify the health-related benefits associated with adherence to these patterns. A literature search was carried out on Medline, Scopus, and Web of Science from 2010 up to 2021, according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 128 articles were included according to the following criteria: participants 2–17 y old, healthy and/or sustainable dietary patterns defined by an a priori methodology; articles written in English or Portuguese; and published since 2010. Fifty instruments with 14 adaptations that measure adherence to healthy and/or sustainable dietary patterns in children and adolescents were found. The Mediterranean Diet was the most studied dietary pattern. Adherence to healthy and/or sustainable dietary patterns has wide variations worldwide. Most of the instruments described have been little studied at pediatric ages, reducing the ability to extrapolate results. Higher adherence to these dietary patterns was associated with lower body fat, waist circumference, blood pressure, and metabolic risk. There is no consensus regarding the association with BMI. No studies have proofs of the sustainability characteristics of these instruments, it being necessary to produce a new sustainable instrument or test the association of the previous ones with, for example, the ecological footprint. Further validations of these instruments in each country and more prospective studies are needed to establish temporal relations with health-related outcomes. This systematic review was registered at www.crd.york.ac.uk/prospero/ as CRD42020221788.

This study investigates the associations of vigorous-intensity gardening time with cardiometabolic health risk markers. This cross-sectional study (AusDiab) analyzed 2011–2012 data of 3,664 adults (55% women, mean [range], age = 59.3 [34–94] years) in Australia. Multiple linear regression models examined associations of time spent participating in vigorous gardening (0

Background : Metabolic syndrome (MetS) is characterized by a cluster of biological irregularities. The purpose of this analysis was to examine the association of MetS with BC among Nigerian women, and for the first time evaluate this association by molecular subtype. Methods : MetS was defined as having at least 3 out of 5 of: high blood pressure (≥130/85 mm Hg), reduced HDL ( 150 mg/dL), high waist circumference (≥80 cm), and prior diagnosis of diabetes or elevated fasting glucose level (≥100 mg/dL). Among 296 newly diagnosed BC cases and 259 healthy controls, multivariable logistic regression models were utilized to estimate adjusted odds ratios (aOR) and 95% confidence intervals (95% CI) for the association between MetS and BC overall. Multinomial logistic regression models were used to evaluate each molecular subtype (Luminal A, Luminal B, HER2-enriched and triple-negative or TNBC). Results : After adjusting for age, socio-demographic and reproductive risk factors, there was a positive association between MetS and BC (aOR: 1.84, 95% CI: 1.07, 3.16). In stratified analyses, MetS was associated with BC regardless of BMI status; however, the estimate was significant only among normal weight women (aOR: 3.85; 95% CI: 1.25, 11.90). MetS was significantly associated with TNBC subtype (aOR: 4.37, 95% CI: 1.67, 11.44); associations for other molecular subtypes were not statistically significant. Conclusion : MetS appears to be a robust risk factor for BC, particularly for TNBC. Public health and clinical interventions can provide substantial benefits in reducing the burden of MetS and preventing BC among Nigerian women. MICRO-ABSTRACT : Metabolic syndrome is a cluster of biological irregularities that is a known risk factor for cardiovascular disease, stroke, and diabetes. In a case-control study of 555 Nigerian women, we observed that metabolic syndrome was strongly associated with breast cancer and the aggressive triple-negative molecular subtype, highlighting a need for clinical and lifestyle interventions targeting metabolic syndrome to reduce breast cancer risk in this population.

Background: Metabolic syndrome (MetS) is reportedly a crucial risk factor for coronavirus disease 2019 (COVID-19). Since the epidemiological studies that examine this association are few and include small samples, we investigated the relationship between MetS and COVID-19 severity and death using a larger sample in the Republic of Korea.Methods: We analyzed 66,321 patients, 4,066 of whom had COVID-19. We used chi-square tests to examine patients’ characteristics. We performed logistic regression analysis to analyze differences in COVID-19 infection and clinical outcomes according to the presence of MetS.Results: Although MetS was not significantly associated with COVID-19 risk, acquiring MetS was significantly associated with the risk of severe COVID-19 outcomes (odds ratio [OR], 1.97; 95% confidence interval [CI], 1.34 to 2.91; P=0.001). The mortality risk was significantly higher in COVID-19 patients with MetS (OR, 1.74; 95% CI, 1.17 to 2.59; P=0.006). Patients with abnormal waist circumference were approximately 2.07 times more likely to develop severe COVID-19 (PP=0.012).Conclusion: COVID-19 is likely associated with severity and death in patients with MetS or in patients with MetS risk factors. Therefore, patients with MetS or those with abnormal waist circumference and HDL-C levels need to be treated with caution.

OBJECTIVES: The aims of this study are to (1) create clusters of joint temporal patterns of diet and physical activity (PA), and (2) determine the association of these clusters with health status indicators including body mass index (BMI), waist circumference (WC), fasting plasma glucose, hemoglobin A1c, triglyceride, high-density lipoprotein cholesterol, total cholesterol, blood pressure and health outcomes including obesity, Type 2 Diabetes (T2DM) and metabolic syndrome (MS) in U.S. adults 20–65 years. METHODS: A random day of PA from accelerometry data and the first day 24 hour dietary recall collected in the National Health and Nutrition Examination Survey 2003–2006 were used to determine absolute PA intensity, absolute energy intake, and the time of these activities. Dietary and PA data from 1,627 U.S. adults were Z-normalized. Dynamic time warping (DTW) coupled with kernel-k means clustering algorithm was used to develop joint temporal dietary and PA patterns that maximally partition individuals with similar temporal behaviors into mutually exclusive clusters derived from the data rather than predefined standards. Multivariate regression models adjusted for ptential confounders, multiple comparisons and survey design factors determined associations between joint temporal patterns and health status indicators along with health outcomes (P

Background Several risk factors, among others lifestyle factors, have been suggested for hand eczema (HE). Objectives To investigate a possible association between HE and life style factors, including smoking, alcohol consumption, stress, body mass index (BMI), waist circumference, physical activity, diet and amount of sleep in the Dutch general population. Methods Data from the large population-based LifeLines Cohort Study was used. Individuals with HE in the past year were identified by a cross-sectional questionnaire in 2020. At baseline, information on lifestyle factors was collected. Results In total 57 046 individuals were included in the present analysis. Smoking ≥8 cigarettes/day, and smoking ≥15 pack years showed a positive association with HE in the past year. Also, chronic stress, a BMI > 30 kg/m2, and a waist circumference of >90 cm, were positively associated with HE in the past year. Conclusions The current study indicates that lifestyle factors are associated with HE. Advice regarding lifestyle factors might contribute to enhance overall health, of which HE might possibly benefit in conjunction. Further studies should also focus on the association between lifestyle factors and the severity and prognosis of HE rather than on occurrence alone. This article is protected by copyright. All rights reserved.

Summary Background & Aims Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease in children and one of the leading indications for liver transplantation in adults. However, current screening methods are inadequate and are accompanied by several disadvantages. This meta-analysis aims to identify the anthropometrical and biochemical characteristics most commonly appearing in pediatric NAFLD that could contribute to the diagnosis of the disease in the every-day clinical setting. Methods A systematic search was conducted in major electronic databases (MEDLINE, Scopus and Embase) up to 15th of August 2021. Primary outcome was the comparison of the anthropometric characteristics, whereas secondary outcomes were the comparisons of biochemical profile, lipid profile, and metabolic parameters in children with NAFLD compared with age-matched healthy controls. Quality assessment was performed with Newcastle-Ottawa Scale (NOS) and results were expressed as mean differences with 95% confidence intervals. Results Sixty-four studies were included. Two different comparisons were designed regarding the body mass status. Statistically significant differences were demonstrated by comparing children with NAFLD vs lean/normal weighted controls in body weight (23.0 kg, 95% CI: 14.0-31.8, P Conclusions Anthropometrical and biochemical characteristics of children and adolescents with NAFLD are statistically significantly different compared to age-matched controls; these characteristics could be used to identify individuals at risk of developing NAFLD and related comorbidities.

Objective To examine the combined association of central obesity and depressive symptoms with risk of heart disease in a national prospective cohort study of the Chinese population. Methods Data came from 10,722 community-dwelling adults aged over 45 years, from the China Health and Retirement Longitudinal Study during 2011-2018. Central obesity was assessed with waist circumference (WC) in physical examinations (men with a WC of ≥ 90 cm and women with a WC of ≥ 80 cm). Depressive symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale (score ≥ 10). Participants were assigned to four groups according to central obesity (yes/no) and depressive symptoms (yes/no). Cox proportional hazard regression was used after adjusting for covariates. Results During 7 years of follow-up, we identified 1080 heart disease cases. Compared with people without central obesity and depressive symptoms, the multivariable-adjusted hazard ratios (95% confidence intervals) were 1.39 (1.18, 1.64) for those who had central obesity alone, 1.44 (1.18, 1.77) for those who had depressive symptoms alone, and 1.88 (1.55, 2.30) for those who had both central obesity and depressive symptoms. The combined association in men was more evident than that in women. Conclusions Our study provided evidence that the coexistence of central obesity and depressive symptoms were associated with a substantially increased risk of heart disease compared to those without these two conditions.

Background and Aims Obesity affects metabolism, increasing the risk of developing non-communicable diseases in adolescence, due to excess adipose tissue and low cardiorespiratory fitness (CRF). The metabolomics approach allows the elucidation of metabolites, which may have the concentrations altered by several factors, such as body composition (BC). We aimed to analyze the metabolomic profile of adolescents with normal and overweight and associate the metabolites with clinical markers related to BC, insulin resistance (IR), and CRF. Methods and Results The sample was composed of 57 adolescents, divided into normal-weight (NWG, n = 24) and overweight (OWG, n = 33) groups. They underwent blood collection, anthropometric, BC, and CRF assessment. Blood serum samples were analyzed by 1H-NMR spectroscopy (600 MHz). The OWG presented higher values of body weight (BW), body mass index (BMI), waist circumference (WC), fasting glucose, insulin, IR, cholesterol, percentage of fat mass (% FM), and lower levels of V O2peak compared to NWG. The OWG presented lower concentrations of 3-hydroxyisovalerate, glutamate, and methionine, as well as higher concentrations of aspartate, asparagine, creatine, glycerol, myo-inositol, proline, pyruvate, tyrosine, and valerate compared to NWG. The concentrations of glutamate, myo-inositol, creatine, methionine, and valerate correlated with % FM, pyruvate, and valerate positively correlated with IR, while glutamate, tyrosine, and valerate negatively correlated with CRF. Conclusion Body composition changes the metabolomic profile of adolescents, and the altered metabolites are associated with increased IR and low CRF. These results suggest new targets for health monitoring, prevention of cardiovascular and metabolic diseases in adolescents.

Background: This article assessed the relationship between waist circumference (WC) and cardiorespiratory fitness (CRF) of children and adolescents aged 7–18 years. Methods: Using a stratified cluster random sampling method, 92,574 children and adolescents (47,364 males and 45,210 females) were extracted. CRF was measured by performance in the 20 m shuttle run test (20mSRT) and the subsequent estimation of maximal oxygen consumption (V˙O2max) using the Léger equations. Participants were divided into five groups of WC percentiles and three groups of CRF percentiles by the Lambda Mu Sigma (LMS). The correlation between WC and CRF was examined by one-way ANOVA and curvilinear regression analysis. Results: WC increased with age, while V˙O2max showed an age-related decline. Controlling for gender, urban, and rural factors, for children and adolescents aged 10–12, 13–15, and 16–18 years, the V˙O2max Z-score of the normal WC group was significantly higher than the very low WC group (P

Background: Cardiometabolic Index (CMI) was associated with several risk factors for stroke; however, few studies assessed the role of CMI in stroke risk. Objective: This study aimed to assess the association between CMI and stroke in a population- based cross-sectional study. Methods: This study included 4445 general residents aged ≥40 years selected by multistage stratified random cluster sampling. CMI was calculated as the product of the ratio of waist circumference to height (WHtR) and the ratio of triglyceride levels to high-density lipoprotein cholesterol levels (TG/HDL-C). Participants were categorized according to CMI quartiles: quartile 1 (Q1), quartile 2 (Q2), quartile 3 (Q3), and quartile 4 (Q4). Multivariate logistic regression analysis and receiver operating characteristic (ROC) curves were used to assess the association between CMI and stroke. Results: A total of 4052 participants were included in the study, with an overall stroke prevalence of 7.2%. The prevalence of stroke increased with CMI quartiles, ranging from 4.4% to 9.2% (p for trend Conclusion: Although there was a strong and independent association between CMI and stroke in the general population, CMI had limited discriminating ability for stroke. Thus, new parameters should be developed.

Background Nonalcoholic fatty liver disease (NAFLD) is increasingly prevalent, paralleling the obesity epidemic. Ketone bodies are produced in the liver, but it is currently uncertain whether circulating ketone bodies are increased in the context of NAFLD. We investigated the association between NAFLD and circulating ketone bodies and determined the extent to which NAFLD and circulating ketone bodies are associated with all-cause mortality.Methods Plasma ketone bodies were measured by nuclear magnetic resonance spectroscopy in participants of the general population-based PREVEND study. A fatty liver index (FLI) >= 60 was regarded as a proxy of NAFLD. Associations of an elevated FLI and ketone bodies with all-cause mortality were investigated using Cox regression analyses.Results The study included 6,297 participants aged 54 +/- 12 years, of whom 1,970 (31%) had elevated FLI. Participants with elevated FLI had higher total ketone bodies (194 [153-259] vs 170 [133-243] mu mol/L; P < .001) than participants without elevated FLI. During 7.9 [7.8-8.9] years of follow-up, 387 (6%) participants died. An elevated FLI was independently associated with an increased risk of mortality (HR: 1.34 [1.06-1.70]; P = .02). Higher total ketone bodies were also associated with an increased mortality risk (HR per doubling: 1.29 [1.12-1.49]; P < .001). Mediation analysis suggested that the association of elevated FLI with all-cause mortality was in part mediated by ketone bodies (proportion mediated: 10%, P < .001).Conclusion Circulating ketone bodies were increased in participants with suspected NAFLD. Both suspected NAFLD and higher circulating ketone bodies are associated with an increased risk of all-cause mortality.

Background Few studies have been conducted on the associations of body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHtR) with cognitive impairment among Chinese older adults through a prospective design. Objective This study was aimed to evaluate the associations of BMI, WC, and WHtR with cognitive impairment. Methods We included participants aged 65 years and older in 2014 at baseline and 2018 follow-up surveys of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). BMI, WC, and WHtR were calculated from measured weight, height, and waist circumference. Mini-Mental State Examination was utilized to assess cognitive impairment. Modified Poisson regression was used for calculating prevalence ratios, risk ratios, and 95% confidence intervals. Results A total of 5156 participants were included in 2014 at baseline. The prevalence of cognitive impairment was 42.5%, 26.7%, and 21.2% in underweight, normal-weight, and overweight/obesity participants defined by BMI categories, respectively, and 24.1% and 26.8% in central obesity participants defined by WC and WHtR cutoffs, respectively. Prospectively, participants with underweight were more likely to suffer from cognitive impairment (RR = 1.258, 95% CI: [1.016, 1.559]), but no risk was found among participants with overweight/obesity after adjustment. Regardless of whether covariates were adjusted or not, no effect on cognitive impairment was found in participants with WC and WHtR groups in the follow-up survey. Conclusions Underweight may be a significant risk factor for the cognitive impairment of Chinese older adults. Weight management programs targeting older adults should attach importance to achieving and maintaining optimal body weight and improving cognitive function.

Objective: Turner syndrome (TS) patients are at high risk of cardiometabolic disorders. Cardiometabolic risk factors are more commonly related to visceral rather than total body adiposity. Adipocytokines have been explored as a potential link between obesity and obesity-related cardiometabolic dysfunction. This study explored the validity of epicardial fat-thickness (EFT) and perihepatic fat-thickness (PHFT) measurement as cardiometabolic-risk predictors in TS-girls in relation to standard obesity-indices and metabolic syndrome (MetS) components. Methods: Forty-six TS girls and twenty-five controls (10-16 years) were subdivided into two age-groups (10 to less than 13 and 13-16). Participants were assessed for body mass index (BMI) Z-scores, waist circumference (WC), total-fat mass (FM) and trunk-FM by bioimpedance-technique, EFT and PHFT by cardiovascular magnetic resonance, lipid-profile, homeostasis model assessment of insulin resistance (HOMA-IR), and serum chemerin. MetS was defined according to International Diabetes Federation criteria. Results: Overweight/obesity and MetS were detected in 45.7% and 37% of TS-girls respectively. BMI Z-score, WC, total-FM, trunk-FM, EFT and PHFT values were significantly higher in TS-age groups compared to age-matched control groups, being more pronounced in the older group when TS-girls had been exposed to estrogen. Dyslipidemia, higher HOMA-IR, chemerin, EFT and PHFT values were observed in lean-Turner compared to BMI-Z-matched controls. EFT and PHFT were significantly correlated with chemerin and several components of MetS. EFT at a cut-off-value of 6.20 mm (area under the curve=0.814) can predict MetS in TS-girls. Conclusion: TS-girls displayed an adverse cardiometabolic profile during late childhood and adolescence. EFT and PHFT are emerging cardiometabolic risk predictors in TS-patients. Excess EFT rather than total body adiposity may contribute to altered metabolic profile among lean-Turner patients.

Background: Physical activity (PA) and discretionary screen time (DST; television and computer use during leisure) are both associated with obesity risk, but little longitudinal evidence exists on their combined influence. This study examined the independent and joint associations of changes in PA and DST with incident obesity, body mass index (BMI) and waist circumference (WC). Methods: We analysed the data of individuals aged 40–69 years from the UK Biobank, a large-scale, population-based prospective cohort study. PA was measured using the International Physical Activity Questionnaire and DST was defined as the total of daily TV viewing and non-occupational computer use. Changes in PA and DST over time were defined using departure from sex-specific baseline tertiles and categorised as worsened (PA decreased/DST increased), maintained, and improved (PA increased/DST decreased). We then used each exposure change to define a joint PA-DST change variable with nine mutually exclusive groups. We used multivariable adjusted mixed-effects linear and Poisson models to examine the independent and joint associations between PA and DST changes with BMI and WC and incident obesity, respectively. Development of a BMI ≥ 30 kg/m2 was defined as incident obesity. Results: Among 30,735 participants, 1,628 (5.3%) developed incident obesity over a mean follow-up of 6.9 (2.2) years. In the independent association analyses, improving PA (Incident Rate Ratio (IRR) 0.46 (0.38–0.56)) was associated with a lower risk of incident obesity than maintaining PA, maintaining DST, or improving DST. Compared to the referent group (both PA and DST worsened), all other combinations of PA and DST changes were associated with lower incident obesity risk in the joint association analyses. We observed substantial beneficial associations in the improved PA groups, regardless of DST change [e.g., DST worsened (IRR 0.31 (0.21–0.44)), maintained (IRR 0.34 (0.25–0.46)), or improved (IRR 0.35 (0.22–0.56)]. The most pronounced decline in BMI and WC was observed when PA was maintained or improved and DST was maintained. Conclusion: We found that improved PA had the most pronounced beneficial associations with incident obesity, irrespective of DST changes. Improvements in PA or DST mutually attenuated the deleterious effects of the other behaviour’s deterioration.

Churong Lin,1,&ast; Ling Sun,2,&ast; Qinchang Chen2 1Department of Radiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China; 2Department of Pediatric Cardiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, Guangzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Qinchang ChenDepartment of Pediatric Cardiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangdong Cardiovascular Institute, Guangdong Provincial Key Laboratory of Structural Heart Disease, No. 106 Zhongshan Road 2, Yuexiu District, Guangzhou, 510080, People’s Republic of ChinaEmail chenqinchang@gdph.org.cnObjective: In this study, we aimed to use a two sample Mendelian randomization (MR) method to identify a potentially causality between waist circumference and the risk of deep vein thrombosis (DVT).Methods: With a two‐sample MR approach, we analyzed the summary data. The main analysis was performed by using the summary genetic data from two large consortium cohorts. Three MR approaches were used to explore MR estimates of waist circumference for DVT (inverse‐variance weighted [IVW] approach, weighted median method and MR‐Egger method). A total of 224 single nucleotide polymorphisms (SNPs) were identified associated with the level of waist circumference at statistical significance (P < 5&ast;10− 8; linkage disequilibrium r2 < 0.1).Results: The result of IVW indicated the positive association between waist circumference and the risk of DVT (OR 1.012, 95% CI 1.009– 1.014, P 7.627E-17). The other two methods were observed with consistent result. MR-Egger regression analysis indicated that no evidence for the presence of directional horizontal pleiotropy. Additionally, DVT was not a causal factor for waist circumference.Conclusion: In summary, we used the GWAS genetic data from two large consortium cohorts and indicated the positive association between waist circumference and DVT. Further researches are needed to investigate potential mechanism and clarify the role of waist circumference on DVT.Keywords: waist circumference, deep vein thrombosis, coronary heart disease, Mendelian randomization, causality, MR, DVT

Background: Early identification of risk factors for cognition decline may contribute to the interventions for Alzheimer’s disease. Obesity is a common modifiable risk factor for chronic diseases. The association between obesity and cognition in older adults is limited, and sex differences in this area have not been well recognized. Objective: The aim of the study was to observe the sex differences in the relationship between obesity and cognition in a rural community-dwelling older population of Guizhou, China. Methods: Data were gathered from the baseline survey of a cohort study of older people in rural areas of Guizhou, China. Demographic and behavioral data (sex, age, education, household income, smoking history, drinking history, history of head injury, diet, and level of physical exercise time) were collected. The Mini-Mental State Examination (MMSE) was used to assess cognitive function. Body mass index (BMI), waist circumference (WC), hip circumference (HC), and waist-to-hip ratio (WHR) were used as different measures of obesity. Comparisons between the groups were made by the Wilcoxon rank-sum test or Kruskal-Wallis H test. Restricted cubic spline regression was used to examine a dose-response relationship between obesity indicators and cognitive function. Linear relationships were performed by the multivariable linear regression model. Results: A total of 1,654 participants including 964 women and 690 men were enrolled in this study. After adjustment, BMI showed a nonlinear relationship with MMSE scores in women. There was a significant trend toward increasing MMSE scores at the low end of BMI (13.52–20.10 kg/m2, p = 0.014). The multivariable linear regression model showed that MMSE increased by 0.631 (p < 0.001) for every one standard deviation increase in HC in women. No association was found between obesity parameters and cognitive function in men. Conclusion: Our results suggest that there are significant sex differences in some obesity parameters and cognition in an older Chinese population. BMI and HC are positively associated with cognitive function in women. No association was found between obesity measures and cognitive function in men.

Background Abdominal obesity as a risk factor for diagnosing metabolic syndrome (MetS) is conventionally evaluated using waist circumference (WC), although WC does not necessarily reflect visceral adiposity. Objective To examine whether replacing WC with “A Body Shape Index (ABSI)”, an abdominal obesity index calculated by dividing WC by an allometric regression of weight and height, in MetS diagnosis is useful for predicting renal function decline. Subjects/Methods In total, 5438 Japanese urban residents (median age 48 years) who participated in a public health screening program for 4 consecutive years were enrolled. Systemic arterial stiffness was assessed by cardio-ankle vascular index (CAVI). The predictability of the new-onset renal function decline (eGFR 2) by replacing high WC with high ABSI (ABSI ≥ 0.080) was examined using three sets of MetS diagnostic criteria: Japanese, IDF and NCEP-ATPIII. Results In Japanese and NCEP-ATPIII criteria, MetS diagnosed using ABSI (ABSI-MetS) was associated with significantly higher age-adjusted CAVI compared to non-MetS, whereas MetS diagnosed using WC (WC-MetS) showed no association. Kaplan–Meier analysis of the rate of new-onset renal function decline over 4 years (total 8.7%) showed remarkable higher rate in subjects with ABSI-MetS than in those without (log-rank test p p = 0.014–0.617). In gender-specific Cox-proportional hazards analyses including age, proteinuria, and treatments of metabolic disorders as confounders, ABSI-MetS (Japanese criteria for both sexes, IDF criteria for men) contributed independently to the new-onset renal function decline. Of these, the contribution of IDF ABSI-MetS disappeared after adjustment by high CAVI in the subsequent analysis. Conclusion In this study, replacing WC with ABSI in MetS diagnostic criteria more efficiently predicted subjects at risk of renal function decline and arterial stiffening.

Background In women, metabolic health deteriorates after menopause, and the role of physical activity (PA) in mitigating the change is not completely understood. This study investigates the changes in indicators of metabolic health around menopause and evaluates whether PA modulates these changes. Methods Longitudinal data of 298 women aged 48–55 years at baseline participating in the ERMA and EsmiRs studies was used. Mean follow-up time was 3.8 (SD 0.1) years. Studied indicators of metabolic health were total and android fat mass, waist circumference, waist-to-hip ratio (WHR), systolic (SBP) and diastolic (DBP) blood pressure, blood glucose, triglycerides, serum total cholesterol, and high- (HDL-C) and low-density (LDL-C) lipoprotein cholesterol. PA was assessed by accelerometers and questionnaires. The participants were categorized into three menopausal groups: PRE-PRE (pre- or perimenopausal at both timepoints, n = 56), PRE-POST (pre- or perimenopausal at baseline, postmenopausal at follow-up, n = 149), and POST-POST (postmenopausal at both timepoints, n = 93). Analyses were carried out using linear and Poisson mixed-effect models. Results At baseline, PA associated directly with HDL-C and inversely with LDL-C and all body adiposity variables. An increase was observed in total (B = 1.72, 95% CI [0.16, 3.28]) and android fat mass (0.26, [0.06, 0.46]), SBP (9.37, [3.34, 15.39]), and in all blood-based biomarkers in the PRE-POST group during the follow-up. The increase tended to be smaller in the PRE-PRE and POST-POST groups compared to the PRE-POST group, except for SBP. The change in PA associated inversely with the change in SBP (−2.40, [−4.34, −0.46]) and directly with the change in WHR (0.72, [0.05, 1.38]). Conclusions In middle-aged women, menopause may accelerate the changes in multiple indicators of metabolic health. PA associates with healthier blood lipid profile and body composition in middle-aged women but does not seem to modulate the changes in most of the studied metabolic health indicators during the menopausal transition.

Background Obesity is among the main determinants of nonalcoholic fatty liver disease progression towards severe liver disease (SLD). However, risk factors for SLD in individuals with obesity have not been examined. Objectives To identify the independent risk factors for SLD among participants with obesity from the UK Biobank. Methods A total of 80,224 UK Biobank participants with obesity (body mass index[BMI] > 30 kg/m2) and 242,822 without obesity, of European descent without clinical history of liver disease and liver cancer were prospectively followed for the onset of SLD, defined as a composite diagnosis of cirrhosis, decompensated liver disease, hepatocellular carcinoma and/or liver transplantation. Risk factors for incident SLD were assessed by Cox proportional hazards models. Different clinical phenotypes were derived by latent class analysis (LCA). Results Obesity conferred a 2.6-fold increased risk for SLD that was abolished after the inclusion of waist circumference (WC) in the model. Among individuals with obesity, age (adjusted hazard ratio [aHR] 1.05, 95%CI 1.03–1.07, p = 3.9 * 10−7), type 2 diabetes (aHR 2.18, 95%CI 1.55–3.05, p = 6.2 * 10−6), PNPLA3 rs738409 (aHR 1.59, 95%CI 1.33–1.9, p = 3.1 * 10−7) and WC (aHR 1.04, 95%CI 1.02–1.06, p = 8.5 * 10−6) were independent predictors of SLD. BMI category-specific WC thresholds allowed a better risk stratification compared to traditional ones. By LCA, the clinical phenotype at highest risk for SLD was that with BMI

Introduction: In young adults, metabolic syndrome (MS) is rare. To better assess the risks for future cardiovascular disease (CVD), a cardiometabolic score can be used, ranking the disease risk in each subject. The score is a continuous variable, summarizing the individual z-scores for waist circumference, blood pressure, blood levels of glucose, triglycerides, and high-density-lipoprotein cholesterol. Our main aim was to assess the association between early childhood growth and the cardiometabolic score in young adults. Methods: Study participants were recruited among subjects in the longitudinal population-based GrowUp 1990 Gothenburg study. Those with information on weight and length at birth, as well as weight, height, waist circumference, and parental body mass index (BMI) at 10 years of age were invited to participate in a health survey at 18–20 years of age. Five hundred and thirteen young adults (female 51%) were included. Multivariable linear stepwise regression analysis was applied. Results: The mean (standard deviation) BMI was 22.2 (3.26) in males and 21.3 (2.69) kg/m2 in females; the cardiometabolic score was 0.24 (3.12) and −0.22 (3.18), respectively. A statistically significantly higher score (p < 0.001) was seen in individuals with MS, as defined by IDF. After controlling for adult lifestyle features, the BMI z-score at 10 years of age was a significant risk factor in both sexes for an elevated cardiometabolic score in early adulthood with mean [standard error] beta 0.47 [0.19], p = 0.014 in males, and 0.82 [017], p < 0.0001 in females. In males, a high maternal BMI and low age at adiposity rebound and in females, high birth weight were also associated with a statistically significant risk. Additionally, contraceptive use in females was a risk factor for an elevated cardiometabolic score and in males, a high lifestyle-related index score showed a protective association with the cardiometabolic score. Conclusion: A high BMI z-score at 10 years of age is a risk factor for the cardiometabolic state in young adults, an outcome pointing to the preventive potential of monitoring BMI in 10-year-old schoolchildren. This finding must however be validated in a new large cohort. Moreover, in young adults in whom MS is rare, the cardiometabolic score seems to be a promising and more powerful tool to detect risks for CVD later in life than using MS categorization.

SUMMARY OBJECTIVE: To evaluate the association between muscle mass depletion and compromising of the cell membrane integrity and clinical–anthropometric characteristics in patients with nonalcoholic fatty liver disease. METHODS: This observational study evaluated waist circumference, body mass index, and waist-to-height ratio in patients with nonalcoholic fatty liver disease. Skeletal mass index corrected by weight and impairment of cell membrane integrity were assessed using bioelectrical impedance analysis. RESULTS: In 56 patients, muscle mass depletion was observed in 62.5% and cell membrane impairment in 28.6%. The metabolic syndrome and elevated aspartate aminotransferase were the only clinical factors associated with mass depletion (p0.05). CONCLUSIONS: The prevalence of mass depletion and cell membrane impairment was higher in patients with nonalcoholic fatty liver disease. The muscle mass depletion was associated with central obesity, aspartate aminotransferase elevated, and metabolic syndrome; however, the phase angle is not associated with clinical and anthropometric data.

Objective: The aim of this study was to analyze the relationship between body adiposity and physical fitness with performance in the Supine-to-Stand test (STS-test) in sedentary adolescents. Methods: Sixty-two adolescents, of both sexes, between 10 and 16 years old, participated in the study. Body mass (BM), height, waist circumference (WC), fat mass (FM), fat-free mass (FFM), right and left handgrip strength (HGS-right, HGS-left), abdominal resistance (ABDO), flexibility (FLEX), and cardiorespiratory fitness (VO2peak) were measured. Body mass index (BMI), z-score BMI (BMI-z), tri-ponderal mass index (TMI) and waist-to-height ratio (WHtR) were calculated. The STS-test was applied to evaluate the STS-MC by the movement patterns in the execution of the test. The STS-time in seconds (s) was categorized into terciles: fast (FG < 2.0 s), intermediate (IG = 2.0-2.6 s) and slow (SG > 2.6 s). One-way ANOVA, Chi-square, Spearman’s correlation coefficient as well as non-parametric tests were used, with significance p 0.05. Results: The SG presented higher BMI, BMI-z, TMI, WHtR, FM, %FM, as well as lower averages for %FFM, HGS-right, HGS-left, FLEX, ABDO, VO2peak, VO2peak relative to BM (VO2peakBM) in relation to GF. The BMI, BMI-z, TMI, WC, WHtR and FM showed moderate and direct correlations with STS-time and inverse with STS-MC (p < 0.01). HGS-right, HGS-left, ABDO, and VO2peakBM showed moderate and an inverse correlation with STS-time (p < 0.05). The VO2peakBM was moderate and with direct correlations to STS-MC (p < 0.01). Conclusion: It is concluded that excess fat and low physical fitness hamper STS-test performance. Therefore, the STS-test can be used for screening students to assess MC.

Objective To investigate whether dual-energy x-ray absorptiometry (DXA) estimates of adiposity improve risk prediction for cardiometabolic diseases over traditional surrogates, body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) in older women. Patients and Methods We analyzed up to 9744 postmenopausal women aged 50 to 79 years participating in the Women’s Health Initiative who underwent a DXA scan and were free of cardiovascular disease and diabetes at baseline (October 1993 to December 1998) and followed through September 2015. Baseline BMI, WC, WHR, and DXA-derived percent total-body and trunk fat (%TrF) were incorporated into multivariable Cox proportional hazards models to estimate the risk of incident diabetes, atherosclerosis-related cardiovascular diseases (ASCVDs), heart failure, and death. Concordance probability estimates assessed the relative discriminatory value between pairs of adiposity measures. Results A total of 1327 diabetes cases, 1266 atherosclerotic cardiovascular disease (ASCVD) cases, 292 heart failure cases, and 1811 deaths from any cause accrued during a median follow-up of up to 17.2 years. The largest hazard ratio observed per 1 standard deviation increase of an adiposity measure was for %TrF and diabetes (1.77; 95% CI, 1.66-1.88) followed by %TrF and broadly defined ASCVD (1.22; 95% CI, 1.15-1.30). These hazard ratios remained significant for both diabetes (1.47; 95% CI, 1.37-1.57) and ASCVD (1.22; 95% CI, 1.14-1.31) even after adjusting for the best traditional surrogate measure of adiposity, WC. Percentage of trunk fat was also the only adiposity measure to demonstrate statistically significant improved concordance probability estimates over BMI, WC, and WHR for diabetes and ASCVD (all P Conclusion DXA-derived estimates of abdominal adiposity in postmenopausal women may allow for substantially improved risk prediction of diabetes over standard clinical risk models. Larger DXA studies with complete lipid biomarker profiles and clinical trials are needed before firm conclusions can be made.

Objective Routine body size measurement of anthropometric values requires professionals, standardized techniques, and calibrated tools. Therefore, there is a need for easier screening tools such as the self-reported body silhouette (Self-bosi). The aim of this study was to analyze the performance of Self-bosi as a proxy of anthropometric values. Study design Prospective analytic study of the Health Workers Cohort Study. Methods Adult participants of the Health Workers Cohort Study were included. Then, through the calculation sensitivity and specificity of Self-bosi to detect abnormal waist circumference (WC) (≥90 cm for male and ≥80 cm for female participants), elevated body fat percentage (BF%) (≥25% for male and ≥35% for female participants), as well as overweight and obesity (≥25 kg/m2) and obesity (≥30 kg/m2). Results A total of 2471 male and 5940 female participants were analyzed. Overall, Self-bosi discriminate high WC values (area under the curve [AUC]; male participants: 0.80, female participants: 0.82); increased BF% (AUC: male participants: 0.78, female participants: 0.83); overweight and obesity (AUC: male participants: 0.81, female participants: 0.86); and obesity (AUC: male participants: 0.83, female participants: 0.89). Conclusion Self-bosi is an accurate method to assess increased WC, BF%, obesity, and overweight-obesity in Mexican adults. Given its simplicity and low-cost of the self-reported body silhouette, it might be considered a useful anthropometric screening instrument in large scale epidemiological research.

Background: Cardiovascular disease disproportionately affects African Americans as the leading cause of morbidity and mortality. Among African Americans, compared to other racial groups, cardiovascular disease onset occurs at an earlier age due to a higher prevalence of cardiometabolic risk factors, particularly obesity, hypertension and type 2 diabetes. Emerging evidence suggests that heritable epigenetic processes are related to increased cardiovascular disease risk, but this is largely unexplored in adolescents or across generations. Materials and Methods: In a cross-sectional descriptive pilot study in low-income African American mother-adolescent dyads, we examined associations between DNA methylation and the cardiometabolic indicators of body mass index, waist circumference, and insulin resistance. Results: Four adjacent cytosine and guanine nucleotides (CpG) sites were significantly differentially methylated and associated with C-reactive protein (CRP), 62 with waist circumference, and none to insulin resistance in models for both mothers and adolescents. Conclusion: Further study of the relations among psychological and environmental stressors, indicators of cardiovascular disease, risk, and epigenetic factors will improve understanding of cardiovascular disease risk so that preventive measures can be instituted earlier and more effectively. To our knowledge this work is the first to examine DNA methylation and cardiometabolic risk outcomes in mother-adolescent dyads.

PURPOSE To evaluate the association between severity of hepatic steatosis/fibrosis with clinical, laboratory, and echocardiographic characteristics, including visceral obesity and type 2 diabetes mellitus (T2DM)-related micro- and macrovascular complications in diabetic patients with non-alcoholic fatty liver disease (NAFLD). METHODS We studied 60 consecutive NAFLD outpatients with T2DM, recording several demographic and clinical characteristics, trunk and visceral fat, cardiac ultrasound, and micro- and macrovascular complications of diabetes mellitus including microalbuminuria, diabetic peripheral neuropathy, peripheral vascular disease, and cardiac autonomic function. Severity of steatosis and fibrosis was evaluated with abdominal ultrasound and liver stiffness measurements, respectively. RESULTS Twenty-three (41%) of the patients had grade 1 steatosis and mean liver stiffness was 7.5 ± 3 kPa. After applying Bonferroni correction for multiple comparisons, ferritin concentration was the only factor significantly different between patients with mild (grade 1) compared to those with moderate/severe (grade 2/3) steatosis and showed good discriminative ability for the presence of moderate/severe steatosis (AUC: 0.74, sensitivity 88%, specificity 48%, PPV 74%, and NPV 72%). In addition, waist circumference was the only factor associated with the presence of significant fibrosis (≥ F2) with very good discriminative ability (AUC: 0.77, sensitivity 89%, specificity 45%, PPV 75%, and NPV 70%). CONCLUSION Specific clinical and laboratory characteristics, which may be determined via widely accessible and noninvasive techniques, were associated with severity of diabetics NAFLD, taking into account echocardiographic characteristics, visceral obesity, and T2DM-related systemic complications.

The purpose of the study was to investigate whether premenopausal body mass index (BMI) and waist circumference (WC) influence age at menopause. A total of 2116 women aged 35-64 years from two communities of the CMCS Beijing cohort were recruited in 1992 and followed up to 2018. Of 1439 premenopausal women at baseline, 6 women data were missing. Finally, 1433 women were included for analysis. Overweight was defined as BMI 24-27.99 kg/m

BACKGROUND Hypertension is related to increased body fat, which can be evaluated by anthropometric indicators. The aim of this study was to determine the predictive power of anthropometric indicators and to establish their cutoff points as discriminators of high blood pressure. METHODS A cross-sectional study was conducted on 793 schoolchildren aged 10-14 years. Six anthropometric indices were used: body mass index-z-score (BMI-z-score), waist circumference (WC), waist-toheight ratio (WHtR), a body shape index (ABSI), body roundness index (BRI) and conicity index (CI). Elevated blood pressure (EBP) and hypertension (HTN) were characterized by values ≥ 90th and

The main aim of the current study was to examine novel anthropometric predictors of subjective weight among women. In this cross-sectional study, 229 women were selected through simple random sampling method. The participants completed the Multidimensional Body Self-Relation Questionnaire. Pearson correlation coefficient and linear regression were used to analyze the data. The mean subjective weight score was 4.05 ± 1.01. There was a significant relationship between anthropometric indices and subjective weight (Pearson r correlation range: 0.62-0.81

Objective Selective fetal growth restriction (sFGR) complicating twin to twin transfusion syndrome (TTTS) is associated with 3 to 6 fold increased risk of fetal demise after fetoscopic laser surgery (FLS). Identifying these patients is challenging due to varying definitions used in the literature. Our objective was to determine the association of three currently used definitions for sFGR with demise of the smaller twin, typically the donor, following FLS METHODS: Retrospective cohort of monochorionic diamniotic pregnancies undergoing FLS for TTTS between January 2015 to December 2018. The entire cohort was classified as sFGR and non sFGR using 3 different criteria: 1- International Society of Ultrasound in Obstetrics and Gynecology (ISUOG) as estimated fetal weight (EFW) of either twin 25% (Group A); 2- Delphi methods, EFW of either twin 95th centile (Group C). Pearson chi square, univariate and multivariate logistic regression analyses were performed. Results One hundred and twenty four patients underwent FLS between January 2015 and December 2018 for TTTS. 46/124 (37.1%) cases were identified as sFGR by ISUOG criteria (Group A), 57/124 (46%) cases were identified based on EFW Conclusions Fetal demise following FLS is increased in the presence of sFGR. Improving diagnosis of sFGR, will improve counseling and may affect management. Delphi method of defining sFGR based on presence of 2 of the 4 criteria had the highest predictive value of donor demise following FLS. This article is protected by copyright. All rights reserved.

Overweight, obesity, and metabolic syndrome (MetS) have become epidemic conditions affecting 39%, 13%, and 20% of the population respectively. The aim of this article is to review the literature on the association of obesity and MetS with the risk of cancer. We also explore the effect of lifestyle modifications, such as diet, physical activity, and antidiabetic medications, on cancer incidence. Increased body mass index (BMI) has been associated with a multitude of site-specific cancers, reaching relative risk (RR) 1.54 [95% confidence interval (CI) 1.47-1.61] per 5 unit increase for endometrial cancer, as well as with overall cancer risk (RR 1.03, 95% CI 1.02-1.05). Central adiposity measured by waist circumference or waist-to-hip ratio has been suggested as a stronger predictor than BMI for several cancers, such as colorectal cancer. Metabolic Syndrome has been consistently and positively associated with the risk of very common cancers like colorectal (RR 1.34, 95% CI 1.24-1.44), endometrial (RR 1.62, 95% CI 1.26-2.07) and postmenopausal breast cancer (RR 2.01, 95% CI 1.55-2.60). Hyperglycemia and subsequently T2DM have been also shown to increase the risk of cancer. Nevertheless, these risk factors are modifiable and therefore implementing lifestyle modifications could prevent an important number of cancer cases. Adherence to cancer prevention guidelines, including maintaining a healthy weight, having regular physical exercise (RR 0.58-0.90 for different cite specific cancers) and following a healthy dietary pattern (RR 0.74-0.94 for different cite specific cancers) have a protective effect on the risk of cancer. The strength of this review is the presentation of the best evidence, as the data derive mainly from meta-analyses. Public health policies should focus on the modification of risk factors and future research is needed to reveal the pathophysiological links between these risk factors and cancer to develop more efficient prevention and treatment strategies.

Background This study aimed to describe the prevalence of metabolically healthy obesity (MHO) and metabolically unhealthy normal weight (MUNW) rural adults in Xinjiang and to explore their influencing factors. Methods We selected 13,525 Uyghur, Kazakh and Han participants in Kashi, Yili and Shihezi areas in Xinjiang from 2009 to 2010. Weight status was classified according to body mass index. Metabolic phenotype was further defined based on the National Cholesterol Education Program Adult Treatment Panel III criteria. Results The prevalence of normal weight, overweight, and obesity were 51.6, 30.2, and 14.4%, respectively. The mean age of the population was 45.04 years. The prevalence of MHO was 5.5% overall and was 38.5% among obese participants. The prevalence of MUNW was 15.5% overall and was 30.1% among normal weight participants. A metabolically healthy phenotype among obese individuals was positively associated with females and vegetable consumption ≥4 plates per week. However, this was inversely associated with higher age, red meat consumption ≥2 kg per week, and larger waist circumference (WC). Conversely, a metabolically unhealthy phenotype among normal-weight individuals was positively associated with higher age, red meat consumption ≥2 kg per week, and larger WC; this was however inversely associated with vegetable consumption ≥4 plates per week. Conclusions The prevalence of MHO among obese adults in Xinjiang is higher than that of Han adults, while the prevalence of MUNW among normal weight adults is lower than that among Han adults. In obese and normal weight participants, higher age, more red meat consumption, and larger WC increase the risk of metabolic abnormality, and more vegetable consumption reduces the risk of metabolic abnormality.

Background Disease-free survival (DFS) and overall survival (OS) associations with anthropometric measures of obesity and changes in these exposures remain unknown among endometrial cancer survivors. Methods Endometrial cancer survivors diagnosed between 2002 and 2006 completed direct anthropometric measurements and self-reported lifetime weight history during in-person interviews approximately 4 months after diagnosis (peridiagnosis) and approximately 3 years after diagnosis (follow-up). Participants were followed-up until death or March 20, 2019. Cox proportional regression was used to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for body mass index (BMI), weight, waist circumference, and waist-hip ratio with DFS and OS. Statistical tests were 2-sided. Results A total of 540 and 425 cancer survivors were assessed peridiagnosis and follow-up, respectively. During the median 14.2 years of follow-up (range = 0.3-16.5 years), 132 participants had a recurrence and/or died (DFS), with 111 deaths overall (OS). Reduced DFS was noted with greater recalled weight 1 year before diagnosis (HR = 1.88, 95% CI = 1.15 to 3.07), BMI 1 year before diagnosis (HR = 1.88, 95% CI = 1.09 to 3.22), and measured peridiagnosis BMI (HR = 2.04, 95% CI = 1.18 to 3.53). Measured peridiagnosis waist circumference of at least 88 cm was associated with decreased DFS (HR = 1.94, 95% CI = 1.24 to 3.03) and OS (HR = 1.90, 95% CI = 1.16 to 3.13). A twofold decrease in DFS and OS was associated with a BMI of at least 5% or weight change from 1 year before diagnosis to peridiagnosis. No associations were observed for the assessment during follow-up. Conclusions One-year before- and peridiagnosis anthropometric measures of obesity were associated with reduced survival among endometrial cancer survivors. Anthropometric changes from 1 year before to peridiagnosis may provide an important indication of future survival in this population.

Background Obesity and osteoporosis are major public health issues globally. The prevalence of these two diseases prompts the need to better understand the relationship between them. Previous studies, however, have yielded controversial findings on this issue. Therefore, our aim in this study was to evaluate the independent association between waist circumference (WC), as a marker of obesity, and the bone mineral density (BMD) of the lumbar spine among middle-aged adults using data from the National Health and Nutrition Examination Survey (NHANES). Methods Our analysis was based on NHANES data from 2011 to 2018, including 5084 adults, 40–59 years of age. A weighted multiple linear regression analysis was used to evaluate the association between WC and lumbar BMD, with smooth curve fitting performed for non-linearities. Results After adjusting for BMI and other potential confounders, WC was negatively associated with lumbar BMD in men (β = −2.8, 95% CI: −4.0 to −1.6) and premenopausal women (β = −2.6, 95% CI: −4.1 to −1.1). On subgroup analysis stratified by BMI, this negative association was more significant in men with a BMI ≥30 kg/m2 (β = −4.1, 95% CI: −6.3 to −2.0) and in pre- and postmenopausal women with a BMI 2 (premenopausal women: β= −5.7, 95% CI: −9.4 to−2.0; postmenopausal women: β=−5.6, 95% CI: −9.7 to −1.6). We further identified an inverted U-shaped relationship among premenopausal women, with a point of inflection at WC of 80 cm. Conclusions Our study found an inverse relationship between WC and lumbar BMD in middle-aged men with BMI ≥30 kg/m2, and women with BMI 2.

Obesity has recently been mentioned as a metabolic pandemic in developed and developing countries and is an important known risk factor for type 2 diabetes and cardiovascular diseases. The main mechanism responsible for obesity is insulin resistance. Adropin is a peptide-structured regulatory hormone that is suggested to play a role in insulin resistance and metabolic regulation. We aimed to evaluate the associations of serum adropin with insulin resistance and clarify the factors affecting serum adropin concentrations. The study included 50 obese patients and 22 healthy controls. Patients with chronic disease and drug use history were excluded. Serum adropin and other metabolic parameters were obtained after overnight fasting. ELISA was used to measure serum adropin concentrations. The homeostatic model assessment-insulin resistance (HOMA-IR) index was used to calculate insulin resistance. Insulin resistance was defined as HOMA-IR >2.5. Serum adropin values were found to be low in the obese otherwise healthy patient group (p

Background The fat mass estimators waist-to-height ratio (WHtR) and relative fat mass—pediatric (RFMp) complement the widely accepted body mass index (BMI) in obesity evaluation. Aims of the Study: Conduct an easy appraisal of trunk fat and the cardiometabolic risk associated with pediatric obesity. Methods A total of 472 children (39% boys in the total sample) were classified as underweight, normal weight, overweight or obese (nutritional groups, NGs) according to BMI Z-score after initial anthropometric data were obtained and ad hoc exclusion criteria were applied. WHtR and RFMp (% of total fat) were calculated for each group, associations were assessed through multiple linear regression (MLR), and differences between sexes were evaluated (medians, IQR). Results The mean age (mean (95% CI)) was 10.8 y (10.1–11.1). The values in the total sample were as follows: WHtR, 0.5 (0.49–0.51) and RFMp%, 32.3 (31.7–33.0). In the overweight group, the values were as follows: WHtR, 0.51 (0.50–0.52) and RFMp(%), 34.2 (33.3–35.1). In the obese group, the values were as follows: WHtR, 0.56 (0.55–0.57) and RFMp(%), 37.8 (36.9–38.6). The associations were as follows (NG; independent variables): In the NG, adjusted R2 values were between 0.74 and 0.78. In the total sample, the beta coefficient was 3.36 (P p p The sex differences were as follows: BMI exhibited no differences in the NG (Mann-Whitney U). WHtR (median (IQR)) differed (M vs. F) in the total sample (0.49 (0.45–0.54) vs. 0.52 (0.45–0.56), p p p Conclusions WHtR and RFMp are simple and reliable indices that do not require centile charts. Their values, including waist circumference, can be used to estimate the different trunk fat components in boys and girls better than BMI, especially if individuals are overweight or obese. RFMp proved to be more reliable as it considers sex. Both should be included in routine anthropometric readings.

Background and aims The recent COVID-19 pandemic has further increased the importance of reducing obesity and prediabetes/diabetes. We aimed to evaluate the association between adiposity and regression of prediabetes/diabetes. Methods and results The San Juan Overweight Adults Longitudinal Study (SOALS) included 1351 individuals with overweight/obesity, aged 40–65, free of major cardiovascular diseases and physician diagnosed diabetes. From the 1012 participants with baseline prediabetes/diabetes, 598 who completed the follow-up were included. Over the follow-up, 25% regressed from prediabetes to normoglycemia or from diabetes to prediabetes or normoglycemia. Poisson regression with robust standard error was used to estimate the relative risk (RR) adjusting for major confounders. Higher neck circumference (NC) was associated with regression of prediabetes/diabetes (RR = 0.45 comparing extreme tertiles; 95% CI:0.30–0.66); RR was 0.49 (95% CI:0.34–0.73) for waist circumference (WC) and 0.64 (95% CI:0.44–0.92) for BMI. Significant associations were found using median cut-offs or continuous measures for weight and BMI. Greater reduction in BMI (comparing extreme tertiles) was significantly associated with regression of prediabetes/diabetes (RR = 1.44; 95% CI:1.02–2.02). Continuous measures of change in adiposity (except for NC) were also associated with regression of prediabetes/diabetes for BMI and weight. Participants who reduced BMI (>5%) increased prediabetes/diabetes regression (RR = 1.61; 95% CI:1.15–2.25) compared to those who did not; similarly for weight (RR = 1.55; 95% CI: 1.10–2.19). Additional analysis for body fat percentage showing slightly weaker results than BMI/weight further supported our findings. Conclusion Lower baseline adiposity and higher reduction in adiposity were associated with regression of prediabetes/diabetes among individuals with overweight/obesity.

Background Evidence on concurrent changes in overall diet quality and weight and waist circumference in women of reproductive age from low- and middle-income countries is limited. Objectives We examined the associations of changes in the Global Diet Quality Score (GDQS) and each GDQS food group with concurrent weight and waist circumference change in Mexican women. Methods We followed prospectively 8967 nonpregnant nonlactating women aged 25–49 y in the Mexican Teachers’ Cohort between 2006 and 2008. We assessed diet using an FFQ of the previous year and anthropometric measures were self-reported. Regression models were used to examine 2-y changes in the GDQS and each food group (servings/d) with weight and waist circumference changes within the same period, adjusting for demographic and lifestyle factors. Results Compared with those with little change in the GDQS (−2 to 2 points), women with the largest increase in the GDQS (>5 points) had less weight (β: −0.81 kg/2 y; 95% CI: −1.11, −0.51 kg/2 y) and waist circumference gain (β: −1.05 cm/2 y; 95% CI: −1.62, −0.48 cm/2 y); likewise, women with the largest decrease in the GDQS (

Background: Metabolic syndrome (MetS) is closely associated with the aging process. However, changes in metabolic conditions and cardiac function that occur in middle aged population remain unclear. We evaluated longitudinal changes in metabolic parameters and cardiac function during a 3-year period in subjects with suspected MetS.Methods: We studied 191 participants with suspected MetS at baseline and after 3 years. Anthropometric parameters, including waist circumference (WC), and metabolic parameters, including fasting blood glucose and lipid profile were measured. Conventional echocardiography with two-dimensional speckle tracking was performed.Results: Mean age was 56.2±4.4 years, and there were 97 women (50.8%). Men had increased WC and triglycerides (TG) (WC 91.2±6.8 cm vs. 84.0±8.0 cm, P

This study aimed to assess the performance of waist-to-height ratio (WHtR) in the prediction of metabolic syndrome and to determine the appropriate cutoff value in Thai adolescents. Demographic data, blood pressure, fasting blood glucose, and lipid profile were obtained from the Thai National Health Examination Survey V database. The performances of WHtR, waist circumference, body mass index (BMI), and BMI z-score were analyzed by the receiver operating characteristics. Among 2644 adolescents, metabolic syndrome was identified in 4.27%. The areas under the receiver operating characteristic curves of WHtR, waist circumference, BMI, and BMI z-score were comparable (0.924-0.960). Performance of WHtR was more constant across age groups compared with other parameters. Using the cutoff value of WHtR at 0.5 resulted in the sensitivity and specificity of 98.5%/83.4% and 88.9%/86.0% in males and females, respectively. In conclusion, the cutoff value of WHtR at 0.5 provided good sensitivity and specificity for identifying metabolic syndrome in both genders. However, the other clinical risk factors or more definite scores should be considered when further assessment.

OBJECTIVE Abdominal obesity is strongly associated with the development of non-alcoholic fatty liver disease (NAFLD). Early identification and intervention may reduce the risk. We aim to improve pediatric NAFLD screening by comparing discriminative performance of six abdominal obesity indicators. METHODS We measured anthropometric indicators (waist circumference [WC], waist-to-hip ratio [WHR], waist-to-height ratio [WHtR]), body composition indicators (trunk fat index [TFI], visceral fat area [VFA]), and endocrine indicator (visceral adiposity index [VAI]) among 1350 Chinese children aged 6-8 years. Using Spearman correlation, receiver operating characteristic (ROC) curves, and Logistic regression, we validated their ability to predict NAFLD. RESULTS All six indicators can predict NAFLD robustly, with area under the curve (AUC) values ranged from 0.69 to 0.96. TFI, WC, and VFA rank in the top three for the discriminative performance. TFI was the best predictor with AUC values of 0.94 (0.92-0.97) and 0.96 (0.92-0.99), corresponding to cut-off values of 1.83 and 2.31 kg/m2 for boys and girls, respectively. Boys with higher TFI (aOR = 13.8), VFA (aOR = 11.1), WHtR (aOR = 3.1), or VAI (aOR = 2.8), and girls with higher TFI (aOR = 21.0) or VFA (aOR = 17.5), were more likely to have NAFLD. CONCLUSION User-friendly body composition indicators like TFI can identify NAFLD and help prevent the progress of liver disease. TRIAL REGISTRATION Chinese Clinical Trial Registry (ChiCTR) ( www.chictr.org.cn/enIndex.aspx , No. ChiCTR2100044027); retrospectively registered on 6 March 2021. IMPACT Abdominal obesity increases the risk of pediatric non-alcoholic fatty liver disease (NAFLD). This study compared the discriminative performance of multiple abdominal obesity indicators measured by different methods in terms of accuracy and fastidious cut-off values through a population-based child cohort. Our results provided solid evidence of abdominal obesity indicators as an optimal screening tool for pediatric NAFLD, with area under the curve (AUC) values ranged from 0.69 to 0.96. User-friendly body composition indicators like TFI show a greater application potential in helping physicians perform easy, reliable, and interpretable weight management to prevent the progress of liver damage.

Background Atrial fibrillation (AF) has a higher prevalence in men than in women and is associated with measures of adiposity and lean mass (LM). However, it remains uncertain whether the risks of AF associated with these measures vary by sex. Methods Among 477 904 UK Biobank participants aged 40–69 without prior AF, 23 134 incident AF cases were identified (14 400 men, 8734 women; median follow-up 11.1 years). Cox proportional hazards models were used to estimate the covariate adjusted hazard ratios (HRs) describing the association of AF with weight, measures of adiposity [fat mass (FM), waist circumference (WC)] and LM, and their independent relevance, by sex. Results Weight and WC were independently associated with risk of AF [HR: 1.25 (1.23–1.27) per 10 kg, HR: 1.11 (1.09–1.14) per 10 cm, respectively], with comparable effects in both sexes. The association with weight was principally driven by LM, which, per 5 kg, conferred double the risk of AF compared with FM when mutually adjusted [HR: 1.20 (1.19–1.21), HR: 1.10 (1.09–1.11), respectively]; however, the effect of LM was weaker in men than in women (p-interaction = 4.3 x 10−9). Comparing the relative effects of LM, FM and WC identified different patterns within each sex; LM was the strongest predictor for both, whereas WC was stronger than FM in men but not in women. Conclusions LM and FM (as constituents of weight) and WC are risk factors for AF. However, the independent relevance of general adiposity for AF was more limited in men than in women. The relevance of both WC and LM suggests a potentially important role for visceral adiposity and muscle mass in AF development.

To identify the associations between waist circumference (WC), waist-hip ratio (WHR), body fat rate (BFR), total body fat mass (BFM), and the risk of low back pain (LBP). We have searched PubMed through October 2020 for observational studies investigating the associations between WC, WHR, BFR, or total BFM and the risk of LBP. Random-effect models were used to calculate the summary risk estimates and corresponding 95% confidence intervals (95% CIs). A total of fifteen studies with 92,936 participants were included, of which ten were related to WC, five were related to WHR, four were related to BFR, and four were related to total BFM. Pooled results indicated that high WC (odds ratio (OR) = 1.30, 95% CI 1.10–1.54) and WHR (OR = 1.33, 95% CI 1.00–1.76) were associated with an increased risk of chronic low back pain (c-LBP). High WC (OR = 1.18, 95% CI 1.03–1.34) was also associated with an increased risk of non-c-LBP. The risk of non-c-LBP increased by 23% (OR = 1.23, 95% CI 1.01–1.50) for every 10% increase in BFR, and for every 10 kg increase in total BFM, the risk of non-c-LBP increased by 24% (OR = 1.24, 95% CI 1.10–1.39). Observational epidemiological evidence suggested that individuals with increased WC, WHR, BFR, or total BFM tended to have an increased risk of LBP, regardless of whether their body mass indexes were normal. Excessive fat mass was the essence of the process.

Our primary objectives are to empirically identify distinct childhood groups based on trajectories of waist circumference (WC) and waist circumference index measurements, and then to estimate associations between these groups and adult diabetes incidence, as well as other outcomes, including blood pressure, body size, body composition, and hemoglobin levels. Childhood WC and height measurements as well as various adult measurements are taken from participants in the Fels Longitudinal Study. Childhood groups are identified using group-based trajectory modeling. Associations between the resulting group probabilities and adult outcomes are examined using mixed models. Our results show that distinct childhood groups are identifiable for both waist size measurements, with growth curves exhibited by these groups becoming distinguishably separate at around 4 years of age. Higher probabilities for groups exhibiting the larger waist size for either measurement were estimated to have higher risks of developing diabetes in adulthood. Associations were also observed between group probabilities and systolic blood pressure, diastolic blood pressure, and various anthropomorphic measurements, with most associations consistently occurring in early adulthood. These findings expand upon the existing literature, showing that childhood trends in waist size, distinguishable at ages as early as 4 years, are associated with adult Type-2 diabetes.

Aim We aimed to investigate the association between low muscle mass (LMM) and metabolic syndrome (MetS) according to the definition of LMM. Methods This study used data from the Korean National Health and Nutrition Examination Survey conducted from 2008 to 2011. We used appendicular skeletal muscle adjusted for height (ASM/Ht2 ) and weight (ASM/Wt) as definitions of LMM. Class I and Class II LMM were defined as ASM/Ht2 or ASM/Wt from 1 to 2 standard deviations (SDs) or 2 SDs below the mean for young adults, respectively. Results A total of 6370 participants were included in analysis: 58.5% were women. The mean age of participants in this study sample was 72.3 ± 4.8 years. In the fully adjusted model, ASM/Ht2 was inversely related to MetS prevalence (adjusted odds ratio [aOR] 0.770, 95% confidence interval [CI] 0.600-0.988 for class I, aOR 0.473, 95% CI, 0.327-0.684 for class II). In contrast, MetS prevalence increased in class I (aOR 1.902, 95% CI 1.510-2.396) and class II LMM (aOR 2.831, 95% CI 2.194-3.655) using ASM/Wt. ASM/Ht2 was proportional to the waist circumference and the number of metabolic features, whereas ASM/Wt was inversely proportional in both sexes. Stratified analysis showed that the association was robust regardless of the cardiovascular risk factors. Conclusion In Korean older adults, ASM/Wt is positively associated with MetS prevalence, whereas ASM/Ht2 is inversely associated, regardless of the cardiovascular risk factors. Waist circumference and the number of metabolic features were directly proportional to ASM/Ht2 , but inversely proportional to ASM/Wt. Geriatr Gerontol Int 2021; ••: ••-••.

Context Although previous observational studies have investigated the association between waist circumference (WC) values and serum vitamin D levels, findings have been inconsistent. Objective A systematic review and meta-analysis was performed to evaluate the effect of abdominal obesity (based on WC) on vitamin D deficiency or insufficiency in adults. Data Sources A systematic search of the published literature up to September 2020 was conducted in electronic databases, including MEDLINE (PubMed), EMBASE, Institute for Scientific Information (ISI) (Web of Science), Scopus, and Google Scholar, for observational studies that investigated the association between abdominal obesity (based on WC) or different categories of WC as the exposure and serum 25-hydroxy vitamin D levels as the outcome. Data Extraction Eighteen cross-sectional studies were included in the review. The relationship between WC values and combined serum vitamin D deficiency and insufficiency ( Data Analysis Combining 8 effect sizes from 5 investigations, including 7997 individuals, illustrated that the highest category of WC, compared with the lowest category of WC, was related to 82% increased odds of combined serum vitamin D deficiency and insufficiency ( Conclusion This meta-analysis of cross-sectional studies confirmed that increased WC was related to the elevated risk of combined vitamin D deficiency and insufficiency in adults. More prospective studies are needed to confirm causality. Systematic Review Registration PROSPERO registration no. CRD42020190485.

Objective This study examined the associations of central adiposity gain from midchildhood to early adolescence with cardiometabolic health markers in early adolescence. Methods A total of 620 participants were studied in Project Viva. In midchildhood (mean age = 7.8 years) and early adolescence (12.9 years), waist circumference and dual-energy x-ray absorptiometry-measured visceral adipose tissue, subcutaneous abdominal adipose tissue, and trunk fat were obtained. Central adiposity gain was calculated as change per year between visits. Cardiometabolic health markers, including blood pressure, lipids, markers of insulin resistance, inflammation, and adipokines, were collected in early adolescence. Results Greater waist circumference gain was associated with higher log triglycerides (β 0.07 mg/dL; 95% CI: 0.02-0.13), log alanine aminotransferase (0.07 U/L; 95% CI: 0.03-0.12), log high-sensitivity C-reactive protein (0.43 mg/L; 95% CI: 0.28-0.58), and other cardiometabolic markers in early adolescence. Directly measured central adiposity gains were associated with higher systolic blood pressure z score in early adolescence (visceral adipose tissue [0.13 SD units; 95% CI: 0.04-0.23], subcutaneous abdominal adipose tissue [0.18 SD units; 95% CI: 0.04-0.31], and trunk fat [0.21 SD units; 95% CI: 0.06-0.36]). These associations were independent of baseline and change in total adiposity from midchildhood to early adolescence. Conclusions Monitoring central adiposity gain may enable identification and intervention in children vulnerable to developing cardiometabolic health risks.