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18. Sex‐Specific Association Between Childhood Adversity and Accelerated Biological Aging.

Author

Yu, Jie, Pu, Fan, Yang, Gan, Hao, Meng, Zhang, Hui, Zhang, Jingyun, Cao, Xingqi, Zhu, Lijun, Wan, Yuhui, Wang, Xiaofeng, and Liu, Zuyun

Subjects
GENETIC risk score, PSYCHOTHERAPY, AGING, PSYCHOLOGICAL abuse, PHYSICAL abuse, TELOMERES, ACTIVE aging
Abstract

Is childhood adversity associated with biological aging, and if so, does sex modify the association, and do lifestyle and mental health mediate the association? A lifespan analysis is conducted using data on 142 872 participants from the UK Biobank to address these questions. Childhood adversity is assessed through the online mental health questionnaire (2016), including physical neglect, physical abuse, emotional neglect, emotional abuse, sexual abuse, and a cumulative score. Biological aging is indicated by telomere length (TL) measured from leukocyte DNA using qPCR, and the shorter TL indicates accelerated biological aging; a lifestyle score is constructed using body mass index, physical activity, drinking, smoking, and diet; mental disorder is assessed using depression, anxiety, and insomnia at the baseline survey. The results reveal a sex‐specific association such that childhood adversity is associated with shorter TL in women after adjusting for covariates including polygenic risk score for TL, but not in men. Unhealthy lifestyle and mental disorder partially mediate the association in women. The proportions of indirect effects are largest for sexual and physical abuse. These findings highlight the importance of behavioral and psychological interventions in promoting healthy aging among women who experienced childhood adversity, particularly sexual and physical abuse. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Association of childhood adversity with frailty and the mediating role of unhealthy lifestyle: A lifespan analysis

Author

Yang, Gan, primary, Cao, Xingqi, additional, Yu, Jie, additional, Li, Xueqin, additional, Zhang, Liming, additional, Zhang, Jingyun, additional, Ma, Chao, additional, Zhang, Ning, additional, Lu, Qingyun, additional, Wu, Chenkai, additional, Chen, Xi, additional, Hoogendijk, Emiel O., additional, Gill, Thomas M., additional, and Liu, Zuyun, additional

Published
2023
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25. Accelerated aging mediates the associations of unhealthy lifestyles with cardiovascular disease, cancer, and mortality.

Author

Li, Xueqin, Cao, Xingqi, Zhang, Jingyun, Fu, Jinjing, Mohedaner, Mayila, Danzengzhuoga, Sun, Xiaoyi, Yang, Gan, Yang, Zhenqing, Kuo, Chia‐Ling, Chen, Xi, Cohen, Alan A., and Liu, Zuyun

Subjects
*TUMOR risk factors, *COMPLICATIONS of alcoholism, *SEDENTARY lifestyles, *CARDIOVASCULAR diseases risk factors, *BIOMARKERS, *DIET, *REGRESSION analysis, *RISK assessment, *AGING, *DESCRIPTIVE statistics, *FACTOR analysis, *RESEARCH funding, *ADVERSE health care events, *SMOKING, *BODY mass index, *TUMORS, *SECONDARY analysis, *PROPORTIONAL hazards models, *DISEASE risk factors, MORTALITY risk factors, CARDIOVASCULAR disease related mortality
Abstract

Background: With two well‐validated aging measures capturing mortality and morbidity risk, this study examined whether and to what extent aging mediates the associations of unhealthy lifestyles with adverse health outcomes. Methods: Data were from 405,944 adults (40–69 years) from UK Biobank (UKB) and 9972 adults (20–84 years) from the US National Health and Nutrition Examination Survey (NHANES). An unhealthy lifestyles score (range: 0–5) was constructed based on five factors (smoking, drinking, physical inactivity, unhealthy body mass index, and unhealthy diet). Two aging measures, Phenotypic Age Acceleration (PhenoAgeAccel) and Biological Age Acceleration (BioAgeAccel) were calculated using nine and seven blood biomarkers, respectively, with a higher value indicating the acceleration of aging. The outcomes included incident cardiovascular disease (CVD), incident cancer, and all‐cause mortality in UKB; CVD mortality, cancer mortality, and all‐cause mortality in NHANES. A general linear regression model, Cox proportional hazards model, and formal mediation analysis were performed. Results: The unhealthy lifestyles score was positively associated with PhenoAgeAccel (UKB: β = 0.741; NHANES: β = 0.874, all p < 0.001). We further confirmed the respective associations of PhenoAgeAccel and unhealthy lifestyles with the outcomes in UKB and NHANES. The mediation proportion of PhenoAgeAccel in associations of unhealthy lifestyles with incident CVD, incident cancer, and all‐cause mortality were 20.0%, 17.8%, and 26.6% (all p < 0.001) in UKB, respectively. Similar results were found in NHANES. The findings were robust when using another aging measure—BioAgeAccel. Conclusions: Accelerated aging partially mediated the associations of lifestyles with CVD, cancer, and mortality in UK and US populations. The findings reveal a novel pathway and the potential of geroprotective programs in mitigating health inequality in late life beyond lifestyle interventions. [ABSTRACT FROM AUTHOR]

Published
2024
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26. Associations Between Frailty and the Increased Risk of Adverse Outcomes Among 38,950 UK Biobank Participants With Prediabetes: Prospective Cohort Study

Author

Cao, Xingqi, primary, Li, Xueqin, additional, Zhang, Jingyun, additional, Sun, Xiaoyi, additional, Yang, Gan, additional, Zhao, Yining, additional, Li, Shujuan, additional, Hoogendijk, Emiel O, additional, Wang, Xiaofeng, additional, Zhu, Yimin, additional, Allore, Heather, additional, Gill, Thomas M, additional, and Liu, Zuyun, additional

Published
2023
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28. Association of childhood adversity with frailty and the mediating role of unhealthy lifestyle: Findings from the UK biobank

Author

Yang, Gan, primary, Cao, Xingqi, additional, Yu, Jie, additional, Li, Xueqin, additional, Zhang, Liming, additional, Zhang, Jingyun, additional, Ma, Chao, additional, Zhang, Ning, additional, Lu, Qingyun, additional, Wu, Chenkai, additional, Chen, Xi, additional, Hoogendijk, Emiel O., additional, Gill, Thomas M., additional, and Liu, Zuyun, additional

Published
2023
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29. Association of Sarcopenia with Cognitive Function and Dementia Risk Score: A National Prospective Cohort Study

Author

Lin, Ailing, primary, Wang, Ting, additional, Li, Chenxi, additional, Pu, Fan, additional, Abdelrahman, Zeinab, additional, Jin, Mengqi, additional, Yang, Zhenqing, additional, Zhang, Liming, additional, Cao, Xingqi, additional, Sun, Kaili, additional, Hou, Tongyao, additional, Liu, Zuyun, additional, Chen, Liying, additional, and Chen, Zuobing, additional

Published
2023
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30. Association of solid fuel use with a risk score capturing dementia risk among middle-aged and older adults: A prospective cohort study

Author

Pu, Fan, primary, Hu, Yingying, additional, Li, Chenxi, additional, Cao, Xingqi, additional, Yang, Zhenqing, additional, Liu, Yi, additional, Zhang, Jingyun, additional, Li, Xueqin, additional, Yang, Yongli, additional, Wang, Wei, additional, Liu, Xiaoting, additional, Hu, Kejia, additional, Ma, Yanan, additional, and Liu, Zuyun, additional

Published
2023
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31. Association of childhood adversity with frailty and the mediating role of unhealthy lifestyle: Findings from the UK biobank

Author

Yang, Gan, Cao, Xingqi, Yu, Jie, Li, Xueqin, Zhang, Liming, Zhang, Jingyun, Ma, Chao, Zhang, Ning, Lu, Qingyun, Wu, Chenkai, Chen, Xi, Hoogendijk, Emiel O., Gill, Thomas M., and Liu, Zuyun

Subjects
Article
Abstract

BackgroundChildhood adversity and lifestyle have been associated with frailty in later life, but not much is known about factors that may explain these associations. An unhealthy lifestyle may play an important role in the pathway from childhood adversity to frailty. Therefore, this study aims to investigate the association of childhood adversity with frailty, and the mediating role of unhealthy lifestyle in the association.MethodsThis lifespan analysis included 152914 adults aged 40-69 years old from the UK Biobank. We measured childhood adversity with five items: physical neglect, emotional neglect, sexual abuse, physical abuse, and emotional abuse through online mental health survey. Frailty was measured by the frailty index; an unhealthy lifestyle score (range: 0-5) was calculated based on unhealthy body mass index, smoking, drinking, physical inactivity, and unhealthy diet at the baseline survey. Multiple logistic regression and mediation analysis were performed.ResultsA total of 10078 participants (6.6%) were defined as having frailty. Participants with any childhood adversity had higher odds of frailty. For example, in the fully adjusted model, with a one-point increase in cumulative score of childhood adversity, the odds of frailty increased by 41% (Odds Ratio: 1.41; 95% Confidence Interval: 1.39, 1.44). Unhealthy lifestyle partially mediated the associations of childhood adversity with frailty (mediation proportion: 4.4%-7.0%). The mediation proportions were largest for physical (8.2%) and sexual (8.1%) abuse.ConclusionsAmong this large sample, childhood adversity was positively associated with frailty, and unhealthy lifestyle partially mediated the association. This newly identified pathway highlights the potential of lifestyle intervention strategies among those who experienced childhood adversity (in particular, physical and sexual abuse) to promote healthy aging.

Published
2023

32. Associations Between Frailty and the Increased Risk of Adverse Outcomes Among 38,950 UK Biobank Participants With Prediabetes: Prospective Cohort Study (Preprint)

Author

Cao, Xingqi, primary, Li, Xueqin, additional, Zhang, Jingyun, additional, Sun, Xiaoyi, additional, Yang, Gan, additional, Zhao, Yining, additional, Li, Shujuan, additional, Hoogendijk, Emiel O, additional, Wang, Xiaofeng, additional, Zhu, Yimin, additional, Allore, Heather, additional, Gill, Thomas M, additional, and Liu, Zuyun, additional

Published
2023
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34. Joint association of daytime sleep behaviors and dietary quality with the risk of dementia: A large prospective cohort study

Author

Cao, Xingqi, primary, Zhang, Jingyun, additional, Li, Xin, additional, Yang, Zhenqing, additional, Sun, Kaili, additional, Chen, Weiran, additional, Zhu, Yubo, additional, Xu, Qinglin, additional, Xu, Jiahui, additional, He, Liu, additional, Li, Xueqin, additional, Tan, Xiao, additional, Zhang, Lisan, additional, and Liu, Zuyun, additional

Published
2022
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35. Frailty increases the risk of adverse outcomes among 38,950 UK Biobank participants with prediabetes: A prospective cohort study

Author

Cao, Xingqi, primary, Li, Xueqin, additional, Zhang, Jingyun, additional, Sun, Xiaoyi, additional, Yang, Gan, additional, Zhao, Yining, additional, Li, Shujuan, additional, Hoogendijk, Emiel O., additional, Wang, Xiaofeng, additional, Zhu, Yimin, additional, Allore, Heather, additional, Gill, Thomas M., additional, and Liu, Zuyun, additional

Published
2022
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40. Does healthy lifestyle attenuate the detrimental effects of urinary polycyclic aromatic hydrocarbons on phenotypic aging? An analysis from NHANES 2001–2010

Author

Yang, Zhenqing, primary, Pu, Fan, additional, Cao, Xingqi, additional, Li, Xueqin, additional, Sun, Sudan, additional, Zhang, Jingyun, additional, Chen, Chen, additional, Han, Liyuan, additional, Yang, Yongli, additional, Wang, Wei, additional, Zhang, Yawei, additional, and Liu, Zuyun, additional

Published
2022
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41. Associations of Midlife Diet Quality with Incident Dementia and Brain Structure: Findings from the UK Biobank Study

Author

Zhang, Jingyun, primary, Cao, Xingqi, additional, Li, Xin, additional, Li, Xueqin, additional, Sun, Xiaoyi, additional, Yang, Gan, additional, Hao, Meng, additional, Sun, Ce, additional, Xia, Yang, additional, Huang, Huiqian, additional, Høj Jørgensen, Terese Sara, additional, Agogo, George O., additional, Wang, Liang, additional, Zhang, Xuehong, additional, Gao, Xiang, additional, Allore, Heather, additional, and Liu, Zuyun, additional

Published
2022
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43. Solid fuel use in relation to dementia risk in middle-aged and older adults: A prospective cohort study

Author

Pu, Fan, primary, Hu, Yingying, additional, Li, Chenxi, additional, Cao, Xingqi, additional, Yang, Zhengqing, additional, Liu, Yi, additional, Zhang, Jingyun, additional, Li, Xueqin, additional, Yang, Yongli, additional, Wang, Wei, additional, Liu, Xiaoting, additional, Hu, kejia, additional, Ma, Yanan, additional, and Liu, Zuyun, additional

Published
2022
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49. Additional file 4 of Aging metrics incorporating cognitive and physical function capture mortality risk: results from two prospective cohort studies

Author

Cao, Xingqi, Chen, Chen, Zhang, Jingyun, Xue, Qian-Li, Hoogendijk, Emiel O., Liu, Xiaoting, Li, Shujuan, Wang, Xiaofeng, Zhu, Yimin, and Liu, Zuyun

Abstract

Additional file 4: Table S3. Associations of the three aging metrics incorporating cognitive and physical function with all-cause mortality when additionally adjusting for comorbidities. Figure S2. Kaplan-Meier survival curves of the groups defined by the three aging metrics in NHANES.

Published
2022
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50. Additional file 5 of Aging metrics incorporating cognitive and physical function capture mortality risk: results from two prospective cohort studies

Author

Cao, Xingqi, Chen, Chen, Zhang, Jingyun, Xue, Qian-Li, Hoogendijk, Emiel O., Liu, Xiaoting, Li, Shujuan, Wang, Xiaofeng, Zhu, Yimin, and Liu, Zuyun

Abstract

Additional file 5: Sensitivity Analyses Results. Table S4. Associations of the three aging metrics incorporating cognitive and physical function with all-cause mortality among older adults aged 60 years and over in NHANES (N = 2751). Figure S3. Association of the three aging metrics with all-cause mortality among older adults aged 60 years and over in NHANES (N = 2751).

Published
2022
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