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Zhou Y, Sun Y, Pan Y, Dai Y, Xiao Y, Yu Y. Prevalence of successful aging in older adults: A systematic review and meta-analysis. Arch Gerontol Geriatr 2025; 128:105604. [PMID: 39182347 DOI: 10.1016/j.archger.2024.105604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 07/27/2024] [Accepted: 08/19/2024] [Indexed: 08/27/2024]
Abstract
BACKGROUND Successful aging (SA) describes the multidimensional aspects of achieving optimal physical and mental health and social well-being combinations in old age. Recent years have seen increasing interest in understanding SA prevalence. This study systematically evaluates the current state of SA globally, defined as multidimensional outcomes. OBJECTIVE To systematically evaluate the global prevalence of SA in older adults. METHODS We searched PubMed, Embase, Web of Science, Cochrane Library, China Biomedical Database, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, and Weipu Database from inception to February 14, 2024. Two researchers independently conducted literature screening, data extraction, and quality evaluation. Meta-analysis was performed using Stata 16.0. RESULTS Thirty studies comprising 250,460 older adults were included. Meta-analysis showed the overall global prevalence of SA was 24.0 % [95 % CI (20.7 %, 27.3 %)]. Prevalence rates were 25.1 % in Asia, 21.5 % in Europe, 20.6 % in the Americas; 16.8 % in developed and 27.1 % in developing countries. Subgroup analyses indicated higher SA rates among male older adults, married/cohabiting, living in urban areas, and having higher education levels. CONCLUSIONS The global prevalence of SA among older adults is low, with variations across age groups, regions, and education levels. Due to the limitations of the included studies, further high-quality research is needed to validate these findings.
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Affiliation(s)
- Yue Zhou
- College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yujian Sun
- College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yufan Pan
- College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yu Dai
- College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yi Xiao
- College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yufeng Yu
- College of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
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Liu Y, Wang J, Wei Z, Wang Y, Wu M, Wang J, Chen X, Chen R. Association of phenotypic age and accelerated aging with severity and disability in patients with acute ischemic stroke. J Nutr Health Aging 2024; 28:100405. [PMID: 39489143 DOI: 10.1016/j.jnha.2024.100405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 10/17/2024] [Accepted: 10/23/2024] [Indexed: 11/05/2024]
Abstract
OBJECTIVE Biological age may be more accurate than chronological age in determining chronic health outcomes. However, few studies have shown the association between biological age and acute ischemic stroke (AIS). In this study we showed the association between phenotypic age (PhenoAge) or accelerated aging and severity and disability in patients with AIS. DESIGN Retrospective study. SETTING AND SUBJECTS 936 patients with AIS during January 2019 to July 2021 and 512 patients during June 2022 to July 2023 for a validation. METHODS Stroke severity was evaluated based on the National Institute of Health stroke scale (NIHSS) questionnaire scale. Disability was evaluated by modified Rankin Scale. PhenoAge was calculated based on chronological age and 9 clinical chemistry biomarkers. Logistic regression analyses were applied to estimate the relationship between PhenoAge and the severity and disability. RESULTS PhenoAge (odds ratio [OR] = 1.03, 95% confidence interval [CI]: 1.0-1.04, for NIHSS ≥ 5; OR = 1.05, 95%CI: 1.03-1.07, for NIHSS ≥ 10) was independently associated with stroke severity. The probability of NIHSS ≥ 5 or NIHSS ≥ 10 was significantly increased in individuals with accelerated ageing versus individuals with no accelerated aging (age gap: OR = 1.79, 95%CI: 1.18-2.72; OR = 3.53, 95%CI: 1.60-7.77; phenotypically older vs. phenotypically younger: OR = 2.01, 95%CI: 1.21-3.35; OR = 3.69, 95%CI: 1.36-10.0). Similar trends was observed when accelerated aging was defined by residual discrepancies between PhenoAge and chronological age (OR = 1.02, 95%CI: 1.01-1.04, for NIHSS ≥ 5; OR = 1.05, 95%CI: 1.02-1.08, for NIHSS ≥ 10). The area under the curve of PhenoAge was higher than that of chronological age in identifying patients with NIHSS ≥ 5 (0.66, 95%CI:0.62-0.70 vs. 0.61, 95%CI: 0.58-0.65, p < 0.01) and NIHSS ≥ 10 (0.69, 95%CI:0.60-0.77 vs. 0.63, 95%CI: 0.55-0.72, p = 0.05). The probability of severe disability was significantly increased in individuals with accelerated aging versus individuals with no accelerated aging (age gap: OR = 2.87, 95%CI: 1.09-7.53; phenotypically older vs. phenotypically younger: 4.88 (1.20-19.88). Similar results were observed in the validation population. CONCLUSION PhenoAge or accelerated aging is associated with stroke severity and disability even after adjusting for chronological age.
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Affiliation(s)
- Yongkang Liu
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Jiangchuan Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Zicheng Wei
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Yu Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Minghua Wu
- Encephalopathy Center, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China
| | - Jianhua Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China.
| | - Xiao Chen
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 210029, China.
| | - Rong Chen
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, 100 N Greene, Baltimore, MD 21201, United States
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Jiang W, He Y, Liu Q, Peng S, Ni Y, Zhong X, Guo L. Associations between childhood maltreatment, peripheral immune biomarkers, and psychiatric symptoms in adults: A cohort study of over 138,000 participants. Brain Behav Immun 2024; 123:840-850. [PMID: 39477077 DOI: 10.1016/j.bbi.2024.10.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 09/24/2024] [Accepted: 10/27/2024] [Indexed: 11/04/2024] Open
Abstract
BACKGROUND Few studies have integrated the impact of individual and cumulative childhood maltreatment on multiple psychiatric symptoms, with the mechanisms underlying these associations largely unknown. This study aims to comprehensively assess the associations between childhood maltreatment, multiple peripheral immune biomarkers, and various psychiatric symptoms in adulthood and to explore whether peripheral immune inflammation plays a mediator role in the associations between childhood maltreatment and psychiatric symptoms in adulthood. METHODS Using data from the UK Biobank, we constructed a retrospective cohort study of 138,915 participants who provided self-reported childhood maltreatment and had peripheral immune biomarkers assessed. We examined seven types of psychiatric symptoms in adulthood, including depressive symptoms, anxiety symptoms, mania, post-traumatic stress disorder (PTSD), psychotic experiences, self-harm, and alcohol use disorder. Logistic regression models were performed to explore the associations between childhood maltreatment, immune biomarkers, and psychiatric symptoms, calculating the average marginal effects for each indicator of childhood maltreatment. Mediation analyses were conducted to determine the extent to which the immune biomarkers could explain the association between childhood maltreatment and psychiatric symptoms in adulthood. Subgroup and sensitivity analyses were also performed. RESULTS Among the participants, 77,937 (56.10 %) were female, with a mean age of 55.91 (SD: 7.73) years at baseline. There were dose-response relationships existed between the accumulation of childhood maltreatment indicators and all seven assessed psychiatric symptoms and multimorbidity in adulthood (e.g., for depressive symptoms, OR = 1.67 [95 %CI, 1.57 to 1.78] for one childhood maltreatment indicator; OR = 2.77 [95 % CI, 2.58 to 2.97] for two; OR = 4.91 [95 % CI, 4.61 to 5.24] for three or more). Emotional abuse and physical neglect showed the strongest average marginal effects on psychiatric symptoms. Levels of C-reactive protein (CRP) and counts of leukocytes and neutrophils were positively associated with depressive symptoms (e.g., OR = 1.13 [95 % CI, 1.08 to 1.17] for CRP level), anxiety symptoms, PTSD, and psychotic experiences. Moreover, levels of CRP partially mediated the association between childhood maltreatment scores and psychiatric symptoms, albeit with a relatively low mediation proportion (0.65 %-1.77 %). CONCLUSIONS Our findings underscore the importance of interventions that address multiple forms of childhood maltreatment to mitigate long-term mental health challenges substantially. While peripheral immunity responses may serve as predictors of mental health problems, they might not to be the primary mechanism through which childhood maltreatment influences psychiatric symptoms in adulthood.
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Affiliation(s)
- Weiqing Jiang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China
| | - Yitong He
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China
| | - Qianyu Liu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China
| | - Shuyi Peng
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China
| | - Yanyan Ni
- The University of Hong Kong, LKS Faculty of Medicine, Hong Kong Special Administrative Region, China
| | - Xiali Zhong
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Toxicology, School of Public Health, Sun Yat-sen University, China.
| | - Lan Guo
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China.
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Huang Y, Lin R, Wang W, Pan L, Huang C, Yu Y, Qin G, Bao Z, Zheng X. Association between self-reported child maltreatment and risk of hospital-treated infectious diseases in middle-aged and older adults: A UK Biobank cohort study. Prev Med 2024; 189:108153. [PMID: 39427925 DOI: 10.1016/j.ypmed.2024.108153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Revised: 10/15/2024] [Accepted: 10/16/2024] [Indexed: 10/22/2024]
Abstract
OBJECTIVE This study aimed to explore the association between child maltreatment and hospital-treated infectious diseases in middle-aged and older adults. METHODS 145,151 participants aged 38-72 years from the UK Biobank between 2006 and 2010 were enrolled and interviewed. Child maltreatment included five types: physical abuse, physical neglect, emotional abuse, emotional neglect, and sexual abuse. Patterns of maltreatment were identified using latent class analysis (LCA). Cox regression was employed to estimate the associations between child maltreatment (number of types, individual types, and patterns) and infectious diseases. Further, we evaluated potential mediators using mediation analysis. RESULTS Over a median follow-up of 13.4 years, 22,688 participants (12.26 per 1000 person-years) were hospitalized for an infectious disease. Participants reporting any maltreatment had elevated infectious diseases risk (HR 1.18, 95 % CI: 1.15-1.21) than those without maltreatment. A dose-response relationship was observed between the number of maltreatment types and infectious disease (one, HR 1.09 [95 % CI 1.06-1.13]; two, HR 1.17 [95 % CI 1.12-1.23]; three to five, HR 1.48 [95 %CI 1.41-1.55]; Ptrend < 0.001). Each type of maltreatment was associated with increased infectious diseases risk. LCA identified four patterns (low maltreatment, child neglect, child abuse, and poly-maltreatment), with those who experienced poly-maltreatment exhibiting the highest infectious diseases risk (HR 1.51, 95 % CI: 1.43-1.59). The association between child maltreatment and infectious diseases was mediated by C-reactive protein, phenotypic age acceleration, loneliness, psychiatric disorders, and unhealthy lifestyles. CONCLUSIONS Child maltreatment may increase susceptibility to a broad spectrum of infectious diseases in adulthood, highlighting the need for early-life maltreatment prevention policies.
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Affiliation(s)
- Yifang Huang
- Shanghai lnstitute of lnfectious Disease and Biosecurity, Fudan University, Shanghai, China; Department of Biostatistics, Key Laboratory for Health Technology Assessment, National Commission of Health, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Ruilang Lin
- Department of Biostatistics, Key Laboratory for Health Technology Assessment, National Commission of Health, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Wenhao Wang
- Department of Traditional Chinese Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China
| | - Lulu Pan
- Department of Biostatistics, Key Laboratory for Health Technology Assessment, National Commission of Health, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Chen Huang
- Department of Biostatistics, Key Laboratory for Health Technology Assessment, National Commission of Health, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yongfu Yu
- Department of Biostatistics, Key Laboratory for Health Technology Assessment, National Commission of Health, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Guoyou Qin
- Shanghai lnstitute of lnfectious Disease and Biosecurity, Fudan University, Shanghai, China; Department of Biostatistics, Key Laboratory for Health Technology Assessment, National Commission of Health, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
| | - Zhijun Bao
- Shanghai Key Laboratory of Clinical Geriatric Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China; Department of Gerontology, Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China; Shanghai institute of geriatric medicine, Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China.
| | - Xueying Zheng
- Department of Biostatistics, Key Laboratory for Health Technology Assessment, National Commission of Health, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
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Li C, Chen J, Chen Y, Zhang C, Yang H, Yu S, Song H, Fu P, Zeng X. The association between patterns of exposure to adverse life events and the risk of chronic kidney disease: a prospective cohort study of 140,997 individuals. Transl Psychiatry 2024; 14:424. [PMID: 39375339 PMCID: PMC11458756 DOI: 10.1038/s41398-024-03114-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 09/20/2024] [Accepted: 09/23/2024] [Indexed: 10/09/2024] Open
Abstract
Exposure to adverse life events is linked to somatic disorders. The study aims to evaluate the association between adverse events at varying life stages and the risk of chronic kidney disease (CKD), a condition affecting about 10% population worldwide. This prospective cohort study included 140,997 participants from the UK Biobank. Using survey items related to childhood maltreatment, adulthood adversity and catastrophic trauma, we performed latent class analysis to summarize five distinct patterns of exposure to adverse life events, namely "low-level exposure", "childhood exposure", "adulthood exposure", "sexual abuse" and "child-to-adulthood exposure". We used Cox proportional hazard regression to evaluate the association of patterns of exposure to adverse life events with CKD, regression-based mediation analysis to decompose the total effect, and gene-environment-wide interaction study (GEWIS) to identify interactions between genetic loci and adverse life events. During a median follow-up of 5.98 years, 2734 cases of incident CKD were identified. Compared with the "low-level exposure" pattern, "child-to-adulthood exposure" was associated with increased risk of CKD (hazard ratio 1.37, 95% CI 1.14 to 1.65). BMI, smoking and hypertension mediated 11.45%, 9.79%, and 4.50% of this total effect, respectively. Other patterns did not show significant results. GEWIS and subsequent analyses indicated that the magnitude of the association between adverse life events and CKD differed according to genetic polymorphisms, and identified potential underlying pathways (e.g., interleukin 1 receptor activity). These findings underscore the importance of incorporating an individual's psychological encounters and genetic profiles into the precision prevention of CKD.
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Affiliation(s)
- Chunyang Li
- Department of Nephrology and Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jie Chen
- Central Laboratory, Sichuan Academy of Medical Science and Sichuan Provincial Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yilong Chen
- Department of Nephrology and Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Chao Zhang
- Department of Nephrology and Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Huazhen Yang
- Department of Nephrology and Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Shaobin Yu
- Department of Nephrology and Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Huan Song
- Center of Mental Health, West China Hospital, Sichuan University, Chengdu, China
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Ping Fu
- Department of Nephrology and Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoxi Zeng
- Department of Nephrology and Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
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Liu C, Yang Z, He L, Xiao Y, Zhao H, Zhang L, Liu T, Chen R, Zhang K, Luo B. Optimal lifestyle patterns for delaying ageing and reducing all-cause mortality: insights from the UK Biobank. Eur Rev Aging Phys Act 2024; 21:27. [PMID: 39369207 PMCID: PMC11456244 DOI: 10.1186/s11556-024-00362-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Accepted: 09/19/2024] [Indexed: 10/07/2024] Open
Abstract
BACKGROUND With the rapid aging of the global population, identifying lifestyle patterns that effectively delay aging and reduce mortality risk is of paramount importance. This study utilizes the UK Biobank to analyze the associations of the Dietary Inflammatory Index, physical activity, and sleep on biological aging and all-cause mortality. METHODS A prospective cohort study was conducted using data from over half a million UK Biobank participants. Two datasets were created by subjective and objective measurements of physical activity: the Subjective Physical Activity (SPA) and Objective Physical Activity (OPA) datasets. Lifestyle patterns, including diet habits, exercise levels, and sleep quality, were assessed within these datasets. Biological aging was quantified using validated methods, including Homeostatic Dysregulation, Klemera-Doubal Method Biological Age, Phenotypic Age, and Telomere Length. All-cause mortality data were obtained from the National Health Service. Statistical analyses included weighted linear regression and Cox proportional hazard models, adjusted for a range of covariates. RESULTS The findings indicate that, in most cases, maintaining an anti-inflammatory diet, engaging in at least moderate physical activity, and ensuring healthy sleep conditions are associated with delayed physiological aging (Cohen's d ranging from 0.274 to 0.633) and significantly reduced risk of all-cause mortality (HR-SPA: 0.690, 95% CI: 0.538, 0.884; HR-OPA: 0.493, 95% CI: 0.293, 0.828). These effects are particularly pronounced in individuals under 60 years of age and in women. However, it was observed that the level of physical activity recommended by the World Health Organization (600 MET-minutes/week) does not achieve the optimal effect in delaying biological aging. The best effect in decelerating biological aging was seen in the high-level physical activity group (≥ 3000 MET-minutes/week). The study also highlights the potential of biological age acceleration and telomere length as biomarkers for predicting the risk of mortality. CONCLUSIONS Choosing healthy lifestyle patterns, especially an anti-inflammatory diet, at least moderate physical activity, and healthy sleep patterns, is crucial for delaying aging and reducing mortality risk. These findings support the development of targeted interventions to improve public health outcomes. Future research should focus on objective assessments of lifestyle to further validate these associations.
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Affiliation(s)
- Ce Liu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, People's Republic of China
| | - Zhaoru Yang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, People's Republic of China
| | - Li He
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, People's Republic of China
| | - Ya Xiao
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, People's Republic of China
| | - Hao Zhao
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, People's Republic of China
| | - Ling Zhang
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, People's Republic of China
| | - Tong Liu
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, People's Republic of China
| | - Rentong Chen
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, People's Republic of China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, New York, United States
| | - Bin Luo
- Institute of Occupational Health and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, People's Republic of China.
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Li J, Sun Y, Yu B, Cai L, Shen W, Wang B, Tan X, Guo Y, Wang N, Lu Y. Association patterns of ketone bodies with the risk of adverse outcomes according to diabetes status. Diabetes Obes Metab 2024; 26:4346-4356. [PMID: 39010294 DOI: 10.1111/dom.15782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 06/24/2024] [Accepted: 06/25/2024] [Indexed: 07/17/2024]
Abstract
AIM To investigate the associations between ketone bodies (KB) and multiple adverse outcomes including cardiovascular disease (CVD), chronic kidney disease (CKD) and all-cause mortality according to diabetes status. METHODS This prospective study included 222 824 participants free from CVD and CKD at baseline from the UK Biobank. Total KB including β-hydroxybutyrate, acetoacetate and acetone were measured by nuclear magnetic resonance. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between KB and adverse outcomes among participants with normoglycaemia, prediabetes and type 2 diabetes, respectively. RESULTS During a mean follow-up of 14.1 years, 24 088 incident CVD events (including 17 303 coronary heart disease events, 5172 stroke events and 5881 heart failure [HF] events), 8605 CKD events and 15 813 deaths, were documented. Higher total KB significantly increased the risk of HF among participants with normoglycaemia (HR, 1.32 [95% CI, 1.17-1.49], per 10-fold increase in total KB) and prediabetes (1.35 [1.04-1.76]), and increased the risk of CKD among those with normoglycaemia (1.20 [1.09-1.33]). Elevated KB levels were associated with an increased risk of all-cause mortality across the glycaemic spectrum (1.32 [1.23-1.42] for normoglycaemia, 1.45 [1.24-1.71] for prediabetes and 1.47 [1.11-1.94] for diabetes). Moreover, a significant additive interaction between KB and diabetes status was observed on the risk of death (P = .009), with 4.9% of deaths attributed to the interactive effects. CONCLUSIONS Our study underscored the variation in association patterns between KB and adverse outcomes according to diabetes status and suggested that KB could interact with diabetes status in an additive manner to increase the risk of mortality.
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Affiliation(s)
- Jiang Li
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Sun
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bowei Yu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingli Cai
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wenqi Shen
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bin Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiao Tan
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Department of Big Data in Health Science, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuyu Guo
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Cao X, Lua CZB, Li J, Shao W, Liu C, He D, Zhang J, Lin Y, Zhu Y, Liu Z. Association between factors in life course and physiological disorders among the middle-aged and older population in Zhoushan city of Zhejiang province. Zhejiang Da Xue Xue Bao Yi Xue Ban 2024:1-10. [PMID: 39238396 DOI: 10.3724/zdxbyxb-2024-0168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/07/2024]
Abstract
OBJECTIVES To analyze the associations between factors in life course and physiological disorders in the middle-aged and elderly population of Zhoushan city of Zhejiang province, and the mediating roles of lifestyle and mental health. METHODS A total of 1553 island residents aged ≥45 years were enrolled from the Zhejiang Metabolic Syndrome Cohort Zhoushan Liuheng Sub-cohort. The demographic information, life-course information, lifestyle, and mental health information of participants were documented, and blood samples of were collected. The status of aging was evaluated by physiological disorders calculation model developed by authors previously. The Shapley value decomposition method was used to assess the cumulative and relative contribution of multiple factors in life course to the aging. Principal component analysis and hierarchical cluster analysis were used to classify subgroups. General linear regression model was used to assess the associations between the life-course subgroups and physiological disorders. Five key factors associated with aging were finally identified. Logistic regression model, general linear regression model, and mediation analysis model were used to assess the complex associations between life-course subgroups, key factors, unhealthy lifestyle, mental health, and aging. RESULTS Shapley value decomposition method indicated that eight types of life-course factors explained 6.63% (SE=0.0008) of the individual physiological disorders variance, with the greatest relative contribution (2.78%) from adversity experiences in adulthood. The study participants were clustered into 4 subgroups, and subgroups experiencing more adversity in adulthood and having low educational attainment or experiencing more trauma and having poorer relationships in childhood had significantly higher levels of physiological disorders. Life-course subgroups and key factors (childhood trauma and health, adversity experience in adulthood, and lower education) were positively associated with unhealthy lifestyles (β=0.12-0.41, P<0.05). In addition, life-course subgroups and key factors (adversity experience in adulthood) were positively associated with psychological problems (OR=2.14-4.68, P<0.05). Unhealthy lifestyle scores showed a marginal significant association with physiological disorders (β=0.03, P=0.055). However, no significant association was found between psychological problems and physiological disorders (β=0.03, P=0.748). The results of the mediation analysis model suggested that unhealthy lifestyles partially mediated the associations between life-course subgroups, adversity experience in adulthood and physiological disorders. CONCLUSIONS Multiple life-course factors contribute about 6% of the variance in physiological disorders in the middle aged and elderly population of the study area; subgroups with adverse life course experiences have higher levels of aging; and the association may be partially mediated by unhealthy lifestyles.
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Affiliation(s)
- Xingqi Cao
- Center for Clinical Big Data and Analytics Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China.
- Zhejiang Provincial Key Laboratory of Intelligent Preventive Medicine, Hangzhou 310058, China.
| | - Cedric Zhang Bo Lua
- Center for Clinical Big Data and Analytics Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
- Zhejiang Provincial Key Laboratory of Intelligent Preventive Medicine, Hangzhou 310058, China
| | - Jia Li
- Center for Clinical Big Data and Analytics Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
- Zhejiang Provincial Key Laboratory of Intelligent Preventive Medicine, Hangzhou 310058, China
| | - Wei Shao
- Department of Endocrinology, Zhoushan Putuo District People's Hospital, Zhoushan 316100, China
| | - Chengguo Liu
- Department of Endocrinology, Zhoushan Putuo District People's Hospital, Zhoushan 316100, China
| | - Di He
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
- Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China
| | - Jingyun Zhang
- Center for Clinical Big Data and Analytics Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
- Zhejiang Provincial Key Laboratory of Intelligent Preventive Medicine, Hangzhou 310058, China
| | - Yongxing Lin
- Department of Intergrated Support, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Yimin Zhu
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
- Department of Respiratory Disease, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China
| | - Zuyun Liu
- Center for Clinical Big Data and Analytics Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China.
- Zhejiang Provincial Key Laboratory of Intelligent Preventive Medicine, Hangzhou 310058, China.
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Dye CK, Alschuler DM, Wu H, Duarte C, Monk C, Belsky DW, Lee S, O’Donnell K, Baccarelli AA, Scorza P. Maternal Adverse Childhood Experiences and Biological Aging During Pregnancy and in Newborns. JAMA Netw Open 2024; 7:e2427063. [PMID: 39120899 PMCID: PMC11316241 DOI: 10.1001/jamanetworkopen.2024.27063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 06/06/2024] [Indexed: 08/10/2024] Open
Abstract
Importance Adverse childhood experiences (ACEs), potentially traumatic experiences occurring before the age of 18 years, are associated with epigenetic aging later in life and may be transmitted across generations. Objective To test evidence of the transmission of biological embedding of life experience across generations by analyzing maternal ACEs and epigenetic clocks measured in mothers during pregnancy and in their children at birth. Design, Setting, and Participants For this cross-sectional study, data from the Accessible Resource for Integrated Epigenomic Studies (ARIES) substudy of the Avon Longitudinal Study of Parents and Children (ALSPAC) were analyzed. The ALSPAC study recruited 14 541 women who gave birth in the Avon Health District in the UK between April 1, 1991, and December 31, 1992. The ARIES substudy comprised 1018 mother-offspring dyads based on the availability of DNA samples profiled in 2014. Epigenetic age was estimated using DNA methylation-based epigenetic clocks (including Horvath, Hannum, GrimAge, PhenoAge, and DunedinPACE) in mothers during pregnancy and the Knight and Bohlin cord blood epigenetic clocks in newborns. Analyses were performed between October 1, 2022, and November 30, 2023. Exposures A composite measure of maternal ACEs was the primary exposure in both maternal and offspring models; as a secondary analysis, individual ACEs were measured separately. The Edinburgh Postnatal Depression Scale (EPDS) was used to investigate depression during pregnancy as an exposure. Main Outcomes and Measures Changes in epigenetic age acceleration (EAA) were investigated as the primary outcome in maternal models during pregnancy. Changes in epigenetic gestational age acceleration (GAA) were the primary outcome in offspring analyses. Linear regression analyses were used to determine the association between maternal ACEs and both outcomes. Results This study included 883 mother-child dyads. The mean (SD) maternal age at delivery was 29.8 (4.3) years. Pregnant women with higher ACE scores exhibited higher GrimAge EAA (β, 0.22 [95% CI, 0.12 to 0.33] years; P < .001). Maternal ACEs were not associated with GAA in newborns using P < .05 as a cutoff to determine statistical significance. Depression was associated with higher GrimAge EAA (β, 0.06 [95% CI, 0.02 to 0.10] years; P = .01) in mothers during pregnancy, but not in newborns, and did not mediate the association between ACEs and EAA. Conclusions and Relevance The findings of this study suggest that maternal ACEs may be associated with epigenetic aging later in life, including during pregnancy, supporting a role for maternal ACEs in offspring development and health later in life.
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Affiliation(s)
- Christian K. Dye
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | | | - Haotian Wu
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Cristiane Duarte
- Division of Behavioral Medicine, New York State Psychiatric Institute, New York
| | - Catherine Monk
- Department of Psychiatry, Columbia University, New York, New York
- Division of Behavioral Medicine, New York State Psychiatric Institute, New York
- Department of Obstetrics and Gynecology, Columbia University, New York, New York
| | - Daniel W. Belsky
- Department of Epidemiology, Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, New York
| | - Seonjoo Lee
- Department of Psychiatry, Columbia University, New York, New York
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York
| | - Kieran O’Donnell
- Yale Child Study Center, Yale School of Medicine, New Haven, Connecticut
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Pamela Scorza
- Department of Obstetrics and Gynecology, Columbia University, New York, New York
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10
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Liu Y, Li C. Hormone Therapy and Biological Aging in Postmenopausal Women. JAMA Netw Open 2024; 7:e2430839. [PMID: 39207753 PMCID: PMC11362863 DOI: 10.1001/jamanetworkopen.2024.30839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 07/05/2024] [Indexed: 09/04/2024] Open
Abstract
Importance Menopause is associated with biological aging, and hormone therapy (HT) is associated with health outcomes in postmenopausal women. Objective To evaluate the association between HT use and discrepancies between chronological and biological age in postmenopausal women as well as the potential modifying role of socioeconomic status (SES). Design, Setting, and Participants This population-based, retrospective cohort study included postmenopausal women registered in the UK Biobank. A baseline survey on HT use and biological aging biomarkers was conducted from March 2006 to October 2010. Data analyses were conducted in December 2023. Exposures Information regarding HT use, the age at starting HT, and HT duration was collected via a touchscreen questionnaire. SES was evaluated by education, family income, occupation, and the Townsend Deprivation Index. Main Outcomes and Measures Biological aging discrepancy was evaluated using validated phenotypic age, which was calculated using chronological age and 9 biomarkers measured at baseline. All-cause and cause-specific mortality were also assessed. Results Among the 117 763 postmenopausal women (mean [SD] age, 60.2 [5.4] years), 47 461 (40.3%) ever used HT. The mean phenotypic age was 52.1 (7.9) years. Ever use of HT was associated with a smaller biological aging discrepancy than never use of HT (β, -0.17 years; 95% CI, -0.23 to -0.10 years). This smaller aging discrepancy was more evident in those who started HT at age 55 years or older (β, -0.32 years; 95% CI, -0.48 to -0.15 years) and in those who used HT for 4 to 8 years (β, -0.25 years; 95% CI, -0.35 to -0.15 years). The association between HT and a smaller aging discrepancy was more evident in women with low SES, with a significant interaction observed for education (higher education: β, -0.08 years [95% CI, -0.17 to 0.01]; other education: β, -0.23 [95% CI, -0.32 to -0.14] years; P for interaction = .02). Phenotypic aging discrepancy mediated 12.7% (95% CI, 6.3% to 23.9%) of the association between HT and all-cause mortality and cause-specific mortality. Conclusions and Relevance In this study, postmenopausal women with historical HT use were biologically younger than those not receiving HT, with a more evident association observed in those with low SES. The biological aging discrepancy mediated the association between HT and decreased mortality. Promoting HT in postmenopausal women could be important for healthy aging.
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Affiliation(s)
- Yufan Liu
- Capital Medical University, Beijing, China
| | - Chenglong Li
- National Institute of Health Data Science at Peking University, Beijing, China
- Institute of Medical Technology, Health Science Center of Peking University, Beijing, China
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11
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Hu W, Zhang WB, Liu BP, Jia CX. Associations and Mediating Pathways Between Childhood Adversity and Risk of Dementia: A Cohort Study in the UK Biobank. J Gerontol A Biol Sci Med Sci 2024; 79:glae121. [PMID: 38721896 DOI: 10.1093/gerona/glae121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND While childhood adversity (CA) is known to be associated with multiple adverse outcomes, its link with dementia is an area with limited exploration and inconsistent agreement. The study aimed to examine the longitudinal associations of CA with incident all-cause dementia and to quantify the potential mediating pathways. METHODS Data from the UK Biobank. CA, encompassing neglect and abuse, was evaluated retrospectively by an online mental health questionnaire. Physical performance, psychological factors, lifestyles, and biological indicators assessed at baseline were considered potential mediators. Incident all-cause dementia was defined by International Classification of Diseases, Tenth Revision codes obtained through self-reported medical conditions, primary care, hospital admission, and death registrations. Cox proportional hazard models were applied to estimate the longitudinal associations. Mediation analyses were conducted on potential mediators to examine their contribution. RESULTS This cohort study comprised 150 152 nondemented individuals (mean [SD] age, 55.9 [7.7] years) at baseline (2006-2010). Compared to individuals who did not experience CA, those exposed to any CA exhibited a 30.0% higher risk of dementia (hazard ratio = 1.300, 95% confidence interval [CI]: 1.129-1.496). Each additional CA was associated with a 15.5% (95% CI: 8.8%-22.5%, pfor trend < .001) increased dementia risks. Depression, smoking, and low grip strength explained 8.7%, 2.4%, and 0.9% of the associations, respectively. Biomarkers involving inflammation, erythrocytes, liver, and kidney function mediated the associations by 0.6%-1.4%. CONCLUSIONS The study revealed the detrimental effects of CA on dementia and identified some potential mediators, namely depression, smoking, low grip strength, and several targeted biomarkers. In addition to calling more attention to CA, the findings underscore the importance of interventions targeting modifiable mediators in preventing dementia.
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Affiliation(s)
- Wei Hu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Wei-Bo Zhang
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Bao-Peng Liu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Cun-Xian Jia
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
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12
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Zhang Q, Chen G, Feng Y, Li M, Liu X, Ma L, Zhang J, Wang S. Association of chrononutrition patterns with biological aging: evidence from a nationally representative cross-sectional study. Food Funct 2024; 15:7936-7950. [PMID: 38980112 DOI: 10.1039/d4fo00147h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Previous studies mostly focused on the benefits of caloric restriction and fasting on longevity. However, whether the timing and frequency of eating affect aging remains unclear. Here, we investigated the associations between chrononutrition patterns and biological aging, and explored whether and to what extent dietary inflammation mediated this association. 16 531 adults aged 20 to 84 years from the National Health and Nutrition Examination Survey were collected. Chrononutrition patterns were determined with two 24-hour dietary recalls. Phenotypic age was calculated to reflect the biological aging status. The dietary inflammatory index (DII) was used to assess the dietary inflammation. After adjustment of the survey weight and multiple covariates including total energy intake, participants in the third tertile of the time of the first meal (mean 10 : 26) exhibited more advanced biological age (β 0.64; 95% CI, 0.26-1.00) and a higher incidence of accelerated aging (odds ratio (OR) 1.25; 95% CI, 1.06-1.47) compared to those of the first tertile (mean 6 : 14). Higher eating frequency was associated with delayed biological aging in both multivariable linear (β -0.31; 95% CI, -0.44 to -0.19) and logistic regression model (OR 0.90; 95% CI, 0.85-0.95). Furthermore, we found that DII rather than metabolic factors mediated the inverse association between eating frequency and biological aging (mediation proportion 24.67%; 95% CI, 19.83%-32.00%). Our findings demonstrated the association between chrononutrition patterns and biological aging among the US general population and the potential role of dietary inflammation in this association, suggesting that modifying chrononutrition patterns may be a practical and cost-effective strategy for combating aging.
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Affiliation(s)
- Qianyu Zhang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, Hubei, 430030, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, Hubei, 430030, China
| | - Gang Chen
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, Hubei, 430030, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, Hubei, 430030, China
| | - Yanzhi Feng
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, Hubei, 430030, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, Hubei, 430030, China
| | - Mo Li
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, Hubei, 430030, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, Hubei, 430030, China
| | - Xingyu Liu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, Hubei, 430030, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, Hubei, 430030, China
| | - Lanfang Ma
- Department of Obstetrics and Gynecology, Guiyang Maternity and Child Health Care Hospital, Guizhou 550003, People's Republic of China
| | - Jinjin Zhang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, Hubei, 430030, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, Hubei, 430030, China
| | - Shixuan Wang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, Hubei, 430030, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, Hubei, 430030, China
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Meier M, Kantelhardt S, Gurri L, Stadler C, Schmid M, Clemens V, O’Donovan A, Boonmann C, Bürgin D, Unternaehrer E. Childhood trauma is linked to epigenetic age deceleration in young adults with previous youth residential care placements. Eur J Psychotraumatol 2024; 15:2379144. [PMID: 39051592 PMCID: PMC11275517 DOI: 10.1080/20008066.2024.2379144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 06/28/2024] [Accepted: 07/01/2024] [Indexed: 07/27/2024] Open
Abstract
Background: Early adversity increases the risk for mental and physical disorders as well as premature death. Epigenetic processes, and altered epigenetic aging in particular, might mediate these effects. While the literature that examined links between early adversity and epigenetic aging is growing, results have been heterogeneous.Objective: In the current work, we explored the link between early adversity and epigenetic aging in a sample of formerly out-of-home placed young adults.Method: A total of N = 117 young adults (32% women, age mean = 26.3 years, SD = 3.6 years) with previous youth residential care placements completed the Childhood Trauma Questionnaire (CTQ) and the Life Events Checklist (LEC-R) and provided blood samples for the analysis of DNA methylation using the Illumina Infinium MethylationEPIC BeadChip Microarray. Epigenetic age was estimated using Hovarth's and Hannum's epigenetic clocks. Furthermore, Hovarth's and Hannum's epigenetic age residuals were calculated as a proxy of epigenetic aging by regressing epigenetic age on chronological age. The statistical analysis plan was preregistered (https://osf.io/b9ev8).Results: Childhood trauma (CTQ) was negatively associated with Hannum's epigenetic age residuals, β = -.23, p = .004 when controlling for sex, BMI, smoking status and proportional white blood cell type estimates. This association was driven by experiences of physical neglect, β = -.25, p = .001. Lifetime trauma exposure (LEC-R) was not a significant predictor of epigenetic age residuals.Conclusion: Childhood trauma, and physical neglect in particular, was associated with decelerated epigenetic aging in our sample. More studies focusing on formerly institutionalized at-risk populations are needed to better understand which factors affect stress-related adaptations following traumatic experiences.
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Affiliation(s)
- Maria Meier
- Child and Adolescent Psychiatric Research Department, University Psychiatric Clinics Basel (UPK), University of Basel, Basel, Switzerland
- Department of Psychology, University of Konstanz, Konstanz, Germany
| | - Sina Kantelhardt
- Department of Psychology, Friedrich-Schiller-University of Jena, Jena, Germany
| | - Laura Gurri
- Child and Adolescent Psychiatric Research Department, University Psychiatric Clinics Basel (UPK), University of Basel, Basel, Switzerland
| | - Christina Stadler
- Child and Adolescent Psychiatric Research Department, University Psychiatric Clinics Basel (UPK), University of Basel, Basel, Switzerland
| | - Marc Schmid
- Child and Adolescent Psychiatric Research Department, University Psychiatric Clinics Basel (UPK), University of Basel, Basel, Switzerland
| | - Vera Clemens
- Department of Child and Adolescent Psychiatry/Psychotherapy, University of Ulm, Ulm, Germany
| | - Aoife O’Donovan
- Department of Psychiatry & Behavioral Sciences, University of California, San Francisco, CA, USA
- Mental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, CA, USA
| | - Cyril Boonmann
- Child and Adolescent Psychiatric Research Department, University Psychiatric Clinics Basel (UPK), University of Basel, Basel, Switzerland
- Department of Child and Adolescent Psychiatry (LUMC Curium), Leiden University Medical Center, Leiden, The Netherlands
| | - David Bürgin
- Child and Adolescent Psychiatric Research Department, University Psychiatric Clinics Basel (UPK), University of Basel, Basel, Switzerland
| | - Eva Unternaehrer
- Child and Adolescent Psychiatric Research Department, University Psychiatric Clinics Basel (UPK), University of Basel, Basel, Switzerland
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14
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Tao Y, Wang H, Luo J, Zhang H, Zhang W, Yu M, Ji S, Peng S, Zhang X. The Association between Adverse Childhood Experiences and Frailty: A Systematic Review. J Am Med Dir Assoc 2024; 25:105042. [PMID: 38796164 DOI: 10.1016/j.jamda.2024.105042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 04/10/2024] [Accepted: 04/14/2024] [Indexed: 05/28/2024]
Abstract
OBJECTIVE Based on life-course theory, adverse childhood experiences (ACEs) have emerged as risk factors for health in later life. This study aimed to explore the association between ACEs and frailty. DESIGN Systematic review. SETTING AND PARTICIPANTS Frail older adults who have experienced ACEs. METHODS We searched 7 databases: PubMed, Cochrane Library, Embase, Web of Science, Scopus, PsycINFO, and China National Knowledge Infrastructure (CNKI). The last searched date was October 27, 2023. Included studies should have investigated the association between exposure to at least 1 ACE and frailty. Two researchers independently assessed the risk of bias in the included studies using the Newcastle-Ottawa Scale (NOS) and an adapted version of the NOS scale and also extracted relevant characteristics and outcomes of the included studies. RESULTS A total of 14 studies were finally included. Consistent associations with increased risk of frailty were only shown in studies that assessed family members with mental illness, low neighborhood quality, emotional abuse, sexual abuse, and combinations of ACEs. In addition, women exposed to ACEs were more likely to be at risk for frailty than men, and greater numbers or types of exposure to ACEs were associated with higher odds of frailty. The results of the quality assessment showed a moderate risk of bias in half of the studies. CONCLUSIONS AND IMPLICATIONS This study summarizes for the first time the evidence for an association between ACEs and frailty. Considered collectively, increased attention to ACEs may be one way to prevent frailty, and unhealthy lifestyles resulting from ACEs may serve as a breakthrough in developing interventions.
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Affiliation(s)
- Yanmin Tao
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Hongyan Wang
- Sichuan Nursing Vocational College, Chengdu, Sichuan, China
| | - Jingsong Luo
- Jockey Club School of Public Health and Primary Care School, The Chinese University of Hong Kong, Hong Kong
| | - Hong Zhang
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Wen Zhang
- Sichuan Nursing Vocational College, Chengdu, Sichuan, China
| | - Meng Yu
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Shuyang Ji
- School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Sihan Peng
- Affiliated hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
| | - Xiangeng Zhang
- Sichuan Nursing Vocational College, Chengdu, Sichuan, China.
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15
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Ding K, Lei M. From the early scars to the vicissitudes of old age: A bibliometric analysis revealing childhood adversity and aging. Psychoneuroendocrinology 2024; 165:107038. [PMID: 38609808 DOI: 10.1016/j.psyneuen.2024.107038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 03/28/2024] [Accepted: 03/29/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND Adversity suffered in childhood may profoundly affect aging over the subsequent life cycle. The field of childhood adversity and aging has amassed a certain number of publications, but there are no bibliometric studies in this field. METHODS Publications in 10 years on childhood adversity and aging were searched in the Web of Science Core Collection. Bibliometric tools were used to analyze and visualize these publications by country, institution, journal, author, keyword, research area, and co-citation. RESULTS Four hundred thirty-five publications were retrieved from 2014 to September 21, 2023, with a 4.9% annual growth rate. The United States (251), University of California, San Francisco (59), Elissa S. Epel (11), and Psychoneuroendocrinology (29) were the countries, institutions, authors, and journals contributing the highest number of publications in this field, respectively. "Early-life stress" (87), "depression" (82), "childhood trauma" (69), and "aging" (60) were the keywords that appeared more frequently. CONCLUSIONS This is the first bibliometric study on childhood adversity and aging. The United States dominates the field regarding publication numbers, research institutions, and researchers. Publications in this field are interdisciplinary, covering several critical subject areas and having far-reaching impacts, with gerontology, neurosciences, psychology, and psychiatry at the core.
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Affiliation(s)
- Kaixi Ding
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China
| | - Ming Lei
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu 610075, China.
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16
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Yu J, Pu F, Yang G, Hao M, Zhang H, Zhang J, Cao X, Zhu L, Wan Y, Wang X, Liu Z. Sex-Specific Association Between Childhood Adversity and Accelerated Biological Aging. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2309346. [PMID: 38704685 PMCID: PMC11234451 DOI: 10.1002/advs.202309346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 03/19/2024] [Indexed: 05/07/2024]
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.
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Affiliation(s)
- Jie Yu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Fan Pu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Gan Yang
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Meng Hao
- Human Phenome Institute and State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Fudan University, Shanghai, 200433, China
| | - Hui Zhang
- Human Phenome Institute and State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Fudan University, Shanghai, 200433, China
- National Clinical Research Center for Ageing and Medicine, Huashan Hospital, Fudan University, Shanghai, 200433, China
| | - Jingyun Zhang
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Xingqi Cao
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Lijun Zhu
- Zhejiang Provincial Key Laboratory for Diagnosis and Treatment of Aging and Physic-chemical Injury Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Yuhui Wan
- MOE Key Laboratory of Population Health across Life Cycle/Anhui Provincial Key Laboratory of Population Health and Aristogenics, and Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, 230032, China
| | - Xiaofeng Wang
- Human Phenome Institute and State Key Laboratory of Genetic Engineering, Zhangjiang Fudan International Innovation Center, School of Life Sciences, Fudan University, Shanghai, 200433, China
- National Clinical Research Center for Ageing and Medicine, Huashan Hospital, Fudan University, Shanghai, 200433, China
| | - Zuyun Liu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, China
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17
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Pu F, Chen W, Li C, Fu J, Gao W, Ma C, Cao X, Zhang L, Hao M, Zhou J, Huang R, Ma Y, Hu K, Liu Z. Heterogeneous associations of multiplexed environmental factors and multidimensional aging metrics. Nat Commun 2024; 15:4921. [PMID: 38858361 PMCID: PMC11164970 DOI: 10.1038/s41467-024-49283-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 05/31/2024] [Indexed: 06/12/2024] Open
Abstract
Complicated associations between multiplexed environmental factors and aging are poorly understood. We manipulated aging using multidimensional metrics such as phenotypic age, brain age, and brain volumes in the UK Biobank. Weighted quantile sum regression was used to examine the relative individual contributions of multiplexed environmental factors to aging, and self-organizing maps (SOMs) were used to examine joint effects. Air pollution presented a relatively large contribution in most cases. We also found fair heterogeneities in which the same environmental factor contributed inconsistently to different aging metrics. Particulate matter contributed the most to variance in aging, while noise and green space showed considerable contribution to brain volumes. SOM identified five subpopulations with distinct environmental exposure patterns and the air pollution subpopulation had the worst aging status. This study reveals the heterogeneous associations of multiplexed environmental factors with multidimensional aging metrics and serves as a proof of concept when analyzing multifactors and multiple outcomes.
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Affiliation(s)
- Fan Pu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Weiran Chen
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Chenxi Li
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Jingqiao Fu
- Ocean College, Zhejiang University, Zhoushan, 316021, Zhejiang, China
| | - Weijing Gao
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Chao Ma
- School of Economics and Management, Southeast University, Nanjing, 211189, Jiangsu, China
| | - Xingqi Cao
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Lingzhi Zhang
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Meng Hao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, School of Life Sciences and Human Phenome Institute, Fudan University, Shanghai, 200433, China
| | - Jin Zhou
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Rong Huang
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China
| | - Yanan Ma
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, Liaoning, China.
| | - Kejia Hu
- Department of Big Data in Health Science School of Public Health, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China.
| | - Zuyun Liu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China.
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18
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Higuera-Gómez A, de Cuevillas B, Ribot-Rodríguez R, San-Cristobal R, de la O V, Dos Santos K, Cuevas-Sierra A, Martínez JA. Reciprocal and Differential Influences of Mediterranean Diet and Physical Activity on Adiposity in a Cohort of Young and Older than 40 Years Adults. Nutrients 2024; 16:1777. [PMID: 38892710 PMCID: PMC11175043 DOI: 10.3390/nu16111777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 05/31/2024] [Accepted: 06/02/2024] [Indexed: 06/21/2024] Open
Abstract
Translational research has documented the conjoint beneficial relationships between dietary and physical activity habits concerning weight maintenance. However, the precise interplay between diet and exercise impacting body composition remains unclear, challenging personalized interventions. This study aimed to explore potential interactions and effect modifications of these factors affecting the body mass index (BMI) within an online adult cohort. Data from 11,883 NUTRiMDEA cohort participants were analyzed in this cross-sectional study, categorizing individuals by age, sex, and BMI using linear regression models to assess the interactions between lifestyle factors and adiposity. Significant differences emerged in anthropometry, lifestyle, and health-related quality of life (HRQoL) across categories. The combined effect of diet and physical activity had a greater impact on BMI than physical activity or Mediterranean diet adherence alone, with lower BMI as physical activity levels increased (β: -0.5) and adherence to the Mediterranean diet decreased, where a modification effect between them was identified (β: -0.28). Participants with lower Mediterranean diet adherence displayed superior BMI when physical activity was low, but when activity levels were higher, their BMI aligned with those with healthier dietary habits. An interaction link between lifestyle factors and BMI was found, showing the differential effects of the Mediterranean diet and physical activity combination concerning adiposity.
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Affiliation(s)
- Andrea Higuera-Gómez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
| | - Begoña de Cuevillas
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
| | - Rosa Ribot-Rodríguez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
| | - Rodrigo San-Cristobal
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels, l’Université Laval (INAF), Québec, QC G1V 0A6, Canada;
- School of Nutrition, Université Laval, Quebec, QC G1V 0A6, Canada
| | - Víctor de la O
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
- Faculty of Health Sciences, International University of La Rioja (UNIR), 26006 Logroño, Spain
| | - Karina Dos Santos
- Josué de Castro Institute of Nutrition, Federal University of Rio de Janeiro, 373, Carlos Chagas Filho Ave, University City, Rio de Janeiro 21941-590, RJ, Brazil;
- Public Health Nutrition Department, Federal University of the State of Rio de Janeiro, 296, Pasteur Ave, Rio de Janeiro 22290-240, RJ, Brazil
| | - Amanda Cuevas-Sierra
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
| | - J. Alfredo Martínez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute, Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain; (A.H.-G.); (R.R.-R.); (V.d.l.O.); (A.C.-S.); (J.A.M.)
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
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19
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Lian J, Kiely KM, Callaghan BL, Anstey KJ. Childhood adversity is associated with anxiety and depression in older adults: A cumulative risk and latent class analysis. J Affect Disord 2024; 354:181-190. [PMID: 38484890 DOI: 10.1016/j.jad.2024.03.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 02/09/2024] [Accepted: 03/07/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND The long-lasting influence of childhood adversity on mental health is well documented; however empirical research examining how this association extends into older adults is limited. This study operationalises adversity using cumulative risk and latent class analysis (LCA) models to assess how adversity exposure and typologies may predict anxiety and depression in older adults. METHODS Data came from the Personality and Total Health (PATH) Through Life Project (N = 2551, age 60-66). Participants retrospectively reported their childhood experiences of domestic adversity on a 17-item scale. Mental health was measured using four validated questionnaires of depression and anxiety. RESULTS Linear and generalised additive models (GAM) indicated a dose-response relationship, where a greater number of cumulative adversities were associated with poorer scores on all four mental health measures. LCA identified a four-class solution; with high adversity and high parental dysfunction being associated with poorer mental health outcomes while moderate parental dysfunction and low adversity groups scored at healthy levels. Women reported higher overall anxiety than men, but no notable interactions between ACEs and gender were observed. Patterns revealed by LCA were similar to patterns shown by the cumulative risk model. LIMITATIONS There is a large time gap from childhood to assessment, making our study susceptible to recall bias. Also, our findings were based on cross-sectional data, limiting causal inferences. CONCLUSION Childhood adversity had independent and additive contributions to depression and anxiety in older adulthood, and both cumulative risk and person-centred approaches captured this relationship.
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Affiliation(s)
- James Lian
- School of Psychology, University of New South Wales, Kensington, NSW, Australia; Neuroscience Research Australia, Randwick, NSW, Australia; Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
| | - Kim M Kiely
- School of Psychology, University of New South Wales, Kensington, NSW, Australia; Neuroscience Research Australia, Randwick, NSW, Australia
| | - Bridget L Callaghan
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kaarin J Anstey
- School of Psychology, University of New South Wales, Kensington, NSW, Australia; Neuroscience Research Australia, Randwick, NSW, Australia
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20
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Liang R, Fan L, Lai X, Shi D, Wang H, Shi W, Liu W, Yu L, Song J, Wang B. Air pollution exposure, accelerated biological aging, and increased thyroid dysfunction risk: Evidence from a nationwide prospective study. ENVIRONMENT INTERNATIONAL 2024; 188:108773. [PMID: 38810493 DOI: 10.1016/j.envint.2024.108773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 04/30/2024] [Accepted: 05/23/2024] [Indexed: 05/31/2024]
Abstract
BACKGROUND Long-term air pollution exposure is a major health concern, yet its associations with thyroid dysfunction (hyperthyroidism and hypothyroidism) and biological aging remain unclear. We aimed to determine the association of long-term air pollution exposure with thyroid dysfunction and to investigate the potential roles of biological aging. METHODS A prospective cohort study was conducted on 432,340 participants with available data on air pollutants including particulate matter (PM2.5, PM10, and PM2.5-10), nitrogen dioxide (NO2), and nitric oxide (NO) from the UK Biobank. An air pollution score was calculated using principal component analysis to reflect joint exposure to these pollutants. Biological aging was assessed using the Klemera-Doubal method biological age and the phenotypic age algorithms. The associations of individual and joint air pollutants with thyroid dysfunction were estimated using the Cox proportional hazards regression model. The roles of biological aging were explored using interaction and mediation analyses. RESULTS During a median follow-up of 12.41 years, 1,721 (0.40 %) and 9,296 (2.15 %) participants developed hyperthyroidism and hypothyroidism, respectively. All air pollutants were observed to be significantly associated with an increased risk of incident hypothyroidism, while PM2.5, PM10, and NO2 were observed to be significantly associated with an increased risk of incident hyperthyroidism. The hazard ratios (HRs) for hyperthyroidism and hypothyroidism were 1.15 (95 % confidence interval: 1.00-1.32) and 1.15 (1.08-1.22) for individuals in the highest quartile compared with those in the lowest quartile of air pollution score, respectively. Additionally, we noticed that individuals with higher pollutant levels and biologically older generally had a higher risk of incident thyroid dysfunction. Moreover, accelerated biological aging partially mediated 1.9 %-9.4 % of air pollution-associated thyroid dysfunction. CONCLUSIONS Despite the possible underestimation of incident thyroid dysfunction, long-term air pollution exposure may increase the risk of incident thyroid dysfunction, particularly in biologically older participants, with biological aging potentially involved in the mechanisms.
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Affiliation(s)
- Ruyi Liang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Lieyang Fan
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xuefeng Lai
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Da Shi
- Agricultural, Food and Nutritional Science, Faculty of Agricultural, Life and Environmental Sciences, University of Alberta, Edmonton, Alberta T6G 2P5, Canada
| | - Hao Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Wendi Shi
- Lucy Cavendish College, University of Cambridge, Cambridge CB3 0BU, UK
| | - Wei Liu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Linling Yu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Jiahao Song
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Bin Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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21
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Zhao C, Wang Y, Jia X, Fan J, Wang N, Yang Y, Shi X. Associations of Dietary Diversity Trajectories with Frailty among Chinese Older Adults: A Latent Class Trajectory Analysis Based on a CLHLS Cohort. Nutrients 2024; 16:1445. [PMID: 38794683 PMCID: PMC11124478 DOI: 10.3390/nu16101445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 05/03/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND High dietary diversity has been found to be associated with frailty. However, the trajectory of dietary diversity intake in relation to frailty is unclear. METHODS Using the latent class trajectory modeling approach, we identified distinctive dietary variety trajectory groups among 2017 participants based on the Chinese Longitudinal Healthy Longevity Survey acquired at four time points within a 10-year period. Frailty status was assessed using a frailty index comprising 37 health deficits. Dietary diversity was quantified using the dietary variety score (DVS), based on food category consumption frequency. Logistic regression analyses were employed to explore the association between DVS change trajectories and frailty. RESULTS This study identified two distinct DVS trajectories: "Moderate-Slow decline-Slow growth", encompassing 810 (40.16%) individuals, and "Moderate-Slow growth-Accelerated decline", including 1207 (59.84%) individuals. After adjusting for covariates, the odds ratio for DVS in the "Moderate-Slow decline-Slow growth" group was 1.326 (95% confidence interval: 1.075-1.636) compared to the "Moderate-Slow growth-Accelerated decline" group. The "Moderate-Slow decline-Slow growth" trajectory continued to decrease and was maintained at a low level in the early stages of aging. CONCLUSION Sustaining a high dietary diversity trajectory over time, particularly in the early stages of aging, could potentially decrease the risk of frailty among older Chinese adults.
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Lua CZB, Gao Y, Li J, Cao X, Lyu X, Tu Y, Jin S, Liu Z. Influencing Factors of Healthy Aging Risk Assessed Using Biomarkers: A Life Course Perspective. China CDC Wkly 2024; 6:219-224. [PMID: 38532748 PMCID: PMC10961214 DOI: 10.46234/ccdcw2024.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 01/23/2024] [Indexed: 03/28/2024] Open
Abstract
Assessing individual risks of healthy aging using biomarkers and identifying associated factors have become important areas of research. In this study, we conducted a literature review of relevant publications between 2018 and 2023 in both Chinese and English databases. Previous studies have predominantly used single biomarkers, such as C-reactive protein, or focused on specific life course stages and factors such as socioeconomic status, mental health, educational levels, and unhealthy lifestyles. By summarizing the progress in this field, our study provides valuable insights and future directions for promoting healthy aging from a life course perspective.
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Affiliation(s)
- Cedric Zhang Bo Lua
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou City, Zhejiang Province, China
| | - Yajie Gao
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou City, Zhejiang Province, China
| | - Jinming Li
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou City, Zhejiang Province, China
| | - Xingqi Cao
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou City, Zhejiang Province, China
| | - Xinwei Lyu
- Institute of Epidemiology and Health Care, University College London, London, UK
| | - Yinuo Tu
- College of Chemical and Biological Engineering, Zhejiang University, Hangzhou City, Zhejiang Province, China
| | - Shuyi Jin
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou City, Zhejiang Province, China
| | - Zuyun Liu
- Center for Clinical Big Data and Analytics of the Second Affiliated Hospital, and Department of Big Data in Health Science School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou City, Zhejiang Province, China
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23
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Cao B, Xue Y, Liu D. The association between methylmalonic acid, a biomarker of mitochondria dysfunction, and phenotypic age acceleration: A population-based study. Arch Gerontol Geriatr 2024; 117:105176. [PMID: 37713936 DOI: 10.1016/j.archger.2023.105176] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 07/16/2023] [Accepted: 08/30/2023] [Indexed: 09/17/2023]
Abstract
Phenotypic age acceleration (PAA) is a sensitive marker of biological aging. Circulating methylmalonic acid (MMA) is a novel biomarker of mitochondrial dysfunction and has been associated with age-related disorders. Our study aimed to investigate to what extent circulating MMA was associated with PAA, and whether the association was independent of vitamin B12 status and renal function in the general population. We analyzed cross-sectional data from 13,023 participants across a wide age range (mean age: 38.9 years, range: 12 - 85 years, 51.1% women) from the US National Health and Nutrition Examination Survey (NHANES). PAA was calculated based on the published algorithm. Linear regression models were performed to assess the association between circulating MAA and PAA. Only 31% of the variation in MMA levels was explained by age, sex, race/ethnicity, social economic status, vitamin B12 status, and renal function. Per unit increase in circulating MAA (1.0 nmol/L) was associated with 1.59 years increase in PAA (β = 1.59, 95% CI: 1.17, 2.00, p < 0.001) after adjusting for multiple confounders. Importantly, PAA increased with circulating MMA levels independent of vitamin B12, creatine, and homocysteine levels. The association was more pronounced in subgroups of age ≥ 65 years, women, underweight, vitamin B12 < 400 μmol/L, and homocysteine ≥ 10 μmol/L. The association was much stronger among participants with cardiovascular diseases (CVDs) than without CVDs. In conclusion, our current population-based study showed that mitochondria-derived circulating MMA was associated with increased phenotypic age acceleration in the general population.
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Affiliation(s)
- Bing Cao
- School of Psychology and Key Laboratory of Cognition and Personality (Ministry of Education), Southwest University, Chongqing, 400715, China
| | - Yu Xue
- Department of Clinical Nutrition, West China Hospital, Sichuan University, No.37 Guoxue Lane, Chengdu, Sichuan, China
| | - Dan Liu
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
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24
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Sciacchitano S, Carola V, Nicolais G, Sciacchitano S, Napoli C, Mancini R, Rocco M, Coluzzi F. To Be Frail or Not to Be Frail: This Is the Question-A Critical Narrative Review of Frailty. J Clin Med 2024; 13:721. [PMID: 38337415 PMCID: PMC10856357 DOI: 10.3390/jcm13030721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/07/2024] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
Many factors have contributed to rendering frailty an emerging, relevant, and very popular concept. First, many pandemics that have affected humanity in history, including COVID-19, most recently, have had more severe effects on frail people compared to non-frail ones. Second, the increase in human life expectancy observed in many developed countries, including Italy has led to a rise in the percentage of the older population that is more likely to be frail, which is why frailty is much a more common concern among geriatricians compared to other the various health-care professionals. Third, the stratification of people according to the occurrence and the degree of frailty allows healthcare decision makers to adequately plan for the allocation of available human professional and economic resources. Since frailty is considered to be fully preventable, there are relevant consequences in terms of potential benefits both in terms of the clinical outcome and healthcare costs. Frailty is becoming a popular, pervasive, and almost omnipresent concept in many different contexts, including clinical medicine, physical health, lifestyle behavior, mental health, health policy, and socio-economic planning sciences. The emergence of the new "science of frailty" has been recently acknowledged. However, there is still debate on the exact definition of frailty, the pathogenic mechanisms involved, the most appropriate method to assess frailty, and consequently, who should be considered frail. This narrative review aims to analyze frailty from many different aspects and points of view, with a special focus on the proposed pathogenic mechanisms, the various factors that have been considered in the assessment of frailty, and the emerging role of biomarkers in the early recognition of frailty, particularly on the role of mitochondria. According to the extensive literature on this topic, it is clear that frailty is a very complex syndrome, involving many different domains and affecting multiple physiological systems. Therefore, its management should be directed towards a comprehensive and multifaceted holistic approach and a personalized intervention strategy to slow down its progression or even to completely reverse the course of this condition.
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Affiliation(s)
- Salvatore Sciacchitano
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, 00189 Rome, Italy;
- Unit of Anaesthesia, Intensive Care and Pain Medicine, Sant’Andrea University Hospital, 00189 Rome, Italy; (M.R.); (F.C.)
- Department of Life Sciences, Health and Health Professions, Link Campus University, 00165 Rome, Italy
| | - Valeria Carola
- Department of Dynamic and Clinical Psychology and Health Studies, Sapienza University of Rome, 00189 Rome, Italy; (V.C.); (G.N.)
| | - Giampaolo Nicolais
- Department of Dynamic and Clinical Psychology and Health Studies, Sapienza University of Rome, 00189 Rome, Italy; (V.C.); (G.N.)
| | - Simona Sciacchitano
- Department of Psychiatry, La Princesa University Hospital, 28006 Madrid, Spain;
| | - Christian Napoli
- Department of Surgical and Medical Science and Translational Medicine, Sapienza University of Rome, 00189 Rome, Italy;
| | - Rita Mancini
- Department of Clinical and Molecular Medicine, Sapienza University of Rome, 00189 Rome, Italy;
| | - Monica Rocco
- Unit of Anaesthesia, Intensive Care and Pain Medicine, Sant’Andrea University Hospital, 00189 Rome, Italy; (M.R.); (F.C.)
- Department of Surgical and Medical Science and Translational Medicine, Sapienza University of Rome, 00189 Rome, Italy;
| | - Flaminia Coluzzi
- Unit of Anaesthesia, Intensive Care and Pain Medicine, Sant’Andrea University Hospital, 00189 Rome, Italy; (M.R.); (F.C.)
- Department Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Polo Pontino, 04100 Latina, Italy
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Li K, Wu J, Zhou Q, Zhao J, Li Y, Yang M, Yang Y, Hu Y, Xu J, Zhao M, Xu Q. The mediating role of accelerated biological aging in the association between blood metals and cognitive function. JOURNAL OF HAZARDOUS MATERIALS 2024; 462:132779. [PMID: 37879277 DOI: 10.1016/j.jhazmat.2023.132779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 09/28/2023] [Accepted: 10/12/2023] [Indexed: 10/27/2023]
Abstract
Aging is a key risk factor in cognitive diseases. Recently, metal exposures were found associated with both biological aging and cognitive function. Here, we aim to evaluate the associations of blood metals with cognitive function and the mediated effect of biological aging. Fourteen metals were detected and biological age was calculated through Klemera and Doubal method among 514 adults in Beijing, China. The generalized linear models indicated that the copper (Cu), molybdenum (Mo), and strontium (Sr) were positively associated with biological aging [βCu (95% CI): 12.76 (9.26, 16.27); βMo (95% CI): 1.50 (0.15, 2.85)], and βSr (95% CI): 1.86 (0.68, 3.03)], while vanadium (V) was inversely related to biological aging [βV (95% CI): -0.76 (-1.48, -0.05)]. Subsequently, Cu, lead (Pb), selenium (Se), and biological aging were associated with cognitive function and further mediation analyses confirmed that biological aging partially mediated (33.98%, P = 0.019) the association of Cu and cognitive function. Additionally, we constructed a lifestyle index that implied the modifiable healthy lifestyle could slow aging to attenuate the detrimental effect of metals on cognition. Our findings provide insights into the potential pathways linking multiple metals exposure to aging and cognition and underscore the importance of adopting healthy lifestyles.
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Affiliation(s)
- Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China.
| | - Jingtao Wu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China.
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Ming Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yisen Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Yaoyu Hu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100005, China.
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26
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Zhang K, Wang Y, Sun Y, Gao L, Lu Y, Wang N. Self-reported childhood adversity, unhealthy lifestyle and risk of new-onset chronic kidney disease in later life: A prospective cohort study. Soc Sci Med 2024; 341:116510. [PMID: 38159486 DOI: 10.1016/j.socscimed.2023.116510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/03/2023] [Accepted: 12/11/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND The prospective relation of childhood adversity with the risk of chronic kidney disease (CKD) remains unclear. We aimed to investigate the association of childhood adversity with new-onset CKD and examine the potential modifications by unhealthy lifestyle on this association. METHODS A total of 115,453 adults without prior CKD at baseline were included from UK Biobank (2006-2010). Childhood adversity was retrospectively evaluated through online Childhood Trauma Screener in 2016. Six common lifestyle factors including smoking, body mass index, sleep, diet, physical activity and alcohol consumption, were combined into an unhealthy lifestyle score. New-onset CKD was the primary outcome. RESULT The average age of participants in the study was 55.3 (SD, 7.7) years, and 39.3% of them were male. During a median follow-up duration of 14.1 years, 1905 participants developed new-onset CKD. Childhood adversity was significantly positively related with the risk of new-onset CKD in dose-response pattern. Each additional type of childhood adversity was associated with a 12% increment in the risk of developing CKD (adjusted hazard ratio (HR)1.12; 95% CI 1.08, 1.16). Among participants with high unhealthy lifestyle score, those with 4-5 types of childhood adversity increased the 1.73-fold risk of incident CKD (95% CI 1.17, 2.54) compared with those free of any childhood adversity. However, no statistically significant interaction was observed between unhealthy lifestyle and childhood adversity for new-onset CKD (P interaction = 0.734). CONCLUSIONS Childhood adversity was significantly associated with an increased risk of new-onset CKD in a dose-response pattern regardless of unhealthy lifestyle.
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Affiliation(s)
- Kun Zhang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Yuying Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Ying Sun
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China
| | - Ling Gao
- Scientific Center, Shandong Provincial Hospital Affiliated to Shandong University, 250021, Jinan, Shandong, China
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China.
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, China.
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Martinez RAM, Howard AG, Fernández-Rhodes L, Maselko J, Pence BW, Dhingra R, Galea S, Uddin M, Wildman DE, Aiello AE. Does biological age mediate the relationship between childhood adversity and depression? Insights from the Detroit Neighborhood Health Study. Soc Sci Med 2024; 340:116440. [PMID: 38039767 PMCID: PMC10843850 DOI: 10.1016/j.socscimed.2023.116440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/26/2023] [Accepted: 11/15/2023] [Indexed: 12/03/2023]
Abstract
The link between childhood adversity and adulthood depression is well-established; however, the underlying mechanisms are still being explored. Recent research suggests biological age may mediate the relationship between childhood adversity and depression in later life. This study examines if biological age mediates the relationship between childhood adversity and depression symptoms using an expanded set of biological age measures in an urban population-based cohort. Data from waves 1-3 of the Detroit Neighborhood Health Study (DNHS) were used in this analysis. Questions about abuse during childhood were coded to form a childhood adversity score similar to the Adverse Childhood Experience measure. Multiple dimensions of biological age, defined as latent variables, were considered, including systemic biological age (GrimAge, PhenoAge), epigenetic age (Horvath, SkinBlood), and immune age (cytomegalovirus, herpes simplex virus type 1, C-reactive protein, interleukin-6). Depression symptoms, modeled as a latent variable, were captured through the Patient Health Questionnaire-9 (PHQ-9). Models were adjusted for age, gender, race, parent education, and past depressive symptoms. Total and direct effects of childhood adversity on depression symptoms and indirect effects mediated by biological age were estimated. For total and direct effects, we observed a dose-dependent relationship between cumulative childhood adversity and depression symptoms, with emotional abuse being particularly influential. However, contrary to prior studies, in this sample, we found few direct effects of childhood adversity on biological age or biological age on depression symptoms and no evidence of mediation through the measures of biological age considered in this study. Further research is needed to understand how childhood maltreatment experiences are embodied to influence health and wellness.
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Affiliation(s)
- Rae Anne M Martinez
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Annie Green Howard
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Joanna Maselko
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Brian W Pence
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Radhika Dhingra
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Sandro Galea
- Office of the Dean, School of Public Health, Boston University, Boston, USA
| | - Monica Uddin
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Derek E Wildman
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Allison E Aiello
- Department of Epidemiology, Mailman School of Public Health, Columbia, NY, New York, USA; Robert N. Butler Columbia Aging Center, Columbia, NY, New York, USA
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Sun J, Wang J, Li H. Are adverse childhood experiences associated with trajectories of healthy aging? Evidence from China. SSM Popul Health 2023; 24:101501. [PMID: 37692835 PMCID: PMC10492199 DOI: 10.1016/j.ssmph.2023.101501] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/21/2023] [Accepted: 08/25/2023] [Indexed: 09/12/2023] Open
Abstract
Adverse childhood experiences (ACEs) have life-course impact and may be associated with healthy aging. This study aimed to explore the association between ACEs and healthy aging trajectories among middle- and older-aged adults in China. The data were obtained from the China Health and Retirement Longitudinal Study from 2011 to 2018. A total of 8906 respondents were enrolled in the analysis. Through latent growth mixture model, five categories of healthy aging trajectories which defined as 'stable type with high starting point', 'stable type at the middle level', 'stable type with low starting point', 'rapid descending type with high starting point', and 'stable descending type with medium starting point' were identified. Based on multinomial logistic regression, ACEs were significantly associated with healthy aging trajectories (stable type at the middle level/stable type with high starting point: relative risk reduction [RRR] = 1.19; P < 0.01; 95% CI = 1.16-1.23; stable type with low starting point/stable type with high starting point: RRR = 1.35; P < 0.01; 95%CI = 1.21-1.51; rapid descending type with high starting point/stable type with high starting point: RRR = 1.09; P < 0.1; 95% CI = 0.99-1.19; and stable descending type with medium starting point/stable type with high starting point: RRR = 1.30; P < 0.01; 95% CI = 1.23-1.38). When treating ACEs as a categorical variable, the healthy aging trajectory of the rapid descending type with a high starting point was not affected by any ACE groups. Further analysis of the relationship between each ACE and the trajectories of healthy aging reveals that parental disability, household mental illness, domestic violence, physical abuse, unsafe neighbourhood and bullying had significant impacts on almost every developmental trajectory of unhealthy aging. The government should promote the realisation of healthy aging from the perspective of the entire population and life cycle, intervene early in life, avoid the occurrence of ACEs as much as possible, and minimize the harm done by ACEs as much as possible.
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Affiliation(s)
- Ju Sun
- School of Political Science and Public Administration, Wuhan University, Wuhan, China
| | - Jingru Wang
- School of Political Science and Public Administration, Wuhan University, Wuhan, China
| | - Haomiao Li
- School of Political Science and Public Administration, Wuhan University, Wuhan, China
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29
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Yang K, Hou R, Zhao J, Wang X, Wei J, Pan X, Zhu X. Lifestyle effects on aging and CVD: A spotlight on the nutrient-sensing network. Ageing Res Rev 2023; 92:102121. [PMID: 37944707 DOI: 10.1016/j.arr.2023.102121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 10/12/2023] [Accepted: 11/04/2023] [Indexed: 11/12/2023]
Abstract
Aging is widespread worldwide and a significant risk factor for cardiovascular disease (CVD). Mechanisms underlying aging have attracted considerable attention in recent years. Remarkably, aging and CVD overlap in numerous ways, with deregulated nutrient sensing as a common mechanism and lifestyle as a communal modifier. Interestingly, lifestyle triggers or suppresses multiple nutrient-related signaling pathways. In this review, we first present the composition of the nutrient-sensing network (NSN) and its metabolic impact on aging and CVD. Secondly, we review how risk factors closely associated with CVD, including adverse life states such as sedentary behavior, sleep disorders, high-fat diet, and psychosocial stress, contribute to aging and CVD, with a focus on the bridging role of the NSN. Finally, we focus on the positive effects of beneficial dietary interventions, specifically dietary restriction and the Mediterranean diet, on the regulation of nutrient metabolism and the delayed effects of aging and CVD that depend on the balance of the NSN. In summary, we expound on the interaction between lifestyle, NSN, aging, and CVD.
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Affiliation(s)
- Kaiying Yang
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Rongyao Hou
- Department of Neurology, The Affiliated Hiser Hospital of Qingdao University, Qingdao 266000, China
| | - Jie Zhao
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Xia Wang
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Jin Wei
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Xudong Pan
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao 266000, China.
| | - Xiaoyan Zhu
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao 266000, China.
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30
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Schmitz LL, Duffie E, Zhao W, Ratliff SM, Ding J, Liu Y, Merkin SS, Smith JA, Seeman T. Associations of Early-Life Adversity With Later-Life Epigenetic Aging Profiles in the Multi-Ethnic Study of Atherosclerosis. Am J Epidemiol 2023; 192:1991-2005. [PMID: 37579321 PMCID: PMC10988110 DOI: 10.1093/aje/kwad172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 06/28/2023] [Accepted: 08/09/2023] [Indexed: 08/16/2023] Open
Abstract
Epigenetic biomarkers of accelerated aging have been widely used to predict disease risk and may enhance our understanding of biological mechanisms between early-life adversity and disparities in aging. With respect to childhood adversity, most studies have used parental education or childhood disadvantage and/or have not examined the role played by socioemotional or physical abuse and trauma in epigenetic profiles at older ages. This study leveraged data from the Multi-Ethnic Study of Atherosclerosis (MESA) on experiences of threat and deprivation in participants' early lives (i.e., before the age of 18 years) to examine whether exposure to specific dimensions of early-life adversity is associated with epigenetic profiles at older ages that are indicative of accelerated biological aging. The sample included 842 MESA respondents with DNA methylation data collected between 2010 and 2012 who answered questions on early-life adversities in a 2018-2019 telephone follow-up. We found that experiences of deprivation, but not threat, were associated with later-life GrimAge epigenetic aging signatures that were developed to predict mortality risk. Results indicated that smoking behavior partially mediates this association, which suggests that lifestyle behaviors may act as downstream mechanisms between parental deprivation in early life and accelerated epigenetic aging in later life.
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Affiliation(s)
- Lauren L Schmitz
- Correspondence to Dr. Lauren L. Schmitz, Robert M. La Follette School of Public Affairs, University of Wisconsin–Madison, 1225 Observatory Drive, Madison, WI 53706 (e-mail: )
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31
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Yang S, Zhu Z, Chen S, Yuan Y, He M, Wang W. Metabolic fingerprinting on retinal pigment epithelium thickness for individualized risk stratification of type 2 diabetes mellitus. Nat Commun 2023; 14:6573. [PMID: 37852995 PMCID: PMC10585002 DOI: 10.1038/s41467-023-42404-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 10/10/2023] [Indexed: 10/20/2023] Open
Abstract
The retina is an important target organ of diabetes mellitus, with increasing evidence from patients and animal models suggesting that retinal pigment epithelium (RPE) may serve as an early marker for diabetes-related damages. However, their longitudinal relationship and the biological underpinnings remain less well understood. Here, we demonstrate that reduced in vivo measurements of RPE thickness (RPET) represents a significant risk factor for future type 2 diabetes mellitus (T2DM) and its microvascular phenotypes. After performing systematic analyses of circulating plasma metabolites using two complementary approaches, we identify a wide range of RPET metabolic fingerprints that are independently associated with reduced RPET. These fingerprints hold their potential to improve predictability and clinical utility for stratifying future T2DM and related microvascular phenotypes beyond traditional clinical indicators, providing insights into the promising role of retinas as a window to systemic health.
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Affiliation(s)
- Shaopeng Yang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia
| | - Shida Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China
| | - Yixiong Yuan
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
- Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China
| | - Mingguang He
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
- Experimental Ophthalmology, The Hong Kong Polytechnic University, Hong Kong, China.
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.
- Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, China.
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32
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Zhang Y, Yang H, Yang Z, Li X, Liu Z, Bai Y, Qian G, Wu H, Li J, Guo Y, Yang S, Chen L, Yang J, Han J, Ma S, Yang J, Yu L, Shui R, Jin X, Wang H, Zhang F, Chen T, Li X, Zong X, Liu L, Fan J, Wang W, Zhang Y, Shi G, Wang D, Tao S. Could long-term dialysis vintage and abnormal calcium, phosphorus and iPTH control accelerate aging among the maintenance hemodialysis population? Ren Fail 2023; 45:2250457. [PMID: 37724516 PMCID: PMC10512754 DOI: 10.1080/0886022x.2023.2250457] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/16/2023] [Indexed: 09/21/2023] Open
Abstract
OBJECTIVE Aging is a complex process of physiological dysregulation of the body system and is common in hemodialysis patients. However, limited studies have investigated the links between dialysis vintage, calcium, phosphorus, and iPTH control and aging. The purpose of the current study was to examine these associations. METHODS During 2020, a cross-sectional study was conducted in 3025 hemodialysis patients from 27 centers in Anhui Province, China. Biological age was calculated by a formula using chronological age and clinical indicators. The absence of the target range for serum phosphorus (0.87-1.45 mmol/L), corrected calcium (2.1-2.5 mmol/L) and iPTH (130-585 pg/mL) were identified as abnormal calcium, phosphorus, and iPTH control. RESULTS A total of 1131 hemodialysis patients were included, 59.2% of whom were males (669/1131). The mean (standard deviation) of actual age and biological age were 56.07 (12.79) years and 66.94 (25.88), respectively. The median of dialysis vintage was 4.3 years. After adjusting for the confounders, linear regression models showed patients with abnormal calcium, phosphorus, and iPTH control and on hemodialysis for less than 4.3 years (B = 0.211, p = .002) or on hemodialysis for 4.3 years or more (B = 0.302, p < .001), patients with normal calcium, phosphorus, and iPTH control and on hemodialysis for 4.3 years or more (B = 0.087, p = .013) had a higher biological age. CONCLUSION Our findings support the hypothesis that long-term hemodialysis and abnormal calcium, phosphorus, and iPTH control may accelerate aging in the hemodialysis population. Further studies are warrant to verify the significance of maintaining normal calcium-phosphorus metabolism in aging.
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Affiliation(s)
- Yingxin Zhang
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Huan Yang
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Zhengling Yang
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Xiuyong Li
- Blood Purification Center, NO.2 People’s Hospital of Fuyang City, Fuyang, China
| | - Zhi Liu
- Department of Nephrology, The First Affiliated Hospital of Anhui University of Science & Technology, Hefei, Anhui, China
| | - Youwei Bai
- Department of Nephrology, The Second People’s Hospital of Lu’an City, Lu’an, China
| | - Guangrong Qian
- Department of Nephrology, Maanshan People’s Hospital, Maanshan, Anhui, China
| | - Han Wu
- Blood Purification Center, Bozhou People’s Hospital, Bozhou, Anhui, China
| | - Ji Li
- Department of Nephrology, Tongling People’s Hospital, Tongling, China
| | - Yuwen Guo
- Department of Nephrology, Lujiang County People’s Hospital, Lucheng, China
| | - Shanfei Yang
- Department of Nephrology, Shouxian County Hospital, Suzhou, China
| | - Lei Chen
- Department of Nephrology, Hefei Jinnan Kidney Hospital, Hefei, China
| | - Jian Yang
- Department of Nephrology, Funan County People’s Hospital, Funan County, China
| | - Jiuhuai Han
- Department of Nephrology, Anqing Municipal Hospital, Anqing, China
| | - Shengyin Ma
- Department of Nephrology, Anhui Wanbei Coal-Electricity Group General Hospital, Suzhou, China
| | - Jing Yang
- Department of Nephrology, The First People’s Hospital of Hefei, Hefei, China
| | - Linfei Yu
- Department of Nephrology, The People’s Hospital of Taihu, Taihu County, China
| | - Runzhi Shui
- Blood Purification Center, Huangshan City People’s Hospital, Fuyang, China
| | - Xiping Jin
- Department of Nephrology, Huainan Chao Yang Hospital, Huainan, China
| | - Hongyu Wang
- Department of Nephrology, Lixin County People’s Hospital, Lixin County, China
| | - Fan Zhang
- Department of Nephrology, Dongzhi County People’s Hospital, Dongzhi County, China
| | - Tianhao Chen
- Department of Nephrology, Tianchang City People’s Hospital, Tianchang, China
| | - Xinke Li
- Department of Nephrology, Xiaoxian People’s Hospital, Xiaoxian County, China
| | - Xiaoying Zong
- Department of Nephrology, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Li Liu
- Department of Nephrology, The Second People’s Hospital of Hefei, Hefei, China
| | - Jihui Fan
- Department of Nephrology, Huaibei People’s Hospital, Huaibei, China
| | - Wei Wang
- Department of Nephrology, The People’s Hospital of Xuancheng City, Xuancheng, China
| | - Yong Zhang
- Department of Nephrology, Lujiang County Hospital of TCM, Lujiang, China
| | - Guangcai Shi
- Department of Nephrology, The Fifth People’s Hospital of Hefei, Hefei, China
| | - Deguang Wang
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Shuman Tao
- Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
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Xu KH, Li L, Jia SL, Li Q, Hao JX, Ma S, He ZK, Wan QQ, Cai YF, Li ZT, Tay F, Niu LN. Association of Tooth Loss and Diet Quality with Acceleration of Aging: Evidence from NHANES. Am J Med 2023; 136:773-779.e4. [PMID: 37075877 DOI: 10.1016/j.amjmed.2023.04.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 03/27/2023] [Accepted: 04/01/2023] [Indexed: 04/21/2023]
Abstract
BACKGROUND Although tooth loss is widely recognized as a typical sign of aging, whether it is associated with accelerated aging, and to what extent diet quality mediates this association are unknown. METHODS Data were collected from the National Health and Nutrition Examination Survey. The missing tooth counts were recorded as the number of edentulous sites. Phenotypic accelerated aging was calculated using 9 routine clinical chemistry biomarkers and chronological age. Healthy Eating Index 2015 (HEI-2015) score was used to evaluate diet quality. Multivariate logistic regression and linear regression were used to analyze the association between tooth loss and accelerated aging. Mediation analyses were used to examine the mediation role of diet quality in the association. RESULTS The association between tooth loss and accelerated aging was confirmed. The highest quartile of tooth loss showed a positive association with accelerated aging (β=1.090; 95% confidence interval, 0.555 to 1.625; P < .001). Diet quality decreased with increase number of missing teeth and showed a negative association with accelerated aging. Mediation analysis suggested that the HEI-2015 score partially mediated the association between tooth loss and accelerated aging (proportion of mediation: 5.302%; 95% confidence interval, 3.422% to 7.182%; P < .001). Plant foods such as fruits and vegetables were considered the key mediating food. CONCLUSIONS The association between tooth loss and accelerated aging, as well as the partially mediating role of dietary quality in this association was confirmed. These findings suggested that more attention should be paid to the population with severe tooth loss and the changes of their dietary quality.
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Affiliation(s)
- Ke-Hui Xu
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, School of Stomatology, The Fourth Military Medical University, Xi'an, China
| | - Ling Li
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, School of Stomatology, The Fourth Military Medical University, Xi'an, China
| | - Shuai-Lin Jia
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, School of Stomatology, The Fourth Military Medical University, Xi'an, China; The Third Affiliated Hospital of Xinxiang Medical University, China
| | - Qihong Li
- Department of Stomatology, the Fifth Medical Centre, Chinese PLA General Hospital, Dongda Street, Beijing, China
| | - Jia-Xin Hao
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, School of Stomatology, The Fourth Military Medical University, Xi'an, China; Shanxi Medical University School and Hospital of Stomatology, Taiyuan, China
| | - Sai Ma
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, School of Stomatology, The Fourth Military Medical University, Xi'an, China
| | - Zi-Kang He
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, School of Stomatology, The Fourth Military Medical University, Xi'an, China
| | - Qian-Qian Wan
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, School of Stomatology, The Fourth Military Medical University, Xi'an, China
| | - Yun-Fan Cai
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, School of Stomatology, The Fourth Military Medical University, Xi'an, China; Taihe Hospital of Hubei University of Medicine, Shiyan, China
| | - Zhi-Ting Li
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, School of Stomatology, The Fourth Military Medical University, Xi'an, China; Taihe Hospital of Hubei University of Medicine, Shiyan, China
| | - Franklin Tay
- The Dental College of Georgia, Augusta University
| | - Li-Na Niu
- State Key Laboratory of Military Stomatology & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, School of Stomatology, The Fourth Military Medical University, Xi'an, China.
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Zhang L, Wang W, Chen Y, Abudoula A, Wang X, Yuan X, Luo Y, Wu M, Ma L. Adverse childhood experiences, unhealthy lifestyle, and nonsuicidal self-injury: findings from six universities in Shaanxi province, China. Front Public Health 2023; 11:1199882. [PMID: 37397740 PMCID: PMC10308309 DOI: 10.3389/fpubh.2023.1199882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 05/18/2023] [Indexed: 07/04/2023] Open
Abstract
Background Nonsuicidal self-injury (NSSI) is a serious public health problem. The role of adverse childhood experiences (ACEs) and lifestyle on the risk for NSSI is still underexplored, especially among college students. We aimed to investigate the association of ACEs with the risk of NSSI, and effect modifications by lifestyle among college students. Methods A total of 18,723 college students from six universities were recruited through a multistage, random cluster sampling method in Shaanxi province, China. The Adverse Childhood Experiences International Questionnaire was used to assess ACEs for each participant, and the Chinese version of the Ottawa Self-injury Inventory was used to assess the presence or absence of NSSI behaviors. Information about lifestyle was collected by a self-designed questionnaire. The associations of NSSI with ACEs and lifestyle were analyzed using logistic regression models. Furthermore, we constructed a combination score of multiple lifestyles and evaluated whether lifestyle modified the effect of ACEs on the risk of NSSI. Results The prevalence of NSSI for the past 1 month, 6 months, and 12 months was 3.8, 5.3, and 6.5%, respectively. 82.6% of participants have reported experiencing at least one type of ACEs, and participants with higher levels of ACEs (≥4) were more likely to have higher odds of developing NSSI during the past 1 month (OR, 4.10; 95%CI, 3.38-4.97), 6 months (OR, 4.76; 95%CI, 4.03-5.62), and 12 months (OR, 5.62; 95%CI, 4.83-6.55), as compared with participants with low levels of ACEs (0-1). There were additive interactions between ACEs and lifestyle. Compared with participants with low levels of ACEs and healthy lifestyle, participants with high levels of ACEs and unhealthy lifestyle had the highest odds of NSSI during the past 1 month (OR, 5.56; 95%CI, 3.80-8.31), 6 months (OR, 6.62; 95%CI, 4.73-9.42), and 12 months (OR, 7.62; 95%CI, 5.59-10.52). Conclusion These results suggest that ACEs play an important role in the occurrence of NSSI among college students, especially in those with unhealthy lifestyle. Our findings may help develop targeted intervention strategies for the prevention of NSSI.
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Affiliation(s)
- Lei Zhang
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
- Shaanxi Medical Association, Xi’an, China
- Shaanxi Provincial Health Industry Association Service Center, Xi’an, China
| | - Wenhua Wang
- Shaanxi Provincial Health Industry Association Service Center, Xi’an, China
| | - Yan Chen
- Changjun Kaifu Middle School, Changsha, China
| | - Aisimila Abudoula
- Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China
| | - Xue Wang
- Shaanxi Medical Association, Xi’an, China
| | - Xiaoxiao Yuan
- Shaanxi Provincial Health Industry Association Service Center, Xi’an, China
| | - Yi Luo
- Shaanxi Provincial Health Industry Association Service Center, Xi’an, China
| | - Mingyang Wu
- Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha, China
| | - Le Ma
- School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China
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O'Leary E, Millar SR, Perry IJ, Phillips CM. Association of adverse childhood experiences with lipid profiles and atherogenic risk indices in a middle-to-older aged population. SSM Popul Health 2023; 22:101393. [PMID: 37090689 PMCID: PMC10119964 DOI: 10.1016/j.ssmph.2023.101393] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/27/2023] [Accepted: 04/03/2023] [Indexed: 04/08/2023] Open
Abstract
Background Adverse childhood experiences (ACE) have been associated with poor later life health outcomes, including cardiovascular disease (CVD). Limited research investigating potential underlying biological mechanisms linking ACE to CVD exists, particularly regarding lipid biomarkers. Objectives The aim of this study was to examine the associations between childhood adversity and unfavourable lipid profiles and derived atherogenic risk indices in a middle-to-older aged population. Methods This cross-sectional study includes 1820 participants from the Mitchelstown cohort (49% male) in Ireland. Participants' self-reported history of childhood adversity (overall and by subtypes household dysfunction, abuse and neglect) were assessed through a validated 10-item ACE questionnaire. Lipid profiles were determined and atherogenic risk indices including Castelli's Risk Index 1 and 2 (CRI-I and CRI-II), Atherogenic Coefficient (AC) and Atherogenic Index Plasma (AIP) were generated. Logistic regression analysed ACE associations with unfavourable lipid outcomes, controlling for potential confounders. Results ACE history (reported by 23% of sample), in particular childhood exposure to household dysfunction, was associated with later-life non-optimal TG and HDL-C concentrations and atherogenic risk indices CRI-II and AC in age and sex-adjusted models (all p < 0.05). In fully adjusted models, adults reporting ACE or exposure to household dysfunction were approximately twice as likely to have pro-atherogenic CRI-II relative to adults with no ACE (OR = 1.86, 95% CI: 1.19-2.92, p = 0.006 and OR = 2.19, 95% CI: 1.33-3.61, p = 0.002, respectively). Sex-stratified analysis demonstrated sex-specific associations. Conclusions This study provides evidence that ACEs are common among older adults in Ireland and are associated with unfavourable lipid profiles and derived atherogenic risk indices.
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Affiliation(s)
- Emily O'Leary
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Ireland
| | - Seán R. Millar
- School of Public Health, University College Cork, Cork, Ireland
| | - Ivan J. Perry
- School of Public Health, University College Cork, Cork, Ireland
| | - Catherine M. Phillips
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin 4, Ireland
- Corresponding author. School of Public Health, Physiotherapy and Sports Science, University College Dublin, Ireland.
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Du M, Zhu L, Liu M, Liu J. Mutual Associations of Healthy Behaviours and Socioeconomic Status with Respiratory Diseases Mortality: A Large Prospective Cohort Study. Nutrients 2023; 15:nu15081872. [PMID: 37111091 PMCID: PMC10142455 DOI: 10.3390/nu15081872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/06/2023] [Accepted: 04/11/2023] [Indexed: 04/29/2023] Open
Abstract
Little cohort evidence is available on the effect of healthy behaviours and socioeconomic status (SES) on respiratory disease mortality. We included 372,845 participants from a UK biobank (2006-2021). SES was derived by latent class analysis. A healthy behaviours index was constructed. Participants were categorized into nine groups on the basis of combinations of them. The Cox proportional hazards model was used. There were 1447 deaths from respiratory diseases during 12.47 median follow-up years. The hazard ratios (HRs, 95% CIs) for the low SES (vs. high SES) and the four or five healthy behaviours (vs. no or one healthy behaviour) were 4.48 (3.45, 5.82) and 0.44 (0.36, 0.55), respectively. Participants with both low SES and no or one healthy behaviour had a higher risk of respiratory disease mortality (aHR = 8.32; 95% CI: 4.23, 16.35) compared with those in both high SES and four or five healthy behaviours groups. The joint associations were stronger in men than in women, and in younger than older adults. Low SES and less healthy behaviours were both associated with an increased risk of respiratory disease mortality, which augmented when both presented together, especially for young man.
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Affiliation(s)
- Min Du
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Lin Zhu
- Center for Primary Care and Outcomes Research, School of Medicine, Center for Health Policy, Freeman Spogli Institute for International Studies, Stanford University, 450 Jane Stanford Way, Stanford, CA 94305-2004, USA
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38, Xueyuan Road, Haidian District, Beijing 100191, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38, Xueyuan Road, Haidian District, Beijing 100191, China
- Institute for Global Health and Development, Peking University, No.5, Yiheyuan Road, Haidian District, Beijing 100871, China
- Global Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, No.38, Xueyuan Road, Haidian District, Beijing 100191, China
- Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People's Republic of China, No.38, Xueyuan Road, Haidian District, Beijing 100191, China
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Carrillo‐Arango HA, Atencio‐Osorio MA, López‐Álban CA, Nava‐González EJ, Correa‐Rodríguez M, Izquierdo M, Ramírez‐Vélez R. Metabolic responses to acute sprint interval exercise training performed after an oral 75-gram glucose load in individuals with overweight/obesity. Physiol Rep 2023; 11:e15555. [PMID: 36695728 PMCID: PMC9875746 DOI: 10.14814/phy2.15555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 12/14/2022] [Accepted: 12/14/2022] [Indexed: 06/17/2023] Open
Abstract
There is evidence supporting that acute sprint interval training (SIT) might improve metabolic responses to postprandial glucose, but results are inconclusive. The aim of the present study was to explore the effects of acute SIT on metabolic response and substrate utilization in individuals with overweight/obesity after an oral 75-gram glucose challenge. Thirty-three participants with overweight/ obesity (32.7 ± 8.3 years, 24 male, 9 female) participated in the study and a crossover design was followed. After the 75-gram glucose load, participants were randomly allocated to two groups: no exercise (resting) or SIT protocol. Metabolic data including respiratory quotient (RQ) and substrate utilization rates (fats and carbohydrates) were collected using the COSMED Q-NRG + ® calorimeter. The RQ was significantly lower in the acute SIT group (0.76 [0.01]; p < 0.0001) than in the resting group (0.80 [0.01]; p = 0.036) at the 120-min postprandial time point, and the RQ area under the curve (AUC) was also lower in the SIT group (mean difference of -6.62, 95% CI -12.00 to -1.24; p = 0.0161). The contribution of fat to energy expenditure increased after SIT during the postprandial period whereas the contribution of carbohydrates decreased. The AUC for fat contribution was significantly higher (mean difference 2311.9, 95% confidence interval [CI] 578.8 to 4043.3; p = 0.0098) and the AUC for carbohydrate contribution was significantly lower (mean difference -2283.1, 95% CI -4040.2 to -527.1; p = 0.0117) in the SIT group than in the resting group. In conclusions, acute SIT might have a positive effect on metabolic responses to postprandial glucose and, accordingly, should be recommended for improving metabolism in people with overweight/obesity.
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Affiliation(s)
- Hugo Alejandro Carrillo‐Arango
- Grupo de Investigación en Deporte de Rendimiento (GRINDER), Programa de Educación Física y DeporteUniversidad del ValleCaliColombia
| | - Miguel Alejandro Atencio‐Osorio
- Grupo de Investigación en Deporte de Rendimiento (GRINDER), Programa de Educación Física y DeporteUniversidad del ValleCaliColombia
| | - Carlos Alejandro López‐Álban
- Grupo de Investigación en Deporte de Rendimiento (GRINDER), Programa de Educación Física y DeporteUniversidad del ValleCaliColombia
- Zoe H&F Centro Para la Investigación En Salud y Rendimiento HumanoCaliColombia
| | - Edna J. Nava‐González
- Facultad de Salud Pública y NutriciónUniversidad Autónoma de Nuevo LeónMonterrey, Nuevo LeónMéxico
| | - María Correa‐Rodríguez
- Department of Nursing, Faculty of Health SciencesUniversity of GranadaGranadaSpain
- Biosanitary Research Institute (ibs.GRANADA)GranadaSpain
| | - Mikel Izquierdo
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA)PamplonaEspaña
- CIBER of Frailty and Healthy Aging (CIBERFES)Instituto de Salud Carlos IIIMadridSpain
| | - Robinson Ramírez‐Vélez
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA)PamplonaEspaña
- CIBER of Frailty and Healthy Aging (CIBERFES)Instituto de Salud Carlos IIIMadridSpain
- Facultad de Ciencias de la EducaciónUnidad Central del Valle del Cauca (UCEVA)TúluaColombia
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Du M, Tao L, Liu M, Liu J. Mediation of Healthy Behaviour on the Association of Frailty with Respiratory Diseases Mortality among 0.4 Million Participants: A Prospective Cohort Study from UK Biobank. Nutrients 2022; 14:nu14235046. [PMID: 36501077 PMCID: PMC9736014 DOI: 10.3390/nu14235046] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 11/23/2022] [Accepted: 11/25/2022] [Indexed: 11/29/2022] Open
Abstract
The mutual relationship between frailty and healthy behaviour and its effect on respiratory diseases mortality remains largely unknown; this study aims to supplement related analysis on it by using a large sample cohort study. We included 411,987 participants from the UK Biobank study (2006-2021), and measured participants' frailty phenotype and healthy behaviour index by using questionnaires and physical measurement. Mortality from respiratory diseases were obtained through linkage to registries. We used the cox proportional hazards model to explore the association of frailty with respiratory diseases mortality, and calculated the mediation proportion of the healthy behaviour. During a median follow-up of 12.48 years, and after adjustment for other covariates and healthy behaviour index, when compared with non-frail participants, being frail was associated with 2.68 times, 3.27 times, and 3.31 times higher risk of total respiratory diseases mortality, influenza and pneumonia mortality and chronic lower respiratory diseases mortality, respectively. The attenuated proportions mediated by healthy behaviour were 5.1% (95% CI: 4.4%, 5.9%), 3.0% (95% CI: 2.1%, 4.2%) and 6.0% (95% CI: 4.9%, 7.4%), respectively. Compared with non-frail individuals with four or five healthy behaviours, frail individuals with no or one healthy behaviour had higher risks of total respiratory diseases mortality (aHR = 4.59; 95% CI: 3.27, 6.45), influenza and pneumonia mortality (aHR = 4.55; 95% CI: 2.30, 9.03), as well as chronic lower respiratory diseases mortality (aHR = 12.70; 95% CI: 5.76, 27.96). Adherence to a healthy lifestyle therefore represents a potentially modifiable target for improving the harmful impact of frailty on reduced life expectancy as a result of respiratory diseases.
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Affiliation(s)
- Min Du
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Liyuan Tao
- Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing 100191, China
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
- Institute for Global Health and Development, Peking University, Beijing 100871, China
- Global Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, Beijing 100191, China
- Key Laboratory of Reproductive Health, National Health and Family Planning Commission of the People’s Republic of China, Beijing 100191, China
- Correspondence: ; Tel.: +86-10-8-2801528-319
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