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Wang X, Cao Z, Yin S, Duan T, Sun T, Xu C. Childhood maltreatment and depression: mediating role of lifestyle factors, personality traits, adult traumas, and social connections among middle-aged and elderly participants. BMC Med 2025; 23:319. [PMID: 40442653 PMCID: PMC12123874 DOI: 10.1186/s12916-025-04147-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2024] [Accepted: 05/16/2025] [Indexed: 06/02/2025] Open
Abstract
BACKGROUND Accumulating evidence has supported the associations between childhood maltreatment and increased risk of depression; however, the underlying mechanisms remain largely unclear. We aimed to explore the potential role of lifestyle factors, personality traits, adult traumas, and social connections in the association between childhood maltreatment and depression. METHODS We used a nationwide cohort data from the UK Biobank, involving half a million participants aged 37-73 years, recruited across 22 centers in the UK between 2006 and 2010. Participants with complete information on childhood experiences and who were free of depression were included. The Childhood Trauma Questionnaire was used to calculate the maltreatment for five subtypes: physical neglect, emotional neglect, sexual abuse, physical abuse, and emotional abuse. Multivariate logistic regression models were implemented to examine the association between childhood maltreatment and depression. A path analysis using structural equation modeling (SEM) was then performed to assess the mediating effects of lifestyle factors, personality traits, adult traumas, and social connections. RESULTS During a mean follow-up of 13.88 years, 5545 participants developed depression. Of the 109,401 participants included in the study (mean [standard deviation] age, 55.75 [7.76] years; 58,315 females [53.30%]), 48,923 participants reported experiencing at least one form of childhood maltreatment. We observed that higher childhood maltreatment scores (odds ratio [OR] 1.28, 95% confidence interval [CI] 1.25-1.31) and all five childhood maltreatment subtypes (physical neglect: 1.46, 1.36-1.56; emotional neglect: 1.78, 1.67-1.89; sexual abuse: 1.48, 1.36-1.61; physical abuse: 1.37, 1.29-1.47; emotional abuse: 1.88, 1.76-2.00) were associated with an increased risk of depression. The SEM results indicated that the effect of childhood maltreatment on depression was partly mediated by lifestyle factors (β - 0.15, P < 0.001), personality traits (β - 0.12, P < 0.001), adult traumas (β 0.50, P < 0.001), and social connections (β - 0.19, P < 0.001), rather than having a direct effect on depression. CONCLUSIONS We found that social environmental factors such as lifestyle, personality, adult traumas, and social connections mediate the relationship between childhood maltreatment and depression in middle-aged and elderly people. These findings suggest that addressing these factors may be relevant for mental health interventions in individuals with a history of childhood maltreatment.
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Affiliation(s)
- Xuemei Wang
- School of Public Administration, Hangzhou Normal University, No.2318, Yuhangtang Road, Yuhang District, Hangzhou, 311121, China
| | - Zhi Cao
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shaohua Yin
- Department of Medical Engineering, Peking University Third Hospital, Beijing, China
| | - Tingshan Duan
- School of Public Administration, Hangzhou Normal University, No.2318, Yuhangtang Road, Yuhang District, Hangzhou, 311121, China
| | - Tao Sun
- School of Public Administration, Hangzhou Normal University, No.2318, Yuhangtang Road, Yuhang District, Hangzhou, 311121, China.
| | - Chenjie Xu
- School of Public Administration, Hangzhou Normal University, No.2318, Yuhangtang Road, Yuhang District, Hangzhou, 311121, China.
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Zhao Y, Wang Y, Chen L, Chen H, Tang Y, He Y, Yao P. Accelerated Biological Aging, Genetic Susceptibility, and Non-Alcoholic Fatty Liver Disease: Two Prospective Cohort Studies. Nutrients 2025; 17:1618. [PMID: 40431359 PMCID: PMC12113898 DOI: 10.3390/nu17101618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2025] [Revised: 05/05/2025] [Accepted: 05/06/2025] [Indexed: 05/29/2025] Open
Abstract
Background: Biological aging is considered a vital risk factor for age-related diseases, but its role in non-alcoholic fatty liver disease (NAFLD) remains uncertain. This study aimed to evaluate the associations of biological aging with NAFLD and the modified effect of genetic susceptibility. Methods: This study included 329,040 participants from the UK Biobank and 6783 participants from the Dongfeng-Tongji Cohort in China. We calculated the chronological age-adjusted biological age as a surrogate measure for biological aging. Accelerated aging was defined as biological age that exceeded chronological age. The association between biological aging and the risk of NAFLD was assessed in the two cohorts. Polygenic risk scores (PRSs) were used to determine genetic susceptibility for NAFLD in the UK Biobank and further analyze the interaction with biological aging. Results: In the UK Biobank, one year older in age-adjusted biological age increased prevalent NAFLD risk by 6%. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) of NAFLD by accelerated aging were 1.35 (1.17, 1.56) and 1.69 (1.54, 1.85) compared to non-aging. In the Dongfeng-Tongji Cohort, biological aging was prospectively associated with NAFLD (accelerated aging: odds ratio (OR) (95% CI) = 1.18 (1.03, 1.36)). In the UK Biobank, high genetic risk was significantly associated with higher NAFLD risk compared to low genetic risk (HRs (95% CIs) = 1.65 (1.40, 1.95)). Analyses of joint effects showed that participants with high PRS and accelerated aging had the highest risk of NAFLD [2.66 (2.98, 3.57) and 2.06 (2.36, 3.96)]. However, biological aging was prospectively associated with NAFLD among participants regardless of genetic risk. There was no significant interaction between genetic risk and biological aging. Conclusions: Accelerated biological aging was associated with a higher risk of NAFLD independent of genetic susceptibility. Identifying populations with accelerated biological aging by the use of surrogate measures and timely intervention may be beneficial for the prevention of NAFLD.
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Affiliation(s)
- Ying Zhao
- School of Public Health, Kunming Medical University, Kunming 650500, China;
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; (Y.W.); (H.C.); (Y.T.)
| | - Yu Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; (Y.W.); (H.C.); (Y.T.)
| | - Li Chen
- Hubei Key Laboratory of Lipid Chemistry and Nutrition, and Key Laboratory of Oilseeds Processing, Ministry of Agriculture, Oil Crops and Lipids Process Technology National & Local Joint Engineering Laboratory, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan 430062, China;
| | - Huimin Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; (Y.W.); (H.C.); (Y.T.)
| | - Yuhan Tang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; (Y.W.); (H.C.); (Y.T.)
| | - Yuefeng He
- School of Public Health, Kunming Medical University, Kunming 650500, China;
| | - Ping Yao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health and MOE Key Lab of Environment and Health, Key Laboratory of Environment and Health (Wuhan), Ministry of Environmental Protection, State Key Laboratory of Environment Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; (Y.W.); (H.C.); (Y.T.)
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Wang J, Huang Y, Zhu Q, Huang C, Lin R, Peng Y, Jiang Z, Tang D, Yao Y, Zheng X, Qin G, Chen J. Association between hospital-treated infectious diseases and risk of neurodegenerative disease among patients with prediabetes and diabetes: A prospective cohort study in UK Biobank. Brain Behav Immun 2025; 126:30-37. [PMID: 39914575 DOI: 10.1016/j.bbi.2025.01.027] [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: 08/15/2024] [Revised: 01/25/2025] [Accepted: 01/31/2025] [Indexed: 02/10/2025] Open
Abstract
BACKGROUND Previous evidence suggests that infectious diseases may contribute to the development of neurodegenerative diseases (NDDs) while individuals with hyperglycemia may be at increased risk for both infection and NDDs due to dysregulated inflammation levels. This study aimed to examine the association between hospital-treated infectious diseases and the risk of NDDs among patients with prediabetes and diabetes and whether the associations differed by the number of infections and potential effect modifiers. STUDY DESIGN AND METHOD Using data from the UK Biobank, we conducted a prospective study involving 69,731 individuals, consisting of 48,149 participants with prediabetes and 21,582 participants with diabetes. Hospital-treated infectious diseases and NDDs were identified through record linkage to Health Episode Statistics and the Scottish Morbidity Records. Cox regression models were applied to assess the association between hospital-treated infectious diseases and the risk of developing NDDs, and to evaluate the trend of this association in relation to the number of infections. The modification effects by age, sex, smoking status, alcohol consumption, sleep duration, body mass index (BMI), glycated hemoglobin (HbA1c) levels, comorbidities, and diabetes medication use were investigated. RESULTS Over a median follow-up of 10.75 years, 1,867 participants (2.57 per 1,000 person-years) were diagnosed with NDDs. We found hospital-treated infectious diseases were significantly associated with an increased risk of NDDs among both individuals with prediabetes or diabetes (adjusted HR [aHR] 3.11, 95 % CI 2.83-3.42). Specifically, hospital-treated infectious diseases were associated with a higher risk of developing Alzheimer's disease, vascular dementia, all-cause dementia, Parkinson's disease, and multiple sclerosis. Moreover, a greater number of infection diagnoses was associated with a higher risk of NDDs. Consistent associations between infection and an increased risk of NDDs were observed, regardless of factors representing age, sex, lifestyle, and diabetes severity. CONCLUSIONS Hospital-treated infectious diseases were significantly associated with the risk of NDDs in individuals with diabetes and prediabetes, with similar associations observed for bacterial and viral infections. These findings emphasize the importance of implementing infection prevention strategies and monitoring of infectious comorbidities in the management of NDDs among patients with prediabetes and diabetes.
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Affiliation(s)
- Jing Wang
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032 China; Department of Biostatistics, NHC Key Laboratory for Health Technology Assessment, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032 China
| | - Yifang Huang
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032 China; Department of Biostatistics, NHC Key Laboratory for Health Technology Assessment, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032 China
| | - Qiuli Zhu
- Healthcare-associated Infection Prevention and Control Office, Shanghai General Hospital, Address: No. 100 Haining Road, Hongkou District, Shanghai, China
| | - Chen Huang
- Department of Biostatistics, NHC Key Laboratory for Health Technology Assessment, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032 China
| | - Ruilang Lin
- Department of Biostatistics, NHC Key Laboratory for Health Technology Assessment, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032 China
| | - Yuwei Peng
- Department of Biostatistics, NHC Key Laboratory for Health Technology Assessment, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032 China
| | - Zixuan Jiang
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032 China; Department of Biostatistics, NHC Key Laboratory for Health Technology Assessment, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032 China
| | - Dongxu Tang
- Department of Health Management, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ye Yao
- Department of Biostatistics, NHC Key Laboratory for Health Technology Assessment, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032 China
| | - Xueying Zheng
- Department of Biostatistics, NHC Key Laboratory for Health Technology Assessment, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032 China.
| | - Guoyou Qin
- Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai 200032 China; Department of Biostatistics, NHC Key Laboratory for Health Technology Assessment, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032 China.
| | - Jiaohua Chen
- Department of Health Management, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, China.
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Liu Y, Zhang L, Jin Z, Zhang L, Song Y, He L. Association of longitudinal body mass index trajectories with phenotypic age acceleration: a cross-sectional study based on growth mixture modeling. GeroScience 2025:10.1007/s11357-025-01681-y. [PMID: 40307654 DOI: 10.1007/s11357-025-01681-y] [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: 09/17/2024] [Accepted: 04/23/2025] [Indexed: 05/02/2025] Open
Abstract
To examine the association between body mass index (BMI) trajectories, early and recent BMI changes, and phenotypic age acceleration (PhenoAgeAccel), addressing inconsistent findings in previous studies on weight change and aging. Data from the National Health and Nutrition Examination Survey from 2005 to 2018 were used, selecting participants aged 50 years and older. A growth mixture model was employed to identify BMI trajectories. The association between different BMI trajectories and PhenoAgeAccel was assessed using linear and multinomial logistic regression models. The nonlinear effects of BMI changes were identified through threshold effect analysis. Among 5404 participants, the four BMI trajectories identified were as follows: stable weight (29.07%), midlife weight gain (24.31%), late-life weight gain (32.22%), and chronic obesity (14.41%). The chronic obesity group exhibited the most significant elevations in PhenoAgeAccel, indicating they were phenotypically older compared to other groups (β = 4.34, 95% confidence interval 3.67-5.02). Early BMI changes of less than 6% were associated with being phenotypically younger (β = - 5.06, P = 0.029), whereas increases exceeding 6% were linked to being phenotypically older (β = 2.83, P < 0.001). The key threshold for recent BMI changes was 2%; changes below this level were associated with being phenotypically younger, while those exceeding this threshold were linked to being phenotypically older (P < 0.001). This cross-sectional study suggests that individuals with long-term chronic obesity tend to be phenotypically older, whereas those with stable body weight are more likely to be phenotypically younger.
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Affiliation(s)
- Yalan Liu
- Nanan District Center for Disease Control and Prevention, Chongqing, 401336, China
| | - Li Zhang
- Qianxi People's Hospital, Guizhou, 551500, Qianxi, China
| | - Zhaofeng Jin
- Kweichow Moutai Hospital, RenhuaiGuizhou, 564500, China
| | - Lin Zhang
- Qianxi People's Hospital, Guizhou, 551500, Qianxi, China
| | - Yan Song
- Qianxi People's Hospital, Guizhou, 551500, Qianxi, China.
| | - Li He
- Qianxi People's Hospital, Guizhou, 551500, Qianxi, China.
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Xie G, Li J, Wang R, Pei L, Song X, Chen G. Adverse childhood experiences and trajectories of chronic diseases: A population-base longitudinal study. Public Health 2025; 242:256-263. [PMID: 40157050 DOI: 10.1016/j.puhe.2025.03.014] [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: 10/14/2024] [Revised: 02/05/2025] [Accepted: 03/09/2025] [Indexed: 04/01/2025]
Abstract
OBJECTIVES Adverse childhood experiences (ACEs) have far-reaching effects on health outcomes. This study aimed to evaluate the associations of ACEs with trajectories and number of chronic diseases. STUDY DESIGN Cohort study. METHODS Participants aged 45 years or older of China Health and Retirement Longitudinal Study were included. Ten kinds of ACEs encountered before 17 years old were calculated. Number of chronic diseases were assessed by 14 kinds of self-reported or proxy-reported diagnosed chronic diseases. The associations of specific types and number of ACEs with trajectories and number of chronic diseases were analyzed with latent class trajectory model, multinomial Logistic regression, and general estimating equation. RESULTS Four trajectories of chronic diseases were identified in 12157 participants. With the reference of low baseline and persistent growth trajectory, those encountered physical abuse, domestic violence, household mental illness, and parental death had higher risks of high baseline and transient growth trajectory, middle baseline and accelerated growth trajectory of chronic diseases (ORs = 1.18-1.65). Compared to those without ACEs, those with 1 and above kinds of ACEs had elevated risks of middle baseline and persistent growth, high baseline and transient growth trajectory, middle baseline and accelerated growth trajectory of chronic diseases (ORs = 1.15-2.71). Physical abuse, domestic violence, bullying, household mental illness, parental death, and exposure of 2 and above kinds of ACEs increased the number of chronic diseases (β = 0.09-0.62). Associations of ACEs with trajectories and number of chronic diseases were more salient in women than men. CONCLUSIONS Different types and number of ACEs were related to trajectories of chronic diseases, especially in women. Early, comprehensive, and joint actions should be taken to prevent chronic diseases from a life-course perspective.
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Affiliation(s)
- Guilan Xie
- Institute of Population Research, Peking University, Beijing, 100871, People's Republic of China; Oxford Institute of Population Ageing, University of Oxford, Oxford, OX2 6PR, UK
| | - Jiajia Li
- Institute of Population Research, Peking University, Beijing, 100871, People's Republic of China; Oxford Institute of Population Ageing, University of Oxford, Oxford, OX2 6PR, UK
| | - Ruiqi Wang
- Vanke School of Public Health, Tsinghua University, Beijing, 100084, People's Republic of China
| | - Lijun Pei
- Institute of Population Research, Peking University, Beijing, 100871, People's Republic of China
| | - Xinming Song
- Institute of Population Research, Peking University, Beijing, 100871, People's Republic of China
| | - Gong Chen
- Institute of Population Research, Peking University, Beijing, 100871, People's Republic of China.
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Shi X, Wang Y, Yang F, Yi Y, Hu Q, Xie T, Li BX, Ma K. Associations of exposure to volatile organic compounds with biological aging: a cross-sectional study. BMC Public Health 2025; 25:1476. [PMID: 40264054 PMCID: PMC12013053 DOI: 10.1186/s12889-025-22374-3] [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: 12/28/2024] [Accepted: 03/18/2025] [Indexed: 04/24/2025] Open
Abstract
BACKGROUND Volatile organic compounds (VOCs) are recognized as potentially linked to various health damages. However, the effects of VOCs exposure on biological aging remain unknown. This study aimed to investigate this potential association through cross-sectional analyses. METHODS This study analyzed data from the National Health and Nutrition Examination Surveys (2011-2016). There was a total of 29,902 participants and 3,205 participants were finally included. Biological aging was represented by PhenoAge acceleration calculated through multiple indicators including albumin and alkaline phosphatase and so on. We employed weighted multivariate logistic regression to examine the correlation between individual VOC exposure and biological aging. The least absolute shrinkage and selection operator regression was utilized to identify key VOCs for the weighted quantile sum (WQS) regression, which assessed the association between mixed exposure to VOCs and biological aging. In addition, subgroup analyses were conducted using data from the same database on individuals' daily behaviors, such as physical activity levels, smoking, and alcohol consumption, to explore the influence of daily behaviors on the above associations. RESULTS Logistic regression analysis indicated that exposure to various individual VOCs was associated with biological aging. The WQS results revealed a significant positive association between mixed exposure to VOCs and biological aging (P < 0.001, OR = 1.523). Additionally, we found that participants with drinking, smoking, and lower levels of physical activity were more affected by exposure to individual VOCs. Mixed VOCs exposures differed only between smoking (P < 0.001, OR = 1.422) and non-smoking populations (P = 0.216, OR = 1.158). CONCLUSION VOCs exposure was associated with biological aging, and daily behaviors may influence an individual's susceptibility to such exposure. This discovery provided a new way of thinking about slowing down the aging process and improving overall health.
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Affiliation(s)
- XinYu Shi
- Department of Hygienic Toxicology, School of Public Health, Harbin Medical University, 157 Baojian Road, NanGang District, Harbin, 150081, Heilongjiang Province, PR China
| | - YiNi Wang
- Department of Hygienic Toxicology, School of Public Health, Harbin Medical University, 157 Baojian Road, NanGang District, Harbin, 150081, Heilongjiang Province, PR China
| | - Fei Yang
- Department of Hygienic Toxicology, School of Public Health, Harbin Medical University, 157 Baojian Road, NanGang District, Harbin, 150081, Heilongjiang Province, PR China
| | - YangYang Yi
- Department of Hygienic Toxicology, School of Public Health, Harbin Medical University, 157 Baojian Road, NanGang District, Harbin, 150081, Heilongjiang Province, PR China
| | - QingShan Hu
- Department of Hygienic Toxicology, School of Public Health, Harbin Medical University, 157 Baojian Road, NanGang District, Harbin, 150081, Heilongjiang Province, PR China
| | - Tian Xie
- Department of Hygienic Toxicology, School of Public Health, Harbin Medical University, 157 Baojian Road, NanGang District, Harbin, 150081, Heilongjiang Province, PR China
| | - Bai-Xiang Li
- Department of Hygienic Toxicology, School of Public Health, Harbin Medical University, 157 Baojian Road, NanGang District, Harbin, 150081, Heilongjiang Province, PR China.
| | - Kun Ma
- Department of Hygienic Toxicology, School of Public Health, Harbin Medical University, 157 Baojian Road, NanGang District, Harbin, 150081, Heilongjiang Province, PR China.
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Zeng X, Chen R, Shi D, Zhang X, Su T, Wang Y, Hu Y, He M, Yu H, Shang X. Association of metabolomic aging acceleration and body mass index phenotypes with mortality and obesity-related morbidities. Aging Cell 2025; 24:e14435. [PMID: 39663904 PMCID: PMC11984667 DOI: 10.1111/acel.14435] [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: 08/28/2024] [Revised: 11/13/2024] [Accepted: 11/17/2024] [Indexed: 12/13/2024] Open
Abstract
This study aims to investigate the association between metabolomic aging acceleration and body mass index (BMI) phenotypes with mortality and obesity-related morbidities (ORMs). 85,458 participants were included from the UK Biobank. Metabolomic age was determined using 168 metabolites. The Chronological Age-Adjusted Gap was used to define metabolomically younger (MY) or older (MO) status. BMI categories were defined as normal weight, overweight, and obese. Participants were categorized into MY normal weight (MY-NW, reference), MY overweight (MY-OW), MY obesity (MY-OB), MO normal weight (MO-NW), MO overweight (MO-OW), and MO obesity (MO-OB). Mortality and 43 ORMs were identified through death registries and hospitalization records. Compared with MY-NW phenotype, MO-OB phenotype yielded increased risk of mortality and 32 ORMs, followed by MO-OW with mortality and 27 ORMs, MY-OB with mortality and 26 ORMs, MY-OW with 21 ORMs, and MO-NW with mortality and 14 ORMs. Consistently, MO-OB phenotype showed the highest risk of developing obesity-related multimorbidities, followed by MY-OB phenotype, MO-OW phenotype, MY-OW phenotype, and MO-NW phenotype. Additive interactions were found between metabolomic aging acceleration and obesity on CVD-specific mortality and 10 ORMs. Additionally, individuals with metabolomic aging acceleration had higher mortality and cardiovascular risk, even within the same BMI category. These findings suggest that metabolomic aging acceleration could help stratify mortality and ORMs risk across different BMI categories. Weight management should also be extended to individuals with overweight or obesity even in the absence of accelerated metabolomic aging, as they face increased healthy risk compared with MY-NW individuals. Additionally, delaying metabolic aging acceleration is needed for all metabolomically older groups, including those with normal weight.
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Affiliation(s)
- Xiaomin Zeng
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Ruiye Chen
- The Ophthalmic Epidemiology DepartmentCentre for Eye Research AustraliaMelbourneVictoriaAustralia
- Department of SurgeryUniversity of MelbourneMelbourneVictoriaAustralia
| | - Danli Shi
- School of OptometryThe Hong Kong Polytechnic UniversityKowloonHong Kong
- Research Centre for SHARP Vision (RCSV)The Hong Kong Polytechnic UniversityKowloonHong Kong
| | - Xiayin Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Ting Su
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Yaxin Wang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Yijun Hu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Mingguang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
- The Ophthalmic Epidemiology DepartmentCentre for Eye Research AustraliaMelbourneVictoriaAustralia
- Department of SurgeryUniversity of MelbourneMelbourneVictoriaAustralia
- School of OptometryThe Hong Kong Polytechnic UniversityKowloonHong Kong
- Research Centre for SHARP Vision (RCSV)The Hong Kong Polytechnic UniversityKowloonHong Kong
- Centre for Eye and Vision Research (CEVR)Hong KongHong Kong
| | - Honghua Yu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and ApplicationGuangzhouChina
| | - Xianwen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
- The Ophthalmic Epidemiology DepartmentCentre for Eye Research AustraliaMelbourneVictoriaAustralia
- Department of SurgeryUniversity of MelbourneMelbourneVictoriaAustralia
- School of OptometryThe Hong Kong Polytechnic UniversityKowloonHong Kong
- Research Centre for SHARP Vision (RCSV)The Hong Kong Polytechnic UniversityKowloonHong Kong
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Zhang Y, Tang D, Zhang N, Xiang Y, Hu Y, Qian W, Baima Y, Ding X, Wang Z, Yin J, Xiao X, Zhao X. Lifestyles and their relative contribution to biological aging across multiple-organ systems: Change analysis from the China Multi-Ethnic Cohort study. eLife 2025; 13:RP99924. [PMID: 40052974 PMCID: PMC11888596 DOI: 10.7554/elife.99924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2025] Open
Abstract
Background Biological aging exhibits heterogeneity across multi-organ systems. However, it remains unclear how is lifestyle associated with overall and organ-specific aging and which factors contribute most in Southwest China. Methods This study involved 8396 participants who completed two surveys from the China Multi-Ethnic Cohort (CMEC) study. The healthy lifestyle index (HLI) was developed using five lifestyle factors: smoking, alcohol, diet, exercise, and sleep. The comprehensive and organ-specific biological ages (BAs) were calculated using the Klemera-Doubal method based on longitudinal clinical laboratory measurements, and validation were conducted to select BA reflecting related diseases. Fixed effects model was used to examine the associations between HLI or its components and the acceleration of validated BAs. We further evaluated the relative contribution of lifestyle components to comprehension and organ systems BAs using quantile G-computation. Results About two-thirds of participants changed HLI scores between surveys. After validation, three organ-specific BAs (the cardiopulmonary, metabolic, and liver BAs) were identified as reflective of specific diseases and included in further analyses with the comprehensive BA. The health alterations in HLI showed a protective association with the acceleration of all BAs, with a mean shift of -0.19 (95% CI -0.34, -0.03) in the comprehensive BA acceleration. Diet and smoking were the major contributors to overall negative associations of five lifestyle factors, with the comprehensive BA and metabolic BA accounting for 24% and 55% respectively. Conclusions Healthy lifestyle changes were inversely related to comprehensive and organ-specific biological aging in Southwest China, with diet and smoking contributing most to comprehensive and metabolic BA separately. Our findings highlight the potential of lifestyle interventions to decelerate aging and identify intervention targets to limit organ-specific aging in less-developed regions. Funding This work was primarily supported by the National Natural Science Foundation of China (Grant No. 82273740) and Sichuan Science and Technology Program (Natural Science Foundation of Sichuan Province, Grant No. 2024NSFSC0552). The CMEC study was funded by the National Key Research and Development Program of China (Grant No. 2017YFC0907305, 2017YFC0907300). The sponsors had no role in the design, analysis, interpretation, or writing of this article.
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Affiliation(s)
- Yuan Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan UniversityChengduChina
| | - Dan Tang
- West China School of Public Health and West China Fourth Hospital, Sichuan UniversityChengduChina
- Xiamen Center for Disease Control and PreventionXiamenChina
| | - Ning Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan UniversityChengduChina
| | - Yi Xiang
- West China School of Public Health and West China Fourth Hospital, Sichuan UniversityChengduChina
| | - Yifan Hu
- West China School of Public Health and West China Fourth Hospital, Sichuan UniversityChengduChina
| | - Wen Qian
- Chengdu Center for Disease Control and PreventionChengduChina
| | | | - Xianbin Ding
- Chongqing Municipal Centre for Disease Control and PreventionChongqingChina
| | - Ziyun Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical UniversityGuiyangChina
| | - Jianzhong Yin
- School of Public Health, Kunming Medical UniversityKunmingChina
| | - Xiong Xiao
- West China School of Public Health and West China Fourth Hospital, Sichuan UniversityChengduChina
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan UniversityChengduChina
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9
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Yu B, Sun Y, Wang Y, Wang B, Zhang K, Lu Y, Wang N. Lead exposure and physical frailty in patients with type 2 diabetes mellitus: cross-sectional results from the METAL study. Endocrine 2025; 87:987-996. [PMID: 39527340 DOI: 10.1007/s12020-024-04096-5] [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: 07/03/2024] [Accepted: 11/02/2024] [Indexed: 11/16/2024]
Abstract
PURPOSE Chronic lead exposure continues to be a global environmental concern. Previous studies reported high levels of lead exposure in people with diabetes. Frailty is one of the vital comorbidities of type 2 diabetes mellitus (T2DM); however, researchers have not determined whether lead exposure is a risk factor for frailty in people with T2DM. METHODS This cross-sectional study explored the association between blood lead levels and frailty in a Shanghai diabetic population cohort. Individuals who met ≥3 of 5 predefined criteria (weight loss, exhaustion, low physical activity, slow walking speed and low grip strength) were defined as frailty. RESULTS A total of 884 participants with T2DM (50.6% men, mean age 70.6 ± 7.4 years) were included. Among them, 147 (16.6%) patients were frail, and the median (interquartile range) concentration of blood lead was 16.0 µg/L (12.0-23.0). Compared with the participants within the lowest quartile of serum lead, positive associations of the 2nd and 4th lead quartiles with frailty were observed (OR, 95% CI; 1.70 1.01-2.84 and 1.72 1.03-2.88, respectively) after adjusting for age, sex and body mass index (BMI). After further adjustment for drinking status, smoking status, diet, education, blood pressure, triglycerides and glycosylated hemoglobin, the associations of serum lead with frailty were still significant for the 4th and 2nd-4th quartiles of lead (1.71, 1.01-2.91 and 1.57, 1.02-2.41, respectively). In the subgroup analyses, we found positive associations of serum lead with frailty in elderly individuals (1.77, 1.13-2.79), those with obesity (2.14, 1.02-4.51), those with unhealthy diets (2.52, 1.26-5.04), and those without hyperlipidemia (2.09, 1.12-3.88), although the interactions were not statistically significant (P for interaction all >0.05). CONCLUSION This work provides evidence of an association between chronic lead exposure and physical frailty in a diabetic population in a Chinese cohort. Future prospective and mechanistic studies are warranted to confirm our findings.
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Affiliation(s)
- Bowei Yu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Ying Sun
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Yuying Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Bin Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Kun Zhang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
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Liu X, Wang Y, Huang Y, Lin C, Xu B, Zeng Y, Chen P, Liu X, Huang Y. Association of phenotypic age acceleration with all-cause and cause-specific mortality among U.S. cancer survivors: a retrospective cohort study. BMC Cancer 2025; 25:338. [PMID: 40001013 PMCID: PMC11853897 DOI: 10.1186/s12885-025-13760-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2024] [Accepted: 02/18/2025] [Indexed: 02/27/2025] Open
Abstract
BACKGROUND Cancer survivors may experience accelerated biological aging, increasing their risk of mortality. However, the association between phenotypic age acceleration (PAA) and mortality among cancer survivors remains unclear. This study aimed to evaluate the relationship between PAA and all-cause mortality, cancer-specific mortality, and non-cancer mortality among adult cancer survivors in the United States. METHODS We utilized data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, including 2,643 (unweighted) cancer patients aged ≥ 20 years. Phenotypic age was calculated using ten physiological biomarkers, and the residuals from regressing phenotypic age on chronological age (age acceleration residuals, AAR) were used to determine PAA status. Participants were divided into PAA and without PAA groups based on the sign of the residuals. Weighted Cox proportional hazards regression models were used to assess the association between PAA and mortality, adjusting for demographic characteristics, lifestyle factors, and comorbidities. Restricted cubic spline (RCS) models were employed to explore the dose-response relationship between AAR and mortality. RESULTS Over a median follow-up of 9.16 years, 991 (unweighted) participants died. After adjusting for multiple covariates, PAA was significantly associated with increased risks of all-cause mortality (HR = 2.07; 95% CI: 1.69-2.54), cancer-specific mortality (HR = 2.15; 95% CI: 1.52-3.04), and non-cancer mortality (HR = 2.06; 95% CI: 1.66-2.57). Each one-unit increase in AAR was associated with a 4% increase in the risk of all-cause, cancer-specific, and non-cancer mortality (HR = 1.04; 95% CI: 1.03-1.05). RCS models indicated a linear dose-response relationship between AAR and mortality. CONCLUSIONS Among U.S. adult cancer survivors, PAA is significantly associated with all-cause, cancer-specific, and non-cancer mortality. PAA may serve as an important biomarker for predicting prognosis in cancer survivors.
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Affiliation(s)
- Xiaoqiang Liu
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Yubin Wang
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Yingxuan Huang
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Chanchan Lin
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Boming Xu
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Yilin Zeng
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Peizhong Chen
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China
| | - Xiaobo Liu
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Yisen Huang
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian, China.
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Zhu C, Wang Y, Yang X, Zhao Q, Xu W, Wang X, Liang Y, Chen Q, Fan S. Multi-dimensional evidence from the UK Biobank shows the impact of diet and macronutrient intake on aging. COMMUNICATIONS MEDICINE 2025; 5:36. [PMID: 39905241 PMCID: PMC11794871 DOI: 10.1038/s43856-025-00754-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 01/28/2025] [Indexed: 02/06/2025] Open
Abstract
BACKGROUND The role of diet in aging is crucial, yet research findings on how specific diets influence human aging remain inconsistent. Understanding the relationship between dietary factors and aging could inform interventions to promote healthier aging outcomes. METHODS We analyzed data from the UK Biobank baseline survey and a 24-hour dietary assessment survey to investigate the association between diet and aging. The study examined 18 individual food intakes, 6 dietary patterns, 3 macronutrient intakes, and 3 dietary quality scores. High-dimensional Fixed Effects (HDFE) models were used to assess associations between dietary factors and aging measures, including telomere length, phenotypic age, and brain grey/white matter volumes. Multivariable Mendelian Randomization (MVMR) was employed to explore causal links between macronutrient consumption and aging outcomes. RESULTS Our results show that healthier diets are generally associated with improved aging outcomes from HDFE analyses. Plant-based food consumption correlates with increased telomere length and reduced phenotypic age, while animal-based food intake is linked to adverse aging effects. MVMR results confirm the causal benefits of carbohydrate intake, including reductions in phenotypic age (β = -0.0025; 95% CI = [-0.0047, -0.0003]; p = 0.0253) and increases in whole-brain grey matter volume (β = 0.0262; 95% CI = [0.007, 0.046]; p = 0.0087). The latter association remains significant after multiple testing correction. CONCLUSIONS This study underscores the significant role of diet in biological aging and provides robust evidence for the benefits of carbohydrate intake in promoting healthier aging. These findings highlight the potential of dietary interventions to improve aging-related outcomes.
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Affiliation(s)
- Chen Zhu
- Academy of Global Food Economics and Policy (AGFEP), China Agricultural University, Beijing, China
- College of Economics and Management, China Agricultural University, Beijing, China
- Beijing Food Safety Policy and Strategy Research Base, China Agricultural University, Beijing, China
| | - Youfa Wang
- School of Public Health, Xi'an Jiaotong University, Xi'an, China
| | | | - Qiran Zhao
- Academy of Global Food Economics and Policy (AGFEP), China Agricultural University, Beijing, China
- College of Economics and Management, China Agricultural University, Beijing, China
| | - Wenyan Xu
- College of Economics and Management, China Agricultural University, Beijing, China
| | - Xiaolu Wang
- College of Economics and Management, China Agricultural University, Beijing, China
- Stanford Center on China's Economy and Institutions, Stanford University, Stanford, USA
| | - Yanjun Liang
- Nanjing Starhomes Health Management and Consulting Co. Ltd., Nanjing, China
- Jiangsu Minsheng Vocational Training School, Nanjing, China
| | - Qihui Chen
- Beijing Food Safety Policy and Strategy Research Base, China Agricultural University, Beijing, China.
| | - Shenggen Fan
- Academy of Global Food Economics and Policy (AGFEP), China Agricultural University, Beijing, China.
- College of Economics and Management, China Agricultural University, Beijing, China.
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12
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Li D, Guo X, Zhang W, Li W, Zhang T, Liu Z, Su M, Li Z. The association between childhood hunger experiences and health in middle and old age: a longitudinal study over 10 years. BMC Public Health 2025; 25:193. [PMID: 39819302 PMCID: PMC11740438 DOI: 10.1186/s12889-025-21345-y] [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: 09/04/2023] [Accepted: 01/06/2025] [Indexed: 01/19/2025] Open
Abstract
BACKGROUND A significant relationship is present between childhood hunger experiences (CHEs) and health, but explorations of the longitudinal persistence of this relationship and its mediating mechanisms are still lacking. This study aims to evaluate the effects of CHEs on health in middle and old age and determine the underlying mechanisms. METHODS Using data from the five 2011-2020 China Health and Retirement Longitudinal Study (CHARLS) and the 2014 China Life History Survey Questionnaire, a sample of 9,909 individuals aged 45 years and older who participated in all six surveys was obtained. We conducted panel analyses, used Probit and ordinary least squares regression models to analyze the effects of CHEs on the health in middle and old age, and used stepwise regression tests to analyze the mediators of the relationship. RESULTS CHEs significantly predicted self-assessment of health (β = -0.18; 95% CI: -0.23, -0.12), the probability of receiving medical treatment (β = -0.09; 95% CI: -0.13, -0.05), depression (β = -0.30; 95% CI: -0.35, -0.25), memory (β = -0.13; 95% CI: -0.18, -0.07), and cognitive function (β = -0.13; 95% CI: -0.26, -0.00). The effects of CHEs showed an aggravating trend regarding depression and cognitive function, and a mitigating trend regarding self-assessed health and memory. Smoking, exercising, and sleep duration were revealed as transmitting factors of the effects of CHEs on health. CONCLUSION CHEs had a negative impact on the health of middle and old age. While their effects on depression and cognitive function gradually worsen, the effects on self-assessed health and memory were mitigated over time. Lifestyle factors such as smoking, exercising, and sleep duration were transmitting factors of the health effects of CHEs. Thus, the health status of individuals who experience childhood hunger warrants attention.
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Affiliation(s)
- Dongxu Li
- School of Public Health, Jining Medical University, Hehua Road, Taibai Lake New District, Jining, 272067, Shandong, China
| | - Xi Guo
- School of Economics and Management, Inner Mongolia University of Technology, Hohhot, China
| | - Weile Zhang
- School of Public Management, Inner Mongolia University, Zhaojun Road, Yuquan District, Hohhot, 010070, Inner Mongolia, China
| | - Wenhui Li
- School of Public Management, Inner Mongolia University, Zhaojun Road, Yuquan District, Hohhot, 010070, Inner Mongolia, China
| | - Tianjiao Zhang
- School of Public Management, Inner Mongolia University, Zhaojun Road, Yuquan District, Hohhot, 010070, Inner Mongolia, China
| | - Zelin Liu
- School of Public Management, Inner Mongolia University, Zhaojun Road, Yuquan District, Hohhot, 010070, Inner Mongolia, China
| | - Min Su
- School of Public Management, Inner Mongolia University, Zhaojun Road, Yuquan District, Hohhot, 010070, Inner Mongolia, China.
| | - Zhengrong Li
- School of Public Management, Inner Mongolia University, Zhaojun Road, Yuquan District, Hohhot, 010070, Inner Mongolia, China.
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13
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Xia T, Yuan Q, Zhang Y, Shan G. The associations between the energy and timing of sugar-sweetened beverage intake and phenotypic age acceleration in U.S. adults: a cross-sectional survey of NHANES 2007-2010. BMC Public Health 2025; 25:88. [PMID: 39780125 PMCID: PMC11707922 DOI: 10.1186/s12889-024-21249-3] [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: 11/12/2024] [Accepted: 12/30/2024] [Indexed: 01/11/2025] Open
Abstract
OBJECTIVES The relationship between sugar-sweetened beverage (SSB) intake and phenotypic age acceleration (PhenoAgeAccel) is unclear. The aim of this study was to explore the associations between the energy and timing of SSB intake and PhenoAgeAccel in adults. METHODS A cross-sectional analysis was conducted using data from the National Health and Nutrition Examination Survey (NHANES) 2007-2010, which involved U.S. adults aged 20 to 79 years. The assessment and estimation of SSB intake were conducted through 24-hour dietary recall interviews, categorizing participants into three groups: non-intake, low moderate-intake, and moderate-high-intake. Furthermore, SSB consumers were divided into three time intervals based on intake timing: dawn-to-forenoon (5:00 a.m. to 11:59 a.m.), noon-to-afternoon (12:00 p.m. to 17:59 p.m.), and dusk-to-night (18:00 p.m. to 4:59 a.m.). Multivariable linear regression models were employed to evaluate the associations between SSB intake (energy and timing) and PhenoAgeAccel. Additionally, stratified analyses and interaction analyses were conducted. Furthermore, obesity was assessed via two distinct metrics: the body roundness index (BRI) and the body mass index (BMI). Mediation analysis was conducted to investigate the mediating effect of obesity on the relationship between the energy of SSB intake and PhenoAgeAccel. RESULTS After controlling for covariates, SSB intake (per 100 kcal/day) was positively correlated with PhenoAgeAccel (β = 0.179, 95% confidence interval [CI]: 0.086-0.271). The moderate-high-intake group presented a significantly greater PhenoAgeAccel than the non-intake group (β = 1.023, 95% CI: 0.414-1.632). This relationship remained stable across stratified analyses. Compared with those who abstained from SSB, those who consumed SSB during the dusk-to-night period exhibited notably elevated PhenoAgeAccel (β = 0.915, 95% CI: 0.316-1.514). A significant interactive effect of smoking on the SSB intake timing-PhenoAgeAccel association was observed (P for interaction = 0.002). Mediation analysis revealed that both BRI and BMI significantly mediated the relationship between energy intake from SSB and PhenoAgeAccel, with mediation proportions of 16.29% and 16.21%, respectively. CONCLUSION Our study revealed a positive correlation between SSB energy intake and PhenoAgeAccel, which may be partially mediated by obesity. Moreover, consuming SSB during the dusk-to-night period may increase PhenoAgeAccel.
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Affiliation(s)
- Teng Xia
- Department of Thoracic Surgery, Nanjing Gaochun People's Hospital (The Gaochun Affiliated Hospital of Jiangsu University), Nanjing, Jiangsu, 211300, China
| | - Qian Yuan
- Department of Thoracic Surgery, Nanjing Gaochun People's Hospital (The Gaochun Affiliated Hospital of Jiangsu University), Nanjing, Jiangsu, 211300, China
| | - Yao Zhang
- Department of Thoracic Surgery, Nanjing Gaochun People's Hospital (The Gaochun Affiliated Hospital of Jiangsu University), Nanjing, Jiangsu, 211300, China
| | - Guangmei Shan
- Department of Clinical Nutrition, Nanjing Gaochun People's Hospital (The Gaochun Affiliated Hospital of Jiangsu University), Nanjing, Jiangsu, 211300, China.
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14
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Ferrero-Hernández P, O'Donovan G, Petermann-Rocha F, Christofaro DGD, Cristi-Montero C, Marques A, Nascimento MDM, Farías-Valenzuela C, Rezende LFM, Ferrari G. Association between lifestyle risk factors and mortality in the Mexico City prospective study. Sci Rep 2025; 15:145. [PMID: 39747527 PMCID: PMC11696717 DOI: 10.1038/s41598-024-84104-w] [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: 07/19/2024] [Accepted: 12/19/2024] [Indexed: 01/04/2025] Open
Abstract
Unhealthy lifestyles risk factors, such as smoking, alcohol consumption, physical inactivity, poor diet, and obesity, have been associated with a higher risk of all-cause and cause-specific mortality. However, composite score of these unhealthy behaviours has not been considered, particularly in Latin American populations. Herein, we examined the association of lifestyle risk factors score with all-cause and cause-specific mortality in Mexican adults. A total of 159,517 adults from the Mexico City Prospective Study (MCPS) were included. Data on sociodemographic, lifestyle risk factors and medical histories was collected through a self-reported baseline questionnaire in a census-style door-to-door interviews. Lifestyle risk factors assessment was based on five modifiable lifestyle risk factors and their respective cut-off points according to current health recommendations, including obesity, physical inactivity, tobacco, alcohol consumption and fruits and vegetables intake. Multivariable Cox regression models were used to estimate the associations of lifestyle risk factor score (ranging from 0 to 5) with all-cause and cause-specific mortality (cardiovascular disease, renal or hepatobiliary diseases, diabetes, respiratory diseases, cancer and all-cause mortality). We excluded the first 2, 5, 10, and 15 years of follow-up to account for reverse causation bias. We found a high prevalence (77%) of Mexican adults, with two or more lifestyle risk factors. Hazard ratio for respiratory diseases and renal or hepatobiliary diseases were 1.86 (95%CI: 1.45-2.39) and 2.00 (95%CI: 1.60-2.52) comparing participants with 4-5 lifestyle risk factors vs. those with none. For all-cause mortality, participants with 4-5 lifestyle risk factors had a 49% (HR: 1.49; 95%CI: 1.03-2.16) higher risk as compared to participants with none. The magnitude of the associations increased as the exclusion of follow-up time increased after 2, 5, 10 and 15 years. There was a positive association between the number of lifestyle risk factors and all-cause and cause-specific mortality, showing the highest rate of respiratory, renal or hepatobiliary and all-cause mortality among participants with 4-5 lifestyle risk factors. After accounting for reverse causation, associations were stronger.
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Affiliation(s)
- Paloma Ferrero-Hernández
- Escuela de Ciencias de la Actividad Física, el Deporte y la Salud, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Gary O'Donovan
- Facultad de Medicina, Universidad de los Andes, Bogotá, Colombia
| | - Fanny Petermann-Rocha
- Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile
| | - Diego G D Christofaro
- Graduate Program in Movement Sciences, Physical Education Department, School of Technology and Sciences, São Paulo State University (Unesp), São Paulo, Brazil
| | - Carlos Cristi-Montero
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | - Adilson Marques
- CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Lisboa, Portugal
- ISAMB, Universidade de Lisboa, Lisboa, Portugal
| | | | | | - Leandro F M Rezende
- Departamento de Medicina Preventiva, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Gerson Ferrari
- Escuela de Ciencias de la Actividad Física, el Deporte y la Salud, Universidad de Santiago de Chile (USACH), Santiago, Chile.
- Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Av. Pedro de Valdivia 425, Providencia, Chile.
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15
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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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16
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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 2025; 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] [MESH Headings] [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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Cui C, Liu L, Li H, Qi Y, Song J, Han N, Wang Z, Shang X, Sheng C, Balmer L, Wu Z. Childhood Exposure to Interparental Physical Violence and Adult Cardiovascular Disease. JAMA Netw Open 2024; 7:e2451806. [PMID: 39705033 DOI: 10.1001/jamanetworkopen.2024.51806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2024] Open
Abstract
Importance Childhood adverse experiences have been linked with long-term risk of cardiovascular disease (CVD), yet the transgenerational associations between interparental behaviors and CVD remain poorly understood. Objectives To explore the association between exposure to childhood interparental physical violence and the subsequent risk of CVD and to examine whether the association is modified by adult depressive symptoms. Design, Setting, and Participants This population-based cohort study included data from the China Health and Retirement Longitudinal Study (CHARLS), an ongoing study recruiting individuals aged 45 years or older, dated between June 1, 2011, and December 31, 2020, with a follow-up duration of 9 years. The data were analyzed from October 1, 2023, to May 10, 2024. Exposures An early life exposure questionnaire with information on the frequency of witnessing interparental physical violence was administered. Depressive symptoms were assessed via the validated 10-item Center for Epidemiologic Studies Depression Scale. Main Outcomes and Measures The outcome measures included self-reported physician-diagnosed heart disease (defined as myocardial infarction, angina, coronary heart disease, heart failure, or other heart problems) and stroke. Multivariate Cox proportional hazards regression models using attained age as the time scale were conducted. Results Of 10 424 participants, the mean (SD) age was 58.1 (9.0) years, 5332 (51.2%) were female, and 872 (8.4%) reported exposure to interparental physical violence. Exposure to childhood interparental physical violence was associated with increased risks of adult-onset CVD (hazard ratio [HR], 1.36; 95% CI, 1.20-1.55), heart disease (HR, 1.36; 95% CI, 1.17-1.57), and stroke (HR, 1.28; 95% CI, 1.03-1.61). Participants exposed to childhood interparental physical violence had a greater prevalence of depressive symptoms (2371 of 9335 participants [25.4%]), which mediated 11.0% of the association between childhood interparental physical violence and CVD (HR, 1.26; 95% CI, 1.09-1.45). Conclusions and Relevance In this cohort study, childhood exposure to interparental physical violence was associated with a higher risk of adult-onset CVD, which was partially mediated by adult depressive symptoms. The findings emphasize the need for comprehensive strategies and policy efforts that address the social determinants of interparental violence and provide household education opportunities.
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Affiliation(s)
- Cancan Cui
- Department of Radiology, China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Lin Liu
- Department of Radiology, China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Haibin Li
- Department of Cardiac Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Yitian Qi
- Department of Radiology, China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Jiayin Song
- Department of Radiology, China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Ning Han
- Department of Radiology, China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Zhijia Wang
- Department of Radiology, China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Xinyun Shang
- Department of Radiology, China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Chen Sheng
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Lois Balmer
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Zhiyuan Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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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] [MESH Headings] [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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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] [MESH Headings] [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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Cardoso BR, Liu J, Machado P, Kwon D, Belsky DW, Martinez Steele E. Association between ultra-processed food intake and biological ageing in US adults: findings from National Health and Nutrition Examination Survey (NHANES) 2003-2010. Age Ageing 2024; 53:afae268. [PMID: 39657624 PMCID: PMC11631094 DOI: 10.1093/ageing/afae268] [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: 07/10/2024] [Indexed: 12/12/2024] Open
Abstract
BACKGROUND The association between ultra-processed food (UPF) intake and markers of biological ageing has been scarcely investigated, despite the evident adverse health effects associated with UPF. This study aimed to test the association between UPF intake and biological ageing, and evaluate how much of this association is accounted for by overall diet quality. METHODS This cross-sectional study assessed 16 055 participants aged 20-79 years (51% women, 46 ± 0.3 years) from the National Health and Nutrition Examination Survey (NHANES) 2003-2010. Dietary UPF intake was assessed using the Nova system. Values were expressed as % of total energy intake and were denominated as a continuous variable and in quintiles. Diet quality was assessed with the American Heart Association 2020 and the Healthy Eating Index 2015. Biological ageing was assessed using the PhenoAge algorithm. RESULTS For each 10% of energy intake accounted for by UPF, participants were 0.21 (95%CI 0.16-0.26) years biologically older in terms of PhenoAge. As compared to participants in the lowest UPF quintile (≤39%), those in the highest UPF quintile (68-100%) were 0.86 (95% CI 0.55, 1.16) years older (P-for-trend across quintiles ≤0.001). Adherence to a healthy diet moderately attenuated the relationship between UPF and PhenoAge (adjusted β = 0.14 per 10% increment of UPF). CONCLUSIONS Adults with higher UPF tended to be biologically older. This association is partly independent of diet quality, suggesting that food processing may contribute to biological ageing acceleration. Our findings point to a compelling reason to target UPF consumption to promote healthier ageing.
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Affiliation(s)
- Barbara Rita Cardoso
- Department of Nutrition, Dietetics and Food, Monash University, Notting Hill, VIC 3168, Australia
- Victorian Heart Institute, Monash University, Clayton, VIC 3168, Australia
| | - Junxiu Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Priscila Machado
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC, Australia
| | - Dayoon Kwon
- Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | - Daniel W Belsky
- Robert N Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Euridice Martinez Steele
- Center for Epidemiological Studies in Health and Nutrition, University of Sao Paulo, Sao Paulo, Brazil
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Künzi M, Gheorghe DA, Gallacher J, Bauermeister S. The impact of early adversity on later life health, lifestyle, and cognition. BMC Public Health 2024; 24:3294. [PMID: 39604955 PMCID: PMC11600748 DOI: 10.1186/s12889-024-20768-3] [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: 05/13/2024] [Accepted: 11/15/2024] [Indexed: 11/29/2024] Open
Abstract
BACKGROUND Early life adversity has been shown to have long-lasting detrimental effects on a variety of biopsychosocial outcomes. Early adversity and its consequences may directly or indirectly affect cognitive aging and increase the risk of developing dementia in older age. Investigating the biopsychosocial outcomes associated with early adverse experiences is essential to inform health policies and promote healthy cognitive development across the life course. METHODS The aim of this study is to investigate the effect of early adversity (i.e., abuse and deprivation) on selected outcomes (i.e., physical and mental health, lifestyle, and cognition) in two UK cohorts (the English Longitudinal Study of Ageing (ELSA), N = 12,653, Mdnage = 66, SDage = 9.58; UK Biobank, N = 502,360, Mdnage = 58, SDage = 8.09). In both cohorts, adversities were self-reported retrospectively, and only those adversity types assessed in both cohorts were utilized. A post-hoc analysis was performed to examine the role of education as a mediator of the association between early adversity and the selected outcomes. RESULTS Most of the results show that early adversity is negatively associated with health (both physical and mental), lifestyle, and cognition while also highlighting the important mediating role of education. However, differences exist according to the specific adversity experienced and the cohort studied. CONCLUSIONS The results found bring into attention the complex associations between early adversity and multiple later life outcomes, and suggest that various mechanisms might be at play. Furthermore, the findings highlight the importance of multi-cohort comparisons for the generalization of the results.
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Affiliation(s)
- Morgane Künzi
- Dementias Platform UK, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK.
| | - D A Gheorghe
- Department of Experimental and Theoretical Neuroscience, Transylvanian Institute of Neuroscience, Cluj-Napoca, Romania
| | - J Gallacher
- Dementias Platform UK, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
| | - S Bauermeister
- Dementias Platform UK, Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
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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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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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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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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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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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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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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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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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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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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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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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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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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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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: 3] [Impact Index Per Article: 3.0] [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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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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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 dysregulation among the middle-aged and older population in Zhoushan city of Zhejiang province]. Zhejiang Da Xue Xue Bao Yi Xue Ban 2024; 54:39-48. [PMID: 39238396 PMCID: PMC11956862 DOI: 10.3724/zdxbyxb-2024-0168] [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: 04/30/2024] [Accepted: 07/03/2024] [Indexed: 09/07/2024]
Abstract
OBJECTIVES To analyze the associations between factors in life course and physiological dysregulation in the middle-aged and elderly population in 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 the participants were documented and blood samples were collected. The status of aging was evaluated by physiological dysregulation calculation model previously developed by the authors. 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 clustering analysis were used to classify subgroups. General linear regression model was used to assess associations between the life course subgroups and physiological dysregulation, and the 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 dysregulation 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 dysregulation. 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, all P<0.05). In addition, life course subgroups and key factor adversity experience in adulthood were positively associated with psychological problems (OR=2.14-4.68, all P<0.05). Unhealthy lifestyle scores showed a marginal significant association with physiological dysregulation (β=0.03, P=0.055). However, no significant association was found between psychological problems and physiological dysregulation (β=0.03, P=0.748). The results of the mediation analysis model suggested that unhealthy lifestyles partially mediated the associations between the life course subgroups, adversity experience in adulthood and physiological dysregulation, with the proportions mediating ranging from 3.9%-6.8%. CONCLUSIONS Multiple life course factors contribute about 6.63% of the variance in physiological dysregulation 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, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China.
- Zhejiang Key Laboratory of Intelligent Preventive Medicine, Hangzhou 310058, China.
| | - Cedric Zhang Bo Lua
- Center for Clinical Big Data and Analytics, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China.
- Zhejiang Key Laboratory of Intelligent Preventive Medicine, Hangzhou 310058, China.
| | - Jia Li
- Center for Clinical Big Data and Analytics, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China.
- Zhejiang Key Laboratory of Intelligent Preventive Medicine, Hangzhou 310058, China.
| | - Wei Shao
- Department of Endocrinology, Zhoushan Putuo District People's Hospital, Zhoushan 316100, Zhejiang Province, China
| | - Chengguo Liu
- Department of Endocrinology, Zhoushan Putuo District People's Hospital, Zhoushan 316100, Zhejiang Province, 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, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
- Zhejiang 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, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, China.
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China.
- Zhejiang Key Laboratory of Intelligent Preventive Medicine, Hangzhou 310058, China.
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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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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: 1.5] [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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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: 10] [Impact Index Per Article: 5.0] [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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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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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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49
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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: 0.5] [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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50
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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: 13] [Impact Index Per Article: 6.5] [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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