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Chen S, Chen S, Hanewald K, Si Y, Bateman H, Li B, Xu X, Samtani S, Wu C, Brodaty H. Social Environment, Lifestyle, and Genetic Predisposition With Dementia Risk: A Long-Term Longitudinal Study Among Older Adults. J Gerontol A Biol Sci Med Sci 2024; 79:glae128. [PMID: 38733088 DOI: 10.1093/gerona/glae128] [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: 11/27/2023] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND The role of social environment, that is, the aggregate effect of social determinants of health (SDOHs), in determining dementia is unclear. METHODS We developed a novel polysocial risk score for dementia based on 19 SDOH among 5 199 participants in the Health and Retirement Study, United States, to measure the social environmental risk. We used a survival analysis approach to assess the association between social environment and dementia risk in 2006-2020. We further studied the interaction between social environment and lifestyles, and explored racial disparities. RESULTS The study participants (mean age = 73.4 years, SD = 8.3; 58.0% female; 11.6% African American) were followed up for an average of 6.2 years, and 1 089 participants developed dementia. Every 1-point increase in the polysocial risk score (ranging from 0 to 10) was associated with a 21.6% higher risk (adjusted hazard ratio [aHR] = 1.21, 95% confidence intervals [95% CI] = 1.15-1.26) of developing dementia, other things being equal. Among participants with high social environmental risk, regular exercise and moderate drinking were associated with a 43%-60% lower risk of developing dementia (p < .001). In addition, African Americans were 1.3 times (aHR = 2.28, 95% CI = 1.96-2.66) more likely to develop dementia than European Americans, other things being equal. CONCLUSION An adverse social environment is linked to higher dementia risk, but healthy lifestyles can partially offset the increased social environmental risk. The polysocial risk score can complement the existing risk tools to identify high-risk older populations, and guide the design of targeted social environmental interventions, particularly focusing on improving the companionship of the older people, to prevent dementia.
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Affiliation(s)
- Shu Chen
- School of Risk and Actuarial Studies, UNSW Business School, UNSW Sydney, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence in Population Ageing Research (CEPAR), Kensington, New South Wales, Australia
| | - Shanquan Chen
- International Centre for Evidence in Disability, London School of Hygiene and Tropical Medicine, London, UK
| | - Katja Hanewald
- School of Risk and Actuarial Studies, UNSW Business School, UNSW Sydney, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence in Population Ageing Research (CEPAR), Kensington, New South Wales, Australia
| | - Yafei Si
- School of Risk and Actuarial Studies, UNSW Business School, UNSW Sydney, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence in Population Ageing Research (CEPAR), Kensington, New South Wales, Australia
| | - Hazel Bateman
- School of Risk and Actuarial Studies, UNSW Business School, UNSW Sydney, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence in Population Ageing Research (CEPAR), Kensington, New South Wales, Australia
| | - Bingqin Li
- Social Policy Research Centre, UNSW Sydney, Sydney, New South Wales, Australia
| | - Xiaolin Xu
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China
- Centre of Clinical Big Data and Analytics, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Suraj Samtani
- Centre for Healthy Brain Ageing (CHeBA), School of Clinical Medicine, Discipline of Psychiatry and Mental Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), School of Clinical Medicine, Discipline of Psychiatry and Mental Health, Faculty of Medicine and Health, UNSW Sydney, Sydney, New South Wales, Australia
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Tang J, Ma Y, Hoogendijk EO, Chen J, Yue J, Wu C. Associations between healthy lifestyle and mortality across different social environments: a study among adults with frailty from the UK Biobank. Eur J Public Health 2024; 34:218-224. [PMID: 38288504 PMCID: PMC10990525 DOI: 10.1093/eurpub/ckae003] [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] [Indexed: 04/05/2024] Open
Abstract
BACKGROUND Among people living with frailty, adherence to a healthy lifestyle may be a low-cost and effective strategy to decrease frailty-induced health risks across different social environments. METHODS We included 15 594 frail participants at baseline from the UK Biobank study. We used four lifestyle factors to create a composite healthy lifestyle score and 17 social factors to construct a polysocial score. We classified the lifestyle score into two levels (unhealthy and healthy) and the polysocial score into three levels (low, intermediate and high). We used Cox regression to determine the association of each lifestyle factor and lifestyle score with all-cause mortality, respectively. We also examined the associations across polysocial score categories. We evaluated the joint association of the lifestyle score and the categorical polysocial score with all-cause mortality. RESULTS During up to 14.41 follow-up years, we documented 3098 all-cause deaths. After multivariable adjustment, we found a significant association between not smoking and adequate physical activity with all-cause mortality across polysocial score categories, respectively. We also found a significant association between a healthy diet and all-cause mortality among frail participants living in an intermediate social environment. A healthy lifestyle was associated with a lower all-cause mortality risk across polysocial score categories, especially among those with a low polysocial score. CONCLUSIONS Adherence to a healthy lifestyle, particularly not smoking, adequate physical activity and a healthy diet, may provide a feasible solution to decreasing mortality risk among frail adults across different social environments, especially for those in the socially disadvantaged group.
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Affiliation(s)
- Junhan Tang
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
| | - Yanan Ma
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang, Liaoning, China
| | - Emiel O Hoogendijk
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC—location VU University Medical Center, Amsterdam, The Netherlands
| | - Jie Chen
- Center for Global Health, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jirong Yue
- Department of Geriatrics and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
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Norland K, Schaid DJ, Naderian M, Na J, Kullo IJ. Joint Association of Polygenic Risk and Social Determinants of Health with Coronary Heart Disease in the United States. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.10.24301105. [PMID: 38260263 PMCID: PMC10802647 DOI: 10.1101/2024.01.10.24301105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Background The joint effects of polygenic risk and social determinants of health (SDOH) on coronary heart disease (CHD) in the United States are unknown. Methods In 67,256 All of Us (AoU) participants with available SDOH data, we ascertained self-reported race/ethnicity and calculated a polygenic risk score for CHD (PRS CHD ). We used 90 SDOH survey questions to develop an SDOH score for CHD (SDOH CHD ). We assessed the distribution of SDOH CHD across self-reported races and US states. We tested the joint association of SDOH CHD and PRS CHD with CHD in regression models that included clinical risk factors. Results SDOH CHD was highest in self-reported black and Hispanic people. Self-reporting as black was associated with higher odds of CHD but not after adjustment for SDOH CHD . Median SDOH CHD values varied by US state and were associated with heart disease mortality. A 1-SD increase in SDOH CHD was associated with CHD (OR=1.36; 95% CI, 1.29 to 1.46) and incident CHD (HR=1.73; 95% CI, 1.27 to 2.35) in models that included PRS CHD and clinical risk factors. Among people in the top 20% of PRS CHD , CHD prevalence was 4.8% and 7.8% in the bottom and top 20% of SDOH CHD , respectively. Conclusions Increased odds of CHD in self-reported black people are likely due to higher SDOH burden. SDOH and PRS were independently associated with CHD in the US. Our findings emphasize the need to consider both PRS and SDOH for equitable disease risk assessment.
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Tian R, He Q, Yang Y, Nong X, Wang S. Associations of polysocial risk score, lifestyle and genetic factors with incident psoriasis: a larger-scale prospective cohort study. Public Health 2023; 225:320-326. [PMID: 37972495 DOI: 10.1016/j.puhe.2023.10.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 10/13/2023] [Accepted: 10/17/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVES The impact of polysocial risk score (PsRS), a composite measure of multiple social risk factors, on the development of psoriasis remains unclear. Moreover, the potential modifying effects of lifestyle and genetic susceptibility on the relationship between PsRS and psoriasis risk require further exploration. STUDY DESIGN This was a prospective cohort study conducted among UK Biobank. METHODS In this study, we analyzed 331,631 participants enrolled in the UK Biobank cohort. To derive the PsRS, we utilized a summative strategy, amalgamating six social determinants of health derived from three domains: socio-economic status, psychosocial factors, and neighborhood and living environment consistently linked to incident psoriasis. Cox proportional hazard models were used to assess the associations between PsRS and psoriasis incidence. Furthermore, we constructed a lifestyle score and a genetic risk score to explore the potential modifying effects of these factors on the relationship between PsRS and psoriasis risk. RESULTS Compared with individuals with a low PsRS (≤1), those with intermediate PsRS (2-4) and high PsRS (≥5) had 1.20 (95% confidence interval [CI], 1.06-1.36) and 1.53 (95% CI, 1.31-1.78) times higher risks of developing psoriasis, respectively. Our findings revealed an additive interaction between PsRS and genetic susceptibility. Moreover, it was found that individuals with high PsRS and unhealthier lifestyles had a 2.60 times higher risk of developing psoriasis than those with lower PsRS and healthier ones. CONCLUSIONS Our study results imply that an elevated PsRS is linked to a heightened risk of psoriasis, which is further influenced by genetic factors. Our results also indicate that greater social vulnerability and unhealthier lifestyle may synergistically contribute to the additional risk of psoriasis.
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Affiliation(s)
- Rongqian Tian
- Department of Dermatology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Qida He
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou City, Jiangsu Province, China
| | - Yi Yang
- Department of Health Statistics, School of Public Health, Weifang Medical University, Weifang, Shandong, China
| | - Xiang Nong
- Department of Dermatology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
| | - Suzhen Wang
- Department of Health Statistics, School of Public Health, Weifang Medical University, Weifang, Shandong, China.
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