Please use this identifier to cite or link to this item: https://doi.org/10.1159/000511211
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dc.titleSocio-Environmental, Lifestyle, Behavioural, and Psychological Determinants of Biological Ageing: The Singapore Longitudinal Ageing Study
dc.contributor.authorNg, Tze Pin
dc.contributor.authorZhong, Xin
dc.contributor.authorGao, Qi
dc.contributor.authorGwee, Xinyi
dc.contributor.authorChua, Denise Qian Ling
dc.contributor.authorLarbi, Anis
dc.date.accessioned2021-04-12T01:04:34Z
dc.date.available2021-04-12T01:04:34Z
dc.date.issued2020-11-16
dc.identifier.citationNg, Tze Pin, Zhong, Xin, Gao, Qi, Gwee, Xinyi, Chua, Denise Qian Ling, Larbi, Anis (2020-11-16). Socio-Environmental, Lifestyle, Behavioural, and Psychological Determinants of Biological Ageing: The Singapore Longitudinal Ageing Study. Gerontology 66 (6) : 603–613. ScholarBank@NUS Repository. https://doi.org/10.1159/000511211
dc.identifier.issn0304324X
dc.identifier.issn14230003
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/189108
dc.description.abstractIntroduction: The identification of modifiable health span-promoting factors is a public health priority. Objective: To explore the socio-environmental, lifestyle, behavioural, and psychological determinants of a clinical phenotypic measure of biological ageing in the Singapore Longitudinal Ageing Study (SLAS) cohort. Methods: Using cross-sectional data on 2,844 SLAS-2 adults with a chronological age (CA) ?55 years, we estimated biological age (BA) using a validated panel of clinical, biochemical, physiological, and functional indicators (8 in men and 10 in women) and calculated the difference between BA and CA (BA – CA in years). Potential determinants included education, housing status, loss of a spouse, living alone, lifestyle and health activity, smoking, alcohol consumption, nutritional risks, consumption of milk, soy, fruit, vegetables, coffee and tea, sleep parameters, and life satisfaction. Results: The mean CA was 67.0 (standard deviation [SD] 7.9; range 55–94) years. The estimated BA varied more widely (SD 8.9 years; range 47.5–119.9 years), and BA – CA ranged from –11.3 to 30.0 years. In stepwise selection regression analyses, multiple significant independent determinants in a final model were larger for private housing, being single/divorced/widowed, productivity, cognitive and leisure time activity scores, 10 h/week of moderate-to-vigorous physical activity, unintended loss of weight, life satisfaction, and daily consumption of fruits 1–2 or ?3 servings and Chinese tea 1–2 or ?3 cups daily, together explaining 16% of BA – CA variance in men and 14% in women. Associated BA – CA estimates were highest in men with high-end housing status (–1.8 years, effect size 0.015) and unintended weight loss (1.5 years, effect size 0.017). Conclusion: We identified determinants of biological ageing which can promote health span.
dc.publisherS. Karger AG
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.sourceKarger 2020
dc.subjectHealth span
dc.subjectPromoting factors
dc.subjectPhysical function
dc.subjectMental and cognitive activity
dc.subjectNutrition manuscript length
dc.typeArticle
dc.contributor.departmentDEPT OF PSYCHOLOGICAL MEDICINE
dc.description.doi10.1159/000511211
dc.description.sourcetitleGerontology
dc.description.volume66
dc.description.issue6
dc.description.page603–613
dc.published.statePublished
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