A scoping review on biopsychosocial predictors of mental health among older adults
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Published version
Author(s)
Murniati, Nia
Aufa, Badra Al
Kusuma, Dian
Kamso, Sudijanto
Type
Journal Article
Abstract
This review aims to map the available evidence on biopsychosocial predictors of elderly mental health. The articles were independently screened in three selected databases, namely Pubmed, Proquest and Google Scholar. The stages consist of identifying the research questions, seeking and selecting relevant evidence, mapping data, and concluding and reporting results. The PRISMA flowchart was used to show the PEOS evidence search flow. A total of 23,722 articles were obtained from all databases during the initial search, where 458 titles fulfilled the eligibility criteria at the title screening stage. Furthermore, 383 articles passed through abstract screening, where 75 met the inclusion criteria and were included for full-text screening. Based on the full-text screening stage, 28 articles were excluded and the remaining 47 articles that matched the search process were included for data extraction. This review creates biopsychosocial variables related to the mental health of the elderly. The biological factors consist of age, biomarkers, female, health conditions, chronic diseases, and physical function. Variables related to psychological factors are affect, personality traits, and subjective well-being. Meanwhile, social factors include smoking, sleep quality, physical activity, daily living, social support, marital status, loneliness, religiosity, spirituality, and early life conditions.
Date Acceptance
2022-08-27
Citation
International Journal of Environmental Research and Public Health, 19 (17), pp.10909-10909
ISSN
1660-4601
Publisher
MDPI AG
Start Page
10909
End Page
10909
Journal / Book Title
International Journal of Environmental Research and Public Health
Volume
19
Issue
17
Copyright Statement
© 2022 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
Identifier
https://www.mdpi.com/1660-4601/19/17/10909
Subjects
Toxicology
Publication Status
Published online
OA Location
https://www.mdpi.com/1660-4601/19/17/10909
Date Publish Online
2022-09-01