Background: Health behavior, as an intervention led by nursing staff, plays a pivotal role in enhancing the health of older adults. However, existing evidence has predominantly focused on isolated aspects (e.g., smoking, alcohol consumption, diet, or exercise), with most studies being cross-sectional, thereby limiting the ability to establish causal relationships between these factors and Activities of Daily Living (ADLs). A comprehensive synthesis of longitudinal studies is required to elucidate the impact of daily health behaviors on ADLs in older adults.
Objectives: Our goal was to assess the predictive relationship between daily health behaviors and ADLs, aiming to better understand their longitudinal interplay among the older adults population.
Design: This systematic review was meticulously conducted following the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and the recommendations of the Cochrane Community.
Data Sources: A thorough search was conducted using Medical Subject Headings (MeSH) terms and associated keywords in databases such as PubMed, Web of Science, Embase, China National Knowledge Infrastructure (CNKI), Chinese Technical Periodicals (VIP), and Wanfang, up to December 2024.
Methods: Two researchers independently screened the articles, and data extraction and verification were carried out for those meeting the inclusion criteria. This review systematically evaluated longitudinal studies examining the correlation between various daily health behaviors and ADL performance in older adults.
Results: 13 longitudinal studies were included after excluding duplicates and irrelevant literature. Of these, 12 (92.3%) were deemed high quality, and 1 (7.7%) was considered low quality. Daily exercise was identified as the most influential behavior for preventing ADL disability, with adherence to a Mediterranean diet (MeDi) and moderate alcohol consumption also demonstrating protective effects. In contrast, physical inactivity, a sedentary lifestyle, and smoking were strongly linked to ADL impairment, followed by sleep duration issues, infrequent consumption of fruits and vegetables, lower frequency of soy product intake, and higher energy intake.
Conclusion: Longitudinal data and theoretical literature indicate that daily health behavior indicators predict independence in older adults. However, these findings should be interpreted with caution due to the inability to pool data from the included studies, which exhibited significant variations in the operationalization of the indicators and ADLs. The results highlight the clinical significance of advocating for healthy behaviors to prevent early ADL decline in older adults. Implementing these insights could lead to a substantial reduction in healthcare burdens and an extension of healthy life expectancy.
Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023491550, identifier CRD42023491550.
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http://dx.doi.org/10.3389/fpubh.2025.1419279 | DOI Listing |
PLoS One
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Perinatal HIV Research Unit (PHRU), University of the Witwatersrand, Chris Hani Baragwanath Academic Hospital, Soweto, South Africa.
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March 2025
Florida State University College of Nursing, Tallahassee, FL.
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Department of Ophthalmology, Cornea Service, New England Eye Center and Tufts Medical Center, Tufts University School of Medicine, Boston, MA, USA.
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Aging Clin Exp Res
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Data Science for Health, Fondazione Bruno Kessler, Via Sommarive 18, Trento, 38123, Italy.
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Environ Monit Assess
March 2025
Faculty of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Johor Bahru, Johor, Malaysia.
In industrialized areas, air pollution is a recurring problem, especially in areas with high manufacturing and energy-intensive businesses. The challenge lies in the tension between industrial growth and environmental protection, as these sectors significantly contribute to pollution, resource depletion, and climate change. The objectives of the study were (1) to assess the contribution of each industrial group to the air quality in and around the Pasir Gudang industrial area, Malaysia, and (2) to evaluate the Air Pollution Index (API).
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