Literature DB >> 34025320

Physical Activity and Physical Function in Older Adults Living in a Retirement Community: A Cross-Sectional Analysis Focusing on Self-Rated Health.

Emerson Sebastião1,2, Shaine Henert1,2, Vitor Antonio Assis Alves Siqueira1,2.   

Abstract

Perceived health is a widely used proxy for measuring individuals' health status across different populations, including older adults. This measure is commonly reported as a subjective indicator, as a strong predictor of longer-term morbidity and mortality, and as a method to identify high-risk groups with health needs. This study examined differences in physical activity (PA) and physical function (PF) among older adults living in a retirement community located in the Midwest region of the United States as a function of perceived health. Results suggest that older adults perceiving their health as excellent reported significantly higher PA and performed significantly better on PF assessments than those reporting it as good or fair. Programs focusing on increasing PA in older adults living in retirement communities should be considered as potential strategies to enhance the health and health perception of this population.
© 2020 The Author(s).

Entities:  

Keywords:  elderly; functional capacity; motor activity; retirement community; self-reported health

Year:  2020        PMID: 34025320      PMCID: PMC8120620          DOI: 10.1177/1559827620942720

Source DB:  PubMed          Journal:  Am J Lifestyle Med        ISSN: 1559-8276


  36 in total

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9.  Use of different subjective health indicators to assess health inequalities in an urban immigrant population in north-western Italy: a cross-sectional study.

Authors:  Alexander Domnich; Daniela Amicizia; Donatella Panatto; Alessio Signori; Valentina Perelli; Sergio Adamoli; Edoardo Berti Riboli; Roberto Gasparini
Journal:  BMC Public Health       Date:  2013-10-25       Impact factor: 3.295

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  1 in total

1.  Exploring the most important factors related to self-perceived health among older men in Sweden: a cross-sectional study using machine learning.

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  1 in total

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