Intensity and type of physical activity predicts depression in older adults.


Journal

Aging & mental health
ISSN: 1364-6915
Titre abrégé: Aging Ment Health
Pays: England
ID NLM: 9705773

Informations de publication

Date de publication:
04 2021
Historique:
pubmed: 18 1 2020
medline: 24 6 2021
entrez: 18 1 2020
Statut: ppublish

Résumé

This study examined whether various levels of physical activity among older adults predicted levels of depression and whether there were racial differences in the levels and types of physical activities engaged in by adults aged 50 and older. Data from the 2015-2016 National Health and Nutrition Examination Survey (NHANES) were analyzed for 2,474 adults aged 50 years and older. Variables of focus were demographics, physical activity and depression, assessed using the Physical Activity Questionnaire and the Mental Health - Depression Screener. There was a significant positive relationship between income and depression; individuals with higher income had lower levels of depression. Simple linear regression revealed income significantly predicted depression scores, b = -.20, F(1, 2296) = 96.35, p < .001, explaining 4% of the variance, R2 = .04. As age increased, all levels of physical activity declined, regardless of the category. Vigorous recreation-related activity and moderate recreation-related activity each made significant, unique contributions to depression scores. Findings from the current study suggest that physical activity interventions should be culturally appropriate and tailored to the needs and abilities of individual older adults to maximize benefits and minimize adverse events, particularly among community dwelling older adults.

Identifiants

pubmed: 31948269
doi: 10.1080/13607863.2020.1711861
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

664-671

Auteurs

Mercy Ngosa Mumba (MN)

Capstone College of Nursing, University of Alabama, Tuscaloosa, AL, USA.

Alexandra F Nacarrow (AF)

Capstone College of Nursing, University of Alabama, Tuscaloosa, AL, USA.
Department of Psychology, University of Alabama, Tuscaloosa, AL, USA.

Shameka Cody (S)

Capstone College of Nursing, University of Alabama, Tuscaloosa, AL, USA.

Betty A Key (BA)

Capstone College of Nursing, University of Alabama, Tuscaloosa, AL, USA.

Hui Wang (H)

Institute for Rural Health Research, College of Arts and Sciences, University of Alabama, Tuscaloosa, AL, USA.

MacKenzie Robb (M)

Capstone College of Nursing, University of Alabama, Tuscaloosa, AL, USA.

Abigail Jurczyk (A)

Department of Biology, College of Arts and Sciences, University of Alabama, Tuscaloosa, AL, USA.

Cassandra Ford (C)

Capstone College of Nursing, University of Alabama, Tuscaloosa, AL, USA.

Mary Ann Kelley (MA)

Capstone College of Nursing, University of Alabama, Tuscaloosa, AL, USA.

Rebecca S Allen (RS)

Department of Psychology, University of Alabama, Tuscaloosa, AL, USA.

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Classifications MeSH