Physical activity behaviours of persons living with HIV of low socioeconomic status

Domain, intensity and sociodemographic correlates

Bibliographic Data

ID19441126
AuthorsS Z Mabweazara (University of the Western Cape, corresponding author), Lloyd Leach (0000-0002-5861-289X, University of the Western Cape), L L Leach, Clemens Ley (0000-0003-1700-3905, University of Vienna), Mario Smith (0000-0002-0281-8290, University of the Western Cape), Darko Jekauc (0000-0002-7640-5149, Goethe University Frankfurt), Joel A Dave (0000-0003-3084-7408, University of Cape Town), J Dave, Norman Levitt (0000-0001-6480-8066, University of Cape Town), Estelle V Lambert (0000-0003-4315-9153, University of Cape Town), V E Lambert
Year2019
Volume31
Issue2
Pages255-259
Publication date2019-02-01
Open AccessNo
TypeARTICLE
VenueAIDS Care (JOURNAL)
Journal identifiersISSN: 0954-0121 • E-ISSN: 1360-0451
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09540121.2018.1493184
PMID29962226
OpenAlexW2811340070
LanguageEN
Citations received3
References cited25

Physical activity (PA) is healthy for People Living with HIV and AIDS (PLWHA). This study examined the PA profile of 978 PLWHA based on PA domains and PA intensity. The study also sought to determine whether employment status and level of education can predict PA among PLWHA of low SES. PA and sociodemographic data of 978 PLWHA of mean age 35 (8.77) years were collected using the global physical activity questionnaire and a sociodemographic questionnaire. Results showed that, participants engaged more in work-related PA [160.11 (346.95) min/wk], followed by transport related PA [115.21(SD = 142.04) min/wk], and lastly in leisure related PA [40.84 (SD = 110.37) min/wk]. Participants also engaged more in moderate PA [265.86 (SD = 335.45) min/wk], than in vigorous PA [50.29 (SD = 205.30) min/wk]. Employment was a significant predictor of overall PA controlling for age, CD4 count and education level. The model explained 2.5% of the variance (R2 = 0.025) on overall PA and tested significant at a 0.01 alpha level (p < 0.01). PA interventions for this population should be domain- and intensity-specific. Researchers promoting healthy lifestyle behaviour change can benefit from determining the factors that facilitate domain-specific PA

Analysis of variance · Environmental health · Physical activity · Physical therapy · Population · Psychological intervention · Socioeconomic status · Demography · HIV-related health complications and treatments · Medicine · Obesity, Physical Activity, Diet · Physical Activity and Health · Psychology · Gerontology · Immunology · Internal Medicine

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