Demographic and socio-economic predictors of physical activity among people living with HV of low socio-economic status

被引:0
|
作者
Mabweazara, Smart Z. [1 ]
Leach, L. L. [1 ]
Ley, Clemens [2 ]
Onagbiye, Sunday O. [1 ]
Dave, Joel A. [3 ]
Levitt, Naomi S. [3 ]
Lambert, Estelle, V [4 ]
机构
[1] Univ Western Cape, Fac Community & Hlth Sci, Dept Sports Recreat & Exercise Sci, Cape Town, South Africa
[2] Univ Appl Sci, Dept Hlth Sci, Vienna, Austria
[3] Univ Cape Town, Fac Hlth Sci, Dept Med, Div Diabet Med & Endocrinol, Cape Town, South Africa
[4] Univ Cape Town, Fac Hlth Sci, Dept Human Biol, Cape Town, South Africa
来源
HEALTH SA GESONDHEID | 2019年 / 24卷
关键词
physical activity; exercise; socio-economic status; HIV; AIDS; ANTIRETROVIRAL THERAPY; HIV-INFECTION; EXERCISE; ASSOCIATION;
D O I
10.4102/hsag.v24i0.1127
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Physical activity (PA) is beneficial for the health of people living with HIV and AIDS (PLWHA). Aim: The aim of this study was to determine if age, body weight, height, gender, waist-to-hip ratio (WHR), educational attainment, employment status, CD4+ cell count and body mass index (BMI) can predict overall PA among PLWHA of low socio-economic status (SES). Setting: Participants in this study were HIV-infected patients on first-line antiretroviral therapy (ART) regimen offered by the South African National Department of Health, and those not on ART. Participants were conveniently sampled from a list at a community health care centre in Cape Town. Methods: This study sample consisted of 978 HIV-infected South Africans. Physical activity data were collected using the Global Physical Activity Questionnaire. Backward multiple linear regression modelling was used to determine the relative influence of variables (age, body weight, height, gender, WHR, educational attainment, employment status, CD4+ count and BMI) on total moderate-to-vigorous PA. Alpha level was set at 0.05. Results: The mean age of the participants was 38.2 (standard deviation [SD] = 8.76) years for men and 33.9 (SD = 8.53) years for women. Physical activity was significantly higher in men (480.2 [SD = 582.9] min/week) than among women (369.35 [SD = 222.53] min/week). The results of the multiple linear regression showed that educational attainment (beta = 0.127;p = 0.00), employment (beta = -0.087;p = 0.01) and gender (beta = 0.235; p = 0.00) significantly predicted total moderate-to-vigorous PA. Gender had the greatest effect, followed by educational attainment and employment status. Conclusion: There is a need for PA programmes that are designed to (1) target women, (2) strengthen programmes for education and promotion of PA and (3) engage the unemployed into PA for PLWHA. Physical activity interventions for this particular group should be tailored for persons of low SES.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Demographic and socio-economic predictors of physical activity among people living with HIV of low socio-economic status (vol 24, a1127, 2019)
    Mabweazara, Smart Z.
    Leach, L. L.
    Ley, Clemens
    Onagbiye, Sunday O.
    Dave, Joel A.
    Levitt, Naomi S.
    Lambert, Estelle, V
    [J]. HEALTH SA GESONDHEID, 2021, 26
  • [2] Socio-economic predictors of mortality among diabetic people
    Forssas, Erja
    Manderbacka, Kristiina
    Arffman, Martti
    Keskimaki, Ilmo
    [J]. EUROPEAN JOURNAL OF PUBLIC HEALTH, 2012, 22 (03): : 305 - 310
  • [3] Predictors of resilience among adolescents of low socio-economic status in India
    Narayantan, Annalakshmi
    [J]. INTERNATIONAL REVIEW OF PSYCHIATRY, 2015, 27 (03) : 204 - 217
  • [4] Smoking and low socio-economic status
    Haustein, KO
    [J]. GESUNDHEITSWESEN, 2005, 67 (8-9) : 630 - 637
  • [5] Socio-Economic Inequalities in Health: Socio-Economic Status as a Determinant of Health
    Dzambazovic, Roman
    Gerbery, Daniel
    [J]. SOCIOLOGIA, 2014, 46 (02): : 194 - 219
  • [6] SOCIO-ECONOMIC PREDICTORS OF CANCER
    Mikhalkina, Elena, V
    Skachkova, Lyudmila S.
    Kit, Oleg, I
    Fomenko, Yuri A.
    [J]. JOURNAL OF INSTITUTIONAL STUDIES, 2020, 12 (03) : 122 - 141
  • [7] The impact of socio-economic status on children's physical activity
    Duncan, MJ
    Woodfield, LA
    Al-Nakeeb, Y
    Nevill, AM
    [J]. JOURNAL OF SPORTS SCIENCES, 2002, 20 (01) : 34 - 35
  • [8] Physical activity and socio-economic status: results of a study in Italy
    La Torre, G
    De Vito, E
    Masala, D
    Langiano, E
    Arzano, I
    Fantasia, M
    Manzo, S
    Mollo, L
    Tartaglia, A
    Capelli, G
    [J]. EUROPEAN JOURNAL OF PUBLIC HEALTH, 2004, 14 (04): : 34 - 34
  • [9] Inequality in socio-economic status and the differences in physical activity pattern
    Yousomboon, Chutima
    Pongpradit, Kornkanok
    Katewongsa, Piyawat
    [J]. JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 2018, 15 (10): : S101 - S101
  • [10] Effects of socio-economic status on physical activity of prepubescent children
    Melin, A
    Obert, P
    Bonnet, P
    Courteix, D
    [J]. CANADIAN JOURNAL OF APPLIED PHYSIOLOGY-REVUE CANADIENNE DE PHYSIOLOGIE APPLIQUEE, 2003, 28 (02): : 190 - 203