Evidence map›Paper›PMID 31934422›Full record

ArticleHealth SA = SA Gesondheid2019

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

Smart Z Mabweazara, L L Leach, Clemens Ley, Sunday O Onagbiye, Joel A Dave, Naomi S Levitt, Estelle V Lambert

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Health SA = SA Gesondheid, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Smart Z MabweazaraDepartment of Sports, Recreation and Exercise Science, Faculty of Community and Health Sciences, University of the Western Cape, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-7321-9869
L L LeachDepartment of Sports, Recreation and Exercise Science, Faculty of Community and Health Sciences, University of the Western Cape, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-5861-289X
Clemens LeyDepartment of Health Science, University of Applied Sciences, Vienna, Austria.ORCID https://orcid.org/0000-0003-1700-3905
Sunday O OnagbiyeDepartment of Sports, Recreation and Exercise Science, Faculty of Community and Health Sciences, University of the Western Cape, Cape Town, South Africa.ORCID https://orcid.org/0000-0002-3813-9417
Joel A DaveDepartment of Medicine, Faculty of Health Sciences, Division of Diabetic Medicine and Endocrinology, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-3084-7408
Naomi S LevittDepartment of Medicine, Faculty of Health Sciences, Division of Diabetic Medicine and Endocrinology, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0001-6480-8066
Estelle V LambertDepartment of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.ORCID https://orcid.org/0000-0003-4315-9153
University of Cape Town · ZAUniversity of the Western Cape · ZADepartment of Medical Sciences · BY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity (PA) is beneficial for the health of people living with HIV and AIDS (PLWHA).

aimThe 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).

settingParticipants 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.

methodsThis 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.

resultsThe 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 (β = 0.127;

conclusionThere 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.

Indexed as

AIDSexerciseHIVphysical activitysocio-economic status

Identifiers

PMID31934422
PMCPMC6917422
OpenAlexW2981761419

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.