Physical activity engagement in Eldoret, Kenya, during Covid-19 pandemic
Bibliographic Data
| ID | 19593414 |
|---|---|
| Authors | Karani Magutah (0000-0003-3105-2981, Moi University, corresponding author), Grace Mbuthia (0000-0003-0994-5249, Jomo Kenyatta University of Agriculture and Technology) |
| Editors | Zulkarnain Jaafar |
| Year | 2022 |
| Volume | 2 |
| Issue | 4 |
| Pages | e0000339 |
| Publication date | 2022-04-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PLOS Global Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2767-3375 • E-ISSN: 2767-3375 |
| Publisher | Public Library of Science (PLoS) (PUBLISHER) |
| DOI | 10.1371/journal.pgph.0000339 |
| PMID | 36962184 |
| OpenAlex | W4223967004 |
| Language | EN |
| References cited | 39 |
The World Health Organization (WHO) recommends that individuals of all ages participate in regular physical activity (PA) for optimal health and to support with the control of multiple non-communicable diseases. In Kenya however, involvement in PA across the general population is low and there is an increase in sedentary lifestyles in both rural and urban areas. An inverse relationship exists between socioeconomic status and involvement in PA. The novel COVID-19 ushered in associated control measures to limit the spread of the virus. These measures included staying at home, social distancing, and closure of physical spaces such as gyms, public parks, sports grounds, outdoor playing areas and schools. The impact was immediate, impacting patterns and routines of PA in Kenya. The primary aim of this study was to verify if COVID-19 affected PA prevalence and patterns amongst adults in Eldoret, Kenya. The secondary aim was to ascertain if the modification in behaviour is consistent amongst individuals from different socioeconomic backgrounds. We used a cross-sectional study to examine self-reported PA data amongst 404 participants. All participants were ≥18 years and resided in Eldoret, Kenya. Data were collected using a self-administered, structured questionnaire adapted from the WHO Global Physical Activity Questionnaire (WHO GPAQ). The characteristics of participants’ is summarized using descriptive statistics, and bivariate analyses for measures of associations of variables was done using Chi-squared and Fishers exact tests. Binary logistic regressions were performed to adjust for the various factors and report associations between variables. The p -value considered for significant differences was set at
Bivariate analysis · Descriptive statistics · Disease · Environmental health · Geography · Logistic regression · Pandemic · Population · Public health · Socioeconomic status · Sociology · Statistics · Demography · Medicine · Obesity, Physical Activity, Diet · Physical Activity and Health · Psychology · Urban Transport and Accessibility
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| Highly cited | No |
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