Physical Activity Measured by Pedometer in a Peri-Urban Mozambican Population

in Journal of Physical Activity and Health

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Ivalda Macicame Instituto Nacional de Saúde, Maputo, Mozambique
Center for International Health (CIH), Ludwig-Maximilians-Universität München (LMU), Munich, Germany

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Peter T. Katzmarzyk Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA

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Carlos Lauchande Faculty of Natural Sciences and Mathematics, Universidade Pedagógica de Maputo, Maputo, Mozambique

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Jorge Uate Research Group for Physical Activity and Health (NIAFS), Faculdade de Educação Física e Desporto (FEFD), Universidade Pedagógica, Maputo, Mozambique

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Nílzio Cavele Instituto Nacional de Saúde, Maputo, Mozambique

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Cremildo Manhiça Instituto Nacional de Saúde, Maputo, Mozambique

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Elmar Saathoff Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig-Maximilians-Universität München (LMU), Munich, Germany
German Centre for Infection Research (DZIF), Partner Site Munich, Munich, Germany

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Klaus G. Parhofer Medizinische Klinik IV—Grosshadern, Klinikum der Ludwig-Maximilians-Universität München (LMU), Munich, Germany

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António Prista Research Group for Physical Activity and Health (NIAFS), Faculdade de Educação Física e Desporto (FEFD), Universidade Pedagógica, Maputo, Mozambique

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DOI:
https://doi.org/10.1123/jpah.2022-0003
Keywords:
Urbanization; cross-sectional; Mozambique
First Published Online:
18 Oct 2022
In Print:
Volume 19: Issue 11
Page Range:
777–785
Restricted access

Aim: This study was performed to describe physical activity behavior and its demographic associations in a peri-urban population from Mozambique, using device-based data. Methods: Physical activity was assessed by pedometers in a sample of 15- to 64-year-old subjects from Maputo, Mozambique. Participants wore a pedometer for 7 consecutive days, and physical inactivity was classified using a variety of approaches: sedentary (<5000 steps/d), physically inactive (<7500 steps/d), and no moderate-to-vigorous physical activity (MVPA < 1 min/d). Results: The percentage of sedentary subjects was 17.8%, and the percentage who were physically inactive was 41.8%. A total of 9.0% of participants participated in no MVPA (<1 min/d). Logistic regression analysis showed that females had a higher odds of being sedentary or inactive and having no MVPA compared with males. Unemployed participants were more sedentary and inactive than those who were employed. Socioeconomic status and body mass index did not show any significant association with physical activity. Conclusions: Findings suggest that physical activity levels of this peri-urban African city population are insufficient relative to the amount of activity recommended to improve health. Moreover, being sedentary and inactive was associated with occupation and gender but not with other sociodemographic characteristics and body mass index.

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