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

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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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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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  • 1.

    Hallal PC, Andersen LB, Bull FC, et al. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247257. doi:10.1016/S0140-6736(12)60646-1

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 2.

    Katzmarzyk PT, Friedenreich C,Shiroma E,.Lee I-M. Physical inactivity and non-communicable disease burden in low-income, middle-income and high-income countries. Br J Sports Med. 2022;56(2):101106. doi:10.1136/bjsports-2020-103640

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 3.

    Lavie CJ, Ozemek C, Carbone S, Katzmarzyk PT, Blair SN. Sedentary behavior, exercise, and cardiovascular health. Circ Res. 2019;124(5):799815. PubMed ID: 30817262 doi:10.1161/CIRCRESAHA.118.312669

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 4.

    World Health Organization. Global Action Plan on Physical Activity 2018–2030: More Active People for a Healthier World; 2018.

  • 5.

    Lagerros YT, Lagiou P. Assessment of physical activity and energy expenditure in epidemiological research of chronic diseases. Eur J Epidemiol. 2007;22(6):353362. PubMed ID: 17599242 doi:10.1007/s10654-007-9154-x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 6.

    Melanson EL Jr, Freedson PS. Physical activity assessment: a review of methods. Crit Rev Food Sci Nutr. 1996;36(5):385396. PubMed ID: 8725670 doi:10.1080/10408399609527732

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 7.

    Ramakrishnan R, He JR, Ponsonby AL, et al. Objectively measured physical activity and all cause mortality: a systematic review and meta-analysis. Prev Med. 2021;143:106356. PubMed ID: 33301824 doi:10.1016/j.ypmed.2020.106356

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 8.

    Kirunda BE, Wamani H, Fadnes LT, Van den Broeck J, Tylleskär T. Objectively assessed physical activity and associated factors among adults in Peri-Urban and Rural Eastern Uganda: a population-based study. J Phys Act Health. 2016;13(11):12431254. PubMed ID: 27254851 doi:10.1123/jpah.2016-0025

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 9.

    Muthuri SK, Wachira LJ, Leblanc AG, et al. Temporal trends and correlates of physical activity, sedentary behaviour, and physical fitness among school-aged children in Sub-Saharan Africa: a systematic review. Int J Environ Res Public Health. 2014;11(3):33273359. PubMed ID: 24658411 doi:10.3390/ijerph110303327

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 10.

    Daca T, Prista A, Tchonga F, et al. Physical activity measured by accelerometry in Mozambican older adult women attending a regular exercise program. J Aging Phys Act. 2020;29(1):116120. PubMed ID: 32723929 doi:10.1123/japa.2019-0182

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 11.

    Mangona L, Brasil IA, Borges JP, Prista A, Farinatti P. Physical activity among women of low socioeconomic status living with HIV in two major cities of Brazil and Mozambique: a cross-sectional comparative study. Clinics. 2020;75:e1771. PubMed ID: 32876111 doi:10.6061/clinics/2020/e1771

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 12.

    Manyanga T, Barnes JD, Chaput JP, et al. Prevalence and correlates of objectively measured weight status among urban and rural Mozambican primary schoolchildren: a cross-sectional study. PLoS One. 2020;15(2):e0228592. PubMed ID: 32012187 doi:10.1371/journal.pone.0228592

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 13.

    dos Santos FK, Maia JA, Gomes TN, et al. Secular trends in habitual physical activities of Mozambican children and adolescents from Maputo City. Int J EnvironRes Public Health. 2014;11(10):1094010950. PubMed ID: 25337941 doi:10.3390/ijerph111010940

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 14.

    Prista A, Nhantumbo L, Saranga S, et al. Physical activity assessed by accelerometry in rural African school-aged children and adolescents. Pediatr Exerc Sci. 2009;21(4):384399. doi:10.1123/pes.21.4.384

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 15.

    Ziraba AK, Fotso JC, Ochako R. Overweight and obesity in urban Africa: a problem of the rich or the poor? BMC Public Health. 2009;9:465. PubMed ID: 20003478 doi:10.1186/1471-2458-9-465

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 16.

    Vyas S, Kumaranayake L. Constructing socio-economic status indices: how to use principal components analysis. Health Policy Plan. 2006, Nov;21(6):459468. PMID: 17030551. doi:10.1093/heapol/czl029

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 17.

    Tudor-Locke C, Craig CL, Thyfault JP, Spence JC. A step-defined sedentary lifestyle index: <5000 steps/day. Appl Physiol Nutr Metab. 2013;38(2):100114. PubMed ID: 23438219 doi:10.1139/apnm-2012-0235

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 18.

    Carlson RV, Boyd KM, Webb DJ (2004). The revision of the declaration of Helsinki: past, present and future. Br J Clin Pharmacol. 2004;57(6):695713. doi:10.1111/j.1365-2125.2004.02103.x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 19.

    Tudor-Locke C, Sisson SB, Collova T, Lee SM, Swan PD. Pedometer-determined step count guidelines for classifying walking intensity in a young ostensibly healthy population. Can J Appl Physiol. 2005;30(6):666676. PubMed ID: 16485518 doi:10.1139/h05-147

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 20.

    Tudor-Locke C, Ham SA, Macera CA, et al Descriptive epidemiology of pedometer-determined physical activity. Med Sci Sports Exerc. 2004;36(9):15671573. PubMed ID: 15354039 doi:10.1249/01.mss.0000139806.53824.2e

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 21.

    Wyatt HR, Peters JC, Reed GW, Barry M, Hill JO. A Colorado statewide survey of walking and its relation to excessive weight. Med Sci Sports Exerc. 2005;37(5):724730. PubMed ID: 15870624 doi:10.1249/01.mss.0000161750.84096.d4

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 22.

    Whitt MC, DuBose KD, Ainsworth BE, Tudor-Locke C. Walking patterns in a sample of African American, Native American, and Caucasian women: the cross-cultural activity participation study. Health Educ Behav. 2004;31(suppl 4):45S56S. doi:10.1177/1090198104266034

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 23.

    Inoue S, Takamiya T, Yoshiike N, Shimomitsu T. Physical activity among the Japanese: results of the National Health and Nutrition Survey. In: International Congress on Physical Activity and Public Health. US Department of Health and Human Services; 2006.

    • Search Google Scholar
    • Export Citation
  • 24.

    McCormack G, Giles-Corti B, Milligan R. Demographic and individual correlates of achieving 10,000 steps/day: use of pedometers in a population-based study. Health Promot J Austr. 2006;17(1):4347. PubMed ID: 16619935 doi:10.1071/he06043

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 25.

    Sequeira MM, Rickenbach M, Wietlisbach V, Tullen B, Schutz Y. Physical activity assessment using a pedometer and its comparison with a questionnaire in a large population survey. Am J Epidemiol 1995;142(9):989999. doi:10.1093/oxfordjournals.aje.a117748

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 26.

    Guthold R, Louazani SA, Riley LM, et al. Physical activity in 22 African countries: results from the World Health Organization STEPwise approach to chronic disease risk factor surveillance. Am J Prev Med. 2011;41(1):5260. PubMed ID: 21665063 doi:10.1016/j.amepre.2011.03.008

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 27.

    Pillay JD, van der Ploeg HP, Kolbe-Alexander TL, et al. The association between daily steps and health, and the mediating role of body composition: a pedometer-based, cross-sectional study in an employed South African population. BMC Public Health. 2015;15:174. PubMed ID: 25885183 doi:10.1186/s12889-015-1381-6

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 28.

    Padrão P, Damasceno A, Silva-Matos C, Prista A, Lunet N. Physical activity patterns in Mozambique: urban/rural differences during epidemiological transition. Prev Med. 2012;55(5):444449. PubMed ID: 22940038 doi:10.1016/j.ypmed.2012.08.006

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 29.

    Sobngwi E, Mbanya JC, Unwin NC, et al. Physical activity and its relationship with obesity, hypertension and diabetes in urban and rural Cameroon. Int J Obes Relat Metab Disord. 2002;26(7):10091016. doi:10.1038/sj.ijo.0802008

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 30.

    Singh R, Pattisapu A, Emery MS. US physical activity guidelines: current state, impact and future directions. Trends Cardiovasc Med. 2020;30(7):407412. PubMed ID: 31677904 doi:10.1016/j.tcm.2019.10.002

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 31.

    Tudor-Locke C, Craig CL, Aoyagi Y, et al. How many steps/day are enough? for older adults and special populations. Int J Behav Nutr Phys Act 2011;8:80. doi:10.1186/1479-5868-8-80

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 32.

    De Cocker K, Cardon G, De Bourdeaudhuij I. Pedometer-determined physical activity and its comparison with the International Physical Activity Questionnaire in a sample of Belgian adults. Res Q Exerc Sport. 2007;78(5):429437. PubMed ID: 18274215 doi:10.1080/02701367.2007.10599443

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 33.

    Abubakari AR, Lauder W, Jones MC, Kirk A, Agyemang C, Bhopal RS. Prevalence and time trends in diabetes and physical inactivity among adult West African populations: the epidemic has arrived. Public Health. 2009;123(9):602614. doi:10.1016/j.puhe.2009.07.009

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 34.

    Assah F, Mbanya JC, Ekelund U, Wareham N, Brage S. Patterns and correlates of objectively measured free-living physical activity in adults in rural and urban Cameroon. J Epidemiol Community Health. 2015;69(7):700707. doi:10.1136/jech-2014-205154

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 35.

    Miller R, Brown WJ. Meeting physical activity guidelines and average daily steps in a working population. J Phys Act Health. 2004, 1(3):218226. doi:10.1123/jpah.1.3.218

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 36.

    Scott A, Ejikeme CS, Clottey EN, Thomas JG. Obesity in sub-Saharan Africa: development of an ecological theoretical framework. Health Promot Int. 2013;28(1):416. PubMed ID: 22933446 doi:10.1093/heapro/das038

    • Crossref
    • Search Google Scholar
    • Export Citation
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