1932

Abstract

Given its origins in high-income countries, the field of physical activity and public health research and promotion has broadly followed a choice-based model. However, a substantial amount of the physical activity occurring routinely in many settings, particularly in low- and middle-income countries (LMICs), is the result of economic necessity and is not due to true, free choices. We propose the “necessity- versus choice-based physical activity models” framework as a conceptual tool to ground physical activity and public health research and promotion efforts in LMICs, helping ensurethat these efforts are relevant, ethical, responsive, and respectful to local contexts. Identifying ways to ensure that LMIC populations can maintain high levels of active transport while increasing opportunities for active leisure must be prioritized. To promote equity, physical activity research, programs, and policies in LMICs must focus on improving the conditions under which necessity-driven physical activity occurs for a vast majority of the population.

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2023-04-03
2024-12-07
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Literature Cited

  1. 1.
    Adlakha D, Hipp JA, Sallis JF, Brownson RC. 2018. Exploring neighborhood environments and active commuting in Chennai, India. Int. J. Environ. Res. Public Health 15:1840
    [Google Scholar]
  2. 2.
    Adlakha D, Parra DC. 2020. Mind the gap: gender differences in walkability, transportation and physical activity in urban India. J. Transport Health 18:100875
    [Google Scholar]
  3. 3.
    Alves JGB, Figueiroa JN, Alves LV. 2011. Prevalence and predictors of physical inactivity in a slum in Brazil. J. Urban Health 88:168–75
    [Google Scholar]
  4. 4.
    Anand K, Shah B, Yadav K, Singh R, Mathur P et al. 2007. Are the urban poor vulnerable to non-communicable diseases? A survey of risk factors for non-communicable diseases in urban slums of Faridabad. Natl. Med. J. India 20:115–20
    [Google Scholar]
  5. 5.
    Arellana J, Saltarín M, Larrañaga AM, Alvarez V, Henao CA. 2020. Urban walkability considering pedestrians’ perceptions of the built environment: a 10-year review and a case study in a medium-sized city in Latin America. Transport Rev. 40:183–203
    [Google Scholar]
  6. 6.
    Ashe M, Graff S, Spector C. 2011. Changing places: policies to make a healthy choice the easy choice. Public Health 125:889–95
    [Google Scholar]
  7. 7.
    Ball K, Carver A, Downing K, Jackson M, O'Rourke K. 2015. Addressing the social determinants of inequities in physical activity and sedentary behaviours. Health Promot. Int. 30:Suppl. 2ii18–19
    [Google Scholar]
  8. 8.
    Bassett DR, John D, Conger SA, Fitzhugh EC, Coe DP. 2015. Trends in physical activity and sedentary behaviors of United States youth. J. Phys. Act. Health 12:1102–11
    [Google Scholar]
  9. 9.
    Beenackers MA, Kamphuis C, Giskes K, Brug J, Kunst AE et al. 2012. Socioeconomic inequalities in occupational, leisure-time, and transport related physical activity among European adults: a systematic review. Int. J. Behav. Nutr. Phys. Act. 9:116
    [Google Scholar]
  10. 10.
    Booth SL, Sallis JF, Ritenbaugh C, Hill JO, Birch LL et al. 2001. Environmental and societal factors affect food choice and physical activity: rationale, influences, and leverage points. Nutr. Rev. 59:S21–39
    [Google Scholar]
  11. 11.
    Bourguignon F 2001. Crime as a social cost of poverty and inequality: a review focusing on developing countries. Facets of Globalization: International and Local Dimensions of Development S Yusuf, SJ Evenett, W Wu 171–91. Washington, DC: World Bank
    [Google Scholar]
  12. 12.
    Braveman PA, Kumanyika S, Fielding J, LaVeist T, Borrell LN et al. 2011. Health disparities and health equity: The issue is justice. Am. J. Public Health 101:S149–55
    [Google Scholar]
  13. 13.
    Brown C, de Lannoy A, McCracken D, Gill T, Grant M et al. 2019. Special issue: child-friendly cities. Cities Health 3:1–7
    [Google Scholar]
  14. 14.
    Brownson RC, Boehmer TK, Luke DA. 2005. Declining rates of physical activity in the United States: What are the contributors?. Annu. Rev. Public Health 26:421–43
    [Google Scholar]
  15. 15.
    Cillekens B, Lang M, van Mechelen W, Verhagen E, Huysmans MA et al. 2020. How does occupational physical activity influence health? An umbrella review of 23 health outcomes across 158 observational studies. Br. J. Sports Med. 54:1474–81
    [Google Scholar]
  16. 16.
    Coenen P, Huysmans MA, Holtermann A, Krause N, van Mechelen W et al. 2018. Do highly physically active workers die early? A systematic review with meta-analysis of data from 193 696 participants. Br. J. Sports Med. 52:1320–26
    [Google Scholar]
  17. 17.
    Coenen P, Huysmans MA, Holtermann A, Krause N, van Mechelen W et al. 2020. Towards a better understanding of the ‘physical activity paradox’: the need for a research agenda. Br. J. Sports Med. 54:1055–57
    [Google Scholar]
  18. 18.
    Cole HVS, Mehdipanah R, Gullón P, Triguero-Mas M. 2021. Breaking down and building up: Gentrification, its drivers, and urban health inequality. Curr. Environ. Health Rep. 8:157–66
    [Google Scholar]
  19. 19.
    de Araújo Pinto A, Claumann GS, Colares de Angelo HC, Menezes EC, Torquato Dias D, Pelegrini A 2018. Active commuting to school and associated factors among adolescents: a systematic review. J. Phys. Educ. 28:e2859
    [Google Scholar]
  20. 20.
    de Vries JD, Bakker AB. 2022. The physical activity paradox: a longitudinal study of the implications for burnout. Int. Arch. Occup. Environ. Health 95:965–79
    [Google Scholar]
  21. 21.
    Dunn AL, Andersen RE, Jakicic JM. 1998. Lifestyle physical activity interventions: history, short- and long-term effects, and recommendations. Am. J. Prev. Med. 15:398–412
    [Google Scholar]
  22. 22.
    Ezeh A, Oyebode O, Satterthwaite D, Chen Y-F, Ndugwa R et al. 2017. The history, geography, and sociology of slums and the health problems of people who live in slums. Lancet 389:547–58
    [Google Scholar]
  23. 23.
    Gabriel KP, McClain JJ, Schmid KK, Storti KL, Ainsworth BE. 2011. Reliability and convergent validity of the past-week Modifiable Activity Questionnaire. Public Health Nutr 14:435–42
    [Google Scholar]
  24. 24.
    García I, Kim K 2020. Active commute to school, physical activity and health of Hispanic high school students in the United States. Urban Mobility and Social Equity in Latin America: Evidence, Concepts, Methods D Oviedo, NV Duarte, AM Ardila Pinto 149–68. Bingley, UK: Emerald Publ.
    [Google Scholar]
  25. 25.
    González SA, Aubert S, Barnes JD, Larouche R, Tremblay MS 2020. Profiles of active transportation among children and adolescents in the Global Matrix 3.0 initiative: a 49-country comparison. Int. J. Environ. Res. Public Health 17:5997
    [Google Scholar]
  26. 26.
    González SA, Sarmiento OL, Larouche R, Chaput J-P, Katzmarzyk PT, Tremblay MS. 2021. Prevalence and correlates of active transportation to school among Colombian children and adolescents. J. Phys. Act. Health 18:1299–309
    [Google Scholar]
  27. 27.
    González SA, Sarmiento OL, Lemoine PD, Larouche R, Meisel JD et al. 2020. Active school transport among children from Canada, Colombia, Finland, South Africa, and the United States: a tale of two journeys. Int. J. Environ. Res. Public Health 17:3847
    [Google Scholar]
  28. 28.
    GoPA! (Glob. Obs. Phys. Act.) 2020. Country card data. Global Observatory for Physical Activity https://new.globalphysicalactivityobservatory.com/countrycards/
    [Google Scholar]
  29. 29.
    Guthold R, Stevens GA, Riley LM, Bull FC. 2018. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet Glob. Health 6:e1077–86
    [Google Scholar]
  30. 30.
    Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W et al. 2012. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet 380:247–57
    [Google Scholar]
  31. 31.
    Hamadeh N, van Rompaey C, Metreau E. 2021. New World Bank country classifications by income level: 2021–2022. World Bank Blogs July 1. https://blogs.worldbank.org/opendata/new-world-bank-country-classifications-income-level-2021-2022
    [Google Scholar]
  32. 32.
    Holtermann A, Hansen JV, Burr H, Søgaard K, Sjøgaard G. 2012. The health paradox of occupational and leisure-time physical activity. Br. J. Sports Med. 46:291–95
    [Google Scholar]
  33. 33.
    Holtermann A, Krause N, van der Beek AJ, Straker L. 2018. The physical activity paradox: six reasons why occupational physical activity (OPA) does not confer the cardiovascular health benefits that leisure time physical activity does. Br. J. Sports Med. 52:149–50
    [Google Scholar]
  34. 34.
    Int. Labour Organ. (United Nations) 2021. Employment statistics. ILOSTAT https://ilostat.ilo.org/topics/employment/#
    [Google Scholar]
  35. 35.
    Jacobson D, Melnyk BM. 2011. Psychosocial correlates of healthy beliefs, choices, and behaviors in overweight and obese school-age children: a primary care Healthy Choices Intervention pilot study. J. Pediatr. Nurs. 26:456–64
    [Google Scholar]
  36. 36.
    Jáuregui A, Salvo D, Medina C, Barquera S, Hammond D. 2020. Understanding the contribution of public- and restricted-access places to overall and domain-specific physical activity among Mexican adults: a cross-sectional study. PLOS ONE 15:e0228491
    [Google Scholar]
  37. 37.
    Jiao J. 2017. Identifying transit deserts in major Texas cities where the supplies missed the demands. J. Transport Land Use 10:529–40
    [Google Scholar]
  38. 38.
    Katzmarzyk PT, Mason C. 2009. The physical activity transition. J. Phys. Act. Health 6:269–80
    [Google Scholar]
  39. 39.
    Kelly SA, Melnyk BM, Jacobson DL, O'Haver JA. 2011. Correlates among healthy lifestyle cognitive beliefs, healthy lifestyle choices, social support, and healthy behaviors in adolescents: implications for behavioral change strategies and future research. J. Pediatr. Health Care 25:216–23
    [Google Scholar]
  40. 40.
    King AC, Rejeski WJ, Buchner DM. 1998. Physical activity interventions targeting older adults: a critical review and recommendations. Am. J. Prev. Med. 15:316–33
    [Google Scholar]
  41. 41.
    Klein NJ, Smart MJ. 2017. Car today, gone tomorrow: the ephemeral car in low-income, immigrant and minority families. Transportation 44:495–510
    [Google Scholar]
  42. 42.
    Lachapelle U. 2015. Walk, bicycle, and transit trips of transit-dependent and choice riders in the 2009 United States National Household Travel Survey. J. Phys. Act. Health 12:1139–47
    [Google Scholar]
  43. 43.
    Lacombe J, Armstrong MEG, Wright FL, Foster C. 2019. The impact of physical activity and an additional behavioural risk factor on cardiovascular disease, cancer and all-cause mortality: a systematic review. BMC Public Health 19:900
    [Google Scholar]
  44. 44.
    Lambert EV, Kolbe-Alexander T, Adlakha D, Oyeyemi A, Anokye NK et al. 2020. Making the case for ‘physical activity security’: the 2020 WHO guidelines on physical activity and sedentary behaviour from a Global South perspective. Br. J. Sports Med. 54:1447–48
    [Google Scholar]
  45. 45.
    Lee I-M, Shiroma EJ, Lobelo F, Puska P, Blair SN et al. 2012. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 380:219–29
    [Google Scholar]
  46. 46.
    Monda KL, Gordon-Larsen P, Stevens J, Popkin BM. 2007. China's transition: the effect of rapid urbanization on adult occupational physical activity. Soc. Sci. Med. 64:858–70
    [Google Scholar]
  47. 47.
    Moreno C, Allam Z, Chabaud D, Gall C, Pratlong F. 2021. Introducing the “15-minute city”: sustainability, resilience and place identity in future post-pandemic cities. Smart Cities 4:93–111
    [Google Scholar]
  48. 48.
    Morris JN, Heady JA, Raffle PA, Roberts CG, Parks JW. 1953. Coronary heart-disease and physical activity of work. Lancet 262:1053–57
    [Google Scholar]
  49. 49.
    Ncube F, Kanda A. 2018. Current status and the future of occupational safety and health legislation in low- and middle-income countries. Saf. Health Work 9:365–71
    [Google Scholar]
  50. 50.
    Nishida M. 2001. The significance of sedentarization in the human history. Afr. Study Monogr. 2001:Suppl. 269–14
    [Google Scholar]
  51. 51.
    Ocampo Hurtado JG. 2012. Prehispanic ball game and the Olympic games. Rev. UDCA Actual. Divulg. Cient. 15:13–16
    [Google Scholar]
  52. 52.
    Onywera VO, Adamo KB, Sheel AW, Waudo JN, Boit MK, Tremblay M. 2012. Emerging evidence of the physical activity transition in Kenya. J. Phys. Act. Health 9:554–62
    [Google Scholar]
  53. 53.
    Oviedo D, Okyere SA, Nieto M, Kita M, Kusi LF et al. 2021. Walking off the beaten path: everyday walking environment and practices in informal settlements in Freetown. Res. Transp. Bus. Manag. 40:100630
    [Google Scholar]
  54. 54.
    Paffenbarger RS Jr., Blair SN, Lee I-M. 2001. A history of physical activity, cardiovascular health and longevity: the scientific contributions of Jeremy N Morris, DSc, DPH, FRCP. Int. J. Epidemiol. 30:1184–92
    [Google Scholar]
  55. 55.
    Panter JR, Jones AP, van Sluijs EM. 2008. Environmental determinants of active travel in youth: a review and framework for future research. Int. J. Behav. Nutr. Phys. Act. 5:34
    [Google Scholar]
  56. 56.
    Pate RR, Davis MG, Robinson TN, Stone EJ, McKenzie TL, Young JC. 2006. Promoting physical activity in children and youth: a leadership role for schools: a scientific statement from the American Heart Association Council on Nutrition, Physical Activity, and Metabolism (Physical Activity Committee) in collaboration with the Councils on Cardiovascular Disease in the Young and Cardiovascular Nursing. Circulation 114:1214–24
    [Google Scholar]
  57. 57.
    Pate RR, Flynn JI, Dowda M. 2016. Policies for promotion of physical activity and prevention of obesity in adolescence. J. Exerc. Sci. Fitness 14:47–53
    [Google Scholar]
  58. 58.
    Pavelka J, Sigmundová D, Hamřík Z, Kalman M, Sigmund E, Mathisen F. 2017. Trends in active commuting to school among Czech schoolchildren from 2006 to 2014. Cent. Eur. J. Public Health 25:S21–25
    [Google Scholar]
  59. 59.
    Pettee Gabriel KK, Morrow JR, Woolsey A-LT 2012. Framework for physical activity as a complex and multidimensional behavior. J. Phys. Act. Health 9:Suppl. 1S11–18
    [Google Scholar]
  60. 60.
    Popkin BM. 1994. The nutrition transition in low-income countries: an emerging crisis. Nutr. Rev. 52:285–98
    [Google Scholar]
  61. 61.
    Pratt M, Sarmiento OL, Montes F, Ogilvie D, Marcus BH et al. 2012. The implications of megatrends in information and communication technology and transportation for changes in global physical activity. Lancet 380:282–93
    [Google Scholar]
  62. 62.
    Preston V, McLafferty S, Liu XF. 1998. Geographical barriers to employment for American-born and immigrant workers. Urban Stud. 35:529–45
    [Google Scholar]
  63. 63.
    Ramírez Varela A, Cruz GIN, Hallal P, Blumenberg C, da Silva SG et al. 2021. Global, regional, and national trends and patterns in physical activity research since 1950: a systematic review. Int. J. Behav. Nutr. Phys. Act. 18:5
    [Google Scholar]
  64. 64.
    Reimers AK, Marzi I, Schmidt SC, Niessner C, Oriwol D et al. 2021. Trends in active commuting to school from 2003 to 2017 among children and adolescents from Germany: the MoMo Study. Eur. J. Public Health 31:373–78
    [Google Scholar]
  65. 65.
    Reis RS, Salvo D, Ogilvie D, Lambert EV, Goenka S et al. 2016. Scaling up physical activity interventions worldwide: stepping up to larger and smarter approaches to get people moving. Lancet 388:1337–48
    [Google Scholar]
  66. 66.
    Rhodes RE, McEwan D, Rebar AL. 2019. Theories of physical activity behaviour change: a history and synthesis of approaches. Psychol. Sport Exerc. 42:100–9
    [Google Scholar]
  67. 67.
    Rivas ME, Serebrisky T. 2021. The role of active transport modes in enhancing the mobility of low-income people in Latin America and the Caribbean Rep. Inter-Am. Dev. Bank Washington, DC: https://publications.iadb.org/en/role-active-transport-modes-enhancing-mobility-low-income-people-latin-america-and-caribbean
    [Google Scholar]
  68. 68.
    Sallis JF. 2009. Measuring physical activity environments: a brief history. Am. J. Prev. Med. 36:S86–92
    [Google Scholar]
  69. 69.
    Sallis JF, Cerin E, Kerr J, Adams MA, Sugiyama T et al. 2020. Built environment, physical activity, and obesity: findings from the International Physical Activity and Environment Network (IPEN) Adult Study. Annu. Rev. Public Health 41:119–39
    [Google Scholar]
  70. 70.
    Sallis JF, Frank LD, Saelens BE, Kraft MK. 2004. Active transportation and physical activity: opportunities for collaboration on transportation and public health research. Transp. Res. Part A Policy Pract. 38:249–68
    [Google Scholar]
  71. 71.
    Sallis JF, Owen N, Fotheringham MJ. 2000. Behavioral epidemiology: a systematic framework to classify phases of research on health promotion and disease prevention. Ann. Behav. Med. 22:294–98
    [Google Scholar]
  72. 72.
    Salvo D, Garcia L, Reis RS, Stankov I, Goel R et al. 2021. Physical activity promotion and the United Nations Sustainable Development Goals: building synergies to maximize impact. J. Phys. Act. Health 18:1163–80
    [Google Scholar]
  73. 73.
    Salvo D, Parra DC, Jauregui A, Resendiz E, Garcia-Olvera A et al. 2021. Capacity for childhood obesity research in Latin American and US Latino populations: state of the field, challenges, opportunities, and future directions. Obes. Rev. 22:Suppl. 3e13244
    [Google Scholar]
  74. 74.
    Salvo D, Reis RS, Sarmiento OL, Pratt M. 2014. Overcoming the challenges of conducting physical activity and built environment research in Latin America: IPEN Latin America. Prev. Med. 69:Suppl. 1S86–92
    [Google Scholar]
  75. 75.
    Salvo D, Sarmiento OL, Reis RS, Hino AAF, Bolivar MA et al. 2017. Where Latin Americans are physically active, and why does it matter? Findings from the IPEN-Adult Study in Bogota, Colombia; Cuernavaca, Mexico; and Curitiba, Brazil. Prev. Med. 103S:S27–33
    [Google Scholar]
  76. 76.
    Salvo D, Torres C, Villa U, Rivera JA, Sarmiento OL et al. 2015. Accelerometer-based physical activity levels among Mexican adults and their relation with sociodemographic characteristics and BMI: a cross-sectional study. Int. J. Behav. Nutr. Phys. Act. 12:79
    [Google Scholar]
  77. 77.
    Sarmiento OL, Higuera-Mendieta D, Wilches-Mogollon MA, Guzman LA, Rodríguez DA et al. 2020. Urban transformations and health: methods for TrUST—a natural experiment evaluating the impacts of a mass transit cable car in Bogotá, Colombia. Front. Public Health 8:64
    [Google Scholar]
  78. 78.
    Shephard RJ. 2019. Is there a ‘recent occupational paradox’ where highly active physically active workers die early? Or are there failures in some study methods?. Br. J. Sports Med. 53:1557–59
    [Google Scholar]
  79. 79.
    Simons A, Koekemoer K, van Niekerk A, Govender R. 2018. Parental supervision and discomfort with children walking to school in low-income communities in Cape Town, South Africa. Traffic Inj. Prev. 19:391–98
    [Google Scholar]
  80. 80.
    Taylor WC. 2022. Understanding variations in the health consequences of sedentary behavior: a taxonomy of social interaction, novelty, choice, and cognition. J. Aging Phys. Act. 30:153–61
    [Google Scholar]
  81. 81.
    United Nations 2020. Goal 11: Make cities inclusive, safe, resilient and sustainable. Sustainable Development Goals https://www.un.org/sustainabledevelopment/cities/
    [Google Scholar]
  82. 82.
    Varela AR, Pratt M, Harris J, Lecy J, Salvo D et al. 2018. Mapping the historical development of physical activity and health research: a structured literature review and citation network analysis. Prev. Med. 111:466–72
    [Google Scholar]
  83. 83.
    World Bank 2014. Passenger cars (per 1,000 people) DataBank, World Bank Washington, DC: https://web.archive.org/web/20140309232024/http://data.worldbank.org/indicator/IS.VEH.PCAR.P3/countries
    [Google Scholar]
  84. 84.
    World Bank 2019. Population, total (population by countries) DataBank, World Bank Washington, DC: https://data.worldbank.org/indicator/SP.POP.TOTL
    [Google Scholar]
  85. 85.
    World Bank 2022. Gini index data Poverty Inequal. Platf., World Bank Washington, DC: https://data.worldbank.org/indicator/SI.POV.GINI?name_desc=false
    [Google Scholar]
  86. 86.
    World Bank 2022. Gross domestic product (GDP) per capita Int. Comp. Prog., World Bank Washington, DC: https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD
    [Google Scholar]
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