Preditores de inatividade física em adultos
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Mar 21, 2025
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Resumo
Objetivo: Mapear preditores da Inatividade Física em adultos. Métodos: Revisão de escopo, baseada na extensão PRISMA ScR, que incluiu estudos observacionais, longitudinais e intervencionais, sem restrição de idiomas e ano de publicação. Adotou-se estratégia PCC (População, Conceito, Contexto). Foram fonte de evidência bases, repositórios e diretórios de dados (MEDLINE via EBSCO; Web of Science; Scopus; LILACS via BVS; Cochrane Library; SPORTDiscus; EMBASE e Cinahl. Como literatura cinzenta, fez-se buscas no Google Acadêmico, Open Gray e BDTD). Resultados: Constatou-se aumento dos estudos na temática e 89 foram incluídos na revisão. Os resultados apontaram diversidade de delineamento amostral, geográfico e populacional. Dentre os preditores encontrados, destacam-se: idade, ambiente, escolaridade, estado nutricional, autoeficácia, sexo e estilo de vida, variáveis em sua maioria modificáveis, que caracterizam elementos do sujeito em seu contexto social. Considerações Finais: Conhecer os preditores de Inatividade Física possibilita o desenvolvimento intervenções, ações e políticas específicas, que auxiliem na promoção de atividade física para saúde de diferentes populações.
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Como Citar
PereiraD. S., MattosS. M., FlorêncioR. S., CestariV. R. F., & MoreiraT. M. M. (2025). Preditores de inatividade física em adultos. Revista Eletrônica Acervo Saúde, 25, e19154. https://doi.org/10.25248/reas.e19154.2025
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4. AMORIM TC, et al., Physical activity levels according to physical and social environmental factors in a sample of adults living in South Brazil. Journal of physical activity and health, 2010; 7(s2):S204-S12
5. APARICIO-TING FE, ET AL. Predictors of physical activity at 12 month follow-up after a supervised exercise intervention in postmenopausal women. International Journal of Behavioral Nutrition and Physical Activity, 2015; 12(1):1-12.
6. ARIGO D, et al. Predicting change in physical activity: A longitudinal investigation among weight-concerned college women. Annals of Behavioral Medicine, 2016; 50(5):629-41.
7. ARMSTRONG KL. Correlates and predictors of black women’s physical activity: Afrocentric insights. Journal of black studies, 2013; 44(6):627-45.
8. BARG CJ, et al. Examining predictors of physical activity among inactive middle-aged women: An application of the health action process approach. Psychology & Health, 2012; 27(7):829-45.
9. BARUTH M, et al. Emotional outlook on life predicts increases in physical activity among initially inactive men. Health Education & Behavior, 2011; 38(2):150-8.
10. BECERRA MB, et al. Social determinants of physical activity among adult Asian-Americans: results from a population-based survey in California. Journal of immigrant and minority health, 2015; 17(4):1061-1069.
11. CASPERSEN CJ, Powell KE, Christenson GM. Atividade física, exercício e aptidão física: definições e distinções para pesquisas relacionadas à saúde. Relatórios de saúde pública, 1985; 100(2):126.
12. CAVAZZOTTO TG. Preditores ecológicos da atividade física nas capitais brasileiras 2006-2016. Tese (Doutorado em Educação Física) - Centro de Ciências da Saúde. Universidade Estadual de Londrina, Loindrina, 2019; 166 p.
13. CELIS-MORALES C, et al. Socio-demographic patterns of physical activity and sedentary behaviour in Chile: results from the National Health Survey 2009–2010. Journal of Public Health, 2016; 38(2):e98-e105.
14. CLELAND V, et al. Social-ecological predictors of physical activity patterns: A longitudinal study of women from socioeconomically disadvantaged areas. Preventive medicine, 2020; 132:105995.
15. COTTER KA, Lachman ME. No strain, no gain: psychosocial predictors of physical activity across the adult lifespan. Journal of physical activity and health, 2010; 7(5):584-94
16. CUADERES ET. Predictors of leisure-time physical activity in adult Native American women. Doctor (Doctor of Philosophy in Nursing Sciences). Graduate School of the Texa Woman’s University, Texas, 2000.
17. DAI S, et al. Predictors of decreased physical activity level over time among adults: a longitudinal study. American journal of preventive medicine, 2014; 47(2):123-30.
18. DEL DUCA G, et al. Clustering of physical inactivity in leisure, work, commuting and household domains among Brazilian adults. Public health, 2013; 127(6):530-7.
19. DENNISON BA, Straus JH, Mellits ED, Charney E. Childhood physical fitness tests: predictor of adult physical activity levels. Pediatrics, 1988; 82(3):324-30.
20. DEVLIN JT, et al. Determinants of Physical Activity in Somali Women Living in Maine. Journal of immigrant and minority health, 2012; 14(2):300-306.
21. DODD LJ, et al. Predicting physical activity behaviour in male and female young adults. Note To Contributors, 2012; 43:542-55.
22. DUMITH SC, et al. Health predictors and conditions associated to moderate and vigorous physical activity among adults and elderly from Southern Brazil. Revista Brasileira de Epidemiologia, 2019; 22:e190023.
23. EATON CB, et al. Predicting physical activity change in men and women in two New England communities. American journal of preventive medicine, 1993; 9(4):209-19.
24. FLORÊNCIO RS. Vulnerabilidade em saúde: uma clarificação conceitual. Tese de Doutorado (Doutorado em Saúde Coletiva) - Centro de Ciências da Saúde, Universidade Estadual do Ceará, Fortaleza, 2018.
25. FURLANETTO KC. Redução do nível de atividade física na vida diária e seus fatores determinantes em tabagistas sem obstrução ao fluxo aéreo. Dissertação (Mestrado em ciências da Reabilitação) - Centro de Ciências da Saúde. Universidade Estadual de Londrina, Londrina, 2013; 99 p.
26. GARCÍA-FERNÁNDEZ J, J, et al. Determinants of physical activity performed by young adults. International journal of environmental research and public health, 2019; 16(21):4061.
27. GICHU M, et al. Prevalence and predictors of physical inactivity levels among Kenyan adults (18–69 years): An analysis of STEPS survey 2015. BMC public health, 2018; 18(3):1-7.
28. GOMES CS, et al. Physical and social environment are associated to leisure time physical activity in adults of a brazilian city: a cross-sectional study. PLoS One, 2016; 11(2):e0150017.
29. GOMEZ P, et al. Psychological predictors of the combined adoption of physical exercise and dietary change among adults with hypercholesterolemia. Revue d'epidemiologie et de sante publique, 2018; 66(4):281-9.
30. HALLAL PC, et al. Physical inactivity: prevalence and associated variables in Brazilian adults. Medicine & Science in Sports & Exercise, 2003; 35(11):1894-900.
31. HARDY EC. Dimensions of racial identity as predictors of physical activity in midlife African American women. Doctoral dissertation (Doctor of Philosophy in Nursing Sciences). University of Illinois at Chicago,Chicago, 2012.
32. HART PD, et al. Correlates and predictors of physical inactivity among Tennessee adults. Tennessee medicine: journal of the Tennessee Medical Association, 2010; 103(9):41-4.
33. HIGGINS LC, Oldenburg B. Desire as a determinant of physical activity: evidence from a sample of young adult females. Psychology and Health, 1999; 14(2):309-21.
34. HOARE E. et al. Exploring motivation and barriers to physical activity among active and inactive Australian adults. Sports, 2017; 5(3):47.
35. HOSSEINI H, et al. Determinants of physical activity in middle-aged woman in Isfahan using the health belief model. Journal of education and health promotion, 2017;6.
36. INOUE S, et al. Sociodemographic determinants of pedometer-determined physical activity among Japanese adults. American journal of preventive medicine, 2011; 40(5):566-71.
37. IRONSIDE A, A, et al. Cultural connectedness as a determinant of physical activity among Indigenous adults in Saskatchewan. Applied Physiology, Nutrition, and Metabolism, 2020; 45(9):937-947.
38. ITOH H, et al. Leisure-time physical activity in youth as a predictor of adult leisure physical activity among Japanese workers: a cross-sectional study. Environmental health and preventive medicine, 2017; 22(1):1-8.
39. JAMIL AT, et al. Non-leisure time physical activity for adult Malaysian and determinant factors. Malaysian Journal of Public Health Medicine, 2015; 15(3):84-93.
40. KARUNANAYAKE A, et al. A descriptive cross sectional study comparing barriers and determinants of physical activity of Sri Lankan middle aged and older adults. PLoS One, 2020; 15(5):e0232956.
41. KIM HK, Et al., Gender differences in physical activity and its determinants in rural adults in Korea. Journal of clinical nursing, 2010; 19(5‐6):876-83.
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