Overweight and associated factors in Basic Education teachers during the Covid-19 pandemic: gender differentials
Palabras clave:
Body mass index, Coronavirus, Health surveys, Overweight, School teachersResumen
Objective
To estimate the prevalence of overweight among teachers in Minas Gerais during the Covid-19 pandemic and to review relevant gender associated factors.
Methods
Cross-sectional and analytical study, websurvey type, carried out with 15,641 teachers of public Basic Education in Minas Gerais, Brazil. Data collection took place from August to September 2020 with the use of a digital form. The dependent variable was overweight, calculated by the body mass index using the teachers’ self-reported weight and height. Poisson regression was used, with robust variance.
Results
Among the participating teachers, 52.4% were overweight. When stratified by gender, 51.1% women and 58.2% men were considered overweight, with a significant difference between them (p<0.001). There was a higher prevalence of overweight among women in the age group of 30 to 59 years (PR=1.39) and in women 60 years or older (PR=1.45) living in the metropolitan region of the state (PR=1.06) who had children (PR=1.19), who were not exercising (PR=1.09) and with a worse dietary pattern during the pandemic (PR=1.12), much afraid of Covid-19 (PR=1.04) and with anxiety and/or depression during the pandemic (PR=1.14). Among men, there was a higher prevalence of overweight among those individuals aged 30 to 59 years (PR=1.19), who lived with a spouse (PR=1.15) working more than 40 hours per week (PR=1.12) and those with the worst dietary pattern during the pandemic (PR=1.10).
Conclusion
The results showed a 52.4% prevalence of overweight teachers and different associated factors between the genders.
Citas
Zubery D, Kimiywe J, Martin HD. Prevalence of Overweight and Obesity, and Its Associated Factors Among Healthcare Workers, Teachers, and Bankers in Arusha City, Tanzania. Diabetes Metab Syndr Obes. 2021. https://doi.org/10.2147/DMSO.S283595
World Health Organization. Obesity and overweight. Geneva: Organization; 2022 [cited 2022 Apr 3]. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight
Costa CDS, Steele EM, Leite MA, Rauber F, Levy RB, et al. Mudanças no peso corporal na coorte NutriNet Brasil durante a pandemia de Covid-19. Rev Saude Publica. 2021;55:1-5. https://doi.org/10.11606/s1518-8787.2021055003457
Oliveira RARD, Moreira OC, Andrade Neto F, Amorim W, Costa EG, Marins CB. Prevalência de sobrepeso e obesidade em professores da Universidade Federal de Viçosa. Fisioter Mov. 2011;24(4):603-12. https://doi.org/10.1590/S0103-51502011000400003
Ministério da Saúde (Brasil). Vigitel Brasil 2019: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2019. Brasília: Ministério; 2020 [cited 2022 June 23]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/vigitel_brasil_2019_vigilancia_fatores_risco.pdf
Ministério da Saúde (Brasil). Vigitel Brasil 2021: vigilância de fatores de risco e proteção para doenças crônicas por inquérito telefônico: estimativas sobre frequência e distribuição sociodemográfica de fatores de risco e proteção para doenças crônicas nas capitais dos 26 estados brasileiros e no Distrito Federal em 2021. Brasília: Ministério; 2022 [cited 2022 June 23]. Available from: https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/publicacoes-svs/vigitel/vigitel-brasil-2021-estimativas-sobre-frequencia-e-distribuicao-sociodemografica-de-fatoresde-
risco-e-protecao-para-doencas-cronicas/@@download/file/vigitel-brasil-2021.pdf
Górnicka M, Drywień ME, Zielinska MA, Hamułka J. Dietary and Lifestyle Changes During COVID-19 and the Subsequent lockdowns among polish adults: a cross-sectional online survey PLifeCOVID-19 study. Nutrients. 2020;12(8):2324. https://doi.org/10.3390/nu12082324
Zheng C, Huang WY, Sheridan S, Sit CHP, Chen XK, Wong SHS. COVID-19 pandemic brings a sedentary lifestyle in young adults: a cross-sectional and longitudinal study. Int J Environ Res Public Health. 2020;17(17):6035. https://doi.org/10.3390/ijerph17176035
Botton A, Cúnico AD, Strey MN. Diferenças de gênero no acesso aos serviços de saúde: problematizações necessárias. Mudanças – Psicol Saude. 2017;25(1):67-72.
Secretaria de Estado de Educação de Minas Gerais. Relação de estabelecimentos de ensino ativos em Minas Gerais. Serra Verde: Secretaria. 2020 [cited 2021 Aug 9]. Available from: https://www2.educacao.mg.gov.br/parceiro/listade-escolas
Eysenbach G. Improving the quality of Web surveys: the Checklist for Reporting Results of Internet E-Surveys (CHERRIES). J Med Internet Res. 2004;6(3):e34. https://doi.org/10.2196/jmir.6.3.e34
World Health Organization. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. Geneva: Organization; 1995.
Ahorsu DK, Lin C, Imani V, Saffari M, Griffith MD, Pakpour AH. The Fear of COVID-19 Scale: development and initial validation. Int J Ment Health Addiction. 2022;20:1537-45. https://doi.org/10.1007/s11469-020-00270-8
Faro A, Silva LS, Santos DN, Feitosa ALB. The Fear of COVID-19 Scale adaptation and validation. Estud Psicol. 2022;39:e200121. https://doi.org/10.1590/1982-0275202239e200121
International Business Machines Corporation. Statistical Package for Social Sciences. Version 22.0 [software]. Chicago: IBM; 2020.
Oliveira RAR, Júnior RJM, Tavares DDF, Moreira OC, Lima LM, Amorim PRS, et al. Prevalence of obesity and association of body mass index with risk factors in public school teachers. Rev Bras Cineantropom Desempenho Hum. 2015;17(6):742-52. https://doi.org/10.1590/1980-0037.2015v17n6p742
Mota Júnior R, Oliveira RAR, Resende MFF, Lima LM, Franceschini SDCC, Marins JCB. Obesity and association of anthropometric indicators with risk factors in teachers. Rev Bras Cineantropom Desempenho Hum. 2017;19:720-29. https://doi.org/10.5007/1980-0037.2017v19n6p720
Muniz DD, Siqueira KS, Cornell CT, Fernandes-Silva MM, Muniz PT, Silvestre OM. Saúde cardiovascular ideal e estresse no trabalho: um estudo transversal da Amazônia brasileira. Arq Bras Cardiol. 2019;112:260-8. https://doi.org/10.5935/abc.20190005
Dias DF, Melanda FN, Santos ESD, Andrade SMD, Mesas AE, González AD. Professores com vínculo temporário apresentam maior frequência de consumo de alimentos pré-preparados. Cienc Saude Coletiva. 2020;25(7):2645-52. https://doi.org/10.1590/1413-81232020257.26372018
Mota VEC, Haikal DS, Magalhães TA, Silva NSS, Silva RRV. Dissatisfaction with body image and associated factors in adult women. Rev Nutr. 2020;33:e190185. https://doi.org/10.1590/1678-9865202033e190185
Sousa APDM, Pereira IC, Araujo LDL, Rocha MRD, Bandeira HMM, Lima LHDO. Prevalência e fatores associados ao excesso de peso em adultos nas capitais e no Distrito Federal, Brasil, 2019. Epidemiol Serv Saude. 2021;30(3):1-14. https://doi.org/10.1590/S1679-49742021000300014
Flint E, Cummins S, Sacker A. Associations between active commuting, body fat, and body mass index: population based, cross sectional study in the United Kingdom. BMJ. 2014;349:g4887. https://doi.org/10.1136/bmj.g4887
Melo SPSC, Cesse EÂP, Lira PICD, Ferreira LCCDN, Rissin A, Batista M. Sobrepeso, obesidade e fatores associados aos adultos em uma área urbana carente do Nordeste Brasileiro. Rev Bras Epidemiol. 2020;23:1-14. https://doi.org/10.1590/1980-549720200036
Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in obesity among adults in the United States, 2005 to 2014. JAMA. 2016;315(21):2284-91. https://doi.org/10.1001/jama.2016.6458
Silveira FDC, Fernandes CG, Almeida MDD, Aldrighi LB, Jardim VMDR. Prevalência de sobrepeso e obesidade em agentes comunitários de saúde na região sul do Rio Grande do Sul, 2017. Epidemiol Serv Saude. 2020;29(4):1-12. https://doi.org/10.5123/S1679-49742020000400013
Verza F, Sattler MK, Strey MN. Mãe, mulher e chefe de família: perspectivas de gênero na terapia familiar. Pensando Fam. 2015;19(1):46-60.
Samouda H, Ruiz-Castell M, Bocquet V, Kuemmerle A, Chioti A, Dadoun F, et al. Geographical variation of overweight, obesity and related risk factors: findings from the European Health Examination Survey in Luxembourg, 2013-2015. Plos One. 2018;13(6):e0197021. https://doi.org/10.1371/journal.pone.0197021
Thielinan J, Rosella L, Copes R, Lebenbaum M, Manson H. Neighborhood walkability: differential associations with self-reported transport walking and leisure-time physical activity in Canadian towns and cities of all sizes. Prev Med. 2015;77:174-80. https://doi.org/10.1016/j.ypmed.2015.05.011
Saldiva, P. Vida urbana e saúde: os desafios dos habitantes das metrópoles. 1th ed. São Paulo: Editora Contexto; 2018.
Streb AR, Matias TS, Leonel LDS, Tozetto WR, Vieira CG, Del Duca GF. Association between physical inactivity in leisure, work, commuting, and household domains and nutritional status in adults in the capital cities of Brazil. Rev Nutr. 2019;32:e180276. https://doi.org/10.1590/1678-9865201932e180276
Soares SSS, Lisboa MTL, Queiroz ABA, Silva KG, Leite JCRAP, Souza NVDO. Dupla jornada de trabalho na enfermagem: dificuldades enfrentadas no mercado de trabalho e cotidiano laborala. Esc Anna Nery. 2021;25(3):e20200380. https://doi.org/10.1590/2177-9465-EAN-2020-0380
Dagne S, Gelaw YA, Abebe Z, Wassie MM. Factors associated with overweight and obesity among adults in northeast Ethiopia: a cross-sectional study. Diabetes Metab Syndr Obes. 2019;12:391-9. https://doi.org/10.2147/DMSO.S179699
Sá Silva SPD, Sandre-Pereira G, Salles-Costa R. Fatores sociodemográficos e atividade física de lazer entre homens e mulheres de Duque de Caxias/RJ. Cienc Saude Coletiva. 2011;16:4491-501.
Skoutiers H, McCabe M, Milgorm J, Kent B, Bruce LJ, Mihalopoulos C, et al. Protocol for a randomized controlled trial of a specialized health coaching intervention to prevent excessive gestational weight gain and postpartum weight retention in women: the HIPP study. BMC Public Health. 2012;12(78):1-9.
Nogueira JL, Saunders C, Leal MDC. Métodos antropométricos utilizados na avaliação da retenção do peso no período pós-parto: uma revisão sistemática. Cienc Saude Coletiva. 2015;20(2):407-20. https://doi.org/10.1590/1413-81232015202.08112013
Dias DF, Loch MR, González AD, Andrade SMD, Mesas AE. Atividade física insuficiente no tempo livre e fatores ocupacionais em professores de escolas públicas. Rev Saude Publica. 2017;51(68):1-10. https://doi.org/10.1590/S1518-8787.2017051006217
Testa S, Vieira SV, Cândido FP, Both J. Saúde e estilo de vida de docentes considerando o nível de atividade física no lazer durante a pandemia de COVID-19. SciELO Preprints. 2021. https://doi.org/10.1590/SciELOPreprints.2459
Malta DC, Szwarcwald CL, Barros MBDA, Gomes CS, Machado ÍE, Souza PR, et al. A pandemia da COVID-19 e as mudanças no estilo de vida dos brasileiros adultos: um estudo transversal, 2020. Epidemiol Serv Saude. 2020;29(4):e2020407. https://doi.org/10.1590/S1679-49742020000400026
Cabral LL, Diesel DAF, Cavazzotto TG, Ferreira SA, Queiroga MR. Estágios de mudança de comportamento para a prática de atividades físicas e indicadores de obesidade em professores universitários. Cinergis. 2013;14(14):181-5.
Silva RRV, Moreira AD, Magalhães TA, Vieira MRM, Haikal DSA. Fatores associados à prática de atividade física entre professores do nível básico de ensino. J Phys Educ. 2019;30:e3037. https://doi.org/10.4025/jphyseduc.v30i1.3037
Lancet Public Health. Time to tackle the physical activity gender gap. Lancet Public Health. 2019;4(8):e360. https://doi.org/10.1016/S2468-2667(19)30135-5
Bhutani S, Cooper J.A. COVID-19-Related Home confinement in adults: weight gain risks and opportunities. Obesity. 2020;28:1576-77. https://doi.org/10.1002/oby.22904
Ministério Da Saúde (Brasil). Guia alimentar para a população brasileira. 2nd ed. Brasília: Ministério; 2014 [cited 2021 Aug 3]. Available from: https://bvsms.saude.gov.br/bvs/publicacoes/guia_alimentar_populacao_brasileira_2ed.pdf
Sidor A, Rzymski P. Dietary Choices and Habits during COVID-19 Lockdown: experience from Poland. Nutrients. 2020;12(6):e1657. https://doi.org/10.3390/nu12061657
Ribeiro-Silva RDC, Pereira M, Campello T, Aragão É, Guimarães JMDM, Ferreira AJ, et al. Implicações da pandemia COVID-19 para a segurança alimentar e nutricional no Brasil. Cienc Saude Coletiva. 2020;25(9):3421-30. https://doi.org/10.1590/1413-81232020259.22152020
Blandón DAS, León TC, Durango MPP, Tejada-Tayabas LM, Lucio AGP. Ansiedad, depresión y actividad física asociados a sobrepeso/obesidad en estudiantes de universidades mexicanas. Hacia Promoc Salud. 2016;21(2):99-113.
Borges KM, Figueiredo FWS, Souto RP. Night eating syndrome and emotional states in university students. J Hum Growth Dev. 2017;27(3):132-9. https://doi.org/10.7322/jhgd.141277
Costa CO, Branco JC, Vieira IS, Souza LDM, Silva RA. Prevalencia de ansiedade e fatores associados em adultos. J Bras Psiquiatr. 2019;68(2):92-100. https://doi.org/10.1590/0047-2085000000232
Mertens G, Gerritsen L, Duijndam S, Salemink E, Engelhard IM. Fear of the coronavirus (COVID-19): predictors in an online study conducted in March 2020. J Anxiety Disord. 2020;74:102258. https://doi.org/10.1016/j.janxdis.2020.102258
Wang Y, Li Q, Tarimo CS, Wu C, Miao Y, Wu J. Prevalence and risk factors of worry among teachers during the COVID-19 epidemic in Henan, China: a cross-sectional survey. BMJ Open. 2021;11(7):e045386. http://dx.doi.org/10.1136/bmjopen-2020-045386
Li Q, Miao Y, Zeng X, Tarimo CS, Wu C, Wu J. Prevalence and factors for anxiety during the coronavirus disease 2019 (COVID-19) epidemic among the teachers in China. J Affect Disord. 2020;277:153-8. https://doi.org/10.1016/j.jad.2020.08.017
Conde WL, Oliveira DR, Borges CA, Baraldi LG. Consistência entre medidas antropométricas em inquéritos nacionais. Rev Saude Publica. 2013;47:69-76.
Pursey K, Burrows TL, Stanwell P, Collins CE. How accurate is web-based self-reported height, weight, and body mass index in young adults? J Med Internet Res. 2014;16:e4.
Boni RBD. Websurveys en tiempos de la COVID-19. Cad Saude Publica. 2020;36(7):e00155820. https://doi.org/10.1590/0102-311X00155820
