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Overweight and associated factors in Basic Education teachers during the Covid-19 pandemic: gender differentials

Excesso de peso e fatores associados entre professores da Educação Básica durante a pandemia de Covid-19: diferenciais de sexo

ABSTRACT

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.

Keywords
Body mass index; Coronavirus; Health surveys; Overweight; School teachers

RESUMO

Objetivo

Estimar a prevalência de excesso de peso entre professores de Minas Gerais durante a pandemia de Covid-19 e analisar os fatores associados segundo o sexo.

Métodos

Estudo transversal e analítico, do tipo websurvey, realizado com 15.641 professores da educação básica pública de Minas Gerais, Brasil. A coleta de dados ocorreu de agosto a setembro de 2020, via formulário digital. A variável dependente foi o excesso de peso, calculado pelo índice de massa corporal através do peso e altura autorreferidos pelos professores. Utilizou-se a Regressão de Poisson, com variância robusta.

Resultados

Entre os professores participantes, 52,4% estavam com excesso de peso. Quando estratificado por sexo, 51,1% das mulheres e 58,2% dos homens estavam com excesso de peso, apresentando diferença significativa entre eles (p<0,001). Houve maior prevalência de excesso de peso entre as mulheres de 30 a 59 anos (RP=1,39) e 60 anos ou mais (RP=1,45), da região metropolitana do Estado (RP=1,06), com filhos (RP=1,19), que não estavam praticando exercício físico durante a pandemia (RP=1,09), com pior padrão alimentar durante a pandemia (RP=1,12), com muito medo da Covid-19 (RP=1,04) e com ansiedade e/ou depressão durante a pandemia (RP=1,14). Entre os homens, houve maior prevalência de excesso de peso entre aqueles de 30 a 59 anos (RP=1,19), que viviam com cônjuge (RP=1,15), que trabalhavam mais de 40 horas semanais (RP=1,12) e aqueles com pior padrão alimentar durante a pandemia (RP=1,10).

Conclusão

Os resultados evidenciaram que 52,4% dos professores respondentes estavam com excesso de peso, tendo sido encontrados diferentes fatores associados entre os sexos.

Palavras-chave
Índice de massa corporal; Coronavirus; Inquérito epidemiológico; Excesso de peso; Professores escolares

INTRODUCTION

Teaching work is associated with low energy expenditure, being one of the professions with a higher risk of developing overweight and obesity, when compared to the general population [11 Zubery D, Kimiywe J, Martin HD. Prevalence of Overweight and Obesity, and Its Associated Factors Among Health-care Workers, Teachers, and Bankers in Arusha City, Tanzania. Diabetes Metab Syndr Obes. 2021. https://doi.org/10.2147/DMSO.S283595
https://doi.org/10.2147/DMSO.S283595...
]. The reasons for overweight development are reported in the literature [22 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
https://www.who.int/news-room/fact-sheet...
] and include individual conditions, such as energy imbalance between calories intake and calories expended, due to changes in eating habits, physical exercise, watching television, smartphone and computer use [22 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
https://www.who.int/news-room/fact-sheet...
,33 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
https://doi.org/10.11606/s1518-8787.2021...
]. There are also collective issues that include policies for health education access, urban planning and transportation, food processing and distribution, among others [22 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
https://www.who.int/news-room/fact-sheet...
]. In addition, due to the number of low-intensity activities, teacher’s work is considered as a sedentary activity [44 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):603-612. https://doi.org/10.1590/S0103-51502011000400003
https://doi.org/10.1590/S0103-5150201100...
].

According to the World Health Organization (WHO), the prevalence of overweight individuals in the world population was 39% [22 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
https://www.who.int/news-room/fact-sheet...
]. In Brazil, data from Vigitel, the Ministry of Health’s surveillance system that monitors determinants of chronic non-communicable diseases in the adult population of the 26 capitals and the Federal District of the country, indicate that overweight has expanded. In 2019, before the outbreak of the Coronavirus disease 2019 (Covid-19) pandemic, prevalence of overweight was 55.4% and in 2021, during the pandemic, a prevalence of 57.2% was observed [55 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
https://bvsms.saude.gov.br/bvs/publicaco...
,66 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-fatores-de-risco-e-protecao-para-doencas-cronicas/@@download/file/vigitel-brasil-2021.pdf
https://www.gov.br/saude/pt-br/centrais-...
]. Also, the assessment of a Brazilian cohort composed of 14,259 adults found a 49.0% overweight prevalence during the pandemic [33 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
https://doi.org/10.11606/s1518-8787.2021...
].

With the emergence of the pandemic, some conditions contributed to the development of overweight among teachers. The implementation of social distancing (as a public health measure) affected the diet, made physical exercise and leisure activities difficult [77 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
https://doi.org/10.3390/nu12082324...
]. These conditions associated with remote teaching and more screen time, increased sedentary behavior and reduced energy expenditure, which consequently contributed to the development of overweight [88 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
https://doi.org/10.3390/ijerph17176035...
].

Based on the literature, women and men differ in relation to health care, with males having worse habits, less self-care and being more prone to risk factors [99 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.]. Therefore, the present study aimed to estimate the prevalence of overweight among public Basic Education teachers in the State of Minas Gerais during the Covid-19 pandemic and to review its associated factors, stratified by gender.

METHODS

This study is part of the project “Health and work conditions among teachers of the state education network in the State of Minas Gerais during the Covid-19 pandemic”. This is a cross-sectional and analytical study, websurvey type, carried out with Basic Education teachers from public schools in the State of Minas Gerais, Brazil. The State of Minas Gerais had 90,000 Basic Education teachers in 2020. Those teachers worked in 3,441 schools [1010 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/lista-de-escolas
https://www2.educacao.mg.gov.br/parceiro...
]. As this is a websurvey study, the instructions of the Checklist for Reporting Results of Internet E-Surveys [1111 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
https://doi.org/10.2196/jmir.6.3.e34...
] were followed.

For the sample size, a formula was used considering infinite populations. The following were considered: prevalence of 50%, 3% error, deff=2 and 20% addition to compensate for potential losses. Thus, a minimum sample of 2,564 teachers was formed.

The inclusion criteria were: be teaching in the year 2020, working within the scope of early childhood education, elementary and/or high school, having a link with a public school in the state and freely accepting to participate in the study. Retired teachers and those working in a position other than teaching did not participate. There was no restriction on the participation of teachers who were on sick leave.

The survey was disseminated by e-mail and on the social media of the Secretaria de Estado de Educação de Minas Gerais (SEE-MG, Minas Gerais State Department of Education), aiming to raise awareness among participants. A pilot study was carried out with the participation of a total of 20 teachers from five municipalities to test and correct the data collection instrument,

The survey took place from August 20 to September 11, 2020. Data collection was carried out using an online form, made available to teachers via the Google Forms® platform. The form link was forwarded by SEE-MG to the teachers’ institutional e-mail in the state. To avoid robotic form completion systems, reCAPTCHA was used. In order to minimize information loss all the instrument questions should be responded. The study ensured the anonymity of the participants. Completion of the form took approximately 25 minutes.

In this work we adopted the teachers’ overweight as a dependent variable. To estimate overweight, the Body Mass Index (BMI) “weight (kg) / height (m)2” was calculated through the teachers’ self-reported weight and height. Individuals were classified according to their BMI using the cutoff points established by the WHO: eutrophic ≤24.9 Kg/m2, overweight from 25 to 29.9 Kg/m2 and obese ≥30 Kg/m2 [1212 World Health Organization. Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee. Geneva: Organization; 1995.]. For the present study, BMI levels were categorized as not overweight (BMI <25 Kg/m2) and overweight (BMI ≥25 Kg/m2). In order to improve the reliability of the results, teachers who reported being pregnant at the time of the survey were excluded from the analysis.

The independent variables were organized in blocks of subjects, such as the demographic characteristics: age, state metropolitan region, lives with spouse and has children. The age variable was collected in complete years on the date of the survey and subsequently categorized as follows: 30 years of age; 30 to 59 years; 60 years or older. The metropolitan region refers to the state school where the teacher worked and covers the state capital and the municipalities around it.

Working conditions: weekly teaching hours, dissatisfaction with teaching work during the pandemic and had a lot of difficulty with teaching work during the pandemic. The hours of weekly teaching were collected in numerical format and afterwards categorized as less than 40 hours; 40 hours or more.

Lifestyle and health: physical exercise during the pandemic as well as daily computer use, eating during the pandemic, adherence to social distancing, tested positive for Covid-19, showed great fear of Covid-19, anxiety and/or depression during the pandemic (referring to self-reported medical diagnosis) and the pandemic affected sleep quality. Computer use per day during the pandemic was collected in numerical format and then categorized in less than 4 hours; 4 hours or more. To describe the food variable, a two-step cluster analysis was performed, through the inclusion of nine questions (consumption of vegetables/legumes, fruits, beans, whole foods, processed foods, frozen foods, packaged snacks, chocolate/sweets and artificial soft drinks/juices). The analysis revealed two clusters capable of discriminating patterns of eating behaviors, being classified as “best” vs “worst” eating pattern. The fear of Covid was measured by the Fear of Covid-19 Scale already validated for Brazil [1313 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;20:1537-1545. https://doi.org/10.1007/s11469-020-00270-8
https://doi.org/10.1007/s11469-020-00270...
-1414 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
https://doi.org/10.1590/1982-0275202239e...
]. This is an instrument that investigates people’s fear of Covid-19. The scale presents items that are answered on a Likert-type scale. The total score was obtained based on the sum of the items (ranging from 7 to 35 points), being categorized as “much afraid” presenting 27 or more points.

Data were analyzed using the SPSS®IBM® (version 22.0) [1515 International Business Machines Corporation. Statistical Package for Social Sciences. Version 22.0 [software]. Chicago: IBM; 2020.]. The simple and relative frequencies of the variables were presented. These analyses were stratified by gender. For the analysis of the factors associated with overweight, bivariate analyses were previously performed using Pearson’s Chi-square statistical test and the crude Prevalence Ratio (PR) and the 95% Confidence Interval (95% CI) of the independent variables in relation to the dependent one. Only the variables that presented p-value ≤0.20 were initially selected to compose the multiple model through Poisson Regression, with robust variance, having as reference the teachers who were not overweight. The magnitude of the associations of the multiple model was estimated by the adjusted PR, 95% CI and 5% significance level. To assess the quality of the models, the Deviance test was used.

The project was submitted to the Research Ethics Committee of the State University of Montes Claros (Unimontes), with opinion nº 4,200,389, approved in August 2020. All professors received the Free and Informed Consent Form. The research complied with resolution nº 466/12 of the National Health Council/Ministry of Health, which deals with human research.

RESULTS

A total of 15,641 teachers participated in the study, covering 93.2% of Minas Gerais municipalities. Among those teachers, 81.9% were women and 89.2% were between 30 and 59 years of age, 66.8% lived with a spouse, 33.7% were dissatisfied with their teaching work during the pandemic, 50.5% had a worst dietary pattern and 43.7% were much afraid of Covid-19.

Teachers with excess weight were 52.4%; 28.5% were overweight and 23.9% obese. Regarding the gender, 51.1% of the women and 58.2% of the men were overweight, with a statistically significant difference between them (p<0.001) (Figure 1).

Figure 1
Prevalence of overweight among teachers of public Basic Education in Minas Gerais, total and stratified by gender. Minas Gerais (MG), 2020, Brazil. (n=15.641).

Tables 1 and 2 present the results of the bivariate analysis and crude PR, for women and men, respectively. Among women, only the independent variables daily computer use during the pandemic and adherence to social distancing were not associated with being overweight at the 20% significance level (Table 1). Among men, the independent variables metropolitan region, a lot of difficulty with work, computer use per day during the pandemic, adherence to social distancing and much fear of Covid-19, were also not associated with overweight at 20% significance level and were not initially considered in the multiple modeling (Table 2).

Table 1
Overweight among female teachers of public Basic Education in Minas Gerais according to their demographic characteristics, working conditions, lifestyle and health. Minas Gerais (MG), 2020. (n= 12.817).
Table 2
Overweight among male public Basic Education teachers in Minas Gerais according to demographic characteristics, working conditions, lifestyle and health. Minas Gerais (MG), Brazil, 2020. (n=2.824).

Table 3 presents the multiple models fit for women and men. There was a higher prevalence of overweight among women aged 30 to 59 years (PR=1.39; 95% CI: 1.25;1.54) and 60 years or older (PR=1.45; 95% CI: 1.27;1.67), those from the metropolitan region of the state (PR=1.06; 95% CI: 1.02;1.10), with children (PR=1.19; 95% CI: 1.14;1.25), who were not exercising during the pandemic (PR=1.09; 95% CI: 1.05;1.12), with a worse dietary pattern during the pandemic (PR=1.12; 95% CI: 1.08;1.16), much afraid of Covid-19 (PR=1.04; 95% CI: 1.01;1.08) and with anxiety and/or depression during the pandemic (PR=1.14; 95% CI: 1.10;1.18) (Table 3).

Table 3
Analysis of the fit Poisson Regression, having the absence of overweight as the reference category among teachers of public Basic Education in Minas Gerais, stratified by gender. Minas Gerais (MG), Brazil, 2020. (Women: n=12.817 / Men: n=2.824).

As for men, there was a higher prevalence of overweight among individuals aged between 30 and 59 years (PR=1.19; 95% CI: 1.06;1.33), who lived with a spouse (PR=1, 15; 95% CI: 1.07;1.23), working more than 40 hours per week (PR=1.12; 95% CI: 1.05;1.21) and with a worse dietary pattern during the pandemic (PR=1.10; 95% CI: 1.03;1.18) (Table 3).

The statistics of the Deviance tests obtained in the final multiple models were equal to 0.674 (p-value=0.489) for the women’s model and 0.623 (p-value=0.420) for the men’s model; they both indicated adequate fit of the model (Table 3).

DISCUSSION

This study found a high prevalence of overweight public school teachers in the State of Minas Gerais during the Covid-19 pandemic and its association with sociodemographic, behavioral and health factors. Among women, the greatest overweight prevalence was observed in older women, who worked in the metropolitan region of the state, had children and were not exercising, with a worse dietary pattern, with much fear of Covid-19 and with diagnosis of anxiety and/or depression. Among men, a higher prevalence of overweight was observed among those aged between 30 and 59 years, living with a spouse, working more than 40 hours a week and with a worse dietary pattern.

The prevalence of overweight observed in more than half of the teachers is a relevant nutritional diagnosis for the health of this category of workers, since this condition represents a serious public health issue. These results are similar to those of other studies carried out with teachers before the pandemic in relation to excess body weight and also with the Brazilian population in general [1616 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):742-752. https://doi.org/10.1590/1980-0037.2015v17n6p7427
https://doi.org/10.1590/1980-0037.2015v1...

17 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;19:720-729. https://doi.org/10.5007/1980-0037.2017v19n6p720
https://doi.org/10.5007/1980-0037.2017v1...

18 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;112:260-268. https://doi.org/10.5935/abc.20190005
https://doi.org/10.5935/abc.20190005...

19 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):2645-2652. https://doi.org/10.1590/1413-81232020257.26372018
https://doi.org/10.1590/1413-81232020257...

20 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
https://doi.org/10.1590/1678-9865202033e...
-2121 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
https://doi.org/10.1590/S1679-4974202100...
].

When stratified by gender, it was observed that the prevalence of overweight was higher among men (58.2%) than among women (51.1%), with a statistically significant difference between them. The difference between women and men in relation to overweight was also found in a previous study that was representative of the Brazilian adult population; again in this case a prevalence of overweight among men was observed [2121 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
https://doi.org/10.1590/S1679-4974202100...
]. This may indicate that women would be more aware of the health benefits of caring for the body [2222 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
https://doi.org/10.1136/bmj.g4887...
].

Greater overweight prevalence was observed in the present study, between women and men aged between 30 and 59 years; in addition women aged 60 years or older also exhibited overweight prevalence. Similar results were found in studies carried out with the Brazilian adult population. Greater overweight prevalence was observed between men and women aged 35 to 54 years [2121 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
https://doi.org/10.1590/S1679-4974202100...
]. On the other hand, a study conducted only with women, it was found that women aged 50 to 60 years had a higher prevalence of obesity [2222 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
https://doi.org/10.1136/bmj.g4887...
]. These data also coincide with a study that identified a lower overweight prevalence among younger adults [2323 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
https://doi.org/10.1590/1980-54972020003...
]. In other studies, it was shown that the prevalence of overweight and obesity tends to increase with age [2424 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):2284-2291. https://doi.org/10.1001/jama.2016.6458
https://doi.org/10.1001/jama.2016.6458...
,2525 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
https://doi.org/10.5123/S1679-4974202000...
]. Such a relationship occurs due to biological characteristics, hormonal changes, reduction of muscle mass, less energy for physical exercise and the menopause process among women, but it may also be associated with the reduction of health care [11 Zubery D, Kimiywe J, Martin HD. Prevalence of Overweight and Obesity, and Its Associated Factors Among Health-care Workers, Teachers, and Bankers in Arusha City, Tanzania. Diabetes Metab Syndr Obes. 2021. https://doi.org/10.2147/DMSO.S283595
https://doi.org/10.2147/DMSO.S283595...
,2323 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
https://doi.org/10.1590/1980-54972020003...
,2626 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.,2727 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
https://doi.org/10.1371/journal.pone.019...
].

Within the framework of the Covid-19 pandemic, we could expect that older teachers faced greater difficulties in adapting to the remote work routine, including the use of new technologies. Therefore, they may have dedicated more time than usual to work, spending more time sitting in front of the computer and, finally, reducing the time for exercise and personal care.

In the present study, we found a prevalence of overweight women working in the metropolitan region of the state. Working and living in large cities is possibly associated with less time for activities that cause energy expenditure. Instead passive commuting to work, less time for physical exercise and fast food diets become the rule as people living in large cities rush through life, and these habits constitute risk factors for non-communicable chronic diseases [2828 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;77:174-180. https://doi.org/10.1016/j.ypmed.2015.05.011
https://doi.org/10.1016/j.ypmed.2015.05....

29 Saldiva P. Vida urbana e saúde: os desafios dos habitantes das metrópoles. 1th ed. São Paulo: Editora Contexto; 2018.

30 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
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-3131 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
https://doi.org/10.1590/2177-9465-EAN-20...
].

Although, the variable “living with a spouse” was included in the multiple model for both genders it remained associated with overweight only among men in the fit model. Previous studies also showed a relationship between overweight or obesity and being in a stable relationship with a spouse [11 Zubery D, Kimiywe J, Martin HD. Prevalence of Overweight and Obesity, and Its Associated Factors Among Health-care Workers, Teachers, and Bankers in Arusha City, Tanzania. Diabetes Metab Syndr Obes. 2021. https://doi.org/10.2147/DMSO.S283595
https://doi.org/10.2147/DMSO.S283595...
,2525 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
https://doi.org/10.5123/S1679-4974202000...
,3232 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;12:391-399. https://doi.org/10.2147/DMSO.S179699
https://doi.org/10.2147/DMSO.S179699...
]. Studies suggest that this is because people who live in a stable relationship have greater social support and less concern about appearance, in addition to paying less attention to nutritional factors, such as increased consumption of caloric foods [33 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
https://doi.org/10.11606/s1518-8787.2021...
,3232 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;12:391-399. https://doi.org/10.2147/DMSO.S179699
https://doi.org/10.2147/DMSO.S179699...
].

The variable “having children” showed a similar behavior and was, therefore, included in the multiple model for both genders. However, overweight was only observed among women in the fit model. The double working day, especially for women who have children, further reduces the time available for physical activity and leisure, contributing to greater sedentary behavior [3131 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
https://doi.org/10.1590/2177-9465-EAN-20...
,3333 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;16:4491-4501.]. Added to this is the fact that overweight gain during pregnancy can be difficult for women to eliminate and to return to their previous weight after pregnancy [3434 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.,3535 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):407-420. https://doi.org/10.1590/1413-81232015202.08112013
https://doi.org/10.1590/1413-81232015202...
].

The results of the present study also showed an association between overweight and teachers working more than 40 hours a week. This corroborates a study that evaluated the level of physical exercise of public school teachers and that showed that 67.6% of teachers working more than 40 hours a week were inactive or insufficiently active. Thus, a longer working time per week may be associated with less time available for health care [3636 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
https://doi.org/10.1590/S1518-8787.20170...
].

Regarding the practice of physical exercise during the pandemic, the fit model showed a higher prevalence of overweight among women who were not exercising, and that there was also a loss of statistical significance with regard to men. A Brazilian study carried out with teachers during the pandemic found that 60.8% were physically inactive [3737 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
https://doi.org/10.1590/SciELOPreprints....
]. This result was also seen in a study that evaluated the physical exercise level of Brazilians before and during the pandemic, which found a reduction in physical exercise levels for both genders, but for women, the reduction was even more relevant [3838 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
https://doi.org/10.1590/S1679-4974202000...
]. Studies conducted before the pandemic, with university professors and with teachers from public schools in small and medium-sized municipalities [3939 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):181-185.,3636 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
https://doi.org/10.1590/S1518-8787.20170...
,4040 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
https://doi.org/10.4025/jphyseduc.v30i1....
], also found that female teachers were considered inactive or insufficiently active more frequently than men. Over the years, it has been reported in the literature that women are less physically active since childhood, and this may be explained by social factors [4141 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
https://doi.org/10.1016/S2468-2667(19)30...
]. With the restriction of suitable places to perform physical exercise and longer time indoors, there was a significant reduction in caloric expenditure, leading to an increase in body weight [4242 Bhutani S, Cooper J.A. COVID-19-Related Home confinement in adults: weight gain risks and opportunities. Obesity. 2020;28:1576-1577. https://doi.org/10.1002/oby.22904
https://doi.org/10.1002/oby.22904...
].

Having a worse dietary pattern during the pandemic – i.e. greater consumption of ultra-processed foods – was also associated with a higher prevalence of overweight in both genders [4343 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
https://bvsms.saude.gov.br/bvs/publicaco...
]. This corroborates a Brazilian study that showed that consumption of ultra-processed foods twice or more times a week increased in both genders during the pandemic [3838 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
https://doi.org/10.1590/S1679-4974202000...
]. The worsening of the dietary pattern was also observed in a survey with Poles, which reported that 43.5% of the population began to eat more during the pandemic, in addition to having small snacks between the main meals, and the increase was more frequent in participants with overweight [4444 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
https://doi.org/10.3390/nu12061657...
]. Consuming healthy foods regularly prevents possible chronic non-communicable diseases; healthy food is a source of vitamins and contributes to the balance of body weight [4343 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
https://bvsms.saude.gov.br/bvs/publicaco...
]. Furthermore, during the pandemic, eating was impacted by different factors, such as the loss in the supply of fresh food, especially fruits and vegetables, closing of street markets and restaurants, increase in food costs, among others [4545 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):3421-3430. https://doi.org/10.1590/1413-81232020259.22152020
https://doi.org/10.1590/1413-81232020259...
].

Fear of Covid-19 and the presence of anxiety and depression were associated with women overweight. In pre-pandemic studies, overweight associated with mental health problems was also observed [4646 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.

47 Borges KM, Figueiredo FWS, Souto RP. Night eating syndrome and emotional states in university students. J Hum Growth Dev. 2017;27(3):132-139. https://doi.org/10.7322/jhgd.141277
https://doi.org/10.7322/jhgd.141277...
-4848 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
https://doi.org/10.1590/0047-20850000002...
]. Worry and fear can lead to the worsening of mental health conditions and these feelings can be potentiated considering the pandemic period [4949 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
https://doi.org/10.1016/j.janxdis.2020.1...
,5050 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
https://doi.org/10.1136/bmjopen-2020-045...
]. The fact that this outcome was found only in women can be explained by the fact that women tend to be more sensitive to psychological stress and that they also have a greater perception of stressful situations [5050 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
https://doi.org/10.1136/bmjopen-2020-045...
,5151 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;277:153-158. https://doi.org/10.1016/j.jad.2020.08.017
https://doi.org/10.1016/j.jad.2020.08.01...
]. The increase in psychological factors such as stress, anxiety, depression and even boredom are related to a higher calorie intake, through the consumption of the so-called “comfort foods” [4242 Bhutani S, Cooper J.A. COVID-19-Related Home confinement in adults: weight gain risks and opportunities. Obesity. 2020;28:1576-1577. https://doi.org/10.1002/oby.22904
https://doi.org/10.1002/oby.22904...
].

Some limitations of the study should be highlighted. The use of self-reported weight and height to obtain the BMI variable is one of the limitations. However, there are studies that point out that self-report is correlated with measured data, indicating a valid use of this strategy, which is also widely applied in health surveys [5252 Conde WL, Oliveira DR, Borges CA, Baraldi LG. Consistência entre medidas antropométricas em inquéritos nacionais. Rev Saude Publica. 2013;47:69-76.,5353 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.]. Other limitations are the participation of only public schools’ teachers and the non-restriction of teachers on sick leave, which can lead to selection bias. Finally, the fact that the research was carried out via the internet also makes this bias possible. However, web surveys have advantages, such as the possibility of carrying out collections at a distance, geographic coverage, low costs and speed in the publication of results [5454 Boni RBD. Websurveys en tiempos de la COVID-19. Cad Saude Publica. 2020;36(7):e00155820. https://doi.org/10.1590/0102-311X00155820
https://doi.org/10.1590/0102-311X0015582...
]. We also highlight other strong points, such as the partnership with SEE-MG, the robustness of the sample and the 13.3% representativeness of teachers working in rural areas.

CONCLUSION

More than half of the teachers were overweight during the Covid-19 pandemic, with a difference between the genders. When considering the factors ¨being over 30 years of age¨ and ¨having a worse dietary pattern¨ these were associated with both genders. Working in the metropolitan region, having children, not exercising, being much afraid of Covid-19 and having anxiety and/or depression remained associated only with women, and living with a spouse and working 40 or more hours per week were associated only with men. The presentation of these data can contribute to the monitoring of the prevalence of overweight as a strategy to understand risk patterns and their associated factors, and thus support specific and preventive interventions to promote the health of the teaching community.

ACKNOWLEDGMENTS

We are grateful to the teachers participating in our project, for the support of Unimontes and SEE-MG.

  • Article based on the thesis of NSS SILVA, entitled “Condições de saúde e trabalho dos professores da educação básica pública da rede estadual de ensino de Minas Gerais durante a pandemia da Covid-19: projeto ProfSMoc Etapa Minas Covid”. Universidade Estadual de Montes Claros; 2022.
  • Support: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Capes) (Protocol nº 88887.494255/2020-00)

How to cite this article

  • Silva NSS, Santos BN, Barbosa REC, Pinho L, Silva RRV, Haikal DS. Overweight and associated factors in Basic Education teachers during the Covid-19 pandemic: gender differentials. Rev Nutr. 2022;35:e210203. https://doi.org/10.1590/1678-9865202235e210203

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Publication Dates

  • Publication in this collection
    07 Oct 2022
  • Date of issue
    2022

History

  • Received
    29 Sept 2021
  • Reviewed
    29 June 2022
  • Accepted
    19 Aug 2022
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