ABSTRACT
This study aimed to identify changes in physical activity, sitting time, and binge eating disorder in Brazilian women during the COVID-19 pandemic. A cross-sectional and retrospective study was conducted online on 150 Brazilian women adults. The prevalence of binge eating and physically inactive women increased during the COVID-19 pandemic (p = < 0.001 and p = 0.01, respectively). Binge eating was associated with insufficient physical activity before (p = 0.01) and during the pandemic (p = 0.05). The physical activity time and sitting time showed no differences after adjustment for possible confounders (p > 0.05). In conclusion, the pandemic affected Brazilian women’s lifestyle and eating behavior.
Keywords:
Binge-eating disorder; Coronavirus; Women; Sedentary behavior
RESUMO
Este estudo teve como objetivo identificar mudanças na atividade física, tempo sentado e transtorno da compulsão alimentar periódica em mulheres brasileiras durante a pandemia de COVID-19. Foi realizado um estudo transversal e retrospectivo por meio de um formulário on-line em 150 mulheres adultas brasileiras. A prevalência de compulsão alimentar e de mulheres fisicamente inativas aumentou durante a pandemia de COVID-19 (p = < 0,001 e p = 0,01, respectivamente). A compulsão alimentar foi associada à atividade física insuficiente antes (p = 0,01) e durante a pandemia (p = 0,05). O tempo de atividade física e o tempo sentado não apresentaram diferenças após ajuste para possíveis fatores de confusão (p > 0,05). Em conclusão, a pandemia afetou o estilo de vida e o comportamento alimentar das mulheres brasileiras.
Palavras-chave:
Transtorno da compulsão alimentar; Coronavirus; Mulheres; Comportamento sedentário
RESUMEN
El objetivo del estudio fue identificar cambios los cambios en la actividad física, el tiempo sentado y el trastorno por atracón en mujeres brasileñas durante la pandemia de COVID-19. Es un estudio transversal y retrospectivo que evaluó, a través de un formulario en línea en 150 mujeres brasileñas adultas. La prevalencia de atracones y de mujeres físicamente inactivas aumentó durante la pandemia de COVID-19 (p = < 0,001 y p = 0,01, respectivamente). Los atracones se asociaron con actividad física insuficiente antes (p = 0,01) y durante la pandemia (p = 0,05). El tiempo de actividad física y el tiempo sentado no difirieron después del ajuste por posibles factores de confusión (p > 0,05). En conclusión, la pandemia afectó el estilo de vida y el comportamiento alimentario de las mujeres brasileñas.
Palabras-clave:
Trastorno por atracón; Coronavirus; Mujeres; Conducta sedentaria
INTRODUCTION
On March 11, 2020, the World Health Organization officially announced the novel coronavirus (COVID-19) as a pandemic (OPAS, 2023OPAS: Organização Pan-Americana de Saúde. Histórico da pandemia de COVID-19 [Internet]. 2023 [cited 2023 Jan 13]. Available from: https://www.paho.org/pt/covid19/historico-da-pandemia-covid-19
https://www.paho.org/pt/covid19/historic...
), and since then, countless preventive and restrictive measures have been implemented to attempt to minimize and prevent the spread of the virus in Brazil, including social distancing and lockdowns. Nevertheless, despite these measures being necessary to reduce the spread of infection, the restrictions have negatively impacted the physical and mental health and eating behavior of the general population (Ammar et al., 2020Ammar A, Brach M, Trabelsi K, Chtourou H, Boukhris O, Masmoudi L, et al. Effects of COVID-19 home confinement on eating behaviour and physical activity: results of the ECLB-COVID19 International Online Survey. Nutrients. 2020;12(6):1583. http://dx.doi.org/10.3390/nu12061583. PMid:32481594.
http://dx.doi.org/10.3390/nu12061583...
; Kriaucioniene et al., 2020Kriaucioniene V, Bagdonaviciene L, Rodríguez-Pérez C, Petkeviciene J. Associations between changes in health behaviours and body weight during the COVID-19 quarantine in Lithuania: the Lithuanian COVIDiet study. Nutrients. 2020;12(10):3119. http://dx.doi.org/10.3390/nu12103119. PMid:33065991.
http://dx.doi.org/10.3390/nu12103119...
; Flanagan et al., 2021Flanagan EW, Beyl RA, Fearnbach SN, Altazan AD, Martin CK, Redman LM. The Impact of COVID-19 stay-at-home orders on health behaviors in adults. Obesity (Silver Spring). 2021;29(2):438-45. http://dx.doi.org/10.1002/oby.23066. PMid:33043562.
http://dx.doi.org/10.1002/oby.23066...
).
Recent studies have reported higher psychological distress, increased risk of anxiety, stress, depression, and feelings of overload in women during the COVID-19 pandemic (Pieh et al., 2020Pieh C, Budimir S, Probst T. The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria. J Psychosom Res. 2020;136:110186. http://dx.doi.org/10.1016/j.jpsychores.2020.110186. PMid:32682159.
http://dx.doi.org/10.1016/j.jpsychores.2...
; Qiu et al., 2020Qiu J, Shen B, Zhao M, Wang Z, Xie B, Xu Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations. Gen Psychiatr. 2020;33(2):e100213. http://dx.doi.org/10.1136/gpsych-2020-100213. PMid:32215365.
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; Wang et al., 2020Wang C, Pan R, Wan X, Tan Y, Xu L, Ho CS, et al. Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China. Int J Environ Res Public Health. 2020;17(5):1729. http://dx.doi.org/10.3390/ijerph17051729. PMid:32155789.
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). These emotional and psychological changes may increase the risk of developing disordered eating behaviors (Naja and Hamadeh, 2020Naja F, Hamadeh R. Nutrition amid the COVID-19 pandemic: a multi-level framework for action. Eur J Clin Nutr. 2020;74(8):1117-21. http://dx.doi.org/10.1038/s41430-020-0634-3. PMid:32313188.
http://dx.doi.org/10.1038/s41430-020-063...
), including binge eating disorder (BED), which primarily affects women and may be exacerbated during this period as binge eating may be a coping mechanism to regulate and reduce negative emotions (Albergaria et al., 2017Albergaria R, Pimenta F, Maroco J, Leal I, Albergaria T, Bicudo MJ. Binge eating in obesity: mainland Portugal and São Miguel, Azores. Psicol Saude Doencas. 2017;18(3):699-711. http://dx.doi.org/10.15309/17psd180306.
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; Galmiche et al., 2019Galmiche M, Déchelotte P, Lambert G, Tavolacci MP. Prevalence of eating disorders over the 2000-2018 period: a systematic literature review. Am J Clin Nutr. 2019;109(5):1402-13. http://dx.doi.org/10.1093/ajcn/nqy342. PMid:31051507.
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; Keski-Rahkonen, 2021Keski-Rahkonen A. Epidemiology of binge eating disorder: prevalence, course, comorbidity, and risk factors. Curr Opin Psychiatry. 2021;34(6):525-31. http://dx.doi.org/10.1097/YCO.0000000000000750. PMid:34494972.
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). Furthermore, excessive food intake is associated with positive energy balance and, consequently, chronic non-communicable diseases (NCDs), which are associated with worsening COVID-19 outcomes (Cheng et al., 2021Cheng S, Zhao Y, Wang F, Chen Y, Kaminga AC, Xu H. Comorbidities’ potential impacts on severe and non-severe patients with COVID-19: A systematic review and meta-analysis. Medicine (Baltimore). 2021;100(12):e24971. http://dx.doi.org/10.1097/MD.0000000000024971. PMid:33761654.
http://dx.doi.org/10.1097/MD.00000000000...
).
Women are less likely to be physically active and report more significant barriers to physical activity before and during the pandemic (Troiano et al., 2008Troiano RP, Berrigan D, Dodd KW, Mâsse LC, Tilert T, McDowell M. Physical activity in the United States measured by accelerometer. Med Sci Sports Exerc. 2008;40(1):181-8. http://dx.doi.org/10.1249/mss.0b013e31815a51b3. PMid:18091006.
http://dx.doi.org/10.1249/mss.0b013e3181...
; Hickey and Mason, 2017Hickey ME, Mason SE. Age and gender differences in participation rates, motivators for, and barriers to exercise. Mod Psychol Stud [Internet]. 2017 [cited 2023 Jan 13];22(2):10-9. Available from: https://scholar.utc.edu/mps/vol22/iss2/3
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; Guthold et al., 2018Guthold R, Stevens GA, Riley LM, Bull FC. 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. 2018;6(10):e1077-86. http://dx.doi.org/10.1016/S2214-109X(18)30357-7. PMid:30193830.
http://dx.doi.org/10.1016/S2214-109X(18)...
; Nienhuis and Lesser, 2020Nienhuis CP, Lesser IA. The impact of COVID-19 on women’s physical activity behavior and mental well-being. Int J Environ Res Public Health. 2020;17(23):9036. http://dx.doi.org/10.3390/ijerph17239036. PMid:33291530.
http://dx.doi.org/10.3390/ijerph17239036...
). This is quite concerning, given that the closure of fitness centers, gyms, and sports clubs and the restrictive protocols adopted for outdoor activities, together with other social distancing measures, may make it even more challenging for individuals to maintain healthy levels of physical activity, sitting time, and a healthy and active lifestyle during this worrisome period. This is a worrisome scenario, given that physical activity is highly effective in preventing NCDs, decreasing mortality risk, improving mental health (Mikkelsen et al., 2017Mikkelsen K, Stojanovska L, Polenakovic M, Bosevski M, Apostolopoulos V. Exercise and mental health. Maturitas. 2017;106:48-56. http://dx.doi.org/10.1016/j.maturitas.2017.09.003. PMid:29150166.
http://dx.doi.org/10.1016/j.maturitas.20...
), and boosting the immune response to infections such as those caused by COVID-19 (Mohamed and Alawna, 2020Mohamed AA, Alawna M. Role of increasing the aerobic capacity on improving the function of immune and respiratory systems in patients with coronavirus (COVID-19): A review. Diabetes Metab Syndr. 2020;14(4):489-96. http://dx.doi.org/10.1016/j.dsx.2020.04.038. PMid:32388326.
http://dx.doi.org/10.1016/j.dsx.2020.04....
). In addition, excessive sitting time negatively affects cardiometabolic health, increasing the risk of NCDs, including obesity, diabetes, and cardiovascular disease (Biswas et al., 2015Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, et al. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med. 2015;162(2):123-32. http://dx.doi.org/10.7326/M14-1651. PMid:25599350.
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; Bailey et al., 2019Bailey DP, Hewson DJ, Champion RB, Sayegh SM. Sitting time and risk of cardiovascular disease and diabetes: a systematic review and meta-analysis. Am J Prev Med. 2019;57(3):408-16. http://dx.doi.org/10.1016/j.amepre.2019.04.015. PMid:31377090.
http://dx.doi.org/10.1016/j.amepre.2019....
). However, recent evidence has shown reduced physical activity and increased sedentary behavior in the general population (Ammar et al., 2020Ammar A, Brach M, Trabelsi K, Chtourou H, Boukhris O, Masmoudi L, et al. Effects of COVID-19 home confinement on eating behaviour and physical activity: results of the ECLB-COVID19 International Online Survey. Nutrients. 2020;12(6):1583. http://dx.doi.org/10.3390/nu12061583. PMid:32481594.
http://dx.doi.org/10.3390/nu12061583...
; Kriaucioniene et al., 2020Kriaucioniene V, Bagdonaviciene L, Rodríguez-Pérez C, Petkeviciene J. Associations between changes in health behaviours and body weight during the COVID-19 quarantine in Lithuania: the Lithuanian COVIDiet study. Nutrients. 2020;12(10):3119. http://dx.doi.org/10.3390/nu12103119. PMid:33065991.
http://dx.doi.org/10.3390/nu12103119...
; Flanagan et al., 2021Flanagan EW, Beyl RA, Fearnbach SN, Altazan AD, Martin CK, Redman LM. The Impact of COVID-19 stay-at-home orders on health behaviors in adults. Obesity (Silver Spring). 2021;29(2):438-45. http://dx.doi.org/10.1002/oby.23066. PMid:33043562.
http://dx.doi.org/10.1002/oby.23066...
).
Given the above, it is pivotal to evaluate the effects of the pandemic as women may present negative changes in weight-related behaviors and maintain a healthy lifestyle during this period. Additionally, few studies have evaluated the effects of the COVID-19 pandemic on the lifestyle of this population, especially Brazilian women. Hence, this study sought to identify changes in physical activity, sitting time, and binge eating disorder in Brazilian women during the COVID-19 pandemic.
METHODOLOGY
This cross-sectional retrospective study was conducted between October and December 2020 with women aged 18 to 60. Data were collected using an anonymous online form with questions assessing the individuals’ physical activity, sitting time, and binge eating behavior before and during the COVID-19 pandemic. The inclusion criteria were determined as women between 18 and 60 years old, agreeing to the digital informed consent form, and answering every question. There was no sample loss, every participant answered all questions and completed the study. The protocol and informed consent form were approved by the Ethics Committee of the Federal University of Uberlândia (no. 38439920.9.0000.5152).
Questionnaire
An anonymous online questionnaire prepared on the Google Forms® platform and divulged on social networks (WhatsApp®, Instagram®, and e-mail) and media (e.g., radio and television programs) was used to collect data. The participants’ information, including their sex, age, marital status, level of education, and weight and height, were obtained through self-reported measurements; their body mass index (body mass in kg/height in m2) was also calculated (WHO, 2000WHO: World Health Organization [Internet]. Obesity.: preventing and managing the global epidemic: report of a WHO consultation. Geneva: WHO; 2000 [cited 2023 Jan 13] Available from: https://apps.who.int/iris/handle/10665/42330.
https://apps.who.int/iris/handle/10665/4...
). The participants were also objectively asked whether there was a gain in body mass during the pandemic and, if so, how many kilograms.
The questions regarding their physical activity, sitting time, and binge eating behavior were presented differently, and they were required to provide two answers: one referring to the pre-pandemic period (retrospective information) and the other in terms of the conditions during the social-distancing period (23 October 2020 until 03 December).
Physical activity and sitting time
The respondents’ physical activity and sitting time were assessed using the short version of the International Physical Activity Questionnaire (IPAQ). This survey includes the time spent on walking, moderate physical activity (PA), and vigorous PA and allows one to estimate the total time spent on physical activity per week and estimated energy expenditure by multiplying the value of energy expenditure (in metabolic equivalents; METs) according to the activity effectively carried out (walking = 3.3 METs, moderate PA = 4.0 METs, and vigorous PA = 8.0 METs) according to the weekly frequency and duration. The questionnaire also allows researchers to evaluate the daily sitting time (IPAQ Research Committee, 2005IPAQ Research Committee. Guidelines for data processing and analysis of the International Physical Activity Questionnaire (IPAQ) - short and long forms [Internet]. 2005 [cited 2023 Jan 13]. Available from: https://sites.google.com/view/ipaq/score?authuser=0
https://sites.google.com/view/ipaq/score...
).
Binge eating disorder
The Binge Eating Scale (BES) was employed to assess the presence of compulsive eating behavior. It is a 16-question self-administered and validated survey with 62 statements, in which the statement that best represents the respondent’s answer must be selected for each question. Each statement is scored on a 0-3 scale (where 0 is the absence and 3 is the maximum severity). The final score results from the sum of the points for each question, and individuals who score 17 or below are deemed to have no compulsion, scores from 18 to 26 have a moderate compulsion, and scores equal to or over 27 have a severe compulsion (Freitas et al., 2001Freitas S, Lopes CS, Coutinho W, Appolinario JC. Tradução e adaptação para o português da Escala de Compulsão Alimentar Periódica. Br J Psychiatry. 2001;23(4):215-20. http://dx.doi.org/10.1590/S1516-44462001000400008.
http://dx.doi.org/10.1590/S1516-44462001...
).
Statistical analysis
Statistical analyses were performed in the SPSS software (version 23.0). Data distribution normality was confirmed using the Kolmogorov-Smirnov test, and the values were calculated and reported as median and percentiles, mean ± standard deviation, frequency, and percentage. We calculated the delta and delta % change. A general linear model for repeated measures was used for continuous variables in order for us to assess any significant differences in responses before and during the pandemic. Log10 was used for standardizing data that did not follow the normality curve, and variable sphericity was corrected by the Greenhouse-Geisser procedure. The multivariate general linear model and binary logistic regression were used to test the relationship between the variables. In the logistic regression model, the physical activity level (active/inactive) was considered dependent, and sitting time and binge eating were independent variables. The calculation of posterior power was performed using the statistical program G*Power version 3.1.9.7. The test was performed with a beta power of 0.80 and alpha of 0.05, considering the F test (Means: Difference between two dependent means (matched pairs)) for the calculation. The effect size was obtained by averaging the scores before and after the pandemic for the variables of sitting time, physical activity (minutes/week), and binge eating. The Kappa Chi-square test was used to assess differences in categorical data. The significance of p < 0.05 was used for all analyses.
RESULTS
A total of 150 women participated in the study. The participants had a median age of 28 years (22 - 41 years), most were single (60.7%), had complete higher education (58.7%), had a high prevalence of body mass gain during the pandemic (71.6%), and a weight gain of 4 kg. The general characteristics of the participants are listed in Table 1.
The prevalence of physically active women decreased significantly during the COVID-19 pandemic (p = 0.01) (Table 2). We also observed a reduction in the physical activity in all variables assessed (walking, moderate-intensity PA, vigorous-intensity PA, and total weekly physical activity time) (p < 0.05). In addition, there was a 46% increase in sitting time (p < 0.001). However, after adjusting for age, marital status, level of education, and BMI, these variables were no longer significant (p > 0.05) (Table 3).
Prevalence of the physical activity level and binge eating in women before and during the COVID-19 pandemic.
As shown in Table 2, there was a 96% percent increase in the prevalence of binge eating and a high rate of severe binge eating during the pandemic (p < 0.05).
Table 4 shows that physical activity, sitting time, and binge eating were related before and during the COVID-19 pandemic (p < 0.001). Furthermore, the logistic regression analysis showed that binge eating was associated with low physical activity level before (p = 0.01) and during the pandemic (p = 0.05) (Table 5).
Relationship between physical activity, sitting time, and binge eating before and during the pandemic.
Binary logistic regression model used to predict the relationship between physical activity level, sitting time, and binge eating pre and during the pandemic.
DISCUSSION
This study evaluated the effects of the COVID-19 pandemic on Brazilian women’s lifestyles and eating behavior. The main findings are as follows: 1) The prevalence of binge eating and of physically inactive women increased during the COVID-19 pandemic; 2) After adjusting for age, marital status, level of education, and BMI, there were no changes in the physical activity time, metabolic equivalent, and sitting time during the COVID-19 pandemic; and 3) The binge eating increased was associated with insufficient physical activity levels before and during the pandemic.
Our findings revealed an increase in the prevalence of physically inactive women during the COVID-19 pandemic. This result is similar to the findings of García-Tascón et al. (2020)García-Tascón M, Sahelices-Pinto C, Mendaña-Cuervo C, Magaz-González AM. The impact of the COVID-19 confinement on the habits of PA practice according to gender (male/female): Spanish case. Int J Environ Res Public Health. 2020;17(19):6961. http://dx.doi.org/10.3390/ijerph17196961. PMid:32977571.
http://dx.doi.org/10.3390/ijerph17196961...
, who also reported reduced physical activity in women during the pandemic. In addition, our data corroborate with other studies conducted in Brazil that also observed a remarkable reduction in the practice of physical activity in the population (Cardoso et al., 2023Cardoso JPP, Afonso MVR, Mendes BF, Vieira ER, Pereira WF, Dias-Peixoto MF, et al. Fear of COVID-19 influences physical activity practice: a study in a Brazilian sample. Psychol Health Med. 2023;28(1):232-40. http://dx.doi.org/10.1080/13548506.2022.2072916. PMid:35505523.
http://dx.doi.org/10.1080/13548506.2022....
; Schuch et al., 2022Schuch FB, Bulzing RA, Meyer J, López-Sánchez GF, Grabovac I, Willeit P, et al. Moderate to vigorous physical activity and sedentary behavior changes in self-isolating adults during the COVID-19 pandemic in Brazil: a cross-sectional survey exploring correlates. Sport Sci Health. 2022;18(1):155-63. http://dx.doi.org/10.1007/s11332-021-00788-x. PMid:34108999.
http://dx.doi.org/10.1007/s11332-021-007...
; Silva et al., 2022Silva DTC, Prado WL, Cucato GG, Correia MA, Ritti-Dias RM, Lofrano-Prado MC, et al. Impact of COVID-19 pandemic on physical activity level and screen time is associated with decreased mental health in Brazillian adults: a cross-sectional epidemiological study. Psychiatry Res. 2022;314:114657. http://dx.doi.org/10.1016/j.psychres.2022.114657. PMid:35696934.
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). Furthermore, a study by Nienhuis and Lesser (2020)Nienhuis CP, Lesser IA. The impact of COVID-19 on women’s physical activity behavior and mental well-being. Int J Environ Res Public Health. 2020;17(23):9036. http://dx.doi.org/10.3390/ijerph17239036. PMid:33291530.
http://dx.doi.org/10.3390/ijerph17239036...
reported that COVID-19 restrictions resulted in barriers to physical activity for women and that stress and depression caused by quarantine lead to unhealthy lifestyles, including physical activity reduced (Mattioli et al., 2020Mattioli AV, Sciomer S, Maffei S, Gallina S. Lifestyle and stress management in women during COVID-19 pandemic: impact on cardiovascular risk burden. Am J Lifestyle Med. 2020;15(3):356-9. http://dx.doi.org/10.1177/1559827620981014. PMid:34025328.
http://dx.doi.org/10.1177/15598276209810...
).
Age, marital status, educational level, and BMI were confounding factors in our results. After adjusting for these variables, changes related to physical activity, including physical activity time and metabolic equivalent, sitting time, and binge eating score, became insignificant. Thus, our findings reinforce the influence of sociodemographic factors and BMI on lifestyle and eating behavior, as also reported elsewhere (Souza da Silva et al., 2016Souza da Silva T, Bisi Molina MD, Antunes Nunes MA, Perim de Faria C, Valadão Cade N. Binge eating, sociodemographic and lifestyle factors in participants of the ELSA-Brazil. J Eat Disord. 2016;4(1):25. http://dx.doi.org/10.1186/s40337-016-0095-1. PMid:27795829.
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; Martins et al., 2021Martins J, Marques A, Teixeira PJ, Mota J, Lopes C, Nicola PJ. Socio-demographic factors associated with physical activity and sitting time patterns in adults: an analysis based on the Portuguese Food, Nutrition and Physical Activity Survey. Eur J Sport Sci. 2021;21(2):250-60. http://dx.doi.org/10.1080/17461391.2020.1736643. PMid:32105186.
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; Pitanga et al., 2017Pitanga F, Almeida M, Queiroz CO, Aquino E, Matos S. Physical activity in Brazil: lessons from ELSA-Brasi: narrative review. Sao Paulo Med J. 2017;135(4):391-5. http://dx.doi.org/10.1590/1516-3180.2017.0023190317.
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).
The results showed an increased prevalence of binge eating and frequency of severe binge eating during the pandemic, and our findings corroborate research that demonstrated higher levels of eating disorders after the onset of the COVID-19 pandemic (Robertson et al., 2021Robertson M, Duffy F, Newman E, Prieto Bravo C, Ates HH, Sharpe H. Exploring changes in body image, eating and exercise during the COVID-19 lockdown: A UK survey. Appetite. 2021;159:105062. http://dx.doi.org/10.1016/j.appet.2020.105062. PMid:33278549.
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; Zhou and Wade, 2021Zhou Y, Wade TD. The impact of COVID-19 on body-dissatisfied female university students. Int J Eat Disord. 2021;54(7):1283-8. http://dx.doi.org/10.1002/eat.23521. PMid:33851442.
http://dx.doi.org/10.1002/eat.23521...
). These results may be related to research that reported a worsening in the mental health of women during social isolation (Cardoso et al., 2023Cardoso JPP, Afonso MVR, Mendes BF, Vieira ER, Pereira WF, Dias-Peixoto MF, et al. Fear of COVID-19 influences physical activity practice: a study in a Brazilian sample. Psychol Health Med. 2023;28(1):232-40. http://dx.doi.org/10.1080/13548506.2022.2072916. PMid:35505523.
http://dx.doi.org/10.1080/13548506.2022....
; Pieh et al., 2020Pieh C, Budimir S, Probst T. The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria. J Psychosom Res. 2020;136:110186. http://dx.doi.org/10.1016/j.jpsychores.2020.110186. PMid:32682159.
http://dx.doi.org/10.1016/j.jpsychores.2...
; Hung et al., 2021Hung MSY, Lam SKK, Chan LCK, Liu SPS, Chow MCM. The Psychological and Quality of Life Impacts on Women in Hong Kong during the COVID-19 Pandemic. Int J Environ Res Public Health. 2021;18(13):6734. http://dx.doi.org/10.3390/ijerph18136734. PMid:34201456.
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), as it is known that emotions negative play an important role in initiating and maintaining binge eating (Dingemans et al., 2017Dingemans A, Danner U, Parks M. Emotion regulation in binge eating disorder: a review. Nutrients. 2017;9(11):1274. http://dx.doi.org/10.3390/nu9111274. PMid:29165348.
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; Zeeck et al., 2011Zeeck A, Stelzer N, Linster HW, Joos A, Hartmann A. Emotion and eating in binge eating disorder and obesity. Eur Eat Disord Rev. 2011;19(5):426-37. PMid:24081718.). A study by Christofaro et al. (2022)Christofaro DGD, Tebar WR, Silva GCR, Lofrano-Prado MC, Botero JP, Cucato GG, et al. Anxiety is more related to inadequate eating habits in inactive than in physically active adults during COVID-19 quarantine. Clin Nutr ESPEN. 2022;51:301-6. http://dx.doi.org/10.1016/j.clnesp.2022.08.010. PMid:36184220.
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found that anxiety was associated with less healthy eating habits, such as higher consumption of sweets and fast foods, among physically inactive Brazilian adults during the COVID-19 pandemic.
Physical activity, sitting time, and binge eating were shown to be interrelated before and during the pandemic. Moreover, we found that binge eating was associated with low physical activity levels before and during the pandemic, which is in line with other studies that reported that binge eating disorder was associated with insufficient physical activity levels (Souza da Silva et al., 2016Souza da Silva T, Bisi Molina MD, Antunes Nunes MA, Perim de Faria C, Valadão Cade N. Binge eating, sociodemographic and lifestyle factors in participants of the ELSA-Brazil. J Eat Disord. 2016;4(1):25. http://dx.doi.org/10.1186/s40337-016-0095-1. PMid:27795829.
http://dx.doi.org/10.1186/s40337-016-009...
; Udo and Grilo, 2020Udo T, Grilo CM. Physical activity levels and correlates in nationally representative sample of U.S. adults with healthy weight, obesity, and binge-eating disorder. Int J Eat Disord. 2020;53(1):85-95. http://dx.doi.org/10.1002/eat.23199. PMid:31769054.
http://dx.doi.org/10.1002/eat.23199...
). Furthermore, Staiano et al. (2014)Staiano AE, Harrington DM, Barreira TV, Katzmarzyk PT. Sitting time and cardiometabolic risk in US adults: associations by sex, race, socioeconomic status and activity level. Br J Sports Med. 2014;48(3):213-9. http://dx.doi.org/10.1136/bjsports-2012-091896. PMid:23981954.
http://dx.doi.org/10.1136/bjsports-2012-...
found an association between sitting time and physically inactive individuals. This is important, as it shows that lifestyle changes can impact eating behavior and vice versa. Hence, as many people changed their lifestyle and/or eating behavior during the pandemic, such changes may lead to other health risk behaviors.
Furthermore, the reduced physical activity of women and the increased prevalence of binge eating may be related to the high prevalence of body mass gain and weight gain. This is because physical activity is a protective factor against body mass gain and excessive food intake is associated with a positive energy balance and emotional eating, which, in turn, is related to the intake of comfort food, rich in sugars and fats that may result in body mass gain (Vuori, 2001Vuori IM. Health benefits of physical activity with special reference to interaction with diet. Public Health Nutr. 2001;4(2B):517-28. http://dx.doi.org/10.1079/PHN2001137. PMid:11683546.
http://dx.doi.org/10.1079/PHN2001137...
; Wagner et al., 2014Wagner HS, Ahlstrom B, Redden JP, Vickers Z, Mann T. The myth of comfort food. Health Psychology: Official Journal of the Division of Health Psychology, American Psychological Association. 2014;33(12):1552-7. http://dx.doi.org/10.1037/hea0000068. PMid:25133833.
http://dx.doi.org/10.1037/hea0000068...
; Matos and Ferreira, 2021Matos SMR, Ferreira JCS. Stress and eating behavior. Res Soc Dev. 2021;10(7):e26210716726. http://dx.doi.org/10.33448/rsd-v10i7.16726.
http://dx.doi.org/10.33448/rsd-v10i7.167...
). Small changes in body weight over relatively short periods can become permanent and lead to substantial weight gain over time, potentially resulting in long-lasting effects on health and worsening the prevalence of obesity and the associated diseases, such as cardiovascular diseases, the leading cause of mortality in adult women (Bhutani and Cooper, 2020Bhutani S, Cooper JA. COVID-19-related home confinement in adults: weight gain risks and opportunities. Obesity (Silver Spring). 2020;28(9):1576-7. http://dx.doi.org/10.1002/oby.22904. PMid:32428295.
http://dx.doi.org/10.1002/oby.22904...
; Mehran et al., 2019Mehran R, Vogel B, Ortega R, Cooney R, Horton R. The Lancet Commission on women and cardiovascular disease: time for a shift in women’s health. Lancet. 2019;393(10175):967-8. http://dx.doi.org/10.1016/S0140-6736(19)30315-0. PMid:30765122.
http://dx.doi.org/10.1016/S0140-6736(19)...
).
Despite our promising findings, this study has several limitations, including the use of self-reported data, which may have been affected by bias and low reliability. Additionally, the questions related to the pre-pandemic period did not specify a moment, thereby being susceptible to the choice of the participants’ memory; therefore, it is impossible to infer how long this information refers to. Furthermore, information related to the participants’ work activities was not collected. In addition, longitudinal research must be conducted to shed more light on this theme and provide greater insight into how prolonged pandemic periods affect the lifestyle and eating behavior of this population.
Regardless of the limitations, the highly relevant data presented herein show that seven to ten months after the onset of the COVID-19 pandemic in Brazil, the pandemic continues to cause harmful effects on the lifestyle and eating behavior of women through decreased physical activity level and increased prevalence of binge eating, along with the increased prevalence of body mass gain and weight gain. Hence, these data show that formulating and implementing national public health policies focused on improving women’s health are necessary to minimize the short- and long-term negative impacts of the pandemic.
CONCLUSION
The COVID-19 pandemic has caused negative changes in physical activity and binge eating among Brazilian women, who also showed a high prevalence of body mass gain. We emphasize that the combined consequences of the COVID-19 pandemic may have lasting effects on women’s health and increased prevalence and worsening of chronic non-communicable diseases.
-
FUNDING
This work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) - Finance Code 001.
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Publication Dates
-
Publication in this collection
21 Aug 2023 -
Date of issue
2023
History
-
Received
13 Jan 2023 -
Accepted
01 June 2023