What factors explain the increase in obesity in Brazil? An ecological analysis of contextual and behavioural components

Dumith, Samuel Carvalho; Saes-Silva, Elizabet; Vargas, Bianca Languer; Belarmino, Vanusa; Völz, Pâmela Moraes; Silva, C Nascimento da; Meller, Fernanda de Oliveira; Schäfer, Antônio Augusto; Silva, M Pereira da

doi:10.1016/j.puhe.2022.05.008

Cited by 4 publications

(3 citation statements)

References 26 publications

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“…Even though our study showed a higher prevalence of participants from the southeast region, which could be explained by the number of centers in this region, Brazil is a low-to middle-income country that repeats the pattern called "poverty-obesity-paradox", in which places with a low level of education and income have higher rates of obesity. [23][24][25] The difference seen in the comparison between BMI and schooling could also be explained by these data.…”

Section: Discussionmentioning

confidence: 89%

The effect of body mass index on maternal and perinatal outcomes in COVID‐19 infection during pregnancy and postpartum: Secondary analysis from the REBRACO cohort study

Sardinha,

Lajos,

Souza

et al. 2023

Intl J Gynecology & Obste

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ObjectivesTo compare maternal and perinatal outcomes among women with obesity, overweight, and normal body mass index, associated with COVID‐19 infection during pregnancy and postpartum.MethodProspective Cohort Study, within the REBRACO (Brazilian Network of COVID‐19 in Pregnancy) multicenter initiative. Confirmed positive cases of SARS‐CoV‐2 were included, and women categorized into three groups according to their pre‐pregnancy BMI: obesity (BMI ≥ 30), overweight (BMI <30 but >25), and normal BMI. Sociodemographic, clinical, and obstetric characteristics and different maternal and perinatal outcomes were compared, and a multiple regression analysis was performed to investigate factors independently associated with adverse maternal and perinatal outcomes.ResultsTwo hundred eighty‐nine women positive for SARS‐CoV‐2 infection were considered, and 202 had available data on maternal BMI for the current analysis. Overall, 72 (35.6%)obese, 68 (33.6%) overweight, and 60 (29.7%) normal BMI. Obesity was associated with increased adverse clinical outcomes including sepsis (P = 0.02), acute respiratory distress syndrome (P = 0.002), and the need for mechanical ventilation (P = 0.044). Considering perinatal outcomes, a multiple regression model confirmed obesity as an independent factor associated with adverse results (adjusted odds ratio 3.73, 95% CI 1.54–9.08).ConclusionObesity and overweight were associated with worse clinical outcomes, severe/critical COVID‐19, and adverse perinatal outcomes.

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Section: Discussionmentioning

confidence: 89%

The effect of body mass index on maternal and perinatal outcomes in COVID‐19 infection during pregnancy and postpartum: Secondary analysis from the REBRACO cohort study

Sardinha,

Lajos,

Souza

et al. 2023

Intl J Gynecology & Obste

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“…Researchers have indicated that environmental and socioeconomic factors play an essential role in the susceptibility and development of OW/OB [29,30]. Studies have found that socioeconomic development, represented by an increase in per capita gross domestic product and urbanization rates and a decrease in the Engel coefficient, is accompanied by improved stunting and wasting but a rapid increase in OW/OB [31][32][33][34]. As one of the leading cities in China, the economic growth of Ningbo has led to an increase in the residents' household income, supporting the residents to spend more on the daily diet, thus expanding the diversity of the diet and resulting in increased consumption of high-energy foods [35].…”

Section: Discussionmentioning

confidence: 99%

Association between Dietary Behavior and Overweight and Obesity among Chinese Students: A Cross-Sectional Study

Hong,

Gong,

Gao

et al. 2023

Children

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Objectives: To investigate the prevalence of overweight and obesity among Ningbo students and explore the association between students’ dietary behavior and overweight and obesity. Materials and Methods: A total of 7299 students were recruited, including 3755 males and 3544 females. A questionnaire on student health status and influencing factors was used to investigate dietary behavior. Logistic regression analysis investigated the relationship between dietary behavior and overweight and obesity. Age, gender, area, grade, sleep duration, and physical activity were adjusted in the multivariate regression models. Results: This study revealed that the prevalence of overweight and obesity in Ningbo students was 16.14% and 9.88%, respectively. The logistic regression analysis results showed that regular consumption of sugary beverages was associated with a higher risk of being overweight (OR = 1.256, 95% CI: 1.023–1.542, p = 0.029). The research indicated that skipping breakfast was considered a risk factor for obesity (OR = 2.102, 95% CI: 1.087–4.065, p = 0.027). After adjusting for age, gender, area, and grade and continuing to adjust for sleep duration and physical activity, the results showed that consuming fried food at least once a day increased the risk of obesity (OR = 1.494, 95% CI: 1.050–2.125, p = 0.026; OR = 1.516, 95% CI: 1.065–2.158, p = 0.021, respectively). This study found that the frequency of breakfast and the consumption of fried food, fresh vegetables, and fruits were not significantly associated with being overweight (p > 0.05). Conclusions: This study indicated that dietary behavior was related to overweight and obesity among Ningbo students. Further studies and more government support are required to confirm this study’s findings and address the current overweight/obesity problems.

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“…Infelizmente, isso não parou por aí, pesquisas mostram que houve um aumento significativo da obesidade no país, passando de 11,8% em 2006 para 18,9% em 10 anos. Esses números se tornam mais assustadores: de acordo com a última Pesquisa Nacional de Saúde (2020), mais da metade da população adulta brasileira (60,3%) encontra-se com excesso de peso, isso em números absolutos equivale a 96 milhões de pessoas (DUMITH et al, 2022).…”

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Silva

2023

Conversando Sobre Meio Ambiente E Saúde:

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ResumoO ganho de peso é um fator que preocupa a população como um todo. Cada vez mais saem pesquisas sobre a importância de manter um peso saudável e como isso vai ser importante para uma vida longa e sem muitos problemas. Entretanto, pouco se fala de como atingir um emagrecimento saudável é difícil e trabalhoso. Esse capítulo tem como objetivo elucidar alguns dos fatores que não te ajudam na luta contra a balança. Para isso, será apresentado dados sociais da conjuntura nacional perante a obesidade, a relação entre os microorganismos que vivem em você e o ganho de peso, o quanto o seu sono pode influenciar na obesidade e como o seu corpo trabalha quando você quer emagrecer. Os trabalhos aqui reunidos, servem como um norte para quem não entende por que perder os tão sonhados quilinhos vem sendo tão difícil.

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What factors explain the increase in obesity in Brazil? An ecological analysis of contextual and behavioural components

Cited by 4 publications

References 26 publications

The effect of body mass index on maternal and perinatal outcomes in COVID‐19 infection during pregnancy and postpartum: Secondary analysis from the REBRACO cohort study

The effect of body mass index on maternal and perinatal outcomes in COVID‐19 infection during pregnancy and postpartum: Secondary analysis from the REBRACO cohort study

Association between Dietary Behavior and Overweight and Obesity among Chinese Students: A Cross-Sectional Study

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