Vulnerabilidad socioeconómica y obesidad en escolares chilenos de primero básico: comparación entre los años 2009 y 2013

Herrera, Juan Carlos; Lira, Mariana Santana de; Kain, Juliana

doi:10.4067/s0370-41062017000600736

Cited by 18 publications

(15 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition, Herrera et al. 19 conducted surveys in 2009 and 2013 and found that people with poor living conditions in rural areas had the lowest risk of obesity. In urban and rural areas, the prevalence of obesity in 2009 among the population with the worst living conditions was OR = 0.85 (95% CI = 0.82–0.88) and OR = 0.70 (95% CI = 0.64–0.75), respectively.…”

Section: Discussionmentioning

confidence: 99%

Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity

Kong

Zhao

et al. 2020

J Int Med Res

View full text Add to dashboard Cite

Objective The prevalence of overweight/obesity in China has increased dramatically in recent years; being overweight/obese can increase the risk of type 2 diabetes and cardiovascular disease. The purpose of this study was to determine the population in China at high risk of being overweight or obese, to explore the relationships between various relevant factors and overweight/obesity, and to identify preventive efforts for high-risk populations. Methods We administered a questionnaire survey among a group of 536 social workers in Shijiazhuang City in 2017. We used the Pearson chi-square test, Spearman’s rho test, multivariate linear regression, univariate and multivariate logistic regression, and receiver operating characteristic curve analysis to investigate factors that influence overweight/obesity. Results The prevalence of overweight/obesity was 13.7% among the study participants. Urban residence, eating speed, number of daily meals, overeating, and a high-fat diet were associated with overweight/obesity. In multivariate linear regression analysis, overweight/obesity was correlated with sex, urban residence, eating speed, number of daily meals, and a high-fat diet. Conclusion Among all influencing factors, dietary factors, place of residence, and sex were most closely related to being overweight/obese. Furthermore, living in an urban area and male sex were independent risk factors for being overweight/obese.

show abstract

Section: Discussionmentioning

confidence: 99%

Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity

Kong

Zhao

et al. 2020

J Int Med Res

View full text Add to dashboard Cite

show abstract

“…Yu et al [24] reported a high prevalence of overweight and obesity among middle-aged and elderly people in a downtown area of Beijing. In addition, Herrera et al [25] found that the most vulnerable students in rural areas had the lowest risk of obesity in 2009 and 2013. In urban and rural areas, respectively, the ORs for developing obesity in 2009 were 0.85 (95% CI, 0.82–0.88) and 0.70 (95% CI, 0.64–0.75) in the most vulnerable students and 0.94 (95% CI, 0.91–0.97) and 0.81 (95% CI, 0.74–0.88) in those with moderate vulnerability.…”

Section: Discussionmentioning

confidence: 99%

Systematic estimation of BMI

et al. 2019

View full text Add to dashboard Cite

The prevalence of overweight–obesity has increased sharply among undergraduates worldwide. In 2016, approximately 52% of adults were overweight–obese. This cross-sectional study aimed to investigate the prevalence of overweight–obesity and explore in depth the connection between eating habits and overweight–obesity among Chinese undergraduates. The study population included 536 undergraduates recruited in Shijiazhuang, China, in 2017. They were administered questionnaires for assessing demographic and daily lifestyle characteristics, including sex, region, eating speed, number of meals per day, and sweetmeat habit. Anthropometric status was assessed by calculating the body mass index (BMI). The determinants of overweight–obesity were investigated by the Pearson χ 2 test, Spearman rho test, multivariable linear regression, univariate/multivariate logistic regression, and receiver operating characteristic curve analysis. The prevalence of undergraduate overweight–obesity was 13.6%. Sex [male vs female, odds ratio (OR): 1.903; 95% confidence interval (95% CI): 1.147–3.156], region (urban vs rural, OR: 1.953; 95% CI: 1.178–3.240), number of meals per day (3 vs 2, OR: 0.290; 95% CI: 0.137–0.612), and sweetmeat habit (every day vs never, OR: 4.167; 95% CI: 1.090–15.933) were significantly associated with overweight–obesity. Eating very fast was positively associated with overweight–obesity and showed the highest OR (vs very slow/slow, OR: 5.486; 95% CI: 1.622–18.553). However, the results of multivariate logistic regression analysis indicated that only higher eating speed is a significant independent risk factor for overweight/obesity (OR: 17.392; 95% CI, 1.614–187.363; P = .019). Score meng = 1.402 × score sex + 1.269 × score region + 19.004 × score eatin speed + 2.546 × score number of meals per day + 1.626 × score sweetmeat habit and BMI = 0.253 × Score meng + 18.592. These 2 formulas can help estimate the weight status of undergraduates and predict whether they will be overweight or obese.

show abstract

“…The grade of D− in overweight and obesity was based on the following 5 criteria: (1) the national prevalence of being overweight in children (26%) and adolescents (30%), and obese children (22%) and adolescents (16%) 22 , (2) a higher prevalence of obesity in boys than in girls 39,[42][43][44][45] and a higher prevalence in rural than urban locations 22 , (3) most of the research being conducted in public schools and the central zone of the country 39,42,43,45 , (4) a lack of data on toddlers and in high-socioeconomic-status families, and (5) despite a small reduction in overweight and obesity in children compared with the previous national report, the prevalence of malnutrition in children and adolescents is still alarming. 22…”

Section: Overweight and Obesitymentioning

confidence: 99%

2018 Chilean Physical Activity Report Card for Children and Adolescents: Full Report and International Comparisons

Aguilar-Farías¹,

Miranda-Márquez²,

Martino-Fuentealba³

et al. 2020

Journal of Physical Activity and Health

View full text Add to dashboard Cite

Background: The study summarizes the findings of the 2018 Chilean Report Card (RC) on Physical Activity (PA) for Children and Adolescents and compares the results with the first Chilean RC and with other countries from the Global Matrix 3.0. Methods: A Research Work Group using a standardized methodology from the Global Matrix 3.0 awarded grades for 13 PA-related indicators based on the percentage of compliance for defined benchmarks. Different public data sets, government reports, and papers informed the indicators. Results: The grades assigned were for (1) “behaviors that contribute to overall PA levels”: overall PA, D−; organized sport participation, D−; active play, INC; and active transportation, F; (2) “factors associated with cardiometabolic risk”: sedentary behavior, C−; overweight and obesity, F; fitness, D; sleep, INC; and (3) “factors that influence PA”: family and peers, F; school, D; inclusion, INC; community and built environment, B; government strategies and investments, B−. Conclusions: Chile’s grades remained low compared with the first RC. On the positive side, Chile is advancing in environmental and policy aspects. Our findings indicate that the implementation of new strategies should be developed through collaboration between different sectors to maximize effective investments for increasing PA and decreasing sedentary time among children and adolescents in Chile.

show abstract

Vulnerabilidad socioeconómica y obesidad en escolares chilenos de primero básico: comparación entre los años 2009 y 2013

Cited by 18 publications

References 22 publications

Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity

Chinese men living in urban areas of Shijiazhuang, Hebei at higher risk of overweight or obesity

Systematic estimation of BMI

2018 Chilean Physical Activity Report Card for Children and Adolescents: Full Report and International Comparisons

Contact Info

Product

Resources

About