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1.
Public Health ; 118(1): 43-9, 2004 Jan.
Article in English | MEDLINE | ID: mdl-14643626

ABSTRACT

BACKGROUND: The association between overweight parents and overweight children/adolescents was investigated in Rio de Janeiro, Brazil between 1995 and 1996, controlling for the influence of socio-economic and demographic factors. METHODS: Data were obtained from a two-stage, residence-based, random sample survey of children and adolescents aged 6-19 years and their parents. Body mass index (BMI) was used to classify nutritional status. Initially, a logistic regression model was built, using an indicator of parental weight (maternal BMI) as one of the independent variables and the child/adolescent's BMI as the dependent variable. Following that, the association between socio-economic and demographic variables and overweight children/adolescents was analysed in a univariate analysis. These variables were pre-selected for inclusion in the logistic model, provided that their levels of statistical significance were below P=0.25, and were added to the model individually according to the order of association strength in the univariate analysis. Finally, variables were retained in this model at a significance level of P=0.05. RESULTS: This study found that 20.7% of girls and 26.9% of boys were overweight, with a larger prevalence among children aged less than 9 years. In addition to maternal BMI, the predictors of overweight children and adolescents were age, gender and the number of people in a house. CONCLUSIONS: These results demonstrate the relationship between maternal nutritional status and overweight children and adolescents, suggesting that obesity-prevention programmes should be focused on the family.


Subject(s)
Nutritional Status , Obesity/epidemiology , Parents , Adolescent , Adult , Analysis of Variance , Body Mass Index , Brazil/epidemiology , Child , Female , Humans , Logistic Models , Male , Obesity/prevention & control , Prevalence , Risk Factors , Socioeconomic Factors
2.
Public Health ; 115(3): 236-42, 2001 May.
Article in English | MEDLINE | ID: mdl-11429722

ABSTRACT

The purpose of the survey was to investigate the association of overweight (body mass index, BMI) and central body fat distribution (waist/hip girth ratio WHR) with socio-economic, demographic, lifestyle and dietary variables in the adult population of Rio de Janeiro City, Brazil, 1995-1996. A two-stage random sample population-based survey was performed, with 1455 males and 1906 females above 20 y old resident in Rio de Janeiro City, Brazil. Data were obtained by direct interview and physical examination of the subjects. The intake of selected nutrients (fat, saturated fat, cholesterol) and energy was obtained from a semi-quantitative food frequency questionnaire (FFQ). Variables with at least a marginal univariate association with the dependent variables (BMI and WHR) were selected as predictors in two logistic regression models, and variables statistically significant (P<0.05) were retained in them. Overweight prevalence was 44.9%, and 39.2% of the subjects had excessive central body fat distribution (elevated WHR). The proportions of subjects with an excessive intake of fat, saturated fat and cholesterol were respectively 31%, 42% and 47%. For the BMI model, the variables retained were age (OR=1.5, 95% CI=1.3-1.7), schooling (OR=1.7, 1.4-1.9) and smoking (OR=0.8; 0.7-0.9); and for WHR, age (OR=1.8, 1.5-2.1), schooling (OR=2.2, 1.9-2.6), occupation (OR=1.8, 1.1-2.0) and gender (OR=3.9, 3.2-4.7). Obesity and excessive central body fat are highly prevalent health problems in the studied population. As suggested by the identified risk factors, they should be urgently addressed through health nutrition education and physical activity programs; particularly those directed to the middle aged and female groups.


Subject(s)
Obesity/epidemiology , Obesity/etiology , Urban Population , Adult , Body Mass Index , Brazil/epidemiology , Demography , Diet Records , Eating/physiology , Female , Humans , Life Style , Male , Middle Aged , Risk Factors , Socioeconomic Factors , Surveys and Questionnaires
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