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1.
Public Health Nutr ; 21(1): 189-200, 2018 Jan.
Article in English | MEDLINE | ID: mdl-28095942

ABSTRACT

OBJECTIVE: To investigate the association between neighbourhood food availability and the consumption of ready-to-consume products (RCP), either processed or ultra-processed, and unprocessed/minimally processed foods (UF-MPF) by children. DESIGN: Cross-sectional. 24 h Dietary recalls were collected from children from January 2010 to June 2011. Neighbourhood food availability data were collected from 672 food stores located within 500 m of participants' homes, using an adapted and validated instrument. Neighbourhood-level socio-economic status (SES) was obtained by calculating the mean years of household head's education level in each census tract covered by 500 m buffers. Foods that were consumed by children and/or available in the food stores were classified based on their degree of industrial processing. Multilevel random-effect models examined the association between neighbourhood food availability and children's diets. SETTING: Santos, Brazil. SUBJECTS: Children (n 513) under 10 years old (292 aged <6 years, 221 aged ≥6 years). RESULTS: The availability of RCP in food stores was associated with increased RCP consumption (P<0·001) and decreased UF-MPF consumption (P<0·001). The consumption of UF-MPF was positively associated with neighbourhood-level SES (P<0·01), but not with the availability of UF-MPF in the neighbourhood. CONCLUSIONS: Results suggest that food policies and interventions that aim to reduce RCP consumption in Santos and similar settings should focus on reducing the availability in food stores. The results also suggest that interventions should not only increase the availability of UF-MPF in lower-SES neighbourhoods, but should strive to make UF-MPF accessible within these environments.


Subject(s)
Diet , Fast Foods , Food Supply , Residence Characteristics , Body Mass Index , Brazil , Child , Cross-Sectional Studies , Female , Food Handling , Humans , Male , Mental Recall , Multilevel Analysis , Nutritional Status , Socioeconomic Factors
2.
Public Health Nutr ; 15(6): 1056-64, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22030258

ABSTRACT

OBJECTIVE: The present study aimed to investigate the individual and family determinants of being overweight among children younger than 10 years of age. DESIGN: Cross-sectional survey. Direct data on children's age, food intake, physical activity, type of transportation used and anthropometric measurements, as well as the education level of the mothers, were collected by trained interviewers. SETTING: Population-based study in the city of Santos, Brazil. SUBJECTS: A total of 531 children under 10 years of age (302 aged <6 years, 229 aged ≥6 years), living in the city of Santos. RESULTS: The overall prevalence of overweight and obesity (BMI-for-age Z-score >1) was 35·4 % for children under 6 years and 38·9 % for children aged 6-10 years. The socio-economic status of the family was associated with being overweight for both age groups. Logistic regression analysis showed that the lower the socio-economic status, the higher the likelihood of being overweight, among both younger children (OR = 7·73; P = 0·02) and older children (OR = 1·98; P = 0·04). The use of active transportation was associated with a lower likelihood of being overweight, but only among younger children (OR = 1·70; P = 0·05). CONCLUSIONS: Socio-economic status seems to be an important individual-level determinant of overweight in children. Public policies should consider promoting the use of active transportation, as the results showed it to have a positive effect on reducing overweight issues. The high prevalence of overweight in younger children suggests that this age group should be a priority in health-promoting interventions.


Subject(s)
Body Mass Index , Obesity/etiology , Social Class , Transportation , Age Factors , Brazil/epidemiology , Child , Child, Preschool , Family , Female , Humans , Infant , Logistic Models , Male , Obesity/epidemiology , Overweight , Prevalence , Residence Characteristics , Risk Factors , Urban Population
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