Back to Search
Start Over
Factors associated with food insecurity in households of public school students of Salvador City, Bahia, Brazil.
- Source :
-
Journal of health, population, and nutrition [J Health Popul Nutr] 2013 Dec; Vol. 31 (4), pp. 471-9. - Publication Year :
- 2013
-
Abstract
- This cross-sectional study was conducted to find out the factors associated with food insecurity (FI) in households of the students aged 6-12 years in public schools of Salvador city, Bahia, Brazil. The study included 1,101 households. Food and nutritional insecurity was measured using the Brazilian Food Insecurity Scale (BFIS). Data on socioeconomic and demographic characteristics as well as environmental and housing conditions were collected during the interviews conducted with the reference persons. Multivariate polytomous logistic regression was used in assessing factors associated with food insecurity. We detected prevalence of food insecurity in 71.3% of the households. Severe and moderate forms of FI were diagnosed in 37.1% of the households and were associated with: (i) female gender of the reference person in the households (OR 2.21, 95% CI 1.47-3.31); (ii) a monthly per-capita income below one-fourth of the minimum wage (US$ 191.73) (OR 2.63, 95% CI 1.68-4.08); (iii) number of residents per bedroom below 3 persons (OR 1.91, 95% CI 1.23-2.96); and (iv) inadequate housing conditions (OR 1.84, 95% CI 1.12-4.49). Socioeconomic inequalities determine the factors associated with FI of households in Salvador, Bahia. Identifying vulnerabilities is necessary to support public policies in reducing food insecurity in the country. The results of the present study may be used in re-evaluating strategies that may limit the inequalities in school environment.
- Subjects :
- Adolescent
Brazil
Child
Cross-Sectional Studies
Family Characteristics
Female
Food Supply methods
Housing statistics & numerical data
Humans
Male
Nutrition Surveys methods
Nutrition Surveys statistics & numerical data
Poverty
Prevalence
Risk Factors
Schools
Socioeconomic Factors
Food Supply statistics & numerical data
Students statistics & numerical data
Urban Population statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1606-0997
- Volume :
- 31
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Journal of health, population, and nutrition
- Publication Type :
- Academic Journal
- Accession number :
- 24592588