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A Multiple Logistic Regression Analysis of Household Food and Nutrition Insecurity in Stunting and Non-Stunting Toddlers.
- Source :
- Current Research in Nutrition & Food Science; 2024, Vol. 12 Issue 1, p452-461, 10p
- Publication Year :
- 2024
-
Abstract
- Stunting, wasting, and underweight are growth disorders in children under 5 years of age due to malnutrition in Indonesia. The level of macronutrient intake is a risk factor that directly influences stunting and wasting. Food insecurity is associated with poverty, malnutrition, and hunger. This study aimed to analyze food and nutritional insecurity in households with stunting and non-stunting toddlers, using a multivariate model. This study used a comparative cross-sectional design. Using the Lemeshow formula, 142 samples were obtained from a population of 822 children under Ave. Food insecurity was measured using the Food Insecurity Experience Scale (FIES), diversity using IDDS, and macronutrient intake using 2x24-hour food recall. Stunting, wasting, and underweight were measured based on anthropometry. Bivariate analysis was performed using multivariate logistic regression analysis. Food insecurity, energy intake, protein intake, carbohydrate intake, underweight, and maternal nutritional knowledge had a significant relationship with the incidence of stunting in toddlers. These results also showed that the underweight variable was the most dominant cause of stunting because it had the highest OR value of 18.572. The OR value showed that underweight toddlers were 18.572 times more likely to have a stunting nutritional status. Toddlers categorized as underweight face an 18.572 times higher likelihood of experiencing stunting in their nutritional status. [ABSTRACT FROM AUTHOR]
- Subjects :
- FOOD supply statistics
CROSS-sectional method
RISK assessment
HEALTH services accessibility
MOTOR ability
MALNUTRITION
FOOD consumption
CARBOHYDRATES
RESEARCH funding
FOOD security
MULTIPLE regression analysis
SOCIOECONOMIC factors
FISHER exact test
HUNGER
PARENTING
NUTRITIONAL requirements
DESCRIPTIVE statistics
CHI-squared test
ODDS ratio
NUTRITIONAL status
HOUSEHOLD supplies
NUTRITION disorders in children
PSYCHOLOGY of mothers
STATISTICS
GROWTH disorders
ANTHROPOMETRY
PUBLIC administration
COMPARATIVE studies
DATA analysis software
DISEASE incidence
POVERTY
CHILDREN
Subjects
Details
- Language :
- English
- ISSN :
- 2347467X
- Volume :
- 12
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Current Research in Nutrition & Food Science
- Publication Type :
- Academic Journal
- Accession number :
- 177131310
- Full Text :
- https://doi.org/10.12944/CRNFSJ.12.1.36