Diana C Parra1, Luis F Gomez2, Lora Iannotti3, Debra Haire-Joshu4, Anne K Sebert Kuhlmann5, Ross C Brownson6. 1. 1Program of Physical Therapy,Washington University in St. Louis School of Medicine,4444 Forest Park Avenue,St. Louis,MO 63108,USA. 2. 3Facultad de Medicina,Pontificia Universidad Javeriana,Bogotá,Colombia. 3. 4Brown School,Washington University in St. Louis,St. Louis,MO,USA. 4. 5Center For Diabetes Translation Research,Brown School,Washington University in St. Louis,St. Louis,MO,USA. 5. 6College for Public Health & Social Justice,Saint Louis University,St. Louis,MO,USA. 6. 7Prevention Research Center in St. Louis,Brown School,Washington University in St. Louis,St. Louis, MO,USA.
Abstract
OBJECTIVE: We aimed to assess the maternal and family determinants of four anthropometric typologies at the household level in Colombia for the years 2000, 2005 and 2010. DESIGN: We classified children 2) to assess stunting and overweight/obesity, respectively; mothers were categorized according to BMI to assess underweight (<18·5 kg/m2) and overweight/obesity (≥25·0 kg/m2). At the household level, we established four final anthropometric typologies: normal, underweight, overweight and dual-burden households. Separate polytomous logistic regression models for each of the surveyed years were developed to examine several maternal and familial determinants of the different anthropometric typologies. SETTING: National and sub-regional (urban and rural) representative samples from Colombia, South America. SUBJECTS: Drawing on data from three waves of Colombia's Demographic and Health Survey/Encuesta Nacional de Salud (DHS/ENDS), we examined individual and household information from mothers (18-49 years) and their children (birth-5 years). RESULTS: Higher parity was associated with an increased likelihood of overweight and dual burden. Higher levels of maternal education were correlated with lower prevalence of overweight, underweight and dual burden of malnutrition in all data collection waves. In 2010, participation in nutrition programmes for children <5 years, being an indigenous household, food purchase decisions by the mother and food security classification were also associated with the four anthropometric typologies. CONCLUSIONS: Results suggest that maternal and family correlates of certain anthropometric typologies at the household level may be used to better frame policies aimed at improving social conditions and nutrition outcomes.
OBJECTIVE: We aimed to assess the maternal and family determinants of four anthropometric typologies at the household level in Colombia for the years 2000, 2005 and 2010. DESIGN: We classified children 2) to assess stunting and overweight/obesity, respectively; mothers were categorized according to BMI to assess underweight (<18·5 kg/m2) and overweight/obesity (≥25·0 kg/m2). At the household level, we established four final anthropometric typologies: normal, underweight, overweight and dual-burden households. Separate polytomous logistic regression models for each of the surveyed years were developed to examine several maternal and familial determinants of the different anthropometric typologies. SETTING: National and sub-regional (urban and rural) representative samples from Colombia, South America. SUBJECTS: Drawing on data from three waves of Colombia's Demographic and Health Survey/Encuesta Nacional de Salud (DHS/ENDS), we examined individual and household information from mothers (18-49 years) and their children (birth-5 years). RESULTS: Higher parity was associated with an increased likelihood of overweight and dual burden. Higher levels of maternal education were correlated with lower prevalence of overweight, underweight and dual burden of malnutrition in all data collection waves. In 2010, participation in nutrition programmes for children <5 years, being an indigenous household, food purchase decisions by the mother and food security classification were also associated with the four anthropometric typologies. CONCLUSIONS: Results suggest that maternal and family correlates of certain anthropometric typologies at the household level may be used to better frame policies aimed at improving social conditions and nutrition outcomes.
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