Malnutrition in all its forms and socio-economic indicators in Argentina
María Elisa Zapata1, Ana Inés Soruco2, Esteban Carmuega1
1Center of Studies in Child Nutrition Dr. Alejandro O'Donnell (CESNI), Cerrito 1136, 1° (Post Code 1010), Buenos Aires City, Argentina.
Objective:
To assess the prevalence of five forms of malnutrition (wasting/underweight, overweight, obesity, stunting/short stature and anaemia) by socio-economic wealth (SEW) and educational level (EL) among children, adolescents and women of reproductive age in Argentina.
Design:
Analysis from a cross-sectional survey. Anthropometric indicators and prevalence of anaemia were estimated. SEW was classified according to the proportion of contributors in the household, employment status, EL and medical coverage. EL was categorized by years of formal education.
Setting:
National Health and Nutrition Survey, 2005.
Participants:
Children (n 27 015) <5 years, adolescent girls (n 1729) 11-19 years, women (n 4401) 20-49 years.
Results:
In Argentina, 26 % of households lived with unsatisfied basic needs and 23 % received at least one form of food assistance. Any form of malnutrition affected 23 % of children, 36 % of girls and 56 % of women. Children were especially affected by anaemia, overweight/obesity and stunting (15·2, 9·9, 7·4 %, respectively). Girls were affected by overweight/obesity, anaemia and stunting (22·5, 15·2, 6·2 %). Women were strongly affected by overweight/obesity, anaemia and stunting (43·8, 19·8, 10·5 %). Stunting or short stature was higher in low-SEW settings, doubling in prevalence between low and high levels, increasing four times among women in reproductive age (P < 0·05). Excess weight among children was higher in high-SEW settings, in women the tendency was inverse. Anaemia showed different tendency according to SEW.
Conclusions:
In 2005, Argentina had high rates of excess weight and anaemia, moderate prevalence of stunting and low frequency of wasting/underweight. All forms of malnutrition showed a strong relationship with socio-economic and educational inequality.
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