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Using newly harmonised individual-level data on health and socio-economic environments in Latin American cities (from the Salud Urbana en América Latina (SALURBAL) study), we assessed the association between obesity and education levels and explored potential effect modification of this association by city-level socio-economic development.
Design:
This cross-sectional study used survey data collected between 2002 and 2017. Absolute and relative educational inequalities in obesity (BMI ≥ 30 kg/m2, derived from measured weight and height) were calculated first. Then, a two-level mixed-effects logistic regression was run to test for effect modification of the education–obesity association by city-level socio-economic development. All analyses were stratified by sex.
Setting:
One hundred seventy-six Latin American cities within eight countries (Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico and Peru).
Participants:
53 186 adults aged >18 years old.
Results:
Among women, 25 % were living with obesity and obesity was negatively associated with educational level (higher education–lower obesity) and this pattern was consistent across city-level socio-economic development. Among men, 18 % were living with obesity and there was a positive association between education and obesity (higher education–higher obesity) for men living in cities with lower levels of development, whereas for those living in cities with higher levels of development, the pattern was inverted and university education was protective of obesity.
Conclusions:
Among women, education was protective of obesity regardless, whereas among men, it was only protective in cities with higher levels of development. These divergent results suggest the need for sex- and city-specific interventions to reduce obesity prevalence and inequalities.
To summarise the findings from this supplemental issue on the distribution of malnutrition (stunting/short stature, anaemia and overweight) by wealth, education and ethnicity within and between ten Latin American countries.
Design:
We retrieved information from each country’s article and estimated the average difference in the prevalence of malnutrition between groups. We estimated the associations between countries’ malnutrition prevalence and GDP, percentage of women with high education and percentage of non-indigenous ethnicity.
Setting:
Nationally representative surveys from ten Latin American countries conducted between 2005 and 2017.
Participants:
Children (<5 years), adolescent women (11–19 years) and adult women (20–49 years).
Results:
Socially disadvantaged groups (low wealth, low education and indigenous ethnicity) had on average 15–21 (range across indicators and age groups) percentage points (pp) higher prevalence of stunting/short stature and 3–11 pp higher prevalence of anaemia. For overweight or obesity, adult women with low education had a 17 pp higher prevalence; differences were small among children <5 years, and results varied by country for adolescents by education, and for adults and adolescents by wealth and ethnicity. A moderate and strong correlation (–0·58 and –0·71) was only found between stunting/short stature prevalence and countries’ GDP per capita and percentage of non-indigenous households.
Conclusions:
Overweight was equally distributed among children; findings were mixed for ethnicity and wealth, whereas education was a protective factor among adult women. There is an urgent need to address the deep inequalities in undernutrition and prevent the emerging inequalities in excess weight from developing further.
To analyse disparities of malnutrition in all its forms by socio-economic indicators in children aged <5 years, adolescent girls and women of reproductive age (WRA).
Design:
We defined wasting/underweight, stunting/short stature, overweight and obesity following the WHO criteria for children aged <5 years, adolescents and WRA. We evaluated the prevalence of malnutrition by wealth status, education level and ethnicity (indigenous/non-indigenous).
Setting:
Guatemalan 2014–2015 National Maternal and Child Health Survey.
Participants:
Children aged <5 years (n 11 962), adolescent girls aged 15–19 years (n 1086) and WRA aged 20–49 years (n 11 354).
Results:
Stunting/short stature prevalence among children, adolescents and WRA was 2·8, 2·1 and 2·0 times higher in the poorest compared with the richest; 2·9, 2·9 and 2·1 times higher in the lower educational level than in the highest; and 1·7, 1·7 and 1·6 times higher in the indigenous than in the non-indigenous population. In contrast, overweight/obesity prevalence among children, adolescents and WRA was 1·6, 2·1 and 1·8 times higher in the richest compared with the poorest; 1·6, 1·3 and 1·3 times higher in the higher educational level than in the lowest; and 1·3, 1·7 and 1·3 times higher in the non-indigenous than in the indigenous population.
Conclusions:
Stunting/short stature is more prevalent among low-income, low-education and indigenous populations in all age groups. In contrast, overweight/obesity is more prevalent in high-income, high-education and non-indigenous populations in all age groups. These outcomes demonstrate socio-economic and ethnic disparities for malnutrition in all its forms.
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