The Urban-Rural Continuum and Child Health: Influence of Residential Location on Ultra-Processed Food Consumption, Physical Activity, and Metabolic Biomarkers.
Luiz Felipe da Cruz Rangel, Cynthia Gonçalves Silva, Alessandra Alegre de Matos and 2 others
PMID 42453080WHAT IT FOUND
Schoolchildren in Brazilian urban expansion areas had more prediabetes and abnormal lipids than children in consolidated urban areas, despite similar ultra-processed food intake and overall activity.
Walking or cycling to school was much less common.
Key findings
01Ultra-processed food consumption and overall physical activity did not differ significantly by residential area, but active commuting did: 97.6% of children in urban expansion areas used passive commuting, compared with 57.4% in consolidated urban areas.
02Prediabetes was significantly more frequent in urban expansion areas; the paper reports 87% lower odds for children in consolidated urban areas (OR 0.133; 95% CI 0.045-0.358).
03Elevated total cholesterol, low HDL-c, elevated LDL-c, and elevated triglycerides were significantly less likely in consolidated urban areas (OR 0.423, OR 0.324, OR 0.304, OR 0.484). After adjustment, glucose, total cholesterol, HDL-c, and LDL-c associations remained significant; triglycerides was borderline (p=0.068).
STILL TO COME
How it was doneWhat they foundWhat it means for RNs
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
The design was cross-sectional, so it cannot show that living in an urban expansion area caused the metabolic differences. The sample came from one municipality in southeastern Brazil, so the results may not apply to other regions. Diet and physical activity were reported by caregivers and children on previous-day questionnaires, which can involve recall bias and social desirability bias. Several outcomes were analysed in smaller subsets than the 420 consented children, including 223 biochemical tests and 168 guardian questionnaires. Income and parental education were self-reported and had missing data, which may reduce power and introduce information bias. The study did not measure objective environmental factors such as school distance, street quality, or public infrastructure.
The easy way to misread this
Do not conclude that living in an urban expansion area caused prediabetes or abnormal lipids. This was a cross-sectional study, and the measured ultra-processed food consumption and overall physical activity did not differ between areas.