Is obesity more likely among children sharing a household with an older child with obesity?

ObjectivesWe used a dynamic method of identifying household members from Electronic Health Records (EHRs) linked to National Child Measurement Programme (NCMP) data estimate the likelihood children with obesity sharing an older child obesity, accounting for individual and characteristics.
 MethodsWe included 126,829 NCMP participants in four London boroughs assigned households encrypted Unique Property reference Numbers (UPRNs) at date 115,466 (91%). We categorised ethnic-adjusted body mass index youngest oldest (underweight/healthy weight<91st, ≥91st <98th overweight, obesity≥98th centile) explored associations child’s weight status with: status, number (two, three or ≥4), sex, ethnicity school year participation (reception 6). estimated adjusted odds ratios (aOR) 95% confidence intervals (CI) child.
 Results19,702 UPRNs were shared by two more (youngest children: 51.2% male, 69.5% reception). 10.4% (95% CI: 10.0,10.9) 13.0% (12.5,14.3) living obesity. One third another (33.2%; 31.2,35.2), compared 9.2% (8.8,9.7) those healthy weight. Youngest overweight (aOR: 2.33; 2.06,2.64) (4.59, 4.10,5.14), South Asian ethnic backgrounds (1.89; 1.64,2.19) taking part 6 (2.21; 2.00,2.43) likely, girls (0.73; 0.67,0.81), just one other (0.87; 0.77,0.98) Black (0.78; 0.66,0.93) less be obesity.
 ConclusionLinked EHRs can provide novel insights into same household. Further qualitative research is needed understand how food practices may vary characteristics improve our understanding home environment influences childhood