Are children with clinical obesity at increased risk of inpatient hospital admissions? An analysis using linked electronic health records in the UK millennium cohort study
18 January 2019
Griffiths LJ, Cortina-Borja M, Bandyopadhyay A, Tingay K, De Stavola BL, Bedford H, Akbari A, Firman N, Lyons RA, Dezateux C
Pediatric Obesity (2019) 14(6):e12505
BACKGROUND: Few studies have examined health service utilization of children with overweight or obesity by using linked electronic health records (EHRs).
OBJECTIVE / METHODS: We analysed EHRs from 3269 children (1678 boys; 51.3% [weighted]) participating in the Millennium Cohort Study, living in Wales or Scotland at age seven whose parents consented to record linkage. We used height and weight measurements at age five to categorize children as obese (>98th centile) or overweight (>91st centile) (UK1990 clinical reference standards) and linked to hospital admissions, up to age 14Â years, in the Patient Episode Database for Wales and Scottish Morbidity Records. Negative binomial regression models compared rates of inpatient admissions by weight status at age five.
RESULTS: At age five, 11.5% and 6.7% of children were overweight or obese, respectively; 1221 (38%) children were subsequently admitted to hospital at least once. Admissions were not increased among children with overweight or obesity (adjusted rate ratio [RR], 95% confidence interval [CI]: 0.87, 0.68-1.10 and 1.16, 0.87-1.54, respectively).
CONCLUSIONS: In this nationally representative cohort of children in Wales and Scotland, those with overweight or obesity at entry to primary school did not have increased rates of hospital admissions in later childhood and early adolescence.
Health data research
Health Data Science is a discipline that combines maths, statistics and technology to study different types of health problems using data. It provides the tools to manage and analyse very large...
Health Data Research UK researchers develop innovative tools and technologies needed to unlock knowledge from complex and diverse health data, to address some of the biggest health challenges that...
Professor Carol Dezateux
Professor of Clinical Epidemiology and Health Data Science at Queen Mary University London
Professor Carol Dezateux’s research uses health information collected about children, including at school or in the course of their NHS care, to understand the household, social and...