Bandyopadhyay A, Tingay K, Akbari A, Griffiths L, Bedford H, Cortina-Borja M, Walton S, Dezateux C, Lyons RA, Brophy S.
Archives of Disease in Childhood (2019) doi: 10.1136/archdischild-2019-317271
OBJECTIVE: To evaluate long-term associations between early childhood hyperactivity and conduct problems (CP), measured using Strengths and Difficulties Questionnaire (SDQ) and risk of injury in early adolescence.
DESIGN: Data linkage between a longitudinal birth cohort and routinely collected electronic health records.
SETTING: Consenting Millennium Cohort Study (MCS) participants residing in Wales and Scotland. PATIENTS:3119 children who participated in the age 5 MCS interview.
MAIN OUTCOME MEASURES: Children with parent-reported SDQ scores were linked with hospital admission and Accident & Emergency (A&E) department records for injuries between ages 9 and 14 years. Negative binomial regression models adjusting for number of people in the household, lone parent, residential area, household poverty, maternal age and academic qualification, child sex, physical activity level and country of interview were fitted in the models.
RESULTS: 46% of children attended A&E or were admitted to hospital for injury, and 11% had high/abnormal scores for hyperactivity and CP. High/abnormal or borderline hyperactivity were not significantly associated with risk of injury, incidence rate ratio (IRR) with 95% CI of the high/abnormal and borderline were 0.92 (95% CI 0.74 to 1.14) and 1.16 (95% CI 0.88 to 1.52), respectively. Children with borderline CP had higher injury rates compared with those without CP (IRR 1.31, 95% CI 1.09 to 1.57).
CONCLUSIONS: Children with high/abnormal hyperactivity or CP scores were not at increased risk of injury; however, those with borderline CP had higher injury rates. Further research is needed to understand if those with difficulties receive treatment and support, which may reduce the likelihood of injuries.
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...
Ronan Lyons is Professor of Public Health at Swansea University, Honorary Consultant with Public Health Wales NHS Trust and Adjunct Professor at Monash University, Australia. Ronan has nearly 40...
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...