Mapping geographic trends in early childhood social emotional, and behavioural difficulties in Glasgow : 2010–2017
Ofili, Samantha and Thompson, Lucy and Wilson, Philip and Marryat, Louise and Connelly, Graham and Henderson, Marion and Barry, Sarah J. E. (2022) Mapping geographic trends in early childhood social emotional, and behavioural difficulties in Glasgow : 2010–2017. International Journal of Environmental Research and Public Health, 19 (18). p. 11520. 11520. ISSN 1660-4601 (https://doi.org/10.3390/ijerph191811520)
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Abstract
Measuring variation in childhood mental health supports the development of local early intervention strategies. The methodological approach used to investigate mental health trends (often determined by the availability of individual level data) can affect decision making. We apply two approaches to identify geographic trends in childhood social, emotional, and behavioural difficulties using the Strengths and Difficulties Questionnaire (SDQ). SDQ forms were analysed for 35 171 children aged 4–6 years old across 180 preschools in Glasgow, UK, between 2010 and 2017 as part of routine monitoring. The number of children in each electoral ward and year with a high SDQ total difficulties score (≥15), indicating a high risk of psychopathology, was modelled using a disease mapping model. The total difficulties score for an individual child nested in their preschool and electoral ward was modelled using a multilevel model. For each approach, linear time trends and unstructured spatial random effects were estimated. The disease mapping model estimated a yearly rise in the relative rate (RR) of high scores of 1.5–5.0%. The multilevel model estimated an RR increase of 0.3–1.2% in average total scores across the years, with higher variation between preschools than between electoral wards. Rising temporal trends may indicate worsening social, emotional, and behavioural difficulties over time, with a faster rate for the proportion with high scores than for the average total scores. Preschool and ward variation, although minimal, highlight potential priority areas for local service provision. Both methodological approaches have utility in estimating and predicting children's difficulties and local areas requiring greater intervention.
ORCID iDs
Ofili, Samantha, Thompson, Lucy, Wilson, Philip, Marryat, Louise, Connelly, Graham


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Item type: Article ID code: 82443 Dates: DateEvent13 September 2022Published13 September 2022Published Online7 September 2022AcceptedNotes: This article belongs to the Special Issue Investigation and Evaluation of Mental Health among Children Keywords: child development, disease mapping, multilevel modelling, SDQ, spatiotemporal, children, social and emotional difficulties, early years, Public health. Hygiene. Preventive Medicine, Communities. Classes. Races, Child Health. Child health services, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis, Health(social science), Pediatrics, Perinatology, and Child Health, SDG 3 - Good Health and Well-being Subjects: Medicine > Public aspects of medicine > Public health. Hygiene. Preventive Medicine
Social Sciences > Communities. Classes. Races
Medicine > Pediatrics > Child Health. Child health servicesDepartment: Faculty of Science > Mathematics and Statistics
Faculty of Humanities and Social Sciences (HaSS) > School of Social Work and Social Policy > Centre for Excellence for Children's Care and Protection (CELCIS)
Faculty of Humanities and Social Sciences (HaSS) > School of Social Work and Social Policy > Social Work and Social Policy > Social Work
Faculty of Humanities and Social Sciences (HaSS) > School of Social Work and Social Policy > Social Work and Social Policy
Strategic Research Themes > Health and WellbeingDepositing user: Pure Administrator Date deposited: 22 Sep 2022 13:59 Last modified: 25 May 2023 14:23 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/82443