ArticleInternational journal of methods in psychiatric research2022
The importance of definitions in the measurement of long-term health conditions in childhood. Variations in prevalence of long-term health conditions in the UK using data from the Millennium Cohort Study, 2004-2015.
Article in International journal of methods in psychiatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Prevalence of chronic conditions among children and adolescents-register data and self-reports.European journal of pediatrics · 2026Article
- A framework to amplify the voices of underrepresented children and young people in rare disease research.Journal of patient-reported outcomes · 2026Article
- Long-term physical health conditions and youth anxiety and depression: Is there a causal link?Psychological medicine · 2025Article
- Neither seen nor heard: the evidence gap on the effect of covid-19 on mental health in children.BMJ (Clinical research ed.) · 2024Article
- Utilization of Healthcare Services in Patients with Chronic Diseases under 18 Years Old: Differences and Contributing Factors.Journal of personalized medicine · 2024Article
- The importance of definitions in the measurement of long-term health conditions in childhood. Variations in prevalence of long-term health conditions in the UK using data from the Millennium Cohort Study, 2004-2015.International journal of methods in psychiatric research · 2022Article
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Abstract
objectivesTo explore the impact of various measurements of long-term health conditions (LTCs) on the resulting prevalence estimates using data from a nationally representative dataset.
methodsChildren and young people in the Millennium Cohort Study were followed at ages 3, 5, 7, 11, and 14 years (N = 15,631). We estimated the weighted prevalence of LTCs at each time point and examined the degree to which estimates agreed with alternate health indicators (special educational needs and disability [SEND], specific chronic conditions, and common chronicity criteria) using descriptive analyses, Cohen's kappa statistic, and percentage agreement.
resultsThe estimated weighted prevalence of LTCs peaked at 5 years old (20%). Despite high percentage agreement, we observed at best moderate chance-corrected agreement between the type of LTC and reasons for SEND (kappas from 0.02 to 0.56, percentage agreement from 97% to 99%) or specified chronic conditions (kappas from 0.002 to 0.02, percentage agreement from 73% to 97%). Applying chronicity criteria decreased the estimated weighted prevalence of LTCs (3%).
conclusionHow long-term conditions are defined drastically alters the estimated weighted prevalence of LTCs. Improved clarity and consistency in the definition and measurement of LTCs is urgently needed to underpin policy and commissioning of services.
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