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Mapping domains of early life determinants of future multimorbidity across three UK longitudinal cohort studies.
Stannard, S; Berrington, A; Fraser, S D S; Paranjothy, S; Hoyle, R B; Owen, R K; Akbari, A; Shiranirad, M; Chiovoloni, R; Alwan, N A.
Afiliación
  • Stannard S; Faculty of Medicine, School of Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK. S.J.Stannard@soton.ac.uk.
  • Berrington A; School of Economic, Social and Political Sciences, University of Southampton, Southampton, UK.
  • Fraser SDS; Faculty of Medicine, School of Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.
  • Paranjothy S; School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
  • Hoyle RB; School of Mathematical Sciences, University of Southampton, Southampton, UK.
  • Owen RK; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, UK.
  • Akbari A; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, UK.
  • Shiranirad M; School of Mathematical Sciences, University of Southampton, Southampton, UK.
  • Chiovoloni R; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, UK.
  • Alwan NA; Faculty of Medicine, School of Primary Care, Population Sciences and Medical Education, University of Southampton, Southampton, UK.
Sci Rep ; 14(1): 21454, 2024 09 13.
Article en En | MEDLINE | ID: mdl-39271760
ABSTRACT
Many studies use a reductionist approach to isolate the influence of one factor in childhood on multimorbidity rather than consider the combined effect of wider determinants. We explored how potential multiple early life determinants of multimorbidity can be characterised across three UK cohort studies. We used the National Child Development Study (NCDS), the 1970 British Cohort Study (BCS70), and the Aberdeen Children of the 1950s Study (ACONF) to identified early life variables that fit into 12 conceptualised domains of early life determinants of multimorbidity. Variables were assigned into 12 domains; principal component analysis reduced the dimensionality of the data and structured variables into subgroups. The data audit identified 7 domains in ACONF, 10 domains in NCDS and 12 domains in BCS70. Dominant components included maternal fertility histories within the prenatal, antenatal and birth domain, long-term illnesses within the child health domain, educational ability within the child education and health literacy domain, ethnicity within the demography domain, parental health behaviours within the transgenerational domain, housing within the socioeconomic domain and parental-child interactions within the parental-family domain. We demonstrated that if multiple large scale longitudinal studies are used, there is enough data available for researchers to consider conceptualising early life risk factors of multimorbidity across groups or domains. Such conceptualisation can help challenge the existing understanding of disease aetiology and develop new ideas for prevention of multimorbidity.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Multimorbilidad Límite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Multimorbilidad Límite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Male País/Región como asunto: Europa Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido