Mapping domains of early-life determinants of future multimorbidity across three UK longitudinal cohort studies.
Mapping domains of early-life determinants of future multimorbidity across three UK longitudinal cohort studies.
Objectives: 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 aimed to explore how potential multiple early-life determinants of multimorbidity can be audited and characterised across three UK cohort studies.
Approach: we used the 1958 National Child Development Study (NCDS), the 1970 British Cohort Study (BCS70), and the Aberdeen Children of the 1950s Study (ACONF) to identify and categorise early-life variables that fit into 12 previously conceptualised domains of early-life determinants of multimorbidity. A data audit manually assigned variables into the domain they best represented. Principal component analysis (PCA) reduced the dimensionality of the data and structured variables into subgroups. Important PCA components defined as the component that contributed the greatest proportion of the overall variance were identified.
Results: seven domains were characterised by 74 va
Stannard, Sebastian
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Berrington, Ann
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Fraser, Simon
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Paranjothy, Shantini
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Hoyle, Rebecca
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Owen, Rhiannon
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Akbari, Ashley
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Shiranirad, Mozhdeh
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Chiovoloni, Roberta
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Alwan, Nisreen
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10 September 2024
Stannard, Sebastian
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Berrington, Ann
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Fraser, Simon
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Paranjothy, Shantini
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Hoyle, Rebecca
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Owen, Rhiannon
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Akbari, Ashley
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Shiranirad, Mozhdeh
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Chiovoloni, Roberta
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Alwan, Nisreen
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Stannard, Sebastian, Berrington, Ann, Fraser, Simon, Paranjothy, Shantini, Hoyle, Rebecca, Owen, Rhiannon, Akbari, Ashley, Shiranirad, Mozhdeh, Chiovoloni, Roberta and Alwan, Nisreen
(2024)
Mapping domains of early-life determinants of future multimorbidity across three UK longitudinal cohort studies.
International Journal of Population Data Science, 9 (5).
(doi:10.23889/ijpds.v9i5.2559).
Record type:
Meeting abstract
Abstract
Objectives: 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 aimed to explore how potential multiple early-life determinants of multimorbidity can be audited and characterised across three UK cohort studies.
Approach: we used the 1958 National Child Development Study (NCDS), the 1970 British Cohort Study (BCS70), and the Aberdeen Children of the 1950s Study (ACONF) to identify and categorise early-life variables that fit into 12 previously conceptualised domains of early-life determinants of multimorbidity. A data audit manually assigned variables into the domain they best represented. Principal component analysis (PCA) reduced the dimensionality of the data and structured variables into subgroups. Important PCA components defined as the component that contributed the greatest proportion of the overall variance were identified.
Results: seven domains were characterised by 74 va
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ipdln-2024-075
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Published date: 10 September 2024
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Local EPrints ID: 495430
URI: http://eprints.soton.ac.uk/id/eprint/495430
PURE UUID: c5ce1812-b1b7-4a2b-a547-76953c2b55cb
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Date deposited: 13 Nov 2024 17:42
Last modified: 15 Nov 2024 03:07
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Author:
Sebastian Stannard
Author:
Shantini Paranjothy
Author:
Rhiannon Owen
Author:
Ashley Akbari
Author:
Mozhdeh Shiranirad
Author:
Roberta Chiovoloni
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