Early-life predictors of future multi-morbidity: results from the Hertfordshire Cohort
Early-life predictors of future multi-morbidity: results from the Hertfordshire Cohort
Background: Multi-morbidity is an increasing challenge in western medicine and has the potential to impact patients’ quality of life, treatment options and compliance with medications. The aim of this study was to identify early life predictors of long-term multi-morbidity in an historical cohort, the Hertfordshire Cohort Study (HCS).
Methods: Perinatal and infant health records were kept on all children born in Hertfordshire between 1931-39. Participants who were still alive in 1998 were recruited to the HCS and data collected on major chronic diseases. They were subsequently followed up in the Clinical Outcomes Study (COS), and data recorded on all major illnesses since HCS, as well as current medications. Ordinal logistic regression analysed the association between early life factors and the number of morbidities in these two surveys as well as medication count.
Results: 2299 participants had data in COS, 1131 (49%) were female, median age (interquartile range (IQR)) at recruitment to HCS was 66 (64-68) years. Higher rates of childhood illnesses were significantly associated with future multi-morbidity (multivariate odds ratio (95% confidence interval (CI)) 1.15 (1.06, 1.25)) and higher medication counts at COS (multivariate OR (95%CI) 1.14 (1.06, 1.23)).
Humphreys, J.
2c6948ac-ab9b-47f2-94c7-f597ff0b8006
Jameson, Karen
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Cooper, Cyrus
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Dennison, Elaine
ee647287-edb4-4392-8361-e59fd505b1d1
May 2018
Humphreys, J.
2c6948ac-ab9b-47f2-94c7-f597ff0b8006
Jameson, Karen
d5fb142d-06af-456e-9016-17497f94e9f2
Cooper, Cyrus
e05f5612-b493-4273-9b71-9e0ce32bdad6
Dennison, Elaine
ee647287-edb4-4392-8361-e59fd505b1d1
Humphreys, J., Jameson, Karen, Cooper, Cyrus and Dennison, Elaine
(2018)
Early-life predictors of future multi-morbidity: results from the Hertfordshire Cohort.
Age and Ageing.
(doi:10.1093/ageing/afy005).
Abstract
Background: Multi-morbidity is an increasing challenge in western medicine and has the potential to impact patients’ quality of life, treatment options and compliance with medications. The aim of this study was to identify early life predictors of long-term multi-morbidity in an historical cohort, the Hertfordshire Cohort Study (HCS).
Methods: Perinatal and infant health records were kept on all children born in Hertfordshire between 1931-39. Participants who were still alive in 1998 were recruited to the HCS and data collected on major chronic diseases. They were subsequently followed up in the Clinical Outcomes Study (COS), and data recorded on all major illnesses since HCS, as well as current medications. Ordinal logistic regression analysed the association between early life factors and the number of morbidities in these two surveys as well as medication count.
Results: 2299 participants had data in COS, 1131 (49%) were female, median age (interquartile range (IQR)) at recruitment to HCS was 66 (64-68) years. Higher rates of childhood illnesses were significantly associated with future multi-morbidity (multivariate odds ratio (95% confidence interval (CI)) 1.15 (1.06, 1.25)) and higher medication counts at COS (multivariate OR (95%CI) 1.14 (1.06, 1.23)).
Text
Early life final amended
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Accepted/In Press date: 8 January 2018
e-pub ahead of print date: 9 February 2018
Published date: May 2018
Identifiers
Local EPrints ID: 418327
URI: http://eprints.soton.ac.uk/id/eprint/418327
ISSN: 0002-0729
PURE UUID: 548ebfbf-0b5d-4f46-937a-7686dbf0fc31
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Date deposited: 28 Feb 2018 17:30
Last modified: 18 Mar 2024 05:07
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J. Humphreys
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