Lawlor, Debbie A; Davey Smith, George; Ebrahim, Shah; (2002) Birth weight of offspring and insulin resistance in late adulthood: cross sectional survey. BMJ, 325 (7360). 359-. ISSN 1468-5833 DOI: https://doi.org/10.1136/bmj.325.7360.359
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Abstract
OBJECTIVE: To investigate the association between birth weight of offspring and mothers' insulin resistance in late adulthood. DESIGN: Cross sectional survey. SETTING: General practitioner's surgeries in 23 towns in Great Britain. PARTICIPANTS: 4286 women aged 60-79 years. MAIN OUTCOME MEASURES: Maternal insulin resistance. RESULTS: Birth weight of offspring was inversely related to maternal insulin resistance in late adulthood. For each 1 kg higher birth weight of offspring, women had a 15% reduction in the odds of being in the fourth with highest insulin resistance, compared to other fourths (odds ratio 0.85; 95% confidence interval 0.71 to 1.00). This increased to 27% (0.73; 0.60 to 0.90) after adjusting data for potential confounders. A U shaped relation between birth weight of offspring and diabetes in older age was found; women with the lightest and heaviest offspring had the highest prevalence of diabetes. CONCLUSIONS: Birth weight of offspring is inversely related to the mother's insulin resistance in late adulthood, despite the association of glucose intolerance during pregnancy with heavier offspring at birth. Common genetic factors contribute to the relation between birth weight and risk of cardiovascular disease and diabetes in adults.
Item Type | Article |
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Keywords | Adult, Age Factors, Aged, Birth Weight/*genetics, Body Mass Index, Cross-Sectional Studies, Diabetes Mellitus, Type 2/*genetics, Female, Humans, Insulin Resistance/*genetics, Middle Aged, Odds Ratio, Regression Analysis, Research Support, Non-U.S. Gov't, Adult, Age Factors, Aged, Birth Weight, genetics, Body Mass Index, Cross-Sectional Studies, Diabetes Mellitus, Type 2, genetics, Female, Humans, Insulin Resistance, genetics, Middle Aged, Odds Ratio, Regression Analysis, Research Support, Non-U.S. Gov't |
Faculty and Department | Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology |
Research Centre | Centre for Global Non-Communicable Diseases (NCDs) |
PubMed ID | 12183306 |
ISI | 177626000017 |
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