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A possible strategy for developing a model to account for attrition bias in a longitudinal cohort to investigate associations between exclusive breastfeeding and overweight and obesity at 20 years

Citation

Oddy, WH and Smith, GJ and Jacoby, P, A possible strategy for developing a model to account for attrition bias in a longitudinal cohort to investigate associations between exclusive breastfeeding and overweight and obesity at 20 years, Annals of Nutrition and Metabolism, 65, (2-3) pp. 234-235. ISSN 0250-6807 (2014) [Refereed Article]

DOI: doi:10.1159/000360548

Abstract

Our objective was to develop a method that could be applied in a longitudinal cohort study to account for attrition bias in an investigation of exclusive breastfeeding and prevalence of overweight and obesity at 20 years. Participants were compared to non-participants to identify a priori good candidates to predict missing-ness. A logistic regression missing-ness model was developed where probabilities were calculated to generate a pseudo-population of survivors with similar distribution to the original cohort. Final analysis comprised a weighted logistic regression model for cessation of breastfeeding as predicted by overweight and obesity, adjusting for confounding factors, that incorporated generalised estimating equations as final predictive models. Following weighting and scaling in the generalised estimating equation model, the cessation of exclusive breastfeeding before 6 months, compared to 6 months or later was associated with an increased prevalence of overweight and obesity at 20 years (odds ratio 1.47; 95% confidence interval: 1.12-1.93; p = 0.005). Inverse probability weighting offers a possible solution when attrition threatens to bias the results of a study.

Item Details

Item Type:Refereed Article
Keywords:Attrition bias, Inverse probability weighting, Longitudinal cohort study
Research Division:Medical and Health Sciences
Research Group:Nutrition and Dietetics
Research Field:Clinical and Sports Nutrition
Objective Division:Health
Objective Group:Public Health (excl. Specific Population Health)
Objective Field:Preventive Medicine
Author:Oddy, WH (Professor Wendy Oddy)
ID Code:107440
Year Published:2014
Web of Science® Times Cited:1
Deposited By:Menzies Institute for Medical Research
Deposited On:2016-03-16
Last Modified:2017-11-06
Downloads:0

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