title: 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.
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.
authors.affiliation: Telethon Kids Institute, Centre for Child Health Research, The University of Western Australia, Perth, W.A., Australia.
authors.forename: Wendy H
authors.initials: WH
authors.lastname: Oddy
authors.forename: Grant J
authors.initials: GJ
authors.lastname: Smith
authors.forename: Peter
authors.initials: P
authors.lastname: Jacoby
mesh_terms: D000328:Adult; D001315:Australia; D015982:Bias; D015992:Body Mass Index; D001835:Body Weight; D001942:Breast Feeding; D015331:Cohort Studies; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007223:Infant; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D015999:Multivariate Analysis; D009765:Obesity / Q000453:epidemiology* / Q000517:prevention & control; D050177:Overweight / Q000453:epidemiology* / Q000517:prevention & control; D015995:Prevalence; D012959:Socioeconomic Factors; D055815:Young Adult