Do Participants With Different Patterns of Loss to Follow-Up Have Different Characteristics? A Multi-Wave Longitudinal Study

Journal of Epidemiology
Nargess SaiepourGail M Williams

Abstract

To identify patterns of loss to follow-up and baseline predictors of each pattern. The Mater-University Study of Pregnancy collected baseline information for 7718 pregnant women who attended Mater Hospital in Brisbane, Australia, from 1981 through 1983. Follow-up data for 6753 eligible participants were collected at 6 months, 5 years, 14 years, 21 years, and 27 years after giving birth. Participants were partitioned into groups of 'Always Responders', 'Returners', 'Leavers', 'Intermittents', and 'Never Responders'. Multinomial logistic regression was used to simultaneously compare baseline characteristics of the last four groups with 'Always Responders'. Being younger, less educated, having no partner, and living in rented housing were associated with being a 'Returner'. Not owning housing, receiving welfare benefits, and being younger, less educated, not married, a smoker, an Aboriginal/Islander, and born in a non-English-speaking country were associated with being a 'Leaver', an 'Intermittent', or a 'Never-responder'. Having higher mental health score and drinking before pregnancy were associated with being a 'Leaver' or an 'Intermittent'. Being unemployed and not physically active were associated with being a 'Leaver' or 'Ne...Continue Reading

References

May 1, 1992·American Journal of Epidemiology·W W EatonA Dryman
Jun 14, 2005·International Journal of Epidemiology·J M NajmanG Shuttlewood
Feb 13, 2010·Annals of Epidemiology·Jennifer Powers, Deborah Loxton
Dec 19, 2014·International Journal of Epidemiology·Jake M NajmanNaomi Wray

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Citations

Jan 19, 2018·American Journal of Epidemiology·Mette BliddalEllen A Nohr
Nov 28, 2018·BMC Medical Research Methodology·Samantha TeagueUNKNOWN SEED Lifecourse Sciences Theme
Apr 28, 2021·Journal of Critical Care·Erin F CarltonUNKNOWN NHLBI Prevention and Early Treatment of Acute Lung Injury (PETAL) Network
Jun 17, 2021·Applied Clinical Informatics·Michael ReicholdHans-Ulrich Prokosch

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