Do Participants With Different Patterns of Loss to Follow-Up Have Different Characteristics? A Multi-Wave Longitudinal Study.
Do Participants With Different Patterns of Loss to Follow-Up Have Different Characteristics? A Multi-Wave Longitudinal Study.
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DOI：
10.2188/jea.je20150015
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发表时间：
2016
影响因子：
4.7
通讯作者：
Williams G
中科院分区：
文献类型：
--
作者：
Saiepour N;Ware R;Najman J;Baker P;Clavarino A;Williams G
确定随访损失模式和每种模式的基线预测因子。马特大学妊娠研究收集了1981年至1983年在澳大利亚布里斯班马特医院就诊的7718名孕妇的基线信息。6753名符合条件的参与者在分娩后6个月、5年、14年、21年和27年随访数据。参与者被分为“总是回应者”、“回归者”、“离开者”、“间歇者”和“从不回应者”四组。使用多项逻辑回归同时比较最后四组与“总是应答者”的基线特征。年轻、受教育程度较低、没有伴侣、住在租来的房子里，这些都与“回归者”有关。没有住房、领取福利、年轻、受教育程度低、未婚、吸烟、土著/岛民、出生在非英语国家的人与“离开者”、“间歇者”或“从不回应者”有关。心理健康得分较高和怀孕前饮酒与“离职者”或“间歇者”有关。失业和不运动与“离职者”或“从不回复者”有关。“离开组”和“从不回应组”与“总是回应组”的差异最大。与“总是回应者”最相似的群体是“回归者”。在应用缺失数据技术时，应考虑到随访损失的模式，研究人员对那些对评估缺失数据类型没有反应的受试者的特征做出假设。这些信息可以用来防止那些高风险的人退出研究。
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 ‘Never Responder’. The groups ‘Leavers’ and ‘Never Responders’ were the most different from the ‘Always Responders’. The group that was most similar to ‘Always Responders’ was the ‘Returners’. Patterns of loss to follow-up should be considered in the application of missing data techniques, where researchers make assumptions about the characteristics of those subjects who do not respond to assess the type of missing data. This information can be used to prevent individuals who are at high risk of dropping out of a study from doing so.