Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL.
Office of Extension and Outreach, University of Illinois at Urbana-Champaign, Urbana, IL.
J Nutr Educ Behav. 2019 Oct;51(9):1080-1087. doi: 10.1016/j.jneb.2019.07.013. Epub 2019 Aug 9.
To identify participant characteristics and study methodology that influenced the completion of a 15-month community-based longitudinal study evaluating the impact of the Supplemental Nutrition Assistance Program Education and Expanded Food and Nutrition Education Program.
Observational longitudinal 15-month study across 12 data collection timepoints. Sociodemographic characteristics were collected with a paper-based survey at baseline.
Five counties across central and southern Illinois.
Women, aged 18 to 65 years (n = 297), recruited at sites likely to serve families eligible for the Supplemental Nutrition Assistance Program Education and Expanded Food and Nutrition Education Program (housing departments, child care centers, etc).
Predictors of participant attrition during the study duration.
Cox proportional hazard models.
Ninety-seven participants were retained across the full study. In unadjusted models, greater income and education levels were significantly related to lower attrition; however, this relationship did not persist in a multivariate model. When adjusted for other characteristics, larger household size was the only measured variable significantly related to greater odds of attrition (odds ratio = 1.09; 95% confidence interval = 1.02, 1.17).
Several characteristics predicting attrition in other settings were not significant in this study. Future attrition analyses that evaluate social support, transportation capacity, and type of phone in longitudinal nutrition education studies are warranted.
确定影响完成一项为期 15 个月的基于社区的纵向研究的参与者特征和研究方法,该研究评估补充营养援助计划教育和扩大食品和营养教育计划的影响。
在 12 个数据收集时间点进行观察性纵向 15 个月研究。社会人口统计学特征在基线时通过纸质调查收集。
伊利诺伊州中部和南部的五个县。
18 至 65 岁的女性(n=297),在可能为符合补充营养援助计划教育和扩大食品和营养教育计划资格的家庭服务的地点(住房部门、儿童保育中心等)招募。
研究期间参与者流失的预测因素。
Cox 比例风险模型。
97 名参与者在整个研究中保留下来。在未调整的模型中,较高的收入和教育水平与较低的失访率显著相关;然而,这种关系在多变量模型中并不存在。当调整其他特征时,较大的家庭规模是唯一与更高失访率显著相关的测量变量(比值比=1.09;95%置信区间=1.02,1.17)。
在这项研究中,其他环境中预测失访的几个特征并不显著。未来的失访分析,评估社会支持、交通能力和纵向营养教育研究中电话类型,是有必要的。