Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA 22908, USA.
US Department of Agriculture, Agricultural Research Service, Stoneville, MS, USA.
Public Health Nutr. 2020 Feb;23(3):554-563. doi: 10.1017/S1368980019003392. Epub 2019 Dec 4.
To describe relationships among baseline characteristics, engagement indicators and outcomes for rural participants enrolled in SIPsmartER, a behavioural intervention targeting sugar-sweetened beverage (SSB) intake.
A secondary data analysis. Bivariate analyses determined relationships among baseline characteristics (e.g. age, gender, race, education, income), engagement indicators (completion of 6-month health screening, class attendance, call completion) and SSB outcomes (SSB ounce reduction (i.e. US fluid ounces; 1 US fl. oz = 29·57 ml), reduced ≥12 ounces, achieved ≤8 ounce intake). Generalized linear models tested for significant effects of baseline characteristics on engagement indicators and of baseline characteristics and engagement indicators on SSB outcomes.
South-west Virginia, USA, a rural, medically underserved region.
Participants' (n 155) mean age was 41 years; most were female (81 %), White (91 %) and earned ≤$US 20 000 per annum (61 %).
All final models were significant. Engagement models predicted 12-17 % of variance, with age being a significant predictor in all three models. SSB outcome models explained 5-70 % of variance. Number of classes attended was a significant predictor of SSB ounce reduction (β = -6·12, P < 0·01). Baseline SSB intake significantly predicted SSB ounce reduction (β = -0·90, P < 0·001) and achieved ≤8 ounce intake (β = 0·98, P < 0·05).
The study identifies several participant baseline characteristics that may impact engagement in and outcomes from a community-based intervention targeting SSB intake. Findings suggest greater attendance of SIPsmartER classes is associated with greater reduction in overall SSB intake; yet engagement variables did not predict other outcomes. Findings will inform the future implementation of SIPsmartER and research studies of similar design and intent.
描述参与 SIPsmartER 的农村参与者的基线特征、参与指标与结局之间的关系，SIPsmartER 是一项针对含糖饮料（SSB）摄入量的行为干预措施。
二次数据分析。采用双变量分析确定基线特征（如年龄、性别、种族、教育程度、收入）、参与指标（完成 6 个月健康筛查、参加课程、完成电话随访）与 SSB 结局（SSB 盎司减少量（即美国液盎司；1 美国液盎司=29.57 毫升）、减少量≥12 盎司、摄入量达到≤8 盎司）之间的关系。采用广义线性模型检验基线特征对参与指标的显著影响，以及基线特征和参与指标对 SSB 结局的显著影响。
美国西南部弗吉尼亚州，一个农村、医疗资源不足的地区。
参与者（n=155）的平均年龄为 41 岁；大多数为女性（81%）、白种人（91%）、年收入≤20000 美元（61%）。
所有最终模型均有统计学意义。参与模型预测了 12-17%的方差，年龄在所有三个模型中均为显著预测因素。SSB 结局模型解释了 5-70%的方差。参加课程的次数是 SSB 盎司减少量的显著预测因素（β=-6.12，P<0.01）。基线 SSB 摄入量显著预测 SSB 盎司减少量（β=-0.90，P<0.001）和达到≤8 盎司摄入量（β=0.98，P<0.05）。
本研究确定了一些可能影响基于社区的 SSB 摄入量干预措施的参与和结局的参与者基线特征。研究结果表明，SIPsmartER 课程的参与度越高，整体 SSB 摄入量的减少量越大；然而，参与变量并未预测其他结局。研究结果将为 SIPsmartER 的未来实施和类似设计及意向的研究提供信息。
