1. Predictors of engagement and outcome achievement in a behavioural intervention targeting sugar-sweetened beverage intake among rural adults
- Author
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Jamie M. Zoellner, Kathleen J. Porter, Jessica L. Thomson, and Human Nutrition, Foods, and Exercise
- Subjects
Adult ,Male ,Rural Population ,medicine.medical_specialty ,Medicine (miscellaneous) ,030209 endocrinology & metabolism ,Completion ,Body Mass Index ,Beverages ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Behavior Therapy ,Dietary Sucrose ,Humans ,Medicine ,030212 general & internal medicine ,Sugar-Sweetened Beverages ,Nutrition and Dietetics ,business.industry ,Treatment effectiveness ,Public Health, Environmental and Occupational Health ,Behavioural intervention ,Feeding Behavior ,Middle Aged ,Rural communities ,Health education ,Sweetening Agents ,Family medicine ,Female ,Energy Intake ,business ,Research Paper - Abstract
Objective: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.Design: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.Setting:South-west Virginia, USA, a rural, medically underserved region.Participants:Participants’ (n 155) mean age was 41 years; most were female (81 %), White (91 %) and earned ≤$US 20 000 per annum (61 %).Results: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).Conclusions: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.
- Published
- 2019