Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Feb;23(3):554-563.
doi: 10.1017/S1368980019003392. Epub 2019 Dec 4.

Predictors of engagement and outcome achievement in a behavioural intervention targeting sugar-sweetened beverage intake among rural adults

Affiliations

Predictors of engagement and outcome achievement in a behavioural intervention targeting sugar-sweetened beverage intake among rural adults

Kathleen J Porter et al. Public Health Nutr. 2020 Feb.

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.

Keywords: Beverages; Completion; Health education; Rural communities; Treatment effectiveness.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Distribution of participant engagement across intervention components: (a) distribution of health assessment completion, (b) distribution of class attendance rate and (c) distribution of call completion rates, among rural participants (n 155) from south-west Virginia, USA, enrolled in SIPsmartER, a behavioural intervention targeting sugar-sweetened beverage intake, June 2012–June 2014

Similar articles

Cited by

References

    1. Leung AWY, Chan RSM, Sea MMM et al.. (2017) An overview of factors associated with adherence to lifestyle modification programs for weight management in adults. Int J Environ Res Public Health 14, E922. - PMC - PubMed
    1. Nobles JD, Perez A, Skelton JA et al.. (2018) The engagement pathway: a conceptual framework of engagement-related terms in weight management. Obes Res Clin Pract 12, 133–138. - PubMed
    1. Stoutenberg M, Stanzilis K & Falcon A (2015) Translation of lifestyle modification programs focused on physical activity and dietary habits delivered in community settings. Int J Behav Med 22, 312–327. - PubMed
    1. Moroshko I, Brennan L & O’Brien P (2011) Predictors of dropout in weight loss interventions: a systematic review of the literature. Obes Rev 12, 912–934. - PubMed
    1. Kaiser KA, Affuso O, Desmond R et al.. (2014) Baseline participant characteristics and risk for dropout from ten obesity randomized controlled trials: a pooled analysis of individual level data. Front Nutr 1, 00025. - PMC - PubMed

Publication types