Taren Swindle

Dr. Taren Swindle


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2014 in Journal of Nutrition Education and Behavior
Verified
Journal Article
Closed access
TSTaren Swindle
Taren Swindle
WWWendy L. Ward
Wendy L. Ward
LWLeanne Whiteside-Mansell
Leanne Whiteside-Mansell
PBPatti Bokony
Patti Bokony
DPDawn Pettit
Dawn Pettit


11 January 2022 in Journal of Medical Internet Research
Verified
Journal Article
Open access
TSTaren Swindle
Taren Swindle
APAnwesh B Poosala
Anwesh B Poosala
NZNan Zeng
Nan Zeng
Elisabet BørsheimElisabet Børsheim
Elisabet Børsheim
AAAline Andres
Aline Andres
LBLaura Bellows
Laura Bellows
Background: Digital interventions are increasingly used to improve health behaviors. Improved access and lower costs (relative to in-person interventions) make such interventions appealing. Specifically, digital platforms may be a promising approach for increasing physical activity (PA) in young children. Objective: The goal of this systematic review was three-pronged: (1) to determine the quality of studies using digital PA intervention strategies with preschool-aged children (ie, 3 to 5 years old); (2) to assess the efficacy of digital interventions and approaches designed to improve PA in preschool-aged children; and (3) to examine theoretical application and implementation outcomes with current approaches to digital PA interventions. Methods: This review identified and summarized studies on digitally supported interventions for promoting PA in preschool-aged children. We generated 3 lists of relevant search terms that included technology-related terms, PA-related terms, and weight-related terms. The search included Ovid MEDLINE(R) and Epub Ahead of Print, In-Process & Other Non-Indexed Citations, and Daily, Ovid EMBASE, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, and Scopus. Study selection was led by a single author and verified by a second; the same 2 authors assessed study quality using a standardized tool, and 3 authors completed data extraction on PA outcomes, theory application, and implementation outcomes. Results: In total, 601 studies were identified; 8 met the inclusion criteria. For study quality, only 2 studies received an overall rating of strong quality and low risk of bias. All but 1 study had a small sample size (<100). Positive and significant changes in child PA outcomes were reported in only 2 studies with weak overall quality, both of which used child-directed approaches. In total, 5 studies applied a behavioral theory for designing the intervention; no patterns of effectiveness were identified based on the application of theory. Finally, no studies reported on the implementation outcomes of adoption, cost, penetration, or sustainability; 1 study did not assess any implementation outcomes, and no single study reported on more than 2 implementation outcomes. Studies measured the implementation outcome of acceptability most frequently (n=4), and researchers assessed fidelity in 3 studies. Conclusions: The interventions with a significant effect on PA used child-centered activities; parent-directed digital interventions alone were ineffective for improving PA. Future research with rigorous designs, monitoring of implementation outcomes, and testing of the contributions of digital components will advance understanding of the effectiveness of digital interventions for increasing PA in children.

29 August 2018 in Archives of Public Health
Verified
Journal Article
Open access
PDF file
TSTaren Swindle
Taren Swindle
JSJames P. Selig
James P. Selig
JRJulie M. Rutledge
Julie M. Rutledge
LWLeanne Whiteside-Mansell
Leanne Whiteside-Mansell
GCGeoff Curran
Geoff Curran
Researchers face many decisions in developing a measurement tool and protocol for monitoring fidelity to complex interventions. The current study uses data evaluating a nutrition education intervention, Together, We Inspire Smart Eating (WISE), in a preschool setting to explore issues of source, timing, and frequency of fidelity monitoring. The overall study from which these data are drawn was a pre/post design with an implementation-focused process evaluation. Between 2013 and 2016, researchers monitored fidelity to evidence-based components of the WISE intervention in 49 classrooms in two Southern states. Data collectors obtained direct assessment of fidelity on a monthly basis in study classrooms. Research staff requested that educators provide indirect assessment on a weekly basis. We used mean comparisons (t-tests), correlations (Pearson’s r), and scatterplots to compare the direct and indirect assessments. No mean comparisons were statistically different. Correlations of direct and indirect assessments of the same component for the same month ranged between − 0.51 (p = 0.01) and 0.54 (p = 0.001). Scatterplots illustrate that negative correlations can be driven by individuals who are over reporting (i.e., self-report bias) and that near zero correlations approximate the ideal situation (i.e., both raters identify high fidelity). Our findings illustrate that, on average, observed and self-reports may seem consistent despite weak correlations and individual cases of extreme over reporting by those implementing the intervention. The nature of the component to which fidelity is being monitored as well as the timing within the context of the intervention are important factors to consider when selecting the type of assessment and frequency of fidelity monitoring. NCT03075085 Registered 20 February 2017. Trial registration corresponds to the funding that supported the writing of this manuscript, not the data collection. The original study was not a trial and was collected without registration. However, the data reported here provided foundational preliminary data for the trial.

18 July 2017 in Implementation Science
Verified
Journal Article
Open access
PDF file
TSTaren Swindle
Taren Swindle
SJSusan Johnson
Susan Johnson
LWLeanne Whiteside-Mansell
Leanne Whiteside-Mansell
GCGeoffrey M. Curran
Geoffrey M. Curran
Despite the potential to reach at-risk children in childcare, there is a significant gap between current practices and evidence-based obesity prevention in this setting. There are few investigations of the impact of implementation strategies on the uptake of evidence-based practices (EBPs) for obesity prevention and nutrition promotion. This study protocol describes a three-phase approach to developing and testing implementation strategies to support uptake of EBPs for obesity prevention practices in childcare (i.e., key components of the WISE intervention). Informed by the i-PARIHS framework, we will use a stakeholder-driven evidence-based quality improvement (EBQI) process to apply information gathered in qualitative interviews on barriers and facilitators to practice to inform the design of implementation strategies. Then, a Hybrid Type III cluster randomized trial will compare a basic implementation strategy (i.e., intervention as usual) with an enhanced implementation strategy informed by stakeholders. All Head Start centers (N = 12) within one agency in an urban area in a southern state in the USA will be randomized to receive the basic or enhanced implementation with approximately 20 classrooms per group (40 educators, 400 children per group). The educators involved in the study, the data collectors, and the biostastician will be blinded to the study condition. The basic and enhanced implementation strategies will be compared on outcomes specified by the RE-AIM model (e.g., Reach to families, Effectiveness of impact on child diet and health indicators, Adoption commitment of agency, Implementation fidelity and acceptability, and Maintenance after 6 months). Principles of formative evaluation will be used throughout the hybrid trial. This study will test a stakeholder-driven approach to improve implementation, fidelity, and maintenance of EBPs for obesity prevention in childcare. Further, this study provides an example of a systematic process to develop and test a tailored, enhanced implementation strategy. ClinicalTrials.gov, NCT03075085

12 December 2016 in Journal of Hunger & Environmental Nutrition
Verified
Journal Article
Closed access
TSTaren Swindle
Taren Swindle
WWWendy Ward
Wendy Ward
PBPatti Bokony
Patti Bokony
LWLeanne Whiteside-Mansell
Leanne Whiteside-Mansell
In this cross-sectional study, early childhood educators (ECEs; N = 307) completed an 18-item survey regarding their role (lead vs. assistant), education level, program type, and current and childhood food insecurity (FI) and dietary intake. ECEs in this study reported poor dietary quality and a high rate of FI. Approximately one quarter of ECEs ate fruits and vegetables more than once per day. Of participating ECEs, 34.5% indicated current FI and 28.7% reported experiencing FI in childhood. Differences in prevalence of current FI were found for ECE role, program type, and education (all p ≤ 0.03). Regression models with childhood dietary intake, childhood FI, education, and program type as predictors accounted for a significant portion of variance in current dietary outcomes. In both models, childhood dietary intake was uniquely predictive (p < 0.001) although program type was not. Future training and education efforts for ECEs should consider including specific resources to assess and reduce ECE FI and provide practical support for healthy eating on a budget. Additional research is needed to determine the impact of ECE FI on a variety of educator and child outcomes.