Coaction Between Physical Activity and Fruit and Vegetable Intake in Racially Diverse, Obese Adults

Author:

Heredia Natalia I.1ORCID,Fernandez Maria E.23,van den Berg Alexandra E.4,Durand Casey P.24,Kohl Harold W.456,Reininger Belinda M.7,Hwang Kevin O.8,McNeill Lorna H.1

Affiliation:

1. Department of Health Disparities Research, The University of Texas MD Anderson Cancer Center, 1400 Pressler, Suite FCT9.6073, Houston, TX 77030, USA

2. Department of Health Promotion and Behavioral Sciences, The University of Texas Health Science Center at Houston (UTHealth), School of Public Health, Houston, TX, USA

3. Center for Health Promotion and Prevention Research, UTHealth School of Public Health, Houston, TX, USA

4. Michael & Susan Dell Center for Healthy Living, UTHealth School of Public Health, Austin, TX, USA

5. Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, TX, USA

6. Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, USA

7. Department of Health Promotion and Behavioral Sciences, UTHealth School of Public Health in Brownsville, Brownsville, TX, USA

8. McGovern Medical School at UTHealth, Houston, TX, USA

Abstract

Purpose: There is minimal understanding of the potential for coaction, defined as action on one behavior increasing the likelihood of taking action on another behavior, between physical activity (PA) and fruit and vegetable (FV) intake. The purpose of this study was to assess the bidirectional coaction between FV intake and PA, as well as self-efficacy for these behaviors, in a racially diverse sample of obese adults. Design: This is a secondary analysis using data collected from the Path to Health study, a randomized controlled trial. ClinicalTrials.gov Identifier: NCT03674229. Sample: Obese adults who completed baseline and 6-month follow-up assessments. Measures: For this study, data on FV intake, leisure time PA, and 7-day accelerometer data were analyzed at baseline and 6-month follow-up. Analysis: We interchanged modeling the FV intake and PA change variables as the independent and dependent variables. We conducted multiple imputation and both linear and multinomial regression. Results: The sample (n = 168) was 59% female and mainly split between white (42%) and African American (42%). Change in self-efficacy for PA was predictive of change in self-efficacy for FV intake and vice versa. When compared with participants with no change in FV intake, someone with a positive change in FV intake was more likely to have a positive change in self-reported PA (adjusted risk ratio [RR] = 6.72, 95% confidence interval [CI] = 1.69-26.68). Likewise, when compared with no change, participants with a positive change in self-reported PA were more likely to report a positive change in FV intake (adjusted RR = 6.79, 95% CI = 1.70-27.17). Conclusion: Findings suggest coaction between self-efficacy for FV intake and PA as well as between FV intake and PA. Coaction could be capitalized on to more effectively promote both energy-balance behaviors.

Funder

Duncan Family Institute for Cancer Prevention and Risk Assessment

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health,Health(social science)

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