Using the Integrative Model of Behavioral Prediction to Predict Vegetable Subgroup Consumption among College Students
| Autor: | Paul Branscum, Sarah B. Maness, Valerie Senkowski, Daniel J. Larson |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Consumption (economics) 030109 nutrition & dietetics Health (social science) Public Health Environmental and Occupational Health Regression analysis Variance (accounting) Logistic regression 03 medical and health sciences Linear regression Health education Health behavior Psychology Eating habits Social psychology Demography |
| Zdroj: | American Journal of Health Education. 48:240-247 |
| ISSN: | 2168-3751 1932-5037 |
| DOI: | 10.1080/19325037.2017.1316690 |
| Popis: | Background: The United States Department of Agriculture (USDA) currently recommends that young adults consume 2.5–3 cups of vegetables daily, while also providing weekly recommendations for 5 vegetable subgroups: dark green, red and orange, beans and peas, starchy, and other. Purpose: The purpose of this study was to explore theory-based determinants of consumption for 5 USDA vegetable subgroups among college students. Methods: Operationalizing the integrative model of behavioral prediction (IMB), a survey was developed and distributed online to college students (n = 386). Linear regression models were used to predict behavioral intentions of each subgroup with attitudes, perceived norms, and perceived behavioral control (PBC), and logistic regression models predicted whether students met (or did not meet) recommendations, with intentions and PBC. Results: Collectively, IBM constructs accounted for 40.5%–54.6% of the variance of intentions and 14.2%–44.3% of the variance of each subgroup. Discussi... |
| Databáze: | OpenAIRE |
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