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Title: Factors Associated With Changes in Fruit Intake During Young Adulthood: A Classification and Regression Tree Analysis of Longitudinal Data
Resulting in 1 citation.
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Lohrmann, David K. Jayawardene, Wasantha P. Torabi, Mohammad R. |
Factors Associated With Changes in Fruit Intake During Young Adulthood: A Classification and Regression Tree Analysis of Longitudinal Data Journal of Nutrition Education and Behavior 49,5 (May 2017): 427-434.e1. Also: http://www.sciencedirect.com/science/article/pii/S1499404617300647 Cohort(s): NLSY97 Publisher: Elsevier Keyword(s): Alcohol Use; Nutritional Status/Nutrition/Consumption Behaviors; Smoking (see Cigarette Use); Socioeconomic Factors; Television Viewing Objective: To examine whether distinct participant groupings for changes in fruit intake (FI) levels between ages 23 and 31 years are identifiable based on both time-varying and time-invariant sociodemographic and behavioral variables. Methods: Data were derived from the National Longitudinal Survey of Youth-1997, US. Change in FI frequency constituted the dependent variable. For 21 variables, changes and averages in 2007-2011 were calculated. Classification and regression tree analysis was conducted using Generalized, Unbiased, Interaction Detection, and Estimation software. Results: Analysis isolated 5 variables (changes in smoking, drinking alcohol, and television viewing, plus 5-year mean of income-to-poverty ratio and computer use) and associated cutoff values to identify 7 groups of participants with differing degrees of FI change. Conclusions and Implications: Multiple groupings existed within upper social strata; a majority maintained healthy behaviors whereas some adopted substance use stress-coping mechanisms. Some low-income individuals demonstrated a capacity to adopt healthy behaviors. Dietary interventions could identify behavioral clustering, with emphasis on drinking, smoking, and screen time. |
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Bibliography Citation
Lohrmann, David K., Wasantha P. Jayawardene and Mohammad R. Torabi. "Factors Associated With Changes in Fruit Intake During Young Adulthood: A Classification and Regression Tree Analysis of Longitudinal Data." Journal of Nutrition Education and Behavior 49,5 (May 2017): 427-434.e1.
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