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Predicting fruit consumption
- Source :
- de Vries, H, Eggers, S M, Lechner, L, van Osch, L & van Stralen, M M 2014, ' Predicting fruit consumption: the role of habits, previous behavior and mediation effects ', BMC Public Health, vol. 14, 730 . https://doi.org/10.1186/1471-2458-14-730, de Vries, H, Eggers, S M, Lechner, L, van Osch, L & van Stralen, M M 2014, ' Predicting fruit consumption : the role of habits, previous behavior and mediation effects ', BMC Public Health, vol. 14, 730 . https://doi.org/10.1186/1471-2458-14-730, BMC Public Health, 14:730. BioMed Central, BMC Public Health, 14:730. BioMed Central Ltd., BMC Public Health, 14:730. BioMed Central Ltd, BMC Public Health
- Publication Year :
- 2014
-
Abstract
- Background: This study assessed the role of habits and previous behavior in predicting fruit consumption as well as their additional predictive contribution besides socio-demographic and motivational factors. In the literature, habits are proposed as a stable construct that needs to be controlled for in longitudinal analyses that predict behavior. The aim of this study is to provide empirical evidence for the inclusion of either previous behavior or habits. Methods. A random sample of 806 Dutch adults (>18 years) was invited by an online survey panel of a private research company to participate in an online study on fruit consumption. A longitudinal design (N = 574) was used with assessments at baseline and after one (T2) and two months (T3). Multivariate linear regression analysis was used to assess the differential value of habit and previous behavior in the prediction of fruit consumption. Results: Eighty percent of habit strength could be explained by habit strength one month earlier, and 64% of fruit consumption could be explained by fruit consumption one month earlier. Regression analyses revealed that the model with motivational constructs explained 41% of the behavioral variance at T2 and 38% at T3. The addition of previous behavior and habit increased the explained variance up to 66% at T2 and to 59% at T3. Inclusion of these factors resulted in non-significant contributions of the motivational constructs. Furthermore, our findings showed that the effect of habit strength on future behavior was to a large extent mediated by previous behavior. Conclusions: Both habit and previous behavior are important as predictors of future behavior, and as educational objectives for behavior change programs. Our results revealed less stability for the constructs over time than expected. Habit strength was to a large extent mediated by previous behavior and our results do not strongly suggest a need for the inclusion of both constructs. Future research needs to assess the conditions that determine direct influences of both previous behavior and habit, since these influences may differ per type of health behavior, per context stability in which the behavior is performed, and per time frame used for predicting future behavior. © 2014 de Vries et al.; licensee BioMed Central Ltd.
- Subjects :
- Male
Gerontology
Mediation (statistics)
PLANNED BEHAVIOR
media_common.quotation_subject
Health Behavior
VEGETABLE CONSUMPTION
EXERCISE
Developmental psychology
SRHI
STRENGTH
Humans
Medicine
Longitudinal Studies
Empirical evidence
Fruit consumption
INDEX
Netherlands
media_common
Consumption (economics)
Motivation
business.industry
Follow up studies
Public Health, Environmental and Occupational Health
Regression analysis
SELF-EFFICACY
Feeding Behavior
SDG 10 - Reduced Inequalities
Middle Aged
Nutrition Surveys
PHYSICAL-ACTIVITY
Fruit
REASONED ACTION
IMPLEMENTATION INTENTIONS
Regression Analysis
Female
Habit
PAST BEHAVIOR
Biostatistics
Previous behavior
business
Construct (philosophy)
Research Article
Follow-Up Studies
Subjects
Details
- Language :
- English
- ISSN :
- 14712458
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- BMC Public Health
- Accession number :
- edsair.doi.dedup.....300a528e45193a53c1209779e86a1749