Literature DB >> 17904212

Clusters of lifestyle behaviors: results from the Dutch SMILE study.

Hein de Vries1, Jonathan van 't Riet, Mark Spigt, Job Metsemakers, Marjan van den Akker, Jeroen K Vermunt, Stef Kremers.   

Abstract

OBJECTIVE: This study aimed to identify differences and similarities in health behavior clusters for respondents with different educational backgrounds.
METHODS: A total of 9449 respondents from the 2002 wave of the Dutch SMILE cohort study participated. Latent class analyses were used to identify clusters of people based on their adherence to Dutch recommendations for five important preventive health behaviors: non-smoking, alcohol use, fruit consumption, vegetable consumption and physical exercise.
RESULTS: The distribution of these groups of behaviors resulted in three clusters of people: a healthy, an unhealthy and poor nutrition cluster. This pattern was replicated in groups with low, moderate and high educational background. The high educational group scored much better on all health behaviors, whereas the lowest educational group scored the worst on the health behaviors.
CONCLUSION: The same three patterns of health behavior can be found in different educational groups (high, moderate, low). The high educational group scored much better on all health behaviors, whereas the lowest educational group scored the worst on the health behaviors. Tailoring health education messages using a cluster-based approach may be a promising new approach to address multiple behavior change more effectively.

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Year:  2007        PMID: 17904212     DOI: 10.1016/j.ypmed.2007.08.005

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  68 in total

1.  Longitudinal associations between health behaviors and mental health in low-income adults.

Authors:  Jennifer L Walsh; Theresa E Senn; Michael P Carey
Journal:  Transl Behav Med       Date:  2013-03       Impact factor: 3.046

2.  Health behaviours as mediating pathways between socioeconomic position and body mass index.

Authors:  Katja Borodulin; Catherine Zimmer; Risto Sippola; Tomi E Mäkinen; Tiina Laatikainen; Ritva Prättälä
Journal:  Int J Behav Med       Date:  2012-03

Review 3.  Multiple health behavior change research: an introduction and overview.

Authors:  Judith J Prochaska; Bonnie Spring; Claudio R Nigg
Journal:  Prev Med       Date:  2008-02-06       Impact factor: 4.018

4.  Sociodemographic and social contextual predictors of multiple health behavior change: data from the Healthy Directions-Small Business study.

Authors:  Amy E Harley; Amy L Sapp; Yi Li; Miguel Marino; Lisa M Quintiliani; Glorian Sorensen
Journal:  Transl Behav Med       Date:  2013-03       Impact factor: 3.046

5.  Prioritizing multiple health behavior change research topics: expert opinions in behavior change science.

Authors:  Katie Amato; Eunhee Park; Claudio R Nigg
Journal:  Transl Behav Med       Date:  2016-06       Impact factor: 3.046

6.  The covariation of multiple risk factors in primary care: a latent class analysis.

Authors:  Jennifer S Funderburk; Stephen A Maisto; Dawn E Sugarman; Mike Wade
Journal:  J Behav Med       Date:  2008-09-18

7.  Treated individuals who progress to action or maintenance for one behavior are more likely to make similar progress on another behavior: coaction results of a pooled data analysis of three trials.

Authors:  Andrea L Paiva; James O Prochaska; Hui-Qing Yin; Joseph S Rossi; Colleen A Redding; Bryan Blissmer; Mark L Robbins; Wayne F Velicer; Jessica Lipschitz; Nicole Amoyal; Steven F Babbin; Cerissa L Blaney; Marie A Sillice; Anne Fernandez; Heather McGee; Satoshi Horiuchi
Journal:  Prev Med       Date:  2012-03-07       Impact factor: 4.018

8.  Clustering of lifestyle behaviours and relation to body composition in European children. The IDEFICS study.

Authors:  A M Santaliestra-Pasías; T Mouratidou; L Reisch; I Pigeot; W Ahrens; S Mårild; D Molnár; A Siani; S Sieri; M Tornatiris; T Veidebaum; V Verbestel; I De Bourdeaudhuij; L A Moreno
Journal:  Eur J Clin Nutr       Date:  2015-06-03       Impact factor: 4.016

9.  Adherence to cervical cancer screening guidelines for U.S. women aged 25-64: data from the 2005 Health Information National Trends Survey (HINTS).

Authors:  Wendy Nelson; Richard P Moser; Allison Gaffey; William Waldron
Journal:  J Womens Health (Larchmt)       Date:  2009-11       Impact factor: 2.681

10.  Multiple risk-behavior profiles of smokers with serious mental illness and motivation for change.

Authors:  Judith J Prochaska; Sebastien C Fromont; Kevin Delucchi; Kelly C Young-Wolff; Neal L Benowitz; Stephen Hall; Thomas Bonas; Sharon M Hall
Journal:  Health Psychol       Date:  2014-01-27       Impact factor: 4.267

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