Literature DB >> 16596470

Clustering of health-related behaviors and their determinants: possible consequences for school health interventions.

Carin H Wiefferink1, Louk Peters, Femke Hoekstra, Geert Ten Dam, Goof J Buijs, Theo G W M Paulussen.   

Abstract

Characterizing school health promotion is its category-by-category approach, in which each separate health-related behavior is addressed independently. Such an approach creates a risk that extra-curricular activities become overloaded, and that teaching staff are distracted by continuous innovations. Within the health promotion sector there are thus increasing calls for an integrative approach to health-related behaviors. However, a meaningful integrative approach to different lifestyles will be possible only if there is some clustering of individual health-related behaviors and if health-related behaviors have a minimum number of determinants in common. This systematic review aims to identify to what extent the four health-related behaviors smoking, alcohol abuse, safe sex and healthy nutrition cluster; and how their determinants are associated. Potentially modifiable determinants that offer clues for an integrative approach of school health-promotion programs are identified. Besides, the direction in which health educators should look for a more efficient instructional design is indicated.

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Year:  2006        PMID: 16596470     DOI: 10.1007/s11121-005-0021-2

Source DB:  PubMed          Journal:  Prev Sci        ISSN: 1389-4986


  115 in total

1.  Adolescent peer crowd affiliation: linkages with health-risk behaviors and close friendships.

Authors:  A M La Greca; M J Prinstein; M D Fetter
Journal:  J Pediatr Psychol       Date:  2001 Apr-May

Review 2.  Psychosocial factors related to adolescent smoking: a critical review of the literature.

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Journal:  Tob Control       Date:  1998       Impact factor: 7.552

3.  Externalizing and internalizing problems at school as signs of health-damaging behaviour and incipient marginalization.

Authors:  Eila Laukkanen; Sirpa Shemeikka; Irma-Leena Notkola; Heli Koivumaa-Honkanen; Aulikki Nissinen
Journal:  Health Promot Int       Date:  2002-06       Impact factor: 2.483

4.  The relationship between health beliefs and behaviors and dietary intake in early adolescence.

Authors:  Rei Masu; James F Sallis; Charles C Berry; Shelia L Broyles; John P Elder; Philip R Nader
Journal:  J Am Diet Assoc       Date:  2002-03

Review 5.  Prevention and risk of adolescent substance abuse. The role of adolescents, families, and communities.

Authors:  Cheryl M Kodjo; Jonathan D Klein
Journal:  Pediatr Clin North Am       Date:  2002-04       Impact factor: 3.278

6.  Adolescent risk-taking and the five-factor model of personality.

Authors:  E Gullone; S Moore
Journal:  J Adolesc       Date:  2000-08

Review 7.  An ecological approach to understanding youth smoking trajectories: problems and prospects.

Authors:  Pamela Wilcox
Journal:  Addiction       Date:  2003-05       Impact factor: 6.526

8.  Family dinner and diet quality among older children and adolescents.

Authors:  M W Gillman; S L Rifas-Shiman; A L Frazier; H R Rockett; C A Camargo; A E Field; C S Berkey; G A Colditz
Journal:  Arch Fam Med       Date:  2000-03

9.  Factors influencing children's food choice.

Authors:  Ulla-Kaisa Koivisto Hursti
Journal:  Ann Med       Date:  1999       Impact factor: 4.709

10.  Adolescent food choice criteria: role of weight and dieting status.

Authors:  I R Contento; J L Michela; S S Williams
Journal:  Appetite       Date:  1995-08       Impact factor: 3.868

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  42 in total

1.  Factorial structure of problem behaviors among urban and rural American adolescents.

Authors:  Xiaoming Li; Bonita Stanton; Shuli Yu
Journal:  J Natl Med Assoc       Date:  2007-11       Impact factor: 1.798

2.  Emerging adults' stress and health: the role of parent behaviors and cognitions.

Authors:  Reesa Donnelly; Kimberly Renk; Cliff McKinney
Journal:  Child Psychiatry Hum Dev       Date:  2013-02

3.  Alcohol, marijuana, and tobacco use among Canadian youth: do we need more multi-substance prevention programming?

Authors:  Scott T Leatherdale; Rashid Ahmed
Journal:  J Prim Prev       Date:  2010-06

4.  The Role of Parenting in Alcohol and Tobacco Use Among Latino Adolescents.

Authors:  Joshua H West; Elaine J Blumberg; Norma J Kelley; Linda Hill; Carol L Sipan; Katherine E Schmitz; Bohdan Kolody; Christina D Chambers; Lawrence S Friedman; Melbourne F Hovell
Journal:  J Child Adolesc Subst Abuse       Date:  2013-02-07

Review 5.  Empirically Based Mean Effect Size Distributions for Universal Prevention Programs Targeting School-Aged Youth: A Review of Meta-Analyses.

Authors:  Emily E Tanner-Smith; Joseph A Durlak; Robert A Marx
Journal:  Prev Sci       Date:  2018-11

6.  Externalizing behavior problems are related to substance use in adolescents across six samples from Nordic countries.

Authors:  Mads Uffe Pedersen; Kristine Rømer Thomsen; Ove Heradstveit; Jens Christoffer Skogen; Morten Hesse; Sheila Jones
Journal:  Eur Child Adolesc Psychiatry       Date:  2018-04-04       Impact factor: 4.785

7.  The associations between cigarette smoking and health-related behaviors among Chinese school-aged adolescents.

Authors:  Meng Wang; Hao Wang; Fang-Rong Fei; Chun-Xiao Xu; Xiao-Fu Du; Jie-Ming Zhong
Journal:  Tob Induc Dis       Date:  2017-06-02       Impact factor: 2.600

8.  Factors Associated with Poly Drug Use in Adolescents.

Authors:  Michelle Jongenelis; Simone Pettigrew; David Lawrence; Wavne Rikkers
Journal:  Prev Sci       Date:  2019-07

9.  Effective dual method contraceptive use and HPV vaccination among U.S. adolescent and young adult females.

Authors:  Robin C Vanderpool; Corrine M Williams; Amy R Klawitter; Katherine Eddens
Journal:  Womens Health Issues       Date:  2014 Sep-Oct

Review 10.  Effective elements of school health promotion across behavioral domains: a systematic review of reviews.

Authors:  Louk W H Peters; Gerjo Kok; Geert T M Ten Dam; Goof J Buijs; Theo G W M Paulussen
Journal:  BMC Public Health       Date:  2009-06-12       Impact factor: 3.295

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