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Objective: The aim of this paper is to provide a guideline to a universal understanding of the analysis of co-occurrence of risk behaviors. The use of cluster analysis and factor analysis was clarified., Method: A theoretical introduction to cluster analysis and factor analysis and examples from literature were provided. A representative sample (N=4395) of the Dutch population, aged 16-40 and participating from fall 2005 to spring 2006, was used to illustrate the use of both techniques in assessing the co-occurrence of risk behaviors., Results: Whereas cluster analysis techniques serve to focus on particular clusters of individuals showing the same behavioral pattern, factor analysis techniques are used to assess possible groups of interrelated health-risk behaviors that can be explained by an unknown common source. Choice between the techniques partly depends on the research question and the aim of the research, and has different implications for inferences and policy., Conclusion: By integrating theory and results from an illustrative example, a guideline has been provided that contributes towards a systematic approach in the assessment of co-occurrence of risk behaviors. Following this guideline, a better comparison between outcomes from various studies is expected, leading to improved effectiveness of multiple behavior change interventions., (Copyright © 2014 Elsevier Inc. All rights reserved.)

Objective: Multiple studies have identified clusters of co-occurring health-related behaviours. Little is known, however, about factors associated with such clusters. This study aims to identify these factors and to assess whether their effects are in accordance with the Theory of Triadic Influence (TTI)., Design: A cross-sectional study using a representative sample (N = 3497) of the Dutch population aged 19-40., Main Outcome Measures: Our data concerned 18 health-related behaviours combined in three clusters (Health, Alcohol and Delinquency) and 30 non-behaviour-specific (i.e. ultimate or distal) cultural, social and intrapersonal factors. The three clusters were used as outcomes in regression analyses., Results: Descriptive Norms of Friends and Gender were associated with all three behaviour clusters. Furthermore, Having Parents who Smoke or Consume Alcohol was associated with, respectively, the Health and Alcohol clusters. Self-Control and past Parental Monitoring were associated with the Health and Delinquency clusters. Effect sizes were moderate to large (r²: 0.05 to 0.22)., Conclusion: Factors with a moderate to large association with several behaviour clusters were identified. These factors were located within the social and intrapersonal stream of the TTI, not within the cultural stream.

Objectives: Studies on the co-occurrence, 'clustering' of health and other risk behaviours among immigrants from non-industrialised countries lack until now. The aim of this study was to compare this clustering in immigrant and indigenous adults., Methods: A representative sample (N = 2,982; response 71%) of the Dutch population aged 19-40, with 247 respondents from non-industrialized countries (Turkey, Morocco, Surinam, Netherlands Antilles), was asked about health behaviours (alcohol, smoking, drugs, unsafe sex, exercise, nutrition, sleep behaviour, traffic behaviour), and about rule-breaking behaviour and aggression. Data were collected using internet questionnaires, which excluded respondents unable to read Dutch., Results: Among indigenous adults, health and risk behaviours co-occur in three clusters (alcohol, health-enhancing behaviour, and rule-breaking behaviour), whereas among immigrant groups two clusters were found (alcohol and rule-breaking behaviour/smoking). Differences mostly concerned health-enhancing behaviours such as nutrition, which was not part of any cluster, and physical activity., Conclusions: This supports an integrated promotion of healthier lifestyles to immigrants who are able to read Dutch. Regarding potentially risky behaviours like alcohol use and rule-breaking behaviours, this could be similar to that for indigenous people.

Objective: This study investigates the clustering of a broad range of health-compromising and delinquent behaviors. We examine whether these behaviors belong to a single but broad cluster, 'risk-taking behavior', and whether the nature and degree of clustering in adolescents differs from that in adults., Method: A representative sample (N=4395) of the Dutch population aged 12 to 40 (overall response rate 67%), was asked about various health-compromising behaviors, such as alcohol consumption, smoking, illegal drug use, unsafe sexual behavior, physical inactivity, poor nutrition (such as skipping breakfast and not eating fruit and vegetables), poor sleep behavior, unlawful traffic behavior, and delinquent and aggressive behavior. Data were collected from fall 2005 to spring 2006 using internet questionnaires and face-to-face computer-assisted interviews., Results: No single broad cluster was found. Instead, there were several separate but interrelated clusters. The contents of these clusters differed between age groups. For young adolescents (12-15) two clusters were identified: Alcohol and Delinquency. For older adolescents (16-18) and adults (19-40) three clusters were identified: Alcohol, Delinquency and Health., Conclusion: The findings of this study support a more integrated approach to promoting healthier lifestyles, and suggest that the behavior targets of integrated prevention programs should be different for adolescents and adults.