Mapping health behaviors: Constructing and validating a common-sense taxonomy of health behaviors

Nudelman, Gabriel; Shiloh, Shoshana

doi:10.1016/j.socscimed.2015.10.004

Cited by 40 publications

(39 citation statements)

References 50 publications

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“…These construal assessments would allow researchers to examine whether, as expected, promotion focus predicts only behavior construed (by the individual) as health promoting, whereas prevention focus predicts only behavior construed as disease preventive. Although our research focused on behaviors associated with cancer risk, future research should examine a wider range of health behaviors, informed by recent taxonomies of health behaviors (Nudelman and Shiloh, 2015). …”

Section: Discussionmentioning

confidence: 99%

Developing a scale to assess health regulatory focus

Ferrer

Lipkus

Cerully

et al. 2017

Social Science & Medicine

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Rationale: Regulatory focus (i.e., focus on motivation to achieve gains or avoid losses and non-gains) is used to tailor health behavior change interventions, improving efficacy, but is currently assessed by scales that are not health-specific and may capture a version of the construct that is not ideally matched to the rationale for tailoring. Objective: We developed and validated a Health Regulatory Focus Scale (HRFS), which assesses tendencies to avoid negative health consequences (prevention focus) or achieve positive health outcomes (promotion focus). Methods: Across four studies (and a scale development study in supplementary online materials), we established convergent, discriminant, and predictive validity for the HRFS. In studies examining predictive validity, main outcome measures were health behavior intentions, including intentions to reduce alcohol use, quit smoking, eat a healthy diet, exercise, be screened for cancer, and engage in general cancer preventive behaviors. Results: The promotion and prevention sub-scales performed well in confirmatory factor analyses. Single-factor models had significantly poorer fit than models delineating promotion and prevention. The sub-scales were differentially (and only modestly) correlated with related constructs (anxiety, optimism, information avoidance, ambiguity/fatalism). Higher HRFS-Promotion focus generally corresponded with greater health behavior intentions. Conversely, higher HRFS-Prevention focus corresponded with lower health behavior intentions. Associations were largely maintained even when controlling for established regulatory focus measures, supporting the assertion that the HRFS would predict unique variance in health behavior intentions. Conclusion: The HRFS has the potential to improve the precision with which framed health messages change behavior, as it may assess a version of regulatory focus that is more ideally matched to rationale for tailoring interventions.

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Section: Discussionmentioning

confidence: 99%

Developing a scale to assess health regulatory focus

Ferrer

Lipkus

Cerully

et al. 2017

Social Science & Medicine

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“…Studies have also shown that engaging in one health behaviour can influence engagement in other behaviours through processes such as cognitive transfer of psychological resources across behaviours (Fleig, Kerschreiter, Schwarzer, Pomp, & Lippke, 2014;Fleig, K€ uper, Lippke, Schwarzer, & Wiedemann, 2015). While several efforts have recently been undertaken to examine interrelationships among multiple health behaviours (McEachan, Lawton, & Conner, 2010;Nudelman & Shiloh, 2015;Sniehotta, Presseau, Allan, & Ara ujo-Soares, 2016), studies in this vein have yet to identify core behaviours that are highly connected and thus are likely to be particularly useful targets for interventions. While several efforts have recently been undertaken to examine interrelationships among multiple health behaviours (McEachan, Lawton, & Conner, 2010;Nudelman & Shiloh, 2015;Sniehotta, Presseau, Allan, & Ara ujo-Soares, 2016), studies in this vein have yet to identify core behaviours that are highly connected and thus are likely to be particularly useful targets for interventions.…”

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confidence: 99%

“…Consequently, examining the connectivity between behaviours is a promising approach. While several efforts have recently been undertaken to examine interrelationships among multiple health behaviours (McEachan, Lawton, & Conner, 2010;Nudelman & Shiloh, 2015;Sniehotta, Presseau, Allan, & Ara ujo-Soares, 2016), studies in this vein have yet to identify core behaviours that are highly connected and thus are likely to be particularly useful targets for interventions.…”

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confidence: 99%

The centrality of health behaviours: A network analytic approach

Nudelman

Kalish

Shiloh

2018

British J Health Psychol

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Objectives. Since behavioural risk factors are the foremost causes of disability and premature mortality, developing new perspectives for understanding them is of utmost importance. This paper describes an innovative approach that conceptualizes healthrelated behaviours as nodes in a weighted network. Design & Methods.Using self-reported data from a representative sample (n = 374), a network of 37 health behaviours was analysed, with the aim of identifying 'central' nodes, that is, behaviours that are likely to co-occur with others and potentially influence them.Results. In line with conservation of resources theory, the analysis indicated that behaviours related to basic physiological needs (nutrition and sleep) were most central. Behaviour centrality also varied across subpopulations: Periodic medical examinations, eating meals regularly, and sleep hygiene were more central among high-compared to low-socio-economic status participants; behaviours related to supportive social relationships and sun protection were more central among women compared to men.Conclusion. By emphasizing behavioural connectivity, the approach applied herein has identified core health behaviours with potentially high impact on healthy lifestyle behaviours. Statement of ContributionWhat is already known on this subject?Many health behaviours are related to each other. Engagement in one health behaviour can affect engagement in other behaviours.

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“…Previous studies have examined dimensions or taxonomies for diverse health behaviors (e.g., McEachan, Lawton, & Conner, 2010; Nudelman & Shiloh, 2015), and self-report measures combining items on diet, exercise, smoking, substance use, risk avoidance, information seeking, and use of health care have been developed (e.g., Ingledew & Brunning, 1999; Lauriola, Laicardi, Artistico, & Baldassarri, 2000; Levant, Wimer, & Williams, 2011; Sniehotta, Presseau, Allan, & Araújo-Soares, 2016). One of the most popular of these measures is the Health Behavior Checklist (HBC; Vickers, Conway, & Hervig, 1990), which was designed to measure four theoretically guided dimensions, and has been widely used (e.g., Booth-Kewley & Vickers, 1994; Edmonds, Bogg, & Roberts, 2009; Hagger-Johnson & Whiteman, 2007; Lodi-Smith et al, 2010; Wasylkiw & Fekken, 1999).…”

Section: Introductionmentioning

confidence: 99%

The Health Behavior Checklist: Factor structure in community samples and validity of a revised good health practices scale

2017

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This study examined the factor structure and predictive validity of the commonly used multidimensional Health Behavior Checklist (HBC; Vickers, Conway, & Hervig, 1990). A three-factor structure was found in two community samples that included men and women. The new 16-item Good Health Practices scale and the original Wellness Maintenance scale were the only HBC scales to be related to cardiovascular and metabolic risk factors. While the other HBC scales require further validation, the Good Health Practices scale could be used where more objective or longer measures are not feasible.

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Mapping health behaviors: Constructing and validating a common-sense taxonomy of health behaviors

Cited by 40 publications

References 50 publications

Developing a scale to assess health regulatory focus

Developing a scale to assess health regulatory focus

The centrality of health behaviours: A network analytic approach

The Health Behavior Checklist: Factor structure in community samples and validity of a revised good health practices scale

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