Health Education &amp Behavior (HEALTH EDUC BEHAV )

Publisher: Society for Public Health Education, SAGE Publications


A useful tool for academics and practitioners alike, Health Education & Behavior brings you coverage of the vital health issues six times a year - That's 816 pages annually of empirical research articles, case studies, programme evaluations, and review articles with potential practice applications of current scholarly research. Regular features include Perspectives, which offers thoughtful insights into complex subjects, and Program Notes, summarizing innovative programs in health education. Through articles, editorials, and special sections, each issue of HEB covers a wealth of information addressing such varied topics as: Theoretical and practical ways to implement change in health and social behaviour, AIDS, cardiovascular risk reduction, cancer, drug abuse, violence, chronic disease management, stress, social support, the environment, diverse populations of all ages and ethnic groups, empowerment, health care reform, cultural factors, ethics, international health, programme settings such as worksites, hospitals, clinics, communities and schools. Health Education & Behavior explores social and behavioural change as it affects health status and quality of life, as well as examining the processes of planning, implementing, managing, and assessing health education and social-behavioural interventions. HEB is a vital resource for practising health educators and researchers, as well as other health professionals and agencies.

  • Impact factor
  • 5-year impact
  • Cited half-life
  • Immediacy index
  • Eigenfactor
  • Article influence
  • Website
    Health Education & Behavior website
  • Other titles
    Health education & behavior, Health education and behavior
  • ISSN
  • OCLC
  • Material type
    Periodical, Internet resource
  • Document type
    Journal / Magazine / Newspaper, Internet Resource

Publisher details

SAGE Publications

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Authors retain copyright
    • Pre-print on any website
    • Author's post-print on author's personal website, departmental website, institutional website or institutional repository
    • On other repositories including PubMed Central after 12 months embargo
    • Publisher copyright and source must be acknowledged
    • Publisher's version/PDF cannot be used
    • Post-print version with changes from referees comments can be used
    • "as published" final version with layout and copy-editing changes cannot be archived but can be used on secure institutional intranet
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Background. The family and home environment is an influential antecedent of childhood obesity. The purpose of this study was to pilot test The Enabling Mothers to Prevent Pediatric Obesity through Web-Based Education and Reciprocal Determinism (EMPOWER) intervention; a newly developed, theory-based, online program for prevention of childhood obesity. Method. The two-arm, parallel group, randomized, participant-blinded trial targeted mothers with children between 4 and 6 years of age. Measures were collected at baseline, 4 weeks, and 8 weeks to evaluate programmatic effects on constructs of social cognitive theory (SCT) and obesity-related behaviors. Process evaluation transpired concurrently with each intervention session. Results. Fifty-seven participants were randomly assigned to receive either experimental EMPOWER (n = 29) or active control Healthy Lifestyles (n = 28) intervention. Significant main effects were identified for child physical activity, sugar-free beverage consumption, and screen time, indicating that both groups improved in these behaviors. A significant group-by-time interaction was detected for child fruit and vegetable (FV) consumption as well as the SCT construct of environment in the EMPOWER cohort. An increase of 1.613 cups of FVs (95% confidence interval = [0.698, 2.529]) was found in the experimental group, relative to the active control group. Change score analysis found changes in the home environment accounted for 31.4% of the change in child FV intake for the experimental group. Conclusions. Child physical activity, sugar-free beverage consumption, and screen time improved in both groups over the course of the trial. Only the theory-based intervention was efficacious in increasing child FV consumption. The EMPOWER program was robust for inducing change in the home environment leading to an increase in child FV intake (Cohen's f = 0.160).
    Health Education &amp Behavior 12/2014;
  • Health Education &amp Behavior 01/2014;
  • Health Education &amp Behavior 01/2014;
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Interorganizational collaboration is an essential function of public health agencies. These partnerships form social networks that involve diverse types of partners and varying levels of interaction. Such collaborations are widely accepted and encouraged, yet very little comparative research exists on how public health partnerships develop and evolve, specifically in terms of how subsequent network structures are linked to outcomes. A systems science approach, that is, one that considers the interdependencies and nested features of networks, provides the appropriate methods to examine the complex nature of these networks. Applying Mays and Scutchfields’s categorization of “structural signatures” (breadth, density, and centralization), this research examines how network structure influences the outcomes of public health collaboratives. Secondary data from the Program to Analyze, Record, and Track Networks to Enhance Relationships ( data set are analyzed. This data set consists of dyadic (N = 12,355), organizational (N = 2,486), and whole network (N = 99) data from public health collaborations around the United States. Network data are used to calculate structural signatures and weighted least squares regression is used to examine how network structures can predict selected intermediary outcomes (resource contributions, overall value and trust rankings, and outcomes) in public health collaboratives. Our findings suggest that network structure may have an influence on collaborative-related outcomes. The structural signature that had the most significant relationship to outcomes was density, with higher density indicating more positive outcomes. Also significant was the finding that more breadth creates new challenges such as difficulty in reaching consensus and creating ties with other members. However, assumptions that these structural components lead to improved outcomes for public health collaboratives may be slightly premature. Implications of these findings for research and practice are discussed.
    Health Education &amp Behavior 10/2013; 40(1 suppl):13S-23S.
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    ABSTRACT: Tuberculosis (TB) is a potentially fatal disease spread by an airborne pathogen infecting approximately one third of the globe. For decades, contact tracing (CT) has served a key role in the control of TB and many other notifiable communicable diseases. Unfortunately, CT is a labor-intensive and time-consuming process and is often conducted by a small and overworked nursing staff. To help improve the effectiveness of CT, we introduce a detailed, individual-based model of CT for the Canadian province of Saskatchewan. The model captures the detailed operation of TB CT, including loss to follow-up, and prophylactic and case treatment. This representation is used to assess the impact on active TB cases and TB infection prevalence of differential scoping, speed, prioritization of the CT process, and reduced loss to follow-up. Scenario results are broadly consistent with—but provide many additional insights beyond—our previously reported findings using an aggregate model. In the context of a stylized northern community, findings suggest that age- and ethnicity-prioritized schemes could improve CT effectiveness compared to unprioritized schemes by dramatically reducing TB infection and preventing on average roughly 11% (p < .0001) of active TB cases over a period of 20 years. Reducing loss to follow-up to 10% could yield 5.4% (p = .02) TB cases prevented on average with lower prevalence of TB infection, but improving the CT speed does not yield significant improvement in TB outcomes. Finally, although the work emphasized the value of social network analysis, we found that caution should be exercised in directly translating social network analysis–observed associations into prioritization recommendations.
    Health Education &amp Behavior 10/2013; 40(1 suppl):98S-110S.
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    ABSTRACT: Adolescent smoking and friendship networks are related in many ways that can amplify smoking prevalence. Understanding and developing interventions within such a complex system requires new analytic approaches. We draw on recent advances in dynamic network modeling to develop a technique that explores the implications of various intervention strategies targeted toward micro-level processes. Our approach begins by estimating a stochastic actor-based model using data from one school in the National Longitudinal Study of Adolescent Health. The model provides estimates of several factors predicting friendship ties and smoking behavior. We then use estimated model parameters to simulate the coevolution of friendship and smoking behavior under potential intervention scenarios. Namely, we manipulate the strength of peer influence on smoking and the popularity of smokers relative to nonsmokers. We measure how these manipulations affect smoking prevalence, smoking initiation, and smoking cessation. Results indicate that both peer influence and smoking-based popularity affect smoking behavior and that their joint effects are nonlinear. This study demonstrates how a simulation-based approach can be used to explore alternative scenarios that may be achievable through intervention efforts and offers new hypotheses about the association between friendship and smoking.
    Health Education &amp Behavior 10/2013; 40(1 suppl):24S-32S.
  • [Show abstract] [Hide abstract]
    ABSTRACT: Objective. To examine gender differences in the association between beliefs in heart disease preventability and 10-year incidence of coronary heart disease (CHD) in a population-based sample. Methods. A total of 2,688 Noninstitutionalized Nova Scotians without prior CHD enrolled in the Nova Scotia Health Study (NSHS95) and were followed for 10 years. Risk factors, health behaviors, and incident CHD were assessed. Participants responded “yes” or “no” to a question about heart disease preventability. Survival models, adjusted for age, income, total and high-density lipoprotein cholesterol, and systolic blood pressure, were used to estimate the relation between health belief and incident CHD. Gender differences in the relation between health beliefs and health behaviors were assessed. Results. Gender was a significant moderator of the relation between belief and CHD incidence; specifically, women who believed heart disease could be prevented were less likely to have incident CHD events compared with women who believed heart disease could not be prevented (hazard ratio [HR] = 0.36, 95% confidence interval [CI] = 0.24-0.55, p < .001). This relation was not found for men. Belief was also related to smoking behavior for women (β = −0.70, odds ratio [OR] = 0.50, 95% CI = 0.33-0.74, p = .001) but not for men. Smoking significantly mediated the relation between health beliefs and incident CHD for women (z = −1.96, p = .05), but not for men. Conclusion. Health belief in prevention and subsequent smoking was an important independent predictor of incident CHD in women but not in men.
    Health Education &amp Behavior 04/2013; 40(2):231-239.