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Health Behavior and Health Education: Theory, Research, and Practice
Abstract
Health behavior change is our greatest hope for reducing the burden of preventable disease and death around the world. Tobacco use, sedentary lifestyle, unhealthy diet, and alcohol use together account for almost one million deaths each year in the United States alone. Smoking prevalence in the United States has dropped by half since the first Surgeon General’s Report on Smoking and Health was published in 1964, but tobacco use still causes over 400,000 premature deaths each year. The World Health Organization has warned that the worldwide spread of the tobacco epidemic could claim one billion lives by the end of this century. The rising prevalence of childhood obesity could place the United States at risk of raising the first generation of children to live sicker and die younger than their parents, and the spreading epidemic of obesity among children and adults threatens staggering global health and economic tolls. The four leading behavioral risks factors and a great many others (for example, nonadherence to prescribed medical screening and prevention and disease management practices, risky sexual practices, drug use, family and gun violence, worksite and motor vehicle injuries) take disproportionate tolls in low-income and disadvantaged racial and ethnic populations, as well as in low-resource communities across the world. Addressing these behavioral risks and disparities, and the behaviors related to global health threats, such as flu pandemics, water shortages, increasingly harmful sun exposure, and the need to protect the health of the planet itself, will be critical to world health in the twenty-first century. In the past two decades since the publication of the first edition of Health Education and Health Behavior: Theory, Research, and Practice in 1990, there has been extraordinary growth in our knowledge about interventions needed to change health behaviors at both individual and population levels. This progress can be measured in the proliferation of science-based recommendations issued by authoritative evidence review panels, including the U.S. Clinical Preventive Services Task Force, the Centers for Disease Prevention and Control Task Force on Community Preventive Services, and the international Cochrane Collaboration. Today, there are evidence-based clinical practice guidelines for most major behavioral health risks, including tobacco use, unhealthy diet, sedentary lifestyle, risky drinking, and diabetes management. And there are parallel research-based guidelines for the health care system changes and policies needed to assure their delivery and use. New community practice guidelines offer additional evidence-based recommendations for a wide array of population-level school-, worksite-, and community-based programs and public policies to improve vaccination rates and physical activity levels for children and adults, improve diabetes self-management, reduce harmful sun exposure, reduce secondhand smoke exposure, prevent youth tobacco use and help adult smokers quit, reduce workplace and motor vehicle injuries, and curb drunk driving and family and gun violence.
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Metadata
- Venue
- Annals of Internal Medicine
- Publisher
- American College of Physicians
- Published
- 1992-02-15
- Volume
- 116
- Issue
- 4
- Pages
- 350-350
- ISSN
- 0003-4819 (ISSN-L)
- 1539-3704
- OpenAlex
- W2090214829
- Cited by
- 13,207
- References
- 0
- FWCI
- 71.62
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.