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Theory and delivery of health programming in the community: The Pawtucket Heart Health Program
Abstract
The Pawtucket Heart Health Program is one of the community studies examining whether population-based efforts to lower cardiovascular risk factors will reduce cardiovascular morbidity and mortality. The Pawtucket Heart Health Program intervention is based on a blend of social learning theory, community organization models, community psychology tenets, and diffusion research. This model allows for multifaceted programs that target individuals, groups, organizations, and the entire community to alter their cardiovascular risk through managing blood pressure, lowering blood cholesterol, quitting smoking, increasing fitness, and maintaining desirable weight levels. A dominant feature of the intervention is the emphasis that it places on volunteers for program delivery. The role of volunteers in providing direct services to help citizens lower their blood pressure and lose weight is highlighted to demonstrate the feasibility and effectiveness of these services. In addition, church-based programming which utilizes volunteers to manage and direct programs is also presented as an example of community-based health promotion efforts that promote collective efficacy.
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“In contrast, similar media and education strategies in the Minnesota Heart Health Program and the Pawtucket Heart Health Program did not lead to significant improvements in cardiovascular risk factors or events when compared with control communities.61–63”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [63]
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“In the latter studies, secular improvements in risk factors were also seen in the control communities, perhaps in response to similar national campaigns targeting these risk factors; these trends may have limited detection of any added effects of the community-level interventions.”
From Population Approaches to Improve Diet, Physical Activity, and Smoking Habits: A Scientific Statement From the American Heart Association (2012) · cites this paper as [63]
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Metadata
- Authors
- Lefebvre, R. C., Lasater, T. M., Carleton, R. A., & Peterson, G.
- Affiliations
- Brown University (US)
- Memorial Hospital of Rhode Island (US)
- Corresponding author
- Lefebvre, R.Craig
- ORCID
- Lefebvre, R.Craig
- Venue
- Preventive Medicine
- Publisher
- Elsevier BV
- Published
- 1987-01
- Volume
- 16
- Issue
- 1
- Pages
- 80-95
- ISSN
- 0091-7435 (ISSN-L)
- OpenAlex
- W2143112522
- Cited by
- 155
- References
- 19
- Citations by year
- 2023: 1 · 2019: 1 · 2018: 2 · 2017: 1 · 2014: 2 · 2012: 2
- FWCI
- 42.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Preventive Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (HL 236901A)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Community Health and Development
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Keywords
- community health promotion, cardiovascular risk reduction, social learning theory, community organizations, community psychology, diffusion of innovations, blood pressure control, cholesterol lowering, smoking cessation, physical fitness, weight loss, collective efficacy, population-level interventions
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Blood Pressure, Body Weight, Child, Christianity, Coronary Disease, Delivery of Health Care, Female, Health Education, Humans, Male, Mass Screening, Middle Aged, Models, Theoretical, Population Surveillance, Religion and Medicine, Rhode Island, Volunteers
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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