ReviewAmerican journal of lifestyle medicine
Using Behavioral Theory to Enhance Occupational Safety and Health: Applications to Health Care Workers.
Review in American journal of lifestyle medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Perceived Work-Related Health Effects and Associated Factors Among Grinding Workers in Sagamu, Nigeria: A Cross-Sectional Study.Environmental health insights · 2026Article
- Assessing Zoonotic Disease Exposure and Occupational Health and Safety Practices Among Veterinary Services Fieldworkers in North West Province, South Africa.International journal of environmental research and public health · 2025Article
- Occupational Health Hazards and Control Measures in Government Hospitals: A Cross-Sectional Survey of Nurses' and Nurse Managers' Perspectives.Journal of nursing management · 2025Article
- Co-occurrence of occupational outcomes and associated factors among hospitals cleaners, eastern ethiopia: a cross sectional study.BMC public health · 2024Article
- Voice as a Working Tool for Teachers: A Qualitative Study of Work-Related Perceptions and Impact.Journal of voice : official journal of the Voice Foundation · 2024Article
- Article
- Precision prevention in occupational health: a conceptual analysis and development of a unified understanding and an integrative framework.Frontiers in public health · 2024Article
- Understanding Solid Waste Collectors' Awareness of Occupational Hazards and Personal Protective Equipment Practices in Northern Malawi.Environmental health insights · 2024Article
- Knowledge, Attitude, Behavior Practices and Compliance of Workers Exposed to Respirable Dust in a Zambian Copper Mine.International journal of environmental research and public health · 2023Article
- Depressive symptoms among Thai male seafarers during the COVID-19 pandemic: a cross-sectional study.BMC public health · 2023Article
- Psychological Help-Seeking Among College Students: Applying the Multi-Theory Model of Health Behavior Change in Assessing Telehealth Use for Psychological Help-Seeking.American journal of lifestyle medicineArticle
- BASE: Pragmatic Injury Prevention for Practitioners.American journal of lifestyle medicineReview
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Work-related morbidity and mortality are persistent public health problems across all US industrial sectors, including health care. People employed in health care and social services are at high risk for experiencing injuries and illnesses related to their work. Social and behavioral science theories can be useful tools for designing interventions to prevent workplace injuries and illnesses and can provide a roadmap for investigating the multilevel factors that may hinder or promote worker safety and health. Specifically, individual-level behavioral change theories can be useful in evaluating the proximal, person-related antecedents (such as perceived behavioral control) that influence work safety outcomes. This article (1) provides a brief overview of widely used, individual-level behavior change theories and examples of their application to occupational safety and health (OSH)-related interventions that involve the health care community; (2) introduces an integrated theory of behavior change and its application to promoting the OSH of health care workers; and (3) discusses opportunities for application of individual-level behavior change theory to OSH research and practice activities involving health care workers. The use of behavioral science to consider the role of individual behaviors in promoting health and preventing disease and injury provides a necessary complement to structural approaches to protecting workers in the health care industry.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.