ArticleWorkplace health & safety2013
Factors associated with smoking among operating engineers.
Article in Workplace health & safety, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 8 citations in OpenAlex.
- Oral Hygiene Practices and Dentition Status of Public Transport Workers of India- A Cross-sectional Study.Journal of clinical and diagnostic research : JCDR · 2014Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Although disparities in smoking prevalence between white collar workers and blue collar workers have been documented, reasons for these disparities have not been well studied. The objective of this study was to determine variables associated with smoking among Operating Engineers, using the Health Promotion Model as a guide. With cross-sectional data from a convenience sample of 498 Operating Engineers, logistic regression was used to determine personal and health behaviors associated with smoking. Approximately 29% of Operating Engineers currently smoked cigarettes. Multivariate analyses showed that younger age, unmarried, problem drinking, physical inactivity, and a lower body mass index were associated with smoking. Operating Engineers were at high risk of smoking, and smokers were more likely to engage in other risky health behaviors, which supports bundled health behavior interventions.
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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.