Heart Disease and Occupational Risk Factors in the Canadian Population: An Exploratory Study Using the Canadian Community Health Survey

Nowrouzi-Kia, Behdin,Li, Anson K.C.,Nguyen, Christine,Casole, Jennifer Occupational Safety and Health Research Institute 2018 Safety and health at work Vol.9 No.2

Background: The objective of this study is to find temporal trends in the associations between cardiovascular disease and occupational risk factors in the context of the Canadian population. Methods: Population data were analyzed from the Canadian Community Health Survey (CCHS) collected between 2001 and 2014 for trends over time between heart disease and various occupational risk factors: hours worked, physical exertion at work, and occupation type (management/arts/education, business/finance, sales/services, trades/transportations, and primary industry/processing). Results: We found no significant difference in the average number of hours worked/wk between individuals who report having heart disease in all years of data except in 2011 ($F_{1,96}=7.02$, p = 0.009) and 2012 ($F_{1,96}=8.86$, p = 0.004). We also found a significant difference in the degree of physical exertion at work in 2001 ($F_{1,79}=7.45$, p = 0.008). There were statistically significant results of occupation type on self-reported heart disease from 2003 to 2014. Conclusion: Canadian data from the CCHS do not exhibit a trend toward an association between heart disease and the number of hours worked/wk. There is an association between heart disease and physical exertion at work, but the trend is inconsistent. The data indicate a trend toward an association between heart disease and occupation type, but further analysis is required to determine which occupation type may be associated with heart disease.

Heart Disease and Occupational Risk Factors in the Canadian Population: An Exploratory Study Using the Canadian Community Health Survey

Behdin Nowrouzi-Kia,Anson K.C. Li,Christine Nguyen,Jennifer Casole 한국산업안전보건공단 산업안전보건연구원 2018 Safety and health at work Vol.9 No.2

Background: The objective of this study is to find temporal trends in the associations between cardiovascular disease and occupational risk factors in the context of the Canadian population. Methods: Population data were analyzed from the Canadian Community Health Survey (CCHS) collected between 2001 and 2014 for trends over time between heart disease and various occupational risk factors: hours worked, physical exertion at work, and occupation type (management/arts/education, business/finance, sales/services, trades/transportations, and primary industry/processing). Results: We found no significant difference in the average number of hours worked/wk between individuals who report having heart disease in all years of data except in 2011 (F1,96 ¼ 7.02, p ¼ 0.009) and 2012 (F1,96 ¼ 8.86, p ¼ 0.004). We also found a significant difference in the degree of physical exertion at work in 2001 (F1,79 ¼ 7.45, p ¼ 0.008). There were statistically significant results of occupation type on self-reported heart disease from 2003 to 2014. Conclusion: Canadian data from the CCHS do not exhibit a trend toward an association between heart disease and the number of hours worked/wk. There is an association between heart disease and physical exertion at work, but the trend is inconsistent. The data indicate a trend toward an association between heart disease and occupation type, but further analysis is required to determine which occupation type may be associated with heart disease.

Obesity as a Possible Risk Factor for Lost-time Injury in Registered Nurses: A Literature Review

Jordan, Gillian,Nowrouzi-Kia, Behnam,Gohar, Basem,Nowrouzi, Behdin Occupational Safety and Health Research Institute 2015 Safety and health at work Vol.6 No.1

Time-loss injuries are still a major occurrence in Canada, injuring thousands of Canadian workers each year. With obesity rates on the rise across the country, as well as around the world, it is important that the possible effects of obesity in the workplace be fully understood, especially those effects linked to lost-time injuries. The aim of this paper was to evaluate predictors of workplace lost-time injuries and how they may be related to obesity or high body mass index by examining factors associated with lost-time injuries in the health care sector, a well-studied industry with the highest number of reported time loss injuries in Canada. A literature review focusing on lost-time injuries in Registered Nurses (RNs) was conducted using the keywords and terms: lost time injury, workers' compensation, occupational injury, workplace injury, injury, injuries, work, workplace, occupational, nurse, registered nurse, RN, health care, predictors, risk factors, risk, risks, cause, causes, obese, obesity, and body mass index. Data on predictors or factors associated with lost-time injuries in RNs were gathered and organized using Loisel's Work Disability Prevention Management Model and extrapolated upon using existing literature surrounding obesity in the Canadian workplace.

Erratum to "Obesity as a Possible Risk Factor For Lost-Time Injury In Registered Nurses: A Literature Review" [Saf Health Work 6 (1) (2015) 1-8]

Jordan, Gillian,Nowrouzi-Kia, Behnam,Gohar, Basem,Nowrouzi, Behdin Occupational Safety and Health Research Institute 2015 Safety and health at work Vol.6 No.2

Synthesis of Evidence to Support EMS Personnel's Mental Health During Disease Outbreaks: A Scoping Review

Du Bronson B.,Rezvani Sara,Bigelow Philip,Nowrouzi-Kia Behdin,Boscart Veronique M.,Yung Marcus,Yazdani Amin 한국산업안전보건공단 산업안전보건연구원 2022 Safety and health at work Vol.13 No.4

Emergency medical services (EMS) personnel are at high risk for adverse mental health outcomes during disease outbreaks. To support the development of evidence-informed mitigation strategies, we conducted a scoping review to identify the extent of research pertaining to EMS personnel's mental health during disease outbreaks and summarized key factors associated with mental health outcomes. We systematically searched three databases for articles containing keywords within three concepts: EMS personnel, disease outbreaks, and mental health. We screened and retained original peer-reviewed articles that discussed, in English, EMS personnel's mental health during disease outbreaks. Where inferential statistics were reported, the associations between individual and work-related factors and mental health outcomes were synthesized. Twenty-five articles were eligible for data extraction. Our findings suggest that many of the contributing factors for adverse mental health outcomes are related to inadequacies in fulfilling EMS personnel's basic safety and informational needs. In preparation for future disease outbreaks, resources should be prioritized toward ensuring adequate provisions of personal protective equipment and infection prevention and control training. This scoping review serves as a launching pad for further research and intervention development.

Demographic, Lifestyle, and Physical Health Predictors of Sickness Absenteeism in Nursing: A Meta-Analysis

Gohar Basem,Larivière Michel,Lightfoot Nancy,Larivière Céline,Wenghofer Elizabeth,Nowrouzi-kia Behdin 한국산업안전보건공단 산업안전보건연구원 2021 Safety and health at work Vol.12 No.4

Background: Sickness absenteeism is an area of concern in nursing and is more concerning given the recent impacts of the COVID-19 pandemic on healthcare. This study is one of two meta-analyses that examined sickness absenteeism in nursing. In this study, we examined demographic, lifestyle, and physical health predictors. Methods: We reviewed five databases (CINAHL, ProQuest Allied, ProQuest database theses, PsycINFO, and PubMed) for our search. We registered the systematic review (CRD de-identified) and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Additionally, we used the Population/Intervention/Comparison/Outcome Tool to improve our searches. Results: Following quality testing, 17 articles were used for quantitative synthesis. Female employees were at higher risks of sickness absenteeism than their male counterparts (OR = 1.73; 95% CI: 1.33-2.25). Nursing staff who rated their health as poor had a greater likelihood of experiencing sickness absence (OR = 1.38; 95% CI: 1.19-1.60). Also, previous sick leave predicted future leaves (OR = 3.35; 95% CI: 1.37-8.19). Moreover, experiencing musculoskeletal pain (OR = 2.41 95% CI: 1.77-3.27) increased the likelihood of sickness absence with greater odds when it is a back pain (OR = 3.05; 95% CI: 1.66-5.62). Increased age, physical activity, and sleep were not associated with sick leave. Conclusion: Several variables were statistically associated with the occurrence of sickness absenteeism. One primary concern is the limited research in this area despite alarming rates of sick leave in healthcare. More research is required to identify predictors of sickness absence, and thereby, implement preventative measures.