The Experts below are selected from a list of 22476 Experts worldwide ranked by ideXlab platform
Jaeyoung Kim - One of the best experts on this subject based on the ideXlab platform.
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psychological distress and Occupational Injury findings from the national health interview survey 2000 2003
Journal of Preventive Medicine and Public Health, 2008Co-Authors: Jaeyoung KimAbstract:Objectives : This study examined whether serious psychological distress (SPD) is associated with Occupational Injury among US employees. Methods : The employed population aged 18-64 years was examined (n=101,855) using data from the National Health Interview Survey (NHIS) 2000-2003. SPD was measured using the Kessler 6-item Psychological Distress Scale (K-6), a screening scale designed to identify persons with serious mental illness. The predicted marginal prevalence of psychological distress and Occupational Injury with the adjusted odds ratio were estimated using multiple logistic regression analyses. Results : The age-adjusted 3-month prevalence of Occupational Injury was 0.80!0.12% in workers with SPD, which was 37% greater than in workers without SPD (0.58 !0.03%). The odds of Occupational Injury in workers with SPD were higher compared to workers without SPD (OR=1.34, 95% CI=0.93-1.92), after controlling for sex, age, race, education, occupation, and activity limitation by at least one medical condition. Male, service and blue collar occupation, and activity limiation by co-morbidity showed significantly higher odds of Occupational Injury for workers with SPD. Conclusions : The findings suggest that SPD accounts for an increased likelihood of Occupational Injury among US employees. A further longitudinal study is needed to differentiate the mechanism or causal pathways linking individual Injury risk at the workplace, SPD, and socioeconomic factors.
Dana Loomis - One of the best experts on this subject based on the ideXlab platform.
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trends in fatal Occupational injuries and industrial restructuring in north carolina in the 1980s
American Journal of Public Health, 1997Co-Authors: Deborah Richardson, Dana LoomisAbstract:OBJECTIVES: This study examined the relationship between changes in employment in North Carolina in the 1980s and fatal Occupational Injury rates. METHODS: Unintentional fatal Occupational injuries (n = 1989) in North Carolina between 1978 and 1991 were identified via the medical examiner's system. RESULTS: Overall fatal Injury rates declined during the 1980s, but rates increased 9.6% per year among manufacturing industries that declined in employment size; rates fell among service sector and manufacturing industries that grew. CONCLUSIONS: Increasing Occupational fatal Injury rates accompanied the decline in workforce in North Carolina's traditional, labor-intensive manufacturing industries during the 1980s, while service sector and expanding manufacturing industries have experienced declining fatal Injury rates.
Kuan-han Lin - One of the best experts on this subject based on the ideXlab platform.
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0169 the effect of psychological symptom within 1 year after Occupational Injury on long term self perceived health status
Occupational and Environmental Medicine, 2017Co-Authors: Weishan Chin, Kuan-han Lin, Shih-cheng Liao, Judith Shu-chu Shiao, Yueliang Leon Guo, Chihchieh ChenAbstract:Background Certain proportion of workers developed psychological symptoms within 1 year after Occupational Injury. Mental health is associated with overall health status. However, few studies examined the effect of psychological symptoms after Occupational Injury on long-term health status. This study aims to determine the impact of psychological symptoms within 1 year after Occupational Injury on health status six years later. Method 2308 workers who sustained an Occupational Injury in 2009 and responded to a survey at 3 or 12 months after their Injury were followed up in 2015. At 6 years after the Injury, they were invited to participate in a questionnaire survey, which included return-to-work condition and self-rated health status.Population attributable risks (PARs) were estimated to assess the effect of psychological symptom on self-rated poor health. Results A total of 570 workers (33.5%) completed the questionnaire. Injured workers who had adverse life event within follow-up period, had family member requiring care, did not return-to-work within 1 year after the Injury, had severe psychological symptom within 1 year after the Injury, and whose physical appearance was severely affected had a higher risk of self-rated poor health. Adverse life event within follow-up period was most important factor, accounting for 34.3% of self-perceived poor health, followed by severe psychological symptom within 1 year after the Injury (15.0%), and severely affected physical appearance (11.7%). Conclusion Injury severity and severe psychological symptoms after Occupational Injury were risk factors for poor health status. Interventions addressing these factors are warranted to reduce psychological ailments after Occupational Injury.
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Long-Term Psychological Outcome of Workers After Occupational Injury: Prevalence and Risk Factors
Journal of Occupational Rehabilitation, 2014Co-Authors: Kuan-han Lin, Nai-wen Guo, Chun-ya Kuo, Pei-yi Hu, Jin-huei Hsu, Yaw-huei Hwang, Shih-cheng Liao, Judith Shu-chu Shiao, Yue Leon GuoAbstract:Introduction This study aimed to examine the prevalence rates of both post-traumatic stress disorder (PTSD) and major depression at 12 months in workers experiencing different types of Occupational Injury in Taiwan. Demographic and Injury-related risk factors for psychological symptoms were also evaluated. Methods Our study candidates were injured workers in Taiwan who were hospitalized for 3 days or longer and received hospitalization benefits from the Labor Insurance program. A two-staged survey study was conducted. A self-reported questionnaire including the Brief Symptom Rating Scale and Post-traumatic Symptom Checklist was sent to workers at 12 months after Injury. Those who met the criteria were recruited for the second-stage phone interview with a psychiatrist using the Mini-international Neuropsychiatric Interview (MINI). Results A total of 1,233 workers completed the questionnaire (response rate 28.0 %). Among them, 167 (13.5 %) fulfilled the criteria for the MINI interview and were invited. A total of 106 (63.5 %) completed the phone interview. The estimated rate of either PTSD/PPTSD or major depression was 5.2 %. The risk factors for psychological symptoms were female gender, lower education level, loss of consciousness after Occupational Injury, Injury affecting physical appearance, Occupational Injury experience before this event, life experience before and after this Injury, length of hospital stay, self-rated Injury severity, and percentage of income to the family. Conclusions These results showed that Occupational Injury can cause long-term psychological impact in workers. Key demographic and Injury characteristics may enhance the identification of at-risk Occupational injured workers who would benefit from targeted screening and early intervention efforts.
Meaza Gezu - One of the best experts on this subject based on the ideXlab platform.
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nonfatal Occupational injuries among workers in microscale and small scale woodworking enterprise in addis ababa ethiopia
Journal of Environmental and Public Health, 2020Co-Authors: Hailemichael Mulugeta, Yifokire Tefera, Meaza GezuAbstract:Background. Microscale and small-scale industries have been widely expanded in low-income countries, including Ethiopia, as a job opportunity for young workers, which makes workers vulnerable to Injury. Woodworking is one of the high-risk jobs in this sector due to the use of hazardous tools and machineries. Therefore, the aim of this study was to estimate the prevalence of Injury and associated contributing factors of this sector. Methods. A cross-sectional study design was conducted among 634 workers selected from 194 microscale and small-scale woodworking enterprises in Addis Ababa. Data were collected using a structured interview questionnaire and observation checklist from February to March 2016. Occupational injuries were documented according to the ILO operational definition. Descriptive statistics and multivariable analyses were used to characterize the data and to identify the factors associated with Injury at a value <0.05, respectively. Result. A total of 625 (98.6%) workers were interviewed. The prevalence of Occupational Injury was 92 (14.7%) in the past 12 months. Workers with khat chewing behavior (AOR: 2.25, 95% CI (1.04, 4.85)), job dissatisfaction (AOR: 2.89, 95% CI (1.75, 4.76)), work-related stress (AOR: 4.79, 95% CI (1.69–13.58)), job categories (AOR: 3.52, 95% CI (1.08, 11.41)) and workplace characteristics such as unguarded machines (AOR: 3.32 (1.21, 9.11)), and inadequate work space (AOR: 3.85 (1.14, 13.04)) were significantly associated with Occupational Injury. Conclusion. The prevalence of nonfatal Occupational injuries among workers in this study was substantially high. Workers’ behavior, psychosocial issues, and work-related characteristics played a causal role in the occurrence of Occupational Injury. Therefore, workers' safety protection and behavioral intervention should be initiated.
Takele Tadesse - One of the best experts on this subject based on the ideXlab platform.
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determinants of Occupational Injury a case control study among textile factory workers in amhara regional state ethiopia
Journal of Tropical Medicine, 2011Co-Authors: Zewdie Aderaw, Dagnew Engdaw, Takele TadesseAbstract:Background. Occupational injuries pose major public health and socioeconomic developmental problems. However, efforts towards investigation of determinants among factory workers are very minimal in developing countries. Thus, this study aimed at to identify determinants of Occupational Injury among textile factory workers in Amahara regional state in Ethiopia. Methods. A case control study was done among 456 textile factory workers (152 cases and 304 controls). Self-reported data from workers and document review from factories clinics were used to ascertain Occupational Injury status within one-year period. Data was collected using pretested and structured questionnaire by trained data collectors. Odds ratio with 95% confidence interval was used to assess level significance. Results. Young age (<30 years) (AOR 1.90, 95% CI (1.22, 2.94)), male gender (AOR 2.54, 95% CI (1.58, 4.07)), health and safety training (AOR 1.85, 95% CI (1.17, 2.91)), sleeping disturbance (AOR 1.99, 95% CI (1.30, 3.04)), and job stress (AOR 2.25, 95% CI (1.15, 4.41)) were significant predictors of occupation Injury. Conclusion. Lack of training, sleeping disturbance, and job stress increased the risk of Occupational Injury. So, providing basic health and safety training with special emphasis on younger and male workers, reducing stressors, and providing sleep health education were recommended.
