Study Design: This was a cross-sectional study.
Methods: To conduct this study, 700 primary data were collected from respondents who were involved in RTA by interviewing in medical college hospitals and several private clinics of Dhaka, Rajshahi, and Khulna division in Bangladesh. For the achievement of the objective, the Chi-square test, Cramer's V correlation, and the logistic regression model have been applied in this study.
Results: Traffic rules violation was identified as the second-most important reason behind RTA. Respondent's age, gender, residence, education, occupation, awareness about RTA, etc., were significantly associated with having knowledge and awareness about traffic rules. The result of multivariate analysis showed that respondent's age (<30: odds ratio [OR] = 2.019, confidence interval [CI]: 1.377-2.960); residence (rural: OR = 0.288, CI: 0.193-0.431); education (literate: OR = 5.064, CI: 3.332-7.698); and categories of victims (driver: OR = 2.731, CI: 1.676-4.450 and passenger: 1.869, CI: 1.198-2.916) were the vital predictors of having knowledge and awareness about traffic rules.
Conclusions: By imposing strict traffic act, increasing public awareness through various types of education and awareness/outreach about traffic rules-related program, especially in rural areas, by strictly prohibiting the license giving to unskilled drivers or unfit vehicles, RTA can be minimized.
Objective: The objective of this study was to assess various aspects pertaining to disaster management among various health-care students in India.
Methods: Final-year students pursuing medicine, dentistry, nursing, physiotherapy, pharmacy, Ayurveda, and homeopathy at various institutions in Mangalore, India, were the study participants. Participants' willingness to partake in disaster management and knowledge, attitude, behavior, and perceived effectiveness pertaining to disaster management was ascertained by a questionnaire method. Their previous history of training and familiarity with standard operating procedures was assessed.
Results: A total of 437 students belonging to seven health-care institutions participated in the study. Overall, 98.40% of the participants were willing to partake in disaster management. The mean knowledge, attitude, behavior, and perceived effectiveness scores were 49.19%, 81.75%, 47.28%, and 66.20%, respectively. Step-wise multiple linear regression analysis revealed that course (β = 0.247, P < 0.001), attitude (β = 0.154,P = 0.001), and behavior (β = 0.284, P < 0.001) were significant predictors of perceived effectiveness.
Conclusions: Participants in the present study revealed that they were willing to partake in disaster management. The participants also reported poor behavior and knowledge scores but appropriate attitude scores. The present study highlights the need for curriculum changes and policy implications for effective integration of various sectors for disaster management, particularly in developing nations such as India, which have a definite scarcity of resources.
DESIGN: A cross-sectional study.
SETTING: 11 manufacturing factories in Malaysia.
PARTICIPANTS: 177 night-shift workers aged 40-65 years old were compared with 317 non-night-shift workers.
PRIMARY AND SECONDARY OUTCOMES: Participants completed a self-administered questionnaire on socio-demographics and lifestyle factors, 12-item Short Form Health Survey V.2 (SF-12v2) and the Pittsburgh Sleep Quality Index (PSQI). The Baron and Kenny's method, Sobel test and multiple mediation model with bootstrapping were applied to determine whether PSQI score or its components mediated the association between night-shift work and HRQoL.
RESULTS: Night-shift work was associated with sleep impairment and HRQoL. Night-shift workers had significantly lower mean scores in all the eight SF-12 domains (p<0.001). Compared with non-night-shift workers, night-shift workers were significantly more likely to report poorer sleep quality, longer sleep latency, shorter sleep duration, sleep disturbances and daytime dysfunction (p<0.001). Mediation analyses showed that PSQI global score mediated the association between night-shift work and HRQoL. 'Subjective sleep quality' (indirect effect=-0.24, SE=0.14 and bias corrected (BC) 95% CI -0.58 to -0.01) and 'sleep disturbances' (indirect effect=-0.79, SE=0.22 and BC 95% CI -1.30 to -0.42) were mediators for the association between night-shift work and physical well-being, whereas 'sleep latency' (indirect effect=-0.51, SE=0.21 and BC 95% CI -1.02 to -0.16) and 'daytime dysfunction' (indirect effect=-1.11, SE=0.32 and BC 95% CI -1.86 to -0.58) were mediators with respect to mental well-being.
CONCLUSION: Sleep quality partially explains the association between night-shift work and poorer HRQoL. Organisations should treat the sleep quality of night-shift workers as a top priority area for action to improve their employees' overall wellbeing.