Objectives: Exposure to cigarette smoke introduces a large amount of nicotine into the bloodstream through the lungs. So, smoking can be a risk factor for many diseases. The present study was conducted to investigate the effect of active and passive cigarette smoke on the blood lipid profile and dyslipidemia. Methods: This cross-sectional study was performed on 5052 individuals who participated in the recruitment phase of the Shahedieh cohort study. A logistic regression model was used to investigate the relationship between smoking exposure status and lipid profiles. Results: The prevalence of abnormal low-density lipoprotein-cholesterol (LDL-C), abnormal HDL-C, abnormal total cholesterol (TC), abnormal triglyceride (TG), and dyslipidemia were 254 (5.00%), 562 (11.10%), 470 (9.30%), 1008 (20.00%), and 1527 (30.20%), respectively. Adjusting for confounders, it was observed that current smokers had higher odds of having abnormal HDL-C [OR (95% CI), 2.90 (2.28–3.69)], abnormal TG [OR (95% CI), 1.71 (1.38–2.13)] and dyslipidemia [OR (95% CI), 1.86 (1.53–2.25)]. Ex-smokers also had greater odds of abnormal HDL-C [OR (95% CI), 1.51 (1.06–2.16)] compared to non-smokers who were not exposed to cigarette smoke. Conclusions: The findings indicated that current smokers had higher TG and lower HDL. So, necessary measures should be taken to reduce smoking. The findings also showed that the prevalence of abnormal TG and HDL in ex-smokers was lower than in current smokers. Therefore, the existence of incentive policies to quit smoking seems necessary.

Inadequate lighting will be associated with some degree of perceptual error such as sleepiness. The main purpose of this study was to investigate the interactions between mood, fatigue, mental workload, and sleepiness and their relationship with quantitative indicators of street lighting in passenger car drivers. The present study was a cross-sectional study that was performed on 270 drivers of passenger cars. The quantitative indices of lighting studied were illuminance, luminance, uniformity, and disability glare which were calculated using the Hagner device (EC1-L) and according to EN 13201 standard. Alertness and mood indices, fatigue scale (SAMN-PERELLI), mental workload (NASA-TLX), positive and negative affect schedule (PANAS) were used. Generalized structural equation modeling (GSEM) was used to investigate the relationship between mood, fatigue, mental workload, and drivers' sleepiness. Data analysis was performed in version 26 of SPSS software and version 14 of Stata software There is a significant relationship between illuminance and mood (P < 0.001). There is a significant relationship between the degree of disability glare on the streets and the mood (P = 0.006). There is a significant relationship between fatigue score and mood (P < 0.001) so that with increasing one unit in fatigue scale, mood score decreases by 0.669 units (P < 0.001). Finally, it can be assured that lighting interventions can be done as an effective way to increase alertness and reduce fatigue and the mental workload of drivers with the aim of reducing night traffic accidents.

Cardiovascular risk-prediction models are efficient primary prevention tools to detect high-risk individuals. The study aims to use three tools to estimate the 10-year risk of developing cardiovascular disease (CVD) and investigate their agreement in an Iranian adult population. The current cross-sectional study was carried out on 8569 adults between 35 and 70 who participated in the first phase of the Shahedieh cohort study in Yazd, Iran, and were free of CVDs (cardiac ischemia or myocardial infarction or stroke). World Health Organization/International Society of Hypertension (WHO/ISH) chart, Laboratory-Based (LB) and Non-Laboratory-Based (NLB) Framingham Risk Score (FRS) were used to predict the 10-year risk of developing CVD. The agreement across tools was determined by Kappa. WHO/ISH chart indicated the highest prevalence of low CVD risk for males (96.10%) and females (96.50%), while NLB Framingham had the highest prevalence of high CVD risk for males (19.40%) and females (5.30%). In total, there was substantial agreement between both FRS models (Kappa = o.70), while there was a slight agreement between WHO/ISH and both FRS tools. For under 60 years males and females, substantial agreements were observed between FRS methods (kappa = 0.73 and kappa = 0.68). For males and females over 60 years, this agreement was moderate and substantial, respectively (kappa = 0.54 and kappa = 0.64). WHO/ISH and LB Framingham model had substantial agreement for over 60 years females (kappa = 0.61). Framingham models classified more participants in the high-risk category than WHO/ISH. Due to the lethality of CVDs, categorizing individuals based on FRS can ensure that most of the real high-risk people are detected. Remarkable agreement between FRS methods in all sex-age groups suggested using the NLB Framingham model as a primary screening tool, especially in a shortage of resources condition.

Background and aims: Noise has many psychological effects. Although different studies have so far focused on various psychological effects, they have not evaluated communication skills and cognitive triad. Thus, this study was conducted to investigate the effect of noise exposure and noise annoyance on communication skills and cognitive triad. Methods: This cross-sectional study was conducted on 65 workers in 2021. The equivalent sound level (LeqA) was determined using dosimetry. Based on LeqA, noise exposure was divided into permissible and impermissible types. Noise annoyance was measured by the numerical rating scale recommended by ISO/TS 15666:2003. The Communication Skills Questionnaire and Cognitive Triad Inventory were used for data collection. Finally, the obtained data were analyzed by SPSS 24 using an independent samples t test and Spearman correlation test. Results: The mean (±standard deviation) age of workers was equal to 33.87 (±5.95) years. The results of the correlation test showed a positive and significant relationship between LeqA and noise annoyance (P<0.001, r=0.82). Based on the results of the independent samples t test, there was no significant difference in the scores of communication skills (P=0.11) and cognitive triad (P=0.93) in the two groups. Conclusion: In this study, a positive and significant relationship was found between noise exposure and noise annoyance. In addition, communication and cognitive skills were not significantly different in the two study groups. To accurately determine the relationships of variables, it is recommended to conduct similar studies with larger sample sizes while considering variables such as personality traits and social intelligence.

Background: Individual factors influence safety behavior, especially personality and psychological variables. Self-efficacy and perceived control are among these psychological drivers that were less addressed in the industrial environments and work safety. In this regard, the present study was conducted to investigate the association between safety self-efficacy and safety perceived control ...