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The present study was conducted in textile mill of Pali city with the objective to study the risk of cardiac and gastric problems in relation to shift work among male workers. The results showed significant difference between Body Mass Index (χ2=14.2, p=0.0008) and waist hip ratio (χ2=5.2, p=0.0226) of shift and non shift workers. Results on food intake showed comparatively more deficient daily intake of nutrients like fiber (7.21 g), β carotene (1842.89 μg), and folic acid (99.03 μg) in shift workers with respect to recommended dietary allowances and an overconsumption of fats (37.72 g). Alcoholism (χ2=17.3, p=0.0001) and smoking habit (χ2=14, p=0.0029) was found to be significantly higher among shift workers. Comparatively higher segment of shift workers suffered from hypertension (56.0%), disturbed appetite (87.50%), stomach upsets (90.0%), nausea (88.50%), heartburn (85.0%) and breathlessness (34.0%). Shift workers also had higher mean levels of lipid profile fractions and relatively more subjects fell into the category of high risk (20.50%) of CVD. Longer duration of involvement in shift work also influenced the occurrence of gastric and cardiac problems like disturbed appetite (χ2=9.96, p=0.0411), stomach upsets (χ2=9.73, p=0.0452), stomach ache (χ2=10.1, p=0.0389), constipation (χ2=9.88, p=0.0424), dizziness (47.37%), breathlessness (50.0%) and swollen feet (44.74%). The study concludes that shift work affects food intake, BMI, WHR, BP, alcohol intake, smoking habits and lipid profile of the subjects, thus increasing the risk of health problems like cardiovascular and gastric diseases. [ABSTRACT FROM AUTHOR]

Objectives: For the purpose of evaluation of exhaled NO as an index of airway inflammation, we assessed changes in fractional exhaled NO (FeNO) across a work shift and its relationship with respiratory complaints. Material and Methods: Chronic and work-aggravated respiratory complaints were assessed using a questionnaire in 89 male textile workers. FeNO and spirometry were performed before and after a work shift and all the changes were registered. Results: A significant increase in FeNO after a work shift was observed. Post-shift FeNO was significantly higher among the subjects with chronic respiratory complaints. There was an obvious decrease in FVC, and FEV after a work shift; however, we couldn't find a significant relationship between changes in respiratory parameters and concentration of inhalable dusts. Conclusions: FeNO increase after a work shift along with pulmonary function decrement and higher post-shift FeNO among subjects with respiratory complaints makes across-shift FeNO a non-invasive test for assessment of airway hyper-responsiveness in textile workers. [ABSTRACT FROM AUTHOR]

Introduction. Two great changes in developed countries are taking place: populations are ageing and becoming increasingly overweight. Combination of these factors with shift work is a risk factor for work ability and mental workload that are dynamic processes which change greatly throughout an individual's work life.The aim of this study was to investigate mental workload and work ability in textile workers and to identify factors which affect work ability and mental workload. Methods. This cross-sectional study was carried out among 194 male workers in textile industry. Employees based on their job group and work conditions have been divided into 6 categories.They completed work ability index and mental workload questionnaires during three work shifts. Body mass index (BMI) and demographic details were recorded. Results. All of the participants rated their work ability asmoderate with high mental workload. The mean WAI and mental workload in age group were significant. The mean BMI was 25.5 kg/m2 (standard deviation 4.1) and the mean age was 40.22 years. There was a statistically significant correlation between work ability index and shift work. Conclusions. Unlike the previous study, a decrease point in WAI started in early age that may be due to lifestyle work and another psychological factor; on the other hand, NASA-TLX revealed high score in six subscales that can be another reason for low WAI. [ABSTRACT FROM AUTHOR]