3 research outputs found

    Study the status of job stress and work-related stressors among the employees of a Spinning industry

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    Background and Aims: Job stress is one of the most important professional issues that poses high costs on organizations. It may result in reducing efficiency, feeling fatigue, which subsequently leads to employee dissatisfaction in him/her workplace. This study was designed to assess the employees’ job stress in a Spinningindustry.Materials and Methods: The present cross-sectional descriptive-analytic study was performed on 230 workers at a spinning industry. The standard job stress questionnaire of England HSE Institute was used to determine job stress. The employees were requested permission and their answers were treated as strictly confidential. The obtained data were analyzed by SPSS (version19), using descriptive statistics and Spearman & Pearson correlation coefficient, independent t-test, Kruskal-Wallis, ANOVA and Mann-Whitney Tests.Results: Statistically meaningful relationship (p >0.05) was observed between job stress and education level, the more education the less job stress. Age factors and working units indeed showed a similar relationship. There was only limited and not statistically significant (p>0.05) evidence for an increased job stress and sex, marital status, as well as job experience. The current study further found that the different job opportunities have high stress for 29.2 % employees, average stress for 69.5% employees and low stress for 1.3%.Conclusion: Considering the harmful physical and emotional responses of job stress, managing and controlling¬ of work-related stressors is recommended. This may worked out through identifying resources to significantly reduce the stress level and increase productivity in the workplace.Key words: Job Stress, Questionnaire, HSE, Mental Health, Spinning Industry Employee

    Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

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    A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic

    MAPPING LOCAL PATTERNS OF CHILDHOOD OVERWEIGHT AND WASTING IN LOW- AND MIDDLE-INCOME COUNTRIES BETWEEN 2000 AND 2017

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    A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic
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