The Influence of Stress on the Health of Workers in Manufacturing Industry

Aidoo, Abdul Wahab

doi:10.21533/isjss.v2i2.84

Cited by 3 publications

(3 citation statements)

References 16 publications

(18 reference statements)

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“…12,13 Increased stress levels are related to decreased job performance, higher medical costs, and impaired QoL. 14,15 A number of studies have reported significant association between psychological stressors and poor physical and mental health. 16,17 Furthermore, stressful life events are inversely related to QoL and well-being.…”

Section: Introductionmentioning

confidence: 99%

<p>How Different Stressors Affect Quality of Life: An Application of Multilevel Latent Class Analysis on a Large Sample of Industrial Employees</p>

Parsaei

Roohafza

Feizi

et al. 2020

RMHP

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Background Quality of life (QoL) indicates individual’s perception of the physical, psychological and social aspects of health. The association between QoL and all stressful life events‘ dimensions has not been investigated among industrial employees. Purpose The present study aimed to investigate the association between stressful life events and QoL in a large sample of Iranian industrial employees. Material and Methods In a cross-sectional study, 3063 manufacturing employees in Isfahan, Iran, were recruited. QoL was measured with the Euro-QoL five dimension questionnaire (EQ-5D). Stressful life events were assessed by an Iranian validated stressful life event questionnaire (SLE). Multilevel latent class regression was employed for classifying participants based on QoL and for determining its association with stressful life events. Results Two classes of employees, ie, low (comprised 20% of participants) and high QoL (80%), were identified. From 11 dimensions of stressful life events two major domains, socioeconomic and personal stressor profiles, were identified. Multilevel latent class regression results showed that the higher scores of social (OR: 1.14, 95%CI: 1.12–1.16) and personal (OR: 2.36, 95%CI: 1.87– 2.98) stressor domains were significantly associated with increased risk of being in the poor QoL class. Among personal and socioeconomic stressors, health concerns and daily life dimensions had higher significant association with poor QoL. Conclusion Results of our study indicated that life stressors have negative impacts on QoL of employees. Personal stressors showed higher negative impact than socioeconomic on QoL. Managing the stressors can play an effective role in improving the QoL of employees, their physical and mental health, and indirectly enhances the organizational performance and job productivity.

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Section: Introductionmentioning

confidence: 99%

<p>How Different Stressors Affect Quality of Life: An Application of Multilevel Latent Class Analysis on a Large Sample of Industrial Employees</p>

Parsaei

Roohafza

Feizi

et al. 2020

RMHP

View full text Add to dashboard Cite

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“…Karamchandani et al (2020) reached the conclusion that occupational stress considerably and negatively impacted employee attitudes toward management. Multiple factors, according to Aidoo (2017), contribute to job stress and stress-related disorders. Among these elements are the environment, occupational demand (task), organizational structure, and work-life balance.…”

Section: Literature Reviewmentioning

confidence: 99%

Occupational Stress and Work-Life Balance in the Manufacturing Industry

Che Noordin,

Syed Ahmad,

Mohamed Razali

et al. 2023

IMBR

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The manufacturing industry has become a crucial sector in Malaysia, leading to a high demand for employees, especially in management positions. However, job stress is a prevalent issue that can affect employees' work-life balance. Thus, this study aims to identify the factors that contribute to job stress in the private sector, specifically at the management level, which is vital for ensuring smooth daily operations. Private sector employees have the most control over occupational stress. The study focuses on conflict at work, job requirements, and job environment as contributing factors. A self-administered survey questionnaire was used to gather data, with 201 sets distributed to employees in food manufacturing at Selangor. The analysis of 190 valid questionnaires using the latest version of Statistic Packages for Social Science (SPSS) revealed that there is a significant influence of occupational stress on employees' work-life balance in the manufacturing industry with the work environment as the most influential factor. Conflict at work is the second most influential factor, while job requirements do not significantly contribute to job stress. The findings of this study can help managers and business owners in the manufacturing industry to understand the factors that cause employee, and job stress and encourage them to focus on implementing strategies to reduce stress in the workplace.

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“…Stress imposes a significant burden on the public. Increased stress levels are related to decreased job performance, higher medical costs, and poor relationships including family breakdowns leaving children unattended [ 12 ]. It also disrupts the whole life, health, and enjoyment of everyday activities [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

Perceived stress and its associated factors among people living in post-war Districts of Northern Ethiopia: A cross-sectional study

et al. 2022

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Background War and conflict environments result in long-term physical and psychological consequences. Sexual violence, displacement, malnutrition, death, illness, injury, torture, and disability are some of the physical effects, whereas stress, depression, aggressive behaviors, and anxiety are some of the emotional complications of war. Hence, evidence-based interventions are required particularly to monitor mental health disorders. Thus, we aimed to investigate the prevalence of perceived stress and its associated factors among people living in post-war situations, Northern Ethiopia. Method A community-based cross-sectional study design was employed among 812 samples from April 1 to May 15, 2022. The study participants were selected using a multistage sampling technique. The data was collected through face-to-face interviews using a structured and pre-tested tool. Data were cleaned and entered into Epi-Data version 4.6 and transferred to SPSS version 25 for analysis. Binary logistic regression analysis was performed to identify determinants of perceived stress. The Hosmer-Lemeshow goodness-of-fit was applied to test for model fitness and a p-value of <0.05 was considered statistically significant. Result The prevalence of perceived stress was 76.1%, 95% CI (72.9–78.8). Age above 45 years (AOR (CI) = 2.45 (1.07–5.62), poor educational level (AOR (CI) = 5.92 (2.36–14.8), large family size (AOR (CI) = 0.48 (0.31–0.74), alcohol consumption (AOR (CI) = 0.63 (0.42–0.94), smoking (AOR (CI) = 0.17 (0.06–0.56), and exposure to multiple traumatic events (AOR (CI) = 2.38 (1.23–4.62) have shown a statistically significant association with perceived stress. Conclusion This study revealed that more than three-fourths of participants living in post-war settings were found to have perceived stress. Older age, poor level of education, large family size, alcohol consumption, smoking, and the number of traumatic events were significant associates of perceived stress. Psychotherapy that can effectively address the medical, social, and psychological well-being of the community is important to reduce the burden of perceived stress.

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The Influence of Stress on the Health of Workers in Manufacturing Industry

Cited by 3 publications

References 16 publications

<p>How Different Stressors Affect Quality of Life: An Application of Multilevel Latent Class Analysis on a Large Sample of Industrial Employees</p>

<p>How Different Stressors Affect Quality of Life: An Application of Multilevel Latent Class Analysis on a Large Sample of Industrial Employees</p>

Occupational Stress and Work-Life Balance in the Manufacturing Industry

Perceived stress and its associated factors among people living in post-war Districts of Northern Ethiopia: A cross-sectional study

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