Quality of life and influencing factors of coal miners in Xuzhou, China

Han, Lei; Li, Yan; Yan, Wei; Xie, L Z; Wang, Shuping; Wu, Qiuyun; Ji, Xiaoming; Zhu, Baoli; Ni, Chunhui

doi:10.21037/jtd.2018.01.14

Cited by 20 publications

(24 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Additionally, we stratified the association analyses by gender, age, and workplace, respectively, to derive more complete results specific to different subgroups. This study contributes to the previous researches which didn’t draw any conclusion about the relationship of sleep quality with job burnout among coal mine workers 13,14 , and provides a broader empirical basis for the relevant research on the mental health of coal miners.…”

Section: Introductionmentioning

confidence: 76%

“…It is not difficult to realize that the association of sleep status and job burnout differed among various kinds of workers. Different studies have been carried out on coal miners, but there has been no research specifically investigated the association of sleep and job burnout on this field of work 13,14 . So it is necessary to confirm the existence and magnitude of the potential relationship in this population for the consideration of occupational health.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Association of sleep quality with job burnout among Chinese coal mine staff: a propensity score weighting analysis

Gao

Wang

et al. 2019

Sci Rep

View full text Add to dashboard Cite

This study examines the association of sleep quality with job burnout among Chinese coal mine staff. 3832 subjects were selected from a coal mine group located in Shanxi Province in China. Job burnout was evaluated by the Maslach Burnout Inventory-General Survey and sleep quality was acquired with a self-reported questionnaire. We used the inverse probability of treatment weighting with propensity score to mimic the randomization and to minimize bias in estimations. Sensitivity analysis was conducted to test the robustness of our findings. We identified that good sleep quality was significantly associated with lower risk of job burnout (OR: 0.70; 95%CI, 0.60 to 0.82, p = 6.02e-06), with 0.21 decrease in the score of exhaustion (95%CI,−0.29 to −0.12, p = 5.00e-06), and with 0.13 decrease in the score of cynicism (95%CI,−0.21 to −0.04, p = 3.73e-03). Sensitivity analysis demonstrated that the results were robust to the choice of estimation models, as well as unmeasured confounding. Stratification analysis demonstrated that the associations of sleep quality with job burnout were largely heterogeneous for male and female workers. This study implicated that good sleep quality benefits the workers in relief of job burnout. Further research may be warranted in support of a definite causal relationship and intervention strategy.

show abstract

Section: Introductionmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Association of sleep quality with job burnout among Chinese coal mine staff: a propensity score weighting analysis

Gao

Wang

et al. 2019

Sci Rep

View full text Add to dashboard Cite

show abstract

“… 7 Stress is a significant part of the living conditions of coal miners, correlating with harsh working conditions, including repetitive activities, lifting heavy materials, shift work and night work. 8 Besides, job burn-out results from working stress, and inappropriate work environment can trigger depression. 9 In addition, a study revealed average rates of 18.6%, 26.4% and 23.5% for hypertension, hyperlipidaemia and hyperglycaemic, respectively, in coal miners.…”

Section: Introductionmentioning

confidence: 99%

Associations of occupational stress with job burn-out, depression and hypertension in coal miners of Xinjiang, China: a cross-sectional study

et al. 2020

View full text Add to dashboard Cite

ObjectiveStrategies and measures for fighting occupational stress in China are inadequate. This study aimed to determine the level of occupational stress in coal miners and to assess the associations between occupational stress and job burn-out, depression and hypertension. The results could provide clues for preventive measures and strategies to improve the psychological well-being of this population.DesignCross-sectional study.SettingXinjiang Coal Administration Bureau.ParticipantsFour coal mines were selected randomly (computer-generated random number-based selection process) from the 21 coal mines of Xinjiang, and all miners with >1 year of employment were screened for participation.Primary and secondary outcome measuresA general demographic questionnaire, the Self-rating Depression Scale, the Effort–Reward Imbalance (ERI) model and the Maslach Burn-out Inventory.ResultsA total of 1400 questionnaires were collected, including 1334 (95.3%) valid questionnaires. This survey indicated that 1107 (83.0%) participants with an ERI score >1 (high occupational stress) and 227 (12.8%) had ERI ≤1. Severe depression was found in 21.7% of the participants. Job burn-out was positively correlated with occupational stress, which was, in turn, associated with depression. Multivariable linear regression analysis showed that depression (β=0.006, p=0.012), sex (β=0.358, p<0.001) and occupational stress (β=0.702, p<0.001) were independently associated with job burn-out. Working years (β=−0.086, p=0.015) and job burn-out (β=0.022, p<0.001) were directly associated with depression.ConclusionThis study highlights that occupational stress may affect job burn-out, depression symptoms and hypertension. A higher degree of occupational stress was associated with poorer mental status and hypertension.

show abstract

“…QoL is a multidimensional concept comprised of physical component summary (PCS) and mental component summary (MCS). It is included in widelyused health surveys, as an end point in medical care (Han et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Association between Noise Exposure and Quality of Life among People Living Near Stone-Mortar Factories, Phayao Province, Northern Thailand

Thongtip

Sangkham

Srivichai

et al. 2020

Environ.Nat.Resour.j.

View full text Add to dashboard Cite

Noise may have adverse effects on health and quality of life (QoL). This study assessed the association between noise exposure and QoL among people living near stone-mortar factories. A cross-sectional descriptive study was conducted using 269 subjects. The data was collected using questionnaires, sound level meter, and a geographic information system technique. The statistical analysis was carried out using independent t-test, ANOVA, Pearson’s correlation coefficient test and multiple binary logistic regression analysis. The average noise in factory no. 2, 4, and 5 was found to be higher than the standard level of NIOSH at 85 dB(A) and OSHA at 90 dB(A) for an 8-hour TWA. The multiple binary logistic regression analysis showed that an increasing residential distance was associated with high noise exposure after adjusting for age, education, income, length of stay in community, and overall QoL. The local policy makers should be required to emphasize on the reduction of noise pollution in stone-mortar factories and health surveillance of the residential neighborhood.

show abstract

Quality of life and influencing factors of coal miners in Xuzhou, China

Abstract: QOL of coal miners has been affected. Some measures might be taken by enterprise and coal miners themselves to protect the health of coal miners and improve their quality of life.

Cited by 20 publications

References 27 publications

Association of sleep quality with job burnout among Chinese coal mine staff: a propensity score weighting analysis

Association of sleep quality with job burnout among Chinese coal mine staff: a propensity score weighting analysis

Associations of occupational stress with job burn-out, depression and hypertension in coal miners of Xinjiang, China: a cross-sectional study

Association between Noise Exposure and Quality of Life among People Living Near Stone-Mortar Factories, Phayao Province, Northern Thailand

Contact Info

Product

Resources

About