Department of Public Health, Xinjiang Medical University, Urumqi, 830011, China.
Department of Public Health, Xinjiang Medical University, Urumqi, 830011, China.
J Affect Disord. 2022 Jan 15;297:76-82. doi: 10.1016/j.jad.2021.10.002. Epub 2021 Oct 8.
To understand the current situation of job burnout among coal miners in Xinjian. The effects of occupational stress, GCCR and SLC6A4 gene polymorphisms, and gene-environment interactions on job burnout in coal miners were analyzed. This study provides a scientific basis for formulating health strategies to combat job burnout in the future.
The job burnout scale and job content questionnaire (JCQ) were used to investigate the general situation of job burnout among coal miners and its influencing factors. The imLDR multiple SNP typing kit was used to type 300 samples (150 samples from the burnout case group and 150 from the control group). The relationship between the occurrence of job burnout, and the GCCR and SLC6A4 genes was analyzed.
There were significant differences in the rate of burnout among miners of different sexes, ages, working years, shifts, working types, and marital status (P < 0.05). The difference in occupational stress between the different job burnout groups was statistically significant (P < 0.05). The GG genotype at rs41423247 increased the risk of burnout (OR=3.224, 95% CI:1.425-7.294). Similarly, compared to the TT genotype at rs11080122, the CC genotype increased the susceptibility of job burnout (OR =2.614, 95% CI:1.047-6.527). The results of gene-environment interaction regression analyses showed that the interaction between rs41423247, rs17209237, and occupational stress increased the risk of job burnout (OR = 5.049, 95% CI = 2.371-10.750).
In addition to demographic characteristics, occupational stress was also a risk factor for job burnout. The interaction between rs41423247 and rs17209237 of the GCCR gene and occupational stress increased the risk of job burnout.
了解新建煤矿工人职业倦怠的现状。分析职业压力、GCCR 和 SLC6A4 基因多态性以及基因-环境相互作用对煤矿工人职业倦怠的影响。本研究为今后制定防治职业倦怠的健康策略提供了科学依据。
采用职业倦怠量表和工作内容问卷(JCQ)调查煤矿工人职业倦怠的一般情况及其影响因素。采用 imLDR 多重 SNP 分型试剂盒对 300 例样本(倦怠病例组 150 例,对照组 150 例)进行分型。分析发生职业倦怠与 GCCR 和 SLC6A4 基因的关系。
不同性别、年龄、工龄、班次、工作类型和婚姻状况的矿工职业倦怠发生率存在显著差异(P<0.05)。不同职业倦怠组的职业压力差异有统计学意义(P<0.05)。rs41423247 的 GG 基因型增加了倦怠的风险(OR=3.224,95%CI:1.425-7.294)。同样,与 rs11080122 的 TT 基因型相比,CC 基因型增加了职业倦怠的易感性(OR=2.614,95%CI:1.047-6.527)。基因-环境相互作用回归分析结果表明,rs41423247、rs17209237 与职业压力的相互作用增加了职业倦怠的风险(OR=5.049,95%CI=2.371-10.750)。
除人口统计学特征外,职业压力也是职业倦怠的危险因素。GCCR 基因 rs41423247 和 rs17209237 与职业压力的相互作用增加了职业倦怠的风险。