| Literature DB >> 26633442 |
Ning Tao1, Jianjiang Zhang2, Zhixin Song3, Jinhua Tang4, Jiwen Liu5.
Abstract
The purpose of this study was to explore the relationship between job burnout and neuroendocrine indicators in soldiers living in a harsh environment. Three hundred soldiers stationed in the arid desert and 600 in an urban area were recruited. They filled in the Chinese Maslach Burnout Inventory questionnaire. One hundred soldiers were randomly selected from each group to measure their levels of noradrenaline, serotonin, heat shock protein (HSP)-70, adrenocorticotropic hormone, and serum cortisol. Job burnout was more common in soldiers from urban areas than those from rural areas. Job burnout was significantly higher among soldiers stationed in the arid desert than those in urban areas. For soldiers in the arid desert, the levels of HSP-70, serum cortisol, and adrenocorticotropic hormone were significantly higher than in soldiers in urban areas. Correlation analyses showed that the degree of job burnout was weakly negatively correlated with the level of HSP-70. Being an only child, HSP-70 levels, cortisol levels, and ACTH levels were independently associated with job burnout in soldiers stationed in the arid desert. A higher level of job burnout in soldiers stationed in arid desert and a corresponding change in neuroendocrine indicators indicated a correlation between occupational stress and neurotransmitters.Entities:
Keywords: harsh environment; job burnout; neuroendocrine indicator; soldiers
Mesh:
Substances:
Year: 2015 PMID: 26633442 PMCID: PMC4690913 DOI: 10.3390/ijerph121214977
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Characteristics of the participants.
| All Participants | Biochemistry Subset | |||||
|---|---|---|---|---|---|---|
| Variables | Arid Desert Group | Control Group | Arid Desert Group | Control Group | ||
| Age | 0.096 | 0.473 | ||||
| ≤20 years | 122, 49.6% | 241, 42.0% | 38, 50.70% | 40, 41.70% | ||
| 21–25 years | 104, 42.3% | 268, 46.7% | 30, 40.0% | 47, 48.90% | ||
| ≥26 years | 20, 8.1% | 65, 11.3% | 7, 9.30% | 9, 9.40% | ||
| Length of military service | 0.094 | 0.481 | ||||
| ≤2 years | 168, 68.3% | 363, 63.2% | 51, 68.0% | 61, 63.5% | ||
| 3–7 years | 62, 25.2% | 146, 25.4% | 20, 26.7% | 25, 26.0% | ||
| ≥8 years | 16, 6.5% | 65, 11.3% | 4, 5.3% | 10, 10.4% | ||
| Ethnicity | <0.001 | 0.022 | ||||
| Han | 235, 95.5% | 495, 86.2% | 72, 96.0% | 82, 85.4% | ||
| Minority | 11, 4.5% | 79, 13.8% | 3, 4.0% | 14, 14.6% | ||
| Education | 0.971 | 0.995 | ||||
| Junior and senior | 179, 72.8% | 414, 72.1% | 53, 70.7% | 68, 70.8% | ||
| Big and secondary | 53, 21.5% | 128, 22.3% | 16, 21.3% | 20, 20.8% | ||
| University or above | 14, 5.7% | 32, 5.6% | 6, 8.0% | 8, 8.3% | ||
| Marital status | 0.008 | 0.076 | ||||
| Married | 11, 4.5% | 58, 10.1% | 2, 2.7% | 9, 9.40% | ||
| Unmarried | 235, 95.5% | 516, 89.9% | 73, 97.3% | 87, 90.60% | ||
| Household registration before recruitment | <0.001 | 0.425 | ||||
| Urban | 194, 78.9% | 370, 64.5% | 55, 73.3% | 65, 67.7% | ||
| Rural | 52, 21.1% | 204, 35.5% | 20, 26.7% | 31, 32.3% | ||
| Only child | 0.581 | 0.787 | ||||
| Yes | 69, 28.0% | 172, 30.0% | 22, 29.3% | 30, 31.3% | ||
| No | 177, 72.0% | 402, 70.0% | 53, 70.7% | 66, 68.8% | ||
| Monthly family income | 0.636 | 0.801 | ||||
| ≤1000 yuan | 27, 11.0% | 78, 13.6% | 8, 10.7% | 12, 12.5% | ||
| 1000–4000 yuan | 34, 13.8% | 91, 15.9% | 11, 14.7% | 16, 16.7% | ||
| 4000–7000 yuan | 46, 18.7% | 107, 18.6% | 15, 20.0% | 19, 19.8% | ||
| 7000–1000 yuan | 91, 37.0% | 185, 32.2% | 29, 38.7% | 29, 30.2% | ||
| ≥10,000 yuan | 48, 19.5% | 113, 19.7% | 12, 16.0% | 20, 20.8% | ||
| Rank level | 0.438 | 0.918 | ||||
| Officer | 11, 4.5% | 31, 5.4% | 3, 4.0% | 5, 5.2% | ||
| Sergeancy | 68, 27.6% | 180, 31.4% | 22, 29.3% | 29, 30.2% | ||
| Conscripts | 167, 67.9% | 363, 63.2% | 50, 66.7% | 62, 64.6% | ||
* p < 0.05.
Results of burnout and neuroendocrine indicators.
| All Participants | Biochemistry Subset | |||||
|---|---|---|---|---|---|---|
| Variables | Arid Desert Group | Control Group | Arid Desert Group | Control Group | ||
| Job burnout score | 43.94 ± 14.61 | 41.20 ± 15.10 | <0.001 | 42.58 ± 12.36 | 40.31 ± 14.08 | <0.001 |
| Emotional exhaustion | 15.34 ± 7.95 | 13.59 ± 7.12 | <0.001 | 16.11 ± 7.23 | 13.98 ± 7.35 | <0.001 |
| Depersonalisation | 10.17 ± 5.61 | 9.60 ± 5.21 | 0.131 | 9.89 ± 5.12 | 9.54 ± 4.97 | 0.342 |
| Reduced accomplishment | 19.62 ± 7.92 | 19.00 ± 8.24 | 0.001 | 20.03 ± 7.98 | 19.12 ± 8.31 | <0.001 |
| Job burnout level | 0.010 | 0.047 | ||||
| no burnout | 49, 19.9% | 144, 25.1% | 16, 21.3% | 25, 26.0% | ||
| mild burnout | 99, 40.2% | 256, 44.6% | 28, 37.3% | 47, 49.0% | ||
| moderate burnout | 75, 30.5% | 132, 23.0% | 24, 32.0% | 21, 21.9% | ||
| severe burnout | 23, 9.3% | 42, 7.3% | 7, 9.3% | 3, 3.1% | ||
| Neuroendocrine response | ||||||
| HSP-70 (ng/L) | 3.83 ± 1.93 | 3.67 ± 2.42 | 0.043 | |||
| Noradrenaline (ng/L) | 3.67 ± 2.88 | 3.49 ± 2.43 | 0.165 | |||
| Serotonin (ng/L) | 3.38 ± 2.74 | 2.05 ± 0.70 | 0.314 | |||
| Cortisol (ng/mL) | 167.94 ± 87.56 | 153.09 ± 49.70 | 0.012 | |||
| ACTH (pg/mL) | 22.61 ± 9.18 | 16.03 ± 6.40 | <0.001 | |||
Multivariate analysis of job burnout in soldiers stationed in the arid desert.
| OR | 95% CI |
| |
|---|---|---|---|
| Only child | 1.171 | (1.032−1.874) | 0.039 |
| HSP-70 | 1.740 | (1.459−2.053) | 0.022 |
| Cortisol | 1.124 | (1.045−1.206) | 0.041 |
| ACTH | 1.316 | (1.127−0.532) | 0.033 |
* p < 0.05.
Correlation between job burnout and neuroendocrine indicators in the arid desert group.
| Variables | Emotional Exhaustion | Depersonalization | Reduced Accomplishment | Job Burnout |
|---|---|---|---|---|
| HSP-70 (ng/L) | −0.045 | −0.061 | −0.031 | −0.078 |
| Cortisol (ng/mL) | 0.011 | 0.06 | −0.123 | 0.028 |
| ACTH (pg/mL) | 0.032 | −0.072 | −0.126 | 0.013 |
* p < 0.05.