Relationship Between Job Burnout and Neuroendocrine Indicators in Soldiers in the Xinjiang Arid Desert: A Cross-Sectional Study
Abstract
:1. Introduction
2. Experimental Section
2.1. Participants
2.2. Chinese Maslach Burnout Inventory (CMBI)
2.3. Quality Control of the Questionnaires
2.4. Physiological and Biochemical Indexes
2.5. Statistical Analysis
3. Results and Discussion
3.1. Results
3.1.1. Characteristics of the Participants
All Participants | Biochemistry Subset | |||||
---|---|---|---|---|---|---|
Variables | Arid Desert Group n = 246 | Control Group n = 574 | p | Arid Desert Group n = 75 | Control Group n = 96 | p |
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% |
All Participants | Biochemistry Subset | |||||
---|---|---|---|---|---|---|
Variables | Arid Desert Group n = 246 | Control Group n = 574 | p | Arid Desert Group n = 75 | Control Group n = 96 | p |
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 * |
3.1.2. Neuroendocrine Indicators
3.1.3. Multivariate Analysis of Job Burnout in Soldiers in the Arid Desert
OR | 95% CI | p | |
---|---|---|---|
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 * |
3.1.4. Correlation between Job Burnout and Neuroendocrine Indicators
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 |
3.2. Discussion
4. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Tao, N.; Zhang, J.; Song, Z.; Tang, J.; Liu, J. Relationship Between Job Burnout and Neuroendocrine Indicators in Soldiers in the Xinjiang Arid Desert: A Cross-Sectional Study. Int. J. Environ. Res. Public Health 2015, 12, 15154-15161. https://doi.org/10.3390/ijerph121214977
Tao N, Zhang J, Song Z, Tang J, Liu J. Relationship Between Job Burnout and Neuroendocrine Indicators in Soldiers in the Xinjiang Arid Desert: A Cross-Sectional Study. International Journal of Environmental Research and Public Health. 2015; 12(12):15154-15161. https://doi.org/10.3390/ijerph121214977
Chicago/Turabian StyleTao, Ning, Jianjiang Zhang, Zhixin Song, Jinhua Tang, and Jiwen Liu. 2015. "Relationship Between Job Burnout and Neuroendocrine Indicators in Soldiers in the Xinjiang Arid Desert: A Cross-Sectional Study" International Journal of Environmental Research and Public Health 12, no. 12: 15154-15161. https://doi.org/10.3390/ijerph121214977