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10. Effects of social support, imbalance of effort and reward, and sleep quality on self-rated health of male oil drilling crew workers in Southwest China.

Author

DENG Kai-yi, DONG Yong-zhao, ZHANG Yi-ying, ZHANG Xian-yan, SUN Min, and LIU Dan-ping

Subjects
SLEEP quality, SOCIAL support, STRUCTURAL equation modeling, SOCIAL influence, PETROLEUM
Abstract

Objective To analyze the current situation and potential influence paths of social support, imbalance of effort and reward, and sleep quality on self-rated health of male oil drilling crew workers in southwest China. Methods By using the method of cluster sampling, 1 951 male oil drilling crew workers were investigated, and a structural equation model was established to analyze the effects and pathways of social support, imbalance of effort and reward, and sleep quality on self-rated health. Results The average score of social support of the sample population was 38.13 ± 9.02, 53.0% was with low reward, the average score of sleep quality was 6.39 ± 3.72, and 47.8% of the workers rated their health as average/relatively poor/poor. The results of structural equation model showed that social support β = 0.123, 95%CI: 0.080-0.166) and sleep disorder (β =-0.407, 95%CI: -0.447 to -0.364) respectively had a direct effect on self-rated health. The mediating effect of sleep disorder and its chain intermediary effect on effort and reward imbalance were 0.008 (95%CI: 0.006-0.010) and 0.005 (95%CI: 0.004-0.006), respectively. Conclusion The social support, effort and reward, sleep quality, and self-rated health status of male oil drilling crew workers in southwest China are poor. Social support and sleep disorder have a direct effect on self-rated health, and the imbalance of effort and reward and sleep disorder play an intermediary role in the effect of social support on self-rated health. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Applicability of Zipf's Law in Traditional Chinese Medicine Prescriptions

Author

Li, Yuan-Bai, Du, Yu, Liu, Fang-Zhou, Zhang, Yi-Ying, Li, Meng, Wang, Jing, Li, Yi-Hao, and Yang, Yang

Subjects
China, Prescriptions, Medicine, Chinese Traditional
Abstract

Objective Traditional Chinese medicine (TCM) prescriptions have been used to cure diseases in China for thousands of years, in which many TCM herbs have no definite common quantity. Some key TCM herbs are commonly used and thus deserve in-depth investigations based on a more acceptable classification method. This study analyzes whether TCM prescriptions follow Zipf's law and attempts to obtain the thresholds of key TCM herbs based on the application of Zipf's law. Methods A total of 84,418 TCM prescriptions were collected and standardized. We tested whether Zipf's law and Zipf's distribution fit the Chinese herb distributions. A linear fitting experiment was performed to verify the relationship between the frequency distribution and frequency of TCM herbs. Results The distribution of TCM herbs in TCM prescriptions conformed to Zipf's law. Accordingly, the thresholds were obtained for the key TCM herbs. Conclusion The distribution of TCM herbs in TCM prescriptions follows Zipf's law.

Published
2022

19. An Energy-Efficient Multi-agent Based Architecture in Wireless Sensor Network

Author

Zhang, Yi-Ying, Yang, Wen-Cheng, Kim, Kee-Bum, Cui, Min-Yu, Xue, Ming, Park, Myong-Soon, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Zhang, Yanchun, editor, Yu, Ge, editor, Bertino, Elisa, editor, and Xu, Guandong, editor

Published
2008
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