Hygiene and Preventive Medicine
The influencing factors of cognitive function in coal workers
Yuliang Zhang, Lei Zhang, Wenyou Ma, Lingmei Yue, Congzhe Wang, Qian Feng, Ke Jiang, Chao Zhang, Li Zhang, Tianbang Qin
Published 2018-05-20
Cite as Chin J Behav Med & Brain Sci, 2018, 27(5): 455-458. DOI: 10.3760/cma.j.issn.1674-6554.2018.05.015
Abstract
ObjectiveTo explore the influencing factors of coal workers' cognitive function.
MethodsThere was a physical examination on 3 205 workers in the coal mine enterprise.The physical examination included height, weight, blood pressure, blood routine examination and routine urine test, and Mini Mental State Examination (MMSE) was used to evaluate the cognitive function.The coal workers were divided into cognitive dysfunction group (84 cases) and cognitive function normal group (3 121 cases) according to MMSE scores.Logistic regression analysis was used to explore the influencing factors of cognitive function.
ResultsThe prevalence of cognitive dysfunction was 2.62% in coal workers.The age of the cognitive dysfunction group(47.27±8.24) was significantly higher than that in the cognitive function normal group (41.39±8.65)(P<0.05), and the degree of culture in cognitive dysfunction group was significantly lower than those in the cognitive function normal group (χ2= 46.610, P<0.01). The low density lipoprotein cholesterol((2.72±0.65)mmol/L), urine pH(5.54±1.51) in the cognitive dysfunction group were significantly lower than those in the cognitive function normal group((2.89±0.73)mmol/L, (5.92±1.28))(P<0.05). The logistic regression analysis showed that age, culture level, BMI, low density lipoprotein cholesterol, urine pH were the impacting factors of cognitive dysfunction.
ConclusionCognitive dysfunction is influenced by age, culture level, BMI and low density lipoprotein cholesterol. The higher of the age and the lower of the culture level, BMI, low density lipoprotein cholesterol, urine pH, the more vulnerable to cognitive dysfunction.
Key words:
Coal workers; Cognitive dysfunction; Physiological factors; Safety management
Contributor Information
Yuliang Zhang
School of Management China University of Mining and Technology, Beijing 100083, China
Lei Zhang
Psychological Counselling Department, North China University of Science and Technology Affiliated of Kailuan Mental Health Center, Tangshan 063000, China
Wenyou Ma
Clinical Psychology Department, North China University of Science and Technology Affiliated of Kailuan Mental Health Center, Tangshan 063000, China
Lingmei Yue
Psychological Counselling Department, North China University of Science and Technology Affiliated of Kailuan Mental Health Center, Tangshan 063000, China
Congzhe Wang
Psychological Counselling Department, North China University of Science and Technology Affiliated of Kailuan Mental Health Center, Tangshan 063000, China
Qian Feng
Psychological Counselling Department, North China University of Science and Technology Affiliated of Kailuan Mental Health Center, Tangshan 063000, China
Ke Jiang
Psychological Counselling Department, North China University of Science and Technology Affiliated of Kailuan Mental Health Center, Tangshan 063000, China
Chao Zhang
Psychological Counselling Department, North China University of Science and Technology Affiliated of Kailuan Mental Health Center, Tangshan 063000, China
Li Zhang
Psychological Counselling Department, North China University of Science and Technology Affiliated of Kailuan Mental Health Center, Tangshan 063000, China
Tianbang Qin
Kailuan Occupational Disease Prevention and Control Hospital, Tangshan 063000, China
