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中国北京现代工业区产业工人肌肉骨骼症状流行情况。

Prevalence of musculoskeletal symptoms among industrial employees in a modern industrial region in Beijing, China.

机构信息

Department of General Practice, The School of General Practice and Continuing Education, Capital Medical University, Beijing 100069, China.

Department of General Medicine, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.

出版信息

Chin Med J (Engl). 2019 Apr 5;132(7):789-797. doi: 10.1097/CM9.0000000000000165.


DOI:10.1097/CM9.0000000000000165
PMID:30897593
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6595845/
Abstract

BACKGROUND: Growing industrialization of China exposes its labor population to the risk of musculoskeletal disorders (MSDs). This study aimed to investigate the prevalence and risk factors of MSDs in a modern industrial region of Beijing. METHODS: A cross-sectional study included 1415 employees in six industrial companies was conducted between January 2018 and May 2018 in Fangshan district, Beijng, China. Nordic Musculoskeletal Questionnaire (NMQ) was used to collect the information about MSDs. Demographic factors, lifestyle factors, health and medical factors, and work-related factors were collected as independent variables. Descriptive statistics, the chi-squared (χ) test, and binary logistic regression analysis were used to analyze data. RESULTS: Among 1415 participants, 498 reported MSDs. The regions involved were the neck (25.16%), shoulders (17.17%), and upper back (13.29%). There was a significant statistical difference between frontline industrial workers and other staff in the prevalence of self-reported symptoms involving the shoulders (χ = 4.33, P = 0.037), wrists and hands (χ = 8.90, P = 0.003), and ankles and feet (χ = 12.88, P < 0.001). Increased age (P = 0.005, OR = 1.63; P = 0.001, OR = 2.33), a high or a low salary (P < 0.001, OR = 0.49; P < 0.001, OR = 0.30), night-shift (P = 0.027, OR = 1.46), two-week-history of illness and treatment (P = 0.004, OR = 5.60; P = 0.013, OR = 4.19), concurrent chronic diseases (P = 0.001, OR = 3.45; P = 0.092, OR = 7.81), limited access to health information (P = 0.004, OR = 0.49), and negative attitude towards seeking healthcare (P = 0.010, OR = 1.77; P = 0.009, OR = 2.75) were associated with MSDs in frontline workers. Female gender (P < 0.001, OR = 2.30), high education (P = 0.001, OR = 1.96), no exercises (P = 0.027, OR = 0.59), night-shift (P = 0.017, OR = 1.98), concurrent chronic diseases (P = 0.002, OR = 3.73; P = 0.020, OR = 13.42), limited access to health information (P = 0.013, OR = 0.53), far distance to medical institution (P = 0.009, OR = 1.83), and negative propensity (P = 0.009, OR = 1.94; P = 0.014, OR = 2.74) were associated with MSDs in other staffs. CONCLUSIONS: The prevalence of MSDs among industrial employees has changed. Frontline workers had different prevalence and risk factors for MSDs compared with other employees. Negative propensity to healthcare, limited ways to obtain health knowledge, and concomitant chronic diseases were associated with MSDs. Surprisingly, highly educated and high-income employees had a higher risk of MSDs.

摘要

背景:中国工业化的发展使劳动力面临肌肉骨骼疾病(MSD)的风险。本研究旨在调查北京市房山区现代工业地区的 MSD 患病率和危险因素。

方法:2018 年 1 月至 5 月,在北京市房山区六家工业企业中进行了一项横断面研究,共纳入 1415 名员工。使用北欧肌肉骨骼问卷(NMQ)收集 MSD 信息。将人口统计学因素、生活方式因素、健康和医疗因素以及与工作相关的因素作为自变量。采用描述性统计、卡方检验(χ)和二项逻辑回归分析进行数据分析。

结果:在 1415 名参与者中,有 498 人报告有 MSD。涉及的部位有颈部(25.16%)、肩部(17.17%)和上背部(13.29%)。一线产业工人和其他员工在报告的肩部(χ=4.33,P=0.037)、手腕和手部(χ=8.90,P=0.003)和脚踝和足部(χ=12.88,P<0.001)症状的患病率方面存在显著统计学差异。年龄增长(P=0.005,OR=1.63;P=0.001,OR=2.33)、高或低工资(P<0.001,OR=0.49;P<0.001,OR=0.30)、夜班(P=0.027,OR=1.46)、两周内有疾病和治疗史(P=0.004,OR=5.60;P=0.013,OR=4.19)、并存慢性病(P=0.001,OR=3.45;P=0.092,OR=7.81)、有限获取健康信息(P=0.004,OR=0.49)和对寻求医疗保健的消极态度(P=0.010,OR=1.77;P=0.009,OR=2.75)与一线工人的 MSD 相关。女性(P<0.001,OR=2.30)、高学历(P=0.001,OR=1.96)、不运动(P=0.027,OR=0.59)、夜班(P=0.017,OR=1.98)、并存慢性病(P=0.002,OR=3.73;P=0.020,OR=13.42)、有限获取健康信息(P=0.013,OR=0.53)、医疗机构距离远(P=0.009,OR=1.83)和消极倾向(P=0.009,OR=1.94;P=0.014,OR=2.74)与其他员工的 MSD 相关。

结论:产业工人的 MSD 患病率发生了变化。一线工人 MSD 的患病率和危险因素与其他工人不同。对医疗保健的消极态度、有限的获取健康知识的途径以及并存的慢性病与 MSD 相关。令人惊讶的是,高学历和高收入的员工患 MSD 的风险更高。

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