Zuo Zhongbao, Yu Lan, Yang Chunli, Wang Miaochan, Wu Jing, Tao Chengjiang, Chen Xiaofei, Kang Ruihua, Liu Shourong, Huang Jinsong, Xu Aifang
Department of Clinical Laboratory, Hangzhou Xixi Hospital, Zhejiang, China.
Department of Clinical Laboratory, Community Health Service Center of Shangtang Street, Hangzhou Gongshu District, Zhejiang, China.
PLoS One. 2025 Jun 30;20(6):e0323934. doi: 10.1371/journal.pone.0323934. eCollection 2025.
This study investigated dyslipidemia and its relative factors among Chinese healthcare workers from 2019 to 2022.
This retrospective cohort study was conducted from 2019 to 2022. The endpoints were dyslipidemia or the end of follow-up. Univariate Cox proportional hazard regression and LASSO regression models were used to select variables, and a multivariate Cox proportional hazard regression model was constructed to explore factors associated with dyslipidemia.
67 (9.2%) medical staff members were diagnosed with dyslipidemia, 106 (14.5%) resigned from the hospital, and 558 (76.3%) kept normal lipid files. Compared with healthcare workers with previous working time <10 years, the hazard ratios (HRs) of those with 10-20 years and ≥ 20 years of working experience were 0.34 (0.18-0.64) (P = 0.001) and 0.47 (0.26-0.85) (P = 0.01); compared with 0-day frontline working time, the HR of those with ≥ 30 days frontline working time was 0.38 (0.19-0.75) (P = 0.005). The HRs of TG, HDL, LDL, TBIL and HB were 3.14 (1.65-6.01) (P < 0.001), 0.20 (0.06-0.65) (P = 0.008), 2.93 (1.70-5.05) (P < 0.001), 1.06 (1.02-1.10) (P = 0.002) and 0.98 (0.97-0.99) (P = 0.04), respectively.
Healthcare workers with high frontline working time and longer previous working time were less likely to have dyslipidemia, while healthcare workers with high levels of TG, LDL, HB, TBIL, and low levels of HDL were more likely to have dyslipidemia. Supporting healthcare workers should be a priority for policymakers and hospital administrators.
本研究调查了2019年至2022年中国医护人员的血脂异常及其相关因素。
本回顾性队列研究于2019年至2022年进行。终点为血脂异常或随访结束。采用单因素Cox比例风险回归和LASSO回归模型筛选变量，并构建多因素Cox比例风险回归模型以探索与血脂异常相关的因素。
67名（9.2%）医护人员被诊断为血脂异常，106名（14.5%）从医院辞职，558名（76.3%）血脂档案正常。与既往工作时间<10年的医护人员相比，工作经验为10 - 20年和≥20年的人员的风险比（HR）分别为0.34（0.18 - 0.64）（P = 0.001）和0.47（0.26 - 0.85）（P = 0.01）；与一线工作时间为0天的人员相比，一线工作时间≥30天的人员的HR为0.38（0.19 - 0.75）（P = 0.005）。甘油三酯（TG）、高密度脂蛋白（HDL）、低密度脂蛋白（LDL）、总胆红素（TBIL）和血红蛋白（HB）的HR分别为3.14（1.65 - 6.01）（P < 0.001）、0.20（0.06 - 0.65）（P = 0.008）、2.93（1.70 - 5.05）（P < 0.001）、1.06（1.02 - 1.10）（P = 0.002）和0.98（0.97 - 0.99）（P = 0.04）。
一线工作时间长和既往工作时间长的医护人员患血脂异常的可能性较小，而TG、LDL、HB、TBIL水平高且HDL水平低的医护人员患血脂异常的可能性较大。政策制定者和医院管理者应优先支持医护人员。
