| 摘要: |
| 目的 分析某三甲医院军人医务人员5年群体代谢指标特征，为该群体代谢性疾病健康管理的优化提供参考。方法 收集某三甲医院2016年至2020年军人医务人员的健康体检档案，采用SPSS 21.0软件对军人医务人员的代谢指标异常情况及群体特征进行统计分析。结果 2016年至2020年军人医务人员异常率较高的代谢指标为超重、尿酸、低密度脂蛋白胆固醇（LDL-C），其中尿酸和LDL-C的异常率在5年间的差异有统计学意义（χ2=21.797，P＜0.01, χ2=10.521，P＜0.05）。男性异常率较高的指标为超重、LDL-C、尿酸，女性异常率较高的指标为LDL-C、总胆固醇。同一性别群体单个指标的5年异常率比较中，男性群体的尿酸、LDL-C异常率差异有统计学意义（χ2=45.496，P＜0.01, χ2=12.086，P＜0.05），女性群体的尿酸、总胆固醇、LDL-C异常率差异有统计学意义（χ2=10.270，P＜0.05, χ2=14.349，P＜0.01, χ2=10.834，P＜0.01）。男性群体超重、尿酸、甘油三酯、高密度脂蛋白胆固醇（HDL-C）的5年异常率均高于女性（P均＜0.05）。2016年至2020年＜40、40～50、＞50岁3个年龄组间空腹血糖及LDL-C的异常率差异均有统计学意义（P均＜0.01），且＞50岁组空腹血糖的异常率在5年间均为最高，LDL-C的异常率在2017年至2020年均为最高。＜40组、40～50组、＞50岁组3组间超重率在2020年的差异有统计学意义（P＜0.01），其中＞50岁组的超重率最高。结论 军人医务人员的代谢指标变化具有一定群体特征性，性别与年龄对代谢指标异常率有一定影响。 |
| 关键词: 军事人员 医务人员 群体特征 代谢 健康状况 |
| DOI：10.16781/j.CN31-2187/R.20210600 |
| 投稿时间：2021-06-16修订日期：2022-03-07 |
| 基金项目: |
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| Characteristics of metabolic indexes of military medical personnel in a tertiary hospital |
| ZHOU Quan1,LI Jianping2,LU Xiao2,SHI Jianfeng2,WANG Meijie2,NI Hailai3* |
(1. Department of Hospital Service, The Third Affiliated Hospital of Naval Medical University (Second Military Medical University), Shanghai 200433, China;
2. Medical Affair Office, The First Affiliated Hospital of Naval Medical University (Second Military Medical University), Shanghai 200433, China;
3. Department of Health Care, The First Affiliated Hospital of Naval Medical University (Second Military Medical University), Shanghai 200433, China
*Corresponding author) |
| Abstract: |
| Objective To analyze the characteristics of 5-year population metabolic indexes of military medical personnel in a tertiary hospital, so as to provide reference for optimizing the health management of metabolic diseases in this population. Methods The health records of military medical personnel in a tertiary hospital from 2016 to 2020 were collected. SPSS 21.0 software was used to analyze the abnormal metabolic indexes and group characteristics. Results The metabolic indexes with high abnormal rates among military medical personnel from 2016 to 2020 were overweight, uric acid (UA), and low-density lipoprotein cholesterol (LDL-C), and the differences in the abnormal rates of UA and LDL-C were significant over the past 5 years (χ2=21.797, P＜0.01; χ2=10.521, P＜0.05). The indexes with higher abnormal rates in males were overweight, LDL-C, and UA, while the indexes with higher abnormal rates in females were LDL-C and total cholesterol (TC). In the comparison of the 5-year abnormal rates of a single index in the same gender group, there were significant differences in the abnormal rates of UA and LDL-C in males (χ2=45.496, P＜0.01; χ2=12.086, P＜0.05) and in the abnormal rates of UA, TC, and LDL-C in females (χ2=10.270, P＜0.05; χ2=14.349, P＜0.01; χ2=10.834, P＜0.01). The 5-year abnormal rates of overweight, UA, TG, and high-density lipoprotein cholesterol in males were higher than those in females (all P＜0.05). From 2016 to 2020, there were significant differences in the abnormal rates of fasting blood glucose (FBG) and LDL-C among the ＜40, 40-50, and ＞50 years old groups (all P＜0.01), the abnormal rate of FBG was the highest in the ＞ 50 years old group in 5 years, and the abnormal rate of LDL-C in the ＞50 years old group was the highest from 2017 to 2020. The difference in the overweight rate among the 40, 40-50, and ＞50 years old groups in 2020 was significant (P＜0.01), and the ＞50 years old group had the highest overweight rate. Conclusion The changes of metabolic indexes of military medical personnel have certain group characteristics, and gender and age have impacts on the abnormal rates of metabolic indexes. |
| Key words: military personnel medical staff population characteristics metabolism health status |
