华南预防医学 ›› 2024, Vol. 50 ›› Issue (9): 824-828.doi: 10.12183/j.scjpm.2024.0824

• 论著 • 上一篇    下一篇

天长地区健康体检人群代谢性疾病与慢性肾病共病现状分析

崇晓凤1, 陈天浩1, 宣建宗2, 李贻海3   

  1. 1.天长市人民医院,安徽 滁州 239300;
    2.天长市中医院;
    3.天长市天康医院
  • 收稿日期:2024-02-02 发布日期:2024-10-16
  • 作者简介:崇晓凤(1986—),女,大学本科,主治医师,研究方向:肾脏病的诊治
  • 基金资助:
    2022年滁州市卫生健康科研项目(CZWJ2022C001)

Analysis on the comorbidities of metabolic diseases and chronic nephropathy in physical examination population in Tianchang region

CHONG Xiaofeng1, CHEN Tianhao1, XUAN Jianzong2, LI Yihai3   

  1. 1. Tianchang People's Hospital, Chuzhou, Anhui 239300, China;
    2. Tianchang Hospital of Traditional Chinese Medicine;
    3. Tianchang Tiankang Hospital
  • Received:2024-02-02 Published:2024-10-16

摘要: 目的 调查天长地区健康体检人群代谢性疾病与慢性肾病共病现状并分析相关因素,为对该地区人群开展疾病防控提供依据。方法 采用方便抽样方法纳入天长市人民医院、天长市中医院、天长市天康医院3家医院2022年1—12月进行健康体检的人群为调查对象,收集体检者的体检资料及采用调查问卷收集生活行为习惯等信息,采用描述性方法对其代谢性疾病与慢性肾病共病类型进行分析,采用多因素logistic回归模型分析代谢性疾病与慢性肾病共病发生的影响因素。结果 本次纳入体检者5 512人,其中代谢性疾病患者3 788例,占68.72%;慢性肾病患者662例,占12.01%;代谢性疾病合并慢性肾病共病的患者531例,占9.63%(531/5 512)。多因素logistic回归分析结果显示:年龄(45~<60岁OR=1.480,≥60岁OR=1.223)、BMI(24.0~<30.0 kg/m2 OR=1.065,≥30.0 kg/m2 OR=2.275)、吸烟(OR=1.164)、饮酒(OR=1.126)、居住地(城镇OR=1.365)、睡眠情况(不足OR=1.292)、每日工作时长(>8 h OR=1.201)、每周锻炼情况(0~1次OR=1.553)、肠胃疾病史(OR=1.306)、每周水果摄入(0~1次OR=1.130)、常吃火锅(OR=1.192)、常吃宵夜(OR=1.290)均为影响代谢性疾病合并慢性肾病共病发生的独立影响因素(均P<0.05)。结论 天长地区代谢性疾病与慢性肾病共病的发生率偏高,其中以超重肥胖、高血压和糖尿病3种代谢性疾病合并慢性肾病共病为主要类型,还需加大力度推广饮食指导、运动指导来降低疾病发生率。

关键词: 体检人群, 代谢性疾病, 慢性肾病, 疾病现状, 影响因素

Abstract: Objective To investigate the comorbidities of metabolic diseases and chronic nephropathy in physical examination population in Tianchang region and analyze the related factors, to provide the basis for disease prevention and control in this region. Methods A convenient sampling method was adopted to include the people who underwent physical examination in Tianchang People's Hospital, Tianchang Hospital of Traditional Chinese Medicine, and Tianchang Tiankang Hospital from January to December 2022 for this investigation. The physical examination data and the information of life behaviors and habits of the physical examinees were collected by questionnaires. The types of metabolic diseases and chronic nephropathy comorbidities were analyzed by descriptive method. Multivariate logistic regression was used to analyze the influencing factors of metabolic disease and chronic nephropathy comorbidity. Results A total of 5 512 individuals were included in the health examination, including 3 788 patients with metabolic diseases, accounting for 68.72%; 662 patients with chronic nephropathy, accounting for 12.01%. There were 531 patients with metabolic diseases combined with chronic nephropathy, accounting for 9.63% (531/5 512). Multivariate logistic regression analysis showed that age (OR=1.480 for 45-<60 years old, OR=1.223 for ≥ 60 years old), BMI (OR=1.065 for 24.0-<30.0 kg/m2, OR=2.275 for ≥ 30.0 kg/m2), smoking (OR=1.164), drinking (OR=1.126), place of residence (OR=1.365 for urban areas), sleep status (OR=1.292 for insufficient sleep), daily working hours (OR=1.201 for >8 hours), weekly exercise (OR=1.553 for 0-1 time), history of gastrointestinal diseases (OR=1.306), weekly fruit intake (OR=1.130 for 0-1 time), frequent consumption of hot pot (OR=1.192), and frequent consumption of late night snacks (OR=1.290) were independent influencing factors of comorbidity of metabolic diseases and chronic nephropathy (all P<0.05). Conclusions The incidence of comorbidity of metabolic diseases and chronic nephropathy in this region is relatively high, among which overweight and obesity, hypertension, and diabetes are the main types of comorbidity of metabolic diseases with chronic nephropathy. In clinical practice, more efforts should be made to promote diet guidance and exercise guidance to reduce the incidence.

Key words: Physical examination population, Metabolic disease, Chronic nephropathy, Disease status, Influencing factor

中图分类号: 

  • R194.3