Journal of Shandong University (Health Sciences) ›› 2025, Vol. 63 ›› Issue (7): 82-91.doi: 10.6040/j.issn.1671-7554.0.2025.0116

Previous Articles     Next Articles

Status and influencing factors of health check-up services utilisation among middle-aged and elderly populations with hyperglycaemia, dyslipidaemia, and hypertension in China

WANG Ning1, HAO Xiumei1, NIU Xiang2, HUANG Jinming3, XU Jingya4   

  1. 1. Health Publicity and Education Center of Shandong Province, Jinan 250002, Shandong, China;
    2. Huaiyin District Center for Disease Control and Prevention, Jinan 250021, Shandong, China;
    3. Shandong Center for Disease Control and Prevention, Jinan 250014, Shandong, China;
    4. Nursing Department, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250021, Shandong, China
  • Published:2025-07-08

Abstract: Objective By exploring the current situation of the utilisation of health check-up services and its influencing factors among middle-aged and elderly populations with hyperglycaemia, dyslipidaemia and hypertension in China, to provide evidence to optimise the strategy of “co-management of hyperglycaemia, dyslipidaemia and hypertension”, and reform the health service system. Methods According to the fifth round of national survey data conducted by China Health and Retirement Longitudinal Study(CHARLS)in 2020, a total of 8,227 middle-aged and elderly individuals with hyperglycaemia, dyslipidaemia, and hypertension were selected as the study populations. The analysis of the utilisation of health check-up services among these populations was conducted utilising the chi-square test and multivariate logistic regression based on the Anderson model framework. Results Among middle-aged and elderly individuals with hyperglycaemia, dyslipidaemia, and hypertension, utilisation rate of health check-up was 54.13%. The results of multivariate logistic regression analysis showed that: age(≥65 years old: OR=2.024, 95%CI=1.831-2.236, P<0.001), education level(senior high school and above: OR=1.303, 95%CI=1.123-1.511, P<0.001), personal income(have: OR=1.440, 95%CI=1.285-1.614, P<0.001), type of endowment insurance(enterprise employee endowment insurance: OR=0.655, 95%CI=0.516-0.833, P<0.001; urban resident/urban and rural resident endowment insurance: OR=0.633, 95%CI=0.493-0.813, P<0.001; new rural social endowment insurance: OR=0.602, 95%CI=0.466-0.778, P<0.001; other endowment insurance: OR=0.549, 95%CI=0.390-0.772, P<0.001; no endowment insurance: OR=0.473, 95%CI=0.361-0.619, P<0.001), type of medical insurance(new rural cooperative medical insurance/ other medical insurance/ no medical insurance: OR=0.834, 95%CI=0.726-0.959, P=0.011), depression status(yes:OR=0.885, 95%CI=0.804-0.975, P=0.014), number of chronic diseases(2 types: OR=1.158, 95%CI=1.004-1.337, P=0.045; 3 types: OR=1.273,95%CI=1.099-1.475, P=0.001; ≥4 types: OR=1.282, 95%CI=1.117-1.472, P<0.001), social contacts(yes:OR=1.396, 95%CI=1.274-1.530, P<0.001), utilization of inpatient services(yes/demand: OR=1.207, 95%CI:1.080-1.348, P<0.001), alcohol consumption(OR=1.127, 95%CI=1.019-1.246, P=0.020), and smoking behavior(OR=0.761, 95%CI=0.681-0.849, P<0.001)were the primary factors influencing the utilisation of health check-up services. Conclusion The utilization rate of health check-up services among middle-aged and elderly individuals with hyperglycaemia, dyslipidaemia, and hypertension in China requires improvement. It is recommended to implement flexible health check-up subsidies for individuals aged 45-64 years, promote reimbursement of health check-up fees through health insurance, and alleviate the financial burden on impoverished populations. Furthermore, the integration of medical care and prevention should be strengthened, with innovative technologies employed to simplify health check-up processes. The enhancement of policies pertaining to the prevention and control of chronic diseases, in conjunction with health education, is of paramount importance in enhancing residents health literacy and adherence to health management. The development of targeted intervention programmes is imperative for individuals with low income, low educational attainment, and depression status, with the objective of promoting the prevention and management of chronic diseases at an earlier stage and facilitating healthy ageing.

Key words: Middle-aged and elderly individuals, Hyperglycaemia, Dyslipidaemia, Hypertension, Utilisation of health check-up services, Influencing factors

CLC Number: 

  • R195.4
[1] Zhou MG, Wang HD, Zeng XY, et al. Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017[J]. The Lancet, 2019, 394(10204):1145-1158.
[2] 王克芳, 吴臣. 慢性病管理依从问题研究的困境及“破局”思路[J]. 山东大学学报(医学版), 2021, 59(9): 124-129. WANG Kefang, WU Chen. Dilemmas and thoughts on solutions of adherence to chronic disease management[J]. Journal of Shandong University(Health Sciences), 2021, 59(9): 124-129.
[3] 国务院办公厅. 国务院办公厅关于印发中国防治慢性病中长期规划(2017—2025年)的通知[EB/OL].(2017-02-14)[2025-03-11].https://www.gov.cn/zhengce/zhengceku/2017-02/14/content_5167886.htm
[4] 国家心血管病中心. 中国心血管健康与疾病报告-2019[M]. 北京: 科学出版社, 2021: 60-77.
[5] 潘晔, 刘志辉, 胡倩倩, 等. 中国老年人慢性病多病共存模式的研究[J]. 中国全科医学, 2023, 26(29): 3608-3615. PAN Ye, LIU Zhihui, HU Qianqian, et al. Patterns of coexistence of multiple chronic conditions among Chinese elderly[J]. Chinese General Practice, 2023, 26(29): 3608-3615.
[6] 国家卫生健康委员会.健康中国行动(2019—2030年)[EB/OL].(2019-07-09)[2025-01-27].https://www.gov.cn/xinwen/2019-07/15/content_5409694.htm
[7] Liss DT, Uchida T, Wilkes CL, et al. General health checks in adult primary care: a review[J]. JAMA, 2021, 325(22): 2294-2306.
[8] 苗艳青, 张并立. 慢性病预防性健康体检的投入产出分析[J]. 中国卫生政策研究, 2020, 13(5): 19-25. MIAO Yanqing, ZHANG Bingli. Input-output analysis on chronic diseases preventive health examination[J]. Chinese Journal of Health Policy, 2020, 13(5): 19-25.
[9] 马超, 赵双雨, 唐润宇. 上医治未病: 免费体检计划对老年人医疗服务与健康福利的影响[J]. 管理世界, 2023, 39(12):144-166.
[10] 刘东阳, 杜启霞, 刘瑞雪, 等. 江苏某县农村老年人健康体检影响因素的多值定性比较分析[J]. 现代预防医学, 2021, 48(15): 2759-2763. LIU Dongyang, DU Qixia, LIU Ruixue, et al. A multi-valuve qualitative comparative analysis on the influencing factors of health examination for rural elderly in a county of Jiangsu[J]. Modern Preventive Medicine, 2021, 48(15): 2759-2763.
[11] 国家卫生健康委统计信息中心. 2018年全国第六次卫生服务统计调查报告[M]. 北京: 人民卫生出版社, 2021: 301-302.
[12] 李东旭, 张苇乐, 李汇波, 等. 健康体检对慢性病患者住院服务利用的影响分析[J]. 现代预防医学, 2024, 51(6): 1036-1043. LI Dongxu, ZHANG Weile, LI Huibo, et al. Impacts of health checkups on the utilization of inpatient services for patients with chronic diseases[J]. Modern Preventive Medicine, 2024, 51(6): 1036-1043.
[13] Alemu AT, Bogale EK, Bogale SK, et al. Patient satisfaction and associated factors with inpatient health ser-vices at public hospitals in Ethiopia: a systematic review and meta-analysis[J]. BMC Health Serv Res, 2024, 24(1): 1042. doi:10.1186/s12913-024-11552-5
[14] 赵子寅, 张佳军, 孙文俊, 等. 中国老年人躯体慢性病共病的复杂模式及其对卫生服务利用影响研究[J].中国全科医学, 2024, 27(20): 2498-2504. ZHAO Ziyin, ZHANG Jiajun, SUN Wenjun, et al. complex pattern of multiple chronic physical conditions and its effect on healthcare utilization among older adults in China[J]. Chinese General Practice, 2024, 27(20): 2498-2504.
[15] Joh HK, Kwon H, Son KY, et al. Trends in underweight and severe underweight disparities in Korean adults and older adults: a nationwide, repeated cross-sectional study[J]. J Nutr Health Aging, 2024, 28(4): 100185. doi:10.1016/j.jnha.2024.100185
[16] 张群芳, 何怀阳, 杨超, 等. 南昌市退休职工高血压检出情况及其危险因素分析[J]. 中国公共卫生, 2020, 36(11): 1633-1635. ZHANG Qunfang, HE Huaiyang, YANG Chao, et al. Detection rate and risk factors of hypertension among retired workers in Nanchang city[J]. Chinese Journal of Public Health, 2020, 36(11): 1633-1635.
[17] Yasuda K, Tomoda S, Suzuki M, et al. Comprehensive health assessment using risk prediction for multiple diseases based on health checkup data[J]. AJPM Focus, 2024, 3(6): 100277. doi:10.1016/j.focus.2024.100277
[18] Cam Huong NT, Van Luu N, Nam NH, et al. Prevalence of hepatitis B virus infection in health checkup participants: a cross-sectional study at University Medical Center, Ho Chi Minh City, Vietnam[J]. Hosp Pract, 2023, 51(3): 163-167.
[19] Goto E, Ishikawa H, Okuhara T, et al. Factors associated with adherence to recommendations for medical visits following annual health checkups among Japanese employees: a prospective cohort study[J]. Prev Med Rep, 2023, 37: 102565. doi:10.1016/j.pmedr.2023.102565
[20] Qian YY, Gao JM, Zhou ZL, et al. An equity analysis of health examination service utilization by women from underdeveloped areas in western China[J]. PLoS One, 2017, 12(10): e0186837. doi:10.1371/journal.pone.0186837
[21] Yeo S, Stewart HLN, Mohan R, et al. “Nobody does checkups back there”: a qualitative study of refugees healthcare needs in the United States from stakeholders perspectives[J]. PLoS One, 2024, 19(6): e0303907. doi:10.1371/journal.pone.0303907
[22] Zhao YH, Hu YS, Smith JP, et al. Cohort profile: the China health and retirement longitudinal study(CHARLS)[J]. Int J Epidemiol, 2014, 43(1): 61-68.
[23] 赵耀辉, 陈欣欣, 王亚峰, 等. 中国健康与养老追踪调查第五轮(2022)用户手册[Z].北京大学国家发展研究院, 2023.
[24] 赵靓, 杜芳, 张小雨, 等. 深圳市养老机构失能老人医疗护理服务利用现状及影响因素分析[J]. 中国卫生经济, 2023, 42(8): 66-69. ZHAO Liang, DU Fang, ZHANG Xiaoyu, et al. Status quo and influencing factors of the medical service utilization among disabled elderly in nursing homes of Shenzhen[J]. Chinese Health Economics, 2023, 42(8): 66-69.
[25] Zhao YW, Haregu TN, He L, et al. The effect of multimorbidity on functional limitations and depression amongst middle-aged and older population in China: a nationwide longitudinal study[J]. Age Ageing, 2021, 50(1): 190-197.
[26] 韩磊娟, 欧阳伟. 老年人居家和社区养老服务利用影响因素研究: 基于CHARLS数据的实证分析[J]. 中国卫生政策研究, 2023, 16(8): 16-23. HAN Leijuan, OUYANG Wei. Study on the influencing factors of the elderlys utilization of home and community care services: an empirical analysis based on CHARLS data[J]. Chinese Journal of Health Policy, 2023, 16(8): 16-23.
[27] Zhou ZL, Yu Y, Zhou RZ, et al. Associations between sleep duration, midday napping, depression, and falls among postmenopausal women in China: a population-based nationwide study[J]. Menopause, 2021, 28(5): 554-563.
[28] 高川, 李庆印, 柯丹丹, 等. 中国≥45岁人群健康体检服务利用情况: 一项基于CHARLS 2018的全国横断面调查[J]. 中国全科医学, 2024, 27(10): 1179-1185. GAO Chuan, LI Qingyin, KE Dandan, et al. The utilization of health checkup services among people aged 45 and above in China:a national cross-sectional survey based on CHARLS 2018[J]. Chinese General Practice, 2024, 27(10): 1179-1185.
[29] 魏萱, 魏颖, 王宁, 等. 我国中老年人健康体检服务利用现状及影响因素分析[J]. 中国初级卫生保健, 2024, 38(6): 6-10. WEI Xuan, WEI Ying, WANG Ning, et al. Analysis of the current situation and influencing factors of the utilization of health examination services for middle-aged and elderly people in China[J]. Chinese Primary Health Care, 2024, 38(6): 6-10.
[30] 胡曦元, 崔文, 郭超. 中国中老年居民体检情况及其前倾、使能、需求、健康行为影响因素分析[J]. 中国公共卫生, 2022, 38(10): 1253-1257. HU Xiyuan, CUI Wen, GUO Chao. Analysis on physical examination status and its predisposing, enabling, need and healty behavioral influencing factors among middle-aged and older Chinese residents[J]. Chinese Journal of Public Health, 2022, 38(10): 1253-1257.
[31] 赵鹏宇, 尤莉莉, 刘远立. 基于Donabedian质量理论国家基本公共卫生服务项目实施效果评价[J]. 中国公共卫生, 2020, 36(5): 814-818. ZHAO Pengyu, YOU Lili, LIU Yuanli. Effectiveness of basic public health services project in China: a Donabedian theory-based evaluation[J]. Chinese Journal of Public Health, 2020, 36(5): 814-818.
[32] 王辛, 郭丹, 梁佳瑞, 等. 社会资本对老年人健康促进行为的影响[J]. 山东大学学报(医学版), 2021, 59(7): 97-103, 124. WANG Xin, GUO Dan, LIANG Jiarui, et al. Impact of social capital on health promotion behaviors of the elderly[J]. Journal of Shandong University(Health Sciences), 2021, 59(7): 97-103, 124.
[33] 温兴祥, 吕文慧. 有偏健康感知对中老年人自我医疗使用的影响: 基于CHARLS微观数据的实证研究[J]. 中国经济问题, 2024(5): 164-179. WEN Xingxiang, LV Wenhui. The effect of biased health perception on self-health care utilization among middle aged and elderly: evidence from China[J]. China Economic Studies, 2024(5): 164-179.
[34] 王晓璇, 朱高培, 孙娜, 等. 东明县三春集镇贫困人群健康状况及影响因素分析[J]. 山东大学学报(医学版), 2021, 59(1): 108-114. WANG Xiaoxuan, ZHU Gaopei, SUN Na, et al. Analysis on the health status and influencing factors of poor people in Sanchunji County of Dong Ming[J]. Journal of Shandong University(Health Sciences), 2021, 59(1): 108-114.
[35] Zhu L, Peng MY, Jiang LY, et al. Inequality of opportunity in health service utilization among middle-aged and elderly community-dwelling adults in China[J]. Arch Public Health, 2023, 81(1): 13. doi:10.1186/s13690-022-01010-1
[36] Qin SR, Cheng YN, Zhang HJ, et al. Home/community-based medical and elderly care services utilization in China: a cross-sectional study from the middle-aged and elderly population[J]. Healthcare, 2023, 11(17): 2431.
[37] 汤淑女, 尹香君, 崔丽嘉, 等. 基于Blinder-Oaxaca分解分析的中国城乡居民体检服务利用差异研究[J]. 中国慢性病预防与控制, 2023, 31(6):433-437,443. TANG Shunü,YIN Xiangjun, CUI Lijia, et al. Study of urban-rural difference in health physical examination service utilization among residents(≥40 years old)in China on Blinder-Oaxaca decomposition analysis[J]. Chinese Journal of Prevention and Control of Chronic Diseases, 2023, 31(6): 433-437, 443.
[38] 李安琪, 陈鸣声, 王中华. 中老年慢性病人群卫生服务未利用状况及公平性研究[J]. 中国全科医学, 2019, 22(22): 2728-2734. LI Anqi, CHEN Mingsheng, WANG Zhonghua. Status and equity analysis of nonuse of health services in middle-aged and elderly chronic disease people[J]. Chinese General Practice, 2019, 22(22): 2728-2734.
[39] Finkelstein DM, Harding JF, Paulsell D, et al. Economic well-being and health: the role of income support programs in promoting health and advancing health equity[J]. Health Aff, 2022, 41(12): 1700-1706.
[40] 程亚林, 代涛, 郑英, 等. 经济支持对我国老年人医疗卫生服务利用的影响:基于健康状况的中介效应[J]. 中国卫生事业管理, 2024, 41(4): 405-409. CHENG Yalin, DAI Tao, ZHENG Ying, etal. Study on the impact of financial support on the utilization of healthcare services among the elderly in China based on the mediating effects of health status[J]. Chinese Health Service Management, 2024, 41(4):405-409.
[41] 周钦, 田森, 王梦潇, 等. 农村社会养老保险对居民健康行为影响的理论和实证研究[J]. 保险研究, 2024, 439(11): 96-112. ZHOU Qin, TIAN Sen, WANG Mengxiao, et al. Theoretical and empirical analysis on the effect of social pension program on health behavior in rural China[J]. Insurance Studies, 2024, 439(11): 96-112.
[42] 夏会珍, 王亚柯. 中国老年人收入的结构特征——兼论养老保险对老年人收入的影响[J]. 上海对外经贸大学学报, 2024, 31(5): 36-48. XIA Huizhen, WANG Yake. The structural characteristics and influencing factors of income of Chinese elderly people[J]. Journal of Shanghai University of International Business and Economics, 2024, 31(5): 36-48.
[43] 吕守军, 孙健. 城乡居民基本医疗保险与中老年人社会适应能力[J]. 上海经济研究, 2021, 33(10): 24-37. LYU Shoujun, SUN Jian. Urban and rural resident basic medical insurance and social adaptability of middle-aged and older adults[J]. Shanghai Journal of Economics, 2021, 33(10): 24-37.
[44] 刘新雨, 王权, 琚号杰, 等. 认知功能在老年人社会资本与身体功能健康间的中介作用[J]. 山东大学学报(医学版), 2021, 59(11): 100-107. LIU Xinyu, WANG Quan, JU Haojie, et al. Mediating effect of cognition on the relationship between social capital and functional health of elderly people[J]. Journal of Shandong University(Health Sciences), 2021, 59(11): 100-107.
[45] 胡月. 基于健康信念模型的老年人健康管理体检服务利用影响因素分析[D]. 合肥: 安徽医科大学, 2022.
[1] WUYi-Na, GE Zhi-Ming, LI Fang, HE Hong, JIANG Hong, ZHANG Yun. Expressions of angiotensin converting enzyme 2 mRNA and protein in the kidneys in spontaneously hypertensive rats [J]. JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES), 2209, 47(6): 5-.
[2] ZHANG Yongyuan, WANG Qingliang, LIAN Xuehong. Structural changes and influencing factors of hospitalization expenses for rare diseases patients in a tertiary general hospital in Shandong Province [J]. Journal of Shandong University (Health Sciences), 2025, 63(5): 111-119.
[3] CHEN Yingyi, YOU Qian, WANG Yi, ZHANG Fan, LI Feng, JI Shuming, XU Haoyuan, RAO Zhiyong. Development and validation of a prediction model for muscle mass loss in office workers [J]. Journal of Shandong University (Health Sciences), 2025, 63(4): 26-35.
[4] WANG Rui, YU Kang, LIU Yanping. Research advances in Vitamin K2 and pregnancy-related diseases [J]. Journal of Shandong University (Health Sciences), 2024, 62(8): 9-17.
[5] LIU Feng, MA Caixia, LI Chunyan, CHENG Haiying, JIN Leyu, LIU Zhong, LI Xuewen. Incidence and influencing factors of influenza-like illness among college students in Jinan during the influenza peak period in November 2023 [J]. Journal of Shandong University (Health Sciences), 2024, 62(7): 91-97.
[6] ZHAO Zihui, WANG Xuyang, ZHANG Peng, FANG Ningning, SHI Duanbo, YANG Fan, YANG Xiaomei, WU Jianbo. Rapid and accurate assessment of pulmonary hypertension in rats via diaphragmatic puncture method [J]. Journal of Shandong University (Health Sciences), 2024, 62(2): 20-28.
[7] JING Rui, ZHANG Wenqian, DONG Hui, DONG Yiran, YU Shengnan, DUAN Yong, YAN Qin, ZHAO Chuanlu, LI Xiujun, WANG Weibing. Current status of tuberculosis prevention and control knowledge, attitude and practice and the influencing factors of behavior among freshmen in colleges and universities in Jinan, Shandong Province [J]. Journal of Shandong University (Health Sciences), 2024, 62(2): 101-107.
[8] FENG Xuqiang, GAO Ping, SUN Chao, TAO Lin,YAN Genquan, LENG Bing. Clinical efficacy and influencing factors of tigecycline in treatment of infectious diseases [J]. Journal of Shandong University (Health Sciences), 2024, 62(12): 11-20.
[9] YU Feiping, LI Xin, SI Mingshu, ZHANG Dan, SU Yonggang. Medical college students knowledge of the integrated elderly care and medical services, and their employment willingness to elderly care [J]. Journal of Shandong University (Health Sciences), 2024, 62(11): 105-114.
[10] YU Qingqing, CHANG Kaifeng, LI Jiqing, ZHANG Kai, FU Ping,LIU Xiaowen, ZHAO Yingqi, XUE Fuzhong. Mediation effects of hypertension on the association between exposure to non-steroidal anti-inflammatory drugs and risk of cardio-cerebrovascular diseases in middle-aged and elderly people [J]. Journal of Shandong University (Health Sciences), 2023, 61(8): 79-85.
[11] LIU Fengqi, GAO Feng, XUE Caicai, QIAO Xiumei, WANG Jinhong. Influencing factors of PC12 cell injury induced by high glucose and the protective effects of catalpol [J]. Journal of Shandong University (Health Sciences), 2023, 61(7): 34-39.
[12] HAN Luyi, TIAN Xueying, GAO Qi, SHE Kaili, CAO Yunxian, WEI Shushu, Ding Shujun, LI Xiujun. MaxEnt modeling to analyze influencing factors of severe fever with thrombocytopenia syndrome and predict the potential distribution in Shandong Province [J]. Journal of Shandong University (Health Sciences), 2023, 61(4): 103-110.
[13] ZHENG Liang, SUN Minghao, SHI Yuan, YU Shengnan, WANG Zhiqiang, LI Xiujun. Spatio-temporal distribution and influencing factors of hantavirus hemorrhagic fever with renal syndrome in Shandong Province, 2011—2019 [J]. Journal of Shandong University (Health Sciences), 2023, 61(11): 104-110.
[14] JIANG Lili, CHEN Peng, XU Xinyang, ZHANG Xiaorong, MENG Qiuyu, QI Dong, YANG Chuanjing, WU Qian. Glove perforation and its influencing factors in 141 cases of subgingival scaling [J]. Journal of Shandong University (Health Sciences), 2023, 61(10): 83-87.
[15] HAN Mei, MENG Weijing, TAO Zikun, YANG Xi, XU Yaqi, MU Huaxia, BU Weixiao, WANG Suzhen, SHI Fuyan. Causal mediation analysis with multiple-mediator of hypertension and depression between type 2 diabetes mellitus and cognitive function based on G-computation [J]. Journal of Shandong University (Health Sciences), 2023, 61(10): 101-108.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!