Journal of Peking University(Health Sciences) ›› 2015, Vol. 47 ›› Issue (3): 431-436. doi: 10.3969/j.issn.1671-167X.2015.03.012

• Articles • Previous Articles     Next Articles

Relationship between brachial-ankle pulse wave velocity and glycemic control of type 2 diabetes mellitus patients in Beijing community population

SUN Ke-xin1, LIU Zhi-ke1, CAO Ya-ying1, JUAN Juan1, XIANG Xiao1, YANG Cheng1, HUANG Shao-ping2, LIU Xiao-fen2, LI Na3, TANG Xun1, LI Jin1, WU Tao1, CHEN Da-fang1, HU Yong-hua1△   

  1. (1. Department of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China; 2. Fangshan District Center for Disease Control and Prevention, Beijing 102401, China; 3. Fangshan District Science and Techology Commission, Beijing 102488, China)
  • Online:2015-06-18 Published:2015-06-18

Abstract: Objective:To explore the correlation between glycemic control of type 2 diabetes mellitus (T2DM) patients and brachial-ankle pulse velocity (baPWV). Methods: A community-based cross-sectional study was conducted in Beijing, China. Every subject underwent physical examinations, glycated hemoglobin (HbA1c), blood lipid and baPWV measurements and completed a standardized questionnaire. T2DM patients were divided into well controlled and poorly controlled groups according to HbA1c levels. The correlation between glycemic control of T2DM patients and baPWV was analyzed. Results: In this study, 1 341 subjects were recruited, including 733 T2DM patients and 608 non-diabetes subjects. Compared with non-diabetes subjects, abnormal baPWV (baPWV≥1 700 cm/s) rate for T2DM patients was higher (40.8% vs. 26.8%, P<0.001). With HbA1c<6.5% or <7.0% as the aim of glycemic control in T2DM patients, the abnormal baPWV rates for non-diabetes subjects, well controlled and poorly controlled T2DM patients were significantly different (non-diabetes vs. HbA1c<6.5% T2DM vs. HbA1c≥6.5% T2DM: 26.8% vs. 32.8% vs. 42.6%, P<0.001; non-diabetes vs. HbA1c<7.0% T2DM vs. HbA1c≥7.0% T2DM: 26.8% vs. 36.1% vs. 43.4%, P<0.001). After being adjusted for gender, age, smoking status, diabetes mellitus family history, T2DM duration, cardiovascular diseases (CVD), waist hip ratio (WHR), systolic blood pressure (SBP), diastolic blood pressure (DBP), total triglycerides (TG), high density lipoprotein cholesterol (HDL-C), and low density lipoprotein cholesterol (LDL-C), the Logistic regression models suggested that glycemic control status of T2DM patients was associated with abnormal baPWV. Compared with non-diabetes subjects, the ORs for abnormal baPWV in HbA1c<6.5% T2DM patients and HbA1c≥6.5% T2DM patients were 0.927(95%CI 0.560-1.537) and 1.826 (95%CI 1.287-2.591). Compared with non-diabetes subjects, the ORs for abnormal baPWV in HbA1c<7.0% T2DM patients and HbA1c≥7.0% T2DM patients were 1.210 (95%CI 0.808-1.811) and 1.898 (95%CI 1.313-2.745). Conclusion:The glycemic control status of T2DM patients from communities is significantly associated with baPWV. Poor glycemic control is a risk factor for abnormal baPWV. Keeping HbA1c under control might lower the risk of cardiovascular diseases in T2DM patients.

Key words: Brachial-ankle pulse wave velocity, Diabetes mellitus, type 2, Blood glucose, Hemoglobin A, glycosylated, Arteriosclerosis

CLC Number: 

  • R781.64

[1] Yujia MA,Ranli LU,Zechen ZHOU,Xiaoyi LI,Zeyu YAN,Yiqun WU,Dafang CHEN. Association between insomnia and type 2 diabetes: A two-sample Mendelian rando-mization study [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 174-178.
[2] Lei BAO,Xia-xia CAI,Ming-yuan ZHANG,Lei-lei REN. Effect of vitamin D3 on mild cognitive impairment in type 2 diabetic mice and its possible mechanism [J]. Journal of Peking University (Health Sciences), 2023, 55(4): 587-592.
[3] Xiao-yue ZHANG,Yu-xin LIN,Ying JIANG,Lan-chao ZHANG,Mang-yan DONG,Hai-yi CHI,Hao-yu DONG,Li-jun MA,Zhi-jing LI,Chun CHANG. Mediating effect of self-efficacy on self-management ability and self-management behavior in patients with type 2 diabetes mellitus [J]. Journal of Peking University (Health Sciences), 2023, 55(3): 450-455.
[4] Huan YU,Ruo-tong YANG,Si-yue WANG,Jun-hui WU,Meng-ying WANG,Xue-ying QIN,Tao WU,Da-fang CHEN,Yi-qun WU,Yong-hua HU. Metformin use and risk of ischemic stroke in patients with type 2 diabetes: A cohort study [J]. Journal of Peking University (Health Sciences), 2023, 55(3): 456-464.
[5] Jin-man ZHUANG,Tian-run LI,Xuan LI,Jing-yuan LUAN,Chang-ming WANG,Qi-chen FENG,Jin-tao HAN. Application of Rotarex catheter system in femoropopliteal artery stenosis accompanied with thrombosis [J]. Journal of Peking University (Health Sciences), 2023, 55(2): 328-332.
[6] WU Jun-hui,WU Yi-qun,WU Yao,WANG Zi-jing,WU Tao,QIN Xue-ying,WANG Meng-ying,WANG Xiao-wen,WANG Jia-ting,HU Yong-hua. Incidence and risk factors of ischemic stroke in patients with type 2 diabetes among urban workers in Beijing, China [J]. Journal of Peking University (Health Sciences), 2022, 54(2): 249-254.
[7] XU Xin-ran,HUO Peng-cheng,HE Lu,MENG Huan-xin,ZHU Yun-xuan,JIN Dong-si-qi. Comparison of initial periodontal therapy and its correlation with white blood cell level in periodontitis patients with or without diabetes mellitus [J]. Journal of Peking University (Health Sciences), 2022, 54(1): 48-53.
[8] YIN Xue-qian, ZHANG Xiao-xuan, WEN Jing, LIU Si-qi, LIU Xin-ran, ZHOU Ruo-yu, WANG Jun-bo. Effects of the composite of buckwheat-oat-pea on blood glucose in diabetic rats [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 447-452.
[9] GUO Hong-ping,ZHAO Ai,XUE Yong,MA Liang-kun,ZHANG Yu-mei,WANG Pei-yu. Relationship between nutrients intake during pregnancy and the glycemic control effect in pregnant women with gestational diabetes mellitus [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 467-472.
[10] WU Jun-hui,CHEN Hong-bo,WU Yi-qun,WU Yao,WANG Zi-jing,WU Tao,WANG Meng-ying,WANG Si-yue,WANG Xiao-wen,WANG Jia-ting,YU Huan,HU Yong-hua. Prevalence and risk factors of osteoarthritis in patients with type 2 diabetes in Beijing, China from 2015 to 2017 [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 518-522.
[11] FAN Li-shi,GAO Min,Edwin B. FISHER,SUN Xin-ying. Factors associated with quality of life in 747 patients with type 2 diabetes in Tongzhou District and Shunyi District of Beijing [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 523-529.
[12] CHEN Ping,LI Ze-ming,GUO Yi,SUN Xin-ying,Edwin B. FISHER. To explore medication adherence of patients with type 2 diabetes mellitus using the latent profile analysis based on the Big Five personality theory [J]. Journal of Peking University (Health Sciences), 2021, 53(3): 530-535.
[13] Hong-yu GAO,Jing-ling XU,Huan-xin MENG,Lu HE,Jian-xia HOU. Effect of initial periodontal therapy on blood parameters related to erythrocyte and platelet in patients with type 2 diabetes mellitus and chronic periodontitis [J]. Journal of Peking University (Health Sciences), 2020, 52(4): 750-754.
[14] Ze-ming LI,Min GAO,Xue-ying CHEN,Xin-ying SUN. Relationship between the five-factor model of personality traits and self-management attitude of patients with type 2 diabetes [J]. Journal of Peking University (Health Sciences), 2020, 52(3): 506-513.
[15] Jiao HE,Ge-heng YUAN,Jun-qing ZHANG,Xiao-hui GUO. Approach to creating early diabetic peripheral neuropathy rat model [J]. Journal of Peking University(Health Sciences), 2019, 51(6): 1150-1154.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!