Literature DB >> 21606668

Frequency of glycated hemoglobin monitoring was inversely associated with glycemic control of patients with Type 2 diabetes mellitus.

C Fu1, L Ji, W Wang, R Luan, W Chen, S Zhan, B Xu.   

Abstract

BACKGROUND: The frequency of monitoring glycated hemoglobin (HbA(1c)) and its impact on glycemic control of Chinese Type 2 diabetes mellitus (T2DM) patients have not been well understood. AIM: To explore the current status of the glycemic control, the frequency of HbA(1c) monitoring, and their relationship in T2DM outpatients in urban China. SUBJECTS AND METHODS: A cross-sectional study was carried out in 15 hospitals purposely sampled from 4 cities of China. T2DM outpatients were consecutively recruited, and underwent a face-to-face interview in outpatient consulting rooms using a self-developed structured questionnaire to collect information. All consented patients were invited to have a free HbA(1c) test.
RESULTS: Among 1511 subjects, the average level of HbA(1c) was 8.1±1.6% with the ideal percents of 13.6% and 24.8% (HbA(1c)<6.5% and <7.0%, respectively). Less than 1/3 (339/1157) had received 2 or more HbA(1c) tests per yr, and they had a significantly lower average of HbA(1c) than those having only 1 or no test per yr (F=5.012, p=0.007). After adjustment for possible confounders including age, gender, and city, there was a significantly inverse association with adjusted odds ratios of 2.56 [95% confidence interval (CI): 1.71, 3.86] and 1.67 (95% CI: 1.11, 2.50), respectively, between the frequency of monitoring HbA(1c) (null, once vs ≥2 times per yr) and worse glycemic control (HbA(1c)≥7.0%).
CONCLUSIONS: Glycemic control of T2DM outpatients was poor in urban China. Frequency of HbA(1c) monitoring is seriously insufficient in majority of patients. Lower frequency of HbA(1c) monitoring is significantly associated with poor glycemic control.
© 2012, Editrice Kurtis.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21606668     DOI: 10.3275/7743

Source DB:  PubMed          Journal:  J Endocrinol Invest        ISSN: 0391-4097            Impact factor:   4.256


  17 in total

1.  Prevalence of diabetes among men and women in China.

Authors:  Wenying Yang; Juming Lu; Jianping Weng; Weiping Jia; Linong Ji; Jianzhong Xiao; Zhongyan Shan; Jie Liu; Haoming Tian; Qiuhe Ji; Dalong Zhu; Jiapu Ge; Lixiang Lin; Li Chen; Xiaohui Guo; Zhigang Zhao; Qiang Li; Zhiguang Zhou; Guangliang Shan; Jiang He
Journal:  N Engl J Med       Date:  2010-03-25       Impact factor: 91.245

2.  Standards of medical care in diabetes--2006.

Authors: 
Journal:  Diabetes Care       Date:  2006-01       Impact factor: 19.112

3.  [A description on the Chinese national nutrition and health survey in 2002].

Authors:  Li-ming Li; Ke-qin Rao; Ling-zhi Kong; Chong-hua Yao; Hong-ding Xiang; Feng-ying Zhai; Guan-sheng Ma; Xiao-guang Yang
Journal:  Zhonghua Liu Xing Bing Xue Za Zhi       Date:  2005-07

4.  The status of diabetes control in Asia--a cross-sectional survey of 24 317 patients with diabetes mellitus in 1998.

Authors:  L M Chuang; S T Tsai; B Y Huang; T Y Tai
Journal:  Diabet Med       Date:  2002-12       Impact factor: 4.359

5.  Meta-analysis: glycosylated hemoglobin and cardiovascular disease in diabetes mellitus.

Authors:  Elizabeth Selvin; Spyridon Marinopoulos; Gail Berkenblit; Tejal Rami; Frederick L Brancati; Neil R Powe; Sherita Hill Golden
Journal:  Ann Intern Med       Date:  2004-09-21       Impact factor: 25.391

6.  Current practice in the management of patients with type 2 diabetes mellitus in Saudi Arabia.

Authors:  Abdulmohsen H Al-Elq
Journal:  Saudi Med J       Date:  2009-12       Impact factor: 1.484

7.  Assessing the impact of complications on the costs of Type II diabetes.

Authors:  R Williams; L Van Gaal; C Lucioni
Journal:  Diabetologia       Date:  2002-06-12       Impact factor: 10.122

8.  How do type 2 diabetes mellitus-related chronic complications impact direct medical cost in four major cities of urban China?

Authors:  Weibing Wang; Chao Wei Fu; Chang Yu Pan; Weiqing Chen; Siyan Zhan; Rongsheng Luan; Alison Tan; Zhaolan Liu; Biao Xu
Journal:  Value Health       Date:  2009-09       Impact factor: 5.725

9.  Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes (UKPDS 34). UK Prospective Diabetes Study (UKPDS) Group.

Authors: 
Journal:  Lancet       Date:  1998-09-12       Impact factor: 79.321

10.  Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group.

Authors: 
Journal:  Lancet       Date:  1998-09-12       Impact factor: 79.321

View more
  8 in total

1.  Collateral benefits of improving glycemic control on lipids in a diabetic population.

Authors:  Richard E Deichmann; Ronald Chong-Yik; Victoria Aucoin
Journal:  Ochsner J       Date:  2012

2.  Variability in Test Interval Is Linked to Glycated Haemoglobin (HbA1c) Trajectory over Time.

Authors:  Anthony A Fryer; David Holland; Michael Stedman; Christopher J Duff; Lewis Green; Jonathan Scargill; Fahmy W F Hanna; Pensée Wu; R John Pemberton; Christine Bloor; Adrian H Heald
Journal:  J Diabetes Res       Date:  2022-05-16       Impact factor: 4.061

3.  Glycemic control among individuals with self-reported diabetes in India--the ICMR-INDIAB Study.

Authors:  Ranjit Unnikrishnan; Ranjit Mohan Anjana; Mohan Deepa; Rajendra Pradeepa; Shashank R Joshi; Anil Bhansali; Vinay K Dhandania; Prashant P Joshi; Sri Venkata Madhu; Paturi Vishnupriya Rao; Ramakrishnan Lakshmy; Ramamurthy Jayashri; Kaliaperumal Velmurugan; Elangovan Nirmal; Radhakrishnan Subashini; Venkataraman Vijayachandrika; Tanvir Kaur; Deepak Kumar Shukla; Ashok Kumar Das; Viswanathan Mohan
Journal:  Diabetes Technol Ther       Date:  2014-08-07       Impact factor: 6.118

4.  The association of diabetes-related self-care activities with perceived stress, anxiety, and fatigue: a cross-sectional study.

Authors:  Fang-Fang Zhao; Riitta Suhonen; Jouko Katajisto; Helena Leino-Kilpi
Journal:  Patient Prefer Adherence       Date:  2018-09-04       Impact factor: 2.711

5.  Association between diabetes-related self-care activities and positive health: a cross-sectional study.

Authors:  Fang-Fang Zhao; Riitta Suhonen; Jouko Katajisto; Minna Stolt; Helena Leino-Kilpi
Journal:  BMJ Open       Date:  2019-07-09       Impact factor: 2.692

6.  Factors associated with subsequent diabetes-related self-care activities: The role of social support and optimism.

Authors:  FangFang Zhao; Riitta Suhonen; Jouko Katajisto; Helena Leino-Kilpi
Journal:  Nurs Open       Date:  2019-09-27

7.  A comparative analysis and review of how national guidelines for chronic disease monitoring are made in low- and middle-income compared to high-income countries.

Authors:  Elton Mukonda; Maia Lesosky
Journal:  J Glob Health       Date:  2021-09-04       Impact factor: 4.413

8.  Towards Better Test Utilization - Strategies to Improve Physician Ordering and Their Impact on Patient Outcomes.

Authors:  Danielle B Freedman
Journal:  EJIFCC       Date:  2015-01-27
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.