Prevalence, Awareness, Treatment and Control of Diabetes Mellitus in a Chinese Population

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2016 Apr 21

PMID 27096738

Citations 22

Authors

Jiqiang Yue

Xuhua Mao

Kun Xu

Lingshuang Lu

Sijun Liu

Feng Chen

Jianming Wang

Affiliations

Soon will be listed here.

Abstract

Objective: The purpose of this study is to evaluate the prevalence, awareness, treatment and glycemic control of diabetes mellitus (DM) in a Chinese population. The findings from this study are expected to offer scientific evidence to better prevent and control the growing number of reported and untreated cases.

Methods: A cross-sectional survey was conducted in Jiangsu, China. We recruited permanent residents over 18 years of age from eight towns in Jintan (JT) and six towns in Yangzhong (YZ) using a three-stage stratified cluster sampling method. The rates of DM prevalence, awareness, treatment and control as well as their related factors were analyzed.

Results: A total number of 15,404 people were entered into the analysis. The DM prevalence, awareness, treatment and control rates were 7.31%, 58.35%, 51.87% and 14.12%, respectively. Multivariable logistic regression analysis showed that being female was positively related to prevalence (OR=1.21, 95% CI: 1.07-1.37), awareness (OR=1.52, 95% CI: 1.19-1.93), treatment (OR=1.48, 95% CI: 1.17-1.88) and control (OR=1.87, 95% CI: 1.30-2.67) of DM. Having a family history of diabetes was significantly correlated with DM risk (OR=1.86, 95% CI: 1.37-2.54) and increased awareness (OR=3.12, 95% CI: 2.19-4.47), treatment (OR=3.47, 95% CI: 2.45-4.90) and control (OR=1.81, 95% CI: 1.22-2.68) of DM. Former smoking status (OR=1.82, 95% CI: 1.23-2.71), overweight (OR=2.11, 95% CI: 1.72-2.60) and obesity (OR=3.46, 95% CI: 2.67-4.50) were related to the risk of DM. Additionally, we found current drinking status to be positively correlated with DM risk (OR=1.30, 95% CI: 1.01-1.66) and negatively correlated with DM awareness (OR=0.41, 95% CI: 0.29-0.59) and treatment (OR=0.41, 95% CI: 0.29-0.59). Our study highlights the high prevalence and inadequate awareness, treatment and control of DM in the Chinese population.

Conclusions: Management and prevention of DM-related complications should be considered an essential strategy by governments and society. This study assessed the reasons why DM has been increasing and established the first step in determining where to start regarding preventative methods.

Citing Articles

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References

Hu D, Fu P, Xie J, Chen C, Yu D, Whelton P . Increasing prevalence and low awareness, treatment and control of diabetes mellitus among Chinese adults: the InterASIA study. Diabetes Res Clin Pract. 2008; 81(2):250-7. DOI: 10.1016/j.diabres.2008.04.008. View

Hu H, Sawhney M, Shi L, Duan S, Yu Y, Wu Z . A systematic review of the direct economic burden of type 2 diabetes in china. Diabetes Ther. 2015; 6(1):7-16. PMC: 4374079. DOI: 10.1007/s13300-015-0096-0. View

Rampal S, Rampal L, Rahmat R, Zain A, Yap Y, Mohamed M . Variation in the prevalence, awareness, and control of diabetes in a multiethnic population: a nationwide population study in Malaysia. Asia Pac J Public Health. 2009; 22(2):194-202. DOI: 10.1177/1010539509334816. View

Hu D, Sun L, Fu P, Xie J, Lu J, Zhou J . Prevalence and risk factors for type 2 diabetes mellitus in the Chinese adult population: the InterASIA Study. Diabetes Res Clin Pract. 2009; 84(3):288-95. DOI: 10.1016/j.diabres.2009.02.021. View

Wang C, Yu Y, Zhang X, Li Y, Kou C, Li B . Awareness, treatment, control of diabetes mellitus and the risk factors: survey results from northeast China. PLoS One. 2014; 9(7):e103594. PMC: 4113441. DOI: 10.1371/journal.pone.0103594. View

Kemp T, Barr E, Zimmet P, Cameron A, Welborn T, Colagiuri S . Glucose, lipid, and blood pressure control in Australian adults with type 2 diabetes: the 1999-2000 AusDiab. Diabetes Care. 2005; 28(6):1490-2. DOI: 10.2337/diacare.28.6.1490. View

Gupta A, Gupta R, Sharma K, Lodha S, Achari V, Asirvatham A . Prevalence of diabetes and cardiovascular risk factors in middle-class urban participants in India. BMJ Open Diabetes Res Care. 2014; 2(1):e000048. PMC: 4256307. DOI: 10.1136/bmjdrc-2014-000048. View

Yang Y, Xie X, Ma Y, Li X, Fu Z, Ma X . Type 2 diabetes in Xinjiang Uygur autonomous region, China. PLoS One. 2012; 7(4):e35270. PMC: 3323648. DOI: 10.1371/journal.pone.0035270. View

Songer T . The economic costs of NIDDM. Diabetes Metab Rev. 1992; 8(4):389-404. DOI: 10.1002/dmr.5610080406. View

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. Lancet. 1998; 352(9131):837-53. View

11.

Danne T, Becker R, Heise T, Bittner C, Frick A, Rave K . Pharmacokinetics, prandial glucose control, and safety of insulin glulisine in children and adolescents with type 1 diabetes. Diabetes Care. 2005; 28(9):2100-5. DOI: 10.2337/diacare.28.9.2100. View

12.

Ades P . A lifestyle program of exercise and weight loss is effective in preventing and treating type 2 diabetes mellitus: Why are programs not more available?. Prev Med. 2015; 80:50-2. PMC: 4581884. DOI: 10.1016/j.ypmed.2015.03.014. View

13.

Yang W, Lu J, Weng J, Jia W, Ji L, Xiao J . Prevalence of diabetes among men and women in China. N Engl J Med. 2010; 362(12):1090-101. DOI: 10.1056/NEJMoa0908292. View

14.

King H, Aubert R, Herman W . Global burden of diabetes, 1995-2025: prevalence, numerical estimates, and projections. Diabetes Care. 1998; 21(9):1414-31. DOI: 10.2337/diacare.21.9.1414. View

15.

Zhou B . Effect of body mass index on all-cause mortality and incidence of cardiovascular diseases--report for meta-analysis of prospective studies open optimal cut-off points of body mass index in Chinese adults. Biomed Environ Sci. 2002; 15(3):245-52. View

16.

Chan J, Ng M, Critchley J, Lee S, Cockram C . Diabetes mellitus--a special medical challenge from a Chinese perspective. Diabetes Res Clin Pract. 2001; 54 Suppl 1:S19-27. DOI: 10.1016/s0168-8227(01)00305-9. View

17.

Dajani R, Khader Y, Fatahallah R, El-Khateeb M, Shiyab A, Hakooz N . Diabetes mellitus in genetically isolated populations in Jordan: prevalence, awareness, glycemic control, and associated factors. J Diabetes Complications. 2012; 26(3):175-80. DOI: 10.1016/j.jdiacomp.2012.03.009. View

18.

Rodrigues A, de Cassia da Silva C, Vasques A, Camilo D, Barreiro F, Cassani R . Association of Sleep Deprivation With Reduction in Insulin Sensitivity as Assessed by the Hyperglycemic Clamp Technique in Adolescents. JAMA Pediatr. 2016; 170(5):487-94. DOI: 10.1001/jamapediatrics.2015.4365. View

19.

Kim C, Song Y, Shin J, Gim W . Association between Sleep Duration and Impaired Fasting Glucose in Korean Adults: Results from the Korean National Health and Nutrition Examination Survey 2011-2012. Korean J Fam Med. 2016; 37(1):51-6. PMC: 4754287. DOI: 10.4082/kjfm.2016.37.1.51. View

20.

Sims M, Diez Roux A, Boykin S, Sarpong D, Gebreab S, Wyatt S . The socioeconomic gradient of diabetes prevalence, awareness, treatment, and control among African Americans in the Jackson Heart Study. Ann Epidemiol. 2011; 21(12):892-8. PMC: 3192269. DOI: 10.1016/j.annepidem.2011.05.006. View