Skip to main content
Erschienen in: BMC Public Health 1/2022

Open Access 01.12.2022 | Research

Prevalence, awareness and control of type 2 diabetes mellitus and risk factors in Chinese elderly population

verfasst von: Yaqiong Yan, Tingting Wu, Miao Zhang, Changfeng Li, Qing Liu, Fang Li

Erschienen in: BMC Public Health | Ausgabe 1/2022

Abstract

Background

Type 2 diabetes mellitus is an expanding global public health issue, especially in developing countries. This study aimed to investigate the prevalence, awareness and control rate of type 2 diabetes mellitus, and assess its risk factors in elderly Chinese individuals.

Methods

The health screening data of 376,702 individuals aged ≥ 65 years in Wuhan, China, were collected to analyse the prevalence, awareness, and control rates of diabetes. Indices, including fasting plasma glucose and other biochemical indicators, were measured for all participants using standard methods at the central laboratory. Multilevel logistic regression analysis was performed to assess the key determinants of the prevalence, awareness, and control rates of diabetes.

Results

The prevalence, awareness, and control rates of diabetes in the Chinese individuals aged ≥ 65 years were 18.80%, 77.14%, and 41.33%, respectively. There were statistically significant differences in the prevalence, awareness, and control rates by gender. Factors associated with diabetes prevalence were age, body mass index (BMI), and central obesity; while those associated with awareness and control were gender, education level, marital status, physical activity, alcohol consumption, BMI, and central obesity.

Conclusions

Diabetes is an important public health problem in the elderly in China. The awareness and control rates have improved, but overall remained poor. Therefore, effective measures to raise awareness and control the rates of diabetes should be undertaken to circumvent the growing disease burden in elderly Chinese people.
Hinweise

Supplementary Information

The online version contains supplementary material available at https://​doi.​org/​10.​1186/​s12889-022-13759-9.
Qing Liu and Fang Li contributed equally to this work and are co-corresponding authors.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
T2DM
Type 2 diabetes mellitus
SD
Standard deviation
BMI
Body mass index
SBP
Systolic blood pressure
DBP
Diastolic blood pressure
WC
Waist circumference
FBG
Fasting plasma glucose
CI
Confidence interval
OR
Odds ratio

Background

With a rapid economic development, dramatic changes in lifestyles, and an aging population, type 2 diabetes mellitus (T2DM) has become a leading public health problem globally, especially in developing countries [13]. According to the latest International Diabetes Federation (IDF), the global prevalence of T2DM in adults was 536.6 million people (10.5%) in 2021, and that there would be 783.2 million people (12.2%) living with diabetes worldwide by 2045 [4]. China, the largest developing country worldwide, contributes to one-fifth of the global population [5], and has shown increased prevalence of diabetes in recent years. A study by Yang et al. in 2007 identified that the prevalence rate of diabetes was 9.7% in 46,239 residents from 14 provinces in China [6]. The latest research data suggests 11% prevalence rate of diabetes in adults in China [7]. Taken together, the prevalence of diabetes is extremely high in China.
The number of individuals aged ≥ 65 years has approached 200 million in China. The results of several epidemiological surveys on prevalence of diabetes in the elderly population show that the individuals aged ≥ 65 years have a higher risk of diabetes than those in other age groups [1], and the incidence of diabetes in the elderly is increasing [8]. Therefore, it is crucial to assess epidemiological characteristics and risk factors of diabetes, and implement selective interventions and management for specific populations.
Studies suggest that severe diabetes can be alleviated with proper management and education [911]. The IDF recommends that the target for glycaemic control in patients with diabetes is fasting plasma glucose (FPG) < 7.0 mmol/L or glycosylated haemoglobin (HbA1c) < 7% [12]. However, a previous study showed that Chinese patients with diabetes have a poor blood glucose control, and only 26%–40% of patients with diabetes achieve the target [13]. A meta-analysis in mainland China indicated a mere 20.87% diabetes control rate [14]. Poor diabetes control rates impose a significant financial burden on individuals, families, healthcare systems, and countries. A study suggested that approximately $110 billion (12% of total health expenditure) was spent on the treatment and management of patients with diabetes in China in 2015 [15]. Thus, it is imperative to identify factors that affect blood glucose control to prevent and delay diabetes.
Several studies have investigated the prevalence, awareness, and control rates of diabetes in China [8, 1618]. However, information on diabetes in large populations is scarce, and only few studies have assessed older adults facing a higher risk of developing diabetes. Therefore, this study aimed to assess the latest epidemiological characteristics of diabetes in Chinese individuals aged ≥ 65 years, including the prevalence and related risk factors, and to evaluate their understanding of diabetes and glycaemic control levels.

Methods

Study design and participants

This was a population-based, cross-sectional study in individuals aged ≥ 65 years in Wuhan, China. Wuhan had 1,278,902 elderly individuals in 2018 [19]. With a scheme launched by the Wuhan Municipal Government, the Wuhan Center for Disease Control and Prevention conducted health screening of 388,403 (30.37%) elderly individuals from 11 urban districts and 6 suburban districts between January 2018 and December 2018. All participants volunteered and signed informed consent forms. The inclusion criteria were that the participants were elderly individuals aged ≥ 65 years and who were permanent residents of Wuhan. After excluding 11,701 individuals with incomplete or missing data, 376,702 participants (96.99%) finally completed the entire study.
The study was reviewed and approved by the Ethics Committee of the Wuhan Center for Disease Control and Prevention (IRB#: WHCDCIRB-K-2018023). Written informed consent was obtained from all participants prior to the data collection.

Data collection

The survey was conducted at local community health service centers in Wuhan, China. Each participant completed a health status questionnaire, and underwent body measurements and blood biochemical tests. Data were collected by trained medical staff at elementary healthcare centers.
A health status questionnaire was used to collect demographic information, including age (in years), gender (men, women), education level (elementary school and below, junior high school, technical secondary school or high school, and junior college or above), marital status (married, divorced, widowed, or single), history of diabetes (yes or no), physical activity (never, occasionally, sometimes, often, or always), smoking status (never, occasionally, often, or quit smoking), and drinking habit (never, occasionally, often, every day, or quit drinking).
Body measurements were obtained using standardised protocols. Participants’ height was measured in meters without shoes, and weight was measured in kilograms after removing heavy clothes. Body mass index (BMI) was calculated as weight in kilograms divided by height in meters squared (kg/m2). Waist circumference (WC) was measured by placing the measuring tape over the navel and horizontally circling the waist. Blood pressure (BP) was measured by a registered nurse in a seated position using a standard mercury sphygmomanometer or automatic manometer.
Blood samples were collected from all participants after an overnight fast of at least 10 h. All blood samples were analysed at the central laboratory, which successfully completed a standardisation and certification program. Fasting plasma glucose (FPG) levels were measured using the glucose oxidase procedure.

Definitions

In this study, the diagnosis of T2DM was identified based on the Health Screening data. If one of the following three criterion was met, the subjects were regarded as T2DM: (1) FPG ≥ 7 mmol/L, (2) 2-h post-load plasma glucose ≥ 11.1 mmol/L, (3) self-reported previous diagnosis by healthcare professionals. The data were checked carefully by professionals to verify accuracy and completeness [20]. Awareness was defined as the proportion of individuals who reported a history of physician-diagnosed diabetes [15]. Control was defined as the proportion of patients with diabetes with FPG < 7.0 mmol/L, which indicated that self-reported history of diagnosed diabetes patients with FPG < 7.0 mmol/L at this physical examination were considered to have glucose control. Overweight was defined as BMI between 24.0 and 27.9, and obesity was defined as BMI ≥ 28.0. Central obesity was defined as a WC ≥ 85 cm for women and 90 cm for men according to the Healthy Adult Weight Determination in China (WS/T428–2013) [21].

Statistical analysis

Data were double entered in Epi Data 3.2 after manual checking. Double entry was used to minimise data entry errors. Participant characteristics are described as mean ± standard deviation for continuous variables and number (percentage) for categorical variables. The associated risk factors for the prevalence, awareness, and control of T2DM were analysed using multivariate logistic regression. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated. A P < 0.05 was considered to be statistically significant. All statistical analyses were performed using SAS version 9.4.

Results

General characteristics of participants

The socio-demographic characteristics of individuals aged ≥ 65 years in Wuhan are shown in Table 1(Additional File 1). A total of 376,702 individuals were investigated in the study, of which 167,886 (44.6%) were men and 208,816 (55.4%) were women. The average age of participants in the T2DM group tended to be higher than that of participants in non-T2DM group. BMI, systolic blood pressure (SBP), WC, and FPG levels were higher in participants in the T2DM group than those in non-T2DM group. However, participants in the non-T2DM group had a higher diastolic BP (DBP) than those in T2DM group. The differences between T2DM group and non-T2DM group were statistically significant. A majority of the participants had low education levels. A majority of the participants were married, and never smoked or consumed alcohol.

Prevalence, awareness, and control rates in different subgroups

The overall prevalence of T2DM in the Chinese individuals aged ≥ 65 years was 18.80% (Table 2, Additional File 2). There was a statistically significant difference in the prevalence of diabetes between men and women (χ2 = 208.414, P < 0.001). Of the individuals with T2DM, 77.14% were aware that they had diabetes, and 41.33% of them had their blood glucose levels under control. There were also statistically significant differences in terms of awareness and control rate by gender (χ2 = 379.454, P < 0.001; and χ2 = 95.683, P < 0.001, respectively). The results showed that individuals with a higher BMI and central obesity had a higher prevalence of T2DM than other individuals. The awareness and control rate for T2DM increased with age and education level, and was particularly high in individuals who exercised regularly. Moreover, individuals who quit smoking and drinking had the highest awareness and control rates, as opposed to those in other groups.

Analyses of risk factors for the prevalence, awareness, and control of T2DM

In the multivariate analysis, older age, higher education level, physical activity, history of higher BMI, and central obesity were risk factors for the prevalence of T2DM, while smoking and drinking were negatively related to the prevalence rate (Table 3, Additional File 3). The education level, physical activity, quite smoking, quite drinking, history of central obesity, and history of high BMI were positively related to the awareness rate. In contrast, single marital status and current drinking were negatively related to the awareness rate. Further, older age, higher education level, physical activity, quite smoking and quite drinking were positively related to the control rate; while single marital status, current drinking, history of higher BMI, and central obesity were negatively related to the control rate. Additionally, women gender showed positive correlation with awareness and control rates.

Discussion

This study investigated the prevalence, awareness, and control rates of diabetes in a large population in Wuhan, China. We found that 18.80% of the elderly residents had T2DM. In addition, 77.14% of the participants were aware that they had diabetes, and 41.33% of them had diabetes under control. These findings reveal that T2DM has been a major public health issue in China, and thus, suggests that more measures to control T2DM are needed.
The key observation from these new data was that the prevalence rates in individuals ≥ 65 in China was relatively higher than in some regional surveys in China reported in recent years (18.8% vs.16.9%) [22], and almost equaled the US population (20.4%) [23], despite the fact that overweight and obesity are far more prevalent in the United States. Basing on the fact that due to China's critical diabetes situation, T2DM is for certain to impose tremendous health care costs on elderly adults with diabetes [24], it is important to improve the awareness and control rates of diabetes in patients. In the present study, 77.14% of the participants were aware that they had diabetes, and 41.33% had controlled diabetes. According to previous studies in other regions in China, the awareness rate of diabetes was < 60%, and the control rate was approximately 30% [25, 26]. However, in some European nations and the US, which have relatively higher medical facilities, the national awareness and control rates of diabetes exceeded 70% and 50%, respectively [23, 27]. These data indicate that the awareness and control rates of diabetes in China have improved than those in the past, and diabetes health education programs have progressed. However, compared with rates in the developed countries, China would need more aggressive diabetes prevention and control.
The results of the present study showed that the prevalence of T2DM was higher in women than in men, which is consistent with results of other studies conducted in Asia [2830]. Previous studies have suggested that the difference could be attributed to variability in risk factors for diabetes prevalence between men and women, or to women's longer life expectancy [31]. Women also had higher rates of diabetes awareness and control than men in the present study. This may be attributed to the fact that women use medical services more, have a higher awareness of social security, and have easier access to health services than men [32]. In addition, due to the higher prevalence of diabetes in women, those with diabetes may pay more attention to the disease, and thus, have higher awareness and control rates than men.
The present study revealed that older individuals with higher education levels had higher awareness and control rates of diabetes than those with lower education levels. This is consistent with the results of some studies [3335]. Previous studies have confirmed that education level is positively correlated with the health literacy level in patients with diabetes [36]. The individuals with higher education are more self-conscious about health maintenance and know more about diabetes, and thus, consciously take steps to manage diabetes. A study based in the US has shown that obesity is associated with reduced awareness of diabetes, with obese individuals having lower blood sugar control levels than those with normal weight [37]. This finding is consistent with findings of the present study. Moreover, some observational and experimental studies suggest that unhealthy lifestyles, such as alcohol consumption, are associated with poor diabetes control [8], which is consistent with the results of the present study.
The present study found age, BMI, and central obesity to be risk factors for diabetes prevalence, which is consistent with results of previous studies on older individuals [21, 38]. With rapid development of the economy and urbanisation, the way of living has changed significantly in Chinese individuals. Chinese consumers have shown a sharp increase in consumption of meat and reduction in consumption of cereals. People are less physically active and adopt a sedentary lifestyle, which has increased the obesity rates in Chinese population and increased the risk of diabetes [3941]. Previous studies have shown that smoking, drinking, and lack of physical exercise are closely associated with incidence of T2DM [42, 43]. However, these associations were not observed in the present study. This may be because we investigated participants' current behaviour rather than past behaviour, and some subjects may have changed their lifestyle after being diagnosed with T2DM, which may have affected the results.
To circumvent the high prevalence of diabetes and insufficiency of blood glucose control, the relevant government departments should continue to strengthen the prevention and management of patients with diabetes. First, to increase the early screening of patients with diabetes, early identification is crucial for the primary prevention of diabetes, especially in high-risk groups. Second, health workers should strengthen the management of patients with diabetes, regularly perform blood glucose testing, examine for complications, and impart self-management knowledge education in patients with diabetes. Finally, the government can adopt lifestyle intervention policies, lifestyle interventions can prevent or delay diabetes progress, advocating residents insist on physical exercise regularly, pay attention to weight, low salt, low fat, and low oil diet health education, which will help residents to develop a healthy lifestyle, improve lipid metabolism, maintain a healthy weight, and reduce the risk of T2DM.
This study has some limitations. First, due to the cross-sectional nature of the study, the causal relationship between T2DM and some risk factors could not be inferred; therefore, longitudinal studies are needed to verify the conclusions.Second, dietary habits, family history, and other chronic diseases associated with diabetes were not included as variables in the study.

Conclusions

The study identified high prevalence of T2DM in Chinese elderly individuals, despite improvement in awareness and control, and highlighted the demographics compared to those in developed countries. In view of the large and growing elderly population in China, diabetes may cause great harm, and thus, it is necessary to strengthen the management of senile diabetes. The relevant departments should adopt appropriate policies and interventions to implement effective education programs. Additionally, individuals should adopt a healthy lifestyle, increase physical activity, and maintain healthy weight, as these measures would help in the management of diabetes and reduce the economic burden in China.

Acknowledgements

We greatly appreciate the support of the participants and the hard work of the researchers during this study.

Declarations

The study was reviewed and approved by the Ethics Committee of Wuhan Center for Disease Control and Prevention (IRB#:WHCDCIRB-K-2018023), and all methods were performed in accordance with the Declaration of Helsinki. Written informed consent was obtained from all participants before data collection.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Li MZ, Su L, Liang BY, Tan JJ, Chen Q, Long JX, Xie JJ, Wu GL, Yan Y, Guo XJ, et al. Trends in prevalence, awareness, treatment, and control of diabetes mellitus in mainland china from 1979 to 2012. Int J Endocrinol. 2013;2013:753150.PubMedPubMedCentral Li MZ, Su L, Liang BY, Tan JJ, Chen Q, Long JX, Xie JJ, Wu GL, Yan Y, Guo XJ, et al. Trends in prevalence, awareness, treatment, and control of diabetes mellitus in mainland china from 1979 to 2012. Int J Endocrinol. 2013;2013:753150.PubMedPubMedCentral
2.
Zurück zum Zitat Rahman MS, Akter S, Abe SK, Islam MR, Mondal MN, Rahman JA, Rahman MM. Awareness, treatment, and control of diabetes in Bangladesh: a nationwide population-based study. PLoS One. 2015;10(2):e0118365.PubMedPubMedCentralCrossRef Rahman MS, Akter S, Abe SK, Islam MR, Mondal MN, Rahman JA, Rahman MM. Awareness, treatment, and control of diabetes in Bangladesh: a nationwide population-based study. PLoS One. 2015;10(2):e0118365.PubMedPubMedCentralCrossRef
3.
Zurück zum Zitat Writing Group M, Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, Das SR, de Ferranti S, Despres JP, et al. Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association. Circulation. 2016;133(4):e38-360. Writing Group M, Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, Das SR, de Ferranti S, Despres JP, et al. Heart Disease and Stroke Statistics-2016 Update: A Report From the American Heart Association. Circulation. 2016;133(4):e38-360.
4.
Zurück zum Zitat Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, Stein C, Basit A, Chan JCN, Mbanya JC, et al. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract. 2022;183:109119.PubMedCrossRef Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, Stein C, Basit A, Chan JCN, Mbanya JC, et al. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract. 2022;183:109119.PubMedCrossRef
5.
Zurück zum Zitat Zhou X, Guan H, Zheng L, Li Z, Guo X, Yang H, Yu S, Sun G, Li W, Hu W, et al. Prevalence and awareness of diabetes mellitus among a rural population in China: results from Liaoning Province. Diabet Med. 2015;32(3):332–42.PubMedCrossRef Zhou X, Guan H, Zheng L, Li Z, Guo X, Yang H, Yu S, Sun G, Li W, Hu W, et al. Prevalence and awareness of diabetes mellitus among a rural population in China: results from Liaoning Province. Diabet Med. 2015;32(3):332–42.PubMedCrossRef
6.
Zurück zum Zitat Shi ZMP, Yang SHMP, Dou KFMP, Song WJMP, Xiao JMP, Yang WM, He JMP. Prevalence of Diabetes among Men and Women in China. N Engl J Med. 2010;362(25):2425–2425 (author reply 2426).PubMedCrossRef Shi ZMP, Yang SHMP, Dou KFMP, Song WJMP, Xiao JMP, Yang WM, He JMP. Prevalence of Diabetes among Men and Women in China. N Engl J Med. 2010;362(25):2425–2425 (author reply 2426).PubMedCrossRef
7.
Zurück zum Zitat Ma RCW. Epidemiology of diabetes and diabetic complications in China. Diabetologia. 2018;61(6):1249–60.PubMedCrossRef Ma RCW. Epidemiology of diabetes and diabetic complications in China. Diabetologia. 2018;61(6):1249–60.PubMedCrossRef
8.
Zurück zum Zitat Liu M, Wang J, He Y, Jiang B, Wu L, Wang Y, Di Z, Zeng J. Awareness, treatment and control of type 2 diabetes among Chinese elderly and its changing trend for past decade. BMC Public Health. 2016;16:278.PubMedPubMedCentralCrossRef Liu M, Wang J, He Y, Jiang B, Wu L, Wang Y, Di Z, Zeng J. Awareness, treatment and control of type 2 diabetes among Chinese elderly and its changing trend for past decade. BMC Public Health. 2016;16:278.PubMedPubMedCentralCrossRef
9.
Zurück zum Zitat Felix HC, Narcisse MR, Long CR, English E, Haggard-Duff L, Purvis RS, McElfish PA. The Effect of Family Diabetes Self-management Education on Self-care Behaviors of Marshallese Adults with Type 2 Diabetes. Am J Health Behav. 2019;43(3):490–7.PubMedCrossRef Felix HC, Narcisse MR, Long CR, English E, Haggard-Duff L, Purvis RS, McElfish PA. The Effect of Family Diabetes Self-management Education on Self-care Behaviors of Marshallese Adults with Type 2 Diabetes. Am J Health Behav. 2019;43(3):490–7.PubMedCrossRef
10.
Zurück zum Zitat McElfish PA, Long CR, Bursac Z, Scott AJ, Felix HC, Schulz TK, Worley MA, Rowland B. Diabetes self-management education exposure and glycated haemoglobin levels among Marshallese participants in a randomized controlled study. Diabet Med. 2020;37(2):319–25.PubMedCrossRef McElfish PA, Long CR, Bursac Z, Scott AJ, Felix HC, Schulz TK, Worley MA, Rowland B. Diabetes self-management education exposure and glycated haemoglobin levels among Marshallese participants in a randomized controlled study. Diabet Med. 2020;37(2):319–25.PubMedCrossRef
11.
Zurück zum Zitat McElfish PA, Long CR, Kohler PO, Yeary KHK, Bursac Z, Narcisse MR, Felix HC, Rowland B, Hudson JS, Goulden PA. Comparative Effectiveness and Maintenance of Diabetes Self-Management Education Interventions for Marshallese Patients With Type 2 Diabetes: A Randomized Controlled Trial. Diabetes Care. 2019;42(5):849–58.PubMedPubMedCentralCrossRef McElfish PA, Long CR, Kohler PO, Yeary KHK, Bursac Z, Narcisse MR, Felix HC, Rowland B, Hudson JS, Goulden PA. Comparative Effectiveness and Maintenance of Diabetes Self-Management Education Interventions for Marshallese Patients With Type 2 Diabetes: A Randomized Controlled Trial. Diabetes Care. 2019;42(5):849–58.PubMedPubMedCentralCrossRef
12.
Zurück zum Zitat Bi Y, Zhu D, Cheng J, Zhu Y, Xu N, Cui S, Li W, Cheng X, Wang F, Hu Y, et al. The status of glycemic control: A cross-sectional study of outpatients with type 2 diabetes mellitus across primary, secondary, and tertiary hospitals in the Jiangsu province of China. Clin Ther. 2010;32(5):973–83.PubMedCrossRef Bi Y, Zhu D, Cheng J, Zhu Y, Xu N, Cui S, Li W, Cheng X, Wang F, Hu Y, et al. The status of glycemic control: A cross-sectional study of outpatients with type 2 diabetes mellitus across primary, secondary, and tertiary hospitals in the Jiangsu province of China. Clin Ther. 2010;32(5):973–83.PubMedCrossRef
13.
Zurück zum Zitat Yin J, Yeung R, Luk A, Tutino G, Zhang Y, Kong A, Chung H, Wong R, Ozaki R, Ma R, et al. Gender, diabetes education, and psychosocial factors are associated with persistent poor glycemic control in patients with type 2 diabetes in the Joint Asia Diabetes Evaluation (JADE) program. J Diabetes. 2016;8(1):109–19.PubMedCrossRef Yin J, Yeung R, Luk A, Tutino G, Zhang Y, Kong A, Chung H, Wong R, Ozaki R, Ma R, et al. Gender, diabetes education, and psychosocial factors are associated with persistent poor glycemic control in patients with type 2 diabetes in the Joint Asia Diabetes Evaluation (JADE) program. J Diabetes. 2016;8(1):109–19.PubMedCrossRef
14.
Zurück zum Zitat Liu M, Lv X, Li Y, Li J, He Y. Prevalence and Control Status of Diabetes and Related Risk Factors Among 4196 Chinese Male Older Elderly Aged ≥80 Years. Int J Gerontol. 2018;12(2):122–6.CrossRef Liu M, Lv X, Li Y, Li J, He Y. Prevalence and Control Status of Diabetes and Related Risk Factors Among 4196 Chinese Male Older Elderly Aged ≥80 Years. Int J Gerontol. 2018;12(2):122–6.CrossRef
15.
Zurück zum Zitat Wang H, Yao J, Yin X, Guo X, Yin J, Qu H, Sun Q. Organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in China. BMJ Open. 2020;10(4):e036331.PubMedPubMedCentralCrossRef Wang H, Yao J, Yin X, Guo X, Yin J, Qu H, Sun Q. Organisational and individual characteristics associated with glycaemic control among patients with type 2 diabetes: cross-sectional study in China. BMJ Open. 2020;10(4):e036331.PubMedPubMedCentralCrossRef
16.
Zurück zum Zitat Xu Y, Wang L, He J, Bi Y, Li M, Wang T, Wang L, Jiang Y, Dai M, Lu J, et al. Prevalence and control of diabetes in Chinese adults. JAMA. 2013;310(9):948–59.PubMedCrossRef Xu Y, Wang L, He J, Bi Y, Li M, Wang T, Wang L, Jiang Y, Dai M, Lu J, et al. Prevalence and control of diabetes in Chinese adults. JAMA. 2013;310(9):948–59.PubMedCrossRef
17.
Zurück zum Zitat Irazola V, Rubinstein A, Bazzano L, Calandrelli M, Chung-Shiuan C, Elorriaga N, Gutierrez L, Lanas F, Manfredi JA, Mores N, et al. Prevalence, awareness, treatment and control of diabetes and impaired fasting glucose in the Southern Cone of Latin America. PLoS One. 2017;12(9):e0183953.PubMedPubMedCentralCrossRef Irazola V, Rubinstein A, Bazzano L, Calandrelli M, Chung-Shiuan C, Elorriaga N, Gutierrez L, Lanas F, Manfredi JA, Mores N, et al. Prevalence, awareness, treatment and control of diabetes and impaired fasting glucose in the Southern Cone of Latin America. PLoS One. 2017;12(9):e0183953.PubMedPubMedCentralCrossRef
18.
Zurück zum Zitat Hu D, Fu P, Xie J, Chen CS, Yu D, Whelton PK, He J, Gu D. Group MSftIC: 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.PubMedCrossRef Hu D, Fu P, Xie J, Chen CS, Yu D, Whelton PK, He J, Gu D. Group MSftIC: 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.PubMedCrossRef
20.
Zurück zum Zitat Wang Q, Zhang X, Fang L, Guan Q, Guan L, Li Q. Prevalence, awareness, treatment and control of diabetes mellitus among middle-aged and elderly people in a rural Chinese population: a cross-sectional study. PLoS One. 2018;13(6):e0198343.PubMedPubMedCentralCrossRef Wang Q, Zhang X, Fang L, Guan Q, Guan L, Li Q. Prevalence, awareness, treatment and control of diabetes mellitus among middle-aged and elderly people in a rural Chinese population: a cross-sectional study. PLoS One. 2018;13(6):e0198343.PubMedPubMedCentralCrossRef
21.
Zurück zum Zitat Sun Y, Ni W, Yuan X, Chi H, Xu J. Prevalence, treatment, control of type 2 diabetes and the risk factors among elderly people in Shenzhen: results from the urban Chinese population. BMC Public Health. 2020;20(1):998.PubMedPubMedCentralCrossRef Sun Y, Ni W, Yuan X, Chi H, Xu J. Prevalence, treatment, control of type 2 diabetes and the risk factors among elderly people in Shenzhen: results from the urban Chinese population. BMC Public Health. 2020;20(1):998.PubMedPubMedCentralCrossRef
22.
Zurück zum Zitat Salas A, Acosta D, Ferri CP, Guerra M, Huang Y, Jacob KS, Jimenez-Velazquez IZ, Llibre Rodriguez JJ, Sosa AL, Uwakwe R, et al. The Prevalence, Correlates, Detection and Control of Diabetes among Older People in Low and Middle Income Countries. A 10/66 Dementia Research Group Population-Based Survey. PLoS One. 2016;11(2):e0149616.PubMedPubMedCentralCrossRef Salas A, Acosta D, Ferri CP, Guerra M, Huang Y, Jacob KS, Jimenez-Velazquez IZ, Llibre Rodriguez JJ, Sosa AL, Uwakwe R, et al. The Prevalence, Correlates, Detection and Control of Diabetes among Older People in Low and Middle Income Countries. A 10/66 Dementia Research Group Population-Based Survey. PLoS One. 2016;11(2):e0149616.PubMedPubMedCentralCrossRef
23.
Zurück zum Zitat McDonald M, Hertz RP, Unger AN, Lustik MB. Prevalence, awareness, and management of hypertension, dyslipidemia, and diabetes among United States adults aged 65 and older. J Gerontol A Biol Sci Med Sci. 2009;64(2):256-263.1.PubMedCrossRef McDonald M, Hertz RP, Unger AN, Lustik MB. Prevalence, awareness, and management of hypertension, dyslipidemia, and diabetes among United States adults aged 65 and older. J Gerontol A Biol Sci Med Sci. 2009;64(2):256-263.1.PubMedCrossRef
24.
Zurück zum Zitat Bai A, Tao J, Tao L, Liu J. Prevalence and risk factors of diabetes among adults aged 45 years or older in China: a national cross-sectional study. Endocrinol Diabetes Metab. 2021;4(3):e00265.PubMedPubMedCentralCrossRef Bai A, Tao J, Tao L, Liu J. Prevalence and risk factors of diabetes among adults aged 45 years or older in China: a national cross-sectional study. Endocrinol Diabetes Metab. 2021;4(3):e00265.PubMedPubMedCentralCrossRef
25.
Zurück zum Zitat Yang F, Qian D, Chen J, Hu D, Hou M, Chen S, Wang P, Group LWSP. Prevalence, awareness, treatment and control of diabetes mellitus in rural China: results from Shandong Province. Diabet Med. 2016;33(4):454–8.PubMedCrossRef Yang F, Qian D, Chen J, Hu D, Hou M, Chen S, Wang P, Group LWSP. Prevalence, awareness, treatment and control of diabetes mellitus in rural China: results from Shandong Province. Diabet Med. 2016;33(4):454–8.PubMedCrossRef
26.
Zurück zum Zitat Yue J, Mao X, Xu K, Lu L, Liu S, Chen F, Wang J. Prevalence, Awareness, Treatment and Control of Diabetes Mellitus in a Chinese Population. PLoS One. 2016;11(4):e0153791.PubMedPubMedCentralCrossRef Yue J, Mao X, Xu K, Lu L, Liu S, Chen F, Wang J. Prevalence, Awareness, Treatment and Control of Diabetes Mellitus in a Chinese Population. PLoS One. 2016;11(4):e0153791.PubMedPubMedCentralCrossRef
27.
Zurück zum Zitat Bikbov MM, Fayzrakhmanov RR, Kazakbaeva GM, Zainullin RM, Arslangareeva II, Gilmanshin TR, Salavatova VF, Nikitin NA, Mukhamadieva SR, Yakupova DF, et al. Prevalence, awareness and control of diabetes in Russia: The Ural Eye and Medical Study on adults aged 40+ years. PLoS One. 2019;14(4):e0215636.PubMedPubMedCentralCrossRef Bikbov MM, Fayzrakhmanov RR, Kazakbaeva GM, Zainullin RM, Arslangareeva II, Gilmanshin TR, Salavatova VF, Nikitin NA, Mukhamadieva SR, Yakupova DF, et al. Prevalence, awareness and control of diabetes in Russia: The Ural Eye and Medical Study on adults aged 40+ years. PLoS One. 2019;14(4):e0215636.PubMedPubMedCentralCrossRef
28.
Zurück zum Zitat Sabanayagam C, Shankar A, Saw SM, Tai ES, Lim SC, Lee JJ, Wong TY. Prevalence of diabetes mellitus, glycemic control, and associated factors in a Malay population in Singapore. Asia Pac J Public Health. 2009;21(4):385–98.PubMedCrossRef Sabanayagam C, Shankar A, Saw SM, Tai ES, Lim SC, Lee JJ, Wong TY. Prevalence of diabetes mellitus, glycemic control, and associated factors in a Malay population in Singapore. Asia Pac J Public Health. 2009;21(4):385–98.PubMedCrossRef
29.
Zurück zum Zitat Aekplakorn W, Stolk RP, Neal B, Suriyawongpaisal P, Chongsuvivatwong V, Cheepudomwit S, Woodward M, Group IC. The prevalence and management of diabetes in Thai adults: the international collaborative study of cardiovascular disease in Asia. Diabetes Care. 2003;26(10):2758–63.PubMedCrossRef Aekplakorn W, Stolk RP, Neal B, Suriyawongpaisal P, Chongsuvivatwong V, Cheepudomwit S, Woodward M, Group IC. The prevalence and management of diabetes in Thai adults: the international collaborative study of cardiovascular disease in Asia. Diabetes Care. 2003;26(10):2758–63.PubMedCrossRef
30.
Zurück zum Zitat Pan WH, Yeh WT, Chang HY, Hwu CM, Ho LT. Prevalence and awareness of diabetes and mean fasting glucose by age, sex, and region: results from the Nutrition and Health Survey in Taiwan, 1993–1996. Diabet Med. 2003;20(3):182–5.PubMedCrossRef Pan WH, Yeh WT, Chang HY, Hwu CM, Ho LT. Prevalence and awareness of diabetes and mean fasting glucose by age, sex, and region: results from the Nutrition and Health Survey in Taiwan, 1993–1996. Diabet Med. 2003;20(3):182–5.PubMedCrossRef
31.
Zurück zum Zitat King H, Aubert RE, Herman WH. Global burden of diabetes, 1995–2025: prevalence, numerical estimates, and projections. Diabetes Care. 1998;21(9):1414–31.PubMedCrossRef King H, Aubert RE, Herman WH. Global burden of diabetes, 1995–2025: prevalence, numerical estimates, and projections. Diabetes Care. 1998;21(9):1414–31.PubMedCrossRef
32.
Zurück zum Zitat Selcuk KT, Sozmen MK, Togrul BU. Diabetes prevalence and awareness in adults in the Balcova district in Turkey. Turk J Med Sci. 2015;45(6):1220–7.PubMedCrossRef Selcuk KT, Sozmen MK, Togrul BU. Diabetes prevalence and awareness in adults in the Balcova district in Turkey. Turk J Med Sci. 2015;45(6):1220–7.PubMedCrossRef
33.
Zurück zum Zitat Yang MH, Hall SA, Piccolo RS, Maserejian NN, McKinlay JB. Do Behavioral Risk Factors for Prediabetes and Insulin Resistance Differ across the Socioeconomic Gradient? Results from a Community-Based Epidemiologic Survey. Int J Endocrinol. 2015;2015:806257.PubMedPubMedCentral Yang MH, Hall SA, Piccolo RS, Maserejian NN, McKinlay JB. Do Behavioral Risk Factors for Prediabetes and Insulin Resistance Differ across the Socioeconomic Gradient? Results from a Community-Based Epidemiologic Survey. Int J Endocrinol. 2015;2015:806257.PubMedPubMedCentral
34.
Zurück zum Zitat Redondo A, Benach J, Subirana I, Martinez JM, Munoz MA, Masia R, Ramos R, Sala J, Marrugat J, Elosua R. Trends in the prevalence, awareness, treatment, and control of cardiovascular risk factors across educational level in the 1995–2005 period. Ann Epidemiol. 2011;21(8):555–63.PubMedCrossRef Redondo A, Benach J, Subirana I, Martinez JM, Munoz MA, Masia R, Ramos R, Sala J, Marrugat J, Elosua R. Trends in the prevalence, awareness, treatment, and control of cardiovascular risk factors across educational level in the 1995–2005 period. Ann Epidemiol. 2011;21(8):555–63.PubMedCrossRef
35.
Zurück zum Zitat Cai L, Li X, Cui W, You D, Golden AR. Trends in diabetes and pre-diabetes prevalence and diabetes awareness, treatment and control across socioeconomic gradients in rural southwest China. J Public Health (Oxf). 2018;40(2):375–80.CrossRef Cai L, Li X, Cui W, You D, Golden AR. Trends in diabetes and pre-diabetes prevalence and diabetes awareness, treatment and control across socioeconomic gradients in rural southwest China. J Public Health (Oxf). 2018;40(2):375–80.CrossRef
36.
Zurück zum Zitat Hu FBMD, Manson JEMD, Stampfer MJMD, Colditz GMD, Liu SMD, Solomon CGMD, Willett WCMD. Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N Engl J Med. 2001;345(11):790–7.PubMedCrossRef Hu FBMD, Manson JEMD, Stampfer MJMD, Colditz GMD, Liu SMD, Solomon CGMD, Willett WCMD. Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N Engl J Med. 2001;345(11):790–7.PubMedCrossRef
37.
Zurück zum Zitat Okosun I, Dever GEA, Dever GEA. Abdominal Obesity and Ethnic Differences in Diabetes Awareness, Treatment, and Glycemic Control. Obes Res. 2002;10(12):1241–50.PubMedCrossRef Okosun I, Dever GEA, Dever GEA. Abdominal Obesity and Ethnic Differences in Diabetes Awareness, Treatment, and Glycemic Control. Obes Res. 2002;10(12):1241–50.PubMedCrossRef
38.
Zurück zum Zitat Bi Y, Wang L, Xu Y, Jiang Y, He J, Zhang M, Zhou M, Li Y, Xu M, Lu J, et al. Diabetes-related metabolic risk factors in internal migrant workers in China: a national surveillance study. Lancet Diabetes Endocrinol. 2016;4(2):125–35.PubMedCrossRef Bi Y, Wang L, Xu Y, Jiang Y, He J, Zhang M, Zhou M, Li Y, Xu M, Lu J, et al. Diabetes-related metabolic risk factors in internal migrant workers in China: a national surveillance study. Lancet Diabetes Endocrinol. 2016;4(2):125–35.PubMedCrossRef
39.
Zurück zum Zitat Zhai F, Wang H, Du S, He Y, Wang Z, Ge K, Popkin BM. Prospective study on nutrition transition in China. Nutr Rev. 2009;67(Suppl 1):S56-61.PubMedCrossRef Zhai F, Wang H, Du S, He Y, Wang Z, Ge K, Popkin BM. Prospective study on nutrition transition in China. Nutr Rev. 2009;67(Suppl 1):S56-61.PubMedCrossRef
41.
Zurück zum Zitat Ng SW, Norton EC, Popkin BM. Why have physical activity levels declined among Chinese adults? Findings from the 1991–2006 China Health and Nutrition Surveys. Soc Sci Med. 2009;68(7):1305–14.PubMedPubMedCentralCrossRef Ng SW, Norton EC, Popkin BM. Why have physical activity levels declined among Chinese adults? Findings from the 1991–2006 China Health and Nutrition Surveys. Soc Sci Med. 2009;68(7):1305–14.PubMedPubMedCentralCrossRef
42.
Zurück zum Zitat Qiu L, Wang W, Sa R, Liu F. Prevalence and Risk Factors of Hypertension, Diabetes, and Dyslipidemia among Adults in Northwest China. Int J Hypertens. 2021;2021:5528007.PubMedPubMedCentralCrossRef Qiu L, Wang W, Sa R, Liu F. Prevalence and Risk Factors of Hypertension, Diabetes, and Dyslipidemia among Adults in Northwest China. Int J Hypertens. 2021;2021:5528007.PubMedPubMedCentralCrossRef
43.
Zurück zum Zitat Liu X, Li Y, Li L, Zhang L, Ren Y, Zhou H, Cui L, Mao Z, Hu D, Wang C. Prevalence, awareness, treatment, control of type 2 diabetes mellitus and risk factors in Chinese rural population: the RuralDiab study. Sci Rep. 2016;6:31426.PubMedPubMedCentralCrossRef Liu X, Li Y, Li L, Zhang L, Ren Y, Zhou H, Cui L, Mao Z, Hu D, Wang C. Prevalence, awareness, treatment, control of type 2 diabetes mellitus and risk factors in Chinese rural population: the RuralDiab study. Sci Rep. 2016;6:31426.PubMedPubMedCentralCrossRef
Metadaten
Titel
Prevalence, awareness and control of type 2 diabetes mellitus and risk factors in Chinese elderly population
verfasst von
Yaqiong Yan
Tingting Wu
Miao Zhang
Changfeng Li
Qing Liu
Fang Li
Publikationsdatum
01.12.2022
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2022
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-022-13759-9

Weitere Artikel der Ausgabe 1/2022

BMC Public Health 1/2022 Zur Ausgabe