Prevalence of Diabetes Mellitus and Impaired Fasting Glucose, Associated with Risk Factors in Rural Kazakh Adults  in Xinjiang, China

Li, Shugang; Guo, Shuxia; He, Fei; Zhang, Mei; He, Jia; Yan, Yizhong; Ding, Yaobin; Zhang, Jingyu; Liu, Jiaming; Guo, Huiling; Xu, Shangzhi; Ma, Rulin

doi:10.3390/ijerph120100554

Cited by 37 publications

(39 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the multivariate logistic regression analysis, we found that high BMI, hypertension, and elevated TG were significantly associated with an increased risk of pre-diabetes, which was consistent with the study conducted by Li et al [7]. Song et al [26] found that there were interactions between age ≥45 years, obesity, high-fat diet, and low educational level, and they proposed that screening and early intervention in people with a family history of diabetes and obesity was crucial to reduce the risk of diabetes.…”

Section: Discussionsupporting

confidence: 92%

Prevalence of Pre-Diabetes and Its Associated Risk Factors in Rural Areas of Ningbo, China

Zhao

Lin

Yuan

et al. 2016

IJERPH

View full text Add to dashboard Cite

Objective: The aims of the study were to investigate the prevalence of pre-diabetes and explore its associated risk factors in rural areas of Ningbo, China. Methods: A cross-sectional survey was conducted with 4583 adult residents in rural areas of Ningbo, China between March and May 2013. The survey used a multi-stage, stratified, cluster sampling method. Data collected included demographics and medical history, anthropometric measurements, blood pressure, blood lipid, and plasma glucose. After at least 10 h of overnight fasting, participants underwent an oral glucose tolerance test (OGTT) to identify pre-diabetes. Univariate and multivariate logistic regression analyses were used to evaluate the associated risk factors for pre-diabetes, and to estimate the effect of interaction between the factors. Results: There were 1307 survey participants having pre-diabetes (28.52%) and the age-standardized prevalence was 30.53%. Multivariate logistic regression results showed that overweight/obesity, hypertension, and higher triglycerides were the risk factors for developing pre-diabetes. There were positive interactions between overweight/obesity and triglycerides, and also between hypertension and triglycerides on the multiplicative scale, suggesting that they synergistically influenced the development of pre-diabetes. Conclusions: The rural areas in Ningbo had a high prevalence of pre-diabetes. Overweight and obesity, hypertension, and elevated triglycerides were the major risk factors. There is a need of early intervention for preventing pre-diabetes.

show abstract

Section: Discussionsupporting

confidence: 92%

Prevalence of Pre-Diabetes and Its Associated Risk Factors in Rural Areas of Ningbo, China

Zhao

Lin

Yuan

et al. 2016

IJERPH

View full text Add to dashboard Cite

show abstract

“…The exact reason for the discrepancy is unclear, more consumption of meat and dairy foods by the residents in Xinjiang than other regions of mainland of China may be a potential factor. Compared to Han and Uygur Chinese, Kazakh consumed more dairy products but the prevalence was not the lowest, and one of the possible explanation may be along with higher consumption of meat and less vegetables and fruits [58]. We also found ethnic difference of lipid levels among Han, Uygur and Kazakh populations.…”

Section: Discussionmentioning

confidence: 54%

Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008–2012)

Liu

Song

et al. 2020

Lipids Health Dis

View full text Add to dashboard Cite

Background: Hyperuricemia predisposes to gout, which may result in tophi, kidney stones, or urate nephropathy even kidney failure. Many metabolic risk factors and disorders has been recognized as a key risk factor contributing to development of hyperuricemia. Aim: To determine the prevalence of hyperuricemia and its association with adiposity and dyslipidemia. Methods: We recruited non-hospitalized participants (aged ≥35 years) in Xinjiang, a northwest part of China based on the Cardiovascular Risk Survey (CRS 2008(CRS -2012. Information of general health status, seafood or internal organs intake and history of disease were obtained by using an interview-based questionnaire. The levels of serum uric acid (sUA) and creatinine and lipid profiles were measured. A multivariate logistic regression model was performed to assess the association between prevalence of hyperuricemia and adiposity and dyslipidemia. (Continued on next page)Results: This study recruited 16,611 participants, and 14,618 was included (mean age of 50.5 ± 12.6 years, 46.6% was males). The study population comprised three ethnic groups with 39.4% of Han, 32.6% of Uygur and 28% of Kazakh Chinese. The overall prevalence of hyperuricemia was 9.1% (95% CI: 8.6 to 9.6) and it was11.8% in men was 6.7% in women. The three ethnic groups also had different hyperuricemia prevalence with 15.4% in Han, 4.6% in Uygur and 5.5% in Kazakh Chinese, which corresponding to a respective mean sUA levels of 306.2 ± 86.9, 249.4 ± 76.1 and 259.8 ± 78.7 μmol/L. Participants with diabetes, hypertension or hypertriglyceridemia and higher blood urea nitrogen (BUN), estimated glomerular filtration rate (eGFR), fasting blood glucose (FBG), triglycerides (TG), total cholesterol (TC) had higher levels of sUA (P < 0.001 respectively). Multivariate logistic regression analysis revealed that age, gender, ethnicity, drinking, obesity, waist circumference, TG (≥2.26 mmol/L), TC (≥6.22 mmol/L) are major risk factors for hyperuricemia. Compared to the 35-44-year age group [adjusted odds ratio (AOR) = 1], the risk of hyperuricemia increased 1.61-fold in the 65-74-year age group (AOR = 1.61, 95% CI: 1.34-1.91; P < 0.001), and 1.71-fold in the 75-and older age group (AOR = 1.71, 95% CI: 1.27-2.29; P < 0.001). There was a 1.45-fold higher risk of hyperuricemia in men (AOR = 1.45, 95% CI: 1.24-1.68; P < 0.001) compared to women. Further, the risk of hyperuricemia increased significantly with drinking (AOR = 1.36; 95% CI: 1.16-1.61; P < 0.001), overweight (AOR = 1.25; 95% CI: 1.06-1.48; P = 0.01), obesity (AOR = 1.28; 95% CI: 1.10-1.49; P < 0.001), waist circumference (AOR = 1.48; 95% CI: 1.24-1.78; P < 0.001), TC (≥6.22 mmol/L, AOR = 1.45; 95% CI: 1.19-1.75; P < 0.001), TG (≥2.26 mmol/L, AOR = 2.74; 95% CI: 2.39-3.14; P < 0.001). Conclusions: These findings documented that the hyperuricemia is prevalent in the economically developing regions of northwest China. Hyperuricemia is associated with advanced age, male ender and general metabolic and cardiovascular risk factors. Obesity and dyslip...

show abstract

“…In the present study, the overall prevalence of diabetes among four unique ethnic groups in Yunnan Province was found to be lower than the national average in 2010 [5], as well as lower than other ethnic populations in China, such as Kazakh (5.9%) [17], She (6.1%) [18], Manchu (8.39%) and Korean Chinese (9.42%) [7]. This disparity in prevalence could be explained by differences in dietary habits, lifestyle, income level and genetic backgrounds.…”

Section: Discussionmentioning

confidence: 64%

Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China

Cai

Cui

et al. 2016

IJERPH

View full text Add to dashboard Cite

Objectives: The objective of this manuscript is to investigate socioeconomic differences in prevalence, awareness, treatment and self-management of diabetes among ethnic minority groups in Yunnan Province, China. Methods: We conducted a cross-sectional survey in a sample of 5532 Na Xi, Li Su, Dai and Jing Po ethnic minorities. Multilevel modeling was used to estimate odds ratios (OR) and 95% confidence intervals (CI) for diabetes prevalence, as well as the other outcomes. Results: Higher individual educational level was associated with a higher rate of awareness, treatment, adherence to medicines and monitoring of blood glucose (OR = 1.87, 4.89, 4.83, 6.45; 95% CI: 1.26–2.77, 1.87–12.7, 1.95–11.9, 2.23–18.6, respectively). Diabetic respondents with better household assets tended to receive more treatment (OR = 2.81, 95% CI: 1.11–7.12) and to monitor their blood glucose (OR = 3.29, 95% CI: 1.48–7.30). Diabetic patients with better access to medical services were more likely to treat (OR = 7.09, 95% CI: 2.46–20.4) and adhere to medication (OR = 4.14, 95% CI: 1.46–11.7). Income at the contextual level was significantly correlated with diabetes prevalence, treatment and blood glucose monitoring (OR = 1.84, 3.04, 4.34; 95% CI: 1.20–2.83, 1.20–7.73, 1.45–13.0, respectively). Conclusions: Future diabetes prevention and intervention programs should take both individual and township-level socioeconomic factors into account in the study regions.

show abstract

Prevalence of Diabetes Mellitus and Impaired Fasting Glucose, Associated with Risk Factors in Rural Kazakh Adults in Xinjiang, China

Cited by 37 publications

References 17 publications

Prevalence of Pre-Diabetes and Its Associated Risk Factors in Rural Areas of Ningbo, China

Prevalence of Pre-Diabetes and Its Associated Risk Factors in Rural Areas of Ningbo, China

Hyperuricemia and its association with adiposity and dyslipidemia in Northwest China: results from cardiovascular risk survey in Xinjiang (CRS 2008–2012)

Multilevel Analysis of Socioeconomic Determinants on Diabetes Prevalence, Awareness, Treatment and Self-Management in Ethnic Minorities of Yunnan Province, China

Contact Info

Product

Resources

About