scholarly journals Prevalence and characteristics of alcohol consumption and risk of type 2 diabetes mellitus in rural China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xueyan Wu ◽  
Xiaotian Liu ◽  
Wei Liao ◽  
Ning Kang ◽  
Xiaokang Dong ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Alcohol Consumption ◽  
Rural China ◽  
Logistic Regression Models ◽  
Alcohol Abstinence ◽  
Increased Risk

Abstract Background The study aimed to characterize the prevalence of alcohol consumption and further investigate the relationship between alcohol consumption and type 2 diabetes mellitus (T2DM). Methods We studied 39,259 participants aged 18 to 79 years of the Henan Rural Cohort study. The associations between alcohol consumption and T2DM were examined using the logistic regression models and restricted cubic spline. Results For men, alcohol abstinence was associated with an increased risk of T2DM (1.491(1.265, 1.758)), whereas current drinkers were not associated with T2DM (1.03(0.91, 1.15)). Further analysis of alcohol drinkers revealed that only high-risk drinkers of WHO drinking risk levels increased the risk of T2DM (1.289(1.061,1.566)) compared to never drinkers. The risk of T2DM increased as the age of starting to consume alcohol decreased and as the number of years of consuming alcohol and the alcohol intake increased only in men. We further found that the risk of T2DM decreased as the number of years of abstinence increases and no association between alcohol abstinence and T2DM was found after more than 10 years of abstinence among men. Conclusions Our results suggested that reducing the amount of alcohol consumed and adhering to abstinence from alcohol consumption are beneficial in reducing the risk of T2DM. Trial registration The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 2015-07-06. http://www.chictr.org.cn/showproj.aspx?proj=11375

scholarly journals Cigarette smoking, alcohol intake and the risk of diabetes mellitus in Gombe State, northeast Nigeria

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Sule J. Bathna ◽  
Jacob A. Dunga ◽  
Nura H. Alkali ◽  
Jafiada J. Musa ◽  
Abubakar A. Gombe ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Alcohol Consumption ◽  
Cigarette Smoking ◽  
Cross Sectional Survey ◽  
Chronic Lung Diseases ◽  
Increased Risk ◽  
Northeast Nigeria

Alcohol is consumed in almost all countries worldwide. Heavy drinking can reduce the body’s sensitivity to insulin, which can trigger type 2 diabetes mellitus. Diabetes can complicate chronic pancreatitis, which is overwhelmingly caused by heavy alcohol drinking. Alcohol is also high in calories, with heavy drinkers liable to obesity and a higher risk of type 2 diabetes mellitus. Similarly, cigarette smoking is associated with increased risk of type 2 diabetes mellitus among both middle-aged and elderly men and women. Nigeria is one of the three largest tobacco markets in Africa with a population of almost 13 million smokers. Northeast Nigeria ranks 3rd among the six geopolitical zones, with a smoking rate of 6.1%. In this study, we evaluated the risks of diabetes mellitus associated with alcohol consumption and cigarette smoking in Gombe State, Northeast Nigeria. This cross-sectional survey was conducted in a two-stage cluster sampling scheme based on existing administrative divisions. Study subjects were males and females aged 16 years and older who resided in the Jekadafari Ward of Gombe Metropolis. Subjects were excluded from this study if they were less than 16 years of age, pregnant women or suffered chronic conditions such as chronic kidney disease, chronic liver disease or chronic lung diseases based on clinical history and laboratory results. The calculated sample size was 1600 based on a 3.1% prevalence rate of DM, with a power of 85% and precision of 5%. We obtained complete data on 1302 subjects, of whom 50 (3.8%) had DM. (5.1% in males and 2.86% in females). Alcohol use was prevalent among 365 (28.03%) subjects, and was higher in males (49.4%) compared to females (11.4%). The risk of DM was significantly higher among alcoholusers compared to non-users, with an odds ratio of 4.1 (95%CI: 2.3- 7.3; P=0.0001). Eighty-eight subjects were cigarette smokers, of whom 87 were males and only one was female. We found no significant association between cigarette smoking and DM (OR=0.34, 95%CI 0.05-2.48; P=0.29). The overall prevalence of DM was 3.9%. Alcohol consumption, but not cigarette smoking, was associated with a higher risk of DM in this study.

scholarly journals Snoring frequency and risk of type 2 diabetes mellitus: a prospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e042469
Author(s):  
Ningbin Dai ◽  
Qianwen Shi ◽  
Yujie Hua ◽  
Yu Guo ◽  
Zheng Bian ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Interaction Effect ◽  
Chinese Population ◽  
Cox Regression ◽  
Baseline Survey ◽  
Increased Risk

ObjectiveTo evaluate the association between snoring frequency and type 2 diabetes mellitus (T2DM) according to age and gender in Chinese population.DesignA cohort study was performed in Suzhou site of the China Kadoorie Biobank. Residents who didn’t suffer from T2DM at baseline survey (2004–2008) and in half a year after baseline were enrolled in this study and followed cause-specific morbidity until 31 December 2013. All participants were requested to complete a detailed questionnaire and undergo anthropometric measurements. Cox regression models were used to estimate HRs and 95% CIs for the snoring and T2DM association.SettingWuzhong district, Suzhou, China.ParticipantsA total of 49 453 participants (men: 41.8%; mean age: 51.14±10.28 years) were enrolled in this study.Outcome measuresT2DM cases were defined as International Classification of Diseases 10th Revision code of E11 and were identified through disease registries and health insurance databases.ResultsDuring a media of 7.18 years follow-up, 1120 T2DM cases were identified. Higher T2DM incidence was observed in participants with frequent and occasional snoring compared with those without (4.80 and 2.87 vs 2.39 per 1000 person-years). The multivariable-adjusted model found snoring was independently associated with T2DM (HR 1.28, 95% CI 1.20 to 1.38), both in men (HR 1.25, 95% CI 1.10 to 1.41) and women (HR 1.28, 95% CI 1.17 to 1.39). Moreover, a significant multiplicative interaction effect between snoring and age was detected on T2DM risk (p=0.015).ConclusionsSnoring was independently associated with an increased risk of T2DM in Chinese population, both in men and women. Meanwhile, there was an interaction effect between snoring and age on T2DM risk.

scholarly journals Overweight and obese but not normal weight women with PCOS are at increased risk of Type 2 diabetes mellitus—a prospective population-based cohort study

2017 ◽  
Vol 32 (4) ◽  
pp. 968-968 ◽  
Author(s):  
M.M. Ollila ◽  
S. West ◽  
S. Keinänen-Kiukaaniemi ◽  
J. Jokelainen ◽  
J. Auvinen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Population Based ◽  
Normal Weight ◽  
Increased Risk

Cohort study to determine the waist circumference cutoffs for predicting type 2 diabetes mellitus in rural China

2018 ◽  
Vol 34 (6) ◽  
pp. e3007 ◽  
Author(s):  
Yongcheng Ren ◽  
Yu Liu ◽  
Xizhuo Sun ◽  
Bingyuan Wang ◽  
Yang Zhao ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Waist Circumference ◽  
Rural China

scholarly journals Dipstick proteinuria and risk of type 2 diabetes mellitus: a nationwide population-based cohort study

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Jimin Jeon ◽  
Jinkwon Kim
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Significant Risk ◽  
Health Screening ◽  
Increased Risk ◽  
New Onset

Abstract Background Proteinuria has been recognized as a marker of systemic inflammation and endothelial dysfunction associated with insulin resistance and β-cell impairment, which can contribute to the development of type 2 diabetes mellitus (T2DM). However, it is unknown whether the dipstick proteinuria test has a predictive value for new-onset T2DM. Methods This retrospective cohort study analyzed 239,287 non-diabetic participants who participated in the Korean nationwide health screening program in 2009–2010. Proteinuria was determined by the urine dipstick test at the baseline health screening. We performed multivariate Cox proportional regression analyses for the development of new-onset T2DM. Follow-up was performed until December 2015. Results During the mean follow-up period of 5.73 years, 22,215 participants were diagnosed with new-onset T2DM. The presence of proteinuria was significantly associated with an increased risk of T2DM (adjusted hazard ratio: 1.19, 95% confidence interval: 1.10, 1.29). There was a positive dose–response relationship between the degree of dipstick proteinuria and T2DM risk. This significant association between proteinuria and T2DM risk was consistent regardless of the fasting glucose level at baseline. Conclusions Dipstick proteinuria is a significant risk factor for new-onset T2DM. Therefore, proteinuria might be a useful biomarker to identify those at a high risk for developing T2DM.

scholarly journals Metabolic Syndrome and Its Components Predict the Risk of Type 2 Diabetes Mellitus in the Mainland Chinese: A 3-Year Cohort Study

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Kun Wang ◽  
Qun-Fang Yang ◽  
Xing-Lin Chen ◽  
Yu-Wei Liu ◽  
Sheng-Shuai Shan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Type 2 Diabetes Mellitus ◽  
Cohort Study ◽  
Prediction Model ◽  
Predictive Value ◽  
Mainland Chinese ◽  
Increased Risk

Introduction. It has well established that metabolic syndrome (MetS) can predict the risk of type 2 diabetes mellitus (T2DM) in some population groups. However, limited evidence is available regarding the predictive effect of MetS for incident T2DM in mainland Chinese population. Methods. A 3-year cohort study was performed for 9735 Chinese without diabetes at baseline. MetS and its components were assessed by multivariable analysis using Cox regression. Prediction models were developed. Discrimination was assessed with area under the receiver operating characteristic curves (AUCs), and performance was assessed by a calibration curve. Results. The 3-year cumulative incidence of T2DM was 11.29%. Baseline MetS was associated with an increased risk of T2DM after adjusting for age (HR = 2.68, 95% CI, 2.27–3.17 in males; HR = 2.59, 95% CI, 1.83–3.65 in females). Baseline MetS exhibited relatively high specificity (88% in males, 94% in females) and high negative predictive value (90% in males, 94% in females) but low sensitivity (36% in males, 23% in females) and low positive predictive value (31% in males and females) for predicting the 3-year risk of T2DM. AUCs, including age and components of MetS, for the prediction model were 0.779 (95% CI: 0.759–0.799) in males and 0.860 (95% CI: 0.836–0.883) in females. Calibration curves revealed good agreement between prediction and observation results in males; however, the model could overestimate the risk when the predicted probability is >40% in females. Conclusions. MetS predicts the risk of T2DM. The quantitative MetS-based prediction model for T2DM risk may improve preventive strategies for T2DM and present considerable public health benefits for the people in mainland China.

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