scholarly journals Association of Alcohol Drinking With Incident Type 2 Diabetes and Pre-diabetes: the Guangzhou Biobank Cohort Study

2021 ◽  
Author(s):  
Mei Jiao Li ◽  
Jing Ren ◽  
Wei Sen Zhang ◽  
Chao Qiang Jiang ◽  
Ya Li Jin ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Genetic Polymorphisms ◽  
Impaired Fasting Glucose ◽  
Alcohol Drinking ◽  
Fasting Glucose ◽  
Heavy Alcohol ◽  
Incident Type ◽  
Incident Type 2 Diabetes

Abstract Background To examine associations of baseline alcohol drinking with incident type 2 diabetes or impaired fasting glucose, and explore whether the associations were modified by genetic polymorphisms of aldehyde dehydrogenase-2 (ALDH2) and alcohol dehydrogenase-1B (ADH1B).Methods Information of alcohol consumption was collected at baseline from 2003 to 2008. Incident type 2 diabetes was defined as fasting glucose ≥7.0 mmol/l or post-load glucose ≥11.1 mmol/l at follow-up examination (2008-2012), self-reported type 2 diabetes and/or initiation of hypoglycemia medication or insulin during follow-up. Impaired fasting glucose was defined as fasting glucose ≥5.6 mmol/l and <7 mmol/l. Results Of 15,716 participants without diabetes and 11,232 participants without diabetes and impaired fasting glucose at baseline, 1,624 (10.33%) developed incident type 2 diabetes, and 1,004 (8.94%) developed incident impaired fasting glucose during average 4 years of follow-up. After adjusting for sex, age, education, occupation, personal annual income, smoking, physical activity, body mass index, waist/hip ratio, health status, family history of diabetes, compared with never drinking, occasional or moderate alcohol drinking was not associated with risk of incident type 2 diabetes+impaired fasting glucose (odds ratio (OR) 1.08, 95% confidence interval (CI) 0.94-1.25, and 0.89 (0.68-1.16), respectively), but heavy alcohol drinking was associated with a higher risk of incident type 2 diabetes+impaired fasting glucose (1.83, 1.25-2.69). No interactions of sex, overweight/obesity and genetic polymorphisms of ADH1B or ALDH2 genes with alcohol drinking on incident type 2 diabetes and/or impaired fasting glucose were found (p for interaction from 0.12 to 0.81). Conclusions Our results support a detrimental effect of heavy alcohol use on impaired fasting glucose and type 2 diabetes. No protective effect was found for those carrying lower risk alleles for ADH1B and ALDH2 genes.

scholarly journals Change in Cardiovascular Health and Incident Type 2 Diabetes and Impaired Fasting Glucose: The Whitehall II Study

Diabetes Care ◽  
2019 ◽  
Vol 42 (10) ◽  
pp. 1981-1987 ◽  
Author(s):  
Rachel E. Climie ◽  
Thomas T. van Sloten ◽  
Marie-Cécile Périer ◽  
Muriel Tafflet ◽  
Aurore Fayosse ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Impaired Fasting Glucose ◽  
Cardiovascular Health ◽  
Fasting Glucose ◽  
Incident Type ◽  
Incident Type 2 Diabetes

scholarly journals Natriuretic peptides and risk of type 2 diabetes: Results from the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE) Consortium

2021 ◽  
Author(s):  
Chaterina Sujana ◽  
Veikko Salomaa ◽  
Frank Kee ◽  
Simona Costanzo ◽  
Stefan Söderberg ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Assessment ◽  
Cardiovascular Risk ◽  
Inverse Association ◽  
Cardiovascular Risk Assessment ◽  
Multiplicative Interaction ◽  
Incident Type ◽  
Incident Type 2 Diabetes

<p><b>Objective: </b>Natriuretic peptide (NP) concentrations are increased in cardiovascular diseases (CVD) but are associated with a lower diabetes risk. We investigated associations of N-terminal pro-B-type NP (NT-proBNP) and mid-regional pro-atrial NP (MR-proANP) with incident type 2 diabetes stratified by the presence of CVD. </p> <p><b> </b></p> <p><b>Research Design and Methods:</b> Based on the Biomarkers for Cardiovascular Risk Assessment in Europe-(BiomarCaRE) Consortium, we included 45,477 participants with NT-proBNP measurements (1,707 developed type 2 diabetes over 6.5 years of median follow-up; among these, 209 had CVD at baseline) and 11,537 participants with MR-proANP measurements (857 developed type 2 diabetes over 13.8 years of median follow-up; among these, 106 had CVD at baseline). The associations were estimated using multivariable Cox regression models. </p> <p> </p> <p><b>Results: </b>Both NPs were inversely associated with incident type 2 diabetes (hazard ratios [95%CI] per 1-standard deviation increase of log NP: 0.84 [0.79; 0.89] for NT-proBNP and 0.77 [0.71; 0.83] for MR-proANP). The inverse association between NT-proBNP and type 2 diabetes was significant in individuals without, but not in individuals with CVD (0.81 [0.76; 0.86] vs 1.04 [0.90; 1.19]; <i>P</i>-multiplicative interaction= 0.001). There was no significant difference in the association of MR-proANP with type 2 diabetes between individuals without and with CVD (0.75 [0.69; 0.82] vs 0.81 [0.66; 0.99]; <i>P</i>-multiplicative interaction= 0.236). </p> <p> </p> <p><b>Conclusions:</b> NT-proBNP and MR-proANP are inversely associated with incident type 2 diabetes. However, the inverse association of NT-proBNP seems to be modified by the presence of CVD. Further investigations are warranted to confirm our findings and to investigate the underlying mechanisms.</p>

Abstract MP05: Leisure-Time Running and Incident Type 2 Diabetes

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Duck-chul Lee ◽  
Carl J. Lavie ◽  
Timothy S. Church ◽  
Xuemei Sui ◽  
Steven N. Blair
Keyword(s):  
Type 2 Diabetes ◽  
Lower Risk ◽  
Leisure Time ◽  
Cox Regression ◽  
Smoking Status ◽  
Physical Activities ◽  
Incident Type ◽  
Incident Type 2 Diabetes

Introduction: There is still little evidence on the dose-response relation between leisure-time running and incident type 2 diabetes (T2D). Hypothesis: We examined the hypothesis that running reduces the risk of developing T2D. Methods: Participants were 19,347 adults aged 18 to 100 years (mean age, 44) who received an extensive preventive medical examination during 1974-2006 in the Aerobics Center Longitudinal Study. Participants were free of cardiovascular disease, cancer, and T2D at baseline. Running and other physical activities were assessed on the medical history questionnaire by self-reported leisure-time activities during the past 3 months. We defined T2D as fasting glucose ≥126 mg/dl, insulin use, or physician-diagnosis during follow-up medical examinations. Cox regression was used to quantify the association between running and T2D after adjusting for baseline age, sex, examination year, body mass index, smoking status, heavy alcohol drinking, abnormal electrocardiogram, hypertension, hypercholesterolemia, and levels of other physical activities. Results: During an average follow-up of 6.5 years, 1,015 adults developed T2D. Approximately 30% of adults participated in leisure-time running. Runners had a 29% lower risk of developing T2D compared with non-runners. The hazard ratios (95% confidence intervals) of T2D were 0.97 (0.74-1.27), 0.66 (0.49-0.89), 0.62 (0.45-0.85), 0.78 (0.58-1.03), and 0.57 (0.42-0.79) across quintiles (Q) of running time (minutes/week); 0.99 (0.76-1.30), 0.60 (0.44-0.82), 0.72 (0.55-0.94), 0.65 (0.47-0.90), and 0.63 (0.47-0.86) across Q of running distance (miles/week); 1.08 (0.83-1.40), 0.67 (0.50-0.90), 0.70 (0.53-0.93), 0.61 (0.45-0.83), and 0.53 (0.36-0.76) across Q of running frequency (times/week); 0.95 (0.73-1.24), 0.70 (0.52-0.94), 0.62 (0.45-0.84), 0.73 (0.55-0.97), and 0.58 (0.42-0.80) across Q of total amount of running (MET-minutes/week); and 0.95 (0.71-1.28), 0.76 (0.59-0.99), 0.59 (0.42-0.83), 0.66 (0.51-0.85), and 0.62 (0.43-0.90) across Q of running speed (mph), respectively, compared with no running after adjusting for confounders including levels of other physical activities. Conclusions: Participating in leisure-time running is associated with markedly lower risk of developing T2D in adults. Except for those in the very lowest Q for running doses, even relatively low running doses (starting with Q 2) were associated with marked reductions in T2D risk over time, supporting the prescription of running to reduce T2D.

scholarly journals Variability in estimated glomerular filtration rate and the incidence of type 2 diabetes: a nationwide population-based study

2020 ◽  
Vol 8 (1) ◽  
pp. e001187
Author(s):  
You-Bin Lee ◽  
Da Hye Kim ◽  
Eun Roh ◽  
So-Hyeon Hong ◽  
Jung A Kim ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Estimated Glomerular Filtration Rate ◽  
Diabetes Risk ◽  
Incident Type ◽  
Incident Type 2 Diabetes

ObjectiveVariability in estimated glomerular filtration rate (eGFR) has been associated with adverse outcomes in patients with diabetes or chronic kidney disease (CKD). However, no previous study has explored the relationship between eGFR variability and type 2 diabetes incidence.Research design and methodsIn this nationwide, longitudinal, cohort study, we investigated the association between eGFR variability and type 2 diabetes risk using the Korean National Health Insurance Service datasets from 2002 to 2017. eGFR variability was calculated using the variability independent of the mean (eGFR-VIM), coefficient of variation (eGFR-CV), standard deviation (eGFR-SD) and average real variability (eGFR-ARV).ResultsWithin 7 673 905.58 person-years of follow-up (mean follow-up: 3.19 years; n=2 402 668), 11 981 cases of incident type 2 diabetes were reported. The HRs and 95% CIs for incident type 2 diabetes increased according to advance in quartiles of eGFR-VIM (HR (95% CI): Q2, 1.068 (1.009 to 1.130); Q3, 1.077 (1.018 to 1.138); Q4, 1.203 (1.139 to 1.270)) even after adjusting for confounding factors including mean eGFR and mean fasting plasma glucose levels. The subgroup analyses according to risk factors as well as analyses using eGFR-CV, eGFR-SD and eGFR-ARV showed consistent results. The association between increased eGFR variability and type 2 diabetes risk was more prominent in men, individuals with dyslipidemia and those with CKD as shown in the subgroup analysis (p for interaction <0.001).ConclusionsIncreased eGFR variability may be an independent predictor of type 2 diabetes and might be useful for risk stratification of individuals without diabetes.

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