The Association Between Age at Initiation of Alcohol Consumption and Type 2 Diabetes Mellitus: A Cohort Study of 0.5 Million Persons in China

Li, Haoxin; Lv, Jun; Yu, Canqing; Guo, Yu; Zheng, Bin; Fan, Junning; Yang, Ling; Du, Huaidong; Long, Huajun; Zhang, Zengzhi; Chen, Junshi; Chen, Zhengming; Huang, Tao; Li, Liming

doi:10.1093/aje/kwaa119

Cited by 6 publications

(7 citation statements)

References 30 publications

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“…In this study, nearly 3% of geriatric admissions with known prediabetes demonstrated concomitant AUD. Various studies have evaluated the role of alcohol consumption in the development of prediabetes and type 2 diabetes mellitus (T2DM) 1,7,8 . Consumption of alcohol leads to the production of reactive oxygen species, which can impair B‐cell mitochondrial function, leading to apoptosis 1 .…”

Section: Discussionmentioning

confidence: 99%

“…Alcohol consumption leads to development of prediabetes and diabetes which ultimately can lead to its complications such as stroke. Li et al showed a positive correlation of dose‐dependent effect of duration of alcohol consumption with the development of impaired glucose tolerance 8 . Han et al found that alcohol intake of >57 g/day was associated with an increased risk of development of prediabetes and diabetes mellitus 7 .…”

Section: Discussionmentioning

confidence: 99%

“…Various studies have evaluated the role of alcohol consumption in the development of prediabetes and type 2 diabetes mellitus (T2DM). 1,7,8 Consumption of alcohol leads to the production of reactive oxygen species, which can impair B-cell mitochondrial function, leading to apoptosis. 1 Secondarily, metabolites of alcohol like acetaldehyde toxicity, excess fatty acid and triglyceride synthesis may contribute to the development of prediabetes and T2DM.…”

Section: Discussionmentioning

confidence: 99%

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Impact of alcohol use disorder on stroke risk in geriatric patients with prediabetes: A nationwide analysis

et al. 2021

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Background With rising trends of prediabetes in the geriatric population, we aim to assess the impact of alcohol use disorder (AUD) on the outcomes of patients with prediabetes. Methods Hospitalisations amongst the patients (≥65 years) with prediabetes were identified with a diagnosis of AUD and in‐hospital stroke using the National Inpatient Sample database (2007‐2014). We compared demographics, comorbidities, all‐cause mortality, stroke rate and resource utilisation in the elderly prediabetes patients with vs without AUD. Primary outcomes of interest were all‐cause mortality and stroke rate, whereas secondary outcomes were the length of stay (days), disposition and resource utilisation in the AUD cohort as compared to the non‐AUD cohort. Results We had a total of 1.7 million hospitalisations amongst elderly patients with prediabetes, 2.8% (n = 47 962) had AUD. The AUD cohort was more often younger (71 vs 77 years), male (74.1% vs 43.5%) and nonelectively (84.5% vs 78.3%) admitted than non‐AUD cohort. The AUD cohort more often consisted of African Americans (9.0% vs 6.6%) and Hispanics (5.3% vs 5.1%) than non‐AUD cohort. The AUD cohort showed higher rates of smoking, drug abuse, chronic obstructive pulmonary disease, coagulopathy, peripheral vascular disease and fluid‐electrolyte disorders whereas a lower rate of cardiovascular risk factors than non‐AUD cohort. All‐cause mortality (4.4% vs 3.9%) and stroke (5.5% vs 4.8%, aOR 1.33, 95% CI 1.28‐1.39) were significantly higher in the AUD cohort with prolonged stay, higher charges and frequent transfers than non‐AUD cohort. Conclusion AUD in the elderly prediabetes patients increases the stroke risk by up to 33% which can adversely influence the survival rate and healthcare infrastructure.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Impact of alcohol use disorder on stroke risk in geriatric patients with prediabetes: A nationwide analysis

et al. 2021

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“…It is essential to acknowledge that a delayed age of alcohol onset and a reduced drinking duration result in a decreased risk of T2DM, as emphasized by the largest prospective cohort of Chinese adults study, which comprised a total of 512,712 participants [73].…”

Section: Linkage Of Alcohol Consumption With Type 2 Diabetes Mellitusmentioning

confidence: 99%

Consensus and Controversy in the Debate over the Biphasic Impact of Alcohol Consumption on the Cardiovascular System

et al. 2021

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In the past few decades, research has focused on the importance of addressing modifiable risk factors as a means of lowering the risk of cardiovascular disease (CVD), which represents the worldwide leading cause of death. For quite a long time, it has been considered that ethanol intake has a biphasic impact on the cardiovascular system, mainly depending on the drinking pattern, amount of consumption, and type of alcoholic beverage. Multiple case-control studies and meta-analyses reported the existence of a “U-type” or “J-shaped” relationship between alcohol and CVD, as well as mortality, indicating that low to moderate alcohol consumption decreases the number of adverse cardiovascular events and deaths compared to abstinence, while excessive alcohol use has unquestionably deleterious effects on the circulatory system. However, beginning in the early 2000s, the cardioprotective effects of low doses of alcohol were abnegated by the results of large epidemiological studies. Therefore, this narrative review aims to reiterate the association of alcohol use with cardiac arrhythmias, dilated cardiomyopathy, arterial hypertension, atherosclerotic vascular disease, and type 2 diabetes mellitus, highlighting literature disagreements over the risk and benefits of low to moderate drinking on the cardiovascular system.

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“…In another study, Tatsukawa et al [ 8 ] found that the risk of diabetes in the Japanese population was significantly positively correlated with trunk fat and significantly negatively correlated with leg fat. Li et al [ 9 ] revealed that the age of alcohol onset and drinking duration are risk factors for T2DM. (ii) Studies on relationship among the various risk factors have provided a basis and direction for the investigation of potential aetiologies of diabetes.…”

Section: Introductionmentioning

confidence: 99%

Improved Functional Causal Likelihood-Based Causal Discovery Method for Diabetes Risk Factors

Gao

Xie

Wang

et al. 2021

Computational and Mathematical Methods in Medicine

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Diabetes mellitus is a disease that has reached epidemic proportions globally in recent years. Consequently, the prevention and treatment of diabetes have become key social challenges. Most of the research on diabetes risk factors has focused on correlation analysis with little investigation into the causality of these risk factors. However, understanding the causality is also essential to preventing the disease. In this study, a causal discovery method for diabetes risk factors was developed based on an improved functional causal likelihood (IFCL) model. Firstly, the issue of excessive redundant and false edges in functional causal likelihood structures was resolved through the construction of an IFCL model using an adjustment threshold value. On this basis, an IFCL-based causal discovery algorithm was designed, and a simulation experiment was performed with the developed algorithm. The experimental results revealed that the causal structure generated using a dataset with a sample size of 2000 provided more information than that produced using a dataset with a sample size of 768. In addition, the causal structures obtained with the developed algorithm had fewer redundant and false edges. The following six causal relationships were identified: insulin→plasma glucose concentration, plasma glucose concentration→body mass index (BMI), triceps skin fold thickness→BMI and age, diastolic blood pressure→BMI, and number of times pregnant→age. Furthermore, the reasonableness of these causal relationships was investigated. The algorithm developed in this study enables the discovery of causal relationships among various diabetes risk factors and can serve as a reference for future causality studies on diabetes risk factors.

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The Association Between Age at Initiation of Alcohol Consumption and Type 2 Diabetes Mellitus: A Cohort Study of 0.5 Million Persons in China

Cited by 6 publications

References 30 publications

Impact of alcohol use disorder on stroke risk in geriatric patients with prediabetes: A nationwide analysis

Impact of alcohol use disorder on stroke risk in geriatric patients with prediabetes: A nationwide analysis

Consensus and Controversy in the Debate over the Biphasic Impact of Alcohol Consumption on the Cardiovascular System

Improved Functional Causal Likelihood-Based Causal Discovery Method for Diabetes Risk Factors

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