Coffee, Decaffeinated Coffee, and Tea Consumption Linked to Lower Diabetes Risk
|
By HospiMedica International staff writers Posted on 22 Dec 2009 |
High intakes of coffee, decaffeinated coffee, and tea are linked to a reduced risk of Type 2 Diabetes Mellitus, according to a pooled review of studies.
Researchers at the George Institute for International Health (Sydney, Australia), the University of Glasgow (United Kingdom), and other institutions conducted a systematic review and meta-analysis investigating the association among coffee, decaffeinated coffee, and tea consumption with the risk of diabetes mellitus. The meta-analysis included data obtained from 18 studies that reported on the association between coffee consumption and diabetes; six studies that reported estimates of the association between decaffeinated coffee and diabetes; and seven studies that reported on the association of tea.
The results of the pooled meta-analysis found that drinking coffee was inversely related to risk of diabetes (more coffee was linked to lower risk). After adjusting for potential confounders, every extra cup of coffee consumed in a day was linked to a 7% reduction in the excess risk of diabetes; drinking 3 to 4 cups per day was linked to a 25% lower risk than drinking none or up to two cups per day. In those studies that assessed decaffeinated coffee consumption, drinking more than 3 to 4 cups a day was linked to about one third lower risk of diabetes, compared to none. Drinking more than 3 to 4 cups of tea per day was linked to a one fifth lower risk of diabetes, compared to non-tea drinking. The authors suggested the effect of tea and coffee consumption on diabetes risk could be due to direct biological effects, since their apparent protective effect appears to be independent of potential confounding variables, and could partly be due to other compounds present in tea and coffee, such as magnesium, or antioxidants such as lignans or chlorogenic acids. The study was published in the December 14, 2009, issue of the Archives on Internal Medicine.
"If such beneficial effects were observed in interventional trials to be real, the implications for the millions of individuals who have diabetes mellitus, or who are at future risk of developing it, would be substantial,” concluded first author Rachel Huxley, M.D., of the George Institute, and colleagues. "It could also be envisaged that we will advise our patients most at risk for diabetes mellitus to increase their consumption of tea and coffee in addition to increasing their levels of physical activity and weight loss.”
Related Links:
George Institute for International Health
University of Glasgow
Researchers at the George Institute for International Health (Sydney, Australia), the University of Glasgow (United Kingdom), and other institutions conducted a systematic review and meta-analysis investigating the association among coffee, decaffeinated coffee, and tea consumption with the risk of diabetes mellitus. The meta-analysis included data obtained from 18 studies that reported on the association between coffee consumption and diabetes; six studies that reported estimates of the association between decaffeinated coffee and diabetes; and seven studies that reported on the association of tea.
The results of the pooled meta-analysis found that drinking coffee was inversely related to risk of diabetes (more coffee was linked to lower risk). After adjusting for potential confounders, every extra cup of coffee consumed in a day was linked to a 7% reduction in the excess risk of diabetes; drinking 3 to 4 cups per day was linked to a 25% lower risk than drinking none or up to two cups per day. In those studies that assessed decaffeinated coffee consumption, drinking more than 3 to 4 cups a day was linked to about one third lower risk of diabetes, compared to none. Drinking more than 3 to 4 cups of tea per day was linked to a one fifth lower risk of diabetes, compared to non-tea drinking. The authors suggested the effect of tea and coffee consumption on diabetes risk could be due to direct biological effects, since their apparent protective effect appears to be independent of potential confounding variables, and could partly be due to other compounds present in tea and coffee, such as magnesium, or antioxidants such as lignans or chlorogenic acids. The study was published in the December 14, 2009, issue of the Archives on Internal Medicine.
"If such beneficial effects were observed in interventional trials to be real, the implications for the millions of individuals who have diabetes mellitus, or who are at future risk of developing it, would be substantial,” concluded first author Rachel Huxley, M.D., of the George Institute, and colleagues. "It could also be envisaged that we will advise our patients most at risk for diabetes mellitus to increase their consumption of tea and coffee in addition to increasing their levels of physical activity and weight loss.”
Related Links:
George Institute for International Health
University of Glasgow
Latest Critical Care News
- AI Tool Identifies Children With Pneumonia Requiring Hospital Care
- AI Ultrasound System Improves Safety of Blood–Brain Barrier Opening
- CE-Marked Smartphone AI Enables Autonomous Skin Cancer Assessment at Point of Care
- Handheld Optical Device Screens for Early Necrotizing Enterocolitis in Preterm Infants
- Home Blood Pressure Telemonitoring Linked to Fewer Cardiovascular Events
- Tiny Wearable Patch Tracks Heart and Respiratory Changes at Home
- Smartphone Heart Rhythm App Reduces Unnecessary Cardioversion Procedures
- AI-Guided Mammogram Triage Speeds Same-Day Breast Cancer Workup
- Handheld ECG Algorithm Shows Promise for At-Home Heart Attack Risk Assessment
- Bedside CSF Monitor Detects Early Infection in Fluid Drains
- Wearable Ultrasound Patch Noninvasively Paces Heart to Stabilize Arrhythmias
- New Practice Guidance Supports Prostatic Artery Embolization for BPH Symptoms
- AI ECG Tool Detects Cardiac Amyloidosis for Early Screening
- Cuffless Wearable Enables Continuous Blood Pressure Monitoring for Hypertension Care
- AI-Guided System Supports Cardiac Ultrasound Training on Cart-Based Systems
- AI ECG Index Tracks Pubertal Maturation in Children and Adolescents
Channels
Artificial Intelligence
view channel
New AI ECG Tool Detects Early Heart Disease
Heart disease remains a leading cause of premature death, claiming almost 18 million lives each year. Early detection is crucial because timely intervention can change prognosis and conserve resources.... Read more
AI Platform Supports Noninvasive Remote Hemodynamic Monitoring in Heart Failure
Heart failure remains a leading cause of hospitalization in adults over 65, affecting more than 6.7 million people in the U.S. Clinicians often lose visibility into hemodynamic deterioration once patients... Read moreSurgical Techniques
view channel
Computer-Assisted Vacuum Thrombectomy System Cleared for Stroke Care
Effective clot removal is central to acute ischemic stroke care, as incomplete extraction can increase the risk of serious complications, disability, or death. Interventional teams continue to seek approaches... Read more
Near-Infrared Exoscope Enables Real-Time Perfusion Assessment and Lymphatic Mapping in Open Surgery
Open surgery can make it difficult to assess tissue perfusion and lymphatic flow in real time, limiting intraoperative certainty. Near-infrared fluorescence with indocyanine green reveals details not visible... Read morePatient Care
view channel
AI Avatar Doctor Improves Patient Understanding Before Radiotherapy
Radiation oncology consultations require patients to grasp complex concepts quickly, yet anxiety and information overload often undermine understanding and informed consent. Poor comprehension can also... Read more
Wearable Sleep Data Predict Adherence to Pulmonary Rehabilitation
Chronic obstructive pulmonary disease (COPD) is a long-term lung disorder that makes breathing difficult and often disturbs sleep, reducing energy for daily activities. Limited engagement in pulmonary... Read moreHealth IT
view channel
AI Tool Screens for Primary Aldosteronism Using Routine EHR Data
Primary aldosteronism, an adrenal disorder that causes excess aldosterone and secondary hypertension, is frequently missed despite its association with cardiovascular complications. Underdiagnosis can... Read moreAI-Enabled ECG Software Predicts One-Year Atrial Fibrillation Risk
Atrial fibrillation (AF) is the most common cardiac arrhythmia and is associated with increased risks of stroke, heart failure, and death. Detection remains challenging because AF is often asymptomatic... Read morePoint of Care
view channel
Handheld AI Device for Point-of-Care Skin Lesion Assessment Receives CE Mark
DermaSensor (Miami, FL, USA) has received a Class IIb CE Mark for its handheld DermaSensor device, marking the start of the company’s global expansion strategy. The certification demonstrates conformity... Read more
Portable Immunoassay System Advances Toward Point-of-Care Biomarker Testing
Proxim Diagnostics Corp. (Santa Clara, CA, USA) has announced that its Profile System, a handheld point-of-care immunoassay platform, has completed development. The milestone includes completion... Read more
Portable MRI System Accelerates Emergency Brain Imaging and Triage
Emergency departments frequently face delays accessing conventional magnetic resonance imaging (MRI) for patients with suspected neurological emergencies. Such waits can slow triage, prolong boarding,... Read more







