scholarly journals Tea consumption and risk of diabetes in the Chinese population: a multi-centre, cross-sectional study

2019 ◽  
Vol 123 (4) ◽  
pp. 428-436 ◽  
Author(s):  
Yaling Chen ◽  
Wei Li ◽  
Shanhu Qiu ◽  
Carvalho Vladmir ◽  
Xiaohan Xu ◽  
...  

AbstractThe aim of the present study was to explore the influence of tea consumption on diabetes mellitus in the Chinese population. This multi-centre, cross-sectional study was conducted in eight sites from south, east, north, west and middle regions in China by enrolling 12 017 subjects aged 20–70 years. Socio-demographic and general information was collected by a standardised questionnaire. A standard procedure was used to measure anthropometric characteristics and to obtain blood samples. The diagnosis of diabetes was determined using a standard 75-g oral glucose tolerance test. In the final analysis, 10 825 participants were included and multiple logistic models and interaction effect analysis were applied for assessing the association between tea drinking with diabetes. Compared with non-tea drinkers, the multivariable-adjusted OR for newly diagnosed diabetes were 0·80 (95 % CI 0·67, 0·97), 0·88 (95 % CI 0·71, 1·09) and 0·86 (95 % CI 0·67, 1·11) for daily tea drinkers, occasional tea drinkers and seldom tea drinkers, respectively. Furthermore, drinking tea daily was related to decreased risk of diabetes in females by 32 %, elderly (>45 years) by 24 % and obese (BMI > 30 kg/m2) by 34 %. Moreover, drinking dark tea was associated with reduced risk of diabetes by 45 % (OR 0·55; 95 % CI 0·42, 0·72; P < 0·01). The results imply that drinking tea daily was negatively related to risk of diabetes in female, elderly and obese people. In addition, drinking dark tea was associated with decreased risk of type 2 diabetes mellitus.

Diagnostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1011
Author(s):  
Sofia Nevander ◽  
Eva Landberg ◽  
Marie Blomberg ◽  
Bertil Ekman ◽  
Caroline Lilliecreutz

Gestational diabetes mellitus (GDM) is a common complication with negative impacts on mother and child. The primary aim of this study was to examine whether plasma glucose cutoffs for GDM diagnosis based on venous sampling can be replaced by cutoffs based on capillary sampling. A prospective cross-sectional study was performed at an antenatal care clinic including 175 pregnant women undergoing an oral glucose tolerance test (OGTT). Duplicate samples were collected by capillary and venous puncture while fasting and 1 h and 2 h after an OGTT. Both samples were analyzed on Accu-Chek Inform II. The cutoffs for a GDM diagnosis using capillary samples were corrected from 5.1 to 5.3 mmol/L for the fasting sample, from 10.0 to 11.1 mmol/L for the 1 h sample, and from 8.5 to 9.4 mmol/L for the 2-h sample using half of the dataset. Applying these cutoffs to the remaining dataset resulted in a sensitivity, specificity, and accuracy of 85.0%, 95.0%, and 90.3%, respectively, with a positive predictive value (PPV) of 83%, an negative predictive value (NPV) of 96%, and a positive negative likelihood ratio (LHR) of 16.4 using capillary sampling for the GDM diagnosis at fasting and 2-h after. Corrected cutoffs and capillary samples can be used for the diagnosis of GDM with maintained diagnostic accuracy using Accu-Chek Inform II.


BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e033408 ◽  
Author(s):  
Liming Peng ◽  
Sisi Bi ◽  
Xiangwei Liu ◽  
Tianyi Long ◽  
Yixia Zhao ◽  
...  

ObjectivesTo determine the independent relationship between depressive symptoms and arterial stiffness in the general Chinese population, and to explore possible interactive factors in the relationship.DesignA cross-sectional study.Setting and participantsConsecutive participants who received routine health physical examination in an affiliated hospital of a comprehensive university in Hunan Province, China, between September 2013 and March 2014 were examined. After exclusion of subjects not meeting the criteria, a total of 1334 subjects aged 22–77 years were recruited for final analysis.MeasuresThe Patient Health Questionnaire-9 was employed to assess the degree of depressive symptoms: 0–4 no depressive symptoms, 5–9 mild depressive symptoms and 10–27 moderate to severe depressive symptoms. Brachial-ankle pulse wave velocity (baPWV) was measured to determine arterial stiffness.ResultsThere was a slight increase in baPWV across elevated degrees of depressive symptoms (p=0.025). Multivariate linear regression analysis revealed that mild depressive symptoms and moderate to severe depressive symptoms were independently associated with baPWV compared with no depressive symptoms after adjusting for baseline confounders (beta-coefficient: 40.3, 95% CI 6.6 to 74.1; beta-coefficient: 87.7, 95% CI 24.0 to 151.5, respectively). Further stratified analyses indicated that the relationship between degree of depressive symptoms and baPWV was predominant in subjects who had normal or normal-high blood pressure, or combined with hypertension (p for interaction=0.016), or in subjects with diabetes mellitus (p for interaction=0.004), examined in multivariate linear regressions. In addition, after adjustment, a significant association between moderate to severe depressive symptoms and baPWV was also found in female subjects younger than 60 years, although the interactive effect was not significant (p for interaction=0.056).ConclusionsDepressive symptoms are independently associated with arterial stiffness, especially in subjects whose blood pressures are beyond the optimal range and combined with diabetes mellitus.


Author(s):  
Subrata Chanda ◽  
Amarjeet Singh

Background: In Assam, gestational diabetes mellitus (GDM) screening is not routinely done during antenatal check-up in Assam, whereas anemia screening is done. Consequently, state-wide GDM estimate and its association with anemia in rural Assam is not available. Hence, we aim to study the demographic profile of pregnant women and their anaemia in relation to prevalence of gestational diabetes mellitus in rural Assam.Methods: The present study was part of a larger community based cross-sectional study, conducted in Assam to determine the prevalence of GDM. The pregnant women in the gestational age of 24-28 weeks, who were free of any chronic illnesses, screened for Anaemia and, GDM through oral glucose tolerance test (OGTT) as per diabetes in pregnancy study group in India guideline.Results: A total of 1212 pregnant women underwent the OGTT and test for haemoglobin estimation. Mean age of GDM women was (24.40±4.60 years), slightly higher than non-GDM women (23.50±4.04 years, p=0.007). After hemoglobin estimation, 83% of pregnant women found to be anaemic, 77% of these were GDM positive, which is quite significant with p value 0.025. A higher fraction of the pregnant mothers in our study were found suffering from anemia (83%). The independent association of GDM and anemia adjusted for other variables showed an inverse relationship.Conclusions: Though prevalence of anaemia and GDM in low resource setting in rural Assam found to be quite high, but they have inverse relationship. Anaemic pregnant women were found to be GDM protective. 


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e037836
Author(s):  
Subrata Chanda ◽  
Vishal Dogra ◽  
Najeeb Hazarika ◽  
Hardeep Bambrah ◽  
Ajit Kisanrao Sudke ◽  
...  

ObjectiveTo determine the prevalence and predictors of gestational diabetes mellitus (GDM) in rural Assam, India using a network of Mobile Medical Units.Study designA field-based cross-sectional study.SettingsRural areas of Assam state, India.ParticipantsA total of 1410 pregnant women in gestational age of 24–28 weeksInterventionIdentification of pregnant women in 24–28 weeks of pregnancy from villages and administering them Government of India recommended oral glucose tolerance test for GDM confirmation.Primary and secondary outcome measuresPresence of gestational diabetes among pregnant women, risk factors and predictors of GDM.ResultsA total of 1212 pregnant women underwent the oral glucose tolerance test. One hundred and ninety-eight women were ineligible due to existing chronic diseases or very high blood glucose level before the test. The overall GDM prevalence in Assam was 16.67% (95% CI 14.61% to 18.89%). Women aged 26–30 years (adjusted odds ratio, aOR 1.70; CI 1.14 to 2.52), who passed 10th class (aOR 1.58; CI 1.05 to 2.37), belonging to Muslim religion (aOR 1.52; 95% CI 1.05 to 2.21) and above poverty line (aOR 1.38; 95% CI 1.00 to 1.91) had significantly increased likelihood of developing GDM compared with respective baseline groups (p<0.05). Body mass index, gravida and being non-anaemic were non-significant risk factors for GDM. Family history of diabetes (aOR 1.82; 95% CI 1.08 to 3.06) and smoking (aOR 1.61; 95% CI 1.10 to 2.35) were significant and independent predictors of GDM.ConclusionThe prevalence of GDM in rural Assam is high. The mobile medical units may play a significant role in the implementation of GDM screening, diagnosis, treatment to ensure better maternal and foetal health outcomes in rural Assam.


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 2393-PUB
Author(s):  
KENICHIRO TAKAHASHI ◽  
MINORI SHINODA ◽  
RIKA SAKAMOTO ◽  
JUN SUZUKI ◽  
TADASHI YAMAKAWA ◽  
...  

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