diabetes

Type of vegetarian diet, obesity and diabetes in adult Indian population

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…vegetarianism in India is associated with unique characteristics. It is usually a lifelong pattern and adherence crosses multiple generations; it generally comprises high consumption of whole grains, legumes, nuts and seeds and dairy with spices and seasonings unique to the Indian diet. Hence, the combination/or the pattern of vegetarian diet may yield different findings than similar studies conducted in the West and it is thus possible to assess dietary associations with chronic diseases which have been difficult in the West due to low frequency. This study uses data from the third National Family Health Survey (NFHS-3, 2005–06), a survey of 109,041 Indian households which collected information on a wide range of dietary, societal, lifestyle, and environmental determinants of morbidity and chronic ailments including diabetes [16]. The NFHS-3 provides a unique opportunity to examine associations between types of vegetarian diet and diabetes and obesity in a large, nationally representative sample.

In this large, nationally representative sample of Indian adults, lacto-, lacto-ovo and semi-vegetarian diets were associated with a lower likelihood of diabetes. These findings may assist in the development of interventions to address the growing burden of overweight/obesity and diabetes in Indian population. However, prospective studies with better measures of dietary intake and clinical measures of diabetes are needed to clarify this relationship.

Interesting study with limitations as noted by the researchers.  Go here for the full study report.

5 Classifications of Diabetes Proposed

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  1. Severe autoimmune diabetes (formerly type 1 diabetes): affected 6% of patients in the derivation cohort; characteristics include early-onset disease, relatively low BMI, and GADA-positive
  2. Severe insulin-deficient diabetes: 18% of patients; GADA-negative but similar to cluster 1; lowest HOMA2-B scores
  3. Severe insulin-resistant diabetes: 15%; higher HOMA2-IR scores
  4. Mild obesity-related diabetes: 22%; obese, but not insulin resistant
  5. Mild age-related diabetes: 39%; older than other clusters, but largely similar to cluster 4

Quoted from  NEJM Journal Watch.

 

My Wakelet

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I’m playing with a new social sharing platform called Wakelet.  Click here for a local news article.

So what is Wakelet? It’s a web application that lets people, businesses and academic institutions organise links to online information into neatly-presented collections called ‘wakes’.

In a world of information overload, big data and real-time streams, search engines work hard to index the ever-growing amount of online information. While search algorithms help us find isolated pieces of information faster, they don’t know which ones are most relevant to us as individuals. Wakelet brings a human touch to this process by giving us the ability to easily collect and organise anything we read, view or listen to in a way that’s useful to us and to others.

Check out my diabetes Wakelet.  I’m toying with the idea of cataloguing the online articles I read rather than link one by one on the blog.  I started my wakes in November 2017 and we’ll see how it goes.  At first blush I don’t see this platform replacing my blogs.  But I think it may be useful for my followers to have one stop shopping for the fruits of my research.  Enjoy.

Abdominal Aortic Calcification Among Individuals With and Without Diabetes: The Jackson Heart Study

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In the Jackson Heart Study (JHS), we examined the association of diabetes with abdominal aortic calcification (AAC) among African Americans. Among included individuals (n = 1,664), the mean age was 57 (± 11) years, 69% were female, and 18.3% had diabetes (based on fasting blood glucose [FBG], HbA1c, use of glucose-lowering medications, or physician diagnosis). The median AAC and coronary artery calcification (CAC) scores were 904.15 (interquartile range 0–1093.10) and 0 (0–96.19), respectively. The prevalence of any AAC or CAC was 69% and 49%, respectively. Individuals with diabetes were older, had higher BMI, had higher systolic blood pressure and prevalence of hypertension, had lower HDL levels, were less affluent or physically active, had poorer nutritional intake, and had higher levels of hs-CRP.

Source: Diabetes Care

Childhood obesity quadruples risk of developing type 2 diabetes- ScienceDaily

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Children with obesity face four times the risk of developing type 2 diabetes compared to children with a body mass index (BMI) in the normal range, according to a study published in the Journal of the Endocrine Society.

Source: Childhood obesity quadruples risk of developing type 2 diabetes: Large-scale UK study examines link between body mass index, metabolic health — ScienceDaily

I’m screwed again.

Hemoglobin A1c and Mortality in Older Adults With and Without Diabetes: Results From the National Health and Nutrition Examination Surveys (1988–2011)

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CONCLUSIONS An HbA1c >8.0% was associated with increased risk of all-cause and cause-specific mortality in older adults with diabetes. Our results support the idea that better glycemic control is important for reducing mortality; however, in light of the conflicting evidence base, there is also a need for individualized glycemic targets for older adults with diabetes depending on their demographics, duration of diabetes, and existing comorbidities.

Source: Diabetes Care

HgA1C and the Prediction of DM2

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RESULTS – During long-term follow-up of children and adolescents who did not initially have diabetes, the incidence rate of subsequent diabetes was fourfold (in boys) as high and more than sevenfold (in girls) as high in those with HbA1c ≥5.7% as in those with HbA1c ≤5.3%—greater rate ratios than experienced by adults in the same HbA1c categories. Analyses of ROCs revealed no significant differences between HbA1c, FPG, and 2hPG in sensitivity and specificity for identifying children and adolescents who later developed diabetes. CONCLUSIONS – HbA1c is a useful predictor of diabetes risk in children and can be used to identify prediabetes in children with other type 2 diabetes risk factors with the same predictive value as FPG and 2hPG.

Source: Diabetes Care