Global diabetes prevalence has
more than doubled over the last three decades. Nearly 1 in 10 adults worldwide
are now affected by diabetes.
In
the past, it was thought that type 2 diabetes are due to “metabolic syndrome” – the cluster of metabolic
perturbations that includes dyslipidemia, hypertension, and insulin resistance. And obesity is the strongest risk factor for type 2 diabetes.
However,
it was found that about 20% of obese
individuals appear to have normal insulin regulation and normal metabolic
indices (no indication of diabetes), while up to 40% of normal weight people in
some populations manifest aspects of the “metabolic syndrome”.
In
the meantime, several countries with high
diabetes prevalence rates have low obesity rates, and vice versa. High diabetes
yet low obesity prevalence are also observed in countries with
different ethnic compositions.
Trends in diabetes and obesity
are dyssynchronous within some nations. For example, while Sri Lanka’s
diabetes prevalence rate rose from 3% in the year 2000 to 11% in 2010, its
obesity rate remained at 0.1% during that time period. Conversely, diabetes
prevalence in New Zealand declined from 8% in 2000 to 5% in 2010 while obesity
rates in the country rose from 23% to 34% during that decade.
And
so it appears that there is no strong direct relationship between diabetes and
obesity.
PLOS ONE, an international online publication, published a study, found that every 150 kcal/person/day increase in sugar
availability (about one can of soda/day) was associated with increased diabetes
prevalence by 1.1%.
The impact of sugar on diabetes
was independent of sedentary behavior and alcohol use and the effect was
modified but not confounded by obesity or overweight. At the same time, the duration and
degree of sugar exposure correlated significantly with diabetes prevalence in a
dose-dependent manner while declines in sugar exposure
correlated with significant subsequent declines in diabetes rates independently
of other socioeconomic, dietary and obesity prevalence changes. Differences in
sugar availability statistically explain variations in diabetes prevalence
rates at a population level that are not explained by physical activity,
overweight or obesity.
The
method they used is the econometric models
of repeated cross-sectional data on diabetes and nutritional components of food
from 175 countries.
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