2016
DOI: 10.1016/s2213-8587(16)30220-0
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Liberating non-communicable disease data

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Cited by 5 publications
(2 citation statements)
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References 8 publications
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“…Even though we have chosen to use estimates from NCD-RisC 16 for illustration, and recognise that this work has utility in making comparisons across regions and over time, the reliability of the prevalence data for individual countries in sub-Saharan Africa is questionable. [22][23][24] 21 countries in sub-Saharan Africa had missing data and, in those countries with data, samples were often small and data were old.…”
Section: Panel 2: Estimating the Prevalence Of Diabetes In Sub-saharamentioning
confidence: 99%
“…Even though we have chosen to use estimates from NCD-RisC 16 for illustration, and recognise that this work has utility in making comparisons across regions and over time, the reliability of the prevalence data for individual countries in sub-Saharan Africa is questionable. [22][23][24] 21 countries in sub-Saharan Africa had missing data and, in those countries with data, samples were often small and data were old.…”
Section: Panel 2: Estimating the Prevalence Of Diabetes In Sub-saharamentioning
confidence: 99%
“…Adoption of the modern Western high calorie diet (HCD; high fat and high sugar) has significantly contributed to the global major public health problems of metabolic syndrome and resultant obesity, type-2 diabetes and cardiovascular disease; ageing-associated comorbidities that impact on both healthspan and lifespan [1,2]. Interestingly, epidemiological data suggest that such HCD-associated diseases are rising fastest in in the developing world [2,3], regions where parasitic worms (helminths) and other infectious agents used to be endemic but where they are now being eradicated [4]. Helminths promote their survival by releasing excretorysecretory (ES) products that, by dampening inflammation and promoting tissue repair, act to prevent worm expulsion but also limit host pathology [4,5].…”
Section: Introductionmentioning
confidence: 99%