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Erschienen in:
24.04.2019 | Original Article
Prevalence and detecting spatial clustering of diabetes at the district level in India
Erschienen in: Journal of Public Health | Ausgabe 5/2020
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Background
Diabetes is increasingly becoming a prevalent disease in developing countries such as India. This has raised great concern among public health practitioners, researchers and policy makers. The present study aims to examine the geographical variations in the prevalence of diabetes and its contextual risk factors including production and consumption of different food groups in the districts of India.
Methods
We used state- and district-level data from multiple sources. These include National Family Health Survey-4 (2015–2016), socio-economic data from the census of India (2011), per capita crop production from the Ministry of Agriculture and Farmers and consumption of different food groups from the 68th round of the National Sample Survey. The study adopted advanced spatial statistical analysis including the Moran index and spatial regression to fulfil the objectives of the article.
Results
The study reveals the remarkable geographical variations in diabetes risk in the districts of India. Districts from the coastal area have more diabetes prevalence. Per capita calorie consumption, calorie intake from sugar and production of sugar crops in districts are significantly positively related to diabetes prevalence. On the other hand, protein intake and calorie consumption from pulses and nuts and milk and dairy products reduce the risk of diabetes.
Conclusion
The study recommends that public health programmes target hot-spot districts with high prevalence of diabetes and encourage people to increase consumption of protein-rich diets including pulses, nuts and milk products to reduce diabetes prevalence.