Is the Indian Dietary Pattern Associated WithType 2 Diabetes? A Pan-India Randomized Cluster Sample Study. Issue 3 (July 2020)

• Record Type: Journal Article
• Authors: Nagarathna, Raghuram; Anand, Akshay; Nanda, Sapna; Patil, Suchitra S.; Singh, Amit; Rajesh, S. K.; Nagendra, H. R.
• Is Part Of: Annals of neurosciences. Volume 27:Issue 3/4(2020)
• Page Start: 175
• Page End: 182
• Publication Date: 2020-07
• Subjects: Diabetes -- Milk -- Meat -- Junk food -- Indian population; Neurosciences -- Periodicals; Nervous system -- Diseases -- Periodicals; Nervous system -- Diseases; Neurosciences; Nervous System Diseases; Periodicals; Electronic journals; Electronic journals; Periodical; 616.8
• DOI: 10.1177/09727531211005226
• Languages: English
• ISSNs: 0972-7531

Abstract

Background: Diabetes is associated strongly with many neurodegenerative diseases and is also a lifestyle disorder. A good glycemic status depends on diet management and physical activity. There are several studies available on the relationship between diet habits and impact on diabetes. Purpose: The objective of this study was to check the association of different dietary factors with glucose levels and lipid values in type 2 diabetes from a part of a large nationwide trial. Methods: This was the data fromapan-India multicentered cluster randomized controlled study covering 60 states and 4 union territories; 17, 285 individuals were surveyed for dietary factors. Amongst them, data of 12, 500 individuals were analyzed.Males were 54% and 60% individuals were from urban areas. Results: The analysis of the results showed that consumption (usual/often) of milk(odds ratio, OR = 7.180), meat (OR = 6.81), less fiber (OR = 17.77), and less fruits (OR = 14.71) was strongly and positively associated with fasting blood glucose ( P <.001). The postprandial blood glucose (PPBG) in diabetes individuals also had a strong positive association ( P <.001) with consumption (usual/often) of meat (OR = 22.82) and milk (OR = 17.19). In prediabetes individuals, milk was significantly ( P <.001) associated with fasting blood glucose (OR = 2.74). In nondiabetes individuals also, milk was significantly associated with postprandial blood glucose (OR = 2.56). Consumption of meat was associated with high cholesterol (OR = 1.465). Consumption of junk food was associated significantly ( P <.001 )with the status of known diabetes (OR = 1.345) and known hypertension (OR = 1.247). Conclusion: Consumption of milk, meat, less vegetables, less fruits, and junk food has a significant effect on the glycemic status and cholesterol levels, and also on the status of known diabetes and hypertension.