Traditional hyderabadi foods: carb content analysis

Noorain Fathima , Dr. Khushboo Vyas

Traditional foods, Hyderabad, Carbohydrate counting, Carbohydrate, Type 2 Diabetes Mellitus, Type 2 Diabetes Mellitus, PCOD, PCOS, Glycemic Index, Glycemic load.

Abstract- Religion significantly influences dietary habits, particularly in Islam, where Ramadan alters food consumption from day to night. Traditional foods, developed over generations, adapt to cultural values and food insecurities. In Hyderabad, renowned for its rich culinary heritage, Hyderabadi cuisine blends Mughlai, Turkish, and native influences, with biryani being a standout dish. During Ramadan, food preferences shift towards traditional delights like biryani and kebabs, reflecting the spiritual significance of the month. Additionally, carbohydrate counting plays a vital role in managing health issues such as obesity and PCOS by promoting glycemic control and healthier eating habits. The study reveals that in the local traditional foods of Hyderabad the carbohydrate content ranges from 0.16g - 22.08g per serving i.e., 30gm. The foods containing refined wheat flour (Maida) as a major ingredient has the highest carbohydrate content followed by gram flour (chickpea) having greater carbohydrate proportion.

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"Traditional hyderabadi foods: carb content analysis", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.11, Issue 1, page no.b640-b645, January-2026, Available :https://ijsdr.org/papers/IJSDR2601179.pdf

Volume 11 Issue 1, January-2026

Pages : b640-b645

Paper Reg. ID: IJSDR_307120

Published Paper Id: IJSDR2601179

Downloads: 000253

Research Area: Health Science All

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2601179

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2601179

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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