Department of Community Nutrition, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran , jabbari.m@sbmu.ac.ir
Abstract: (5 Views)
Background and Aims: Given the heavy economic burden of non-communicable diseases on the Iranian health system and the need to shift from treatment-oriented to smart prevention, access to low-cost, indigenous screening tools is a national necessity. This study aimed to respond to this need and develop an applicable scoring system based on nutritional indicators to predict the eight-year risk of cardiovascular disease mortality. Methods: In this study, a risk prediction model for cardiovascular disease mortality was developed using data from 43878 participants in the Golestan Cohort Study. The final model included nine available variables including age, physical activity level, waist-to-hip ratio, and six usual nutritional indicators in the Iranian dietary pattern including daily consumption of tea, vegetables, white meat, salt, dairy products, and percentage of daily energy intake from protein. The discrimination power and accuracy of the model were also evaluated in two stages of development and validation. Results: The proposed model achieved acceptable resolution in both stages, which is competitive with expensive laboratory models. Also, the high calibration index of 0.81 indicates high prediction accuracy in the Iranian population. This tool, in the form of a simple scoring system, allows for rapid classification of individuals into four risk levels. Conclusions: Given its high accuracy and ease of implementation, integrating this nutritional index into the electronic health record (SIB system) and using it as an alternative to costly tests in deprived areas can be an effective step in improving national screening and preventing premature cardiovascular deaths. This tool is a practical stimulus not only for specialists, but also for lifestyle modification at the community level.
Jabbari M, Eini-Zinab H, Hekmatdoost A. Improving National Health Screening Using the Nutritional Risk Index: A Low-Cost Strategy for Screening Individuals at Risk for Cardiovascular Diseases in Iran. Iranian J Nutr Sci Food Technol 2026; 20 (5) :183-188 URL: http://nsft.sbmu.ac.ir/article-1-4155-en.html