Nutrition, metabolism, and cardiovascular diseases : NMCD · 2023
Nutritional patterns as machine learning predictors of liver health in a population of elderly subjects.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Lampignano Luisa, Tatoli Rossella, Donghia Rossella, Bortone Ilaria, Castellana Fabio, Zupo Roberta, Lozupone Madia, Panza Francesco, Conte Caterina, Sardone Rodolfo
Аннотация
BACKGROUND AND AIMS: Non-alcoholic hepatic steatosis affects 25% of adults worldwide and its prevalence increases with age. There is currently no definitive treatment for NAFLD but international guidelines recommend a lifestyle-based approach, including a healthy diet. The aim of this study was to investigate the interactions between eating habits and the risk of steatosis and/or hepatic fibrosis, using a machine learning approach, in a non-institutionalized elderly population.
METHODS AND RESULTS: We recruited 1929 subjects, mean age 74 years, from the population-based Salus in Apulia Study. Dietary habits and the risk of steatosis and hepatic fibrosis were evaluated with a validated food frequency questionnaire, the Fatty Liver Index (FLI) and the FIB-4 score, respectively. Two dietary patterns associated with the risk of steatosis and hepatic fibrosis have been identified. They are both similar to a "western" diet, defined by a greater consumption of refined foods, with a rich content of sugars and saturated fats, and alcoholic and non-alcoholic calorie drinks.
CONCLUSION: This study further supports the concept of diet as a factor that significantly influences the development of the most widespread liver diseases. However, longitudinal studies are needed to better understand the causal effect of the consumption of particular foods on fat accumulation in the liver.
METHODS AND RESULTS: We recruited 1929 subjects, mean age 74 years, from the population-based Salus in Apulia Study. Dietary habits and the risk of steatosis and hepatic fibrosis were evaluated with a validated food frequency questionnaire, the Fatty Liver Index (FLI) and the FIB-4 score, respectively. Two dietary patterns associated with the risk of steatosis and hepatic fibrosis have been identified. They are both similar to a "western" diet, defined by a greater consumption of refined foods, with a rich content of sugars and saturated fats, and alcoholic and non-alcoholic calorie drinks.
CONCLUSION: This study further supports the concept of diet as a factor that significantly influences the development of the most widespread liver diseases. However, longitudinal studies are needed to better understand the causal effect of the consumption of particular foods on fat accumulation in the liver.