Association of dietary health indices with frailty DOI Creative Commons
Ting He, Yifei Yan, Dongdong Wang

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 19, 2025

The Healthy Eating Index (HEI-2015) assesses dietary quality, and lower scores may be associated with an increased risk of frailty. However, few epidemiological studies have examined the relationship between HEI-2015 Frailty (FI). This study explores association FI using data from U.S. National Health Nutrition Examination Survey (NHANES), analyzing how factors such as gender age influence this relationship. TNHANES (2007-2018) were analyzed logistic regression models to assess HEI-2015-frailty association. diagnosis was based on physical activity, strength, fatigue, weight change, gait speed, ranging 0 1. A threshold 0.21 classified R package "DALEX" used for feature importance analysis enhance prediction From analysis, we selected 10 key further improve accuracy frailty prediction. Of 14,300 participants, 16.2% (2,322) frail. Frail participants had income, higher BMI, scores. Higher reduced (adjusted OR: 0.69, 95% CI: 0.56-0.87, P < 0.01). negative stronger in women, higher-income groups, those education (P Feature showed top predictor are linked risk. Promoting healthy eating prevent frailty, especially high-risk demographic influencing

Language: Английский

Association of dietary health indices with frailty DOI Creative Commons
Ting He, Yifei Yan, Dongdong Wang

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 19, 2025

The Healthy Eating Index (HEI-2015) assesses dietary quality, and lower scores may be associated with an increased risk of frailty. However, few epidemiological studies have examined the relationship between HEI-2015 Frailty (FI). This study explores association FI using data from U.S. National Health Nutrition Examination Survey (NHANES), analyzing how factors such as gender age influence this relationship. TNHANES (2007-2018) were analyzed logistic regression models to assess HEI-2015-frailty association. diagnosis was based on physical activity, strength, fatigue, weight change, gait speed, ranging 0 1. A threshold 0.21 classified R package "DALEX" used for feature importance analysis enhance prediction From analysis, we selected 10 key further improve accuracy frailty prediction. Of 14,300 participants, 16.2% (2,322) frail. Frail participants had income, higher BMI, scores. Higher reduced (adjusted OR: 0.69, 95% CI: 0.56-0.87, P < 0.01). negative stronger in women, higher-income groups, those education (P Feature showed top predictor are linked risk. Promoting healthy eating prevent frailty, especially high-risk demographic influencing

Language: Английский

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