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Construction and validation of a novel nutrient-based index for risk of aging using an interpretable machine learning framework: results from two population-based studies.

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Title: Construction and validation of a novel nutrient-based index for risk of aging using an interpretable machine learning framework: results from two population-based studies.
Authors: Li RQ; School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province, China., Lu TY; School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province, China., Wang J; School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province, China., Zhang WS; Guangzhou Twelfth People's Hospital, Guangzhou, China., Du J; Nutrilite Health Institute, Building 6, No.720, Cailun Road, Pudong New Area, Shanghai, China., Jin YL; Guangzhou Twelfth People's Hospital, Guangzhou, China., Kan JT; Nutrilite Health Institute, Building 6, No.720, Cailun Road, Pudong New Area, Shanghai, China., Lam TH; School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China., Cheng KK; Institute of Applied Health Research, University of Birmingham, Birmingham, UK., Huang EY; Nutrilite Health Institute, Building 6, No.720, Cailun Road, Pudong New Area, Shanghai, China. huangyunzhiemma@sina.com., Xu L; School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province, China. xulin27@mail.sysu.edu.cn.; School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China. xulin27@mail.sysu.edu.cn.; Institute of Applied Health Research, University of Birmingham, Birmingham, UK. xulin27@mail.sysu.edu.cn.
Source: Nutrition journal [Nutr J] 2025 Dec 29; Vol. 24 (1), pp. 189. Date of Electronic Publication: 2025 Dec 29.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101152213 Publication Model: Electronic Cited Medium: Internet ISSN: 1475-2891 (Electronic) Linking ISSN: 14752891 NLM ISO Abbreviation: Nutr J Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Construction and validation of a novel nutrient-based index for risk of aging using an interpretable machine learning framework: results from two population-based studies.
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  Data: <searchLink fieldCode="AU" term="%22Li+RQ%22">Li RQ</searchLink>; School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province, China.<br /><searchLink fieldCode="AU" term="%22Lu+TY%22">Lu TY</searchLink>; School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province, China.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province, China.<br /><searchLink fieldCode="AU" term="%22Zhang+WS%22">Zhang WS</searchLink>; Guangzhou Twelfth People's Hospital, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Du+J%22">Du J</searchLink>; Nutrilite Health Institute, Building 6, No.720, Cailun Road, Pudong New Area, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Jin+YL%22">Jin YL</searchLink>; Guangzhou Twelfth People's Hospital, Guangzhou, China.<br /><searchLink fieldCode="AU" term="%22Kan+JT%22">Kan JT</searchLink>; Nutrilite Health Institute, Building 6, No.720, Cailun Road, Pudong New Area, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Lam+TH%22">Lam TH</searchLink>; School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China.<br /><searchLink fieldCode="AU" term="%22Cheng+KK%22">Cheng KK</searchLink>; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.<br /><searchLink fieldCode="AU" term="%22Huang+EY%22">Huang EY</searchLink>; Nutrilite Health Institute, Building 6, No.720, Cailun Road, Pudong New Area, Shanghai, China. huangyunzhiemma@sina.com.<br /><searchLink fieldCode="AU" term="%22Xu+L%22">Xu L</searchLink>; School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province, China. xulin27@mail.sysu.edu.cn.; School of Public Health, The University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China. xulin27@mail.sysu.edu.cn.; Institute of Applied Health Research, University of Birmingham, Birmingham, UK. xulin27@mail.sysu.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%22101152213%22">Nutrition journal</searchLink> [Nutr J] 2025 Dec 29; Vol. 24 (1), pp. 189. <i>Date of Electronic Publication: </i>2025 Dec 29.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101152213 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1475-2891 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214752891%22">14752891 </searchLink><i>NLM ISO Abbreviation: </i>Nutr J <i>Subsets: </i>MEDLINE
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        Value: 10.1186/s12937-025-01256-9
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      – Code: eng
        Text: English
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        StartPage: 189
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            – D: 29
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              Text: 2025 Dec 29
              Type: published
              Y: 2025
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