Relationship Among Macronutrients, Dietary Components, and Objective Sleep Variables Measured by Smartphone Apps: Real-World Cross-Sectional Study

作     者：Seol, Jaehoon Iwagami, Masao Kayamare, Megane Christiane Tawylum Yanagisawa, Masashi 

作者机构：Univ Tsukuba Int Inst Integrat Sleep Med WPI IIIS 1-1-1 Tennodai Tsukuba Ibaraki 3058575 Japan Univ Tsukuba Inst Hlth & Sport Sci Tsukuba Ibaraki Japan Natl Ctr Geriatr & Gerontol Ctr Gerontol & Social Sci Dept Frailty Res Obu Aichi Japan Tokyo Metropolitan Inst Gerontol Res Team Promoting Independence & Mental Hlth Tokyo Japan Univ Tsukuba Inst Med Tsukuba Ibaraki Japan Univ Tsukuba PhD Program Humanics Tsukuba Ibaraki Japan SUIMIN Inc Shibuya Tokyo Japan Univ Tsukuba Life Sci Ctr Survival Dynam TARA Tsukuba Ibaraki Japan Univ Tsukuba R&D Ctr Frontiers MIRAI Policy & Technol F MIRAI Tsukuba Ibaraki Japan Univ Texas Southwestern Med Ctr Dept Mol Genet Dallas TX USA 

出 版 物：《JOURNAL OF MEDICAL INTERNET RESEARCH》 (J. Med. Internet Res.)

年 卷 期：2025年第27卷

页      面：e64749页

核心收录：

学科分类：1204[管理学-公共管理] 1001[医学-基础医学(可授医学、理学学位)] 10[医学] 

基　　金：World Premier International Research Center Initiative (WPI) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) Japan Agency for Medical Research and Development (AMED) [JP21zf0127005] COI STREAM initiative launched in 2013 by MEXT COI-NEXT initiative launched in 2020 by MEXT JPMJPF2017 

主　　题：sleep quality dietary health unsaturated fatty acids dietary fiber intake sodium-to-potassium ratio compositional data analysis sleep smartphone application 

摘      要：Background: Few studies have explored the relationship between macronutrient intake and sleep outcomesusing daily data from mobile apps. Objective: This cross-sectional study aimed to examine the associations between macronutrients, dietary components, and sleep parameters, considering their interdependencies. Methods: We analyzed data from 4825 users of the Pok & eacute;mon Sleep and Asken smartphone apps, each used for at least 7 days to record objective sleep parameters and dietary components, respectively. Multivariable regression explored the associations between quartiles of macronutrients (protein;carbohydrate;and total fat, including saturated, monounsaturated, and polyunsaturated fats), dietary components (sodium, potassium, dietary fiber, and sodium-to-potassium ratio), and sleep variables (total sleep time [TST],sleep latency [SL], and percentageofwakefulness after sleep onset[%WASO]). Thelowestintakegroupwasthereference. Compositional data analysis accounted for macronutrient interdependencies. Models were adjusted for age, sex, and BMI. Results: Greater protein intake was associated with longer TST in the third (+0.17, 95% CI 0.09-0.26 h) and fourth (+0.18, 95% CI 0.09-0.27 h) quartiles. In contrast, greater fat intake was linked to shorter TST in the third (-0.11, 95% CI -0.20 to -0.27 h) and fourth (-0.16, 95% CI -0.25 to -0.07 h) quartiles. Greater carbohydrate intake was associated with shorter %WASO in thethird (-0.82%, 95% CI -1.37% to -0.26%) and fourth (-0.57%, 95% CI -1.13% to -0.01%) quartiles, whilegreaterfat intake was linked to longer %WASO in the fourth quartile (+0.62%, 95% CI 0.06%-1.18%). Dietary fiber intake correlated with longer TST and shorter SL. A greater sodium-to-potassium ratio was associated with shorter TST in the third (-0.11, 95% CI -0.20 to -0.02 h) and fourth (-0.19, 95%CI -0.28 to -0.10 h) quartiles;longer SL in thesecond (+1.03, 95%CI 0.08-1.98 min) and fourth (+1.50, 95% CI 0.53-2.47min) quartiles;and longer %WASO inth