Relationship Between Sleep and Nutrition with App Data: A Large-Scale Study

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record and gather data on their eating and sleeping habits.

In response to these trends, this study examined the relationship between nutrients and sleep using data from people who simultaneously used the dietary management application "ASKEN" (Asken, Inc.) and the sleep game application "Pokémon Sleep" (Pokémon, Inc.). The analysis utilized 14 nutrients quantified from daily diet records in ASKEN and the total sleep time, sleep latency, and wakefulness after sleep onset obtained from the three-axis accelerometer data built into smartphones in Pokémon Sleep. Data from 4,825 users, who gave their consent, were analyzed considering the interdependence of the major nutrients. The results showed that (1) the higher the total energy, the shorter the total sleep time and the longer the wakefulness after sleep onset, (2) participants with high protein intake had longer total sleep time, (3) participants with high intake of monounsaturated fatty acid and polyunsaturated fatty acids and (4) those with high intake of polyunsaturated fatty acids have shorter sleep latency and wakefulness after sleep onset, whereas those with high intake of monounsaturated fatty acids have longer sleep latency and wakefulness after sleep onset, (5) participants with high dietary fiber intake have longer total sleep time and shorter sleep latency and wakefulness after sleep onset, and (6) participants with high sodium intake (high sodium-to-potassium ratio) had shorter total sleep time and longer sleep latency and wakefulness after sleep onset.

This work was supported by the World Premier International Research Center Initiative (WPI) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) to M.Y.; Japan Agency for Medical Research and Development (AMED) JP21zf0127005 to M.I. and M.Y.; and the COI STREAM initiative launched in 2013 by MEXT, as well as the COI-NEXT initiative launched in 2020 by MEXT JPMJPF2017 to J.S.

Seol J, Iwagami M, Kayamare MCT, Yanagisawa M.
Relationship Among Macronutrients, Dietary Components, and Objective Sleep Variables Measured by Smartphone Apps: Real-World Cross-Sectional Study.
J Med Internet Res, 2025. doi: 10.2196/64749

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

The Human Touch of Doctors will Still be…

AI-based medicine will revolutionise care including for Alzheimer’s and diabetes, predicts a technology expert, but it must be accessible to all patients. Healing with Artificial Intelligence, written by technology expert Daniele...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...