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

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...