Evidence map›Paper›PMID 42518248›Full record

ArticleSleep2026

Sleep pattern differences in women at midlife: a large-scale multi-country smartwatch study (SONAR).

Claudio N Soares, Carina Dinkel-Keuthage, Fiona C Baker, MinSoeng Kim, JungWon Lee, Julie Dorey, Ann-Kathrin Frenz, DongHyun Lee, Cecilia Caetano, Carsten Moeller and 7 more

Abstract read
In one paragraph

Article in Sleep, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Claudio N SoaresDepartment of Psychiatry, Queen's University, Kingston, ON, Canada.
Carina Dinkel-KeuthageReal-World Evidence Centre of Excellence, Bayer AG, Berlin, Germany.
Fiona C BakerCenter for Health Sciences, SRI International, Menlo Park, CA, United States.ORCID 0000-0001-9602-6165
MinSoeng KimMX Division, Health Platform Development Group, Samsung Electronics, Suwon, Korea.
JungWon LeeMX Division, Health Platform Development Group, Samsung Electronics, Suwon, Korea.
Julie DoreyReal-World Evidence Centre of Excellence, Bayer Healthcare SAS, La Garenne-Colombes, France.
Ann-Kathrin FrenzMedical Affairs Statistics, Bayer AG, Wuppertal, Germany.
DongHyun LeeMX Division, Health AI Algorithm Lab., Samsung Electronics, Suwon, Korea.
Cecilia CaetanoMedical Evidence Women's Healthcare, Bayer Consumer Care, Basel, Switzerland.
Carsten MoellerReal-World Evidence Centre of Excellence, Bayer AG, Berlin, Germany.
Nils SchoofMedical Evidence Women's Healthcare, Bayer AG, Berlin, Germany.ORCID 0000-0003-0509-9217
Frank KramerR&D Data Science & AI, Bayer AG, Wuppertal, Germany.
Elaina BolingerR&D Data Science & AI, Bayer AG, Berlin, Germany.ORCID 0009-0007-0309-2050
Marcelo Graziano CustodioMedical Evidence Women's Healthcare, Bayer Consumer Care, Basel, Switzerland.ORCID 0000-0002-6318-6792
Ricky ChoiDigital Health, Samsung Electronics America, California, United States.
Jennifer KanadyDigital Health, Samsung Electronics America, California, United States.
Pauline M MakiDepartment of Psychiatry, Psychology and Obstetrics and Gynecology, University of Illinois, Chicago, ON, United States.

Funding

Bayer AG
6 · The paper itself

Abstract

STUDY

objectivesTo evaluate associations between age and objectively measured sleep in women. MATERIALS AND

methodsWe analyzed ~3.8 million nights' data from 192 500 female Galaxy Smartwatch users aged 20-65 years (United States, South Korea, Germany, France, and the United Kingdom) with at least seven nights' sleep data during March 2024. We evaluated associations between age and total sleep period duration (TSPD), total sleep time (TST), and wakefulness after sleep onset (WASO; log-transformed) using linear mixed models, adjusting for repeated user measures, country, body mass index, weekday/weekend night, and daily activity time. Reference group was age 20-24 years. Separate models were run for a comparison group of men.

resultsIn women WASO increased notably at midlife; average increases of +5 mins (+15%) for 50-54 years, +9 minutes (+25%) for 55-59 years, and +11 minutes (+32%) for 60-64 years vs. reference group (corresponding increases in men were +3 minutes [+9%], +6 minutes [+16%], and +9 minutes [+27%]). Compared with the reference group, age differences in TSPD and TST were ≤5 minutes less and ≤17 minutes less, respectively. Effects of age on TST and WASO were similar across Western countries; in South Korea, TSPD and TST were shorter across all ages, while increases in WASO were apparent from early adulthood.

conclusionsA pronounced increase in WASO was seen in women at midlife. Women in this stage of life could benefit from early identification and tailored interventions to improve their sleep as part of overall health counseling.

Indexed as

SleepAdultAgedAge FactorsFemaleFranceGermanyHumansMiddle AgedRepublic of KoreaSleep DurationUnited KingdomUnited StatesWakefulnessYoung Adultagemidlifesleepwearablewomen

Identifiers

PMID42518248
PMCPMC13658266

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.