Evidence map›Paper›PMID 40991688›Full record

ArticleScience advances2025

Exploring nationwide patterns of sleep problems from late adolescence to adulthood using machine learning.

Adrian G Zucco, Henning Johannes Drews, Jeroen F Uleman, Samir Bhatt, Naja Hulvej Rod

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Adrian G ZuccoCopenhagen Health Complexity Center, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-9827-1559
Henning Johannes DrewsCopenhagen Health Complexity Center, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-9929-3194
Jeroen F UlemanCopenhagen Health Complexity Center, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-5050-8505
Samir BhattSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-0891-4611
Naja Hulvej RodCopenhagen Health Complexity Center, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-6400-5105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep problems among young adults pose a major public health challenge. Leveraging nationwide health surveys and registers from Denmark, we investigated patterns of sleep problems from late adolescence to adulthood and explored early life-course determinants. We generated life-course embeddings using unsupervised machine learning on data from 2.2 million individuals born from 1980 to 2015. We used this landscape to identify neighboring factors of sleep problems. We observed a substantial increase in self-reported sleep problems among individuals aged 15 to 45, from 34 to 49% between 2010 and 2021, and a 10-fold increase in melatonin use. We also found relevant clusters of sleep-related prescriptions, diagnoses, and procedures with age-specific incidence patterns. Specific childhood adversities, such as sibling psychiatric illness, foster care, and parental divorce, were shared factors across multiple sleep disorders such as insomnia and nightmares. These findings underscore the complex interplay between medical and psychosocial factors in sleep.

Indexed as

Machine LearningSleep Wake DisordersAdolescentAdultDenmarkFemaleHumansMaleMelatoninMiddle AgedSleepYoung AdultMelatonin

Identifiers

PMID40991688
PMCPMC12459426

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.