Evidence map›Paper›PMID 38418905›Full record

ArticleScientific reports2024

Self-reported and tracked nighttime smartphone use and their association with overweight and cardiometabolic risk markers.

Thea Otte Andersen, Christoffer Sejling, Andreas Kryger Jensen, Agnete Skovlund Dissing, Elin Rosenbek Severinsen, Henning Johannes Drews, Thorkild I A Sørensen, Tibor V Varga, Naja Hulvej Rod

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Thea Otte AndersenSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark. than@sund.ku.dk.ORCID 0000-0002-5575-4307
Christoffer SejlingSection of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Andreas Kryger JensenSection of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Agnete Skovlund DissingReal World Evidence & Epidemiology, Department of Value Evidence and Patient Insights, H. Lundbeck A/S, Copenhagen, Denmark.
Elin Rosenbek SeverinsenSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Henning Johannes DrewsSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Thorkild I A SørensenSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Tibor V VargaSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Naja Hulvej RodSection of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
University of Copenhagen · DKLundbeck (Denmark) · DK

Funding

Det Frie Forskningsråd (Danish Council for Independent Research) 7025-00005BHelsefonden (Health Foundation) 20-B-0254
6 · The paper itself

Abstract

Nighttime smartphone use is associated with sleep problems, which in turn have a bidirectional association with overweight. We aim to investigate whether nighttime smartphone use and sleep are related to overweight and metabolic dysfunction in adult populations. We used data from three population samples (aged 16-89) from the SmartSleep Study, which included survey data (N = 29,838), high-resolution tracking data (N = 3446), follow-up data (N = 1768), and cardiometabolic risk markers (N = 242). Frequent self-reported nighttime smartphone use was associated with 51% higher odds (95% CI: 1.32; 1.70) of overweight compared with no use. Tracked nighttime smartphone use was also associated with overweight. Similar results were found for obesity as an outcome. No consistent associations were found between nighttime smartphone use and cardiometabolic risk markers in a small subsample of healthy young women. Poor sleep quality (vs. good sleep quality) was associated with overweight (OR = 1.19, 85% CI: 1.10; 1.28). Overall, frequent nighttime smartphone use was consistently associated with overweight and a higher BMI across diverse population samples. The bidirectional interplay between nighttime smartphone use, sleep, and overweight may create a vicious circle of metabolic dysfunction over time. Therefore, nighttime smartphone use may be a potential target point for public health interventions to reduce overweight at the population level.

Indexed as

Cardiovascular DiseasesOverweightAdultFemaleHumansRisk FactorsSelf ReportSleepSmartphone

Identifiers

PMID38418905
PMCPMC10902390
OpenAlexW4392239387

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.