Evidence map›Paper›PMID 39952070›Full record

ArticleSleep medicine2025

Perspectives regarding consumer sleep technology and barriers to its use or adoption among adults in the United States.

Mary Kress, Nicholas R Lenze, Ruby J Kazemi, Allison K Ikeda, Punithavathy Vijayakumar, Cathy A Goldstein, Jeffrey J Stanley, Michael J Brenner, Paul T Hoff

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sleep medicine, 2025. 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
–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

1 citing paper in PubMed.

  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.

Mary KressDepartment of Otolaryngology - Head and Neck Surgery, University of Michigan Medical School, Ann Arbor, MI, USA.
Nicholas R LenzeDepartment of Otolaryngology - Head and Neck Surgery, University of Michigan Medical School, Ann Arbor, MI, USA. Electronic address: nlenzemed@gmail.com.
Ruby J KazemiDepartment of Otolaryngology - Head and Neck Surgery, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Otolaryngology - Head and Neck Surgery, University of California Davis Health, Sacramento, CA, USA.
Allison K IkedaDepartment of Otolaryngology - Head and Neck Surgery, University of Washington, Seattle, WA, USA.
Punithavathy VijayakumarSleep Disorders Center, Department of Neurology, University of Michigan Medical School, Ann Arbor, MI, USA.
Cathy A GoldsteinSleep Disorders Center, Department of Neurology, University of Michigan Medical School, Ann Arbor, MI, USA.
Jeffrey J StanleyDepartment of Otolaryngology - Head and Neck Surgery, University of Michigan Medical School, Ann Arbor, MI, USA.
Michael J BrennerDepartment of Otolaryngology - Head and Neck Surgery, University of Michigan Medical School, Ann Arbor, MI, USA.
Paul T HoffDepartment of Otolaryngology - Head and Neck Surgery, University of Michigan Medical School, Ann Arbor, MI, USA.

Funding

Michigan Otolaryngology Research Education (MORE)R25DC020262 · NIDCD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Gabriel Corfas · 2023 to 2026
$1.1M
NIDCD NIH HHS R25 DC020262
6 · The paper itself

Abstract

objectiveTo explore perspectives about consumer sleep technology (CST) and barriers to its regular use and whether these vary by sociodemographic characteristics.

methodsA multidisciplinary team developed a survey instrument which was disseminated to a national sample via an online platform. A mixed methods analysis using descriptive statistics, logistic regression, and thematic content analysis was employed.

resultsAmong 897 survey respondents, mean age was 47.5 ± 16.9 years; 73.1 % identified as female, and 81.8 % as White. A total of 505 respondents (56.3 %) reported having tracked their sleep using CST. Concerns or barriers reported by respondents included cost (57.2 %), too many different types of CST (56.5 %), and data privacy/security concerns (38.7 %). Younger individuals (p < 0.001) and those with annual household income $30,000 to $57,999 per year (p = 0.006) or <$30,000 per year (p = 0.021) were more likely to report cost as a barrier in the adjusted analysis. Individuals with household income <$30,000 (p = 0.004) or identifying as Asian (p = 0.002) or Black (p = 0.004) race were more likely to report data privacy/security concerns. Among those who already owned CST, 12.3 % reported sleep-related worry/orthosomnia and 17 % reported not trusting the data. Qualitative analyses corroborated these findings, emphasizing concerns with data privacy/security, sleep-related worry, lack of trust in data accuracy, and physical discomfort.

conclusionsDespite the growing popularity of CST, there exist several concerns and barriers to its regular use that may have health equity implications. Further research incorporating diverse stakeholders is necessary to address these barriers and promote optimal use of technology.

Indexed as

SleepAdultAgedFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited StatesBarriersConsumer sleep technologyHealth equitySleep disordersSocioeconomic factorsWearable electronic devices

Identifiers

PMID39952070
PMCPMC11879103

What Socratic holds

Textmetadata
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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 Socratic graph.