ReviewClocks & sleep2022
Measuring Sleep Health Disparities with Polysomnography: A Systematic Review of Preliminary Findings.
Review in Clocks & sleep, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
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Who cites it
13 citing papers in PubMed.
- Adverse experiences in childhood and adolescence in relation to sleep health in adulthood: An overview of systematic reviews and a global evidence map.Sleep medicine reviews · 2026Review
- Night-to-night variability in respiratory outcomes from home sleep testing in children with suspected sleep-disordered breathing: a retrospective analysis using real-world data.Sleep & breathing = Schlaf & Atmung · 2026Article
- Relational study between sleep quality, daytime sleepiness state, anxiety, stress, depression in possible bruxist and non-bruxist: cross-sectional study.Odontology · 2026Article
- Sleep Health Inequities: Sociodemographic, Psychosocial, and Structural Determinants of Short Sleep in U.S. Adults.Clocks & sleep · 2025Article
- Who Benefits the Most from Sleep Hygiene Education? Findings from the SLeep Education for Everyone Program (SLEEP).Clocks & sleep · 2025Article
- Derivative Method to Detect Sleep and Awake States through Heart Rate Variability Analysis Using Machine Learning Algorithms.Sensors (Basel, Switzerland) · 2024Article
- Ambulatory devices to detect sleep bruxism: a narrative review.Australian dental journal · 2024Review
- Prevalence of Sleep Disturbances in Latin American Populations and Its Association with Their Socioeconomic Status-A Systematic Review and a Meta-Analysis.Journal of clinical medicine · 2023Review
- Sleep as a mediator of the relationship between social class and health in higher education students.British journal of psychology (London, England : 1953) · 2023Article
- Determinants of Health Inequalities in Iran and Saudi Arabia: A Systematic Review of the Sleep Literature.Clocks & sleep · 2023Review
- Recent Progress in Long-Term Sleep Monitoring Technology.Biosensors · 2023Review
- Socioeconomic Position and Excessive Daytime Sleepiness: A Systematic Review of Social Epidemiological Studies.Clocks & sleep · 2022Review
- Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Socioeconomic status (SES) has an unrecognized influence on behavioral risk factors as well as public health strategies related to sleep health disparities. In addition to that, objectively measuring SES' influence on sleep health is challenging. A systematic review of polysomnography (PSG) studies investigating the relation between SES and sleep health disparities is worthy of interest and holds potential for future studies and recommendations. A literature search in databases was conducted following Prisma guidelines. Search strategy identified seven studies fitting within the inclusion criteria. They were all cross-sectional studies with only adults. Except for one study conducted in India, all of these studies took place in western countries. Overall emerging trends are: (1) low SES with its indicators (income, education, occupation and employment) are negatively associated with PSG parameters and (2) environmental factors (outside noise, room temperature and health worries); sex/gender and BMI were the main moderators of the relation between socioeconomic indicators and the variation of sleep recording with PSG. Socioeconomic inequalities in sleep health can be measured objectively. It will be worthy to examine the SES of participants and patients before they undergo PSG investigation. PSG studies should always collect socioeconomic data to discover important connections between SES and PSG. It will be interesting to compare PSG data of people from different SES in longitudinal studies and analyze the intensity of variations through time.
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Registered trials
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