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Record W4394977448 · doi:10.1093/sleep/zsae067.0404

0404 Americas Prevalence of Insomnia Disorder in Adults: Estimation Using Currently Available Data

2024· article· en· W4394977448 on OpenAlexaboutno aff
Adam Benjafield, Fatima H. Sert Kuniyoshi, Atul Malhotra, Leonie Maurer, Charles M. Morin, Jennifer L. Martin, Emerson M. Wickwire

Bibliographic record

VenueSLEEP · 2024
Typearticle
Languageen
FieldPsychology
TopicSleep and related disorders
Canadian institutionsnot available
Fundersnot available
KeywordsInsomniaPsychiatryEstimationMedicineClinical psychology

Abstract

fetched live from OpenAlex

Abstract Introduction Insomnia disorder is a major clinical issue due to its high prevalence and negative health outcomes. While the prevalence of insomnia in developed countries like the United States and Canada is known, its prevalence across the broader Americas region (Northern America, Latin America and the Caribbean) remains unclear. Limited epidemiological studies have been conducted and the majority of the Americas’ population does not have a reliable estimate for insomnia disorder. The purpose of this analysis was to estimate the Americas’ prevalence of adult insomnia disorder using published data. Methods Published nation-specific estimates of the general population prevalence of insomnia disorder were applied to current population estimates for all countries in the Americas. We utilized the following criteria to determine which insomnia prevalence estimates to use: 1) studies that reported prevalence stratified by both age and sex together; 2) studies that reported prevalence by age and sex separately, we used the age-based results; 3) studies that reported prevalence by sex but not age; 4) studies that reported only a single prevalence estimate. Expert opinion was used to select the most methodologically rigorous study when >1 potential reference study existed for a nation. For countries lacking a reference study, we applied the estimates from a large, well-conducted study. Population estimates by sex and age (20yrs+) were sourced from the United Nations World Population Prospects 2022. Results There were 55 countries defined by the United Nations comprising the Americas of which 3 (5.5%) had a suitable prevalence estimate of insomnia. We estimated an Americas’ adult insomnia disorder prevalence of approximately 123 million adults (16.8%), comprised of 73 million females (19.5%) and 50 million males (14.0%). The nations with the greatest burden of insomnia disorder are the United States (37 million), Brazil (29 million), and Mexico (16 million). Conclusion This large burden of disease, ~17% of adults, highlights the importance of comprehensive sleep health initiatives and the need for promotion of sleep health in public health policy. There is a lack of appropriate prevalence studies especially in low- and middle-income countries within the Americas. Support (if any) Study funded by ResMed

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.953
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.347
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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