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Sleep disturbances across 2 weeks predict future mental healthcare utilization
by
Luft, Benjamin
, Ruggero, Camilo J
, Kotov, Roman
, Slavish, Danica C
in
Adult
/ Costs
/ Efficiency
/ Female
/ Forecasts and trends
/ Health aspects
/ Health care expenditures
/ Health care reform
/ Health Expenditures - statistics & numerical data
/ Health services utilization
/ Humans
/ International trade
/ Male
/ Medical care
/ Medical care, Cost of
/ Mental Health Services - economics
/ Mental Health Services - statistics & numerical data
/ Middle Aged
/ Patient Acceptance of Health Care - statistics & numerical data
/ Psychiatric services
/ Psychological aspects
/ September 11 Terrorist Attacks - psychology
/ Sleep
/ Sleep disorders
/ Sleep Wake Disorders - economics
/ Sleep Wake Disorders - epidemiology
/ Sleep Wake Disorders - psychology
/ Utilization
2025
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Sleep disturbances across 2 weeks predict future mental healthcare utilization
by
Luft, Benjamin
, Ruggero, Camilo J
, Kotov, Roman
, Slavish, Danica C
in
Adult
/ Costs
/ Efficiency
/ Female
/ Forecasts and trends
/ Health aspects
/ Health care expenditures
/ Health care reform
/ Health Expenditures - statistics & numerical data
/ Health services utilization
/ Humans
/ International trade
/ Male
/ Medical care
/ Medical care, Cost of
/ Mental Health Services - economics
/ Mental Health Services - statistics & numerical data
/ Middle Aged
/ Patient Acceptance of Health Care - statistics & numerical data
/ Psychiatric services
/ Psychological aspects
/ September 11 Terrorist Attacks - psychology
/ Sleep
/ Sleep disorders
/ Sleep Wake Disorders - economics
/ Sleep Wake Disorders - epidemiology
/ Sleep Wake Disorders - psychology
/ Utilization
2025
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Sleep disturbances across 2 weeks predict future mental healthcare utilization
by
Luft, Benjamin
, Ruggero, Camilo J
, Kotov, Roman
, Slavish, Danica C
in
Adult
/ Costs
/ Efficiency
/ Female
/ Forecasts and trends
/ Health aspects
/ Health care expenditures
/ Health care reform
/ Health Expenditures - statistics & numerical data
/ Health services utilization
/ Humans
/ International trade
/ Male
/ Medical care
/ Medical care, Cost of
/ Mental Health Services - economics
/ Mental Health Services - statistics & numerical data
/ Middle Aged
/ Patient Acceptance of Health Care - statistics & numerical data
/ Psychiatric services
/ Psychological aspects
/ September 11 Terrorist Attacks - psychology
/ Sleep
/ Sleep disorders
/ Sleep Wake Disorders - economics
/ Sleep Wake Disorders - epidemiology
/ Sleep Wake Disorders - psychology
/ Utilization
2025
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Sleep disturbances across 2 weeks predict future mental healthcare utilization
Journal Article
Sleep disturbances across 2 weeks predict future mental healthcare utilization
2025
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Overview
Abstract
Study Objectives
Insufficient sleep costs the US economy over $411 billion per year. However, most studies investigating the economic costs of sleep rely on one-time measures of sleep, which may be prone to recall bias and cannot capture variability in sleep. To address these gaps, we examined how sleep metrics captured from daily sleep diaries predicted medical expenditures.
Methods
Participants were 391 World Trade Center (WTC) responders enrolled in the WTC Health Program (mean age = 54.97 years, 89% men). At baseline, participants completed 14 days of self-reported sleep and stress measures. Mean sleep, variability in sleep, and a novel measure of sleep reactivity (i.e. how much people’s sleep changes in response to daily stress) were used to predict the subsequent year’s medical expenditures, covarying for age, race/ethnicity, sex, medical diagnoses, and body mass index.
Results
Mean sleep efficiency did not predict mental healthcare utilization. However, greater sleep efficiency reactivity to stress (b = $191.75, p = .027), sleep duration reactivity to stress (b = $206.33, p = .040), variability in sleep efficiency (b = $339.33, p = .002), variability in sleep duration (b = $260.87, p = .004), and quadratic mean sleep duration (b = $182.37, p = .001) all predicted greater mental healthcare expenditures. Together, these sleep variables explained 12% of the unique variance in mental healthcare expenditures. No sleep variables were significantly associated with physical healthcare expenditures.
Conclusions
People with more irregular sleep, more sleep reactivity, and either short or long sleep engage in more mental healthcare utilization. It may be important to address these individuals’ sleep problems to improve mental health and reduce healthcare costs.
Graphical Abstract
Graphical Abstract
Publisher
Oxford University Press
Subject
/ Costs
/ Female
/ Health Expenditures - statistics & numerical data
/ Humans
/ Male
/ Mental Health Services - economics
/ Mental Health Services - statistics & numerical data
/ Patient Acceptance of Health Care - statistics & numerical data
/ September 11 Terrorist Attacks - psychology
/ Sleep
/ Sleep Wake Disorders - economics
/ Sleep Wake Disorders - epidemiology
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