1082 Sleep Duration and Psychological Distress: Mental Health Disparities Among Asian American Adults, National Health Interview Survey 2006–2018

Abstract Introduction Short (< 7h) and long sleep (>8h) have been linked to poor mental health. Short sleep disrupts brain regions regulating emotion, while long sleep may reflect underlying chronic illness. Asian Americans (AAs) report higher prevalence of insufficient sleep than non-Hispanic Whites (NHWs), yet differences among subgroups remain understudied. We examined the relationship between sleep duration and moderate to severe psychological distress across disaggregated AA subgroups. Methods We analyzed 2006–2018 National Health Interview Survey data (N=880,210; 523,148 NHWs; 58,283 AAs: 12,056 Chinese, 13,211 Filipino, 11,249 Asian Indian, 21,767 Other Asian). Sleep was categorized as short (< 7h), ideal (7–8h), or long (>8h). Psychological distress was measured using the validated Kessler Psychological Distress Scale (K6), dichotomized as moderate/severe distress (K6 ≥5) versus no distress (< 5). Weighted multivariate logistic regressions estimated odds ratios, adjusting for sociodemographic, socioeconomic, behavioral, and health covariates. Analyses were stratified by race/ethnicity. Results Short sleep was associated with higher odds of psychological distress (OR=1.87, 95% CI: 1.82–1.92), as was long sleep (OR=1.54, 95% CI: 1.48–1.61). Aggregating all AAs, the short sleep–distress association did not differ significantly from NHWs (OR=0.98, 95% CI: 0.89–1.08), while the long sleep–distress association was weaker (OR=0.81, 95% CI: 0.66–0.98). Subgroup analyses revealed heterogeneity. Chinese adults showed weaker associations for short sleep (p=0.038), and Other Asian adults for long sleep (p=0.046). No significant differences were found for Filipino or Indian adults. Covariates strongly linked to distress included poor self-rated health (OR=3.27, 95% CI: 3.11–3.44), low income (<$35,000 vs >$75,000; OR=2.05, 95% CI: 1.95–2.16), female sex (OR=1.42, 95% CI: 1.36–1.48), and chronic condition (OR=1.63, 95% CI: 1.56–1.71). Conclusion Sleep duration is strongly associated with psychological distress among U.S. adults, but magnitudes vary across AA subgroups. Aggregating AAs obscures important heterogeneity in sleep and mental health associations. Findings underscore the importance of disaggregated data and culturally competent interventions addressing sleep health and mental well-being within AA communities. Support (if any)

Authors

Institutions

Publication Details

Journal
SLEEP
Published
2026-05-01
DOI
https://doi.org/10.1093/sleep/zsag091.1081
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

1082 Sleep Duration and Psychological Distress: Mental Health Disparities Among Asian American Adults, National Health Interview Survey 2006–2018

Armaan Jamal, George Hung, Sukhman Parhar, Shreya Gunda et al.
SLEEP
Sleep and related disorders
article

1082 Sleep Duration and Psychological Distress: Mental Health Disparities Among Asian American Adults, National Health Interview Survey 2006–2018

Armaan Jamal, George Hung, Sukhman Parhar, Shreya Gunda, Gloria Kim, Latha Palaniappan, Robert Huang, Nitya Rajeshuni, Nick Kikuta, Lauren Eggart, Wendy Yangyiran Xie, Malathi Srinivasan, Miguel E V Rodriguez
article en

Abstract

Abstract Introduction Short (< 7h) and long sleep (>8h) have been linked to poor mental health. Short sleep disrupts brain regions regulating emotion, while long sleep may reflect underlying chronic illness. Asian Americans (AAs) report higher prevalence of insufficient sleep than non-Hispanic Whites (NHWs), yet differences among subgroups remain understudied. We examined the relationship between sleep duration and moderate to severe psychological distress across disaggregated AA subgroups. Methods We analyzed 2006–2018 National Health Interview Survey data (N=880,210; 523,148 NHWs; 58,283 AAs: 12,056 Chinese, 13,211 Filipino, 11,249 Asian Indian, 21,767 Other Asian). Sleep was categorized as short (< 7h), ideal (7–8h), or long (>8h). Psychological distress was measured using the validated Kessler Psychological Distress Scale (K6), dichotomized as moderate/severe distress (K6 ≥5) versus no distress (< 5). Weighted multivariate logistic regressions estimated odds ratios, adjusting for sociodemographic, socioeconomic, behavioral, and health covariates. Analyses were stratified by race/ethnicity. Results Short sleep was associated with higher odds of psychological distress (OR=1.87, 95% CI: 1.82–1.92), as was long sleep (OR=1.54, 95% CI: 1.48–1.61). Aggregating all AAs, the short sleep–distress association did not differ significantly from NHWs (OR=0.98, 95% CI: 0.89–1.08), while the long sleep–distress association was weaker (OR=0.81, 95% CI: 0.66–0.98). Subgroup analyses revealed heterogeneity. Chinese adults showed weaker associations for short sleep (p=0.038), and Other Asian adults for long sleep (p=0.046). No significant differences were found for Filipino or Indian adults. Covariates strongly linked to distress included poor self-rated health (OR=3.27, 95% CI: 3.11–3.44), low income (<$35,000 vs >$75,000; OR=2.05, 95% CI: 1.95–2.16), female sex (OR=1.42, 95% CI: 1.36–1.48), and chronic condition (OR=1.63, 95% CI: 1.56–1.71). Conclusion Sleep duration is strongly associated with psychological distress among U.S. adults, but magnitudes vary across AA subgroups. Aggregating AAs obscures important heterogeneity in sleep and mental health associations. Findings underscore the importance of disaggregated data and culturally competent interventions addressing sleep health and mental well-being within AA communities. Support (if any)

SLEEPVol. 49(Supplement_1)
Stanford Health Care (US)
No poverty
Openalex Percentile: Top 4%
Sleep and related disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.