Evidence map›Paper›PMID 41673628›Full record

ArticleBMC public health2026

Decomposition of racial and ethnic disparities in sleep health among US adults, NHANES from 2005-2008 and 2015-2018.

Xiangqi Yuan, Lishan Cai, Huan Huang, Zhaojun Chen, Yang Zhang, Yiqiang Zhan, Tao Zhou

Abstract read
In one paragraph

Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Xiangqi Yuan *Department of Epidemiology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, No.66 Gongchang Road, Guangming District, Shenzhen, 518107, P.R. China.
Lishan Cai *Department of Medical Records, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China.
Huan HuangDepartment of Epidemiology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, No.66 Gongchang Road, Guangming District, Shenzhen, 518107, P.R. China.
Zhaojun ChenDepartment of Epidemiology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, No.66 Gongchang Road, Guangming District, Shenzhen, 518107, P.R. China.
Yang ZhangDepartment of Nutrition, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, No.66 Gongchang Road, Guangming District, Shenzhen, 518107, P.R. China. zhangy2293@mail.sysu.edu.cn.
Yiqiang ZhanDepartment of Epidemiology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, No.66 Gongchang Road, Guangming District, Shenzhen, 518107, P.R. China. Yiqiang.zhan@ki.se.
Tao ZhouDepartment of Epidemiology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, No.66 Gongchang Road, Guangming District, Shenzhen, 518107, P.R. China. zhout93@mail.sysu.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2024A1515012184National Natural Science Foundation of China 82373572
6 · The paper itself

Abstract

backgroundSome studies have shown racial and ethnic disparities in sleep debt, trouble sleeping, and daytime sleepiness, as well as the association between social demographics and sleep behaviors, such as educational level, ethnic origin, and marital status. However, most existing studies do not quantify the extent to which group-level disparities are explained by differences in the distribution of these factors. The present study employs Blinder-Oaxaca decomposition to examine the contributions of individual-level factors to disparities in average healthy sleep scores across diverse race and ethnicity groups, to inform strategies to mitigate healthy sleep pattern inequities.

methodsIn the National Health and Nutrition Examination Surveys (NHANES) from 2005-2008 and 2015-2018, Blinder-Oaxaca decomposition was used to assess the extent to which differences in individual-level factors (age, sex, marital status, education level, smoking status, alcohol intake, physical activity, BMI, place of birth, food security, health insurance, and household income) explain racial and ethnic disparities in average healthy sleep scores among Hispanic, non-Hispanic Black adults, or other races compared with non-Hispanic White adults. The healthy sleep score was constructed based on five components: 7-8 h of sleep per day, no trouble sleeping, no snoring, no excessive daytime sleepiness, and no nocturia. Each component was assigned 1 point for a favorable status.

resultsAmong 17,476 participants (who represent an estimated 109,108,231 non-institutionalized US adults aged ≥ 20 years after applying sample weights), 67.8% were non-Hispanic White adults, 13.7% were Hispanic adults, 10.9% were non-Hispanic Black adults, and 7.6% belonged to other racial/ethnic groups. Among US adults, average (SE) healthy sleep score was 3.12 (0.03) in Hispanic, 2.84 (0.02) in non-Hispanic Black, 3.03 (0.02) in non-Hispanic White, and 3.15 (0.04) in other race/ethnicity adults. Blinder-Oaxaca decomposition analysis showed that education level, age, food security, and BMI were important components in explaining disparities in healthy sleep scores among racial and ethnic groups. Specifically, compared with non-Hispanic White adults, higher educational level and lower prevalence of food insecurity among non-Hispanic Black adults were associated with higher healthy sleep scores (differences attributable to education: +0.03 [SE = 0.01]; to food security: +0.06 [SE = 0.01], both P < 0.001). Similarly, among Hispanic adults, younger average age and lower educational level were associated with higher healthy sleep scores (differences attributable to age: +0.08 [SE = 0.01]; to education: +0.11 [SE = 0.03], both P < 0.001).

conclusionsFactors such as education level, age, food security, and BMI substantially contribute to the racial and ethnic disparities in average healthy sleep scores among US adults.

Indexed as

EthnicityHealth Status DisparitiesRacial GroupsSleepAdultAgedBlack or African AmericanFemaleHispanic or LatinoHumansMaleMiddle AgedNutrition SurveysSocioeconomic Disparities in HealthUnited StatesWhiteBlinder-Oaxaca decompositionEthnicityHealthy sleep patternRace

Identifiers

PMID41673628
PMCPMC12997904

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 OpenQuestion graph.