Back

Association between remnant cholesterol-to-HDL-C ratio and obstructive sleep apnea risk in U.S. adults: a cross-sectional analysis of NHANES 2015-2018

Zhu, Z.; Shan, S.

2026-05-13 epidemiology
10.64898/2026.05.09.26352793 medRxiv
Show abstract

BackgroundSeveral lipid ratios have been linked to obstructive sleep apnea (OSA) risk in NHANES, yet two questions central to clinical translation remain unanswered: how much of the association is carried by central adiposity, and whether the dose-response curve contains an actionable threshold. We addressed both for the remnant cholesterol-to-HDL-C ratio (RC/HDL-C). MethodsWe analysed 3,635 adults aged [&ge;]20 years from NHANES 2015-2018. OSA risk was ascertained from the Sleep Disorders Questionnaire. Multivariable logistic regression estimated odds ratios across three nested models. Restricted cubic splines and segmented regression characterised the dose-response and located the inflection point. Mediation by body roundness index (BRI) was quantified by nonparametric percentile bootstrap (1,000 resamples). Discrimination was compared by ROC analysis, with stratified and trimmed-sample sensitivity analyses. ResultsOSA risk was identified in 1,361 participants (37.4%). Each one-unit rise in RC/HDL-C carried 23% higher adjusted odds of OSA (OR 1.23, 95% CI 1.03-1.47); the highest quartile carried 49% higher odds than the lowest (P-trend < 0.001). The dose-response was nonlinear, with an inflection at RC/HDL-C = 0.232: below this point each 0.1-unit increase raised odds by 54% (OR 1.54, 95% CI 1.16-2.05); above it the curve plateaued. BRI mediated 82.7% of the total effect (ACME 0.039, P < 0.001), with the indirect pathway 2.8 times stronger in women. AUCs were 0.599 (BRI) and 0.564 (RC/HDL-C). ConclusionsRC/HDL-C showed a modest, threshold-shaped association with OSA risk in U.S. adults, with central adiposity (BRI) as the predominant mediating factor. These exploratory findings, based on questionnaire-defined OSA, warrant prospective validation in cohorts with polysomnography.

Matching journals

The top 16 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 22%
5.0%
2
PLOS ONE
4510 papers in training set
Top 33%
4.4%
3
eBioMedicine
130 papers in training set
Top 0.2%
4.4%
4
BMC Medicine
163 papers in training set
Top 1%
4.1%
5
International Journal of Obesity
25 papers in training set
Top 0.2%
4.1%
6
International Journal of Epidemiology
74 papers in training set
Top 0.6%
3.7%
7
Genetic Epidemiology
46 papers in training set
Top 0.2%
3.7%
8
eLife
5422 papers in training set
Top 24%
3.7%
9
Clinical Infectious Diseases
231 papers in training set
Top 2%
3.1%
10
Sleep
26 papers in training set
Top 0.3%
3.1%
11
Translational Psychiatry
219 papers in training set
Top 2%
2.4%
12
Nature Communications
4913 papers in training set
Top 47%
2.1%
13
BMJ Open
554 papers in training set
Top 8%
1.9%
14
Journal of Sleep Research
31 papers in training set
Top 0.3%
1.7%
15
Obesity
19 papers in training set
Top 0.2%
1.7%
16
EBioMedicine
39 papers in training set
Top 0.3%
1.7%
50% of probability mass above
17
Communications Biology
886 papers in training set
Top 8%
1.7%
18
BMJ Open Respiratory Research
32 papers in training set
Top 0.4%
1.5%
19
Annals of Neurology
57 papers in training set
Top 1%
1.5%
20
SLEEP
28 papers in training set
Top 0.3%
1.5%
21
PLOS Biology
408 papers in training set
Top 12%
1.4%
22
American Journal of Epidemiology
57 papers in training set
Top 1.0%
1.3%
23
Journal of Clinical Medicine
91 papers in training set
Top 5%
1.1%
24
Clinical Epigenetics
53 papers in training set
Top 0.8%
1.0%
25
PLOS Medicine
98 papers in training set
Top 4%
1.0%
26
PLOS Genetics
756 papers in training set
Top 12%
1.0%
27
Frontiers in Neurology
91 papers in training set
Top 4%
0.9%
28
Circulation: Genomic and Precision Medicine
42 papers in training set
Top 1%
0.9%
29
Journal of Proteome Research
215 papers in training set
Top 2%
0.8%
30
Neurology
44 papers in training set
Top 1%
0.8%