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Accelerated Biological Aging and a Nonlinear Risk Threshold for Sleep Apnea: Evidence from NHANES and Mediation by Oxidative-Metabolic Dysregulation Cover

Accelerated Biological Aging and a Nonlinear Risk Threshold for Sleep Apnea: Evidence from NHANES and Mediation by Oxidative-Metabolic Dysregulation

By: ,   and    
Open Access
|May 2026

Figures & Tables

Figure 1.

Participant selection flowchart from the NHANES database.

A total of 20,497 initial participants were assessed for eligibility. Participants were excluded sequentially due to: (1) missing sleep apnea data (n=7,882); (2) age under 18 years (n=893); and (3) missing PhenoAge data (n=6,821). The final analytical cohort consisted of 4,901 participants, who were stratified into sleep apnea (n=200) and non-sleep apnea (n=4,701) groups for subsequent analysis.

Abbreviations: NHANES, National Health and Nutrition Examination Survey; PhenoAge, Phenotypic Age

Table 1

Baseline Characteristics of the Study Participants by Sleep Apnea Status.

Overall (n=4901)SA-group (n=200)NSA-group (n=4701)P-value
Demographic characteristics
Age (years)47.0(31.0–64.0)55.0(42.3–66.0)46.0(31.0–63.0)<0.001
Gender, n(%)<0.001
Male2435(49.7)129(64.5)2306(49.1)
Femal2466(50.3)71(35.5)2395(50.9)
Ethnic, n(%)<0.001
Mexican American955(19.5)14(7.0)941(20.0)
Other Hispanic377(7.7)12(6.0)365(7.8)
Non-Hispanic White2340(47.7)123(61.5)2217(47.2)
Non-Hispanic Black1035(21.1)46(23)989(21.0)
Other194(4.0)5(2.5)189(4.0)
PIR, n(%)0.012
Low level1354(29.6)52(27.7)1302(29.7)
Moderate level1808(39.5)60(31.9)1748(39.8)
High level1413(30.9)76(40.4)1337(30.5)
Education, n(%)0.012
Less than high school577(11.8)13(6.5)564(12.0)
High school or equivalent2121(43.3)80(40.0)2041(43.5)
College or above2197(44.9)107(53.5)2090(44.5)
Smoking status, n(%)0.007
Current1015(22.3)45(22.7)970(22.2)
Former1200(26.3)70(35.4)1130(25.9)
Never2344(51.4)83(41.9)2261(51.8)
Drinking status, n(%)0.025
Current2743(64.5)106(57.9)2637(64.8)
Former912(21.5)54(29.5)858(21.1)
Never596(14.0)23(12.6)573(14.1)
Body measurement indicators
Weight (kg)78.6 (66.9–92.3)101.4 (90.0–116.7)77.9 (66.4–91.0)<0.001
BMI (kg/m2)27.8(24.3–32.1)34.6(30.4–39.5)27.6(24.1–31.7)<0.001
BMI group, n(%)<0.001
Underweight/normal1123(23.3)6(3.1)1117(24.1)
Overweight1360(28.2)18(9.4)1342(29)
Obese2335(48.5)167(87.4)2168(46.9)
WC (cm)97.4(87.2–107.8)114.8(106.0–125.6)96.8(86.9–107.0)<0.001
Dietary and exercise indicators
Energy (kcal/d)1918(1458–2478)2078(1506–2808)1914(1456–2472)0.027
Protein (gm/d)74.3(55.1–97.8)78.0(58.2–111.1)74.2(54.9–97.2)0.008
Carbohydrate (gm/d)233.6(175.3–307.5)240.7(175.0–310.1)233.2(175.3–307.4)0.424
Fat (gm/d)70.2(50.1–96.8)82.1(57.8–115.5)69.8(49.8–95.9)<0.001
PA, n(%)0.385
High-intensive1108(22.9)42(21.2)1066(22.9)
Moderate-intensive1423(29.4)52(26.3)1371(29.5)
Low-intensive2314(47.8)104(52.5)2210(47.6)
Metabolic indicators
SBP (mmHg)120.0(110.7–132.0)124.0(113.5–136)120.0(110.7–132.0)0.006
DBP (mmHg)68.7(60.7–76.0)72.0(63.5–78.7)68.7(60.7–76.0)0.002
MAP (mmHg)85.8(78.9–93.6)88.8(82.3–96.0)85.6(78.7–93.3)<0.001
UA (umol/L)321.2(261.7–380.7)356.9(315.2–416.4)321.2(261.7–374.7)<0.001
TG (mmol/L)1.28(0.88–1.90)1.47(1.01–2.09)1.26(0.87–1.89)<0.001
TC (mmol/L)4.97(4.27–5.72)4.76(4.19–5.40)4.97(4.28–5.74)0.005
HDL-C (mmol/L)1.34(1.11–1.63)1.19(1.03–1.45)1.34(1.11–1.63)<0.001
LDL-C (mmol/L)2.87(2.30–3.52)2.81(2.22–3.37)2.87(2.30–3.52)0.086
FPG (mmol/L)5.55(5.11–6.11)5.80(5.33–6.76)5.50(5.11–6.05)<0.001
HbA1C (%)5.4(5.1–5.8)5.8(5.3–6.4)5.4(5.1–5.8)<0.001
HOME-IR2.06(1.22–3.63)3.44(1.95–7.00)2.01(1.21–3.54)<0.001
TyG index7.29(6.87–7.73)7.49(7.05–8.00)7.28(6.86–7.72)<0.001
UHR0.103(0.076–0.139)0.128(0.100–0.166)0.102(0.075–0.137)<0.001
Inflammatory indicators
CRP (mg/L)2.1(0.9–5.1)3.3(1.4–7.8)2.0(0.9–5.0)<0.001
NLR1.95(1.44–2.64)2.17(1.58–2.73)1.95(1.44–2.63)0.021
MLR0.26(0.21–0.33)0.28(0.21–0.37)0.26(0.21–0.33)0.095
SII509.8(361.6–730.2)533.1(379.8–716.1)508.4(360.0–731.7)0.450
SIRI1.01(0.68–1.49)1.15(0.79–1.55)1.00(0.68–1.49)0.008
Biological age
PhenoAge (years)43.9(27.8–61.7)54.5(42.8–68.9)43.2(27.4–61.2)<0.001
PhenoAgeAccel (years)−1.28(−4.77–2.97)1.54(−2.90–6.43)−1.37(−4.82–2.82)<0.001

[i] Data are presented as median (interquartile range) for continuous variables and number (%) for categorical variables. Group comparisons were made using the Mann-Whitney U test (continuous variables) or the chi-square test (categorical variables).

[ii] Abbreviations: SA, sleep apnea; NSA, non-sleep apnea; WC, waist circumference; PA, physical activity; MAP, mean arterial pressure; UA, uric acid; TG, triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; FPG, fasting plasma glucose; FINS, fasting insulin; HbA1c, glycated hemoglobin; HOMA-IR, homeostasis model assessment of insulin resistance; TyG index, triglyceride-glucose index; CRP, C-reactive protein; NLR, neutrophil-to-lymphocyte ratio; MLR, monocyte-to-lymphocyte ratio; SII, systemic immune-inflammation index; SIRI, systemic inflammation response index; UHR, uric acid to HDL-C ratio; γ-GGT, gamma-glutamyl transferase.

[iii] Measurement and calculation notes: Blood pressure values (SBP and DBP) represent the average of at least three measurements. The following indices were calculated as shown: MAP=DBP + 1/3(SBP - DBP); NLR = neutrophil count / lymphocyte count; MLR = monocyte count / lymphocyte count; SII = (neutrophil count × platelet count) / lymphocyte count; SIRI = (neutrophil count × monocyte count) / lymphocyte count; HOMA-IR = [FPG (mmol/L) × FINS (μU/mL)] / 22.5; TyG = Ln[TG (mg/dL) × FPG (mg/dL) / 2.

Table 2

Associations of PhenoAge with Sleep Apnea.

Variable / AnalysisCrude ModelModel 1Model 2
PhenoAge, year
OR (95% CI)1.00(1.00–1.00)1.04(1.02–1.06)1.03(1.01–1.04)
P-value<0.001<0.0010.002
PhenoAge,by quartiles
Q1 (Lowest) (n=1226)1.00 (Ref.)1.00 (Ref.)1.00 (Ref.)
Q2(n=1225)
OR (95% CI)1.02(1.01–1.04)4.02(2.11–7.67)2.30(1.19–4.47)
P-value0.016<0.0010.004
Q3(n=1225)
OR (95% CI)1.04(1.03–1.06)9.52(4.44–20.47)4.00(1.79–8.93)
P-value<0.001<0.001<0.001
Q4 (Highest) (n=1225)
OR (95% CI)1.05(1.04–1.07)17.15(6.53–45.06)5.84(2.10–16.22)
P-value<0.001<0.001<0.001

[i] Model adjustments: Crude Model: Unadjusted; Model 1: Age, sex, race/ethnicity, educational attainment, poverty-to-income ratio; Model 2: Model 1 + physical activity, drinking status, smoking status, body mass index, total energy intake.

[ii] Abbreviations: CI, confidence interval; OR, odds ratio; Ref, reference.

[iii] Note: Phenotypic Age (PhenoAge) was analyzed both as a continuous variable (per 1-year increase) and by quartiles (Q1-Q4), with the lowest quartile (Q1) as reference. Data are presented as regression coefficient (β), odds ratio (OR) with 95% confidence interval (CI), and P value. All estimates were obtained from logistic regression analyses.

Table 3

Association Between PhenoAgeAccel and Sleep Apnea

Variable / AnalysisCrude ModelModel 1Model 2
PhenoAgeAccel, year
OR (95% CI)1.00(1.00–1.00)1.04(1.02–1.06)1.03(1.01–1.05)
P-value <0.001<0.001<0.0010.004
PhenoAgeAccel, by category
EQ (n=1249)1.00 (Ref.)1.00 (Ref.)1.00 (Ref.)
AC-1 (n=554)
OR (95% CI)1.01(0.99–1.03)1.38(0.84–2.27)1.39(0.84–2.31)
P-value0.3160.2060.202
AC-2 (n=884)
OR (95% CI)1.04(1.02–1.06)2.19(1.47–3.26)1.98(1.31–3.00)
P-value<0.001<0.0010.001
DC-1(n=1075)
OR (95% CI)1.00(0.98–1.02)0.94(0.61–1.46)1.77(0.71–1.74)
P-value0.9470.7830.658
DC-2 (n=1139)
OR (95% CI)0.98(0.97–1.00)0.52(0.31–0.86)0.80(0.47–1.36)
P-value0.0510.0110.459

[i] Model adjustments: Crude Model: Unadjusted; Model 1: Age, sex, race/ethnicity, educational attainment, poverty-to-income ratio; Model 2: Model 1 + physical activity, drinking status, smoking status, body mass index, total energy intake.

[ii] Abbreviations: AC-1 & 2, acceleration group 1 & 2; CI, confidence interval; DC-1 & 2, deceleration group 1 & 2; EQ, equality group; OR, odds ratio; Ref, reference.

[iii] Note: Phenotypic age acceleration (PhenoAgeAccel) was analyzed as both a continuous variable (per 1-year increase) and a categorical variable with five groups (see Methods for definitions). Data are presented as regression coefficient (β), odds ratio (OR) with 95% CI, and P value. All estimates were derived from logistic regression analyses.

Table 4

Subgroup Analysis of the Associations Between PhenoAge and Sleep Apnea.

SA Cases / Total NOR [95%CI]P-ValueP-Interaction
Overall200/49011.03(1.01–1.04)0.002-
Gender0.433
Male129/24351.03(1.01–1.06)0.006
Female71/24661.01(0.99–1.04)0.307
Age0.001
<40 years36/18870.99(0.93–1.05)0.705
≥40 years164/30141.03(1.01–1.05)0.003
Obesity status0.144
Non-obese26/25180.99(0.90–1.09)0.822
Obese174/23831.03(1.01–1.05)0.003

[i] Abbreviations: CI, confidence interval; OR, odds ratio.

[ii] Note: Obesity status was defined as BMI ≥ 30 kg/m2 (obese) and BMI < 30 kg/m2 (non-obese). ORs and 95% CIs are from Model 2, adjusted for age, gender, race, education, poverty-income ratio, physical activity, drinking, smoking, BMI, and total energy intake. The P for interaction was obtained by adding an interaction term (PhenoAge × subgroup variable) to Model 2.

Figure 2.

Nonlinear Dose-Response Associations of Phenotypic Age with Sleep Apnea Risk: Overall and Subgroup Analyses.

The restricted cubic spline analysis revealed a significant nonlinear association between PhenoAge and sleep apnea risk in the overall population in model 2 (P for nonlinearity < 0.001). A consistent inflection point was observed at a PhenoAge of 44.09 years (vertical dashed line) in the overall population, male, female, and obese subgroups (all P for nonlinearity < 0.05). In the non-obese subgroup, the association did not reach statistical significance for nonlinearity (P = 0.074), although a similar inflection pattern was visually apparent. Solid lines represent odds ratios, and shaded areas represent 95% confidence intervals. Black represents the overall population, blue represents males, red represents females, yellow represents the obese group, and green represents the non-obese group.

Table 5.

Segmented Logistic Regression Analysis of the Association Between PhenoAge and Sleep Apnea (SA) Risk.

GroupSA Cases / Total NOR (95% CI)P-value
Overall population
Low PhenoAge57/24590.99(0.93–1.05)0.705
High PhenoAge143/24421.03(1.01–1.05)0.003
Male
Low PhenoAge37/11930.99(0.90–1.09)0.816
High PhenoAge92/12421.03(1.01–1.06)0.009
Female
Low PhenoAge20/12661.09(0.99–1.21)0.079
High PhenoAge51/12001.00(0.97–1.03)0.944
Obese
Low PhenoAge47/10481.06(0.98–1.14)0.171
High PhenoAge127/13351.02(1.00–1.04)0.025
Non-obese
Low PhenoAge10/14110.97(0.81–1.15)0.700
High PhenoAge16/11071.01(0.93–1.09)0.824

[i] This table summarizes logistic regression results (Model 2) assessing the association between PhenoAge (low: <44.09 years vs. high: ≥44.09 years, based on the inflection point) and sleep apnea (SA). Values represent SA case counts/total participants, odds ratios (ORs) with 95% confidence intervals (CIs), and P values for the overall population and for strata defined by sex and obesity status.

Figure 3.

Mediation analysis of the effect of PhenoAge on sleep apnea risk through UHR (Model 2).

This analysis used Model 2, with PhenoAge as the predictor (X), the uric acid-to-high-density lipoprotein cholesterol ratio (UHR) as the mediator (M), and sleep apnea risk as the outcome (Y). Based on bootstrap analysis, the figure presents point estimates and 95% confidence intervals for the average causal mediation effect (ACME, or indirect effect) and the average direct effect (ADE). The proportion mediated is reported where both ACME and ADE were statistically significant. Results are displayed for the overall population and stratified by sex (male, female), age (<40 / ≥40 years), and obesity status (obese, non-obese). A plus sign (+) denotes a positive path coefficient.

AbbreviationFull Term
AC-1 & 2Acceleration Group-1 & 2
ACMEAverage Causal Mediation Effect
ADEAverage Direct Effect
BMIBody Mass Index
CAPIComputer-Assisted Personal Interview
CIConfidence Interval
CIHChronic Intermittent Hypoxia
CRPC-Reactive Protein
DBPDiastolic Blood Pressure
DC-1 & 2Deceleration Group-1 & 2
EQ GroupEquality Group
FPGFasting Plasma Glucose
HbA1cGlycated Hemoglobin
HDL-CHigh-Density Lipoprotein Cholesterol
HOMA-IRHomeostatic Model Assessment of Insulin Resistance
IQRInterquartile Range
IRInsulin Resistance
LDL-CLow-Density Lipoprotein Cholesterol
MAPMean Arterial Pressure
METMetabolic Equivalent Task
MICEMultiple Imputation by Chained Equations
MLRMonocyte-to-Lymphocyte Ratio
NHANESNational Health and Nutrition Examination Survey
NLRNeutrophil-to-Lymphocyte Ratio
NSANon-Sleep Apnea
OROdds Ratio
OSAObstructive Sleep Apnea
PAPhysical Activity
PhenoAgePhenotypic Age
PhenoAgeAccelPhenotypic Age Acceleration
PIRPoverty-to-Income Ratio
Q1-Q4First, Second, Third, Fourth Quartile
RCSRestricted Cubic Spline
SASleep Apnea
SBPSystolic Blood Pressure
SIISystemic Immune-Inflammation Index
SIRISystemic Inflammation Response Index
TCTotal Cholesterol
TGTriglycerides
TyG indexTriglyceride-Glucose index
UAUric Acid
UHRUric Acid to High-Density Lipoprotein Cholesterol Ratio
DOI: https://doi.org/10.2478/rjim-2026-0010 | Journal eISSN: 2501-062X (formerly 1220-4749) | Journal ISSN: 1220-4749
Language: English, Romanian
Submitted on: Mar 7, 2026
Published on: May 18, 2026
Published by: N.G. Lupu Internal Medicine Foundation
In partnership with: Paradigm Publishing Services

© 2026 Jia Guo, Xiaona Wang, Ranran Zhao, published by N.G. Lupu Internal Medicine Foundation
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.