Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Aug 27:17:1985-1995.
doi: 10.2147/NSS.S540364. eCollection 2025.

Association of Chronotype with Hypertension and Metabolic Parameters in Middle-Aged and Older Adults: A Cross-Sectional Study

Affiliations

Association of Chronotype with Hypertension and Metabolic Parameters in Middle-Aged and Older Adults: A Cross-Sectional Study

Ming-Jun Hu et al. Nat Sci Sleep. .

Abstract

Purpose: Chronotype can be used to describe individual's circadian preference in behavioral and circadian rhythm, representing the preferences for earlier or later sleep times. This study aimed to investigate the association of chronotype with hypertension and metabolic parameters in middle-aged and older adults.

Patients and methods: A total of 945 participants were recruited from December 2023 to December 2024 at First Affiliated Hospital of University of Science and Technology of China. Chronotype was determined using the full Morningness-Eveningness Questionnaire, with higher scores indicating preference for morning chronotype. Chronotype was dichotomized at the median score in current cohort, classifying 447 participants as morning chronotypes and 498 as evening chronotypes. Anthropometric measurements and biochemical analyses were also conducted. Multivariable logistic, linear regression, and restricted cubic spline (RCS) analyses were employed to evaluate association between chronotype, metabolic parameters, and hypertension.

Results: After adjustment for covariates, evening chronotype was significantly associated with hypertension risk (OR = 1.60, 95% CI: 1.17-2.17), compared with morning chronotype. The RCS analysis suggested a significant nonlinearity association between chronotype score and hypertension (P for nonlinear = 0.047). Furthermore, higher chronotype score was significantly associated with decreased levels of total cholesterol [TC, β (95% CI): -0.12 (-0.19, -0.04)], low-density lipoprotein-cholesterol [LDL-C, β (95% CI): -0.21 (-0.33, -0.08)] and serum uric acid [SUA, β (95% CI): -0.09 (-0.18, -0.01)], but with increased levels of aspartate aminotransferase [AST, β (95% CI): 0.16 (0.05, 0.27)]. In discrimination model, chronotype was associated with hypertension independently of TC, SUA, alanine transaminase, and alkaline phosphatase, with model's AUC of 0.779 (95% CI: 0.749-0.808).

Conclusion: In middle-aged and older adults, preference for morning chronotype was associated with decreased levels of TC, LDL-C, and SUA, but with increased levels of AST. Moreover, evening chronotype was significantly independently associated with increased risk of hypertension.

Keywords: chronotype; hypertension; metabolic parameters; risk factors; sleep.

PubMed Disclaimer

Conflict of interest statement

The author(s) report no conflicts of interest in this work.

Figures

Figure 1
Figure 1
The restricted cubic spline (RCS) for the association of hypertension risk with chronotype score. The line with shade represented adjusted odds ratios (95% confidence interval (CI)) based on RCS for the natural-log (ln) transformed levels of chronotype score in the logistic regression model. Knots were placed at the 5th, 50th, and 95th percentiles of the chronotype score distribution, and the reference value was set at the 50th percentile. (A) The unadjusted OR (95% CI). (B) Adjusted for age, sex, body mass index, smoking status, and drinking status.
Figure 2
Figure 2
Forest plot for the association between chronotype score and metabolic parameters calculated using linear regression model. The chronotype score and metabolic parameters concentration were natural-log (ln) transformed. Model 1 was unadjusted. Model 2 was adjusted for age, sex, body mass index, smoking status, drinking status, and physical activity.
Figure 3
Figure 3
ROC curve generated by the multivariable logistic regression model for discriminating hypertension. The blue dotted line represented the basic variable regression model, which ultimately retained factors in the multivariable regression model including age, sex, BMI, and chronotype. The Orange solid line represented the full variable regression model, which ultimately retained factors in the multivariable regression model including age, sex BMI, chronotype, TC, ALT, ALP, and SUA. The AUC was 0.757 (95% CI: 0.725–0.788) for basic variable regression model and 0.779 (95% CI: 0.749–0.808) for full variable regression model. Abbreviations: ROC, receiver operator characteristic curve; BMI, body mass index; TC, total cholesterol; ALT, alanine transaminase; ALP, alkaline phosphatase; SUA, serum uric acid; AUC, area under the ROC curve.

Similar articles

References

    1. Zhang M, Shi Y, Zhou B, et al. Prevalence, awareness, treatment, and control of hypertension in China, 2004–18: findings from six rounds of a national survey. BMJ. 2023;380:e071952. doi: 10.1136/bmj-2022-071952 - DOI - PMC - PubMed
    1. Wang Z, Wang S, Lin H, Wang C, Gao D. Prevalence of hypertension and related risk factors in older Chinese population: a meta-analysis. Front Public Health. 2024;12:1320295. doi: 10.3389/fpubh.2024.1320295 - DOI - PMC - PubMed
    1. Vera B, Dashti HS, Gomez-Abellan P, et al. Modifiable lifestyle behaviors, but not a genetic risk score, associate with metabolic syndrome in evening chronotypes. Sci Rep. 2018;8(1):945. doi: 10.1038/s41598-017-18268-z - DOI - PMC - PubMed
    1. Yang Y, Li SX, Zhang Y, et al. Chronotype is associated with eating behaviors, physical activity and overweight in school-aged children. Nutr J. 2023;22(1):50. doi: 10.1186/s12937-023-00875-4 - DOI - PMC - PubMed
    1. Horne JA, Ostberg O. A self-assessment questionnaire to determine morningness-eveningness in human circadian rhythms. Int J Chronobiol. 1976;4(2):97–110. - PubMed

LinkOut - more resources