Longitudinal sleep characteristics and hypertension status: results from the Wisconsin Sleep Cohort Study
- PMID: 33186322
- PMCID: PMC10773172
- DOI: 10.1097/HJH.0000000000002692
Longitudinal sleep characteristics and hypertension status: results from the Wisconsin Sleep Cohort Study
Abstract
Aims: Sleep characteristics such as short sleep duration or sleep-disordered breathing are established predictors of hypertension. However, few studies have used in-lab polysomnography with a longitudinal design to measure how hypertension is associated with different sleep stages over time. The purpose of this study is to examine whether hypertension is associated with the longitudinal course of sleep quality over time.
Methods: The current study evaluated data from the Wisconsin Sleep Cohort Study, which consists of 1525 adults in a community-based population of middle-aged to older adults followed for approximately 12-25 years. Sleep characteristics were objectively measured using polysomnography and subjectively assessed using a self-report questionnaire on insomnia complaints. We used linear mixed-effects regression models and cumulative logit models to assess whether the interaction of hypertension and time is associated with objective and subjective sleep.
Results: We found people with hypertension exhibited a greater decline in total sleep time in rapid eye movement sleep (%) over time than those without hypertension (P < 0.05). Individuals with hypertension had less decline in % N3 sleep over time than those without hypertension (P < 0.05). Among the subjective insomnia complaints, our findings indicate hypertensive individuals have a higher probability of having higher levels of 'difficulties in falling asleep' compared with people without hypertension.
Conclusion: These findings suggest that hypertension is associated with modified longitudinal changes of objective and subjective sleep characteristics.
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
Conflict of interest statement
The Wisconsin Sleep Cohort Study and E.H. and P.P. were supported by the National Heart, Lung, and Blood Institute (R01HL62252), National Institute on Aging (R01AG036838, R01AG058680) and the National Center for Research Resources (UL1RR025011) at the US National Institute of Health. C.M. was supported by Alzheimer’s Association, Barbara and Richard Csomay Center for Gerontological Excellence at the University of Iowa College of Nursing, and Aging, Mind, and Brain Initiative at the University of Iowa. Contents are solely the responsibility of the authors and do not necessarily represent the official views of Alzheimer’s Association, Csomay Center, Aging, Mind, and Brain Initiative, and National Institute of Health.
Figures
Comment in
-
Hypertension and sleep health: a multidimensional puzzle.J Hypertens. 2021 Apr 1;39(4):600-601. doi: 10.1097/HJH.0000000000002743. J Hypertens. 2021. PMID: 33649279 No abstract available.
References
-
- Centers for Disease Control. CDC - Data and Statistics - Sleep and Sleep Disorders. - Data Stat. - Sleep Sleep Disord. 2017.https://www.cdc.gov/sleep/data_statistics.html (accessed 14 Sep2018).
-
- Kryger MH, Roth T, Dement WC. Principles and Practice of Sleep Medicine. 5 edition. Saunders; 2010.
-
- Ohayon MM, Carskadon MA, Guilleminault C, Vitiello MV. Meta-analysis of quantitative sleep parameters from childhood to old age in healthy individuals: developing normative sleep values across the human lifespan. Sleep 2004; 27:1255–1273. - PubMed
-
- Young T, Peppard PE, Gottlieb DJ. Epidemiology of obstructive sleep apnea: a population health perspective. Am J Respir Crit Care Med 2002; 165:1217–1239. - PubMed
-
- Ancoli-Israel S. Sleep and its disorders in aging populations. Sleep Med 2009; 10, Supplement 1:S7–S11. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous
