1
|
Yang L, Hu FX, Wang K, Wang ZZ, Yang J. Association of sleep duration with hypertension in young and middle-aged adults: A systematic review and meta-analysis. INTERNATIONAL JOURNAL OF CARDIOLOGY. CARDIOVASCULAR RISK AND PREVENTION 2025; 25:200387. [PMID: 40129525 PMCID: PMC11929947 DOI: 10.1016/j.ijcrp.2025.200387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2024] [Revised: 01/09/2025] [Accepted: 03/05/2025] [Indexed: 03/26/2025]
Abstract
Background Hypertension is a primary risk factor for cardiovascular and cerebrovascular diseases. A number of studies have suggested that sleep duration play an important role in the development of hypertension. Hypertension in young and middle-aged individuals is characterized by low awareness and treatment rates, increasing the risk of adverse events. To further elucidate the relationship between sleep duration and hypertension risk in young and middle-aged individuals, we conducted a meta-analysis. Methods This study searched PubMed, Embase, and the Cochrane Library from January 2003 to November 5, 2023. Data analysis was performed using STATA 17. Using Q test and I2-statistic, heterogeneity test for the included studies was conducted. Potential small-sample effects were evaluated based on the symmetry of funnel plots, and publication bias in included studies was evaluated using Egger's test. Results Data analysis of sleep duration was conducted for 16 studies, which revealed that both long sleep duration (OR, 1.10; 95 % CI, 1.05-1.15) and short sleep duration (RR: 1.10, 95 % CI: 1.05 to 1.15) were associated with hypertension in young and middle-aged individuals, particularly in Asian populations. Conclusions This meta-analysis revealed an association between sleep duration (short [<7 h] and long [≥9 h]) and the development of hypertension in young and middle-aged adults, particularly in Asian populations. Sleep is a behavior that can be modified. Clinicians and health professionals should be encouraged to intensify efforts to promote healthy sleep for all and reduce the occurrence of high blood pressure in young and middle-aged individuals.
Collapse
Affiliation(s)
- Lei Yang
- Shandong University of Traditional Chinese Medicine, 250014, Jinan, China
| | - Fang-Xiao Hu
- Shandong University of Traditional Chinese Medicine, 250014, Jinan, China
| | - Kun Wang
- Shandong University of Traditional Chinese Medicine, 250014, Jinan, China
| | - Zhi-Zheng Wang
- Shandong University of Traditional Chinese Medicine, 250014, Jinan, China
| | - Jie Yang
- Department of Cardiovascular, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China
| |
Collapse
|
2
|
Xu X, Yu Y, Fan J, Shen S, Zhao Z, Ding S, Zhang J, Xu Z, Wang Y, Han L, Tang Y. Chronobiological Patterns and Risk of Acute Aortic Dissection: A Clinical Retrospective and Two-Sample Mendelian Randomisation Study. Heart Lung Circ 2024:S1443-9506(24)01869-9. [PMID: 39709285 DOI: 10.1016/j.hlc.2024.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 09/17/2024] [Accepted: 10/08/2024] [Indexed: 12/23/2024]
Abstract
AIM Acute aortic dissection (AAD) represents a cardiovascular ailment characterised by a notable mortality rate. Chronobiological patterns can offer a predictive framework for anticipating the onset of AAD. METHOD Data were gathered from 1,151 patients diagnosed with AAD at Changhai Hospital in Shanghai, China, spanning 2000-2023. The χ2 test was used to assess whether specific periods exhibited significantly different seasonal/weekly distributions compared with others. Fourier models were utilised for the analysis of rhythmicity in monthly/circadian distribution. Publicly available genome-wide association studies datasets were used to establish the causal relationship between chronotype and AAD. Two sets of genetics instruments were used for analysis, derived from publicly available genetic summary data: 75 single-nucleotide polymorphisms (SNPs) significantly associated with chronotype; and SNPs associated with AAD in the FinnGen consortium. RESULTS The mean age was 51.5±13.8 years, with 665 patients (57.8%) aged <55 years. Among the 1,151 patients, 80.9% were male. The distribution of DeBakey types was 73.2% (843) for DeBakey I, 21% (242) for DeBakey II, and 5.7% (66) for DeBakey III. Comorbidities included hypertension in 58.5% (673 cases) and diabetes in 7.8% (90 cases). A peak occurred during colder periods (winter/December), and a trough was noted in warmer periods (summer/June). Weekly distribution exhibited no significant variation. Fourier analysis revealed a statistically significant circadian variation (p<0.0001) with a trough between 23:00 and 00:00, a prominent peak from 07:00 to 08:00, and a minor peak between 20:00 and 21:00. Subgroup analyses identified circadian rhythmicity in all subgroups, except for the DeBakey III group and the female group. Using the 75 chronotype-related SNPs, evidence was found of a potential causal effect of chronotype on the risk of AAD, as the inverse-variance weighting analysis showed that self-report chronotype of morningness was associated with a decreased risk of AAD. CONCLUSION The findings substantiate that the initiation of AAD displays noteworthy seasonal, monthly, and circadian patterns. The Mendelian randomisation analysis also indicated that the onset of acute aortic dissection is related to circadian rhythm. These findings offer a fresh perspective, facilitating the identification of triggering factors for AAD and bolstering preventive measures for this catastrophic event.
Collapse
Affiliation(s)
- Xiangyang Xu
- Department of Cardiovascular Surgery, Changhai Hospital, Shanghai, China
| | - Yizhi Yu
- Department of Cardiovascular Surgery, Changhai Hospital, Shanghai, China
| | - Jiefu Fan
- Naval Medical Center of PLA, Shanghai, China
| | | | - Zhimin Zhao
- Department of Cardiovascular Surgery, Changhai Hospital, Shanghai, China
| | - Sufan Ding
- Department of Cardiovascular Surgery, Changhai Hospital, Shanghai, China
| | - Jiajun Zhang
- Department of Cardiovascular Surgery, Changhai Hospital, Shanghai, China
| | - Zhiyun Xu
- Department of Cardiovascular Surgery, Changhai Hospital, Shanghai, China
| | | | - Lin Han
- Department of Cardiovascular Surgery, Changhai Hospital, Shanghai, China
| | - Yangfeng Tang
- Department of Cardiovascular Surgery, Changhai Hospital, Shanghai, China.
| |
Collapse
|
3
|
Kim Y, Mattos MK, Esquivel JH, Davis EM, Logan J. Sleep and blood pressure variability: A systematic literature review. Heart Lung 2024; 68:323-336. [PMID: 39217647 DOI: 10.1016/j.hrtlng.2024.08.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 08/21/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Blood pressure variability (BPV) is a prognostic marker of cardiovascular disease (CVD). Sleep is recognized as a significant risk factor for CVD; however, little is known about the relationship between sleep characteristics and BPV. OBJECTIVE In this systematic review, we aimed to (1) describe methods used to measure BPV and sleep and (2) describe the current evidence in the literature on the association between sleep and BPV. METHODS A systematic search was conducted using the search terms "sleep" AND ("blood pressure variability" OR "ambulatory blood pressure monitor") in CINAHL, PubMed, Web of Science, and PsycINFO databases. RESULTS Twenty-two studies were included in this systematic review. Sleep was measured using various methods, including polysomnography, actigraphy, sleep diaries, and questionnaires, while BPV was measured over various time intervals using different monitoring devices such as a beat-to-beat blood pressure (BP) monitoring device, a 24-h ambulatory BP monitor, or an automatic upper arm BP monitor. The studies demonstrated mixed results on the associations between sleep parameters (sleep quality, architecture, and duration) and increased BPV. CONCLUSIONS Although the mechanisms that explain the relationship between sleep and BPV are still unclear, accumulating evidence suggests potential associations between increased BPV with poor sleep quality and longer sleep duration. Given the recent development of sleep and BP monitoring technologies, further research is warranted to assess sleep and BPV under free-living conditions. Such studies will advance our understanding of complex interactions between sleep and CVD risk.
Collapse
Affiliation(s)
- Yeonsu Kim
- University of Virginia School of Nursing, 225 Jeanette Lancaster Way, Charlottesville, VA, 22903, USA.
| | - Meghan Kathleen Mattos
- University of Virginia School of Nursing, 5012 McLeod Hall, 202 Jeanette Lancaster Way, Charlottesville, VA, 22903, USA
| | - Jill Howie Esquivel
- University of California San Francisco School of Nursing, 2 Koret Way, San Francisco, CA, 94143, USA
| | - Eric M Davis
- Department of Medicine, University of Virginia, 1222 Jefferson Park Ave, Charlottesville, VA, 22903, USA
| | - Jeongok Logan
- University of Virginia School of Nursing, 4011 McLeod Hall, 202 Jeanette Lancaster Way, Charlottesville, VA, 22903, USA
| |
Collapse
|
4
|
Kogon AJ, Maqsood AM, LoGuidice J, Amaral S, Meyers K, Mitchell JA. Sleep Duration and Blood Pressure in Youth Referred for Elevated Blood Pressure Evaluation. Pediatrics 2024; 154:e2023062940. [PMID: 38887814 DOI: 10.1542/peds.2023-062940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 04/15/2024] [Accepted: 04/18/2024] [Indexed: 06/20/2024] Open
Abstract
OBJECTIVES Sleep promotion is not specifically recommended as a target for hypertension management. We examined associations of sleep duration and timing with blood pressure parameters in patients referred to pediatric nephrology clinic for elevated blood pressure evaluation. METHODS This is a retrospective study of initial ambulatory blood pressure monitoring data and self-report sleep data collected from patients referred to nephrology clinic for the evaluation of elevated blood pressure. Linear and logistic regression modeling determined associations between sleep exposures (duration and timing) and continuous and dichotomous blood pressure outcomes, respectively, adjusted for age, sex, body mass index, and weekday versus weekend status. RESULTS The study sample included 539 patients with mean age 14.6 years and 56% meeting hypertension criteria. Sleep duration averaged 9.1 hours per night. Average timing of sleep onset and offset were 11:06 pm and 8:18 am, respectively. Longer sleep duration was associated with better daytime blood pressure parameters (eg, every extra hour of sleep duration was associated with a reduced odds of wake hypertension [odds ratio, 0.88; 95% CI, 0.79-0.99]). Later sleep onset was associated with worse daytime blood pressure parameters (eg, each additional hour of later sleep onset was associated with higher wake systolic blood pressure index [mean wake blood pressure/95th percentile]) (β = 0.07; 95% CI, 0.02-0.13). Associations were consistent across sex, age, body mass index, and weekday status. CONCLUSIONS Longer sleep duration and earlier sleep onset were associated with lower blood pressure. This suggests that sleep optimization may be an important target for intervention in hypertension management.
Collapse
Affiliation(s)
- Amy J Kogon
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Anam M Maqsood
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Jill LoGuidice
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Sandra Amaral
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Kevin Meyers
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Jonathan A Mitchell
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Division of Gastroenterology, Hepatology, and Nutrition, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| |
Collapse
|
5
|
Ding Y, Xu X, Xin Z, Cao Q, Huang J, Wu X, Huo Y, Wan Q, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Xu M, Wang T, Zhao Z, Gao Z, Wang G, Shen F, Luo Z, Chen L, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Yang T, Deng H, Chen L, Zeng T, Zhao J, Mu Y, Wu S, Chen Y, Lu J, Wang W, Ning G, Xu Y, Bi Y, Li M. Associations of sleeping patterns and isotemporal substitution of other behavior with the prevalence of CKD in Chinese adults. Front Med 2024; 18:303-314. [PMID: 38049616 DOI: 10.1007/s11684-023-1019-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 06/24/2023] [Indexed: 12/06/2023]
Abstract
Studies have found a U-shaped relationship between sleep duration and chronic kidney disease (CKD) risk, but limited research evaluated the association of reallocating excessive sleep to other behavior with CKD. We included 104 538 participants from the nationwide cohort of the Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study, with self-reported time of daily-life behavior. Using isotemporal substitution models, we found that substituting 1 h of sleeping with sitting, walking, or moderate-to-vigorous physical activity was associated with a lower CKD prevalence. Leisure-time physical activity displacement was associated with a greater prevalence reduction than occupational physical activity in working population. In stratified analysis, a lower CKD prevalence related to substitution toward physical activity was found in long sleepers. More pronounced correlations were observed in long sleepers with diabetes than in those with prediabetes, and they benefited from other behavior substitutions toward a more active way. The U-shaped association between sleep duration and CKD prevalence implied the potential effects of insufficient and excessive sleep on the kidneys, in which the pernicious link with oversleep could be reversed by time reallocation to physical activity. The divergence in the predicted effect on CKD following time reallocation to behavior of different domains and intensities and in subpopulations with diverse metabolic statuses underlined the importance of optimizing sleeping patterns and adjusting integral behavioral composition.
Collapse
Affiliation(s)
- Yi Ding
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiaoli Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhuojun Xin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Qiuyu Cao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jiaojiao Huang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xianglin Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital, Affiliated to Nanchang University, Nanchang, 330000, China
| | - Qin Wan
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China
| | - Yingfen Qin
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310000, China
| | - Lixin Shi
- Department of Endocrinology, Affiliated Hospital of Guiyang Medical University, Guiyang, 550000, China
| | - Qing Su
- Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200000, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510000, China
| | - Guijun Qin
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, China
| | - Xulei Tang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, 350000, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Affiliated of Dalian Medical University, Dalian, 116000, China
| | - Guixia Wang
- Department of Endocrinology, The First Hospital of Jilin University, Changchun, 130000, China
| | - Feixia Shen
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, China
| | - Zuojie Luo
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, 250000, China
| | - Qiang Li
- Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150000, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310000, China
| | - Yinfei Zhang
- Department of Endocrinology, Central Hospital of Shanghai Jiading District, Shanghai, 200000, China
| | - Chao Liu
- Department of Endocrinology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, 210000, China
| | - Youmin Wang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230000, China
| | - Tao Yang
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210000, China
| | - Huacong Deng
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 410000, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, China
| | - Jiajun Zhao
- Shandong Provincial Hospital, Affiliated to Shandong University, Jinan, 250000, China
| | - Yiming Mu
- Department of Endocrinology, Chinese People's Liberation Army General Hospital, Beijing, 100000, China
| | - Shengli Wu
- Department of Endocrinology, Karamay Municipal People's Hospital, Karamay, 834000, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| |
Collapse
|
6
|
Gumz ML, Shimbo D, Abdalla M, Balijepalli RC, Benedict C, Chen Y, Earnest DJ, Gamble KL, Garrison SR, Gong MC, Hogenesch JB, Hong Y, Ivy JR, Joe B, Laposky AD, Liang M, MacLaughlin EJ, Martino TA, Pollock DM, Redline S, Rogers A, Dan Rudic R, Schernhammer ES, Stergiou GS, St-Onge MP, Wang X, Wright J, Oh YS. Toward Precision Medicine: Circadian Rhythm of Blood Pressure and Chronotherapy for Hypertension - 2021 NHLBI Workshop Report. Hypertension 2023; 80:503-522. [PMID: 36448463 PMCID: PMC9931676 DOI: 10.1161/hypertensionaha.122.19372] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Healthy individuals exhibit blood pressure variation over a 24-hour period with higher blood pressure during wakefulness and lower blood pressure during sleep. Loss or disruption of the blood pressure circadian rhythm has been linked to adverse health outcomes, for example, cardiovascular disease, dementia, and chronic kidney disease. However, the current diagnostic and therapeutic approaches lack sufficient attention to the circadian rhythmicity of blood pressure. Sleep patterns, hormone release, eating habits, digestion, body temperature, renal and cardiovascular function, and other important host functions as well as gut microbiota exhibit circadian rhythms, and influence circadian rhythms of blood pressure. Potential benefits of nonpharmacologic interventions such as meal timing, and pharmacologic chronotherapeutic interventions, such as the bedtime administration of antihypertensive medications, have recently been suggested in some studies. However, the mechanisms underlying circadian rhythm-mediated blood pressure regulation and the efficacy of chronotherapy in hypertension remain unclear. This review summarizes the results of the National Heart, Lung, and Blood Institute workshop convened on October 27 to 29, 2021 to assess knowledge gaps and research opportunities in the study of circadian rhythm of blood pressure and chronotherapy for hypertension.
Collapse
Affiliation(s)
- Michelle L Gumz
- Department of Physiology and Aging; Center for Integrative Cardiovascular and Metabolic Disease, Department of Medicine, Division of Nephrology, Hypertension and Renal Transplantation, University of Florida, Gainesville, FL (M.L.G.)
| | - Daichi Shimbo
- Department of Medicine, The Columbia Hypertension Center, Columbia University Irving Medical Center, New York, NY (D.S.)
| | - Marwah Abdalla
- Department of Medicine, Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY (M.A.)
| | - Ravi C Balijepalli
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD (R.C.B., Y.H., J.W., Y.S.O.)
| | - Christian Benedict
- Department of Pharmaceutical Biosciences, Molecular Neuropharmacology, Uppsala University, Sweden (C.B.)
| | - Yabing Chen
- Department of Pathology, University of Alabama at Birmingham, and Research Department, Birmingham VA Medical Center, AL (Y.C.)
| | - David J Earnest
- Department of Neuroscience & Experimental Therapeutics, Texas A&M University, Bryan, TX (D.J.E.)
| | - Karen L Gamble
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, AL (K.L.G.)
| | - Scott R Garrison
- Department of Family Medicine, University of Alberta, Canada (S.R.G.)
| | - Ming C Gong
- Department of Physiology, University of Kentucky, Lexington, KY (M.C.G.)
| | | | - Yuling Hong
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD (R.C.B., Y.H., J.W., Y.S.O.)
| | - Jessica R Ivy
- University/British Heart Foundation Centre for Cardiovascular Science, The Queen's Medical Research Institute, The University of Edinburgh, United Kingdom (J.R.I.)
| | - Bina Joe
- Department of Physiology and Pharmacology and Center for Hypertension and Precision Medicine, University of Toledo College of Medicine and Life Sciences, OH (B.J.)
| | - Aaron D Laposky
- National Center on Sleep Disorders Research, Division of Lung Diseases, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD (A.D.L.)
| | - Mingyu Liang
- Center of Systems Molecular Medicine, Department of Physiology, Medical College of Wisconsin, Milwaukee, WI (M.L.)
| | - Eric J MacLaughlin
- Department of Pharmacy Practice, Texas Tech University Health Sciences Center, Amarillo, TX (E.J.M.)
| | - Tami A Martino
- Center for Cardiovascular Investigations, Department of Biomedical Sciences, University of Guelph, Ontario, Canada (T.A.M.)
| | - David M Pollock
- Division of Nephrology, Department of Medicine, University of Alabama at Birmingham, AL (D.M.P.)
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (S.R.)
| | - Amy Rogers
- Division of Molecular and Clinical Medicine, University of Dundee, United Kingdom (A.R.)
| | - R Dan Rudic
- Department of Pharmacology and Toxicology, Augusta University, GA (R.D.R.)
| | - Eva S Schernhammer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (E.S.S.)
| | - George S Stergiou
- Hypertension Center, STRIDE-7, National and Kapodistrian University of Athens, School of Medicine, Third Department of Medicine, Sotiria Hospital, Athens, Greece (G.S.S.)
| | - Marie-Pierre St-Onge
- Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center' New York, NY (M.-P.S.-O.)
| | - Xiaoling Wang
- Georgia Prevention Institute, Department of Medicine, Augusta University, GA (X.W.)
| | - Jacqueline Wright
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD (R.C.B., Y.H., J.W., Y.S.O.)
| | - Young S Oh
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD (R.C.B., Y.H., J.W., Y.S.O.)
| |
Collapse
|
7
|
Dai Y, Chen B, Chen L, Vgontzas AN, Fernandez-Mendoza J, Karataraki M, Tang X, Li Y. Insomnia with objective short sleep duration is associated with hypertension. J Sleep Res 2023:e13833. [PMID: 36704942 DOI: 10.1111/jsr.13833] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 12/22/2022] [Accepted: 01/04/2023] [Indexed: 01/28/2023]
Abstract
Insomnia with objective short sleep duration has been proposed as the most biologically severe phenotype of the disorder associated with cardiometabolic morbidity in population-based samples. In this study, we investigated the association between insomnia with objective short sleep duration and hypertension in a large clinical sample. We studied 348 patients diagnosed with chronic insomnia disorder based on International Classification of Sleep Disorders Third Edition criteria and 150 normal sleepers. Objective short sleep duration was defined by the median total sleep time of the sample (< 7 hr) measured with 1-night polysomnography. Hypertension was defined based on blood pressure levels, antihypertensive medication use and/or a physician diagnosis. After adjusting for potential confounders, patients with chronic insomnia disorder who slept < 7 hr were associated with 2.8-fold increased odds of hypertension compared with normal sleepers who slept ≥ 7 hr (odds ratio = 2.81, 95% confidence interval = 1.068-7.411) or < 7 hr (odds ratio = 2.75, 95% confidence interval = 1.005-7.542), whereas patients with chronic insomnia disorder who slept ≥ 7 hr (odds ratio = 1.52, 95% confidence interval = 0.537-4.285) or normal sleepers who slept < 7 hr (odds ratio = 1.07, 95% confidence interval = 0.294-3.904) were not significantly associated with increased odds of hypertension compared with normal sleepers who slept ≥ 7 hr. Linear regression analyses showed that, for every hour decrease in total sleep time, systolic and diastolic blood pressure increased by 1.014 mmHg (p = 0.045) and 0.923 mmHg (p = 0.015), respectively, in patients with chronic insomnia disorder but not in normal sleepers. Our findings further support that insomnia with objective short sleep duration is a risk factor for hypertension, and objective short sleep duration may be a useful marker of the biological severity of chronic insomnia disorder in clinical practice.
Collapse
Affiliation(s)
- Yanyuan Dai
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China
- Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Baixin Chen
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China
- Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Le Chen
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China
- Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Alexandros N Vgontzas
- Sleep Research and Treatment Center, Department of Psychiatry and Behavioral Health, Pennsylvania State University, College of Medicine, Hershey, Pennsylvania, USA
| | - Julio Fernandez-Mendoza
- Sleep Research and Treatment Center, Department of Psychiatry and Behavioral Health, Pennsylvania State University, College of Medicine, Hershey, Pennsylvania, USA
| | - Maria Karataraki
- Department of Psychiatry and Behavioral Sciences, University of Crete, Heraklion, Greece
| | - Xiangdong Tang
- Sleep Medicine Center, Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yun Li
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou University Medical College, Shantou, Guangdong, China
- Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
| |
Collapse
|
8
|
Abstract
PURPOSE OF REVIEW We discuss the relationship between sleep and circadian factors with cardiovascular disease (CVD) risk, including physiologic, behavioral, and psychological mechanisms along this pathway. RECENT FINDINGS The relationship between short and long sleep duration, as well as insomnia, with CVD risk is well-established. Recent work has highlighted how other sleep factors, such as sleep regularity (i.e., consistency of sleep timing), multidimensional sleep health, and circadian factors like chronotype and social jetlag, relate to CVD risk. Sleep-focused interventions (e.g., cognitive behavioral therapy for insomnia and sleep extension) may be effective to reduce CVD risk and disease burden. Sleep is increasingly recognized as an integral component of cardiovascular health. This was underscored by the recent inclusion of sleep duration as a health behavior in the American Heart Association's Life's Essential 8 for defining optimal cardiovascular health.
Collapse
Affiliation(s)
- Joseph Belloir
- School of Nursing, Columbia University, New York, NY, USA
| | - Nour Makarem
- Department of Epidemiology, Mailman School of Public Health Columbia University Irving Medical Center, New York, NY, USA
| | - Ari Shechter
- Center for Behavioral Cardiovascular Health, Department of Medicine, Columbia University Irving Medical Center, 622 West 168th Street, 9th Floor, New York, NY, 10032, USA.
- Center of Excellence for Sleep & Circadian Research, Columbia University Irving Medical Center, New York, NY, USA.
| |
Collapse
|
9
|
|
10
|
Abdalla M, Muntner P. Reply to 'Sleep duration and sleep blood pressure: the Nagahama Study'. J Hypertens 2022; 40:1625-1627. [PMID: 35881454 PMCID: PMC9333260 DOI: 10.1097/hjh.0000000000003161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
Affiliation(s)
- Marwah Abdalla
- Department of Medicine, Columbia University Irving Medical Center, New York, New York
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| |
Collapse
|