1
|
Chang X, Chen X, Wu X, Chen X, Zhang N, Lv J, Yu C, Sun D, Pei P, Cheng Y, Liu Y, Wu X. Association between sleep behaviors and stroke in Southwest China: a prospective cohort study. BMC Public Health 2024; 24:2937. [PMID: 39443903 PMCID: PMC11515456 DOI: 10.1186/s12889-024-20361-8] [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: 02/18/2024] [Accepted: 10/10/2024] [Indexed: 10/25/2024] Open
Abstract
BACKGROUND Sleep can function as a potential modifiable risk factor in the control and prevention of stroke. Geography significantly influences sleep patterns. The association of sleep with stroke in population of Southwest China has not so far been investigated. METHODS A total of 55,001 residents aged from 30 to 79 years in Southwest China were included in this study, obtaining their complete information of baseline survey and follow-up in China Kadoorie Biobank (CKB). Sleep-evaluating score was constructed on the basis of short/long sleep duration, insomnia, and snoring. The multivariate Cox proportional hazards regression was used to analyze the association between sleep behaviors and stroke. RESULTS During 11.15 years of follow-up, 3410 stroke cases (572.78 cases/100,000 person-years) were documented. There exists no association of sleep-evaluating score with the risk of stroke in the total population. Male-predisposing association between sleep-evaluating score and risk of stroke was observed (for total stroke, HR = 1.52, 95% CI: 1.03-2.23; for hemorrhagic stroke, HR = 2.31, 95% CI: 1.22-4.34), with anisotropism in male residents with overweight and obesity (HR = 1.93, 95% CI: 1.03-3.63), and those without hypertension (HR = 1.76, 95% CI: 1.01-3.07) in the baseline survey. CONCLUSIONS There exists the male-predisposing association between sleep-evaluating score and the risk of stroke in Southwest China. Improving sleep is required for reducing the risk of stroke.
Collapse
Affiliation(s)
- Xiaoyu Chang
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Chaoyang District, Changchun, Jilin Province, 130021, China
- Department of Chronic and Non-Communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, No. 6 Zhongxue Road, Wuhou District, Chengdu, Sichuan Province, 610041, China
| | - Xiaofang Chen
- Department of Epidemiology and Statistics, Chengdu Medical College, Chengdu, 610000, China
| | - Xia Wu
- Pengzhou Center for Disease Control and Prevention, Pengzhou, 611900, China
| | - Xiaofang Chen
- Pengzhou Center for Disease Control and Prevention, Pengzhou, 611900, China
| | - Ningmei Zhang
- Department of Chronic and Non-Communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, No. 6 Zhongxue Road, Wuhou District, Chengdu, Sichuan Province, 610041, China
| | - Jun Lv
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China
| | - Canqing Yu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China
| | - Dianjianyi Sun
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China
| | - Pei Pei
- Center for Public Health and Epidemic Preparedness and Response, Peking University, Beijing, 100191, China
| | - Yi Cheng
- The Cardiovascular Center, the First Hospital of Jilin University, Changchun, 130000, China
| | - Yawen Liu
- Department of Epidemiology and Statistics, School of Public Health, Jilin University, No. 1163 Xinmin Street, Chaoyang District, Changchun, Jilin Province, 130021, China.
| | - Xianping Wu
- Department of Chronic and Non-Communicable Disease Control and Prevention, Sichuan Center for Disease Control and Prevention, No. 6 Zhongxue Road, Wuhou District, Chengdu, Sichuan Province, 610041, China.
| |
Collapse
|
2
|
Tian T, Zeng J, Li YC, Wang J, Zhang DF, Wang DG, Pan HF, Fan JG, Ni J. Joint effects of sleep disturbance and renal function impairment on incident new-onset severe metabolic dysfunction-associated steatotic liver disease. Diabetes Obes Metab 2024; 26:4724-4733. [PMID: 39118216 DOI: 10.1111/dom.15841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 07/09/2024] [Accepted: 07/15/2024] [Indexed: 08/10/2024]
Abstract
AIM To elucidate the effects of sleep parameters and renal function on the risk of developing new-onset severe metabolic dysfunction-associated steatotic liver disease (MASLD). MATERIALS AND METHODS The primary analysis involved a cohort of 305 257 participants. Multivariable Cox models were employed to calculate hazard ratios and 95% confidence intervals. Traditional mediation and two-step Mendelian randomization (MR) analyses were conducted to assess the associations and mediating roles of renal function indicators between sleep and new-onset severe MASLD. RESULTS Poor sleep score and renal function biomarker score (RFS) were associated with an increased risk of new-onset severe MASLD (all ptrend <0.001). Participants with poor sleep patterns and the highest RFS had a 5.45-fold higher risk of new-onset severe MASLD, compared to those with healthy sleep patterns and the lowest RFS (p < 0.001). The RFS could explain 10.08% of the correlations between poor sleep score and risk of new-onset severe MASLD. Additionally, MR analyses supported a causal link between insomnia and new-onset severe MASLD and revealed a mediating role of chronic kidney disease in the connection between insomnia and new-onset severe MASLD risk. CONCLUSIONS This study highlights the independent and combined associations of sleep parameters and renal function indicators with new-onset severe MASLD, underscoring the bidirectional communication of the liver-kidney axis and providing modifiable strategies for preventing MASLD.
Collapse
Affiliation(s)
- Tian Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, China
- Department of Central Research Laboratory, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medicine Sciences and Peking Union Medical College, Nanjing, China
| | - Jing Zeng
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuan-Cheng Li
- Department of Central Research Laboratory, Jiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Institute of Dermatology, Chinese Academy of Medicine Sciences and Peking Union Medical College, Nanjing, China
| | - Jing Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, China
| | - Dan-Feng Zhang
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, China
- Department of Nephrology, The Second Hospital of Anhui Medical University, Hefei, China
| | - De-Guang Wang
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, China
- Department of Nephrology, The Second Hospital of Anhui Medical University, Hefei, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, China
| | - Jian-Gao Fan
- Department of Gastroenterology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jing Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, China
| |
Collapse
|
3
|
Wu D, Guo Z, Xue H, Fan L, Liao Y, Nyame L, Cui M, Tian Y, Ruan Z, Du W. Association between City-Level Particulate Matter Exposure and Frailty among Middle-Aged and Older Adults in China. Gerontology 2024; 70:1074-1087. [PMID: 39245032 DOI: 10.1159/000539517] [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: 12/11/2023] [Accepted: 05/18/2024] [Indexed: 09/10/2024] Open
Abstract
INTRODUCTION The effects of exposure to particulate matter and frailty, as well as its exposure-response relationship, have not been effectively explored. This study aimed to explore the association between long-term exposure to particulate matter and frailty state and each dimension in Chinese middle-aged and older adults, in addition to the exposure-response relationship. METHODS The data were obtained from the National Urban Air Quality Real-Time Dissemination Platform and China Health and Retirement Longitudinal Study (CHARLS). Frailty was measured by a frailty index containing 39 indicators. Annual averages of seven pollutants were calculated from hourly monitoring data. We used multilevel regression modeling to explore the association between long-term exposure to particulate matter and frailty. Meanwhile, we explored the exposure-response relationship based on a multilevel generalized summation model. We performed a sensitivity analysis using a multi-pollution model and a quantile-based g-computation (QGC) model. RESULTS A total of 15,611 participants were included in the analysis. We find that long-term exposure to PM2.5 was associated with an increased risk of pre-frailty and frailty (all p < 0.05). PMc and PM10 exhibited similar associations. The exposure-response relationship between PM2.5 showed a linear relationship, whereas the exposure-response relationship between PM10, PMc showed a nonlinear relationship. Elevated PM2.5 concentrations showed significant positive associations with the number of chronic disease score, IADL score, and functional limitation status score (all p < 0.05). PM10 and PMc showed similar positive correlations. These results remained robust after sensitivity analyses using a multi-pollution model and QGC model. CONCLUSION Chronic exposure to particulate matter was significantly associated with increased risk of frailty. The exposure-response relationship between PM2.5 concentration and frailty showed a linear relationship, and the exposure-response relationship between PM10 and PMc showed a nonlinear relationship. Exposure to a mixture of pollutants carried a higher risk of frailty than exposure to a single pollutant.
Collapse
Affiliation(s)
- Di Wu
- School of Public Health, Southeast University, Nanjing, China
| | - Zhen Guo
- School of Public Health, Southeast University, Nanjing, China
| | - Hui Xue
- School of Public Health, Southeast University, Nanjing, China,
| | - Lijun Fan
- School of Public Health, Southeast University, Nanjing, China
| | - Yilan Liao
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
| | - Linda Nyame
- School of Public Health, Southeast University, Nanjing, China
| | - Mengjing Cui
- School of Public Health, Southeast University, Nanjing, China
| | - Yong Tian
- School of Law and Politics, Nanjing University of Information Science and Technology, Nanjing, China
- Common Prosperity Research Institute, Nanjing University of Information Science and Technology, Nanjing, China
| | - Zengliang Ruan
- School of Public Health, Southeast University, Nanjing, China
| | - Wei Du
- School of Public Health, Southeast University, Nanjing, China
| |
Collapse
|
4
|
Imamura T, Ushijima R, Sobajima M, Fukuda N, Ueno H, Kinugawa K. Prognostic impact of insomnia in patients receiving trans-catheter aortic valve replacement. J Cardiol 2024; 84:113-118. [PMID: 38580176 DOI: 10.1016/j.jjcc.2024.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 02/27/2024] [Accepted: 03/14/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND The presence of insomnia exhibits a profound association with diverse cardiovascular pathologies. However, its prognostic implications in patients undergoing transcatheter aortic valve replacement (TAVR) for severe aortic stenosis remain ambiguous. METHODS This retrospective study enrolled patients who underwent TAVR for severe aortic stenosis at a prominent academic center from 2015 to 2022. The impact of insomnia, operationally defined as the prescription of soporific agents, on the two-year composite primary outcome comprising all-cause mortality and hospital readmissions was scrutinized. RESULTS A cohort of 345 patients (median age 85 years, 99 males) was encompassed in the analysis. All subjects underwent successful TAVR and subsequent discharge. The presence of insomnia (N = 91) emerged as an independent predictor of the two-year composite endpoint, with an adjusted hazard ratio of 1.66 (95 % confidence interval 1.08-2.57, p = 0.022), significantly delineating the two-year cumulative incidence of the primary endpoint (40 % versus 30 %, p = 0.035). CONCLUSION Approximately one-fourth of TAVR candidates manifested symptoms of insomnia, a condition autonomously correlated with heightened mortality and morbidity following the TAVR procedure. The optimal strategy for addressing insomnia in TAVR candidates constitutes a paramount consideration for future interventions.
Collapse
Affiliation(s)
- Teruhiko Imamura
- The Second Department of Internal Medicine, University of Toyama, Toyama, Japan.
| | - Ryuichi Ushijima
- The Second Department of Internal Medicine, University of Toyama, Toyama, Japan
| | - Mitsuo Sobajima
- The Second Department of Internal Medicine, University of Toyama, Toyama, Japan
| | - Nobuyuki Fukuda
- The Second Department of Internal Medicine, University of Toyama, Toyama, Japan
| | - Hiroshi Ueno
- The Second Department of Internal Medicine, University of Toyama, Toyama, Japan
| | - Koichiro Kinugawa
- The Second Department of Internal Medicine, University of Toyama, Toyama, Japan
| |
Collapse
|
5
|
He L, Ma T, Wang X, Cheng X, Bai Y. Association between longitudinal change of sleep patterns and the risk of cardiovascular diseases. Sleep 2024; 47:zsae084. [PMID: 38635888 DOI: 10.1093/sleep/zsae084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 03/04/2024] [Indexed: 04/20/2024] Open
Abstract
STUDY OBJECTIVES To investigate the role of longitudinal change of sleep patterns in the incidence of cardiovascular diseases (CVD). METHODS Based on UK Biobank, a total of 18 172 participants were enrolled. Five dimensions of healthy sleep including early chronotype, sleep 7-8 hours/day, free of insomnia, no snoring, and no frequent excessive daytime sleepiness were used to generate a healthy sleep score (HSS) ranging from 0 to 5. Corresponding to the HSS of 0-1, 2-3, and 4-5, the poor, intermediate, and healthy sleep patterns were defined. Based on changes in HSS across assessments 1 and 2, we calculated the absolute difference of HSS. For the change in sleep patterns, we categorized five profiles (stable healthy, worsening, stable intermediate, optimizing, and stable poor sleep patterns). The outcomes were incidence of CVD including coronary heart disease (CHD) and stroke. We assessed the adjusted hazard ratios and 95% confidence intervals (CIs) by Cox hazard models. RESULTS Compared with participants with stable poor patterns, those who improved their sleep patterns or maintained healthy sleep patterns had a 26% and 32% lower risk of CVD, respectively. Stable healthy sleep pattern was associated with a 29% and 44% reduced risk of CHD and stroke. Per unit, longitudinal increment of the HSS was related to an 8% lower risk of CVD and CHD. Compared with individuals with constant HSS, those with decreased HSS had a 13% higher risk of developing CVD. CONCLUSIONS Optimizing sleep patterns and maintaining a healthy sleep pattern may reduce the risk of CVD.
Collapse
Affiliation(s)
- Lingfang He
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Tianqi Ma
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Xuerui Wang
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Xunjie Cheng
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yongping Bai
- Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
6
|
Yan Z, Xu Y, Li K, Liu L. The correlation between frailty index and incidence, mortality in obstructive sleep apnea: Evidence from NHANES. Heliyon 2024; 10:e32514. [PMID: 39183837 PMCID: PMC11341328 DOI: 10.1016/j.heliyon.2024.e32514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 06/03/2024] [Accepted: 06/05/2024] [Indexed: 08/27/2024] Open
Abstract
Background The emergence of obstructive sleep apnea (OSA) is marked by a growing trend towards younger individuals, while its developmental trajectory remains shrouded in uncertainty, accompanied by intricate prognostic implications. While frailty and sleep problems often coexist, the relationship between them remains unclear. Hence, this study aims to utilize the National Health and Nutrition Examination Survey (NHANES) database from 2005 to 2008 to analyze and explore the relationship between the level of frailty index (FI) and the risk of OSA incidence and survival outcomes. Materials and methods Specialized weighted complex survey design analysis software was employed for data analysis. Multivariate logistic regression models and restricted cubic splines (RCS) were utilized to assess the association between FI and OSA incidence in all participants. Additionally, a Cox proportional hazards model was established to estimate the association between FI and the hazard ratios (HRs) for all-cause mortality and cardiovascular disease (CVD) mortality. Results A total of 8524 participants were included in this study. Compared to the Non-frail group (FI ≤ 0.1), OSA risk increased with higher FI levels. In Model 3, adjusted for multiple covariates, the Pro-frail group (0.1 0.3) [OR = 2.32, 95 % CI (1.55, 3.48)] exhibited an average 31 %, 62 %, and 132 % increase in OSA risk, respectively. RCS results demonstrated a nonlinear dose-response relationship between OSA risk and FI levels, with an increasing trend (P = 0.004). The Cox model indicated that, except for the Pro-frail group, OSA-related mortality risk also increased with higher FI levels, with a more pronounced effect on CVD-related mortality. Conclusion This study supports the hypothesis that FI may be associated with an increased risk of OSA, with a higher emphasis on OSA-related mortality risk in Mildly frail and Moderately/Severely frail populations.
Collapse
Affiliation(s)
- Zhaoqi Yan
- Jiangxi University of Traditional Chinese Medicine, Clinical Medical College, Nanchang, Jiangxi, China
| | - Yifeng Xu
- Jiangxi University of Traditional Chinese Medicine, Clinical Medical College, Nanchang, Jiangxi, China
| | - Keke Li
- Jiangxi University of Traditional Chinese Medicine, Clinical Medical College, Nanchang, Jiangxi, China
| | - Liangji Liu
- Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Department of Respiratory and Critical Care Medicine, Nanchang, Jiangxi, China
| |
Collapse
|
7
|
Komleva Y, Gollasch M, König M. Nocturia and frailty in older adults: a scoping review. BMC Geriatr 2024; 24:498. [PMID: 38844878 PMCID: PMC11155172 DOI: 10.1186/s12877-024-05049-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 05/06/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND More than one in two older people wake up several times a night to urinate. Far from being a minor inconvenience, nocturia is associated with poor health outcomes. Given the importance of sleep as a foundation for resilience and healthy ageing, nocturia may promote the development of frailty, which is inextricably linked to physical decline, disability, and mortality. The aim of this scoping review was to collate published evidence on the relationship between nocturia and frailty, using the methodological framework of Arksey and O'Malley, together with the Joanna Briggs Institute methodology as guidance (OSF registration: osf.io/d5ct7). METHODS Relevant publications were retrieved via PubMed, Embase, the Cochrane Library and Google Scholar. The Rayyan tool was used to facilitate the screening process. Data were extracted by two independent reviewers. 250 publications were initially identified, of which 87 met the eligibility criteria. RESULTS Most of the evidence came from cross-sectional studies, most of which had been published within the last 5 years. The researchers were diverse, with 27% having a geriatric background. Only few publications established a clear association between nocturia and frailty. Other topics included: the association between nocturia and poor sleep quality and duration; the association between sleep and frailty; the association between frailty, multimorbidity, and age-related changes in the lower urinary tract. CONCLUSION The findings emphasize the increasing interest and interdisciplinary nature of research into the relationship between frailty, nocturia, lower urinary tract symptoms, and sleep disturbances. Further research is required to enhance understanding, establish causality, and identify potential therapeutic approaches.
Collapse
Affiliation(s)
- Yulia Komleva
- Klinik und Poliklinik für Innere Medizin D-Geriatrie, Universitätsmedizin Greifswald, Walther-Rathenau-Str. 49, 17475, Greifswald, Germany
| | - Maik Gollasch
- Klinik und Poliklinik für Innere Medizin D-Geriatrie, Universitätsmedizin Greifswald, Walther-Rathenau-Str. 49, 17475, Greifswald, Germany
- Altersmedizinisches Zentrum, Kreiskrankenhaus Wolgast, Wolgast, Germany
| | - Maximilian König
- Klinik und Poliklinik für Innere Medizin D-Geriatrie, Universitätsmedizin Greifswald, Walther-Rathenau-Str. 49, 17475, Greifswald, Germany.
- Altersmedizinisches Zentrum, Kreiskrankenhaus Wolgast, Wolgast, Germany.
| |
Collapse
|
8
|
Deng Z, Hu Y, Duan L, Buyang Z, Huang Q, Fu X, Luo H, Hou T. Causality between sleep traits and the risk of frailty: a Mendelian randomization study. Front Public Health 2024; 12:1381482. [PMID: 38784581 PMCID: PMC11112029 DOI: 10.3389/fpubh.2024.1381482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 04/29/2024] [Indexed: 05/25/2024] Open
Abstract
Background Research based on observation has demonstrated a relationship between sleep traits and frailty; however, it remains uncertain if this correlation indicates causation. The purpose of this study was to look at the causal relationship that exists between frailty and sleep traits. Method Using summaries from a genome-wide association study of self-reported sleep features and frailty index, we performed a bidirectional Mendelian randomization (MR) analysis. Examining the causal relationships between seven sleep-related traits and frailty was the goal. The major method used to calculate effect estimates was the inverse-variance weighted method, supplemented by the weighted median and MR-Egger approaches. The study investigated pleiotropy and heterogeneity using several methodologies, such as the MR-Egger intercept, the MR-PRESSO approach, and the Cochran's Q test. We took multivariate Mendelian randomization and genetic correlations between related traits to enhance the confidence of the results. Furthermore, we used MRlap to correct for any estimation bias due to sample overlap. Results Insomnia, napping during the day, and sleep apnea syndrome exhibited a positive connection with the frailty index in forward MR analysis. Conversely, there is a negative link between getting up in the morning, snoring and sleep duration with the frailty index. During the reverse MR analysis, the frailty index exhibited a positive correlation with insomnia, napping during the day, and sleep apnea syndrome, while demonstrating a negative correlation with sleep duration. There was no direct correlation between snoring, chronotype, and frailty. In MVMR analyses, the causal effect of sleep characteristics on frailty indices remained consistent after adjusting for potential confounders including BMI, smoking, and triglycerides. Conclusion The findings of our investigation yield novel evidence that substantiates the notion of a bidirectional causal connection between sleep traits and frailty. Through the optimization of sleep, it is potentially feasible to hinder, postpone, or even reverse the state of frailty, and we proposed relevant interventions.
Collapse
Affiliation(s)
- Zhen Deng
- Chengdu Integrated Traditional Chinese Medicine and Western Medicine Hospital, Chengdu, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yifan Hu
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Lincheng Duan
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ziding Buyang
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qian Huang
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xuedan Fu
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hong Luo
- Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Tianshu Hou
- Chengdu Integrated Traditional Chinese Medicine and Western Medicine Hospital, Chengdu, China
| |
Collapse
|
9
|
Zhang Y, Yu G, Bai W, Wu S, Geng X, Zhang W, Liu Y, Meng Y, Gao J, Li W, Kou C. Association of depression and sleep quality with frailty: a cross-sectional study in China. Front Public Health 2024; 12:1361745. [PMID: 38645453 PMCID: PMC11026860 DOI: 10.3389/fpubh.2024.1361745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Accepted: 03/21/2024] [Indexed: 04/23/2024] Open
Abstract
Background With the rapid growth of global aging, frailty has become a serious public health burden, affecting the life quality of older adults. Depressive symptoms (depression hereafter) and sleep quality are associated with frailty, but the pathways in which sleep quality and depression affect frailty remain unclear. Method This cross-sectional study included 1866 community-dwelling older adults. Demographic characteristics and health-related data of them was collected, and we also assessed frailty, depression, and sleep quality. Descriptive statistics were carried out and ordinal logistic regression analysis was used to identify the factors correlated with frailty. Spearman correlation analysis and mediation analysis were employed to assess associations between sleep quality, depression and frailty. Two-sided p < 0.05 was considered as significant. Results The results showed that 4.1% older adults were frail and 31.0% were pre-frail. Ordinal logistic regression showed that age, consumptions of vegetables, exercise, sleep quality, depression, number of chronic diseases, chronic pain, and self-rated health were correlated with frailty. Spearman correlation analysis revealed that frailty was associated with depression and sleep quality. There was a mediation effect that sleep quality was a significant and positive predictor of frailty (total effect = 0.0545, 95% boot CI = 0.0449-0.0641), and depression was a mediator between sleep quality and frailty (mediation effect = 60.4%). Conclusion Depression and poor sleep quality may be early indicators of frailty in older adults. Improving the sleep quality and psychological state of older adults can improve frailty, which is beneficial for healthy aging.
Collapse
Affiliation(s)
- Yue Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Ge Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Wei Bai
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Songyu Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Xiaohan Geng
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Wangyi Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yihang Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yujiao Meng
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Junling Gao
- School of Public Health, Fudan University, Shanghai, China
| | - Wenjun Li
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| |
Collapse
|
10
|
Haapanen MJ, Mikkola TM, Jylhävä J, Wasenius NS, Kajantie E, Eriksson JG, von Bonsdorff MB. Lifestyle-related factors in late midlife as predictors of frailty from late midlife into old age: a longitudinal birth cohort study. Age Ageing 2024; 53:afae066. [PMID: 38557664 PMCID: PMC10982848 DOI: 10.1093/ageing/afae066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Few studies have examined longitudinal changes in lifestyle-related factors and frailty. METHODS We examined the association between individual lifestyle factors (exercise, diet, sleep, alcohol, smoking and body composition), their sum at baseline, their change over the 17-year follow-up and the rate of change in frailty index values using linear mixed models in a cohort of 2,000 participants aged 57-69 years at baseline. RESULTS A higher number of healthy lifestyle-related factors at baseline was associated with lower levels of frailty but not with its rate of change from late midlife into old age. Participants who stopped exercising regularly (adjusted β × Time = 0.19, 95%CI = 0.10, 0.27) and who began experiencing sleeping difficulties (adjusted β × Time = 0.20, 95%CI = 0.10, 0.31) experienced more rapid increases in frailty from late midlife into old age. Conversely, those whose sleep improved (adjusted β × Time = -0.10, 95%CI = -0.23, -0.01) showed a slower increase in frailty from late midlife onwards. Participants letting go of lifestyle-related factors (decline by 3+ factors vs. no change) became more frail faster from late midlife into old age (adjusted β × Time = 0.16, 95% CI = 0.01, 0.30). CONCLUSIONS Lifestyle-related differences in frailty were already evident in late midlife and persisted into old age. Adopting one new healthy lifestyle-related factor had a small impact on a slightly less steeply increasing level of frailty. Maintaining regular exercise and sleeping habits may help prevent more rapid increases in frailty.
Collapse
Affiliation(s)
- Markus J Haapanen
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Tuija M Mikkola
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland
- Public Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Juulia Jylhävä
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Niko S Wasenius
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - Eero Kajantie
- Public Health Unit, Finnish Institute for Health and Welfare, Helsinki and Oulu, Finland
- Clinical Medicine Research Unit, Oulu University Hospital and University of Oulu, Oulu, Finland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Children’s Hospital, Helsinki University Hospital, Helsinki, Finland
| | - Johan G Eriksson
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Yong Loo Lin School of Medicine, Department of Obstetrics and Gynecology and Human Potential Translational Research Programme, National University Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, Singapore
| | - Mikaela B von Bonsdorff
- Public Health Research Program, Folkhälsan Research Center, Helsinki, Finland
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| |
Collapse
|
11
|
Ribeiro BC, de Athayde Costa E Silva A, de Souza LBR, de Araújo Moraes JB, Carneiro SR, Neves LMT. Risk stratification for frailty, impairment and assessment of sleep disorders in community-dwelling older adults. Exp Gerontol 2024; 187:112370. [PMID: 38310982 DOI: 10.1016/j.exger.2024.112370] [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: 12/06/2023] [Revised: 01/22/2024] [Accepted: 01/25/2024] [Indexed: 02/06/2024]
Abstract
BACKGROUND Frailty is associated with an increased susceptibility to functional decline, impairment, hospitalization, and mortality among the older adults. However, the potential reversibility of frailty lies in identifying modifiable factors that could prevent, mitigate, or interrupt its progression. While there is a suggestion that sleep disorders may increase the risk of frailty and impairment, the risk stratification of this relationship remains inconclusive. OBJECTIVE Stratify the risk of frailty and impairment and investigate potential connections with sleep quality, excessive daytime sleepiness, and the risk of obstructive sleep apnea in older adults dwelling in the community. METHODS This was a quantitative cross-sectional investigation. Frailty risk and impairment were stratified using the Frail Non-disabled Questionnaire (for impairment) and the FRAIL Scale (for Frailty). The assessment of excessive daytime sleepiness, sleep quality, and the risk of obstructive sleep apnea involved the employment of the Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, and the STOP-BANG questionnaire, respectively. RESULTS A total of 109 older adults living in the urban area (86 %, p = 0.010), females (61 %; p = 0.030), median age 68 (64-75) years, with overweight (36 %, p < 0.010) and self-identified as belonging to other racial or ethnic categories (71 %, p < 0.010). According to the impairment assessment, 32 % of participants were classified as disable (p < 0.01). Conversely, as per the frailty evaluation, 33 % were pre-frail and 25 % were identified as frail. Additionally, a substantial proportion experienced poor sleep quality (80 %, p = 0.010), exhibited a moderate risk of obstructive sleep apnea (49 %, p < 0.010), and showed no signs of excessive daytime sleepiness (62 %, p < 0.010). There was a modest correlation between frailty and impairment with poor sleep quality (rho = 0.39; p < 0.001) and the risk of obstructive sleep apnea (rho = 0.26; p = 0.000). However, the was no significant relationship was observed between frailty and impairment and excessive daytime sleepiness (rho = 0.04; p = 0.660). Similarly, a modest correlation was observed between sleep quality (rho = 0.33; p < 0.001), the risk of obstructive sleep apnea (rho = 0.27; p = 0.001), and frailty. Conversely, no correlation was found with excessive daytime sleepiness (rho = 0.05; p = 0.590). Also, the poor sleep quality and the risk of obstructive sleep apnea explain 14 % of the risk of frailty in the population of community-dwelling older adults (r2 = 0.14; p = 0.04). CONCLUSION This study reveals a modest risk of frailty and impairment with sleep quality and the risk of obstructive sleep apnea, but not with excessive daytime sleepiness in community-dwelling older adults.
Collapse
Affiliation(s)
- Breno Caldas Ribeiro
- Graduate Program in Human Movement Sciences, Federal University of Pará, Belém, Pará, Brazil
| | | | | | | | - Saul Rassy Carneiro
- Graduate Program in Human Movement Sciences, Federal University of Pará, Belém, Pará, Brazil
| | | |
Collapse
|
12
|
Li C, Li N, Huang H, Li Y, Zhuang Y. Causal associations between leisure sedentary behaviors and sleep status with frailty: insight from Mendelian randomization study. BMC Geriatr 2024; 24:168. [PMID: 38368347 PMCID: PMC10874533 DOI: 10.1186/s12877-024-04758-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/30/2024] [Indexed: 02/19/2024] Open
Abstract
BACKGROUND Observational studies have suggested that sedentary behaviors and sleep status are associated with frailty. However, it remains unclear whether these associations are causal. METHODS Using summary statistics from genome-wide association studies, we evaluated the causal effect of modifiable risk factors, including leisure sedentary behaviors and sleep status on the frailty index (FI) using two-sample univariable and multivariable Mendelian randomization (MR) analyses. Genetic correlations were tested between the correlated traits. RESULTS We identified potential causal associations between the time spent watching television (β = 0.26, 95% confidence interval [CI]: 0.21-0.31, P = 3.98e-25), sleep duration (β = -0.18, 95%CI: -0.26, -0.10; P = 6.04e-06), and daytime napping (β = 0.29, 95%CI: 0.18-0.41, P = 2.68e-07) and the FI based on the inverse-variance-weighted method. The estimates were consistent across robust and multivariate MR analyses. Linkage disequilibrium score regression detected a genetic correlation between the time spent watching television (Rg = 0.43, P = 6.46e-48), sleep duration (Rg = -0.20, P = 5.29e-10), and daytime napping (Rg = 0.25, P = 3.34e-21) and the FI. CONCLUSIONS Genetic predispositions to time spent watching television and daytime napping were positively associated with the FI, while sleep duration was negatively associated with the FI. Our findings offer key insights into factors influencing biological aging and suggest areas for interventions to promote healthy aging and slow down the aging process.
Collapse
Affiliation(s)
- Chuang Li
- Department of Obstetrics & Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
| | - Na Li
- Department of Obstetrics & Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
| | - Hailong Huang
- Department of Obstetrics & Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
| | - Yangyang Li
- Department of Obstetrics & Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China
| | - Yanyan Zhuang
- Department of Obstetrics & Gynecology, Shengjing Hospital of China Medical University, Shenyang, China.
- Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Shenyang, China.
| |
Collapse
|
13
|
Liu C, Zhang Q, Liu C, Liu T, Song M, Zhang Q, Xie H, Lin S, Ren J, Chen Y, Zheng X, Shi J, Deng L, Shi H, Wu S. Age Differences in the Association of Sleep Duration Trajectory With Cancer Risk and Cancer-Specific Mortality: Prospective Cohort Study. JMIR Public Health Surveill 2024; 10:e50836. [PMID: 38324354 PMCID: PMC10882471 DOI: 10.2196/50836] [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: 07/14/2023] [Revised: 10/21/2023] [Accepted: 12/13/2023] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Baseline sleep duration is associated with cancer risk and cancer-specific mortality; however, the association between longitudinal patterns of sleep duration and these risks remains unknown. OBJECTIVE This study aimed to elucidate the association between sleep duration trajectory and cancer risk and cancer-specific mortality. METHODS The participants recruited in this study were from the Kailuan cohort, with all participants aged between 18 and 98 years and without cancer at baseline. The sleep duration of participants was continuously recorded in 2006, 2008, and 2010. Latent mixture modeling was used to identify shared sleep duration trajectories. Furthermore, the Cox proportional risk model was used to examine the association of sleep duration trajectory with cancer risk and cancer-specific mortality. RESULTS A total of 53,273 participants were included in the present study, of whom 40,909 (76.79%) were men and 12,364 (23.21%) were women. The average age of the participants was 49.03 (SD 11.76) years. During a median follow-up of 10.99 (IQR 10.27-11.15) years, 2705 participants developed cancers. Three sleep duration trajectories were identified: normal-stable (44,844/53,273, 84.18%), median-stable (5877/53,273, 11.03%), and decreasing low-stable (2552/53,273, 4.79%). Compared with the normal-stable group, the decreasing low-stable group had increased cancer risk (hazard ratio [HR] 1.39, 95% CI 1.16-1.65) and cancer-specific mortality (HR 1.54, 95% CI 1.18-2.06). Dividing the participants by an age cutoff of 45 years revealed an increase in cancer risk (HR 1.88, 95% CI 1.30-2.71) and cancer-specific mortality (HR 2.52, 95% CI 1.22-5.19) only in participants younger than 45 years, rather than middle-aged or older participants. Joint analysis revealed that compared with participants who had a stable sleep duration within the normal range and did not snore, those with a shortened sleep duration and snoring had the highest cancer risk (HR 2.62, 95% CI 1.46-4.70). CONCLUSIONS Sleep duration trajectories and quality are closely associated with cancer risk and cancer-specific mortality. However, these associations differ with age and are more pronounced in individuals aged <45 years. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR-TNRC-11001489; http://tinyurl.com/2u89hrhx.
Collapse
Affiliation(s)
- Chenan Liu
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Qingsong Zhang
- Department of General Surgery, Kailuan General Hospital, Tangshan, China
| | - Chenning Liu
- Department of Obstetrics and Gynecology, Dongguan Maternal and Child Health Care Hospital, Dongguan, China
| | - Tong Liu
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Mengmeng Song
- Cardiovascular Research Institute, University of California, San Francisco, CA, United States
| | - Qi Zhang
- Department of Genetics, Yale University School of Medicine, New Haven, CT, United States
| | - Hailun Xie
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Shiqi Lin
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Jiangshan Ren
- Department of Oncology, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yue Chen
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Xin Zheng
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Jinyu Shi
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Li Deng
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Hanping Shi
- Department of Gastrointestinal Surgery and Clinical Nutrition, Beijing Shijitan Hospital, Beijing, China
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, China
- Key Laboratory of of Cancer Food for Special Medical Purposes for State Market Regulation, Beijing, China
- Laboratory for Clinical Medicine, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| |
Collapse
|
14
|
Li L, Li X, Huang Y, Li H, Li C, Ma Y, Zhang J, Peng F, Lyu S. An RCT META analysis based on the effect of tai chi exercise therapy on the outcome of elderly patients with moderate-to-severe sleep disorders-A systematic review study. Heliyon 2024; 10:e24085. [PMID: 38293413 PMCID: PMC10826669 DOI: 10.1016/j.heliyon.2024.e24085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/16/2023] [Accepted: 01/03/2024] [Indexed: 02/01/2024] Open
Abstract
Background According to statistics, about one-fifth of the world's elderly people suffer from sleep disorders, and the problem of sleep disorders in the elderly is extremely serious, and this problem is one of the important causes of chronic diseases such as hypertension, hyperlipidemia, diabetes mellitus, and coronary heart disease in the elderly. The positive effect of Tai Chi exercise therapy on sleep problems has been confirmed, but at present, the effect of the specific duration of Tai Chi exercise on the improvement of elderly people with moderate to severe sleep disorders varies. Objective META analysis was used to investigate and find that long-term Tai Chi exercise therapy has the best effect on improving sleep in elderly patients with moderate to severe sleep disorders. Methods: META analysis was performed using Revman 5.3 after searching Web of science, Pubmed, Scopus, The Cochroae Library, OVID, CBM, CNKI, VIP, and other databases, and then filtering and extracting. Results A total of seven papers were included. Meta-analysis showed that tai chi exercise was more effective in improving sleep problems in elderly patients with sleep disorders compared to the control group, and the difference was significant. This was demonstrated by a decrease in the global Pittsburgh Sleep Quality Index (PSQI) score [SMD = -0.66, 95 % CI (-0.91, -0.41), P < 0.00001], as well as its subdomains of subjective sleep quality [SMD = -0.79, 95 % CI (-1.06, -0.52), P < 0.00001], sleep latency [SMD = -0.80, 95 % CI (-1.21, -0.40), P < 0.00001], sleep duration [SMD = -0.38, 95 % CI (-0.72, -0.04), P = 0.03], habitual sleep efficiency [SMD = -0.58, 95 % CI (-0.84, -0.31), P < 0.0001], sleep disturbance [SMD = -0.51, 95 % CI (-0.78, -0.25), P = 0.00001] and daytime dysfunction [SMD = -0.33, 95 % CI (-0.59, -0.07), P = 0.01]. Improvement was also observed in the Epworth Sleepiness Scale (ESS) and Insomnia Severity Index Scale (ISI). The results showed that the optimal duration and frequency of Tai Chi exercise therapy for improving moderately severe elderly patients with sleep disorders was long-term. Conclusion This study systematically assessed the efficacy of Tai Chi exercise therapy for elderly patients with moderate-to-severe sleep disorders. Through a meta-analysis of relevant randomized controlled trials (RCTs), it aims to determine the effectiveness of Tai Chi exercise in improving sleep quality in elderly patients with moderate-to-severe sleep disorders, as well as to compare its effects with those of traditional treatments; to analyze the safety of Tai Chi exercise for this patient population and assess its feasibility as a non-pharmacological therapy; and to fill the research gaps and provide more comprehensive and systematic evidence support. This study provides a practical approach to reducing the risk of medication side effects in older adults with sleep disorders and offers a potentially effective non-pharmacological treatment option, especially for those who are unable or unwilling to use medication. Tai chi exercise may not only improve sleep, but also improve coordination, muscle strength, balance, and reduce stress and anxiety in older adults. It also helps older adults socialize and enhances their social connections and emotional support. This study suggests that community centers or activity centers for the elderly can organize tai chi classes to promote the participation of older adults, and can be used as a scientific exercise rehabilitation tool in clinical treatment, incorporating tai chi practice into daily life, such as tai chi practice at a fixed time every day or every week, which not only helps to improve the sleep disorders of older adults, but also improves their overall quality of life.
Collapse
Affiliation(s)
- Lujia Li
- School of Physical Education and Exercise, Beijing Normal University, Beijing 100875, China
| | - Xiaozheng Li
- Department of Psychiatric, Tianjin Anding Hospital, No. 13 Liulin Road, Hexi District, China
| | - Yuerong Huang
- School of Physical Education and Exercise, Beijing Normal University, Beijing 100875, China
| | - Haojie Li
- School of Physical Education and Exercise, Beijing Normal University, Beijing 100875, China
| | - Cuihan Li
- School of Physical Education and Exercise, Beijing Normal University, Beijing 100875, China
| | - Yuxin Ma
- School of Physical Education and Exercise, Beijing Normal University, Beijing 100875, China
| | - Jianwei Zhang
- School of Physical Education and Exercise, Beijing Normal University, Beijing 100875, China
| | - Fang Peng
- Leisure and Health Teaching and Research Department, Department of Physical Education, Hainan Medical College, China
| | - Shaojun Lyu
- School of Physical Education and Exercise, Beijing Normal University, Beijing 100875, China
| |
Collapse
|
15
|
Frohnhofen H, Stenmanns C, Gronewold J, Mayer G. [Frailty phenotype and risk factor for disturbed sleep]. Z Gerontol Geriatr 2023; 56:551-555. [PMID: 37438643 DOI: 10.1007/s00391-023-02219-7] [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: 06/08/2023] [Accepted: 06/28/2023] [Indexed: 07/14/2023]
Abstract
Regardless of the nature of its operationalization, frailty has significant negative consequences for the person concerned and the community. Even if a generally accepted definition of frailty is still missing, there is no doubt about the existence of this phenomenon. Pathophysiologically, a dysfunctional interaction between multiple complex systems is discussed. Therapeutic interventions show that frailty is a dynamic state that can be improved. The pathophysiological characteristics of frailty and sleep disturbances show numerous similarities. In addition, the risk of frailty is increased in individuals with sleep disturbances. As the majority of sleep disorders can usually be well treated, screening for sleep disorders should be integrated into a comprehensive concept of management of frailty.
Collapse
Affiliation(s)
- Helmut Frohnhofen
- Klinik für Orthopädie und Unfallchirurgie, Heinrich Heine Universität Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Deutschland.
| | - Carla Stenmanns
- Klinik für Orthopädie und Unfallchirurgie, Heinrich Heine Universität Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, Deutschland
| | - Janine Gronewold
- Klinik für Neurologie, Universitätsklinikum Essen, Hufelandstr. 55, 45147, Essen, Deutschland
| | - Geert Mayer
- Klinik für Neurologie, Phillips Universität Marburg, Baldingerstr. 1, 35043, Marburg, Deutschland
| |
Collapse
|