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Edmealem A, Tegegne B, Alem G, Zeleke H, Ayenew T, Ayenew S, Sisay Gebeyew A, Tomiso B, Getahun A, Wondie T, Liknaw T. Sleep quality among patients with chronic illness in Ethiopia: systematic review and meta-analysis. Front Psychiatry 2024; 15:1365463. [PMID: 38881551 PMCID: PMC11177758 DOI: 10.3389/fpsyt.2024.1365463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Accepted: 05/16/2024] [Indexed: 06/18/2024] Open
Abstract
Background Poor sleep quality impedes the progression of chronic illnesses, while chronic illnesses themselves are caused by poor sleep quality. Despite this fact, there is no research that has been conducted in Ethiopia that provides a thorough estimate of the self-reported sleep quality among patients with chronic illnesses. In order to present a complete picture of poor sleep quality among diabetes, hypertension, heart failure, cancer, HIV/AIDS and epilepsy patients, this systematic review and meta-analysis was carried out. Methods Systematic review and meta-analysis was conducted to estimate the quality of sleep among patients with chronic illness in Ethiopia. The Preferred Reporting Items for Systematic Review and Meta Analysis standard was followed in the reporting of this systematic review and meta-analysis. An extensive exploration of digital repositories, including PubMed, EMBASE, Cochrane, Africa Journal of Online, Google Scholar, and an advanced Google search, was conducted to obtain published studies until December 1st, 2023 detailing poor sleep quality of patients with chronic illness. STATA version 17 commands were used to create the pooled estimate. The I2 test and Egger's test, respectively, were used to identify the presence of heterogeneity and publication bias. To manage heterogeneity, a subgroup analysis and random effect model were used. Results A total 21 articles with a total of 7393 participants were included in the final systematic review and meta-analysis. The pooled estimate of poor sleep quality among patients with chronic illness was 52% (95% of CI: 48%, 59%; I2 = 97.26%). In subgroup analysis, the highest pooled estimate of poor sleep quality was observed in cancer patients 63% (95% CI: (95% CI: 45% - 80%). Regarding to data collection period, the highest pooled estimate of poor sleep quality was seen during spring 68% (95% CI: 42% - 94%). Conclusions Patients with chronic illnesses in Ethiopia had a high pooled estimate of poor sleep quality. Patients with cancer had the highest pooled estimate of poor-quality sleep compared with other patients. Patients with chronic illnesses had trouble sleeping in the spring, according to this systematic review and meta-analysis. Therefore, attention and intervention should be given to enhance the quality of sleep for patients with chronic illnesses.
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Affiliation(s)
- Afework Edmealem
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Belachew Tegegne
- Department of Nursing, College of Medicine and Health Science, Injibara University, Injibara, Ethiopia
| | - Girma Alem
- Department of Health Informatics, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Haymanot Zeleke
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Temesgen Ayenew
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Setarg Ayenew
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Ayenew Sisay Gebeyew
- Department of Health Informatics, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Bereket Tomiso
- Department of Public Health, Tropical College of Medicine, Debre Markos, Ethiopia
| | | | - Tirusew Wondie
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
| | - Tiliksew Liknaw
- Department of Nursing, College of Medicine and Health Science, Debre Markos University, Debre Markos, Ethiopia
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Gela YY, Limenh LW, Simegn W, Ayenew W, Chanie GS, Seid AM, Beyna AT, Esubalew D, Mitku ML, Mengesha AK, Melese M. Poor sleep quality and associated factors among adult chronic kidney disease patients. Front Med (Lausanne) 2024; 11:1366010. [PMID: 38751978 PMCID: PMC11094326 DOI: 10.3389/fmed.2024.1366010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 04/11/2024] [Indexed: 05/18/2024] Open
Abstract
Background Poor sleep quality is a common concern in chronic kidney disease (CKD) patients, which can accelerate the progression of chronic renal disease and negatively impact their health-related quality of life, potentially leading to greater morbidity and mortality rates. It can also have an effect on the immune system, cognitive function, and emotional well-being of CKD patients. Furthermore, poor sleep quality may contribute to drug noncompliance and decreased participation in the entire treatment plan. Nonetheless, no research has been undertaken in Ethiopia on the prevalence of poor sleep quality and its associated factors among CKD patients. Objective This study aimed to assess the prevalence of poor quality of sleep and associated factors among chronic kidney disease patients at the University of Gondar Comprehensive Specialized and Felege Hiwot Referral Hospitals in 2020. Methods A cross-sectional study design was implemented at the University of Gondar Comprehensive Specialized and Felege Hiwot Referral Hospitals between February and April 2020. The study participants were chosen through systematic random sampling techniques. The Pittsburgh Sleep Quality Index (PSQI), a validated assessment tool, was utilized to measure sleep quality. A PSQI total score > 5 was used as an indicator of poor sleep quality. Subsequently, the data obtained were entered into Epi Data version 3.0 and then transferred to STATA 14 for analysis. Both bivariable and multivariable binary logistic regression analyses were performed to recognize factors associated with poor sleep quality. In the multivariable logistic regression analysis, variables demonstrating a p-value of ≤0.05 were considered statistically associated to poor sleep quality. Results In this study, 424 CKD patients were included. Among screened CKD patients, 42.9% tested positive for poor sleep quality with a 95% CI (38 to 47%). Independent predictors of poor sleep quality among CKD patients were common mental disorder [AOR = 1.8, 95% CI (1.19-2.89)], anemia [AOR = 2.7, 95% CI (1.71-4.36)], declined eGFR between 60 and 89.9 [AOR = 1.6; 95% CI (2.28-5.54)], 30-59.9 [AOR = 2.6, 95% CI (1.53-4.43)], and ≤ 30 [AOR = 3.8, 95% CI (1.17-12.61)], age > 50 years [AOR = 1.7(1.11-2.69)] and duration of disease 2.9 [AOR = 2.9, 95% CI (1.77-4.90)]. Conclusion In our study, almost 1 out of 2 CKD patients assessed for poor sleep quality tested positive. It was noted that poor sleep quality was more frequent among CKD patients with common mental disorders, anemia, decreased eGFR levels, individuals aged over 50 years, and those with a longer duration of the disease. Consequently, it's advised to regularly screen these CKD patients for poor sleep quality.
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Affiliation(s)
- Yibeltal Yismaw Gela
- Department of Physiology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Liknaw Workie Limenh
- Department of Pharmaceutics, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Wudneh Simegn
- Department of Social and Administrative Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Wondim Ayenew
- Department of Social and Administrative Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Gashaw Sisay Chanie
- Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Abdulwase Mohammed Seid
- Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Alemante Tafese Beyna
- Department of Pharmacology, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Dereje Esubalew
- Department of Human Physiology, College of Medicine and Health Sciences, Ambo University, Ambo, Ethiopia
| | - Melese Legesse Mitku
- Department of Pharmaceutical Chemistry, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Assefa Kebad Mengesha
- Department of Pharmacology, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Mihret Melese
- Department of Physiology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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Wang X, Wang R, Zhang D. Bidirectional associations between sleep quality/duration and multimorbidity in middle-aged and older people Chinese adults: a longitudinal study. BMC Public Health 2024; 24:708. [PMID: 38443848 PMCID: PMC10916205 DOI: 10.1186/s12889-024-17954-8] [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: 07/16/2023] [Accepted: 02/01/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Multimorbidity and sleep disorder possess high incidence rates in the middle-aged and older people populations, posing a significant threat to quality of life and physical and mental health. However, investigators have previously only analysed the unidirectional association between sleep status and multimorbidity. We aimed to investigate bidirectional associations between sleep quality or duration and multimorbidity in middle-aged and older Chinese adults from a longitudinal perspective. METHOD We enrolled a total of 9823 participants 45 years and older from the China Health and Retirement Longitudinal Study from 2015 to 2018 in our study. Multimorbidity was defined as two or more coexisting chronic diseases in the same individual based on 14 self-reported disease questions. Sleep quality was classified as "good" (restless < 1 day per week) and "poor" (restless ≥ 1 days per week); and sleep duration was divided into short (< 6 h), medium (6-9 h), and long (> 9 h). The bidirectional association between multimorbidity and sleep condition was examined using multivariate logistic regression models with adjustments for covariates. RESULTS Individuals with poor sleep quality showed a significantly higher prevalence of multimorbidity in the future. The adjusted OR (95% CI) values of individuals with poor sleep quality with respect to developing two diseases, three diseases, and ≥ 4 diseases were 1.39 (1.19, 1.63), 1.56 (1.23, 2.03), and 2.36 (1.68, 3.33), respectively. In addition, individuals with multimorbidity exhibited a significantly higher risk of poor sleep quality in the future. Short sleep duration led to multimorbidity in the future (OR = 1.49; 95 CI%, 1.37-1.63), while multimorbidity contributed to short sleep duration (< 6 h) in the future (OR = 1.39; 95% CI, 1.27-1.51) after full adjustment. CONCLUSIONS There was a bidirectional association between sleep quality or short sleep duration and multimorbidity in middle-aged and older Chinese adults. We recommend that greater attention be given to clinical management among adults with sleep disorders or physical multimorbidities.
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Affiliation(s)
- Xiaoran Wang
- Institute of Hospital Management/Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
| | - Rui Wang
- School of Nursing, Fudan University, Shanghai, China
| | - Dan Zhang
- Institute of Hospital Management/Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
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Sun N, Ni Y, Deng Y, Qi J, Yu Z, Wu C, He J, Wu Y. The association between passive smoking and sleep quality in a Chinese hypertensive population: A cross-sectional study. Tob Induc Dis 2024; 22:TID-22-30. [PMID: 38314377 PMCID: PMC10835764 DOI: 10.18332/tid/176929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/11/2023] [Accepted: 12/14/2023] [Indexed: 02/06/2024] Open
Abstract
INTRODUCTION This study evaluates the association between passive smoking, specifically secondhand smoke (SHS) and thirdhand smoke (THS) exposure, and sleep quality in a hypertensive population. METHODS We enrolled 1427 eligible hypertensive patients from a 2022 national cross-sectional survey in China. Data on tobacco smoke exposure and sleep were collected via questionnaires. Multiple logistic regression and linear regression were employed to assess the relationship between passive smoking and sleep quality characteristics, as well as the correlation between passive smoking exposure characteristics and sleep quality. RESULTS Among 589 hypertensive patients with no tobacco smoke exposure, 679 exposed to SHS, and 159 exposed to THS, SHS exposure was associated with a higher risk of poor sleep quality, even after adjusting for potential confounding factors (β=0.10; 95% CI: 0.32-0.95). No significant relationship was observed between THS exposure and sleep quality. SHS exposure was associated with various sleep quality characteristics, including shorter sleep duration (AOR=1.71; 95% CI: 1.06-2.76) and increased frequency of 1-2 sleep disturbances per week (AOR=1.68; 95% CI: 1.25-2.26). Individuals exposed to SHS were more likely to experience poorer subjective sleep quality (AOR=1.53; 95% CI: 1.07-2.21) and have sleep efficiency <65% (AOR=1.82; 95% CI: 1.22-2.71). Exposure to passive smoking at home, in the community, in public places, exposure to passive smoking with family and friends, and increased frequency of exposure, were all associated with a higher risk of poor sleep quality. CONCLUSIONS Our study suggests that SHS exposure in hypertensive populations is associated with poor sleep quality and various characteristics of sleep quality. No significant association was found between THS exposure and sleep quality. These findings underscore the need to enhance tobacco control efforts in China, particularly for individuals with chronic diseases, to safeguard public health.
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Affiliation(s)
- Niuniu Sun
- School of Nursing, Henan University of Science and Technology, Luoyang, China
| | - Yang Ni
- School of Nursing, Henan University of Science and Technology, Luoyang, China
| | - Yuqian Deng
- Xiangya School of Nursing, Central South University, Changsha, China
| | - Jiale Qi
- School of Journalism and Communication, Zhengzhou University, Zhengzhou, China
| | - Zhenjie Yu
- School of Nursing, Tianjin Medical University, Tianjin, China
| | - Chang Wu
- School of Nursing, Henan University of Science and Technology, Luoyang, China
| | - Juan He
- School of Nursing, Henan University of Science and Technology, Luoyang, China
| | - Yibo Wu
- School of Nursing, Henan University of Science and Technology, Luoyang, China
- School of Public Health, Peking University, Beijing, China
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Oliveira JL, Marques-Vidal P. Sweet dreams are not made of this: no association between diet and sleep quality. J Clin Sleep Med 2023; 19:2005-2014. [PMID: 37489534 PMCID: PMC10692931 DOI: 10.5664/jcsm.10738] [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: 03/10/2023] [Revised: 07/21/2023] [Accepted: 07/21/2023] [Indexed: 07/26/2023]
Abstract
STUDY OBJECTIVES Numerous studies have emphasized the significance of nutrition on the quality of sleep, but few have evaluated the effect of various coexisting dietary markers on middle-aged adults. We assessed the association between sleep quality and a large array of dietary markers among middle-aged, community-dwelling participants. METHODS Data from the first, second, and third follow-ups of CoLaus|PsyCoLaus, a population-based study in Lausanne, Switzerland, was used. Sleep quality was assessed by the Pittsburgh Sleep Quality Index. Dietary intake was assessed by a validated food frequency questionnaire. RESULTS Data from 3857 (53% women, 57.2 ± 10.4 years), 2370 (52% women, 60.7 ± 9.5 years), and 1617 (52% women, 63.5 ± 9.0 years) participants from the first, second, and third follow-ups was used. Bivariate correlations showed fish, vegetables, fruit, and cheese intake to be associated with a better sleep quality (lower Pittsburgh Sleep Quality Index), while rusks, sugar, and meat intake were associated with a poorer sleep quality (higher Pittsburgh Sleep Quality Index). After multivariable adjustment, participants reporting poor sleep quality (Pittsburgh Sleep Quality Index > 5) had a lower Mediterranean diet score and a lower likelihood of complying with the meat and fish recommendations, but the results were inconsistent between surveys. No association was found between sleep quality and macro- or micronutrients in the three surveys. CONCLUSIONS No consistent associations were found between a large panel of nutritional markers and sleep quality. Components of the Mediterranean diet such as dairy, fruits, and vegetables might favor good sleep quality, while increased consumption of sugary foods or meat might favor poor sleep quality. CITATION Oliveira JL, Marques-Vidal P. Sweet dreams are not made of this: no association between diet and sleep quality. J Clin Sleep Med. 2023;19(12):2005-2014.
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Affiliation(s)
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
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Lima RJCP, Batalha MA, Ribeiro CCC, Lima PM, da Silva AAM, Batista RFL. Modifiable behavioral risk factors for NCDs and sleep in Brazilian adolescents. Rev Saude Publica 2023; 57:60. [PMID: 37878846 PMCID: PMC10519685 DOI: 10.11606/s1518-8787.2023057004957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 11/09/2022] [Indexed: 10/27/2023] Open
Abstract
OBJECTIVE To analyze the association between modifiable behavioral risk factors for non-communicable diseases and sleep parameters in Brazilian adolescents. METHODS This was a cross-sectional study that used data from the RPS Cohort Consortium, São Luís, Brazil for the follow-up of adolescents aged 18-19 years (n = 2,515). The outcomes were excessive daytime sleepiness (Epworth Sleepiness Scale - ESS) and sleep quality (Pittsburgh Sleep Quality Index - PSQI). The exposures of interest were the behavioral risk factors for non-communicable diseases (NCDs): screen time, physical inactivity, alcohol, smoking, illicit drugs, caffeine intake, and consumption of sugar-sweetened beverages. Excess weight was considered a possible mediator of this association between the exposures of interest and the outcomes. The models were analyzed by modeling with structural equations. RESULTS Physical inactivity (standardized coefficient, SC = 0.112; p = 0.001), higher consumption of alcohol (SC = 0.168; p = 0.019) and of sugar-sweetened beverages (SC = 0.128; p < 0.001) were associated with excessive daytime sleepiness in adolescents; better socioeconomic status was also associated with this outcome (SC = 0.128; p < 0.001). Physical inactivity (SC = 0.147; p < 0.001) and higher consumption of sugar-sweetened beverages (SC = 0.089; p = 0.003) were also associated with poor sleep quality. Overweight was neither a mediator nor associated with sleep quality or excessive daytime sleepiness. CONCLUSIONS The main modifiable behavioral risk factors for NCDs are associated with worse sleep parameters already in adolescence, which serves as a warning toward the accumulation of risks for sleep disorders in the future.
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Affiliation(s)
- Raina Jansen Cutrim Propp Lima
- Instituto Federal de Educação. Ciência e Tecnologia do MaranhãoDepartamento de EnsinoAçailândiaMABrasil Instituto Federal de Educação. Ciência e Tecnologia do Maranhão. Departamento de Ensino. Açailândia, MA, Brasil
| | - Mônica Araujo Batalha
- Universidade Federal do MaranhãoCentro de Ciências Biológicas e da SaúdeDepartamento de Saúde PúblicaSão LuísMABrasil Universidade Federal do Maranhão. Centro de Ciências Biológicas e da Saúde. Departamento de Saúde Pública. São Luís, MA, Brasil
| | - Cecília Cláudia Costa Ribeiro
- Universidade Federal do MaranhãoCentro de Ciências Biológicas e da SaúdeDepartamento de Odontologia IISão LuísMABrasil Universidade Federal do Maranhão. Centro de Ciências Biológicas e da Saúde. Departamento de Odontologia II. São Luís, MA, Brasil
| | - Pedro Martins Lima
- Universidade Federal do MaranhãoCentro de Ciências Sociais, Saúde e TecnologiaImperatrizMABrasil Universidade Federal do Maranhão. Centro de Ciências Sociais, Saúde e Tecnologia. Imperatriz, MA, Brasil
| | - Antônio Augusto Moura da Silva
- Universidade Federal do MaranhãoCentro de Ciências Biológicas e da SaúdeDepartamento de Saúde PúblicaSão LuísMABrasil Universidade Federal do Maranhão. Centro de Ciências Biológicas e da Saúde. Departamento de Saúde Pública. São Luís, MA, Brasil
| | - Rosângela Fernandes Lucena Batista
- Universidade Federal do MaranhãoCentro de Ciências Biológicas e da SaúdeDepartamento de Saúde PúblicaSão LuísMABrasil Universidade Federal do Maranhão. Centro de Ciências Biológicas e da Saúde. Departamento de Saúde Pública. São Luís, MA, Brasil
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Chen J, Chen X, Mao R, Fu Y, Chen Q, Zhang C, Zheng K. Hypertension, sleep quality, depression, and cognitive function in elderly: A cross-sectional study. Front Aging Neurosci 2023; 15:1051298. [PMID: 36824262 PMCID: PMC9942596 DOI: 10.3389/fnagi.2023.1051298] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 01/16/2023] [Indexed: 02/10/2023] Open
Abstract
Background Hypertension, sleep disorders, and depression are highly prevalent in the elderly population and are all associated with cognitive impairment, but the role that sleep quality and depression play in the association between hypertension and cognitive impairment is unclear. The aim of this study was to investigate whether sleep quality and depression have a mediating role in the association between hypertension and cognitive impairment. Methods A cross-sectional study was conducted to collect data from the Tongji Hospital Comprehensive Geriatric Assessment Database. Sleep quality, depression and cognitive function were measured by the Pittsburgh Sleep Quality Index (PSQI), the Geriatric Depression Scale (GDS-15) and the Mini-Mental State Examination (MMSE), respectively. Correlation analysis, regression analysis and Bootstrap analysis were used to examine correlations between key variables and mediating effects of sleep quality and depression. Adjustments for multiple comparisons were performed using Benjamini-Hochberg adjustment for multiple testing. Results A total of 827 participants were included, hypertension was present in 68.3% of the sample. After correcting for covariates, hypertensive patients aged 65 years or older had worse cognitive function, poorer-sleep quality and higher levels of depression. Sleep quality was significantly negatively associated with depression and cognitive function, while depression was negatively associated with cognitive function. Mediation analysis revealed that hypertension can affect cognitive function in older adults through a single mediating effect of sleep quality and depression and a chain mediating effect of sleep quality and depression. Conclusion This study found that sleep quality and depression can mediate the relationship between hypertension and cognitive function in elderly. Enhanced supervision of sleep quality and depression in elderly patients with hypertension may be beneficial in maintaining cognitive function.
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Affiliation(s)
- Jiajie Chen
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xi Chen
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruxue Mao
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Fu
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qin Chen
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Yuan Y, Heizhati M, Wang L, Li M, Lin M, Gan L, Cai X, Yang W, Yao L, Wang Z, Abudereyimu R, Li N. Poor sleep quality is associated with new-onset hypertension in a diverse young and middle-aged population. Sleep Med 2021; 88:189-196. [PMID: 34781033 DOI: 10.1016/j.sleep.2021.10.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Revised: 09/23/2021] [Accepted: 10/13/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Sleep disorders have been proposed as the potential risk factors for hypertension, thus we aimed to investigate the association of sleep quality with new-onset hypertension. METHODS We evaluated sleep quality using Pittsburgh Sleep Quality Index (PSQI) and it's seven components in normotensive population aged 18 years old and over in Emin Xinjiang, China in 2016 and followed up till 2019 using annual health checkup data. Poor sleep quality was defined as a PSQI score>5, and good sleep quality was defined as a PSQI score⩽5. RESULTS Among 9344 analytic sample 57.29% were female. A total of 2958 (31.66%) subjects developed hypertension during 22,960 person-years of follow-up. Poor sleep quality (HR 1.131, 95% CI 1.045, 1.224) showed had higher risk of development hypertension in total population in adjusted Cox models. Fairly bad subjective sleep quality (HR 1.148, 95% CI 1.015, 1.298), habitual sleep efficiency of <65%-75% group (HR 1.174, 95% CI 1.026, 1.344), and mild (HR 1.194, 95% CI 1.098, 1.299) and moderate (HR 1.264, 95% CI 1.080, 1.479) sleep disturbance increased the risk of developing hypertension compared to their counterparts. In age stratification, poor sleep quality (HR 1.100, 95% CI 1.007, 1.202) had higher risk of developing hypertension in the young and middle-aged population after adjusted all covariates. CONCLUSIONS Poor sleep quality is associated with higher risk of new-onset hypertension in young and middle-aged population.
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Affiliation(s)
- Yujuan Yuan
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China
| | - Mulalibieke Heizhati
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China
| | - Lin Wang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China
| | - Mei Li
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China
| | - Mengyue Lin
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China
| | - Lin Gan
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China
| | - Xintian Cai
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China
| | - Wenbo Yang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China
| | - Ling Yao
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China
| | - Zhongrong Wang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China
| | - Reyila Abudereyimu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China
| | - Nanfang Li
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, National Health Committee Key Laboratory of Hypertension Clinical Research, Xinjiang, China.
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Maity K, Nagarathna R, Anand A, Patil SS, Singh A, Rajesh SK, Ramesh L, Sridhar P, Thakur UK, Nagendra HR. Sleep Disorders in Individuals With High Risk for Diabetes in Indian Population. Ann Neurosci 2020; 27:183-189. [PMID: 34556958 PMCID: PMC8455005 DOI: 10.1177/0972753121998470] [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: 10/03/2020] [Accepted: 10/07/2020] [Indexed: 11/17/2022] Open
Abstract
Background: Sleep restores physiology and neurochemical components of our body and is essential for physical and mental health. Sleep disorders (SDs) are associated with insulin resistance and metabolic disorders. The association between SDs and diabetes needs to be understood in the Indian population. Purpose: The purpose was to investigate the association between SD and diabetes in the Indian population. Methods: As a part of nationwide Niyantrita Madhumeha Bharata Abhiyaan-2017 (NMB-2017), a cross-sectional study was conducted and data was collected from seven zones of India, after screening through the Indian Diabetes Risk Score (IDRS). The sleep quality was assessed on a scale of 1 to 4 (very good = 1, very bad = 4). The time taken to fall asleep (sleep latency) was assessed on a scale of 0 to 5 (“0” = nil and “5” = >1.5 h). Stress was assessed by the perceived stress scale. Results: Bad sleep quality was positively (odds ratio 1.055, CI [1.001, 1.113], and P < .01) associated with self-reported known diabetes. Increased time taken to fall in sleep (sleep latency) was associated significantly with IDRS high risk (odds ratio 1.085, CI [1.008, 1.168], and P = .01), with an average sleep latency /time takes to fall in sleep (maximum range 5 [>1.5 h], mode 2 [10 to 30 min]) minutes. Moderate stress was significantly associated with bad sleep quality (odds ratio 1.659). Conclusion: A positive association of bad sleep quality and stress with diabetes, and an increased sleep latency in the IDRS high-risk population point to the role of modifiable risk factors. Behavioral modification and stress reduction by using yoga may be beneficial in the better management of diabetes.
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Affiliation(s)
- Kalyan Maity
- Division of Yoga and Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana (S-VYASA), Bengaluru, Karnataka, India.,Department of Neurology, Neuroscience Research Lab, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Raghuram Nagarathna
- Arogyadhama, Vivekananda Yoga Anusandhana Samsthana (VYASA), Bengaluru, Karnataka, India
| | - Akshay Anand
- Department of Neurology, Neuroscience Research Lab, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.,Centre for Mind Body Medicine, PGIMER, Chandigarh, India.,Centre of Phenomenology and Cognitive Sciences, Panjab University, Chandigarh, India
| | - Suchitra S Patil
- Division of Yoga and Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana (S-VYASA), Bengaluru, Karnataka, India
| | - Amit Singh
- Division of Yoga and Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana (S-VYASA), Bengaluru, Karnataka, India
| | - S K Rajesh
- Division of Yoga and Physical Sciences, Swami Vivekananda Yoga Anusandhana Samsthana (S-VYASA), Bengaluru, Karnataka, India
| | - Latha Ramesh
- Division of Yoga and Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana (S-VYASA), Bengaluru, Karnataka, India
| | - P Sridhar
- Division of Yoga and Life Sciences, Swami Vivekananda Yoga Anusandhana Samsthana (S-VYASA), Bengaluru, Karnataka, India
| | - Uttam Kumar Thakur
- Department of General Surgery, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
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