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Wannamethee SG. Napping and Obesity in Adults - What do we Know? Curr Diab Rep 2024:10.1007/s11892-024-01551-5. [PMID: 39145893 DOI: 10.1007/s11892-024-01551-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/29/2024] [Indexed: 08/16/2024]
Abstract
PURPOSE OF REVIEW To review the evidence on the relationship between daytime napping and obesity. RECENT FINDINGS There is concern that napping may be harmful to metabolic health. Prospective studies have shown long time daytime napping (> 1 h) is associated with increased diabetes risk which may be partly associated with obesity. Evidence from numerous cross-sectional studies and meta-analyses of cross-sectional studies have shown that long time napping (> 1 h) but not short time napping is associated with increased risk of obesity, and this is seen worldwide. Inference regarding the nature of association from cross-sectional studies is limited; it is suggested the association is bidirectional. Prospective studies on the association between daytime napping and obesity are few and results unclear. Large longitudinal studies integrating daytime napping duration and night-time sleep behaviour and detailed information on lifestyle influences is needed to help elucidate further the associations of long time napping with obesity.
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Affiliation(s)
- Sasiwarang Goya Wannamethee
- Department Primary Care and Population Health, University College London, Royal Free Campus, London, NW32PF, UK.
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2
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Yang YB, Zheng YB, Sun J, Yang LL, Li J, Gong YM, Li MZ, Wen X, Zhao HY, Shi PP, Yu GH, Yu ZL, Chen Y, Yuan K, Deng JH, Li SX, Yang YF, Zhang ZH, Vitiello MV, Shi J, Wang YM, Shi L, Lu L, Bao YP. To nap or not? Evidence from a meta-analysis of cohort studies of habitual daytime napping and health outcomes. Sleep Med Rev 2024; 78:101989. [PMID: 39153335 DOI: 10.1016/j.smrv.2024.101989] [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: 12/01/2023] [Revised: 05/18/2024] [Accepted: 07/22/2024] [Indexed: 08/19/2024]
Abstract
Habitual daytime napping is a common behavioral and lifestyle practice in particular countries and is often considered part of a normal daily routine. However, recent evidence suggests that the health effects of habitual daytime napping are controversial. We systematically searched PubMed, Web of Science, Embase, and Cochrane Library databases from inception to March 9, 2024, to synthesize cohort studies of napping and health outcome risk. A total of 44 cohort studies with 1,864,274 subjects aged 20-86 years (mean age 56.4 years) were included. Overall, habitual napping increased the risk of several adverse health outcomes, including all-cause mortality, cardiovascular disease, metabolic disease, and cancer, and decreased the risk of cognitive impairment and sarcopenia. Individuals with a napping duration of 30 min or longer exhibited a higher risk of all-cause mortality, cardiovascular disease, and metabolic disease, whereas those with napping durations less than 30 min had no significant risks. No significant differences in napping and health risks were observed for napping frequency, percentage of nappers, sample size, sex, age, body mass index, follow-up years, or comorbidity status. These findings indicate that individuals with a long napping duration should consider shortening their daily nap duration to 30 min or less.
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Affiliation(s)
- Ying-Bo Yang
- The First Affiliated Hospital of Xinxiang Medical University, Henan, China
| | - Yong-Bo Zheng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China; Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Jie Sun
- Pain Medicine Center, Peking University Third Hospital, Beijing, China
| | - Lu-Lu Yang
- The First Affiliated Hospital of Xinxiang Medical University, Henan, China
| | - Jiao Li
- The First Affiliated Hospital of Xinxiang Medical University, Henan, China
| | - Yi-Miao Gong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Ming-Zhe Li
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Xin Wen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Hao-Yun Zhao
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Pei-Pei Shi
- Taiyuan Central Hospital of Shanxi Medical University, Taiyuan, China
| | - Gui-Hua Yu
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Zhou-Long Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Yu Chen
- The First Affiliated Hospital of Xinxiang Medical University, Henan, China
| | - Kai Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Jia-Hui Deng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Su-Xia Li
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Yong-Feng Yang
- The Second Affiliated Hospital of Xinxiang Medical University (Henan Mental Hospital) , China; Henan Engineering Research Center of Physical Diagnostics and Treatment Technology for the Mental and Neurological Diseases, China
| | - Zhao-Hui Zhang
- The First Affiliated Hospital of Xinxiang Medical University, Henan, China
| | - Michael V Vitiello
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Yu-Mei Wang
- Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China; Department of Psychology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China.
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China; Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China; National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China; Institute of Brain Science and Brain-inspired Research, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China.
| | - Yan-Ping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China; School of Public Health, Peking University, Beijing, China.
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Yang Y, Wen L, Shi X, Yang C, Fan J, Zhang Y, Shen G, Zhou H, Jia X. Causal effects of sleep traits on metabolic syndrome and its components: a Mendelian randomization study. Sleep Breath 2024; 28:1423-1430. [PMID: 38507120 DOI: 10.1007/s11325-024-03020-5] [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: 11/28/2023] [Revised: 02/28/2024] [Accepted: 03/04/2024] [Indexed: 03/22/2024]
Abstract
PURPOSE Previous observational studies have suggested an association between sleep disturbance and metabolic syndrome (MetS). However, it remains unclear whether this association is causal. This study aims to investigate the causal effects of sleep-related traits on MetS using Mendelian randomization (MR). METHODS Single-nucleotide polymorphisms strongly associated with daytime napping, insomnia, chronotype, short sleep, and long sleep were selected as genetic instruments from the corresponding genome-wide association studies (GWAS). Summary-level data for MetS were obtained from two independent GWAS datasets. Univariable and multivariable MR analyses were conducted to investigate and verify the causal effects of sleep traits on MetS. RESULTS The univariable MR analysis demonstrated that genetically predicted daytime napping and insomnia were associated with increased risk of MetS in both discovery dataset (OR daytime napping = 1.630, 95% CI 1.273, 2.086; OR insomnia = 1.155, 95% CI 1.108, 1.204) and replication dataset (OR daytime napping = 1.325, 95% CI 1.131, 1.551; OR insomnia = 1.072, 95% CI 1.046, 1.099). For components, daytime napping was positively associated with triglycerides (beta = 0.383, 95% CI 0.160, 0.607) and waist circumference (beta = 0.383, 95% CI 0.184, 0.583). Insomnia was positively associated with hypertension (OR = 1.101, 95% CI 1.042, 1.162) and waist circumference (beta = 0.067, 95% CI 0.031, 0.104). The multivariable MR analysis indicated that the adverse effect of daytime napping and insomnia on MetS persisted after adjusting for BMI, smoking, drinking, and another sleep trait. CONCLUSION Our study supported daytime napping and insomnia were potential causal factors for MetS characterized by central obesity, hypertension, or elevated triglycerides.
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Affiliation(s)
- Yongli Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Long Wen
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Xuezhong Shi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Chaojun Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Jingwen Fan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Yi Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Guibin Shen
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Huiping Zhou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China
| | - Xiaocan Jia
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China.
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Mednick SC. Is napping in older adults problematic or productive? The answer may lie in the reason they nap. Sleep 2024; 47:zsae056. [PMID: 38421680 PMCID: PMC11082470 DOI: 10.1093/sleep/zsae056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Indexed: 03/02/2024] Open
Affiliation(s)
- Sara C Mednick
- Irvine Department of Cognitive Sciences, University of California, Irvine, CA, USA
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Deantoni M, Reyt M, Baillet M, Dourte M, De Haan S, Lesoinne A, Vandewalle G, Maquet P, Berthomier C, Muto V, Hammad G, Schmidt C. Napping and circadian sleep-wake regulation during healthy aging. Sleep 2024; 47:zsad287. [PMID: 37943833 DOI: 10.1093/sleep/zsad287] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 09/27/2023] [Indexed: 11/12/2023] Open
Abstract
STUDY OBJECTIVES Daytime napping is frequently reported among the older population and has attracted increasing attention due to its association with multiple health conditions. Here, we tested whether napping in the aged is associated with altered circadian regulation of sleep, sleepiness, and vigilance performance. METHODS Sixty healthy older individuals (mean age: 69 years, 39 women) were recruited with respect to their napping habits (30 nappers, 30 non-nappers). All participants underwent an in-lab 40-hour multiple nap protocol (10 cycles of 80 minutes of sleep opportunity alternating with 160 minutes of wakefulness), preceded and followed by a baseline and recovery sleep period. Saliva samples for melatonin assessment, sleepiness, and vigilance performance were collected during wakefulness and electrophysiological data were recorded to derive sleep parameters during scheduled sleep opportunities. RESULTS The circadian amplitude of melatonin secretion was reduced in nappers, compared to non-nappers. Furthermore, nappers were characterized by higher sleep efficiencies and REM sleep proportion during day- compared to nighttime naps. The nap group also presented altered modulation in sleepiness and vigilance performance at specific circadian phases. DISCUSSION Our data indicate that napping is associated with an altered circadian sleep-wake propensity rhythm. They thereby contribute to the understanding of the biological correlates underlying napping and/or sleep-wake cycle fragmentation during healthy aging. Altered circadian sleep-wake promotion can lead to a less distinct allocation of sleep into nighttime and/or a reduced wakefulness drive during the day, thereby potentially triggering the need to sleep at adverse circadian phase.
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Affiliation(s)
- Michele Deantoni
- Sleep and Chronobiology Group, GIGA-CRC-In Vivo Imaging Research Unit, University of Liège, Liège, Belgium
| | - Mathilde Reyt
- Sleep and Chronobiology Group, GIGA-CRC-In Vivo Imaging Research Unit, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit (PsyNCog), Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Marion Baillet
- Sleep and Chronobiology Group, GIGA-CRC-In Vivo Imaging Research Unit, University of Liège, Liège, Belgium
| | - Marine Dourte
- Sleep and Chronobiology Group, GIGA-CRC-In Vivo Imaging Research Unit, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit (PsyNCog), Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
| | - Stella De Haan
- Sleep and Chronobiology Group, GIGA-CRC-In Vivo Imaging Research Unit, University of Liège, Liège, Belgium
| | - Alexia Lesoinne
- Sleep and Chronobiology Group, GIGA-CRC-In Vivo Imaging Research Unit, University of Liège, Liège, Belgium
| | - Gilles Vandewalle
- Sleep and Chronobiology Group, GIGA-CRC-In Vivo Imaging Research Unit, University of Liège, Liège, Belgium
| | - Pierre Maquet
- Sleep and Chronobiology Group, GIGA-CRC-In Vivo Imaging Research Unit, University of Liège, Liège, Belgium
- Department of Neurology, University Hospital of Liège, University of Liège, Liège, Belgium
| | | | - Vincenzo Muto
- Sleep and Chronobiology Group, GIGA-CRC-In Vivo Imaging Research Unit, University of Liège, Liège, Belgium
| | - Gregory Hammad
- Sleep and Chronobiology Group, GIGA-CRC-In Vivo Imaging Research Unit, University of Liège, Liège, Belgium
| | - Christina Schmidt
- Sleep and Chronobiology Group, GIGA-CRC-In Vivo Imaging Research Unit, University of Liège, Liège, Belgium
- Psychology and Neuroscience of Cognition Research Unit (PsyNCog), Faculty of Psychology and Educational Sciences, University of Liège, Liège, Belgium
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Ceolin C, Limongi F, Siviero P, Trevisan C, Noale M, Catalani F, Conti S, Di Rosa E, Perdixi E, Remelli F, Prinelli F, Maggi S. Changes in Sleep Duration and Sleep Timing in the General Population from before to during the First COVID-19 Lockdown: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:583. [PMID: 38791798 PMCID: PMC11121433 DOI: 10.3390/ijerph21050583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 04/22/2024] [Accepted: 04/26/2024] [Indexed: 05/26/2024]
Abstract
BACKGROUND The COVID-19 lockdown had a profound effect on everyday life, including sleep health. This systematic review and meta-analysis evaluated changes in quantitative sleep parameters during the first lockdown compared with pre-lockdown in the general population. METHODS A search in scientific databases was performed to identify eligible observational studies from inception to 8 February 2023. We performed a random effects meta-analysis of those studies reporting (a) means of sleep duration, time in bed (TIB), and sleep timing (bedtime and wake-up time); (b) the percentages of atypical sleep duration before and during the lockdown; (c) the percentages of change in sleep duration and sleep timing. RESULTS A total of 154 studies were included. A small increase in sleep duration (0.25 standardized mean difference, 95% CI 0.180-0.315) was found, with 55.0% of the individuals reporting changes, predominantly an increase (35.2%). The pooled relative risk for sleeping more than 8/9 h per night was 3.31 (95% IC 2.60-4.21). There was a moderately significant delay in sleep timing and a surge in napping. CONCLUSION An increase in sleep duration and napping, and delayed sleep timing were observed. High-quality studies should evaluate whether these parameters have now become chronic or have returned to pre-lockdown values.
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Affiliation(s)
- Chiara Ceolin
- Geriatric Unit, Department of Medicine (DIMED), University of Padova, 35128 Padova, Italy; (C.C.); (C.T.); (F.C.)
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, 17165 Solna, Sweden
| | - Federica Limongi
- Neuroscience Institute, Aging Branch, National Research Council, 35128 Padova, Italy; (F.L.); (M.N.); (S.M.)
| | - Paola Siviero
- Neuroscience Institute, Aging Branch, National Research Council, 35128 Padova, Italy; (F.L.); (M.N.); (S.M.)
| | - Caterina Trevisan
- Geriatric Unit, Department of Medicine (DIMED), University of Padova, 35128 Padova, Italy; (C.C.); (C.T.); (F.C.)
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, 17165 Solna, Sweden
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy;
| | - Marianna Noale
- Neuroscience Institute, Aging Branch, National Research Council, 35128 Padova, Italy; (F.L.); (M.N.); (S.M.)
| | - Filippo Catalani
- Geriatric Unit, Department of Medicine (DIMED), University of Padova, 35128 Padova, Italy; (C.C.); (C.T.); (F.C.)
| | - Silvia Conti
- Institute of Biomedical Technologies, National Research Council, 20054 Segrate, Italy; (S.C.); (F.P.)
- Neuropsychology Lab, Centre for Cognitive Disorders and Dementia IRCCS Mondino Foundation, 27100 Pavia, Italy;
| | - Elisa Di Rosa
- Department of General Psychology, University of Padua, 35131 Padova, Italy;
| | - Elena Perdixi
- Neuropsychology Lab, Centre for Cognitive Disorders and Dementia IRCCS Mondino Foundation, 27100 Pavia, Italy;
- Department of Neurology, IRCCS Humanitas Research Hospital, 20089 Milan, Italy
| | - Francesca Remelli
- Department of Medical Sciences, University of Ferrara, 44121 Ferrara, Italy;
| | - Federica Prinelli
- Institute of Biomedical Technologies, National Research Council, 20054 Segrate, Italy; (S.C.); (F.P.)
| | - Stefania Maggi
- Neuroscience Institute, Aging Branch, National Research Council, 35128 Padova, Italy; (F.L.); (M.N.); (S.M.)
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Maroto-Rodriguez J, Delgado-Velandia M, Ortolá R, Perez-Cornago A, Kales SN, Rodríguez-Artalejo F, Sotos-Prieto M. Association of a Mediterranean Lifestyle With All-Cause and Cause-Specific Mortality: A Prospective Study from the UK Biobank. Mayo Clin Proc 2024; 99:551-563. [PMID: 37589638 DOI: 10.1016/j.mayocp.2023.05.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 05/12/2023] [Accepted: 05/31/2023] [Indexed: 08/18/2023]
Abstract
OBJECTIVE To examine the association between the Mediterranean lifestyle and all-cause, cancer, and cardiovascular disease (CVD) mortality in a British population. PATIENTS AND METHODS We studied 110,799 individuals 40 to 75 years of age from the UK Biobank cohort, free of CVD or cancer between 2009 and 2012 who were followed-up to 2021. The Mediterranean lifestyle was assessed at baseline through the Mediterranean Lifestyle (MEDLIFE) index, derived from the lifestyle questionnaire and diet assessments and comprising three blocks: (1) "Mediterranean food consumption," (2) "Mediterranean dietary habits," and (3) "physical activity, rest, social habits, and conviviality." Death information was retrieved from death register records. Cox regression models were used to analyze the study associations. RESULTS During a median 9.4-year follow-up, 4247 total deaths, 2401 cancer deaths, and 731 CVD deaths were identified. Compared with the first quartile of the MEDLIFE index, increasing quartiles had HRs of 0.89 (95% CI, 0.81 to 0.97), 0.81 (95% CI, 0.74 to 0.89), and 0.71 (95% CI, 0.65 to 0.78) (P-trend<.001 for all-cause mortality). For cancer mortality, the quartiles had HRs of 0.90 (95% CI, 0.80 to 1.01), 0.83 (95% CI, 0.74 to 0.93), and 0.72 (95% CI, 0.64 to 0.82) (P-trend<.001). All MEDLIFE index blocks were independently associated with lower risk of all-cause and cancer death, and block 3 was associated with lower CVD mortality. CONCLUSION Higher adherence to the Mediterranean lifestyle was associated with lower all-cause and cancer mortality in British middle-aged and older adults in a dose-response manner. Adopting a Mediterranean lifestyle adapted to the local characteristics of non-Mediterranean populations may be possible and part of a healthy lifestyle.
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Affiliation(s)
- Javier Maroto-Rodriguez
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
| | - Mario Delgado-Velandia
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - Rosario Ortolá
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Stefanos N Kales
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Fernando Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain; IMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain
| | - Mercedes Sotos-Prieto
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain; CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; IMDEA-Food Institute, CEI UAM+CSIC, Madrid, Spain.
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Diao T, Liu K, Lyu J, Zhou L, Yuan Y, Yang H, Wu T, Zhang X. Changes in Sleep Patterns, Genetic Susceptibility, and Incident Cardiovascular Disease in China. JAMA Netw Open 2024; 7:e247974. [PMID: 38652473 DOI: 10.1001/jamanetworkopen.2024.7974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/25/2024] Open
Abstract
Importance The associations of changes in sleep patterns with incident cardiovascular disease (CVD) are not fully elucidated, and whether these associations are modified by genetic susceptibility remains unknown. Objectives To investigate the associations of 5-year changes in sleep patterns with incident CVD and whether genetic susceptibility modifies these associations. Design, Setting, and Participants This prospective cohort study of the Dongfeng-Tongji cohort was conducted from 2008 to 2018 in China. Eligible participants included those with complete sleep information at baseline survey (2008-2010) and the first follow-up survey (2013); participants who had no CVD or cancer in 2013 were prospectively assessed until 2018. Statistical analysis was performed in November 2023. Exposures Five-year changes in sleep patterns (determined by bedtime, sleep duration, sleep quality, and midday napping) between 2008 and 2013, and polygenic risk scores (PRS) for coronary heart disease (CHD) and stroke. Main Outcomes and Measures Incident CVD, CHD, and stroke were identified from 2013 to 2018. Cox proportional hazards regression models were applied to estimate hazard ratios (HRs) and 95% CIs. Results Among 15 306 individuals (mean [SD] age, 65.8 [7.4] years; 8858 [57.9%] female and 6448 male [42.1%]), 5474 (35.78%) had persistent unfavorable sleep patterns and 3946 (25.8%) had persistent favorable sleep patterns. A total of 3669 incident CVD cases were documented, including 2986 CHD cases and 683 stroke cases, over a mean (SD) follow-up of 4.9 (1.5) years. Compared with those with persistent unfavorable sleep patterns, individuals with persistent favorable sleep patterns over 5 years had lower risks of incident CVD (HR, 0.80; 95% CI, 0.73-0.87), CHD (HR, 0.84; 95% CI, 0.76-0.92), and stroke (HR, 0.66; 95% CI, 0.54-0.82) in the subsequent 5-year period. No significant effect modification by PRS was observed for sleep pattern change and CHD or stroke risk. However, sleep pattern changes and PRS were jointly associated with the CHD and stroke risk in a dose-dependent manner, with the lowest risk being among those with persistent favorable sleep patterns combined with low PRS (HR for CHD, 0.65; 95% CI, 0.52-0.82 and HR for stroke, 0.48; 95% CI, 0.29-0.79). Conclusions and Relevance In this cohort study of middle-aged and older Chinese adults, individuals with persistent favorable sleep patterns had a lower CVD risk, even among those with higher genetic risk. These findings highlight the importance of maintaining favorable sleep patterns for CVD prevention.
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Affiliation(s)
- Tingyue Diao
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kang Liu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Junrui Lyu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lue Zhou
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Yuan
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Handong Yang
- Department of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Li Q, Shan Y, Liao J, Wang L, Wei Y, Dai L, Kan S, Shi J, Huang X, Lu G. Association of daytime napping with incidence of chronic kidney disease and end-stage kidney disease: A prospective observational study. PLoS One 2024; 19:e0298375. [PMID: 38512875 PMCID: PMC10956792 DOI: 10.1371/journal.pone.0298375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 01/24/2024] [Indexed: 03/23/2024] Open
Abstract
BACKGROUND AND AIMS Few studies have examined the relationship between daytime napping and risk of kidney diseases. We aimed to investigate the association of daytime napping with the incidence of chronic kidney disease (CKD) and end-stage kidney disease (ESKD). We also examined whether sleep duration modified the association of nap with CKD or ESKD. METHODS We recruited 460,571 European middle- to older-aged adults without prior CKD or ESKD between March 13, 2006, and October 1, 2010, in the UK Biobank. Sleep behavior data were obtained through questionnaires administered during recruitment. The analysis of the relationship between napping and the occurrence of CKD and ESKD utilized Cox proportional hazards regression models. The modification role of sleep duration on the effect of nap on CKD and ESKD was also examined. RESULTS After a mean follow-up of 11.1 (standard deviation 2.2) years, we observed 28,330 incident CKD cases and 927 ESKD cases. The daytime napping was associated with incident CKD (P for trend = .004). After fully adjusted, when compared with participants who did not take nap, those in sometimes and usually nap groups had higher risk of CKD. Nevertheless, the available evidence did not support a link between daytime napping and ESKD (P for trend = .06). Simultaneously, there was insufficient evidence suggesting that sleeping duration modified the association of daytime napping with incident CKD or ESKD. CONCLUSION Daytime napping was associated with an increased risk of CKD. However, the absence of conclusive evidence did not indicate a connection between daytime napping and ESKD.
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Affiliation(s)
- Qinjun Li
- Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Department of Nephrology, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Ying Shan
- Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Renal Division, Department of Clinical Research Academy, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Jingchi Liao
- Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Ling Wang
- Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Department of Nephrology, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Yanling Wei
- Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Renal Division, Department of Clinical Research Academy, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Liang Dai
- Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Renal Division, Department of Clinical Research Academy, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Sen Kan
- Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Department of Nephrology, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Jianqing Shi
- Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, Guangdong, China
- Department of Statistics and Data Science, National Center for Applied Mathematics, Shenzhen, Guangdong, China
| | - Xiaoyan Huang
- Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
- Renal Division, Department of Clinical Research Academy, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Guoyuan Lu
- Department of Nephrology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
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Yuan J, Wang J, Chen Y, Zhang M, Zhao A, Du J, Zhang J, Liu F, Wang Y, Chen P, Zhu B. The relationship between daytime napping and glycemic control in people with type 2 diabetes. Front Endocrinol (Lausanne) 2024; 15:1361906. [PMID: 38505745 PMCID: PMC10948433 DOI: 10.3389/fendo.2024.1361906] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 02/19/2024] [Indexed: 03/21/2024] Open
Abstract
Aim To examine the association between napping characteristics and glycemic control in people with type 2 diabetes. Design This study used a cross-sectional design. Methods A convenience sample of people with type 2 diabetes (N=226) were included. Glycemic control was indicated by HbA1c which was measured by A1C Now®+. Napping characteristics including napping frequency, duration, timing, and type were measured by validated questionnaires. Other variables, such as insomnia, cognitive impairment, and depression were measured by the Insomnia Severity Index, Montreal Cognitive Assessment, and Patient Health Questionnaire-9, respectively. Multivariate linear regression analyses were performed. Results The sample consisted of 122 women (54.0%), with a median age of 67 years. Their median HbA1c was 6.8%. No significant relationship was found between napping frequency and HbA1c. Among nappers, after controlling for covariates, long napping duration (≥60 min) and morning napping were both associated with poorer glycemic control. Compared with appetitive napping, restorative napping was associated with better glycemic control. Conclusion Daytime napping (e.g., duration and type) is an important modifiable factor for glycemic control in people with type 2 diabetes. This study provides new insights into the relationship between napping and glucose management among people with diabetes.
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Affiliation(s)
- Jinjin Yuan
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Jinle Wang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Yingdan Chen
- Department of Nursing, Lujiazui Community Health Service Center, Shanghai, China
| | - Min Zhang
- Department of Nursing, Beixinjing Community Health Service Center, Shanghai, China
| | - Aimei Zhao
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
- Department of Nursing, The Second People’s Hospital of Kashgar Region, Xinjiang, China
| | - Jing Du
- Department of Psychiatry, Tongji University Affiliated Tongji Hospital, Shanghai, China
| | - Jiahui Zhang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Fan Liu
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Yueying Wang
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Pei Chen
- College of Nursing, University of Illinois Chicago, Chicago, IL, United States
| | - Bingqian Zhu
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
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11
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Zhang Y, Li X, Zheng J, Miao Y, Tan J, Zhang Q. Association of daytime napping and nighttime sleep with all-cause mortality: A prospective cohort study of China Health and Retirement Longitudinal Study. Sleep Med 2024; 115:14-20. [PMID: 38301491 DOI: 10.1016/j.sleep.2023.11.018] [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: 09/25/2023] [Revised: 11/07/2023] [Accepted: 11/08/2023] [Indexed: 02/03/2024]
Abstract
STUDY OBJECTIVES The correlation of daytime napping and nighttime sleep duration on mortality was inconsistent. We aimed to explore their separate links to all-cause/premature mortality, and evaluate their combined impact on all-cause mortality risk. METHODS All of 20617 (mean age: 56.90 ± 10.19, 52.18 % females) participants from China Health and Retirement Longitudinal Study were followed for a median of 7 years (interquartile range: 4-7) to detect death status. Baseline self-reported napping and sleep duration was categorized: napping as none, <60 min, 60-90 min, and ≥90 min, sleep as <6 h/night, 6-8 h/night, and ≥8 h/night. Death event was tracked, and premature death was defined using 2015 China's average life expectancy (73.64 years for men, and 79.43 years for women). Cox regression models analyzed the data. RESULTS During follow-up, 1621 participants (7.86 %) died, including 985 (4.78 %) premature deaths. Compared to none nappers, napping ≥90 min associated with a higher risk of all-cause mortality (Hazard ratio, [HR] 1.23, 95 % confidence interval [CI] 1.06-1.42) and premature mortality (HR 1.23, 95 % CI 1.02-1.49), while napping <60 min correlated with a lower risk of premature mortality (HR 0.71, 95 % CI 0.54-0.95), after adjustment. Compared to sleep 6-8 h/night, nighttime sleep ≥8 h was associated with an increased risk of all-cause mortality (HR 1.20, 95 % CI 1.04-1.37) and premature mortality (HR 1.28, 95 % CI 1.08-1.52). Participants napping ≥90 min and sleeping ≥8 h had a multi-adjusted HR (95%CI) of 1.50 (95 % CI 1.17-1.92) for all-cause mortality, versus no napping and 6-8 h/night sleep. CONCLUSIONS Prolonged napping and extended nighttime sleep linked to increased mortality risk, particularly in combination. Optimizing sleep patterns may have potential implication in mortality prevention.
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Affiliation(s)
- Yiting Zhang
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Key Laboratory of Elderly Health, Tianjin Geriatrics Institute, Tianjin, China
| | - Xuerui Li
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Key Laboratory of Elderly Health, Tianjin Geriatrics Institute, Tianjin, China
| | - Jun Zheng
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Key Laboratory of Elderly Health, Tianjin Geriatrics Institute, Tianjin, China
| | - Yuyang Miao
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Key Laboratory of Elderly Health, Tianjin Geriatrics Institute, Tianjin, China
| | - Jin Tan
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Key Laboratory of Elderly Health, Tianjin Geriatrics Institute, Tianjin, China
| | - Qiang Zhang
- Department of Geriatrics, Tianjin Medical University General Hospital, Tianjin Key Laboratory of Elderly Health, Tianjin Geriatrics Institute, Tianjin, China.
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Miller MA, Howarth NE. Sleep and cardiovascular disease. Emerg Top Life Sci 2023; 7:457-466. [PMID: 38084859 PMCID: PMC10754327 DOI: 10.1042/etls20230111] [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: 09/18/2023] [Revised: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023]
Abstract
This review centres around the recent evidence in examining the intersection of sleep and cardiovascular disease (CVD). Sleep in this review will be further subdivided to consider both sleep quantity and quality along and will also consider some of the more common sleep disorders, such as insomnia and obstructive sleep apnoea, in the context of CVD. Sleep disorders have been further explored in several specific populations which are both at risk of sleep disorders and CVD. Secondly, the review will present some of the risk factors for CVD that are affected by sleep and sleep disorders which include hypertension, diabetes, and obesity. It will also examine the potential underlying mechanisms including inflammation, appetite control, endocrine, and genetic processes that are affected by sleep and sleep disorders leading to increased risk of CVD development. In addition, we will consider the observed bi-directional relationships between sleep and cardiovascular risk factors. For example, obesity, a risk factor for CVD can be affected by sleep, but in turn can increase the risk of certain sleep disorder development which disrupts sleep, leading to further risk of obesity development and increased CVD risk. Finally, the review will explore emerging evidence around lifestyle interventions that have included a sleep component and how it impacts the management of CVD risk factor. The need for increased awareness of the health effects of poor sleep and sleep disorders will be discussed alongside the need for policy intervention to improve sleep to facilitate better health and well-being.
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Affiliation(s)
- Michelle A. Miller
- Division of Health Sciences (Mental Health and Wellbeing), Warwick Medical School, University of Warwick, Gibbet Hill, Coventry CV4 7AL, U.K
| | - Nathan E. Howarth
- Division of Health Sciences (Mental Health and Wellbeing), Warwick Medical School, University of Warwick, Gibbet Hill, Coventry CV4 7AL, U.K
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13
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Damigou E, Chrysohoou C, Vafia C, Barkas F, Kravvariti E, Vlachopoulou E, Kyrili K, Tsioufis C, Pitsavos C, Liberopoulos E, Sfikakis PP, Panagiotakos D. Mediterranean Diet and Cardiovascular Disease: The Moderating Role of Adequate Sleep-Results from the ATTICA Cohort Study (2002-2022). Nutrients 2023; 16:12. [PMID: 38201842 PMCID: PMC10780793 DOI: 10.3390/nu16010012] [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: 11/03/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 01/12/2024] Open
Abstract
The relationship between diet, sleep duration and cardiovascular disease (CVD) has not been well understood. The aim of the present study was to test the potential modifying role of sleep duration in the association between adherence to the Mediterranean-type diet (MD) and CVD risk. The study consisted of n = 313 initially free-of-CVD adults, from the ATTICA cohort study (2002-2022), with available information on sleep habits. Sleep habits were categorized as inadequate and adequate sleep duration (< or ≥7 h/day, respectively). In multi-adjusted analysis, MD adherence was inversely associated with CVD risk [Hazard Ratio-HR per 1/55 in MedDietScore: 0.80, 95% Confidence Interval-CI: 0.65, 0.98]. A significant interaction between sleep duration and MedDietScore was observed (p < 0.001). In subgroup analysis, the protective association between MD adherence and CVD risk was found only in participants who slept adequately, i.e., >7 h/day [HR:0.80, 95%CI: 0.65, 0.98]. Those who had a high adherence to the MD along with adequate sleep habits, had a 70% reduced 20-year CVD risk [HR:0.30, 95%CI: 0.11, 0.80], compared to those who had a low MD adherence and inadequate sleep habits. Sleep duration should be a part of an individual's lifestyle, together with dietary and other habits, to effectively evaluate CVD risk for future events.
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Affiliation(s)
- Evangelia Damigou
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, 17676 Athens, Greece; (E.D.)
| | - Christina Chrysohoou
- First Cardiology Clinic, Medical School, National and Kapodistrian University of Athens, Hippokration Hospital, 15772 Athens, Greece
| | - Christina Vafia
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, 17676 Athens, Greece; (E.D.)
| | - Fotios Barkas
- Department of Internal Medicine, Medical School, University of Ioannina, 45500 Ioannina, Greece
| | - Evrydiki Kravvariti
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Laiko General Hospital, 15772 Athens, Greece
| | - Elpiniki Vlachopoulou
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, 17676 Athens, Greece; (E.D.)
| | - Konstantina Kyrili
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Laiko General Hospital, 15772 Athens, Greece
| | - Costas Tsioufis
- First Cardiology Clinic, Medical School, National and Kapodistrian University of Athens, Hippokration Hospital, 15772 Athens, Greece
| | - Christos Pitsavos
- First Cardiology Clinic, Medical School, National and Kapodistrian University of Athens, Hippokration Hospital, 15772 Athens, Greece
| | - Evangelos Liberopoulos
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Laiko General Hospital, 15772 Athens, Greece
| | - Petros P. Sfikakis
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Laiko General Hospital, 15772 Athens, Greece
| | - Demosthenes Panagiotakos
- Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University, 17676 Athens, Greece; (E.D.)
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Pengsuwankasem N, Sittiprapaporn P, Rattanabun W, Sangmanee N, Wongsuphasawat K, Rintra J, Nararatwanchai T, Sarikaphuti A, Pandii W. The effect of short daytime napping on cognitive function, sleep quality, and quality of life in mild cognitive impairment patients. Neurosci Lett 2023; 817:137499. [PMID: 37838328 DOI: 10.1016/j.neulet.2023.137499] [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: 06/13/2023] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/16/2023]
Abstract
Mild cognitive impairment (MCI) is a neurological disorder that can increase the risk of Alzheimer's disease (AD) by three to five times more than those with normal cognition. To better understand the effects of daytime napping on MCI patients, a study was conducted to measure the effects of short naps on cognitive function, sleep quality, and quality of life. In total, 38 participants were asked to take 20-minute naps between 1:00p.m. and 3:00p.m. three times a week for eight weeks. The cognitive function of the participants was measured using the Thai version of the Montreal Cognitive Assessment (Thai-MoCA), their sleep quality was measured using the Thai version of the Pittsburgh Sleep Quality Index (Thai-PSQI), and their quality of life was measured using the Thai version of the Quality of Life (Thai-QoL) questionnaire. After the 8-week period, the participants' scores for the Thai-MoCA and the Thai-QoL questionnaire showed a significant improvement (p < 0.001 for both), while the Thai-PSQI decreased significantly (p = 0.012). This suggests that taking short daytime naps can help to improve the cognitive function, sleep quality, and quality of life of MCI patients.
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Affiliation(s)
- Nuttapon Pengsuwankasem
- Neuropsychological Research Laboratory, Neuroscience Research Center, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand; Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Phakkharawat Sittiprapaporn
- Neuropsychological Research Laboratory, Neuroscience Research Center, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand; Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Warongporn Rattanabun
- Neuropsychological Research Laboratory, Neuroscience Research Center, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand; Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Nipapan Sangmanee
- Neuropsychological Research Laboratory, Neuroscience Research Center, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand; Department of Anti-Aging and Regenerative Medicine, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Karnt Wongsuphasawat
- Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Jarasphol Rintra
- Department of Anti-Aging and Regenerative Medicine, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Thamthiwat Nararatwanchai
- Department of Anti-Aging and Regenerative Medicine, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Araya Sarikaphuti
- Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
| | - Wongdyan Pandii
- Department of Anti-Aging and Regenerative Science, School of Anti-Aging and Regenerative Medicine, Mae Fah Luang University, Bangkok 10110, Thailand.
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Maroto-Rodriguez J, Ortolá R, Carballo-Casla A, Iriarte-Campo V, Salinero-Fort MÁ, Rodríguez-Artalejo F, Sotos-Prieto M. Association between a mediterranean lifestyle and Type 2 diabetes incidence: a prospective UK biobank study. Cardiovasc Diabetol 2023; 22:271. [PMID: 37794451 PMCID: PMC10552305 DOI: 10.1186/s12933-023-01999-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 09/19/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND There is mounting evidence that the Mediterranean diet prevents type 2 diabetes, but little is known about the role of Mediterranean lifestyles other than diet and among non-Mediterranean populations. This work aimed to examine the association between a comprehensive Mediterranean-type lifestyle and type 2 diabetes incidence in a British adult population. METHODS We used data from 112,493 individuals free of cardiovascular disease and type 2 diabetes mellitus, aged 40-69 years, from the UK Biobank cohort, who were followed from 2009 to 2010 to 2021. The Mediterranean lifestyle was assessed through the 25-item MEDLIFE index, which comprises three blocks: (a) "Mediterranean food consumption", (b) "Mediterranean dietary habits", (c) "Physical activity, rest, social habits, and conviviality". Diabetes incidence was obtained from clinical records. Cox proportional-hazards regression models were used to analyze associations and adjusted for the main potential confounders. RESULTS After a median follow-up of 9.4 years, 2,724 cases of type 2 diabetes were ascertained. Compared to the first quartile of MEDLIFE adherence, the hazard ratios (95% confidence interval) for increasing quartiles of adherence were 0.90 (0.82-0.99), 0.80 (0.72-0.89) and 0.70 (0.62-0.79) (p-trend < 0.001). All three blocks of MEDLIFE were independently associated with lower risk of diabetes. CONCLUSIONS Higher adherence to the MEDLIFE index was associated with lower risk of type 2 diabetes in the UK Biobank. A Mediterranean-type lifestyle, culturally adapted to non-Mediterranean populations, could help prevent diabetes.
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Affiliation(s)
- Javier Maroto-Rodriguez
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo 4, Madrid, 28029, Spain
| | - Rosario Ortolá
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo 4, Madrid, 28029, Spain
- CIBERESP (CIBER of Epidemiology and Public Health), Av. Monforte de Lemos, 3-5. 28029, Madrid, Spain
| | - Adrián Carballo-Casla
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo 4, Madrid, 28029, Spain
- CIBERESP (CIBER of Epidemiology and Public Health), Av. Monforte de Lemos, 3-5. 28029, Madrid, Spain
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet & Stockholm University, Stockholm, Sweden
| | - Víctor Iriarte-Campo
- Foundation for Research and Biomedical Innovation of Primary Care of the Community of Madrid (FIIBAP), Av. de la Reina Victoria, 21, 6ª Planta, Madrid, 28003, Spain
| | - Miguel Ángel Salinero-Fort
- Foundation for Research and Biomedical Innovation of Primary Care of the Community of Madrid (FIIBAP), Av. de la Reina Victoria, 21, 6ª Planta, Madrid, 28003, Spain
- Hospital La Paz Institute for Health Research (IdIPAZ), Paseo de la Castellana, 261, Madrid, 28046, Spain
| | - Fernando Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo 4, Madrid, 28029, Spain
- CIBERESP (CIBER of Epidemiology and Public Health), Av. Monforte de Lemos, 3-5. 28029, Madrid, Spain
- Hospital La Paz Institute for Health Research (IdIPAZ), Paseo de la Castellana, 261, Madrid, 28046, Spain
| | - Mercedes Sotos-Prieto
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, Calle del Arzobispo Morcillo 4, Madrid, 28029, Spain.
- CIBERESP (CIBER of Epidemiology and Public Health), Av. Monforte de Lemos, 3-5. 28029, Madrid, Spain.
- IMDEA-Food Institute. CEI UAM+CSIC, Ctra. de Canto Blanco 8, E. 28049, Madrid, Spain.
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
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Diao T, Liu K, Wang Q, Lyu J, Zhou L, Yuan Y, Wang H, Yang H, Wu T, Zhang X. Bedtime, sleep pattern, and incident cardiovascular disease in middle-aged and older Chinese adults: The dongfeng-tongji cohort study. Sleep Med 2023; 110:82-88. [PMID: 37544277 DOI: 10.1016/j.sleep.2023.08.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/12/2023] [Accepted: 08/01/2023] [Indexed: 08/08/2023]
Abstract
OBJECTIVES To investigate the associations of bedtime and a low-risk sleep pattern with incident cardiovascular disease (CVD). METHODS A total of 31,500 retirees were included from the Dongfeng-Tongji cohort in 2008-2010 and 2013. Sleep information was collected by questionnaires. CVD events were identified through the health care system until December 31, 2018. Cox proportional hazards regression models were performed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS During an average follow-up of 7.2 years, 8324 cases of incident CVD, including 6557 coronary heart disease (CHD) and 1767 stroke, were documented. U-shaped associations of bedtime with the risks of incident CVD and stroke were observed. Compared with bedtime between 10:01 p.m.-11:00 p.m., the HR (95% CI) for CVD was 1.10 (1.01-1.20) for ≤9:00 p.m., 1.07 (1.01-1.13) for 9:01 p.m.-10:00 p.m., and 1.32 (1.11-1.58) for >12:00 a.m., respectively, mainly driven by stroke risk (22%, 14%, and 70% higher for ≤9:00 p.m., 9:01 p.m.-10:00 p.m., and >12:00 a.m., respectively). The number of low-risk sleep factors, namely bedtime between 10:01 p.m.-12:00 a.m., sleep duration of 7-< 8 h/night, good/fair sleep quality, and midday napping ≤60 min, exhibited dose-dependent relationships with CVD, CHD, and stroke risks. Participants with 4 low-risk sleep factors had a respective 24%, 21%, and 30% lower risk of CVD, CHD, and stroke than those with 0-1 low-risk sleep factor. CONCLUSIONS Individuals with early or late bedtimes had a higher CVD risk, especially stroke. Having low-risk sleep habits is associated with lower CVD risks.
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Affiliation(s)
- Tingyue Diao
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kang Liu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Qiuhong Wang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junrui Lyu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lue Zhou
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Yuan
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Wang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Handong Yang
- Department of Cardiovascular Diseases, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, China
| | - Tangchun Wu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Yao X, Lu F, Wang Z, Miao Y, Feng Q, Zhang Y, Jiang T, Tang S, Zhang N, Dai F, Hu H, Zhang Q. Association of sleep behaviors, insulin resistance surrogates, and the risk of hypertension in Chinese adults with type 2 diabetes mellitus. Front Endocrinol (Lausanne) 2023; 14:1212878. [PMID: 37547312 PMCID: PMC10400317 DOI: 10.3389/fendo.2023.1212878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 06/30/2023] [Indexed: 08/08/2023] Open
Abstract
Objective Our aim was to evaluate the association between midday napping, combined sleep quality, and insulin resistance surrogates and the risk of hypertension in patients with type 2 diabetes mellitus (T2DM). Methods Data were collected using a standardized questionnaire. Binary logistic regression was performed to estimate the odds ratio (OR) and 95% confidence interval (CI) for the risk of hypertension. Systolic and diastolic blood pressure were grouped as categorical variables and unpaired two-sided Student's t-test and Spearman correlation analysis were performed to estimate the association between different blood pressure levels and insulin resistance surrogates. Results The overall prevalence rate of hypertension was 50%. Age (OR = 1.056, 95% CI:1.044-1.068), poor sleep quality (OR = 1.959, 95% CI:1.393-2.755), hyperlipidemia (OR = 1.821, 95% CI:1.462-2.369), family history of hypertension (OR = 2.811, 95% CI:2.261-3.495), and obesity (OR = 5.515, 95% CI:1.384-21.971) were significantly associated with an increased risk of hypertension. Midday napping for 1-30 min was negatively correlated with the risk of hypertension (OR = 0.534, 95% CI:0.305-0.936, P <0.05). Conclusion Poor sleep quality and obesity are independent risk factors for hypertension. Midday napping (1-30 min) is associated with a decreased risk of hypertension in patients with T2DM.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Honglin Hu
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Qiu Zhang
- Department of Endocrinology, First Affiliated Hospital of Anhui Medical University, Hefei, China
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18
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Pan XB, Wang HX, Cao YJ, Liu YY. Secular Trends in Sleep Conditions in Chinese Elderly Individuals: A National Population-Based Study. Nat Sci Sleep 2023; 15:555-566. [PMID: 37441269 PMCID: PMC10335309 DOI: 10.2147/nss.s416084] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
Purpose As one of the most rapidly aging countries in the world, the elderly population is expected to reach over 400 million in China by 2032. Many studies have suggested a positive association between sleep duration and adverse health events among elderly individuals. This study aimed to investigate the sleep conditions of Chinese elderly individuals between 2005 and 2018. Patients and methods Data for 53,013 elderly individuals were taken from five cycles of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) during 2005-2018. Sex- and age-specific means and 95% confidence intervals (95% CIs) were used to estimate sleep duration trends. Changes in sleep patterns were explored during this period. The prevalence of short and long sleep durations was assessed and age-standardized by the 2010 census. Finally, self-reported sleep quality was used to determine sleep conditions from another perspective among elderly individuals. Results The mean sleep duration decreased from 7.87 (95% CI: 7.83-7.91) to 7.29 (95% CI: 7.25-7.33) hours between 2005 and 2018. Changes in sleep duration patterns were found during the study period. The proportion of the elderly population who slept ≤6 hours increased and that of those who slept ≥9 hours decreased noticeably over the past 13 years. The age-standardized prevalence of short sleep duration increased from 32.7% (95% CI: 32.7-32.9%) to 38.4% (95% CI: 38.3-38.5%). A significant decrease was observed in the prevalence of long sleep duration. Conclusion Sleep conditions are gradually shifting toward a shorter sleep duration and poorer sleep quality among Chinese elderly individuals.
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Affiliation(s)
- Xing-Bing Pan
- Performance Appraisal Office, Children’s Hospital of Hebei Province, Shijiazhuang, People’s Republic of China
| | - Hong-Xia Wang
- Department of Obstetrics and Gynecology, The Fourth Hospital of Hebei Medical University/The Tumour Hospital of Hebei Province, Shijiazhuang, People’s Republic of China
| | - Ya-Jing Cao
- Institutes for Non-Communicable Chronic Diseases Control and Prevention, Hebei Provincial Centre for Disease Control and Prevention, Shijiazhuang, People’s Republic of China
| | - Yan-Yu Liu
- Cancer Institute, The Fourth Hospital of Hebei Medical University/The Tumour Hospital of Hebei Province, Shijiazhuang, People’s Republic of China
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19
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Vizmanos B, Cascales AI, Rodríguez-Martín M, Salmerón D, Morales E, Aragón-Alonso A, Scheer FAJL, Garaulet M. Lifestyle mediators of associations among siestas, obesity, and metabolic health. Obesity (Silver Spring) 2023; 31:1227-1239. [PMID: 37140401 DOI: 10.1002/oby.23765] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 05/05/2023]
Abstract
OBJECTIVE The aim of this study was to determine the association between siestas/no siestas and obesity, considering siesta duration (long: >30 minutes, short: ≤30 minutes), and test whether siesta traits and/or lifestyle factors mediate the association of siestas with obesity and metabolic syndrome (MetS). METHODS This was a cross-sectional study of 3275 adults from a Mediterranean population (the Obesity, Nutrigenetics, TIming, and MEditerranean [ONTIME] study) who had the opportunity of taking siestas because it is culturally embedded. RESULTS Thirty-five percent of participants usually took siestas (16% long siestas). Compared with the no-siesta group, long siestas were associated with higher values of BMI, waist circumference, fasting glucose, systolic blood pressure, and diastolic blood pressure, as well as with a higher prevalence of MetS (41%; p = 0.015). In contrast, the probability of having elevated SBP was lower in the short-siesta group (21%; p = 0.044) than in the no-siesta group. Smoking a higher number of cigarettes per day mediated the association of long siestas with higher BMI (by 12%, percentage of association mediated by smoking; p < 0.05). Similarly, delays in nighttime sleep and eating schedules and higher energy intake at lunch (the meal preceding siestas) mediated the association between higher BMI and long siestas by 8%, 4%, and 5% (all p < 0.05). Napping in bed (vs. sofa/armchair) showed a trend to mediate the association between long siestas and higher SBP (by 6%; p = 0.055). CONCLUSIONS Siesta duration is relevant in obesity/MetS. Timing of nighttime sleep and eating, energy intake at lunch, cigarette smoking, and siesta location mediated this association.
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Affiliation(s)
- Barbara Vizmanos
- Institute of Nutrigenetics and Nutrigenomics, University Center for Health Sciences, University of Guadalajara, Guadalajara, Mexico
- Department of Philosophical, Methodological and Instrumental Disciplines, University Center for Health Sciences, University of Guadalajara, Guadalajara, Mexico
- Nutritional Status Assessment Laboratory, Department of Human Reproduction, Child Growth and Development Clinics, University Center for Health Sciences, University of Guadalajara, Guadalajara, Mexico
- Department of Public Health, University Center for Health Sciences, University of Guadalajara, Guadalajara, Mexico
| | - Ana Isabel Cascales
- Department of Physiology, Regional Campus of International Excellence, University of Murcia, Murcia, Spain
- Biomedical Research Institute of Murcia, IMIB-Arrixaca-UMU, University Clinical Hospital, Murcia, Spain
| | - María Rodríguez-Martín
- Department of Physiology, Regional Campus of International Excellence, University of Murcia, Murcia, Spain
- Biomedical Research Institute of Murcia, IMIB-Arrixaca-UMU, University Clinical Hospital, Murcia, Spain
| | - Diego Salmerón
- Biomedical Research Institute of Murcia, IMIB-Arrixaca-UMU, University Clinical Hospital, Murcia, Spain
- Health and Social Sciences Department, University of Murcia, Murcia, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
| | - Eva Morales
- Biomedical Research Institute of Murcia, IMIB-Arrixaca-UMU, University Clinical Hospital, Murcia, Spain
- Health and Social Sciences Department, University of Murcia, Murcia, Spain
| | - Aurora Aragón-Alonso
- Endocrinology and Nutrition Service, Clinical University Hospital Virgin of the Arrixaca, Murcia, Spain
| | - Frank A J L Scheer
- Medical Chronobiology Program, Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Broad Institute, Cambridge, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Marta Garaulet
- Department of Physiology, Regional Campus of International Excellence, University of Murcia, Murcia, Spain
- Biomedical Research Institute of Murcia, IMIB-Arrixaca-UMU, University Clinical Hospital, Murcia, Spain
- Medical Chronobiology Program, Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
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Dilixiati D, Kadier K, Laihaiti D, Lu JD, Rezhake R, Azhati B, Rexiati M. The relationship between sleep disorders, quality, and duration and sexual dysfunction: a systematic review and meta-analysis. J Sex Med 2023:7143630. [PMID: 37186140 DOI: 10.1093/jsxmed/qdad054] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/24/2023] [Accepted: 03/24/2023] [Indexed: 05/17/2023]
Abstract
BACKGROUND The associations between sexual dysfunction (SD) and sleep disorders, sleep quality, and sleep duration remain unclear. AIM To assess the relationship between sleep and SD through a literature review and meta-analysis. METHODS The PubMed, Scopus, Embase, Ovid MEDLINE, and Cochrane Library databases were systematically searched from inception to November 10, 2022. OUTCOMES Pooled relative risks and 95% CIs were used to examine the association of sleep disorders with SD in longitudinal studies. Pooled odds ratios (ORs) and 95% CIs were used to examine the associations between SD and sleep disorders, sleep quality, and sleep duration in cross-sectional studies. RESULTS Forty-three articles, including 11 longitudinal studies and 32 cross-sectional studies, were included in the quantitative analysis. The pooled relative risk of SD in patients with sleep disorders was 1.97 in longitudinal studies (95% CI, 1.46-2.67, P < .001; heterogeneity: I2 = 95.0%, P < .001), while the pooled OR of SD in patients with sleep disorders was 2.05 in cross-sectional studies (95% CI, 1.76-2.39, P < .001; heterogeneity: I2 = 91.4%, P < .001). When compared with controls, subjects with poor sleep quality had a 1.49-fold increased risk of SD (OR, 1.49; 95% CI, 1.31-1.71, P < .001; heterogeneity: I2 = 73.4%, P < .001). In addition, short sleep duration was associated with the risk of SD (OR, 1.14; 95% CI, 1.06-1.22, P < .001; heterogeneity: I2 = 0.0%, P = .849). CLINICAL IMPLICATIONS The risk of SD is significantly increased in patients with sleep disorders and poor sleep quality, indicating that clinicians should monitor sleep among patients with SD. STRENGTHS AND LIMITATIONS This study is the most comprehensive meta-analysis of the association between sleep and SD to date. However, different sleep disorders may have varying associations with sleep duration and sleep quality; thus, we could not identify the independent effects across the studies. CONCLUSION Our systematic review and meta-analysis results suggest that sleep disorders, especially obstructive sleep apnea, increase the risk of SD in men and women. Poor sleep quality is significantly associated with SD. Short sleep duration is associated with an increased risk of SD.
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Affiliation(s)
- Diliyaer Dilixiati
- Department of Urology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
- Xinjiang Clinical Medical Research Center of Urogenital Diseases, Urumqi 830054, China
| | - Kaisaierjiang Kadier
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - Duolikun Laihaiti
- Department of Joint Surgery, Changji Branch of First Affiliated Hospital of Xinjiang Medical University, Changji 831199, China
| | - Jian-De Lu
- Department of Urology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
- Xinjiang Clinical Medical Research Center of Urogenital Diseases, Urumqi 830054, China
| | - Remila Rezhake
- Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi 830017, China
| | - Baihetiya Azhati
- Department of Urology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
- Xinjiang Clinical Medical Research Center of Urogenital Diseases, Urumqi 830054, China
| | - Mulati Rexiati
- Department of Urology, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
- Xinjiang Clinical Medical Research Center of Urogenital Diseases, Urumqi 830054, China
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Zhou R, Chen HW, Huang YN, Zhong Q, Li FR, Huang RD, Liu HM, Zheng JZ, Xu JW, Wu XB. The association between daytime napping and risk of type 2 diabetes is modulated by inflammation and adiposity: Evidence from 435 342 UK-Biobank participants. J Diabetes 2023. [PMID: 37052293 DOI: 10.1111/1753-0407.13387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 01/07/2023] [Accepted: 03/20/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Existing evidence concerning the relationship between daytime napping and type 2 diabetes (T2D) is inconsistent, and whether the effects of napping differ by body fat percentage (BFP) and C-reactive protein (CRP) is unclear. We aimed to investigate the association between daytime napping frequency and T2D risk and whether such an association was modified by BFP and CRP. METHODS We included 435 342 participants free of diabetes from the UK Biobank. Participants were categorized as nonnappers, occasional nappers, and frequent nappers based on napping frequency, and BFP/CRP was divided into quartiles. Cox proportional hazards models were used. RESULTS During a median follow-up of 9.2 years, 17 592 T2D cases occurred. Higher frequency of daytime napping was significantly associated with an increased risk of T2D. Compared with nonnappers, the adjusted hazard ratios (HRs) for occasional nappers and habitual nappers were 1.28 (95% confidence interval [CI]: 1.24-1.32) and 1.49 (95% CI: 1.41-1.57), respectively. There was a significant additive and multiplicative interaction (relative excess risk due to interaction [RERI] = 0.490, 95% CI 0.307-0.673; p for multiplicative interaction <.001) between napping and BFP, whereby a higher hazard of T2D associated with more frequent napping was greatest among participants in the highest BFP quartile (HR = 4.45, 95% CI: 3.92-5.06). The results for CRP were similar (RERI = 0.266, 95% CI: 0.094-0.439; p for multiplicative interaction <.001). CONCLUSIONS Higher daytime napping frequency is associated with an increased T2D risk, and such relationships are modified by BFP and CRP. These findings underscore the importance of adiposity and inflammation control to mitigate diabetes risk.
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Affiliation(s)
- Rui Zhou
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
| | - Hao-Wen Chen
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
| | - Yi-Ning Huang
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
| | - Qi Zhong
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
| | - Fu-Rong Li
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Rui-Dian Huang
- Public Health Division, Hospital of Zhongluotan Town Baiyun District, Guangzhou, China
| | - Hua-Min Liu
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jia-Zhen Zheng
- Bioscience and Biomedical Engineering Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
- Bioscience and Biomedical Engineering Thrust, Systems Hub, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Jia-Wen Xu
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Xian-Bo Wu
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
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22
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Zhang Y, Zhou L, Ge M, Lin X, Dong B. Association between daytime nap duration and risks of frailty: Findings from the China Health and Retirement Longitudinal Study. Front Public Health 2023; 10:1098609. [PMID: 36777767 PMCID: PMC9911424 DOI: 10.3389/fpubh.2022.1098609] [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: 11/15/2022] [Accepted: 12/28/2022] [Indexed: 01/28/2023] Open
Abstract
Introduction Night sleep duration and total sleep duration are associated with frailty. However, the association between daytime nap duration and the risks of frailty has not been explored thoroughly. Methods This study used data from the China Health and Retirement Longitudinal Study (CHARLS). Participants aged 60 years and older at baseline were included in this study. Individuals with daytime nap duration were categorized into four groups: no napping, short napping (< 30 min), moderate napping (30-89 min), and extended napping (≥90 min). Frailty was assessed using a modified Physical Frailty Phenotype (PFP) scale. Non-frail participants at baseline were followed up for 4 years. The association between nap duration and risks of frailty at baseline and incident frailty was evaluated by logistic regression and discrete-time Cox regression analyses, respectively. Results In total, 5,126 participants were included in this study. For individuals with night sleep duration of ≥9 h, short nappers showed higher odds [odds ratio (OR) = 4.08, 95% confidence interval (CI): 1.30-12.78] for frailty compared with non-habitual nappers at baseline, while moderate nappers were less likely to be frail (OR = 0.18, 95% CI: 0.04-0.73). In the follow-up study, short nappers showed higher risks for frailty compared with participants of the no napping group with night sleep duration of < 6 h [hazard ratio (HR) = 1.91, 95% CI: 1.07-3.43] or 6-9 h (HR = 1.97, 95% CI: 1.18-3.30). Compared with short nappers, older adults with extended napping (HR = 0.41, 95% CI: 0.22-0.77) showed lower risks for frailty in those with night sleep duration of 6-9 h. For individuals with night sleep duration of ≥9 h, moderate napping (HR = 0.20, 95% CI: 0.05-0.77) decreased the risks for frailty compared with short napping. Conclusion Among older adults with night sleep duration of < 9 h, short nappers posed higher risks for frailty compared with non-habitual nappers. Extended naps for those with a night sleep duration of 6-9 h or moderate naps for those with night sleep duration of ≥9 h could lower the risk of frailty compared with short naps. Future studies on the timing, purpose, frequency, and quality of daytime napping and objectively measured nap duration are needed to explore the association between daytime napping and risks of frailty.
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Affiliation(s)
- Yan Zhang
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China,National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lixing Zhou
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China,National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Meiling Ge
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China,National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiufang Lin
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Birong Dong
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China,National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China,*Correspondence: Birong Dong ✉
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