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Bajaj P, Kaur T, Singh AP, Kaur G. Acute sleep deprivation-induced hepatotoxicity and dyslipidemia in middle-aged female rats and its amelioration by butanol extract of Tinospora cordifolia. Lab Anim Res 2024; 40:29. [PMID: 39164744 PMCID: PMC11337769 DOI: 10.1186/s42826-024-00216-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 07/31/2024] [Accepted: 08/12/2024] [Indexed: 08/22/2024] Open
Abstract
BACKGROUND Sleep deprivation (SD) due to an unhealthy lifestyle poses an oxidative challenge and is closely associated with an increased risk and prevalence of different metabolic disorders. Although the negative consequences of SD are well reported on mental health little is known about its detrimental effects on liver function and lipid metabolism. Tinospora cordifolia is reported for its hepatoprotective activity in different pre-clinical model systems. The current study was designed to elucidate the cumulative effects of aging and acute SD on liver functions, oxidative stress, and lipid metabolism, and their management by butanol extract of T. cordifolia (B-TCE) using middle-aged female acyclic rats as the model system. RESULTS Rats were divided into 4 groups: (1) Vehicle-undisturbed (VUD) (2) Vehicle-sleep deprived (VSD) (3) B-TCE pre-treated sleep-deprived (TSD) (4) B-TCE pre-treated undisturbed sleep (TUD). TSD and TUD groups were given 35 mg/kg of B-TCE once daily for 15 days followed by 12 h of sleep deprivation (6 a.m.-6 p.m.) of VSD and TSD group animals using the gentle-handling method while VUD and TUD group animals were left undisturbed. SD of VSD group animals increased oxidative stress, liver function disruption, and dyslipidemia which were ameliorated by B-TCE pre-treatment. Further, B-TCE was observed to target AMPK and its downstream lipid metabolism pathways as well as the p-Akt/cyclinD1/p-bad pathway of cell survival as possible underlying mechanisms of its hepatoprotective activity. CONCLUSIONS These findings suggest that B-TCE being a multi-component extract may be a potential agent in curtailing sleep-related problems and preventing SD-associated hepatotoxicity and dyslipidemia in postmenopausal women.
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Affiliation(s)
- Payal Bajaj
- Medical Biotechnology Laboratory, Department of Biotechnology, Guru Nanak Dev University, Amritsar, 143005, Punjab, India
| | - Tajpreet Kaur
- Department of Pharmacology, Khalsa College of Pharmacy, Amritsar, 143005, India
| | - Amrit Pal Singh
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, 143005, India
| | - Gurcharan Kaur
- Medical Biotechnology Laboratory, Department of Biotechnology, Guru Nanak Dev University, Amritsar, 143005, Punjab, India.
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Shi T, Shah I, Dang Q, Taylor L, Jagannath A. Sex-specific regulation of the cortical transcriptome in response to sleep deprivation. Front Neurosci 2024; 17:1303727. [PMID: 38504908 PMCID: PMC10948409 DOI: 10.3389/fnins.2023.1303727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 12/07/2023] [Indexed: 03/21/2024] Open
Abstract
Multiple studies have documented sex differences in sleep behaviour, however, the molecular determinants of such differences remain unknown. Furthermore, most studies addressing molecular mechanisms have been performed only in males, leaving the current state of knowledge biased towards the male sex. To address this, we studied the differences in the transcriptome of the cerebral cortex of male and female C57Bl/6 J mice after 6 h of sleep deprivation. We found that several genes, including the neurotrophin growth factor Bdnf, immediate early genes Fosb and Fosl2, and the adenylate cyclase Adcy7 are differentially upregulated in males compared to females. We identified the androgen-receptor activating transcription factor EZH2 as the upstream regulatory element specifying sex differences in the sleep deprivation transcriptome. We propose that the pathways downstream of these transcripts, which impact on cellular re-organisation, synaptic signalling, and learning may underpin the differential response to sleep deprivation in the two sexes.
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Affiliation(s)
- Tianyi Shi
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, Oxford, United Kingdom
| | - Ishani Shah
- Department of Pharmacology, University of Oxford, Oxford, United Kingdom
| | - Quang Dang
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, Oxford, United Kingdom
- Vinmec-VinUni Institute of Immunology, Vinmec Healthcare System, Hanoi, Vietnam
| | - Lewis Taylor
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, Oxford, United Kingdom
| | - Aarti Jagannath
- Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neurosciences, New Biochemistry Building, University of Oxford, Oxford, United Kingdom
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Andersen TO, Sejling C, Jensen AK, Dissing AS, Severinsen ER, Drews HJ, Sørensen TIA, Varga TV, Rod NH. Self-reported and tracked nighttime smartphone use and their association with overweight and cardiometabolic risk markers. Sci Rep 2024; 14:4861. [PMID: 38418905 PMCID: PMC10902390 DOI: 10.1038/s41598-024-55349-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 02/22/2024] [Indexed: 03/02/2024] Open
Abstract
Nighttime smartphone use is associated with sleep problems, which in turn have a bidirectional association with overweight. We aim to investigate whether nighttime smartphone use and sleep are related to overweight and metabolic dysfunction in adult populations. We used data from three population samples (aged 16-89) from the SmartSleep Study, which included survey data (N = 29,838), high-resolution tracking data (N = 3446), follow-up data (N = 1768), and cardiometabolic risk markers (N = 242). Frequent self-reported nighttime smartphone use was associated with 51% higher odds (95% CI: 1.32; 1.70) of overweight compared with no use. Tracked nighttime smartphone use was also associated with overweight. Similar results were found for obesity as an outcome. No consistent associations were found between nighttime smartphone use and cardiometabolic risk markers in a small subsample of healthy young women. Poor sleep quality (vs. good sleep quality) was associated with overweight (OR = 1.19, 85% CI: 1.10; 1.28). Overall, frequent nighttime smartphone use was consistently associated with overweight and a higher BMI across diverse population samples. The bidirectional interplay between nighttime smartphone use, sleep, and overweight may create a vicious circle of metabolic dysfunction over time. Therefore, nighttime smartphone use may be a potential target point for public health interventions to reduce overweight at the population level.
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Affiliation(s)
- Thea Otte Andersen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
| | - Christoffer Sejling
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Andreas Kryger Jensen
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Agnete Skovlund Dissing
- Real World Evidence & Epidemiology, Department of Value Evidence and Patient Insights, H. Lundbeck A/S, Copenhagen, Denmark
| | - Elin Rosenbek Severinsen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Henning Johannes Drews
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Thorkild I A Sørensen
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tibor V Varga
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Naja Hulvej Rod
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
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Giri S, Mehta R, Mallick BN. REM Sleep Loss-Induced Elevated Noradrenaline Plays a Significant Role in Neurodegeneration: Synthesis of Findings to Propose a Possible Mechanism of Action from Molecule to Patho-Physiological Changes. Brain Sci 2023; 14:8. [PMID: 38275513 PMCID: PMC10813190 DOI: 10.3390/brainsci14010008] [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] [Accepted: 12/17/2023] [Indexed: 01/27/2024] Open
Abstract
Wear and tear are natural processes for all living and non-living bodies. All living cells and organisms are metabolically active to generate energy for their routine needs, including for survival. In the process, the cells are exposed to oxidative load, metabolic waste, and bye-products. In an organ, the living non-neuronal cells divide and replenish the lost or damaged cells; however, as neuronal cells normally do not divide, they need special feature(s) for their protection, survival, and sustenance for normal functioning of the brain. The neurons grow and branch as axons and dendrites, which contribute to the formation of synapses with near and far neurons, the basic scaffold for complex brain functions. It is necessary that one or more basic and instinct physiological process(es) (functions) is likely to contribute to the protection of the neurons and maintenance of the synapses. It is known that rapid eye movement sleep (REMS), an autonomic instinct behavior, maintains brain functioning including learning and memory and its loss causes dysfunctions. In this review we correlate the role of REMS and its loss in synaptogenesis, memory consolidation, and neuronal degeneration. Further, as a mechanism of action, we will show that REMS maintains noradrenaline (NA) at a low level, which protects neurons from oxidative damage and maintains neuronal growth and synaptogenesis. However, upon REMS loss, the level of NA increases, which withdraws protection and causes apoptosis and loss of synapses and neurons. We propose that the latter possibly causes REMS loss associated neurodegenerative diseases and associated symptoms.
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Affiliation(s)
- Shatrunjai Giri
- Department of Biosciences, Manipal University Jaipur, Jaipur 303007, India;
| | - Rachna Mehta
- Amity Institute of Neuropsychology & Neurosciences, Amity University, Noida 201301, India;
| | - Birendra Nath Mallick
- Amity Institute of Neuropsychology & Neurosciences, Amity University, Noida 201301, India;
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Rempakos A, Prescott B, Mitchell GF, Vasan RS, Xanthakis V. Association of Life's Essential 8 With Cardiovascular Disease and Mortality: The Framingham Heart Study. J Am Heart Assoc 2023; 12:e030764. [PMID: 38014669 PMCID: PMC10727315 DOI: 10.1161/jaha.123.030764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 09/14/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND The association of the American Heart Association's updated cardiovascular health score, the Life's Essential 8 (LE8), with cardiovascular disease (CVD) and death is not described in the FHS (Framingham Heart Study). METHODS AND RESULTS We evaluated Framingham Offspring participants at examinations 2 and 6 (n=2888 and 1667; and mean age, 44 and 57 years, respectively), free of CVD with information on LE8 components. Using age-sex-adjusted Cox models, we related LE8 and its change (examination 2 to examination 6) with CVD and death risk and compared associations with those of the Life's Simple 7 score. Mean LE8 score at examination 2 was 67 points (minimum, 26 points; maximum, 100 points). At both examinations, participants were reclassified to a different cardiovascular health status, depending on which method (LE8 versus Life's Simple 7) was used (60% of participants in ideal Life's Simple 7 status were in intermediate LE8 category). On follow-up after examination 2 (median, 30 and 33 years for CVD and death, respectively), we observed 966 CVD events, and 1195 participants died. Participants having LE8≥68 (sample median) were at lower CVD and death risk compared with those with LE8<68 (examination 2: CVD hazard ratio [HR], 0.47 [95% CI, 0.41-0.54]; death HR, 0.55 [95% CI, 0.49-0.62]; all P<0.001). Participants maintaining low LE8 scores during life course were at highest CVD and death risk (CVD: HRs ranging from 1.8 to 2.3; P<0.001; death HR, 1.45 [95% CI, 1.13-1.85]; P=0.003 versus high-high group). CONCLUSIONS Further studies are warranted to elucidate whether the LE8 score is a better marker of CVD and death risk, compared with Life's Simple 7 score.
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Affiliation(s)
| | - Brenton Prescott
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMA
| | | | - Ramachandran S. Vasan
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMA
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart StudyFraminghamMA
- Department of EpidemiologyBoston University School of Public HealthBostonMA
- University of Texas School of Public HealthSan AntonioTX
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of MedicineBoston University School of MedicineBostonMA
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart StudyFraminghamMA
- Department of BiostatisticsBoston University School of Public HealthBostonMA
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Zamora S, Full KM, Ambeba E, Savin K, Crist K, Natarajan L, Sears DD, Alismail S, Letellier N, Benmarhnia T, Jankowska MM. Objective sleep and cardiometabolic biomarkers: results from the community of mine study. SLEEP ADVANCES : A JOURNAL OF THE SLEEP RESEARCH SOCIETY 2023; 4:zpad052. [PMID: 38107604 PMCID: PMC10721447 DOI: 10.1093/sleepadvances/zpad052] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 11/04/2023] [Indexed: 12/19/2023]
Abstract
Study Objectives Examining multiple dimensions of sleep health may better capture associations between sleep and health risks, including cardiometabolic disease (CMD). Hispanics have elevated risk for inadequate sleep and CMD biomarkers. Few studies have explored whether associations between sleep and CMD differ by Hispanic ethnicity. Methods Leveraging data from the Community of Mine (CoM) study, a cross-sectional investigation of 602 ethnically diverse participants, we derived accelerometer-measured sleep duration and efficiency, and self-reported sleep quality. Accelerometer-measured sleep exposures were analyzed both as continuous and categorical variables. Multivariate and quantile regression models were used to assess associations between sleep and CMD biomarkers (insulin resistance, systolic blood pressure, and low-density-lipoprotein cholesterol), controlling for age, sex, ethnicity, education, smoking status, and body mass index. We examined the potential effect modification of Hispanic ethnicity. Results We observed mixed results based on CMD biomarkers and sleep exposure. Increased sleep duration was significantly related to low-density lipoprotein cholesterol in adjusted models (estimate = 0.06; 95% CI: 0.02, 0.11). Poor sleep efficiency was associated with greater insulin resistance in the adjusted quantile (estimate = 0.20; 95% CI: 0.04, 0.36) model at the 90th percentile. Self-reported sleep quality was not associated with CMD outcomes. There was no evidence of effect modification by Hispanic ethnicity. Conclusions In this cohort, sleep health measures were found to have mixed and at times opposing effects on CMD outcomes. These effects did not demonstrate an interaction with Hispanic ethnicity.
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Affiliation(s)
- Steven Zamora
- Department of Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, UCSD, La Jolla, CA, USA
| | - Kelsie M Full
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville TN, USA
| | - Erica Ambeba
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA, USA
| | - Kimberly Savin
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, Department of Psychology, SDSU, San Diego, CA, USA
| | - Katie Crist
- Urban Studies and Planning Department, San Diego University, San Diego, CA, USA
| | - Loki Natarajan
- Herbert Wertheim School of Public Health and Human Longevity Science, UC San Diego, La Jolla, CA, USA
| | - Dorothy D Sears
- College of Health Solutions, Arizona State University, Phoenix, AZ, USA
| | - Sarah Alismail
- Department of Population Sciences, Beckman Research Institute, Duarte, CA, USA
| | - Noémie Letellier
- Department of Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, UCSD, La Jolla, CA, USA
| | - Tarik Benmarhnia
- Department of Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, UCSD, La Jolla, CA, USA
| | - Marta M Jankowska
- Department of Population Sciences, Beckman Research Institute, Duarte, CA, USA
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Pienaar PR, Roden LC, Boot CRL, van Mechelen W, Twisk JWR, Lambert EV, Rae DE. Longitudinal associations between self-reported sleep duration and cardiometabolic disease risk in corporate executives. Prev Med 2023; 175:107724. [PMID: 37827208 DOI: 10.1016/j.ypmed.2023.107724] [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: 05/17/2023] [Revised: 10/07/2023] [Accepted: 10/09/2023] [Indexed: 10/14/2023]
Abstract
OBJECTIVE This study aimed to determine the longitudinal associations between self-reported sleep duration and cardiometabolic disease (CMD) risk in corporate executives. METHODS Self-reported sleep duration and lifestyle, occupational, psychological, and anthropometrical, blood pressure and blood marker variables were obtained from 1512 employees at annual health risk assessments in South Africa between 2016 and 2019. Gender-stratified linear mixed models, adjusting for age, lifestyle, occupational and psychological covariates were used to explore these longitudinal associations. RESULTS Among women, shorter sleep duration was associated with higher body mass index (BMI) covarying for age only (ß with 95% confidence intervals: -0.19 [-0.36, -0.03]), age and occupational factors (-0.20 [-0.36, -0.03]) and age and psychological factors (-0.20 [-0.37, -0.03]). Among men, shorter sleep was associated with both BMI and waist circumference (WC) covarying for age only (BMI: -0.15 [-0.22; -0.08]; WC: -0.62 [-0.88; -0.37]); age and lifestyle factors (BMI: -0.12 [-0.21; -0.04]); WC: -0.016 [-0.92; -0.29], age and occupational factors (BMI: -0.20 [-0.22; 0.08]; WC: -0.62 [-0.88; -0.36]), and age and psychological factors (BMI: -0.15 [-0.22; -0.07]; WC: -0.59 [-0.86; -0.33]). Among men, shorter sleep was also longitudinally associated with higher CMD risk scores in models adjusted for age and lifestyle factors (CMD: -0.12 [-0.20; -0.04]) and age and psychological factors (CMD: -0.08 [-0.15; -0.01]). CONCLUSION Corporate executives who report shorter sleep durations may present with poorer CMD risk profiles, independent of age, lifestyle, occupational and psychological factors. Addressing sleep health in workplace health programmes may help mitigate the development of CMD in such employees.
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Affiliation(s)
- Paula R Pienaar
- Health Through Physical Activity Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health and Amsterdam Public Health Research Institute, Van der Boechorststraat 7, Amsterdam 1081 BT, the Netherlands.
| | - Laura C Roden
- Health Through Physical Activity Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Centre for Health and Life Sciences, Coventry University, Coventry CV1 2DS, United Kingdom
| | - Cécile R L Boot
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health and Amsterdam Public Health Research Institute, Van der Boechorststraat 7, Amsterdam 1081 BT, the Netherlands
| | - Willem van Mechelen
- Health Through Physical Activity Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Public and Occupational Health and Amsterdam Public Health Research Institute, Van der Boechorststraat 7, Amsterdam 1081 BT, the Netherlands; Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, University of Queensland, Brisbane, Australia; School of Public Health, Physiotherapy and Population Sciences, University College Dublin, Dublin, Ireland; Center of Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Jos W R Twisk
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Estelle V Lambert
- Health Through Physical Activity Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Dale E Rae
- Health Through Physical Activity Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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Kim HS, Lee H, Provido SMP, Chung GH, Hong S, Yu SH, Lee JE, Lee CB. Association between Sleep Duration and Metabolic Disorders among Filipino Immigrant Women: The Filipino Women's Diet and Health Study (FiLWHEL). J Obes Metab Syndr 2023; 32:224-235. [PMID: 37718118 PMCID: PMC10583772 DOI: 10.7570/jomes22032] [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: 05/06/2022] [Revised: 11/06/2022] [Accepted: 07/09/2023] [Indexed: 09/19/2023] Open
Abstract
Background Sleep plays a complex role in metabolic regulation, and the underlying linkage has not been clearly defined. We investigated the association between sleep duration and metabolic disorders in Filipino immigrants in Korea. Methods We analyzed 410 participants from the 2014 to 2016 baseline population of the Filipino Women's Diet and Health Study. Usual sleep duration was self-reported, and anthropometric parameters were measured directly. Blood glucose, lipid, and insulin levels were examined from fasting serum samples. We used general linear models to acquire least squares (LS) means and logistic regression models to calculate odds ratios to test the cross-sectional association between sleep duration and metabolic markers with 95% confidence intervals (CIs). Results We found a statistically significant linear association between increased sleep duration and elevated triglycerides, total cholesterol, and low-density lipoprotein cholesterol (LDL-C). LS means (95% CI) of <5, 5-6, 7-8, and >8 hours of sleep were 81.74 (71.43 to 93.54), 85.15 (76.65 to 94.59), 86.33 (77.84 to 95.75), and 105.22 (88.07 to 125.71), respectively, for triglycerides (P trend=0.049) and 174.52 (165.02 to 184.57), 180.50 (172.79 to 188.55), 182.51 (174.83 to 190.53), and 190.16 (176.61 to 204.74), respectively, for total cholesterol (P trend= 0.042). For LDL-C, the LS means (95% CI) were 97.34 (88.80 to 106.71), 100.69 (93.73 to 108.18), 104.47 (97.35 to 112.10), and 109.43 (96.94 to 123.54), respectively (P trend=0.047). Statistical significance persisted after additional adjustment for body mass index. The association with triglycerides was limited to current alcohol drinkers (P interaction=0.048). Conclusion Longer sleep duration was associated with increased triglyceride, total cholesterol, and LDL-C levels. The association with triglycerides was more pronounced among moderate alcohol drinkers.
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Affiliation(s)
- Hee Sun Kim
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul, Korea
| | - Heejin Lee
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul, Korea
| | | | - Grace H. Chung
- Research Institute of Human Ecology, Seoul National University, Seoul, Korea
- Department of Child Development and Family Studies, College of Human Ecology, Seoul National University, Seoul, Korea
| | - Sangmo Hong
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Sung Hoon Yu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Jung Eun Lee
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul, Korea
- Research Institute of Human Ecology, Seoul National University, Seoul, Korea
| | - Chang Beom Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
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Dunietz GL, Shedden K, Michels KA, Chervin RD, Lyu X, Freeman JR, Baylin A, O’Brien LM, Wactawski-Wende J, Schisterman EF, Mumford SL. Variability in Sleep Duration and Biomarkers of Cardiovascular Disease Across the Menstrual Cycle. Am J Epidemiol 2023; 192:1093-1104. [PMID: 36928293 PMCID: PMC10505415 DOI: 10.1093/aje/kwad060] [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: 05/10/2022] [Revised: 01/05/2023] [Accepted: 03/13/2023] [Indexed: 03/18/2023] Open
Abstract
Variability in sleep duration and cardiovascular health have been infrequently investigated, particularly among reproductive-age women. We examined these associations across the menstrual cycle among a cohort of 250 healthy premenopausal women, aged 18-44 years. The BioCycle study (New York, 2005-2007) collected cardiovascular biomarkers (serum high- and low-density lipoprotein (HDL, LDL), total cholesterol, triglycerides, and C-reactive protein (CRP)) at key time points along the menstrual cycle (follicular, ovulatory, and luteal phases). Women also recorded sleep duration in daily diaries. From these data, we computed L-moments, robust versions of location, dispersion, skewness, and kurtosis. We fitted linear mixed models with random intercepts and inverse probability weighting to estimate associations between sleep variability and cardiovascular biomarkers, accounting for demographic, lifestyle, health, and reproductive factors. Sleep dispersion (any deviation from mean duration) was associated with lower mean LDL for nonshift workers and non-White women. Skewed sleep duration was associated with higher mean CRP and lower mean total cholesterol. Sleep durations with extreme short and long bouts (kurtosis) were associated with a lower mean HDL, but not mean CRP, LDL, or triglycerides. Sleep duration modified associations between sleep dispersion and LDL, HDL, and total cholesterol. Even in young and healthy women, sleep duration variability could influence cardiovascular health.
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Affiliation(s)
- Galit Levi Dunietz
- Correspondence to Dr. Galit Levi Dunietz, Department of Neurology, University of Michigan Medical School, 1500 E. Medical Center Drive, Ann Arbor, MI 48109 (e-mail: )
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Imran Patel S, R. Erwin M, Olmstead R, Jean-Louis G, Parthasarathy S, D. Youngstedt S. Comparisons of Sleep, Demographics, and Health-Related Variables in Older Long and Average Duration Sleepers. Sleep Sci 2023; 16:165-173. [PMID: 37425974 PMCID: PMC10325844 DOI: 10.1055/s-0043-1770804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2023] Open
Abstract
Introduction Long sleep duration is associated with many health risks, particularly in older adults, but little is known about other characteristics associated with long sleep duration. Methods Across 5 sites, adults aged 60-80 years who reported sleeping 8-9 h ("long sleepers", n = 95) or 6-7.25 h ("average sleepers", n = 103) were assessed for two weeks using actigraphy and sleep diary. Demographic and clinical characteristics, objective sleep apnea screening, self-reported sleep outcomes, and markers of inflammation and glucose regulation were measured. Results Compared to average sleepers, long sleepers had a greater likelihood of being White and unemployed and/or retired. Long sleepers also reported longer time in bed, total sleep time and wake after sleep onset by sleep diary and by actigraphy. Other measures including medical co-morbidity, apnea/hypopnea index, sleep related outcomes such as sleepiness, fatigue, depressed mood, or markers of inflammation and glucose metabolism did not differ between long and average sleepers. Conclusion Older adults with long sleep duration were more likely to be White, report unemployment and retirement suggesting the social factors or related sleep opportunity contributed to long sleep duration in the sample. Despite known health risks of long sleep duration, neither co-morbidity nor markers of inflammation or metabolism differed in older adults with long sleep duration compared with those with average sleep duration.
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Affiliation(s)
- Salma Imran Patel
- Division of Pulmonary, Allergy, Critical Care Medicine and Sleep Medicine, University of Arizona, UAHS Center for Sleep and Circadian Sciences, Tucson, Arizona, United States
| | - Michael R. Erwin
- Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, and Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, United States
| | - Richard Olmstead
- Cousins Center for Psychoneuroimmunology, Semel Institute for Neuroscience and Human Behavior, and Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, California, United States
| | - Girardin Jean-Louis
- Department of Psychiatry, NYU Grossman School of Medicine, New York, New York, United States
| | - Sairam Parthasarathy
- Division of Pulmonary, Allergy, Critical Care Medicine and Sleep Medicine, University of Arizona, UAHS Center for Sleep and Circadian Sciences, Tucson, Arizona, United States
| | - Shawn D. Youngstedt
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, Arizona, United States
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11
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The Relationship between Sleep Duration and Metabolic Syndrome Severity Scores in Emerging Adults. Nutrients 2023; 15:nu15041046. [PMID: 36839404 PMCID: PMC9965711 DOI: 10.3390/nu15041046] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 02/14/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Research suggests sleep duration can influence metabolic systems including glucose homeostasis, blood pressure, hormone regulation, nervous system activity, and total energy expenditure (TEE), all of which are related to cardiometabolic disease risk, even in young adults. The purpose of this study was to examine the relationship between sleep duration and metabolic syndrome severity scores (MSSS) in a sample of emerging adults (18-24 y/o). METHODS Data were collected between 2012 and 2021 from the College Health and Nutrition Assessment Survey, an ongoing, cross-sectional study conducted at a midsized northeastern university. Anthropometric, biochemical, and clinical measures were obtained following an overnight fast and used to assess the prevalence of metabolic syndrome (MetS). MetS severity scores (MSSS) were calculated using race- and sex-specific formulas. Sleep duration was calculated from the difference in self-reported bedtime and wake time acquired through an online survey. ANCOVA was used to examine the relationship between sleep duration and MetS severity score while adjusting for covariates (age, sex, BMI, physical activity level, smoking status, alcohol consumption, and academic major). RESULTS In the final sample (n = 3816), MetS (≥3 criteria) was present in 3.3% of students, while 15.4% of students presented with ≥2 MetS criteria. Mean MSSS was -0.65 ± 0.56, and the reported sleep duration was 8.2 ± 1.3 h/day. MSSS was higher among low sleepers (<7 h/day) and long sleepers (>9 h/day) compared to the reference sleepers (7-8 h/day) (-0.61 ± 0.02 and -0.63 ± 0.01 vs. -0.7 ± 0.02, respectively, p < 0.01). CONCLUSIONS Our findings suggest short (<7 h/day) and long (>9 h/day) sleep durations raise the risk of MetS in a sample of emerging adults. Further research is needed to elucidate the impact of improving sleep habits on future disease risk.
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12
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Fritz J, Huang T, Depner CM, Zeleznik OA, Cespedes Feliciano EM, Li W, Stone KL, Manson JE, Clish C, Sofer T, Schernhammer E, Rexrode K, Redline S, Wright KP, Vetter C. Sleep duration, plasma metabolites, and obesity and diabetes: a metabolome-wide association study in US women. Sleep 2023; 46:zsac226. [PMID: 36130143 PMCID: PMC9832513 DOI: 10.1093/sleep/zsac226] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 08/08/2022] [Indexed: 01/16/2023] Open
Abstract
Short and long sleep duration are associated with adverse metabolic outcomes, such as obesity and diabetes. We evaluated cross-sectional differences in metabolite levels between women with self-reported habitual short (<7 h), medium (7-8 h), and long (≥9 h) sleep duration to delineate potential underlying biological mechanisms. In total, 210 metabolites were measured via liquid chromatography-mass spectrometry in 9207 women from the Nurses' Health Study (NHS; N = 5027), the NHSII (N = 2368), and the Women's Health Initiative (WHI; N = 2287). Twenty metabolites were consistently (i.e. praw < .05 in ≥2 cohorts) and/or strongly (pFDR < .05 in at least one cohort) associated with short sleep duration after multi-variable adjustment. Specifically, levels of two lysophosphatidylethanolamines, four lysophosphatidylcholines, hydroxyproline and phenylacetylglutamine were higher compared to medium sleep duration, while levels of one diacylglycerol and eleven triacylglycerols (TAGs; all with ≥3 double bonds) were lower. Moreover, enrichment analysis assessing associations of metabolites with short sleep based on biological categories demonstrated significantly increased acylcarnitine levels for short sleep. A metabolite score for short sleep duration based on 12 LASSO-regression selected metabolites was not significantly associated with prevalent and incident obesity and diabetes. Associations of single metabolites with long sleep duration were less robust. However, enrichment analysis demonstrated significant enrichment scores for four lipid classes, all of which (most markedly TAGs) were of opposite sign than the scores for short sleep. Habitual short sleep exhibits a signature on the human plasma metabolome which is different from medium and long sleep. However, we could not detect a direct link of this signature with obesity and diabetes risk.
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Affiliation(s)
- Josef Fritz
- Circadian and Sleep Epidemiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Christopher M Depner
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, USA
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Wenjun Li
- Department of Public Health, School of Health Sciences, University of Massachusetts Lowell, Lowell, MA, USA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Clary Clish
- Metabolomics Platform, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Eva Schernhammer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Kathryn Rexrode
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Kenneth P Wright
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Céline Vetter
- Circadian and Sleep Epidemiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
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13
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Hayashi F, Ohira T, Sato S, Nakano H, Okazaki K, Nagao M, Shimabukuro M, Sakai A, Kazama JJ, Hosoya M, Takahashi A, Maeda M, Yabe H, Yasumura S, Ohto H, Kamiya K. Association between Dietary Diversity and Sociopsychological Factors and the Onset of Dyslipidemia after the Great East Japan Earthquake: Fukushima Health Management Survey. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14636. [PMID: 36429357 PMCID: PMC9690897 DOI: 10.3390/ijerph192214636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/27/2022] [Accepted: 11/01/2022] [Indexed: 06/16/2023]
Abstract
This study aimed to clarify the relationship between the onset of low-density lipoprotein hypercholesterolemia (hyper-LDLemia), high-density lipoprotein hypocholesterolemia (hypo-HDLemia), and hyper-triglyceridemia (hyper-TGemia) and lifestyle/socio-psychological factors among Fukushima evacuation area residents after the Great East Japan Earthquake. Participants included 11,274 non-hyper-LDLemia, 16,581 non-hypo-HDLemia, and 12,653 non-hyper-TGemia cases in the Fiscal Year (FY) 2011. In FY2011, these participants underwent a health checkup and responded to a mental health and lifestyle survey. The onset of each disease was followed through FY2017. The evacuation experience was positively associated with the risk of hyper-LDLemia, hypo-HDLemia, or hyper-TGemia. Conversely, the middle high dietary diversity score was negatively associated with the onset of hyper-TGemia. Moreover, low sleep satisfaction was positively associated with hypo-HDLemia and hyper-TGemia. The "almost never" exercise habit was positively associated with hypo-HDLemia. Current smoking and audible nuclear power plant explosions were positively associated with the risk of hyper-TGemia. Drinking habits exhibited a negative association with the onset of hyper-LDLemia, hypo-HDLemia, and hyper-TGemia. The results of this study indicate the need for continuous improvement in lifestyle, as well as efforts to eliminate the impact of disasters to prevent the onset of dyslipidemia among disaster evacuees.
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Affiliation(s)
- Fumikazu Hayashi
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Tetsuya Ohira
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Shiho Sato
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Hironori Nakano
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Kanako Okazaki
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Physical Therapy, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Masanori Nagao
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Epidemiology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Michio Shimabukuro
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Diabetes, Endocrinology and Metabolism, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Akira Sakai
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Radiation Life Sciences, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Junichiro James Kazama
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Nephrology and Hypertension, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Mitsuaki Hosoya
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Pediatrics, Fukushima Medical University School of Medicine, Fukushima, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Atsushi Takahashi
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Gastroenterology, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Masaharu Maeda
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Disaster Psychiatry, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Hirooki Yabe
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Seiji Yasumura
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Department of Public Health, Fukushima Medical University School of Medicine, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Hitoshi Ohto
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
| | - Kenji Kamiya
- Radiation Medical Science Center for the Fukushima Health Management Survey, Fukushima Medical University, 1 Hikariga-oka, Fukushima-City 960-1295, Japan
- Research Institute for Radiation Biology and Medicine, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima-City 734-8553, Japan
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14
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Peila R, Xue X, Feliciano EMC, Allison M, Sturgeon S, Zaslavsky O, Stone KL, Ochs-Balcom HM, Mossavar-Rahmani Y, Crane TE, Aggarwal M, Wassertheil-Smoller S, Rohan TE. Association of sleep duration and insomnia with metabolic syndrome and its components in the Women's Health Initiative. BMC Endocr Disord 2022; 22:228. [PMID: 36104689 PMCID: PMC9476543 DOI: 10.1186/s12902-022-01138-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 08/23/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Epidemiological evidence suggests that inadequate sleep duration and insomnia may be associated with increased risk of metabolic syndrome (MetS). However, longitudinal data with repeated measures of sleep duration and insomnia and of MetS are limited. We examined the association of sleep duration and insomnia with MetS and its components using longitudinal data from the Women's Health Initiative (WHI). METHODS The study included postmenopausal women (ages 50-79 years) diabetes-free at enrollment in the WHI, with baseline data on sleep duration (n = 5,159), insomnia (n = 5,063), MetS, and its components. Repeated measures of self-reported sleep duration and insomnia were available from years 1 or 3 of follow-up and of the MetS components from years 3, 6 and 9. Associations were assessed using logistic regression and generalized estimating equations models, and odds ratios and 95% confidence intervals (CI) adjusted for major risk factors were calculated. RESULTS In cross-sectional analysis, baseline sleep duration ≥ 9 h was positively associated with MetS (OR = 1.51; 95%CI 1.12-2.04), while sleep duration of 8- < 9 h was associated with waist circumference > 88 cm and triglycerides ≥ 150 mg/dL (OR = 1.18; 95%CI 1.01-1.40 and OR = 1.23; 95%CI 1.05-1.46, respectively). Insomnia had a borderline positive association with MetS (OR = 1.14; 95%CI 0.99-1.31), and significant positive associations with waist circumference > 88 cm and glucose ≥ 100 mg/dL (OR = 1.18; 95%CI 1.03-1.34 and OR = 1.17; 95%CI 1.02-1.35, respectively). In the longitudinal analysis, change from restful sleep to insomnia over time was associated with increased odds of developing MetS (OR = 1.40; 95%CI 1.01-1.94), and of a triglyceride level ≥ 150 mg/dL (OR = 1.48; 95%CI 1.08-2.03). CONCLUSIONS Among postmenopausal women in the WHI, sleep duration and insomnia were associated with current and future risk of MetS and some of its components.
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Affiliation(s)
- Rita Peila
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue Belfer, Rm1301A, Bronx, NY, 10461, USA.
| | - Xiaonan Xue
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue Belfer, Rm1301A, Bronx, NY, 10461, USA
| | | | - Matthew Allison
- Division of Preventive Medicine, University of California, San Diego, CA, USA
| | - Susan Sturgeon
- Institute of Applied Life Sciences, University of Massachusetts, Amherst, MA, USA
| | - Oleg Zaslavsky
- Department of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, WA, USA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Heather M Ochs-Balcom
- Department of Epidemiology and Environmental Health, University of Buffalo, Bufallo, NY, USA
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue Belfer, Rm1301A, Bronx, NY, 10461, USA
| | - Tracy E Crane
- Behavioral Measurement and Interventions Cancer Prevention and Control Program, University of Arizona, Tucson, AZ, USA
| | - Monica Aggarwal
- Division of Cardiology, University of Florida, Gainesville, FL, USA
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue Belfer, Rm1301A, Bronx, NY, 10461, USA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue Belfer, Rm1301A, Bronx, NY, 10461, USA
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15
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Different Exposure Metrics of Rotating Night-Shift Work and Serum Lipid Profiles Among Steelworkers. J Occup Environ Med 2022; 64:e475-e481. [DOI: 10.1097/jom.0000000000002588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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16
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Monzon AD, Patton SR, Koren D. Childhood diabetes and sleep. Pediatr Pulmonol 2022; 57:1835-1850. [PMID: 34506691 DOI: 10.1002/ppul.25651] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 07/18/2021] [Accepted: 08/26/2021] [Indexed: 12/18/2022]
Abstract
Sleep modulates glucose metabolism, both in healthy states and in disease. Alterations in sleep duration (insufficient and excessive) and obstructive sleep apnea may have reciprocal ties with obesity, insulin resistance and Type 2 diabetes, as demonstrated by emerging evidence in children and adolescents. Type 1 diabetes is also associated with sleep disturbances due to the influence of wide glycemic fluctuations upon sleep architecture, the need to treat nocturnal hypoglycemia, and the need for glucose monitoring and insulin delivery technologies. In this article, we provide an extensive and critical review on published pediatric literature regarding these topics, reviewing both epidemiologic and qualitative data, and provide an overview of the pathophysiology linking sleep with disorders of glucose homeostasis.
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Affiliation(s)
- Alexandra D Monzon
- Department of Psychology and Applied Behavioral Science, Clinical Child Psychology Program, University of Kansas, Lawrence, Kansas, USA
| | - Susana R Patton
- Department of Biomedical Research, Center for Healthcare Delivery Science, Nemours Children's Health System, Jacksonville, Florida, USA
| | - Dorit Koren
- Department of Pediatrics, Pediatric Endocrinology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
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17
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Al-Musharaf S. Changes in Sleep Patterns during Pregnancy and Predictive Factors: A Longitudinal Study in Saudi Women. Nutrients 2022; 14:nu14132633. [PMID: 35807814 PMCID: PMC9268456 DOI: 10.3390/nu14132633] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 06/21/2022] [Accepted: 06/22/2022] [Indexed: 11/16/2022] Open
Abstract
This study aimed to assess sleep patterns during the three trimesters of pregnancy and whether vitamin D concentrations, along with other risk factors, are associated with these alterations. In a longitudinal study, 140 pregnant women (age 18 to 39 years) were followed throughout their first, second, and third trimesters. Sleep was measured using the Pittsburgh Sleep Quality Index (PSQI) at each trimester, along with an assessment of biochemical parameters, including serum vitamin D levels. The information that was collected included anthropometric data, socio-economic status, dietary intake, and physical activity. The PSQI was higher in mid and late pregnancy than in early pregnancy (both p = 0.001), and the sleep duration was also higher in late versus early pregnancy. Linear regression analyses revealed independent predictors of deteriorating sleep quality from early to late pregnancy, including low income (B ± SE −0.60 ± 0.26, p = 0.03) and low serum vitamin D levels in the second trimester (B ± SE −0.20 ± 0.01, p = 0.04). Energy intake and sitting in the second half of pregnancy were positively associated with changes in the PSQI score from the second to third trimesters (B ± SE 0.15 ± 0.07, p = 0.048) and (B ± SE 0.01 ± 0.00, p = 0.044), respectively. Low socio-economic status, low serum vitamin D levels, greater energy intake, and sitting time were associated with worsening patterns of sleep quality from early to late pregnancy.
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Affiliation(s)
- Sara Al-Musharaf
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia
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18
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Laaboub N, Dubath C, Ranjbar S, Sibailly G, Grosu C, Piras M, Délessert D, Richard-Lepouriel H, Ansermot N, Crettol S, Vandenberghe F, Grandjean C, Delacrétaz A, Gamma F, Plessen KJ, von Gunten A, Conus P, Eap CB. Insomnia disorders are associated with increased cardiometabolic disturbances and death risks from cardiovascular diseases in psychiatric patients treated with weight-gain-inducing psychotropic drugs: results from a Swiss cohort. BMC Psychiatry 2022; 22:342. [PMID: 35581641 PMCID: PMC9116036 DOI: 10.1186/s12888-022-03983-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 05/04/2022] [Indexed: 11/16/2022] Open
Abstract
STUDY OBJECTIVES Insomnia disorders as well as cardiometabolic disorders are highly prevalent in the psychiatric population compared to the general population. We aimed to investigate their association and evolution over time in a Swiss psychiatric cohort. METHODS Data for 2861 patients (8954 observations) were obtained from two prospective cohorts (PsyMetab and PsyClin) with metabolic parameters monitored routinely during psychotropic treatment. Insomnia disorders were based on the presence of ICD-10 "F51.0" diagnosis (non-organic insomnia), the prescription of sedatives before bedtime or the discharge letter. Metabolic syndrome was defined using the International Diabetes Federation definition, while the 10-year risk of cardiovascular event or death was assessed using the Framingham Risk Score and the Systematic Coronary Risk Estimation, respectively. RESULTS Insomnia disorders were observed in 30% of the cohort, who were older, predominantly female, used more psychotropic drugs carrying risk of high weight gain (olanzapine, clozapine, valproate) and were more prone to suffer from schizoaffective or bipolar disorders. Multivariate analyses showed that patients with high body mass index (OR = 2.02, 95%CI [1.51-2.72] for each ten-kg/m2 increase), central obesity (OR = 2.20, [1.63-2.96]), hypertension (OR = 1.86, [1.23-2.81]), hyperglycemia (OR = 3.70, [2.16-6.33]), high density lipoprotein hypocholesterolemia in women (OR = 1.51, [1.17-1.95]), metabolic syndrome (OR = 1.84, [1.16-2.92]) and higher 10-year risk of death from cardiovascular diseases (OR = 1.34, [1.17-1.53]) were more likely to have insomnia disorders. Time and insomnia disorders were associated with a deterioration of cardiometabolic parameters. CONCLUSIONS Insomnia disorders are significantly associated with metabolic worsening and risk of death from cardiovascular diseases in psychiatric patients.
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Affiliation(s)
- Nermine Laaboub
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, 1008 Prilly, Prilly, Switzerland
| | - Céline Dubath
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, 1008 Prilly, Prilly, Switzerland
| | - Setareh Ranjbar
- Center for Psychiatric Epidemiology and Psychopathology, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Guibet Sibailly
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, 1008 Prilly, Prilly, Switzerland
| | - Claire Grosu
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, 1008 Prilly, Prilly, Switzerland
| | - Marianna Piras
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, 1008 Prilly, Prilly, Switzerland
| | - Didier Délessert
- Prison Medicine and Psychiatry Service, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Hélène Richard-Lepouriel
- Unit of Mood Disorders, Department of Psychiatry, Geneva University Hospital, Geneva, Switzerland
| | - Nicolas Ansermot
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, 1008 Prilly, Prilly, Switzerland
| | - Severine Crettol
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, 1008 Prilly, Prilly, Switzerland
| | - Frederik Vandenberghe
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, 1008 Prilly, Prilly, Switzerland
| | - Carole Grandjean
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, 1008 Prilly, Prilly, Switzerland
| | - Aurélie Delacrétaz
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, 1008 Prilly, Prilly, Switzerland
- Les Toises Psychiatry and Psychotherapy Center, Lausanne, Switzerland
| | - Franziska Gamma
- Les Toises Psychiatry and Psychotherapy Center, Lausanne, Switzerland
| | - Kerstin Jessica Plessen
- Service of Child and Adolescent Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Armin von Gunten
- Service of Old Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Philippe Conus
- Service of General Psychiatry, Department of Psychiatry, Lausanne University Hospital, University of Lausanne, Prilly, Switzerland
| | - Chin B Eap
- Unit of Pharmacogenetics and Clinical Psychopharmacology, Department of Psychiatry, Centre for Psychiatric Neuroscience, Lausanne University Hospital, University of Lausanne, 1008 Prilly, Prilly, Switzerland.
- School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland.
- Center for Research and Innovation in Clinical Pharmaceutical Sciences, University of Lausanne, Lausanne, Switzerland.
- Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, University of Lausanne, Lausanne, Switzerland.
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19
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Podlipskyte A, Kazukauskiene N, Varoneckas G, Mickuviene N. Association of Insulin Resistance With Cardiovascular Risk Factors and Sleep Complaints: A 10-Year Follow-Up. Front Public Health 2022; 10:848284. [PMID: 35651853 PMCID: PMC9150369 DOI: 10.3389/fpubh.2022.848284] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 04/21/2022] [Indexed: 11/15/2022] Open
Abstract
The aim of the study was to investigate the association of insulin resistance (IR) with cardiovascular risk factors and sleep complaints among citizens of Palanga over a 10-year follow-up period. This epidemiological longitudinal cohort study was performed with 835 subjects. Methods All participants were evaluated for sociodemographic, clinical and cardiovascular risk factors, behavioral factors, self-perceived health and biochemical analysis. IR was evaluated using the homeostasis model assessment of IR (HOMA-IR). Results All study participants were stratified into two groups, without IR (HOMA-IR ≤ 2.7) and with IR (HOMA-IR > 2.7). The analysis of parameters between the two study groups showed statistically significant relationships between IR, cardiovascular risk factors and sleep complaints within the 10-year period. After adjusting for a 10-year period, sex, age, body mass index, physical activity, education, systolic and diastolic blood pressures, presence of disease, total cholesterol, triglyceride levels, metabolic syndrome (MetS) and diabetes mellitus (DM), IR was statistically significantly more frequent in subjects with increased sleep latency [odds ratio (OR) 1.37, 95% CI 1.01-1.93; p = 0.043], snoring frequency (OR 1.37, 95% CI 1.05-1.79; p = 0.020) and very loud snoring (OR 1.34, 95% CI 1.04-1.74, p = 0.026). Conclusions The incidence of obesity, MetS, DM, elevated fasting glucose level, triglyceridemia and sleep complaints became more frequent after a 10-year period in subjects with IR. Over a 10-year period, IR was significantly associated with an increase in sleep complaints: sleep latency reflecting difficulty to fall asleep, snoring and very loud snoring.
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Affiliation(s)
- Aurelija Podlipskyte
- Laboratory of Behavioral Medicine, Neuroscience Institute, Lithuanian University of Health Sciences, Palanga, Lithuania
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20
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Chen Z, Zhang X, Duan Y, Mo T, Liu W, Ma Y, Yin P. The Relationship Between Sleep Duration and Blood Lipids Among Chinese Middle-Aged and Older Adults: Cross-Lagged Path Analysis From CHARLS. Front Public Health 2022; 10:868059. [PMID: 35646780 PMCID: PMC9136093 DOI: 10.3389/fpubh.2022.868059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
This study used data from the China Health and Retirement Longitudinal Study to investigate the temporal relationship between blood lipids and sleep duration in Chinese middle-aged and older adults. We used medical examinations and questionnaire data of 5,016 Chinese middle-aged and older adults (age 45+) in 2011 and 2015. Cross-lagged path analysis was performed to examine the bidirectional relationships between blood lipids and sleep duration. Sleep duration and lipids data were analyzed as continuous variables. Temporal relationships between sleep duration and HDL-cholesterol, LDL-cholesterol, total cholesterol, and triglycerides were different. Sleep duration was negatively associated with HDL-cholesterol 4 year later (β1 = −0.171, P = 0.005), and HDL-cholesterol was negatively associated with sleep duration 4 year later (β2 = −0.006, P = 0.002). Longer sleep duration was associated lower levels of LDL-cholesterol (β1 = −0.275, P = 0.097) and total cholesterol (β1 = −0.329, P = 0.096) 4 year later. There was a positive correlation between triglycerides and sleep duration. The path coefficient from triglycerides to sleep duration 4 year later (β2 = 0.001, P = 0.018) was greater than that from sleep duration to triglycerides 4 year later (β1 = 0.109, P = 0.847), with P = 0.030 for the difference between β1 and β2. In stratified analysis, we found that the strength and direction of the relationships may be related to age and BMI. Effects of sleep duration on blood lipids were only observed among participants aged <60 years, while the effect in the opposite direction was observed in older adults (age 60+), and the cross-lagged path coefficients were more significant in adults with BMI > 25.
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Affiliation(s)
- Ziwei Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xia Zhang
- The First People's Hospital of Jingzhou, Jingzhou, China
| | - Yanran Duan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tingting Mo
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenli Liu
- Department of Statistics, East China Normal University, Shanghai, China
| | - Yilei Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Yilei Ma
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Ping Yin
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21
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Du J, Chen Y, Zhou N, Song Y, Wang W, Hong X. Associations between self-reported sleep duration and abnormal serum lipids in eastern China: a population-based cross-sectional survey. Sleep Med 2022; 95:1-8. [DOI: 10.1016/j.sleep.2022.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 02/21/2022] [Accepted: 04/06/2022] [Indexed: 11/28/2022]
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22
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Çakır H, Güneş A, Er F, Çakır H, Karagöz A, Yılmaz F, Öcal L, Zehir R, Emiroğlu MY, Demir M, Kaymaz C, Tenekecioğlu E. Evaluating the relationship of sleep quality and sleep duration with Framingham coronary heart disease risk score. Chronobiol Int 2022; 39:636-643. [PMID: 35016566 DOI: 10.1080/07420528.2021.2018453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Sleep is an important modulator of cardiovascular function and is recognized to play an important role in the pathogenesis and progression of cardiovascular disease. However, results of the studies investigating the relationship between sleep complaints and cardiovascular outcomes are still controversial. This study aimed to investigate the associations of sleep duration and sleep quality with Framingham 10-year hard coronary heart disease (CHD) risk score in Turkish adults. We included a total of 362 participants (mean age: 48.5 ± 9.0 years, 50.6% males) and measured sleep quality and sleep duration using Pittsburgh Sleep Quality Index (PSQI). Framingham risk scoring system was utilized to calculate the 10-year hard CHD risk of participants. Binary logistic regression analysis was performed to determine the association between sleep quality, sleep duration, and CHD risk. Both short sleep duration (<6 hours) (OR = 3.858, 95% CI: 1.245-11.956) and long sleep duration (≥8 hours) (OR = 2.944, 95% CI: 1.087-7.967) were identified as the predictors of 10-year hard CHD risk. However, sleep quality was not associated with 10-year CHD risk even as a categorical or continuous variable (OR = 0.864, 95% CI: 0.418-1.787 and OR = 0.985, 95% CI: 0.868-1.117, respectively). Our findings highlighted previous studies demonstrating the U-shaped relationship, with both short and long sleep durations to be associated with a higher CHD risk. Evaluation of habitual sleeping patterns may provide additional information in clinical cardiovascular risk assessment. Future research should investigate whether interventions to optimize sleep duration may help to prevent coronary events in large population-based cohorts.
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Affiliation(s)
- Hakan Çakır
- Department of Cardiology, Kartal Kosuyolu Cardiovascular Research and Training Hospital, Health Sciences University, Istanbul, Turkey
| | - Aygül Güneş
- Department of Neurology, Bursa Yuksek Ihtisas Training and Research Hospital, Health Sciences University, Bursa, Turkey
| | - Fahri Er
- Department of Cardiology, Agri State Hospital, Agri, Turkey
| | - Hilal Çakır
- Department of Internal Medicine, Pendik State Hospital, Istanbul, Turkey
| | - Ali Karagöz
- Department of Cardiology, Kartal Kosuyolu Cardiovascular Research and Training Hospital, Health Sciences University, Istanbul, Turkey
| | - Fatih Yılmaz
- Department of Cardiology, Kartal Kosuyolu Cardiovascular Research and Training Hospital, Health Sciences University, Istanbul, Turkey
| | - Lütfi Öcal
- Department of Cardiology, Kartal Kosuyolu Cardiovascular Research and Training Hospital, Health Sciences University, Istanbul, Turkey
| | - Regayip Zehir
- Department of Cardiology, Kartal Kosuyolu Cardiovascular Research and Training Hospital, Health Sciences University, Istanbul, Turkey
| | - Mehmet Yunus Emiroğlu
- Department of Cardiology, Kartal Kosuyolu Cardiovascular Research and Training Hospital, Health Sciences University, Istanbul, Turkey
| | - Mehmet Demir
- Department of Cardiology, Bursa Yuksek Ihtisas Training and Research Hospital, Health Sciences University, Bursa, Turkey
| | - Cihangir Kaymaz
- Department of Cardiology, Kartal Kosuyolu Cardiovascular Research and Training Hospital, Health Sciences University, Istanbul, Turkey
| | - Erhan Tenekecioğlu
- Department of Cardiology, Bursa Yuksek Ihtisas Training and Research Hospital, Health Sciences University, Bursa, Turkey
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23
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Tsiptsios D, Leontidou E, Fountoulakis PN, Ouranidis A, Matziridis A, Manolis A, Triantafyllis AS, Tsamakis K, Serdari A, Terzoudi A, Dragioti E, Steiropoulos P, Tripsianis G. Association between sleep insufficiency and dyslipidemia: a cross-sectional study among Greek adults in the primary care setting. Sleep Sci 2022; 15:49-58. [PMID: 35273747 PMCID: PMC8889970 DOI: 10.5935/1984-0063.20200124] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 03/08/2021] [Indexed: 11/20/2022] Open
Abstract
Objective To investigate the potential association between sleep insufficiency and dyslipidemia (DL) in the primary care setting using self-reported questionnaires. Material and Methods 957 adults aged between 19 and 86 years old from the rural area of Thrace, Greece were enrolled in this cross-sectional study. Multistage stratifed cluster sampling was used and the subjects were classifed into three groups according to sleep duration [short (<6h), normal (6-8h), and long (>8h) sleep duration]. DL was defined by a positive response to the question "Have you ever been told by a doctor or health professional that your blood cholesterol or triglyceride levels were high?", or if they were currently taking antilipidemic agents. Sleep quality, utilizing Epworth sleepiness scale, Athens insomnia scale, Pittsburgh sleep quality index and Berlin questionnaire, was also examined. Results DL prevalence was significantly associated with short sleep duration (aOR=2.18, p<0.001) and insomnia (aOR=1.43, p=0.050), while its relation with poor sleep quality (aOR=1.31, p=0.094) and risk for obstructive sleep apnea (aOR=1.32, p=0.097) were of marginal statistical significance. Concerning insomnia subtypes, DL was significantly associated with difficulties maintaining sleep (aOR=2.99, p<0.001) and early morning awakenings (aOR=1.38, p=0.050), but not difficulties initiating sleep (aOR=1.18, p=0.328). Conclusion This study reveals an association between sleep pathology and DL. Thus, early pharmacological and cognitive or behavioral interventions that improve sleep are deemed necessary in order to decrease DL burden.
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Affiliation(s)
- Dimitrios Tsiptsios
- South Tyneside & Sunderland NHS Foundation Trust, Department of Clinical Neurophysiology - Sunderland - Tyne & Wear - United Kingdom
| | - Eleni Leontidou
- Democritus University of Thrace, Laboratory of Medical Statistics - Alexandroupolis - Thrace - Greece
| | | | - Andreas Ouranidis
- Aristotle University of Thessaloniki, Department of Pharmaceutics - Thessaloniki - Central Macedonia - Greece
| | - Anestis Matziridis
- Democritus University of Thrace, Laboratory of Medical Statistics - Alexandroupolis - Thrace - Greece
| | - Apostolos Manolis
- Democritus University of Thrace, Laboratory of Medical Statistics - Alexandroupolis - Thrace - Greece
| | | | - Konstantinos Tsamakis
- King’s College, Institute of Psychiatry, Psychology and Neuroscience - London - London - United Kingdom
| | - Aspasia Serdari
- Democritus University of Thrace, Department of Child and Adolescent Psychiatry - Alexandroupolis - Thrace - Greece
| | - Aikaterini Terzoudi
- Democritus University of Thrace, Neurology Department - Alexandroupolis - Thrace - Greece
| | - Elena Dragioti
- Linköping University, Department of Health, Medicine and Caring Sciences - Linköping - Linköping - Sweden
| | - Paschalis Steiropoulos
- Democritus University of Thrace, Department of Pneumonology - Alexandroupolis - Thrace - Greece
| | - Gregory Tripsianis
- Democritus University of Thrace, Laboratory of Medical Statistics - Alexandroupolis - Thrace - Greece
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24
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Katsuura-Kamano S, Arisawa K, Uemura H, Van Nguyen T, Takezaki T, Ibusuki R, Suzuki S, Otani T, Okada R, Kubo Y, Tamura T, Hishida A, Koyama T, Matsui D, Kuriki K, Takashima N, Miyagawa N, Ikezaki H, Matsumoto Y, Nishida Y, Shimanoe C, Oze I, Matsuo K, Mikami H, Kusakabe M, Takeuchi K, Wakai K. Association of skipping breakfast and short sleep duration with the prevalence of metabolic syndrome in the general Japanese population: Baseline data from the Japan Multi-Institutional Collaborative cohort study. Prev Med Rep 2021; 24:101613. [PMID: 34976669 PMCID: PMC8683995 DOI: 10.1016/j.pmedr.2021.101613] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 10/14/2021] [Accepted: 10/22/2021] [Indexed: 11/26/2022] Open
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25
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Pienaar PR, Roden LC, Boot CRL, van Mechelen W, Twisk JWR, Lambert EV, Rae DE. Association between self-reported sleep duration and cardiometabolic risk in corporate executives. Int Arch Occup Environ Health 2021; 94:1809-1821. [PMID: 34189625 DOI: 10.1007/s00420-021-01739-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Accepted: 03/03/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE This cross-sectional study aimed to compare the association between self-reported sleep duration and cardiometabolic risk among men and women corporate executives and investigate potential lifestyle, work- and stress-related mediators thereof. METHODS Self-reported sleep duration and lifestyle, occupational, psychological and measured anthropometrical, blood pressure (BP) and blood marker variables were obtained from health risk assessment data of 3583 corporate executives. Sex-stratified regression analyses investigated the relationships between occupational and psychological variables with self-reported sleep duration, and sleep duration with individual cardiometabolic risk factors. Mediation analyses investigated the effects of work, psychological and lifestyle factors on the relationships between self-reported sleep duration and cardiometabolic risk factors, as well as a continuous cardiometabolic risk score calculated from the sum of sex-stratified z-standardized scores of negative fasting serum HDL, and positive plasma Glu, serum TG, body mass index (BMI), waist circumference, systolic and diastolic BP. RESULTS Longer work hours and work commute time, depression, anxiety and stress were associated with shorter sleep duration in both men and women (all p < 0.05). Shorter sleep duration was associated with higher BMI, larger waist circumference and greater cardiometabolic risk scores in both men and women (all p < 0.05), higher diastolic BP in men (p < 0.05) and lower HDL cholesterol in women (p < 0.05). Physical activity, working hours and stress significantly mediated the relationships between self-reported sleep duration and BMI, waist circumference, diastolic BP and cardiometabolic risk score in men only. CONCLUSION In these corporate executives, shorter self-reported sleep duration is associated with poorer psychological, occupational and cardiometabolic risk outcomes in both men and women. Given that physical activity, working hours and stress mediate this association among the men, the case for sleep health interventions in workplace health programmes is warranted.
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Affiliation(s)
- Paula R Pienaar
- Health Through Physical Activity Lifestyle and Sport Research Centre and Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
- Amsterdam UMC, Department of Public and Occupational Health and Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands.
| | - Laura C Roden
- Health Through Physical Activity Lifestyle and Sport Research Centre and Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- School of Life Sciences, Faculty of Health and Life Sciences, Coventry University, Coventry, CV1 2DS, UK
| | - Cécile R L Boot
- Amsterdam UMC, Department of Public and Occupational Health and Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
- Behavioural Science Institute (BSI), Radboud University, Nijmegen, The Netherlands
| | - Willem van Mechelen
- Health Through Physical Activity Lifestyle and Sport Research Centre and Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- Amsterdam UMC, Department of Public and Occupational Health and Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Van der Boechorststraat 7, 1081 BT, Amsterdam, The Netherlands
- Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, University of Queensland, Brisbane, Australia
- School of Public Health, Physiotherapy and Population Sciences, University College Dublin, Dublin, Ireland
- Center of Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Jos W R Twisk
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Estelle V Lambert
- Health Through Physical Activity Lifestyle and Sport Research Centre and Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Dale E Rae
- Health Through Physical Activity Lifestyle and Sport Research Centre and Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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26
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Meguro K, Svensson T, Chung UI, Svensson AK. Associations of work-related stress and total sleep time with cholesterol levels in an occupational cohort of Japanese office workers. J Occup Health 2021; 63:e12275. [PMID: 34679211 PMCID: PMC8535434 DOI: 10.1002/1348-9585.12275] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 08/04/2021] [Accepted: 08/09/2021] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVE The aim of the study was to investigate the associations of total sleep time (TST) and occupational stress based on the Brief Job Stress Questionnaire (BJSQ) with cholesterol levels in an occupational cohort of Japanese office workers. METHODS The present study is a secondary analysis of a subset of participants from a randomized controlled trial. Participants were 179 employees from 5 companies in Tokyo who participated as the intervention group in a 3-month lifestyle intervention study among office workers with metabolic syndrome or at risk of metabolic syndrome. All intervention-group participants used a mobile app and a wearable device. The final population for analysis in the present study were 173 participants. Cholesterol measures were derived from participants' annual health check-up data in the fiscal year preceding their inclusion in the study. Multiple linear regression models were used to determine the association between exposures and outcome. RESULTS Overall, stress levels were significantly and inversely associated with LDL-C (-7.12 mg/dl; 95% CI: -11.78, -2.45) and LDL-C/HDL-C ratio (-0.16 mg/dl; 95% CI: -0.27, -0.04) per standard deviation increase. Compared to average TST 5.9-7.2 hours, average TST of 4.0-5.3 hours (-4.82 mg/dl; 95% CI: -9.22, -0.43) was inversely associated with HDL-C. CONCLUSION Incremental increases of stress were significantly and inversely associated with LDL-C and LDL-C/HDL-C ratio. The shortest average TST was inversely associated with HDL-C. The results should be interpreted with care given certain methodological limitations.
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Affiliation(s)
- Keiko Meguro
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Bunkyo, Japan.,School of Health Innovation, Kanagawa University of Human Services Graduate School, Kawasaki, Japan
| | - Thomas Svensson
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Bunkyo, Japan.,School of Health Innovation, Kanagawa University of Human Services Graduate School, Kawasaki, Japan.,Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Ung-Il Chung
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Bunkyo, Japan.,School of Health Innovation, Kanagawa University of Human Services Graduate School, Kawasaki, Japan.,Clinical Biotechnology, Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, Bunkyo, Japan
| | - Akiko K Svensson
- Precision Health, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Bunkyo, Japan.,Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden.,Department of Diabetes and Metabolic Diseases, The University of Tokyo, Bunkyo, Japan
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27
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Zhang B, Wang Y, Liu X, Zhai Z, Sun J, Yang J, Li Y, Wang C. The association of sleep quality and night sleep duration with coronary heart disease in a large-scale rural population. Sleep Med 2021; 87:233-240. [PMID: 34644677 DOI: 10.1016/j.sleep.2021.09.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 08/14/2021] [Accepted: 09/15/2021] [Indexed: 11/16/2022]
Abstract
OBJECTIVE The purposes of the present study were to explore independent and interactive associations between night sleep duration, night sleep quality and coronary heart disease (CHD) based on a rural population in China. METHODS A total of 27,935 participants (11,177 men and 16,758 women) were investigated from the Henan Rural Cohort. Information about sleep was assessed by using the Pittsburgh Sleep Quality Index (PSQI). Restricted cubic splines and logistic regression were used to estimate the relationship between night sleep duration and quality with CHD. RESULT Among the 27,935 participants, 1506 participants with CHD were identified. Compared with participants with scores lower than 3, the odds ratios (ORs) and 95% confidence intervals (95% CIs) of participants with score of 3-5, 6-8, ≥9 were respectively 1.42 (1.24-1.63), 1.99 (1.70-2.33), and 2.56 (2.13-3.08) with full adjustment of covariates. Compared with night sleep duration of 7 h, men and women who slept less than 5 h were 1.55 (1.11-2.17), 1.12 (0.59-2.12) and 1.80 (1.20-2.68), after being adjusted ORs (95% CIs) of the total. Moreover, the ORs and 95% CIs of CHD increased with the shortening of sleep duration at PSQI score above the highlighted levels. CONCLUSION Poor sleep quality and short night sleep duration were all associated with CHD in Chinese rural areas. Moreover, the association was more obvious in women. In addition, the strongest prevalence of CHD was found in short sleepers with poor sleep quality.
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Affiliation(s)
- Bin Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yan Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Zhihan Zhai
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jiaqi Sun
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Jing Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Yuqian Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China; Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, Henan, PR China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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28
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Jeon SY, Kim JL. Caregiving for a Spouse with Cognitive Impairment: Effects on Nutrition and Other Lifestyle Factors. J Alzheimers Dis 2021; 84:995-1003. [PMID: 34602480 DOI: 10.3233/jad-210694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Being a spousal caregiver (SCG) for a patient with cognitive impairment is well known to be associated with increased risk for dementia and cognitive decline. OBJECTIVE This study examined the impact of the care recipient's cognitive status on lifestyle factors influencing cognitive decline in SCGs, focusing on nutritional status and blood biomarkers. METHODS Fifty-one SCGs participated (mean age 73.5±7.0 years) in this study. All participants underwent clinical assessment including the Mini Nutritional Assessment (MNA), Geriatric Depression Scale, Pittsburgh Sleep Quality Index, and International Physical Activity Questionnaire to evaluate lifestyle factors, and the Mini-Mental State Examination to assess global cognition. Also, nutritional blood biomarkers were measured. RESULTS SCGs caring for a demented spouse showed significantly higher depression scores (t = -3.608, p = 0.001) and malnutrition risk (t = 2.894, p = 0.006). Decreased care recipients' cognition was significantly correlated with higher GDS (β= -0.593, t = -4.471, p < 0.001) and higher MNA scores (β= 0.315, t = 2.225, p = 0.031) and lower level of high-density lipoprotein (HDL) cholesterol (β= 0.383, t = 2.613, p = 0.012) in their SCGs. Gender had moderating effects on association of care recipients' cognition with sleep quality (B[SE] = 0.400[0.189], p = 0.041) and HDL cholesterol (B[SE] = -1.137[0.500], p = 0.028) among SCGs. Poorer care-recipient cognition was associated with worse sleep quality and low HDL cholesterol among wives but not husband caregivers. CONCLUSION This study provides substantial evidence that SCGs are at risk for depression and malnutrition, which can further affect cognitive decline. As such, these factors should be well assessed and monitored among SCGs for patient with cognitive impairment.
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Affiliation(s)
- So Yeon Jeon
- >Department of Psychiatry, Chungnam National University Hospital, Daejeon, Republic of Korea
| | - Jeong Lan Kim
- >Department of Psychiatry, Chungnam National University Hospital, Daejeon, Republic of Korea.,Department of Psychiatry, School of Medicine, Chungnam National University, Daejeon, Republic of Korea
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29
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Zhang W, Sun Q, Chen B, Basta M, Xu C, Li Y. Insomnia symptoms are associated with metabolic syndrome in patients with severe psychiatric disorders. Sleep Med 2021; 83:168-174. [PMID: 34022493 DOI: 10.1016/j.sleep.2021.03.030] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 03/17/2021] [Accepted: 03/26/2021] [Indexed: 02/05/2023]
Abstract
OBJECTIVE To examine the relationship between insomnia symptoms and metabolic syndrome in patients with severe psychiatric disorders. METHODS We conducted a cross-sectional study including 272 inpatients (mean age: 34.06 ± 11.52 years, 67.3% males) with severe psychiatric disorders consecutively admitted in Shantou University Mental Health Center Inpatient Department. All patients underwent a psychiatric evaluation. Insomnia symptoms were assessed by the Pittsburgh Sleep Quality Index (PSQI) and defined present if PSQI>7. The diagnosis of metabolic syndrome was defined using the new International Diabetes Federation definition based on clinical and laboratory evaluation. RESULTS Among the 272 patients, 94 (34.6%) presented insomnia symptoms. Overall, patients with insomnia symptoms had significantly higher percentage of metabolic syndrome (23.4% vs. 12.4%, p = 0.019) and hypertriglyceridemia (30.9% vs. 19.1%, p = 0.029), and marginally significantly higher levels of fasting insulin (58.75 ± 37.22 pmol/L vs. 51.72 ± 34.09 pmol/L, p = 0.050), homeostasis model assessment of insulin resistance (1.83 ± 1.31 vs. 1.62 ± 1.25, p = 0.055) and percentage of insulin resistance (55.3% vs. 44.4%, p = 0.086) compared to those without insomnia symptoms. Multiple logistic regressions showed that patients with insomnia symptoms had significantly higher odds for metabolic syndrome [odds ratio (OR) = 2.99, 95% confidence interval (CI) = 1.25-7.14], central obesity (OR = 3.02, 95% CI = 1.18-7.76), hypertriglyceridemia (OR = 2.46, 95% CI = 1.28-4.76) and marginally significantly higher odds for insulin resistance (OR = 1.68, 95% CI = 0.93-3.02) after controlling for potential confounders. CONCLUSIONS Within severely mentally ill patients, insomnia symptoms are associated with metabolic syndrome and insulin resistance. It appears that insomnia symptoms are independent clinical indicators of underlying metabolic syndrome in patients with severe psychiatric disorders.
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Affiliation(s)
- Wenjuan Zhang
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Qimeng Sun
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Baixin Chen
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Maria Basta
- Department of Psychiatry, University Hospital of Heraklion, Heraklion, Crete, Greece
| | - Chongtao Xu
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Yun Li
- Department of Sleep Medicine, Shantou University Mental Health Center, Shantou, Guangdong, China; Sleep Medicine Center, Shantou University Medical College, Shantou, Guangdong, China.
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30
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Bos MM, Goulding NJ, Lee MA, Hofman A, Bot M, Pool R, Vijfhuizen LS, Zhang X, Li C, Mustafa R, Neville MJ, Li-Gao R, Trompet S, Beekman M, Biermasz NR, Boomsma DI, de Boer I, Christodoulides C, Dehghan A, van Dijk KW, Ford I, Ghanbari M, Heijmans BT, Ikram MA, Jukema JW, Mook-Kanamori DO, Karpe F, Luik AI, Lumey LH, van den Maagdenberg AMJM, Mooijaart SP, de Mutsert R, Penninx BWJH, Rensen PCN, Richmond RC, Rosendaal FR, Sattar N, Schoevers RA, Slagboom PE, Terwindt GM, Thesing CS, Wade KH, Wijsman CA, Willemsen G, Zwinderman AH, van Heemst D, Noordam R, Lawlor DA. Investigating the relationships between unfavourable habitual sleep and metabolomic traits: evidence from multi-cohort multivariable regression and Mendelian randomization analyses. BMC Med 2021; 19:69. [PMID: 33731105 PMCID: PMC7971964 DOI: 10.1186/s12916-021-01939-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 02/11/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Sleep traits are associated with cardiometabolic disease risk, with evidence from Mendelian randomization (MR) suggesting that insomnia symptoms and shorter sleep duration increase coronary artery disease risk. We combined adjusted multivariable regression (AMV) and MR analyses of phenotypes of unfavourable sleep on 113 metabolomic traits to investigate possible biochemical mechanisms linking sleep to cardiovascular disease. METHODS We used AMV (N = 17,368) combined with two-sample MR (N = 38,618) to examine effects of self-reported insomnia symptoms, total habitual sleep duration, and chronotype on 113 metabolomic traits. The AMV analyses were conducted on data from 10 cohorts of mostly Europeans, adjusted for age, sex, and body mass index. For the MR analyses, we used summary results from published European-ancestry genome-wide association studies of self-reported sleep traits and of nuclear magnetic resonance (NMR) serum metabolites. We used the inverse-variance weighted (IVW) method and complemented this with sensitivity analyses to assess MR assumptions. RESULTS We found consistent evidence from AMV and MR analyses for associations of usual vs. sometimes/rare/never insomnia symptoms with lower citrate (- 0.08 standard deviation (SD)[95% confidence interval (CI) - 0.12, - 0.03] in AMV and - 0.03SD [- 0.07, - 0.003] in MR), higher glycoprotein acetyls (0.08SD [95% CI 0.03, 0.12] in AMV and 0.06SD [0.03, 0.10) in MR]), lower total very large HDL particles (- 0.04SD [- 0.08, 0.00] in AMV and - 0.05SD [- 0.09, - 0.02] in MR), and lower phospholipids in very large HDL particles (- 0.04SD [- 0.08, 0.002] in AMV and - 0.05SD [- 0.08, - 0.02] in MR). Longer total sleep duration associated with higher creatinine concentrations using both methods (0.02SD per 1 h [0.01, 0.03] in AMV and 0.15SD [0.02, 0.29] in MR) and with isoleucine in MR analyses (0.22SD [0.08, 0.35]). No consistent evidence was observed for effects of chronotype on metabolomic measures. CONCLUSIONS Whilst our results suggested that unfavourable sleep traits may not cause widespread metabolic disruption, some notable effects were observed. The evidence for possible effects of insomnia symptoms on glycoprotein acetyls and citrate and longer total sleep duration on creatinine and isoleucine might explain some of the effects, found in MR analyses of these sleep traits on coronary heart disease, which warrant further investigation.
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Affiliation(s)
- Maxime M Bos
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Neil J Goulding
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew A Lee
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Amy Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mariska Bot
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands
| | - René Pool
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lisanne S Vijfhuizen
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Xiang Zhang
- Department of Experimental Vascular Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Human and Animal Physiology, Wageningen University, Wageningen, The Netherlands
| | - Chihua Li
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
| | - Rima Mustafa
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Matt J Neville
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Stella Trompet
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Nienke R Biermasz
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
| | - Dorret I Boomsma
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Irene de Boer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Constantinos Christodoulides
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Dementia Research Institute at Imperial College London, London, W2 1PG, UK
- MRC Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - Ko Willems van Dijk
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Ian Ford
- Robertson Center for Biostatistics, University of Glasgow, Glasgow, UK
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
- Netherlands Heart Institute, Utrecht, The Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, The Netherlands
| | - Fredrik Karpe
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals Foundation Trust, Oxford, UK
- Radcliffe Department of Medicine, Oxford Centre for Diabetes, Endocrinology, and Metabolism, University of Oxford, Oxford, UK
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L H Lumey
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - Arn M J M van den Maagdenberg
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Simon P Mooijaart
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Brenda W J H Penninx
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands
| | - Patrick C N Rensen
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, UK
| | - Robert A Schoevers
- Department of Psychiatry, Groningen, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Carisha S Thesing
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health research institute, Amsterdam, The Netherlands
| | - Kaitlin H Wade
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Carolien A Wijsman
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Gonneke Willemsen
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Aeilko H Zwinderman
- Department of Clinical Epidemiology, Biostatistics, and Bioinformatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, PO Box 9600, 2300 RC, Leiden, The Netherlands.
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
- NIHR Bristol Biomedical Research Centre, Bristol, UK.
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Caffo O, Ralston PA, Lemacks JL, Young-Clark I, Wickrama KKAS, Ilich JZ. Sex and Body Circumferences Associated with Serum Leptin in African American Adults. J Womens Health (Larchmt) 2021; 30:1769-1777. [PMID: 33661054 DOI: 10.1089/jwh.2020.8820] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Objective: Cardiovascular disease (CVD) continues to be a leading cause of death for U.S. adults, especially African Americans (AA). Yet, few studies have examined a comprehensive set of metabolic health and health behavior factors related to CVD risk in this population. This study investigated the relationship between serum leptin and anthropometries (body mass index [BMI], circumferences [waist-WC, hip-HC, and waist/hip ratio W/H]), metabolic health (systolic and diastolic blood pressure [BP], serum lipids, glucose, and C-reactive protein [CRP]), and health behaviors (hours of sleep, physical activity) in midlife and older AAs. Materials and Methods: Participants (n = 89, ≥45 years of age) were AAs in six churches in North Florida enrolled in a broader church-based longitudinal study. Anthropometric measurements, serum analyses, and self-reported items. Results: Serum leptin was positively correlated with gender (being female) (r = 0.623, p < 0.001), BMI log transformed (r = 0.469, p < 0.001), WC (r = 0.440, p < 0.001), HC (r = 0.658, p < 0.001), use of BP medication (r = 0.216, p < 0.05), and serum CRP (r = 0.277, p < 0.01). Correlations by sex showed significant relationships for both men and women between leptin and BMI log transformed, WC, and HC. The final multiple regression model [R2 = 0.758, F(4, 66) = 55.871, p < 0.001] showed that 75.8% of the variance in leptin was explained by being female (β = 0.65, p < 0.001), WC (β = 0.26, p < 0.02), and HC (β = 0.28, p < 0.01). Conclusions: Findings more specifically delineate the variables associated with serum leptin in AAs, particularly WC and HC, and suggest greater attention to possible risk for leptin resistance in AA females. Clinical Trial Registration: This study is registered at www.clinicaltrials.gov NCT03339050.
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Affiliation(s)
- Olenka Caffo
- College of Medicine, Florida State University, Tallahassee, Florida, USA
| | - Penny A Ralston
- Center on Better Health and Life for Underserved Populations, Florida State University, Tallahassee, Florida, USA
| | - Jennifer L Lemacks
- School of Kinesiology and Nutrition, University of Southern Mississippi, Hattiesburg, Mississippi, USA
| | - Iris Young-Clark
- Center on Better Health and Life for Underserved Populations, Florida State University, Tallahassee, Florida, USA
| | | | - Jasminka Z Ilich
- Institute for Successful Longevity, Consulting Faculty, Center on Better Health and Life for Underserved Populations, Florida State University, Tallahassee, Florida, USA
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Wu X, Liu X, Liao W, Kang N, Sang S, Abdulai T, Zhai Z, Wang C, Wang X, Li Y. Association of Night Sleep Duration and Ideal Cardiovascular Health in Rural China: The Henan Rural Cohort Study. Front Public Health 2021; 8:606458. [PMID: 33505951 PMCID: PMC7830879 DOI: 10.3389/fpubh.2020.606458] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 12/09/2020] [Indexed: 11/16/2022] Open
Abstract
Introduction: We aimed to explore the association between night sleep duration and ideal cardiovascular health (ICH) among Chinese rural population. Methods: In all, 35,094 participants were included from the Henan Rural Cohort study. Information on sleep was collected using the Pittsburgh Sleep Quality Index. The ICH scores were evaluated. The associations between night sleep duration and ICH were examined using both linear regression and logistic regression models. Results: The mean night sleep duration for all participants was 7.75 ± 1.28 h. Compared with those with night sleep duration of 7 to <9 h by using linear regression model, a significant decrease in ICH scores was observed for participants with shorter [−0.077 (−0.131, −0.024)] and longer [−0.079 (−0.121, −0.036)] night sleep duration. Compared with 7 to <9 h, longer sleep duration [0.919 (0.851, 0.992)] were associated with decreased odds of ideal CVH. Conclusions: Shorter and longer night sleep duration are negatively associated with ICH among rural population. This suggests that it may be beneficial to include night sleep duration assessment in cardiovascular risk screening.
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Affiliation(s)
- Xueyan Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Shengxiang Sang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Tanko Abdulai
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhihan Zhai
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xiaoqiong Wang
- Department of Economics, School of Business, Zhengzhou University, Zhengzhou, China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, China
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Izumida T, Nakamura Y, Sato Y, Ishikawa S. The Association between Sleeping Pill Use and Metabolic Syndrome in an Apparently Healthy Population in Japan: JMS-II Cohort Study. J Epidemiol 2020; 32:145-150. [PMID: 33162423 PMCID: PMC8824657 DOI: 10.2188/jea.je20200361] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background Sleeping pills are widely used for sleep disorders and insomnia. This population-based study aimed to evaluate the association between the use of sleeping pills and metabolic syndrome (MetS) and metabolic components in an apparently healthy Japanese cohort. Methods We examined baseline cross-sectional data from the JMS-II Cohort Study. The criteria for MetS and its components were based on The National Cholesterol Education Program Adult Treatment Panel III. Sleep habits including the sleep duration of the subjects and the frequency of sleeping pill use were obtained using The Pittsburgh Sleep Quality Index questionnaire. For different sleep durations, the association between sleeping pill use and MetS was assessed. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated using multiple logistic regression models to quantify this association. Results Our study included 6,153 individuals (mean age, 63.8 [standard deviation 11.2] years), and 3,348 (54.4%) among them were women. The association between sleep duration and MetS was an inverted J-shaped curve among sleeping pill users and a J-shaped curve among non-users. After adjustment for various confounders, less than 6 h of sleep among sleeping pill users was associated with increased rates of MetS (<6 h, OR 3.08; 95% CI, 1.29–7.34]). The frequency of sleeping pill use in individuals with short sleep duration showed a positive association with the prevalence of MetS and its components. Conclusions Sleeping pill users with a short sleep duration had a 3-fold higher chance of having MetS than non-users with a short sleep duration.
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Affiliation(s)
- Toshihide Izumida
- Division of Community Medicine, Kanawaza Medical University Himi Municipal Hospital
| | - Yosikazu Nakamura
- Division of Public Health, Center for Community Medicine, Jichi Medical University
| | | | - Shizukiyo Ishikawa
- Division of Public Health, Center for Community Medicine, Jichi Medical University
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Matsui K, Kuriyama K, Yoshiike T, Nagao K, Ayabe N, Komada Y, Okajima I, Ito W, Ishigooka J, Nishimura K, Inoue Y. The effect of short or long sleep duration on quality of life and depression: an internet-based survey in Japan. Sleep Med 2020; 76:80-85. [PMID: 33120132 DOI: 10.1016/j.sleep.2020.10.012] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 09/17/2020] [Accepted: 10/13/2020] [Indexed: 01/04/2023]
Abstract
BACKGROUND To date, no previous studies have evaluated the relationship between sleep duration and quality of life (QOL) or depression in the general population after controlling for daytime sleepiness and sleep disturbances. METHODS A web-based cross-sectional survey was conducted with 8698 subjects aged 20-69 years. We examined the relationships between weekday sleep duration and daytime sleepiness, sleep disturbance, QOL and depression, using the Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index (without the item for sleep duration), 8-item Short Form and Center for Epidemiological Studies Depression Scale (CES-D). RESULTS Daytime sleepiness tended to increase in proportion to shorter weekday sleep durations. Sleep disturbances, physical and mental QOL, and CES-D scores were worse in both the shorter and longer sleep groups compared with the group with 7-8 h of sleep. Hierarchical logistic regression analyses revealed that short sleep duration but not long sleep duration was significantly associated with reduction of both physical and mental QOL, even after controlling for the presence of daytime sleepiness and sleep disturbance. Both short and long sleep duration were independently and significantly correlated with depression after controlling for daytime sleepiness; however, there was no statistically significant association after adjusting for the effects of sleep disturbance. CONCLUSIONS The results suggested adverse effects of short sleep but not long sleep on both physical and mental QOL. In addition, the negative impact of specific types of sleep disturbance on depression may be greater than the impact of shortening of sleep duration.
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Affiliation(s)
- Kentaro Matsui
- Department of Clinical Laboratory, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo 1878551, Japan; Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo 1878551, Japan; Japan Somnology Center, Neuropsychiatric Research Institute, Tokyo 1510053, Japan; Department of Psychiatry, Tokyo Women's Medical University, Tokyo 1628666, Japan.
| | - Kenichi Kuriyama
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo 1878551, Japan.
| | - Takuya Yoshiike
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo 1878551, Japan.
| | - Kentaro Nagao
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo 1878551, Japan.
| | - Naoko Ayabe
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo 1878551, Japan.
| | - Yoko Komada
- Liberal Arts, Meiji Pharmaceutical University, Tokyo 2048588, Japan.
| | - Isa Okajima
- Department of Psychological Counseling, Faculty of Humanities, Tokyo Kasei University, Tokyo 1730003, Japan.
| | - Wakako Ito
- Japan Somnology Center, Neuropsychiatric Research Institute, Tokyo 1510053, Japan.
| | - Jun Ishigooka
- Institute of CNS Pharmacology, Tokyo 1510051, Japan.
| | - Katsuji Nishimura
- Department of Psychiatry, Tokyo Women's Medical University, Tokyo 1628666, Japan.
| | - Yuichi Inoue
- Japan Somnology Center, Neuropsychiatric Research Institute, Tokyo 1510053, Japan; Department of Somnology, Tokyo Medical University, Tokyo 1608402, Japan.
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Szmyd B, Rogut M, Białasiewicz P, Gabryelska A. The impact of glucocorticoids and statins on sleep quality. Sleep Med Rev 2020; 55:101380. [PMID: 33010620 DOI: 10.1016/j.smrv.2020.101380] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 06/01/2020] [Accepted: 06/09/2020] [Indexed: 12/14/2022]
Abstract
Glucocorticoids and statins are the foundation of lifelong therapies and as such, may generate a variety of side effects. Among these, sleep impairments are one of the least explored and, simultaneously, majorly underestimated in clinical practice. Based on the available evidence, we have concluded that glucocorticoid action on the suprachiasmatic nucleus (SCN) that drives sleep disturbances is dual in nature. It involves both serotonin depletion and reduced arginine vasopressin signalling in the SCN. The former seems to involve activation of glucocorticoid receptors in the dorsal raphe, whereas the latter likely results from changes in glucose serum levels affecting the SCN, among other blood-borne factors which are yet to be discovered. Literature remains inconclusive when it comes to statins. Their diverse potential to cross the blood-brain barrier is considered the key factor determining statins' capability to evoke sleep impairments. Concurrently, an effect similar to that produced by steroids occurs - alteration in serum levels of blood-borne factors, such as glucose, which is a likely cause of statin-induced sleep disturbances.
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Affiliation(s)
- Bartosz Szmyd
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Poland
| | - Magdalena Rogut
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Poland
| | - Piotr Białasiewicz
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Poland
| | - Agata Gabryelska
- Department of Sleep Medicine and Metabolic Disorders, Medical University of Lodz, Poland.
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Song Q, Liu X, Zhou W, Wu S, Wang X. Night sleep duration and risk of each lipid profile abnormality in a Chinese population: a prospective cohort study. Lipids Health Dis 2020; 19:185. [PMID: 32799877 PMCID: PMC7429803 DOI: 10.1186/s12944-020-01363-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 08/10/2020] [Indexed: 01/28/2023] Open
Abstract
Background To explore the associations between sleep duration and abnormalities in serum lipid levels in a Chinese population. Methods A prospective study was conducted with 34,260 participants from the general Chinese population. Sleep duration was categorized as ≤5, 6, 7, 8 or ≥ 9 h. Each lipid profile abnormality was defined according to the Chinese Guidelines for the Prevention and Treatment of Dyslipidemia in Adults (2016). The Cox proportional hazards model was used to assess the association between sleep duration and dyslipidemia. Results Compared with a 7 h sleep duration, long sleep duration (≥9 h) was significantly associated with low high-density lipoprotein cholesterol (HDL-C) levels (hazard ratio (HR): 1.24; 95% CI: 1.12–1.38). In subgroup analyses, the positive association between long sleep duration and low HDL-C level in men and in the different age groups was more pronounced than the association in women. No significant interactions were observed in the association between sleep duration and each abnormal serum lipid level by sex/age in the study population (P-interaction> 0.05). Conclusions These findings suggest that long sleep duration is associated with low HDL-C level among the Kailuan community population.
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Affiliation(s)
- Qiaofeng Song
- Department of Cardiology, Tangshan People's Hospital, North China University of Science and Technology, No.65 Shengli Road, Lunan District, Tangshan, 063000, China
| | - Xiaoxue Liu
- Department of Cardiology, Tangshan People's Hospital, North China University of Science and Technology, No.65 Shengli Road, Lunan District, Tangshan, 063000, China
| | - Wenhua Zhou
- Department of Cardiology, Tangshan People's Hospital, North China University of Science and Technology, No.65 Shengli Road, Lunan District, Tangshan, 063000, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, 063000, China.
| | - Xizhu Wang
- Department of Cardiology, Tangshan People's Hospital, North China University of Science and Technology, No.65 Shengli Road, Lunan District, Tangshan, 063000, China.
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Sleep disturbances: one of the culprits of obesity-related cardiovascular risk? INTERNATIONAL JOURNAL OF OBESITY SUPPLEMENTS 2020; 10:62-72. [PMID: 32714513 DOI: 10.1038/s41367-020-0019-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Growing evidence suggested that Sleep Disorders (SD) could increase the risk of developing obesity and could contribute to worsen obesity-related cardiovascular risk. Further, obesity per se has been reported to blunt sleep homeostasis. This happens through several mechanisms. First of all, the excessive adipose tissue at neck and chest levels could represent a mechanical obstacle to breathe. Moreover, the visceral adipose tissue is known to release cytokines contributing to low-grade chronic inflammation that could impair the circadian rhythm. Also, nutrition plays an important role in sleep homeostasis. High fat and/or high carbohydrate diets are known to have a negative impact on both sleep quality and duration. In addition, obesity predisposes to a condition called "obstructive sleep apnea" that has a detrimental effect on sleep. SD could increase the risk and/or could contribute to worsen cardiovascular risk usually associated with obesity. The chronic low grade inflammation associated with obesity has been reported to increase the risk of developing hypertension, type 2 diabetes and dyslipidemia. In turn, improving quality of sleep has been reported to improve the management of these cardiovascular risk factors. Thus, the aim of this manuscript is to provide evidence on the association of obesity and SD and on how they could contribute to the risk of developing cardiovascular risk factors such as hypertension, dyslipidemia and type 2 diabetes in obesity.
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Seixas AA, Moore J, Chung A, Robbins R, Grandner M, Rogers A, Williams NJ, Jean-Louis G. Benefits of Community-Based Approaches in Assessing and Addressing Sleep Health and Sleep-Related Cardiovascular Disease Risk: a Precision and Personalized Population Health Approach. Curr Hypertens Rep 2020; 22:52. [PMID: 32671477 DOI: 10.1007/s11906-020-01051-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
PURPOSE OF REVIEW In this current review, we describe the benefits of community-based and "precision and personalized population health" (P3H) approaches to assessing and addressing sleep health problems and sleep-related cardiovascular diseases (CVD) among vulnerable populations such as racial/ethnic minorities, the elderly, and the socioeconomically disadvantaged. RECENT FINDINGS Very few sleep health programs utilize a community-based or P3H approach, which may account for low estimates of sleep health problems, related CVD outcomes, and inadequate healthcare infrastructure to address sleep-related health outcomes at the community and population level. We describe community-based and P3H approaches and programs as solutions to accurately capture estimates of sleep health and reduce burden of sleep health problems and corollary CVD outcomes at the level of the community and population. Specifically, we describe seven critical steps needed to successfully implement a community-based and P3H approach to address sleep health problems. Community-based and P3H approaches are effective strategies to assessing and addressing sleep health problems and related health conditions.
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Affiliation(s)
- Azizi A Seixas
- Department of Population Health, NYU Langone Health, 180 Madison Avenue, New York, NY, 10016, USA. .,Department of Psychiatry, NYU Langone Health, 180 Park Avenue, New York, NY, 10016, USA.
| | - Jesse Moore
- Department of Population Health, NYU Langone Health, 180 Madison Avenue, New York, NY, 10016, USA
| | - Alicia Chung
- Department of Population Health, NYU Langone Health, 180 Madison Avenue, New York, NY, 10016, USA
| | - Rebecca Robbins
- Brigham and Women's Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Michael Grandner
- University of Arizona College of Medicine, Tucson, AZ, 85721, USA
| | | | - Natasha J Williams
- Department of Population Health, NYU Langone Health, 180 Madison Avenue, New York, NY, 10016, USA
| | - Girardin Jean-Louis
- Department of Population Health, NYU Langone Health, 180 Madison Avenue, New York, NY, 10016, USA.,Department of Psychiatry, NYU Langone Health, 180 Park Avenue, New York, NY, 10016, USA
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Martucci M, Conte M, Ostan R, Chiariello A, Miele F, Franceschi C, Salvioli S, Santoro A, Provini F. Both objective and paradoxical insomnia elicit a stress response involving mitokine production. Aging (Albany NY) 2020; 12:10497-10505. [PMID: 32420904 PMCID: PMC7346035 DOI: 10.18632/aging.103274] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 04/28/2020] [Indexed: 01/02/2023]
Abstract
Chronic insomnia is the most common sleep disorder in the elderly population. From 9 to 50% of patients suffer of paradoxical insomnia, with the same symptoms and ailments, though characterized by normal sleep patterns. We have investigated the level of parameters related to stress in a group of post-menopausal female patients (age range 55-70 years) suffering by either objective or paradoxical insomnia, in particular we have measured 24-hours urinary cortisol, allostatic load index, Perceived Stress Scale (PSS) score, and, for the first time, mitokines (mitochondrial stress response molecules) such as FGF21, GDF15 and Humanin (HN). Results show that the two groups are different as far as sleep efficiency score, as expected, but not for stress parameters, that in some cases resulted within the normality range, although quite close to the top threshold (such as cortisol) or much higher with respect to normality ranges (such as PSS). Therefore, the consequences of paradoxical insomnia on the expression of these parameters are the same as objective insomnia. As far as the level of mitokines, we showed that FGF21 and HN in particular resulted altered (decreased and increased, respectively) with respect to control population, however with no difference between the two groups of patients.
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Affiliation(s)
- Morena Martucci
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Maria Conte
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy
| | - Rita Ostan
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Antonio Chiariello
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Filomena Miele
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Claudio Franceschi
- Laboratory of Systems Medicine of Healthy Aging and Department of Applied Mathematics, Lobachevsky University, Nizhny Novgorod, Russia
| | - Stefano Salvioli
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.,Alma Mater Research Institute on Global Challenges and Climate Change (Alma Climate), University of Bologna, Bologna, Italy
| | - Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Federica Provini
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.,Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
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Yang L, Ma L, Guo W, Fang Q, Lai X, Zhang X. Interaction of polymorphisms in APOA4-APOA5-ZPR1-BUD13 gene cluster and sleep duration on 5-year lipid changes in middle aged and older Chinese. Sleep 2020; 42:5513402. [PMID: 31181149 DOI: 10.1093/sleep/zsz115] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 03/24/2019] [Indexed: 12/31/2022] Open
Abstract
STUDY OBJECTIVES Lipid profiles are influenced by both genetic and environmental factors. Genetic variants in the APOA4-APOA5-ZPR1-BUD13 gene cluster and aberrant sleep duration were independently identified to be associated with lipids in previous studies. We aimed to investigate whether sleep duration modified the genetic associations with longitudinal lipids changes. METHODS Four single nucleotide polymorphisms (SNPs), rs17119975, rs651821, rs7396835, and rs964184 in the APOA4-APOA5-ZPR1-BUD13 gene cluster were genotyped among 8648 apparently healthy subjects from the Dongfeng-Tongji (DFTJ) cohort. Information on sleep duration was obtained by questionnaires. Changes in total cholesterol, triglyceride, high-density lipoprotein cholesterol (HDL-c), low-density lipoprotein cholesterol (LDL-c), were evaluated from baseline to 5-year follow-up. RESULTS After multivariate adjustments, we found that rs651821 and weighted genetic risk score (GRS) were significantly associated with increased triglyceride, and the genetic association with triglyceride change consistently strengthened across sleep duration categories. The differences in triglyceride changes per increment of risk allele for rs651821 were 0.028 (SE = 0.017, p = 0.112), 0.051 (SE = 0.009, p < 0.001), and 0.064 (SE = 0.016, p < 0.001) in individuals with sleep duration ≤7, >7-<9, and ≥9 h, respectively (p interaction = 0.031). The GRS also showed a significant interaction with sleep duration categories for triglyceride change (p interaction = 0.010). In addition, all of the four SNPs and GRS were inversely related to HDL-c changes. CONCLUSIONS Longer sleep duration might exacerbate the adverse effects of SNPs in APOA4-APOA5-ZPR1-BUD13 gene cluster on 5-year triglyceride changes.
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Affiliation(s)
- Liangle Yang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lin Ma
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenting Guo
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qin Fang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuefeng Lai
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Manousaki D, Barnett TA, Mathieu ME, Maximova K, Simoneau G, Harnois-Leblanc S, Benedetti A, McGrath JJ, Henderson M. Tune out and turn in: the influence of television viewing and sleep on lipid profiles in children. Int J Obes (Lond) 2020; 44:1173-1184. [PMID: 32203106 DOI: 10.1038/s41366-020-0527-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 12/20/2019] [Accepted: 01/07/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND/OBJECTIVES Physical activity is beneficial to lipid profiles; however, the association between sedentary behavior and sleep and pediatric dyslipidemia remains unclear. We aimed to investigate whether sedentary behavior or sleep predicted lipid profiles in children over a 2-year period. SUBJECTS/METHODS Six hundered and thirty children from the QUALITY cohort, with at least one obese parent, were assessed prospectively at ages 8-10 and 10-12 years. Measures of sedentary behavior included self-reported TV viewing and computer/video game use. Seven-day accelerometry was used to derive sedentary behavior and sleep duration. Adiposity was assessed using DEXA scans. Twenty-four-hour dietary recalls yielded estimates of carbohydrate and fat intake. Outcomes included fasting total cholesterol, triglycerides, HDL and LDL-cholesterol. Multivariable models were adjusted for adiposity and diet. RESULTS At both Visit 1 (median age 9.6 year) and Visit 2 (median age 11.6 year), children were of normal weight (55%), overweight (22%), or obese (22%). Every additional hour of TV viewing at Visit 1 was associated with a 7.0% triglyceride increase (95% CI: 3.5, 10.6; P < 0.01) and 2.6% HDL decrease (95% CI: -4.2, -0.9; P < 0.01) at Visit 2; findings remained significant after adjusting for adiposity and diet. Every additional hour of sleep at Visit 1 predicted a 4.8% LDL decrease (95% CI: -9.0, -0.5; P = 0.03) at Visit 2, after adjusting for fat intake; this association became nonsignificant once controlling for adiposity. CONCLUSIONS Longer screen time during childhood appears to deteriorate lipid profiles in early adolescence, even after accounting for other major lifestyle habits. There is preliminary evidence of a deleterious effect of shorter sleep duration, which should be considered in further studies.
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Affiliation(s)
- Despoina Manousaki
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada.,Department of Human Genetics, McGill University, Montreal, QC, Canada
| | - Tracie A Barnett
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada.,Department of Family Medicine, McGill University, Montreal, QC, Canada.,Epidemiology and Biostatistics Unit, INRS-Institut Armand-Frappier, Laval, QC, Canada
| | - Marie-Eve Mathieu
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada.,Department of Kinesiology, University of Montreal, Montreal, QC, Canada
| | - Katerina Maximova
- School of Public Health, University of Alberta, Edmonton, AB, Canada
| | - Gabrielle Simoneau
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada.,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Soren Harnois-Leblanc
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada.,Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montreal, QC, Canada
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada.,Department of Medicine, Respiratory epidemiology and clinical research unit, McGill University Health Centre, McGill University, Montréal, QC, Canada
| | - Jennifer J McGrath
- PERFORM Centre & Department of Psychology, Concordia University, Montréal, QC, Canada
| | - Mélanie Henderson
- CHU Sainte-Justine Research Center, University of Montreal, Montreal, QC, Canada. .,Department of Pediatrics, University of Montreal, Montreal, QC, Canada.
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Wang L, Li J, Du Y, Sun T, Na L, Wang Z. The relationship between sleep onset time and cardiometabolic biomarkers in Chinese communities: a cross-sectional study. BMC Public Health 2020; 20:374. [PMID: 32197597 PMCID: PMC7085179 DOI: 10.1186/s12889-020-08516-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Accepted: 03/12/2020] [Indexed: 11/17/2022] Open
Abstract
Background Late sleep onset time (SOT) is a common social phenomenon in modern society, and it was associated with a higher risk of obesity. However, the literature gap exists about the SOT and cardiometabolic biomarkers which closely associated with obesity. The present study aimed to explore the association of SOT with cardiometabolic biomarkers in Chinese communities. Methods A cross-sectional study enrolled a total of 2418 participants was conducted in Ningxia province of China. The cardiometabolic biomarkers included triglyceride, total cholesterol, high-density lipoprotein, low-density lipoprotein and fasting plasma glucose were measured quantitatively using the standard method. The SOT and sleep duration were acquired by a self-report questionnaire. The multiple mixed-effect linear regression model was employed to examine the association. Results Binary analysis found an inverse association of SOT with high-density lipoprotein (β = − 0.05, 95%CI: − 0.06, − 0.03), with 1 h delayed in SOT the high-density lipoprotein decreased 0.05 mmol/L. After controlling for demographic variables, health-related behaviors, and physical health covariates, late SOT was associated with a higher level of triglyceride (β = 0.12, 95%CI: 0.06, 0.18), a higher level of low-density lipoprotein (β = 0.06, 95% CI: 0.02, 0.09), and a lower level of high-density lipoprotein (β = − 0.05, 95% CI: − 0.06, − 0.03). when stratified by sleep duration (less than eight hours vs. eight and longer hours), a positive association between SOT and LDL (β = 0.08, 95% CI: 0.04, 0.12) was found among participants with sleep duration eight hours and longer. Conclusion Late sleep onset time with the negative effect on the cardiometabolic biomarkers, and individuals with late SOT coupled with longer sleep duration may take risk of a higher level of low-density lipoprotein which in turn lead to increase the risk of cardiovascular disease.
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Affiliation(s)
- Liqun Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China
| | - Jiangping Li
- School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China
| | - Yong Du
- Surgical Laboratory of General Hospital, Ningxia Medical University, Yinchuan, 750004, China.,School of Clinical Medicine, Ningxia Medical University, Yinchuan, 750004, China
| | - Ting Sun
- Surgical Laboratory of General Hospital, Ningxia Medical University, Yinchuan, 750004, China
| | - Li Na
- Surgical Laboratory of General Hospital, Ningxia Medical University, Yinchuan, 750004, China
| | - Zhizhong Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, 750004, China.
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Yazdanpanah MH, Homayounfar R, Khademi A, Zarei F, Shahidi A, Farjam M. Short sleep is associated with higher prevalence and increased predicted risk of cardiovascular diseases in an Iranian population: Fasa PERSIAN Cohort Study. Sci Rep 2020; 10:4608. [PMID: 32165672 PMCID: PMC7067883 DOI: 10.1038/s41598-020-61506-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 02/27/2020] [Indexed: 12/19/2022] Open
Abstract
Cardiovascular disease (CVD) is the leading cause of death worldwide. One common factor that may affect CVD risk factors is sleep disturbance. The factors influencing an individual's sleep may vary among different cultures. The current study investigated sleep quality and quantity in the Fasa cohort population as an Iranian population. In a cross-sectional study using the Fasa PERSIAN cohort study data, 10,129 subjects aged 35-70 were entered. Self-reported sleep duration and cardiovascular events were recorded. The Framingham risk score (FRS) is used to predict cardiovascular events. Adjusted logistic regression showed significant odds ratios in subjects who sleep less than 6 hours for CVD (OR = 1.23; 95% CI:1.03-1.48), coronary heart disease (CHD) (OR = 1.21; 95% CI:1.009-1.46), and hypertension (HTN) (OR = 1.37; 95% CI:1.16-1.62). Higher risk profiles were also seen in the FRS for short sleepers. The highest significant odds ratios in FRS profiles in the intermediate high-risk group compared with the low-risk group were (1.44; 95% CI:1.18-1.75) in CVD and (1.48; 95% CI:1.16-1.88) in CHD risk score profiles. It can be suggested that participants with short durations of sleep had significantly higher CVD, HTN prevalence, and 10-year FRS. Participants with long sleep durations had no increase in CVD, CHD, myocardial infarction (MI), or HTN prevalence. MI prevalence was at the lowest level in subjects who got 8 to 8.9 hours of sleep.
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Affiliation(s)
| | - Reza Homayounfar
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Ali Khademi
- Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran
| | - Fariba Zarei
- Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran
| | - Ali Shahidi
- Student Research Committee, Fasa University of Medical Sciences, Fasa, Iran
| | - Mojtaba Farjam
- Noncommunicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran.
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Sparks JR, Porter RR, Youngstedt SD, Bowyer KP, Durstine JL, Wang X. Effects of moderate sleep restriction during 8-week calorie restriction on lipoprotein particles and glucose metabolism. SLEEP ADVANCES 2020; 1:zpab001. [PMID: 33644759 PMCID: PMC7898726 DOI: 10.1093/sleepadvances/zpab001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 01/08/2021] [Indexed: 11/15/2022]
Abstract
Abstract
Study Objectives
This study examined how glucose, glucose regulatory hormones, insulin sensitivity, and lipoprotein subclass particle concentrations and sizes change with sleep restriction during weight loss elicited by calorie restriction.
Methods
Overweight or obese adults were randomized into an 8-week calorie restriction intervention alone (CR, n = 12; 75% female; body mass index = 31.4 ± 2.9 kg/m2) or combined with sleep restriction (CR+SR, n = 16; 75% female; body mass index = 34.5 ± 3.1 kg/m2). Participants in both groups were given the same instructions to reduce calorie intake. Those in the CR+SR group were instructed to reduce their habitual time-in-bed by 30–90 minutes 5 days each week with 2 ad libitum sleep days. Fasting venous blood samples were collected at pre- and post-intervention.
Results
Differential changes were found between the two groups (p = 0.028 for group × time interaction) in glucagon concentration, which decreased in the CR group (p = 0.016) but did not change in CR+SR group. Although changes in mean HDL particle (HDL-P) size and visfatin concentration were not statistically different between groups (p = 0.066 and 0.066 for group×time interaction, respectively), mean HDL-P size decreased only in the CR+SR group (Cohen’s d = 0.50, p = 0.022); visfatin concentrations did not change significantly in either group but appeared to decrease in the CR group (Cohen’s d = 0.67, p = 0.170) but not in the CR+SR group (Cohen’s d = 0.43, p = 0.225).
Conclusion
These results suggest that moderate sleep restriction, despite the presence of periodic ad libitum sleep, influences lipoprotein subclass particles and glucose regulation in individuals undergoing calorie restriction.
Clinical trial registration: ClinicalTrials.gov (NCT02413866, Weight Outlooks by Restriction of Diet and Sleep)
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Affiliation(s)
- Joshua R Sparks
- Department of Exercise Science, University of South Carolina, Columbia, SC
| | - Ryan R Porter
- Department of Exercise Science, University of South Carolina, Columbia, SC
| | - Shawn D Youngstedt
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ
| | - Kimberly P Bowyer
- Department of Exercise Science, University of South Carolina, Columbia, SC
| | - J Larry Durstine
- Department of Exercise Science, University of South Carolina, Columbia, SC
| | - Xuewen Wang
- Department of Exercise Science, University of South Carolina, Columbia, SC
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Metabolic Effects of Fasting and Animal Source Food Avoidance in an Ethiopian Adult Cohort. Sci Rep 2019; 9:16964. [PMID: 31740698 PMCID: PMC6861246 DOI: 10.1038/s41598-019-53185-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Accepted: 10/23/2019] [Indexed: 12/11/2022] Open
Abstract
Fasting is a religious practice to which the faithful comply strictly. The longest period of fasting in Orthodox religion is the lent (in Ethiopia known as “Hudade”). According to the doctrine of Ethiopian Orthodox Christianity, fasters should strictly avoid all animal source foods (ASF) and skip breakfast at least up to lunch time. This can be taken as a well-controlled natural experiment to evaluate the effect of breakfast skipping and avoidance of ASF for 55 days. However, there is no study that evaluated the effect of ASF fasting (avoidance of animal source foods and breakfast skipping) on lipid profiles, fasting blood sugar and body composition in Ethiopian set up. A retrospective cohort study was carried out among 704 employees of Jimma University (253 fasters and 451 non-fasters) from February 2015 to April 2015. Data on socio-demographic, anthropometry, blood pressure and blood samples were collected according to WHO STEPS procedure. Descriptive statistics and multivariable linear regression models were used to compare the effect of fasting on outcome variables. There was a significant difference in the body fat percent (mean ± sd) between non-fasters (32.35 ± 11.12) and fasters (30.59 ± 11.22, P = 0.045). Similarly, the mean ± sd waist circumference was higher among non-fasters (84.96 ± 11.43 cm) compared to fasters (83.04 ± 11.43 cm, P < 0.033). High density lipoprotein was significantly (P = 0.001) high among fasters (68.29 mg/dl) compared to non-fasters (57.24 mg/dl). Total cholesterol (T.chol) was also higher among non- fasters (181.01 mg/dl) than fasters (173.80 mg/dl, P = 0.035). The mean Triglyceride level was significantly (P = 0.035) high among non-fasters (142.76 mg/dl) compared to fasters (129.39 mg/dl). Similarly, fasting blood sugar was high among non-fasters (100.14 mg/dl) compared to fasters (95.11 mg/dl), P = 0.009. On multivariable linear regression analyses after adjusting for different variables, fasters had a significantly high mean HDL and lower mean T.chol, Triglycerides, FBS and LDL levels. Similarly, fasters had a significantly low mean waist circumference and low mean body fat percent (P < 0.05). In conclusion, animal source food avoidanceand breakfast skipping has a significant desirable health effects on lipid profiles, fasting blood sugar and body composition. The findings imply the need for considering such a dietary practice as a basis for public health promotion. Future research should investigate the effect of ASF fasting and breakfast skipping on micronutrient intake and determine the minimum number of days of fasting required to generate clinically significant effects.
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Meng M, Jiang Y, Zhu L, Wang G, Lin Q, Sun W, Song Y, Dong S, Deng Y, Rong T, Zhu Q, Mei H, Jiang F. Effect of maternal sleep in late pregnancy on leptin and lipid levels in umbilical cord blood. Sleep Med 2019; 77:376-383. [PMID: 32839086 DOI: 10.1016/j.sleep.2019.11.1194] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 10/31/2019] [Accepted: 11/05/2019] [Indexed: 12/24/2022]
Abstract
OBJECTIVES To study the impact of maternal sleep in late pregnancy on birth weight (BW) and leptin and lipid levels in umbilical cord blood. STUDY DESIGN A total of 277 healthy and singleton pregnancy women were recruited for participation in the Shanghai Sleep Birth Cohort Study (SSBC) during their 36-38 weeks of pregnancy, from May 2012 to July 2013. Maternal night sleep time (NST), sleep efficiency (SE), sleep onset latency (SOL) and the percentage of wake after sleep onset (WASO) in NST and midpoint of sleep (MSF) were measured by actigraphy for seven consecutive days. The leptin and lipid levels were determined in cord blood samples collected from the umbilical vein immediately after delivery. Birth information (birth weight, gender, delivery type, etc.) was extracted from medical records. A multivariable linear regression model was applied to examine the effect of maternal sleep in late pregnancy on newborn leptin and lipid levels in umbilical cord blood. RESULTS A total of 177 women and their infants were included in the analysis. Maternal mean NST was 7.03 ± 1.10 h in late pregnancy, and 48% had a shorter sleep time (NST < 7 h). The average maternal SE was 72.54% ± 9.66%. The mean percentage WASO/NST was 21.62% ± 9.98%; the average MSF was about 3:34 (0:53); and the SOL was 46.78 ± 36.00 min. After adjustment for confounders, both maternal NST and SE were found to be significantly associated with triglyceride levels (β = -0.219, p = 0.006; β = -0.224, p = 0.006) in umbilical cord blood; and maternal NST was also observed to have positive association with newborn leptin levels (β = 0.146, p = 0.047). However, we did not find significant association between other maternal sleep parameters in late pregnancy and leptin and lipid levels and birth weight. CONCLUSIONS Short sleep duration and poor sleep quality during late pregnancy were associated with newborn leptin and lipid levels, and efforts on improving maternal sleep during late pregnancy should be advocated for children's health.
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Affiliation(s)
- Min Meng
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Yanrui Jiang
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Lixia Zhu
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Guanghai Wang
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Qingmin Lin
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Wanqi Sun
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Yuanjin Song
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Shumei Dong
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Yujiao Deng
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Tingyu Rong
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Qi Zhu
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Hao Mei
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Data Science, School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA
| | - Fan Jiang
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China.
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47
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Noordam R, Bos MM, Wang H, Winkler TW, Bentley AR, Kilpeläinen TO, de Vries PS, Sung YJ, Schwander K, Cade BE, Manning A, Aschard H, Brown MR, Chen H, Franceschini N, Musani SK, Richard M, Vojinovic D, Aslibekyan S, Bartz TM, de Las Fuentes L, Feitosa M, Horimoto AR, Ilkov M, Kho M, Kraja A, Li C, Lim E, Liu Y, Mook-Kanamori DO, Rankinen T, Tajuddin SM, van der Spek A, Wang Z, Marten J, Laville V, Alver M, Evangelou E, Graff ME, He M, Kühnel B, Lyytikäinen LP, Marques-Vidal P, Nolte IM, Palmer ND, Rauramaa R, Shu XO, Snieder H, Weiss S, Wen W, Yanek LR, Adolfo C, Ballantyne C, Bielak L, Biermasz NR, Boerwinkle E, Dimou N, Eiriksdottir G, Gao C, Gharib SA, Gottlieb DJ, Haba-Rubio J, Harris TB, Heikkinen S, Heinzer R, Hixson JE, Homuth G, Ikram MA, Komulainen P, Krieger JE, Lee J, Liu J, Lohman KK, Luik AI, Mägi R, Martin LW, Meitinger T, Metspalu A, Milaneschi Y, Nalls MA, O'Connell J, Peters A, Peyser P, Raitakari OT, Reiner AP, Rensen PCN, Rice TK, Rich SS, Roenneberg T, Rotter JI, Schreiner PJ, Shikany J, Sidney SS, Sims M, Sitlani CM, Sofer T, Strauch K, Swertz MA, Taylor KD, Uitterlinden AG, van Duijn CM, Völzke H, Waldenberger M, Wallance RB, van Dijk KW, Yu C, Zonderman AB, Becker DM, Elliott P, Esko T, Gieger C, Grabe HJ, Lakka TA, Lehtimäki T, North KE, Penninx BWJH, Vollenweider P, Wagenknecht LE, Wu T, Xiang YB, Zheng W, Arnett DK, Bouchard C, Evans MK, Gudnason V, Kardia S, Kelly TN, Kritchevsky SB, Loos RJF, Pereira AC, Province M, Psaty BM, Rotimi C, Zhu X, Amin N, Cupples LA, Fornage M, Fox EF, Guo X, Gauderman WJ, Rice K, Kooperberg C, Munroe PB, Liu CT, Morrison AC, Rao DC, van Heemst D, Redline S. Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration. Nat Commun 2019; 10:5121. [PMID: 31719535 PMCID: PMC6851116 DOI: 10.1038/s41467-019-12958-0] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 10/04/2019] [Indexed: 12/12/2022] Open
Abstract
Both short and long sleep are associated with an adverse lipid profile, likely through different biological pathways. To elucidate the biology of sleep-associated adverse lipid profile, we conduct multi-ancestry genome-wide sleep-SNP interaction analyses on three lipid traits (HDL-c, LDL-c and triglycerides). In the total study sample (discovery + replication) of 126,926 individuals from 5 different ancestry groups, when considering either long or short total sleep time interactions in joint analyses, we identify 49 previously unreported lipid loci, and 10 additional previously unreported lipid loci in a restricted sample of European-ancestry cohorts. In addition, we identify new gene-sleep interactions for known lipid loci such as LPL and PCSK9. The previously unreported lipid loci have a modest explained variance in lipid levels: most notable, gene-short-sleep interactions explain 4.25% of the variance in triglyceride level. Collectively, these findings contribute to our understanding of the biological mechanisms involved in sleep-associated adverse lipid profiles. Sleep duration is associated with an adverse lipid profile. Here, the authors perform genome-wide gene-by-sleep interaction analysis and find 49 previously unreported lipid loci when considering short or long total sleep time.
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Affiliation(s)
- Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands.
| | - Maxime M Bos
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Heming Wang
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, 2200, Denmark.,Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Karen Schwander
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Alisa Manning
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hugues Aschard
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.,Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, France
| | - Michael R Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Center for Precision Health, School of Public Health & School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Solomon K Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Melissa Richard
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dina Vojinovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, WA, USA
| | - Lisa de Las Fuentes
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.,Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Mary Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrea R Horimoto
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | | | - Minjung Kho
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Aldi Kraja
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Changwei Li
- Epidemiology and Biostatistics, University of Georgia at Athens College of Public Health, Athens, GA, USA
| | - Elise Lim
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yongmei Liu
- Public Health Sciences, Epidemiology and Prevention, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands.,Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, Netherlands
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Salman M Tajuddin
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Ashley van der Spek
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Zhe Wang
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jonathan Marten
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Vincent Laville
- Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur, Paris, France
| | - Maris Alver
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.,Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.,Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | - Maria E Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Meian He
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.,Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Pedro Marques-Vidal
- Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Ilja M Nolte
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | | | - Rainer Rauramaa
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Harold Snieder
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Lisa R Yanek
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Correa Adolfo
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Christie Ballantyne
- Section of Cardiovascular Research, Baylor College of Medicine, Houston, TX, USA.,Houston Methodist Debakey Heart and Vascular Center, Houston, TX, USA
| | - Larry Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Nienke R Biermasz
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden, The Netherlands
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Niki Dimou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
| | | | - Chuan Gao
- Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sina A Gharib
- Computational Medicine Core, Center for Lung Biology, UW Medicine Sleep Center, Medicine, University of Washington, Seattle, WA, USA
| | - Daniel J Gottlieb
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,VA Boston Healthcare System, Boston, MA, USA
| | - José Haba-Rubio
- Medicine, Sleep Laboratory, Lausanne University Hospital, Lausanne, Switzerland
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Sami Heikkinen
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland.,Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland
| | - Raphaël Heinzer
- Medicine, Sleep Laboratory, Lausanne University Hospital, Lausanne, Switzerland
| | - James E Hixson
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Pirjo Komulainen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Jose E Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Jingmin Liu
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, WA, USA
| | - Kurt K Lohman
- Public Health Sciences, Biostatistical Sciences, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Lisa W Martin
- Cardiology, School of Medicine and Health Sciences, George Washington University, Washington, D.C., USA
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.,Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Yuri Milaneschi
- Cardiology, School of Medicine and Health Sciences, George Washington University, Washington, D.C., USA
| | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA.,Data Tecnica International, Glen Echo, MD, USA
| | - Jeff O'Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA.,Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Neuherberg, Germany
| | - Patricia Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.,University of Turku, Turku, Finland
| | - Alex P Reiner
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, WA, USA
| | - Patrick C N Rensen
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden, The Netherlands
| | - Treva K Rice
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Till Roenneberg
- Institute of Medical Psychology, Ludwig-Maximilians-Universitat Munchen, Munich, Germany
| | - Jerome I Rotter
- Genomic Outcomes, Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CC, USA
| | - Pamela J Schreiner
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - James Shikany
- Division of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Stephen S Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Mario Sims
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Medicine, University of Washington, Seattle, WA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.,Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute for Medical Informatics Biometry and Epidemiology, Ludwig-Maximilians-Universitat Munchen, Munich, Germany
| | - Morris A Swertz
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - Kent D Taylor
- Genomic Outcomes, Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CC, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Neuherberg, Germany
| | - Robert B Wallance
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, IA, USA
| | - Ko Willems van Dijk
- Department of Internal Medicine, Division of Endocrinology, Leiden University Medical Center, Leiden, The Netherlands.,Einthoven Laboratory for Experimental Vascular Medicine, Leiden, The Netherlands.,Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Caizheng Yu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Alan B Zonderman
- Behavioral Epidemiology Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Diane M Becker
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Paul Elliott
- Department of Biotechnology, Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia.,MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.,National Institute of Health Research Imperial College London Biomedical Research Centre, London, UK.,UK-DRI Dementia Research Institute at Imperial College London, London, UK
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia.,Broad Institute of the Massachusetts Institute of Technology and Harvard University, Boston, MA, USA
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Hans J Grabe
- Department Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Timo A Lakka
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland.,Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio Campus, Finland.,Department of Clinical Phsiology and Nuclear Medicine, Kuopia University Hospital, Kuopio, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.,Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Peter Vollenweider
- Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Lynne E Wagenknecht
- Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Tangchun Wu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yong-Bing Xiang
- SKLORG & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, P. R. China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Donna K Arnett
- Dean's Office, University of Kentucky College of Public Health, Lexington, KS, USA
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Michele K Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Sharon Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Tanika N Kelly
- Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Stephen B Kritchevsky
- Sticht Center for Healthy Aging and Rehabilitation, Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.,The Mindich Child Health Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alexandre C Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, São Paulo, SP, Brazil
| | - Mike Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Epidemiology, Medicine and Health Services, University of Washington, Seattle, WA, USA.,Kaiser Permanente Washington, Health Research Institute, Seattle, WA, USA
| | - Charles Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Xiaofeng Zhu
- Department of Population Quantitative and Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,NHLBI Framingham Heart Study, Framingham, MA, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Ervin F Fox
- Cardiology, Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Xiuqing Guo
- Genomic Outcomes, Department of Pediatrics, Institute for Translational Genomics and Population Sciences, LABioMed at Harbor-UCLA Medical Center, Torrance, CC, USA
| | - W James Gauderman
- Biostatistics, Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Charles Kooperberg
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, WA, USA
| | - Patricia B Munroe
- Clinical Pharmacology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.,NIHR Barts Cardiovascular Biomedical Research Centre, Queen Mary University of London, London, London, UK
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Diana van Heemst
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA. .,Division of Pulmonary Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
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48
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Ness KM, Strayer SM, Nahmod NG, Schade MM, Chang AM, Shearer GC, Buxton OM. Four nights of sleep restriction suppress the postprandial lipemic response and decrease satiety. J Lipid Res 2019; 60:1935-1945. [PMID: 31484696 DOI: 10.1194/jlr.p094375] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Revised: 08/20/2019] [Indexed: 12/16/2022] Open
Abstract
Chronic sleep restriction, or inadequate sleep, is associated with increased risk of cardiometabolic disease. Laboratory studies demonstrate that sleep restriction causes impaired whole-body insulin sensitivity and glucose disposal. Evidence suggests that inadequate sleep also impairs adipose tissue insulin sensitivity and the NEFA rebound during intravenous glucose tolerance tests, yet no studies have examined the effects of sleep restriction on high-fat meal lipemia. We assessed the effect of 5 h time in bed (TIB) per night for four consecutive nights on postprandial lipemia following a standardized high-fat dinner (HFD). Furthermore, we assessed whether one night of recovery sleep (10 h TIB) was sufficient to restore postprandial metabolism to baseline. We found that postprandial triglyceride (TG) area under the curve was suppressed by sleep restriction (P = 0.01), but returned to baseline values following one night of recovery. Sleep restriction decreased NEFAs throughout the HFD (P = 0.02) and NEFAs remained suppressed in the recovery condition (P = 0.04). Sleep restriction also decreased participant-reported fullness or satiety (P = 0.03), and decreased postprandial interleukin-6 (P < 0.01). Our findings indicate that four nights of 5 h TIB per night impair postprandial lipemia and that one night of recovery sleep may be adequate for recovery of TG metabolism, but not for markers of adipocyte function.
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Affiliation(s)
- Kelly M Ness
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802.,Departments of Biobehavioral Health Pennsylvania State University, University Park, PA 16802.,Nutritional Sciences, Pennsylvania State University, University Park, PA 16802
| | - Stephen M Strayer
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802.,Departments of Biobehavioral Health Pennsylvania State University, University Park, PA 16802
| | - Nicole G Nahmod
- Departments of Biobehavioral Health Pennsylvania State University, University Park, PA 16802
| | - Margeaux M Schade
- Departments of Biobehavioral Health Pennsylvania State University, University Park, PA 16802
| | - Anne-Marie Chang
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802.,Departments of Biobehavioral Health Pennsylvania State University, University Park, PA 16802.,College of Nursing, Pennsylvania State University, University Park, PA 16802
| | - Gregory C Shearer
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802.,Nutritional Sciences, Pennsylvania State University, University Park, PA 16802
| | - Orfeu M Buxton
- Huck Institutes of the Life Sciences, Pennsylvania State University, University Park, PA 16802 .,Departments of Biobehavioral Health Pennsylvania State University, University Park, PA 16802.,Division of Sleep Medicine, Harvard Medical School, Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, and Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA 20115
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49
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Aimo A, Giannoni A, Vergaro G, Emdin M. Longer sleep duration and poor sleep quality as risk factors for hyperlipidaemia. Eur J Prev Cardiol 2019; 26:1285-1287. [DOI: 10.1177/2047487319848526] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Affiliation(s)
- Alberto Aimo
- Cardiology Division, University Hospital of Pisa, Italy
| | - Alberto Giannoni
- Institute of Life Sciences, Scuola Superiore Sant’Anna, Pisa, Italy
- Cardiology Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Giuseppe Vergaro
- Institute of Life Sciences, Scuola Superiore Sant’Anna, Pisa, Italy
- Cardiology Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
| | - Michele Emdin
- Institute of Life Sciences, Scuola Superiore Sant’Anna, Pisa, Italy
- Cardiology Department, Fondazione Toscana Gabriele Monasterio, Pisa, Italy
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50
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Smiley A, King D, Harezlak J, Dinh P, Bidulescu A. The association between sleep duration and lipid profiles: the NHANES 2013-2014. J Diabetes Metab Disord 2019; 18:315-322. [PMID: 31890656 DOI: 10.1007/s40200-019-00415-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Accepted: 05/27/2019] [Indexed: 12/21/2022]
Abstract
Background In the current literature, the association between sleep and different lipids is inconsistent. We aimed to assess the association of sleep with HDL cholesterol, triglyceride, and LDL cholesterol in the National Health and Nutrition Examination Survey (NHANES), 2013/2014. Methods We included 2705 participants from NHANES, 2013/2014. Cross-sectional information was measured on sleep duration and HDL cholesterol/triglyceride/LDL cholesterol. Generalized additive models (GAM) were constructed to assess the smooth relationship between the HDL cholesterol/triglyceride/LDL cholesterol, and the sleep duration. Models were adjusted for age, sex, race, marital status, household size, sitting time and physical activity. Effective degree of freedom (EDF) value in GAM indicated the amount of non-linearity of the smooth. EDF = 1 was indicative of a linear pattern of association. A value greater than 1 denoted a more complex association between outcome and sleep duration. Results The highest mean HDL cholesterol level was observed in participants sleeping 8 h/day. There was a significant non-linear association between sleep duration and HDL cholesterol in unadjusted GAM (EDF = 2.58, P = 0.002) and adjusted GAM (EDF = 1.85, P = 0.003). The lowest mean triglyceride level was observed in people sleeping 6 h/day. There was a significant non-linear association between sleep duration and triglyceride in unadjusted GAM (EDF = 3.05, P = 0.02) and adjusted GAM (EDF = 1.78, P = 0.02). There was no significant non-linear association between sleep duration and LDL cholesterol in either unadjusted GAM (EDF = 1.01, P = 0.2) or adjusted GAM (EDF = 1.01, P = 0.8). Conclusion Short sleep duration was associated with low HDL cholesterol/high triglyceride. Further longitudinal studies are warranted to shed extra light on this relationship.
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Affiliation(s)
- Abbas Smiley
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405 USA
| | - David King
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405 USA
| | - Jaroslaw Harezlak
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405 USA
| | - Paul Dinh
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405 USA
| | - Aurelian Bidulescu
- Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E 7th St., Bloomington, IN 47405 USA
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