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Liu J, Richmond RC, Anderson EL, Bowden J, Barry CJS, Dashti HS, Daghlas IS, Lane JM, Kyle SD, Vetter C, Morrison CL, Jones SE, Wood AR, Frayling TM, Wright AK, Carr MJ, Anderson SG, Emsley RA, Ray DW, Weedon MN, Saxena R, Rutter MK, Lawlor DA. The role of accelerometer-derived sleep traits on glycated haemoglobin and glucose levels: a Mendelian randomization study. Sci Rep 2024; 14:14962. [PMID: 38942746 PMCID: PMC11213880 DOI: 10.1038/s41598-024-58007-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 03/25/2024] [Indexed: 06/30/2024] Open
Abstract
Self-reported shorter/longer sleep duration, insomnia, and evening preference are associated with hyperglycaemia in observational analyses, with similar observations in small studies using accelerometer-derived sleep traits. Mendelian randomization (MR) studies support an effect of self-reported insomnia, but not others, on glycated haemoglobin (HbA1c). To explore potential effects, we used MR methods to assess effects of accelerometer-derived sleep traits (duration, mid-point least active 5-h, mid-point most active 10-h, sleep fragmentation, and efficiency) on HbA1c/glucose in European adults from the UK Biobank (UKB) (n = 73,797) and the MAGIC consortium (n = 146,806). Cross-trait linkage disequilibrium score regression was applied to determine genetic correlations across accelerometer-derived, self-reported sleep traits, and HbA1c/glucose. We found no causal effect of any accelerometer-derived sleep trait on HbA1c or glucose. Similar MR results for self-reported sleep traits in the UKB sub-sample with accelerometer-derived measures suggested our results were not explained by selection bias. Phenotypic and genetic correlation analyses suggested complex relationships between self-reported and accelerometer-derived traits indicating that they may reflect different types of exposure. These findings suggested accelerometer-derived sleep traits do not affect HbA1c. Accelerometer-derived measures of sleep duration and quality might not simply be 'objective' measures of self-reported sleep duration and insomnia, but rather captured different sleep characteristics.
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Affiliation(s)
- Junxi Liu
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
- Nuffield Department of Population Health, Oxford Population Health, University of Oxford, Oxford, UK.
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Emma L Anderson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Division of Psychiatry, University College of London, London, UK
| | - Jack Bowden
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- College of Medicine and Health, The University of Exeter, Exeter, UK
| | - Ciarrah-Jane S Barry
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Hassan S Dashti
- Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Iyas S Daghlas
- Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Jacqueline M Lane
- Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Simon D Kyle
- Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Céline Vetter
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Claire L Morrison
- Department of Psychology & Neuroscience and Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Samuel E Jones
- Institute for Molecular Medicine Finland, University of Helsinki, Uusimaa, Finland
| | - Andrew R Wood
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, UK
| | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, UK
| | - Alison K Wright
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Matthew J Carr
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- National Institute for Health Research (NIHR) Greater Manchester Patient Safety Translational Research Centre, University of Manchester, Manchester, UK
| | - Simon G Anderson
- George Alleyne Chronic Disease Research Centre, Caribbean Institute of Health Research, University of the West Indies, Kingston, Jamaica
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Richard A Emsley
- Department of Biostatistics and Health Informatics, King's College London, London, UK
| | - David W Ray
- Oxford Centre for Diabetes, Endocrinology and Metabolism, and Oxford Kavli Centre for Nanoscience Discovery, University of Oxford, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, and NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
| | - Michael N Weedon
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, UK
| | - Richa Saxena
- Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Anaesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martin K Rutter
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, NIHR Manchester Biomedical Research Centre, Manchester, UK
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Deborah A Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust and The University of Bristol, Bristol, UK
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Yang X, Zhuo S, Fang T. Interaction between dietary flavonoid intake and trouble sleeping on non-alcoholic fatty liver disease risk: a cross-sectional study. Eur J Gastroenterol Hepatol 2024; 36:210-219. [PMID: 38047726 DOI: 10.1097/meg.0000000000002687] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
OBJECTIVE The possible interaction of dietary flavonoid intake and sleep on non-alcoholic fatty liver disease (NAFLD) has not been well studied. This study investigated the interaction between dietary flavonoid intake and trouble sleeping on the risk of NAFLD. METHODS Three discrete National Health and Nutrition Examination Survey data cycles from 2007 to 2010 and 2017 to 2018 were used. NAFLD was diagnosed by a US Fatty Liver Index ≥30. A sleep questionnaire diagnosed trouble sleeping. Univariate and multivariate logistic regression, restricted cubic spline (RCS) and subgroup analyses were used to evaluate the association between dietary flavonoids, trouble sleeping and NAFLD. We employed the relative excess risk due to interaction, attributable proportion of interaction and synergy index to evaluate additive interactions. RESULTS Ultimately, 5056 participants were enrolled, and higher anthocyanidins and flavanones intake was negatively correlated with NAFLD. Conversely, trouble sleeping was positively associated with NAFLD. These correlations remained stable after adjusting for confounders, and there was a sex difference in this relationship. In the RCS model, anthocyanins were negatively non-linearly related to NAFLD, while flavanones showed a negative linear relationship. Moreover, there was a synergistic interplay between low dietary anthocyanin intake and trouble sleeping on the risk of NAFLD. A similar relationship existed for flavanone intake. CONCLUSION Anthocyanin and flavanone intake were negatively associated, whereas trouble sleeping was positively associated with NAFLD risk. There was a synergistic effect of low anthocyanin intake and trouble sleeping. The same relationship existed for low flavanone intake.
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Affiliation(s)
- Xinxia Yang
- Department of Gastroenterology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Shitu Zhuo
- Department of Neurology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Taiyong Fang
- Department of Gastroenterology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
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Price E, Li X, Xu Y, Mansuri A, McCall WV, Su S, Wang X. Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adults. Sci Rep 2023; 13:22114. [PMID: 38092889 PMCID: PMC10719297 DOI: 10.1038/s41598-023-49484-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 12/08/2023] [Indexed: 12/17/2023] Open
Abstract
Sleep variability (e.g. intra-individual variabilities in sleep duration or sleep timing, social jetlag, and catch-up sleep) is an important factor impacting health and mortality. However, limited information is available on the distribution of these sleep parameters across the human life span. We aimed to provide distribution of sleep variability related parameters across lifespan by sex and race in a national representative sample from the U.S. population. The study included 9981 participants 6 years and older from the National Health and Nutrition Examination Survey (NHANES) 2011-2014, who had 4-7 days of valid 24-h accelerometer recording with at least one day obtained during weekend (Friday or Saturday night). Of the study participants, 43% showed ≥ 60 min sleep duration standard deviation (SD), 51% experienced ≥ 60 min catch-up sleep, 20% showed ≥ 60 min sleep midpoint SD, and 43% experienced ≥ 60 min social jetlag. American youth and young adults averaged greater sleep variability compared to other age groups. Non-Hispanic Blacks showed greater sleep variability in all parameters compared to other racial groups. There was a main effect of sex on sleep midpoint SD and social jetlag with males averaging slightly more than females. Our study provides important observations on sleep variability parameters of residents of the United States by using objectively measured sleep patterns and will provide unique insights for personalized advice on sleep hygiene.
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Affiliation(s)
- Elexis Price
- Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Xinyue Li
- School of Data Science, City University of Hong Kong, Kowloon, Hong Kong, China
| | - Yanyan Xu
- Georgia Prevention Institute, Medical College of Georgia, Augusta University, Building HS-1721, Augusta, GA, 30912, USA
| | - Asifhusen Mansuri
- Division of Pediatric Nephrology and Hypertension, Children's Hospital of Georgia, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - William V McCall
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Shaoyong Su
- Georgia Prevention Institute, Medical College of Georgia, Augusta University, Building HS-1721, Augusta, GA, 30912, USA
| | - Xiaoling Wang
- Georgia Prevention Institute, Medical College of Georgia, Augusta University, Building HS-1721, Augusta, GA, 30912, USA.
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Price E, Li X, Xu Y, Mansuri A, McCall WV, Su S, Wang X. Age, sex and race distribution of accelerometer-derived sleep variability in US school-aged children and adults. RESEARCH SQUARE 2023:rs.3.rs-2927692. [PMID: 37292662 PMCID: PMC10246260 DOI: 10.21203/rs.3.rs-2927692/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Background Sleep variability (e.g. intra-individual variabilities in sleep duration or sleep timing, social jetlag, and catch-up sleep) is an important factor impacting health and mortality. However, limited information is available on the distribution of these sleep parameters across the human life span. We aimed to provide distribution of sleep variability related parameters across lifespan by sex and race in a national representative sample from the U.S. population. Methods The study included 9,799 participants 6 years and older from the National Health and Nutrition Examination Survey (NHANES) 2011-2014, who had at least 3 days of valid sleep parameters with at least one day obtained during weekend (Friday or Saturday night). These were calculated from 7-day 24-h accelerometer recordings. Results Of the study participants, 43% showed ≥ 60 minutes sleep duration standard deviation (SD), 51% experienced ≥ 60 minutes catch-up sleep, 20% showed ≥ 60 minutes midpoint of sleep SD, and 43% experienced ≥ 60 minutes social jetlag. American youth and young adults averaged greater sleep variability compared to other age groups. Non-Hispanic Blacks showed greater sleep variability in all parameters compared to other racial groups. There was a main effect of sex on sleep midpoint SD and social jetlag with males averaging slightly more than females. Conclusion Our study provides important observations on sleep irregularity parameters of residents of the United States by using objectively measured sleep patterns and will provide unique insights for personalized advice on sleep hygiene.
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Affiliation(s)
| | | | - Yanyan Xu
- Georgia Prevention Institute, Augusta University
| | | | | | - Shaoyong Su
- Georgia Prevention Institute, Augusta University
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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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Li T, Bai Y, Jiang Y, Jiang K, Tian Y, Wang Z, Ban Y, Liang X, Luo G, Sun F. Potential Effect of the Circadian Clock on Erectile Dysfunction. Aging Dis 2022; 13:8-23. [PMID: 35111358 PMCID: PMC8782551 DOI: 10.14336/ad.2021.0728] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 07/28/2021] [Indexed: 12/03/2022] Open
Abstract
The circadian rhythm is an internal timing system, which is generated by circadian clock genes. Because the circadian rhythm regulates numerous cellular, behavioral, and physiological processes, organisms have evolved with intrinsic biological rhythms to adapt the daily environmental changes. A variety of pathological events occur at specific times, while disturbed rhythms can lead to metabolic syndrome, vascular dysfunction, inflammatory disorders, and cancer. Therefore, the circadian clock is considered closely related to various diseases. Recently, accumulated data have shown that the penis is regulated by the circadian clock, while erectile function is impaired by an altered sleep-wake cycle. The circadian rhythm appears to be a novel therapeutic target for preventing and managing erectile dysfunction (ED), although research is still progressing. In this review, we briefly summarize the superficial interactions between the circadian clock and erectile function, while focusing on how disturbed rhythms contribute to risk factors of ED. These risk factors include NO/cGMP pathway, atherosclerosis, diabetes mellitus, lipid abnormalities, testosterone deficiency, as well as dysfunction of endothelial and smooth muscle cells. On the basis of recent findings, we discuss the potential role of the circadian clock for future therapeutic strategies on ED, although further relevant research needs to be performed.
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Affiliation(s)
- Tao Li
- Department of Urology, Guizhou Provincial People's Hospital, Guiyang, China.
| | - Yunjin Bai
- Department of Urology and Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Yiting Jiang
- Department of Otorhinolaryngology, The Ninth People’s Hospital of Chongqing, Chongqing, China
| | - Kehua Jiang
- Department of Urology, Guizhou Provincial People's Hospital, Guiyang, China.
| | - Ye Tian
- Department of Urology, Guizhou Provincial People's Hospital, Guiyang, China.
| | - Zhen Wang
- Department of Urology, Guizhou Provincial People's Hospital, Guiyang, China.
| | - Yong Ban
- Department of Urology, Guizhou Provincial People's Hospital, Guiyang, China.
| | - Xiangyi Liang
- Department of Urology, Guizhou Provincial People's Hospital, Guiyang, China.
| | - Guangheng Luo
- Department of Urology, Guizhou Provincial People's Hospital, Guiyang, China.
- Correspondence should be addressed to: Dr. Fa Sun, Department of Urology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China. .
| | - Fa Sun
- Department of Urology, Guizhou Provincial People's Hospital, Guiyang, China.
- Correspondence should be addressed to: Dr. Fa Sun, Department of Urology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China. .
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Antza C, Kostopoulos G, Mostafa S, Nirantharakumar K, Tahrani A. The links between sleep duration, obesity and type 2 diabetes mellitus. J Endocrinol 2021; 252:125-141. [PMID: 34779405 PMCID: PMC8679843 DOI: 10.1530/joe-21-0155] [Citation(s) in RCA: 87] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 11/12/2021] [Indexed: 11/24/2022]
Abstract
Global rates of obesity and type 2 diabetes mellitus (T2DM) are increasing globally concomitant with a rising prevalence of sleep deprivation and sleep disorders. Understanding the links between sleep, obesity and T2DM might offer an opportunity to develop better prevention and treatment strategies for these epidemics. Experimental studies have shown that sleep restriction is associated with changes in energy homeostasis, insulin resistance and β-cell function. Epidemiological cohort studies established short sleep duration as a risk factor for developing obesity and T2DM. In addition, small studies suggested that short sleep duration was associated with less weight loss following lifestyle interventions or bariatric surgery. In this article, we review the epidemiological evidence linking sleep duration to obesity and T2DM and plausible mechanisms. In addition, we review the impact of changes in sleep duration on obesity and T2DM.
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Affiliation(s)
- Christina Antza
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Georgios Kostopoulos
- Department of Endocrinology, 424 General Military Hospital, Thessaloniki, Greece
| | - Samiul Mostafa
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Krishnarajah Nirantharakumar
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Centre of Endocrinology Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK
| | - Abd Tahrani
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Diabetes and Endocrinology, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- Centre of Endocrinology Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK
- Correspondence should be addressed to A Tahrani:
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Lu Q, Wu S, Wang S, Xiao J. Influence of occupation type on the association between sleep duration and impaired fasting glucose: results from a Chinese population-based study. BMJ Open 2021; 11:e042066. [PMID: 34135029 PMCID: PMC8211085 DOI: 10.1136/bmjopen-2020-042066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES Systematic evaluation of the influence of occupation type on the association between sleep-glucose metabolism DESIGN: A cross-sectional study. SETTING The Nantong Metabolic Syndrome Study is a Chinese population-based study. PARTICIPANTS 20 502 participants aged 18-74 years old. INTERVENTION No intervention. PRIMARY AND SECONDARY OUTCOME MEASURES Impaired fasting glucose (IFG). RESULTS A total of 1503 participants (7.33%) with a slightly longer sleep duration had IFG. After being stratified according to occupation, a sleep duration of ≥10 hours daily corresponded to a 1.321-fold risk of IFG (95% CI 1.071 to 1.628, p=0.0092) among moderate and heavy physical workers compared with those with a daily sleep duration of 7-9 hours. There was no significant relationship between sleep and IFG among other types of workers. Moreover, we discovered a gender difference in the influence of occupation on the sleep-IFG. A positive association among moderate and heavy physical men and a negative association among light or sedentary men were established, but not in unemployed men. However, a positive association was evident only in unemployed women; there was no significant association among other occupations. CONCLUSION This study highlights the role of occupation in the relationship of sleep-glucose metabolism. A gender difference was found to have been influenced by occupational types on the sleep-metabolic association.
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Affiliation(s)
- Qingyun Lu
- Department of Epidemiology and Medical Statistics, Nantong University, Nantong, China
| | - Shangxi Wu
- Department of Epidemiology and Medical Statistics, Nantong University, Nantong, China
| | - Shiyu Wang
- Department of Epidemiology and Medical Statistics, Nantong University, Nantong, China
| | - Jing Xiao
- Department of Epidemiology and Medical Statistics, Nantong University, Nantong, China
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Self-initiated lifestyle interventions lead to potential insight into an effective, alternative, non-surgical therapy for mitochondrial disease associated multiple symmetric lipomatosis. Mitochondrion 2020; 52:183-189. [PMID: 32234544 DOI: 10.1016/j.mito.2020.03.009] [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] [Received: 11/16/2019] [Revised: 03/14/2020] [Accepted: 03/23/2020] [Indexed: 11/23/2022]
Abstract
BACKGROUND A 56-year-old female, diagnosed as a carrier of the mitochondrial DNA mutation (MTTK c.8344A > G) associated with the MERRF (myoclonic epilepsy with ragged red fibers) syndrome, presented with a relatively uncommon but well-known phenotypic manifestation: severe multiple symmetric lipomatosis (MSL). After surgical resection of three kilograms of upper mid-back lipomatous tissue, the patient experienced a significant decline in her functional capacity and quality of life, which ultimately resulted in her placement on long-term disability. METHODS Dissatisfied with the available treatment options centered on additional resection surgeries, given the high probability of lipoma regrowth, the patient independently researched and applied alternative therapies that centred on a carbohydrate-restricted diet and a supervised exercise program. RESULTS The cumulative effect of her lifestyle interventions resulted in the reversal of her MSL and her previously low quality of life. She met all her personal goals by the one-year mark, including reduced size of the residual post-surgical lipomas, markedly enhanced exercise tolerance, and return to work. She continues to maintain her interventions and to experience positive outcomes at the two-year mark. INTERPRETATION This case report documents the timing and nature of lifestyle interventions in relation to the reversal in growth pattern of her previously expanding and debilitating lipomas. The profound nature of the apparent benefit on lipoma growth demonstrates the intervention's potential as a new feasible non-surgical therapy for mitochondrial-disease-associated MSL, and justifies its systematic study. We also describe how this case has inspired the care team to re-examine its approach to involved patients.
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Glaser N, Styne D. Thoughts on the Association Between Sleep and Obesity. Pediatrics 2020; 145:peds.2019-3676. [PMID: 32071260 DOI: 10.1542/peds.2019-3676] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/22/2019] [Indexed: 11/24/2022] Open
Affiliation(s)
- Nicole Glaser
- Department of Pediatrics, School of Medicine, University of California, Davis, Sacramento, California
| | - Dennis Styne
- Department of Pediatrics, School of Medicine, University of California, Davis, Sacramento, California
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Teo JX, Davila S, Yang C, Hii AA, Pua CJ, Yap J, Tan SY, Sahlén A, Chin CWL, Teh BT, Rozen SG, Cook SA, Yeo KK, Tan P, Lim WK. Digital phenotyping by consumer wearables identifies sleep-associated markers of cardiovascular disease risk and biological aging. Commun Biol 2019; 2:361. [PMID: 31602410 PMCID: PMC6778117 DOI: 10.1038/s42003-019-0605-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 09/09/2019] [Indexed: 01/30/2023] Open
Abstract
Sleep is associated with various health outcomes. Despite their growing adoption, the potential for consumer wearables to contribute sleep metrics to sleep-related biomedical research remains largely uncharacterized. Here we analyzed sleep tracking data, along with questionnaire responses and multi-modal phenotypic data generated from 482 normal volunteers. First, we compared wearable-derived and self-reported sleep metrics, particularly total sleep time (TST) and sleep efficiency (SE). We then identified demographic, socioeconomic and lifestyle factors associated with wearable-derived TST; they included age, gender, occupation and alcohol consumption. Multi-modal phenotypic data analysis showed that wearable-derived TST and SE were associated with cardiovascular disease risk markers such as body mass index and waist circumference, whereas self-reported measures were not. Using wearable-derived TST, we showed that insufficient sleep was associated with premature telomere attrition. Our study highlights the potential for sleep metrics from consumer wearables to provide novel insights into data generated from population cohort studies.
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Affiliation(s)
- Jing Xian Teo
- SingHealth Duke-NUS Institute of Precision Medicine, National Heart Centre Singapore, Singapore, Singapore
| | - Sonia Davila
- SingHealth Duke-NUS Institute of Precision Medicine, National Heart Centre Singapore, Singapore, Singapore
- Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore
| | - Chengxi Yang
- National Heart Research Institute Singapore, National Heart Centre, Singapore, Singapore
| | - An An Hii
- National Heart Research Institute Singapore, National Heart Centre, Singapore, Singapore
| | - Chee Jian Pua
- National Heart Research Institute Singapore, National Heart Centre, Singapore, Singapore
| | - Jonathan Yap
- Department of Cardiology, National Heart Centre, Singapore, Singapore
| | - Swee Yaw Tan
- Department of Cardiology, National Heart Centre, Singapore, Singapore
| | - Anders Sahlén
- Department of Cardiology, National Heart Centre, Singapore, Singapore
- Department of Medicine, Karolinska Institutet, Karolinska, Sweden
| | | | - Bin Tean Teh
- SingHealth Duke-NUS Institute of Precision Medicine, National Heart Centre Singapore, Singapore, Singapore
- Cancer and Stem Biology Program, Duke-NUS Medical School, Singapore, Singapore
- Laboratory of Cancer Epigenome, Division of Medical Sciences, National Cancer Centre, Singapore, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Steven G. Rozen
- SingHealth Duke-NUS Institute of Precision Medicine, National Heart Centre Singapore, Singapore, Singapore
- Cancer and Stem Biology Program, Duke-NUS Medical School, Singapore, Singapore
- Centre for Computational Biology, Duke-NUS Medical School, Singapore, Singapore
| | - Stuart Alexander Cook
- SingHealth Duke-NUS Institute of Precision Medicine, National Heart Centre Singapore, Singapore, Singapore
- Cardiovascular and Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore
- National Heart Research Institute Singapore, National Heart Centre, Singapore, Singapore
- National Heart and Lung Institute, Imperial College London, London, UK
- MRC Clinical Sciences Centre, Imperial College London, London, UK
| | - Khung Keong Yeo
- Department of Cardiology, National Heart Centre, Singapore, Singapore
| | - Patrick Tan
- SingHealth Duke-NUS Institute of Precision Medicine, National Heart Centre Singapore, Singapore, Singapore
- Cancer and Stem Biology Program, Duke-NUS Medical School, Singapore, Singapore
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
- Biomedical Research Council, Agency for Science, Technology and Research, Singapore, Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Institute of Precision Medicine, National Heart Centre Singapore, Singapore, Singapore
- Cancer and Stem Biology Program, Duke-NUS Medical School, Singapore, Singapore
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Liu PY. A Clinical Perspective of Sleep and Andrological Health: Assessment, Treatment Considerations, and Future Research. J Clin Endocrinol Metab 2019; 104:4398-4417. [PMID: 31042277 PMCID: PMC6735730 DOI: 10.1210/jc.2019-00683] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 04/25/2019] [Indexed: 12/29/2022]
Abstract
CONTEXT Sleep that is insufficient, misaligned, or disrupted causes hypersomnolence and neuropsychological deficits, adversely affects cardiometabolic health, and is increasingly recognized to impair other biological processes that lead to conditions important to men, such as hypogonadism, erectile dysfunction, and infertility. EVIDENCE ACQUISITION Literature review from 1970 to December 2018. EVIDENCE SYNTHESIS High-quality and complementary epidemiological and interventional studies establish that abnormal sleep is associated with increased mortality, hypertension, and other cardiometabolic disorders (insufficient, disrupted, and misaligned sleep), as well as reduced fecundity and total sperm count (insufficient sleep), erectile dysfunction (disrupted sleep), and low testosterone (both). Circadian misalignment shifts the peak of testosterone's diurnal rhythm to occur soon after waking up, irrespective of the biological clock time, but it does not change the mean concentration. Preliminary studies show that extending sleep in individuals who are chronically sleep deprived may become a strategy to reduce insulin resistance and hypertension. Continuous positive airway pressure therapy can improve erectile function, and possibly systemic testosterone exposure, but only when used adherently by men with obstructive sleep apnea. Both high-dose and replacement-dose testosterone therapies modestly worsen sleep-disordered breathing, but they also improve cardiometabolic function and sexual desire. Persistence of either the adverse or beneficial outcomes over the longer term requires further investigation. CONCLUSIONS Sleep is increasingly recognized to be essential for healthy living. Establishing the effect of abnormal sleep, and of improving sleep, on andrological issues of prime interest to men will promote prioritization of sleep, and may thereby improve overall long-term health outcomes.
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Affiliation(s)
- Peter Y Liu
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Harbor-UCLA Medical Center and Los Angeles Biomedical Research Institute, Torrance, California
- David Geffen School of Medicine at UCLA, Los Angeles, California
- Correspondence and Reprint Requests: Peter Y. Liu, PhD, Division of Endocrinology and Metabolism, Department of Medicine, Harbor UCLA Medical Center and Los Angeles Biomedical Research Institute, 1124 West Carson Street, Box 446, Torrance, California 90502. E-mail:
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Rusu A, Bala C, Ciobanu D, Cerghizan A, Roman G. Sleep quality and sleep duration, but not circadian parameters are associated with decreased insulin sensitivity in Type 1 diabetes. Chronobiol Int 2019; 36:1148-1155. [DOI: 10.1080/07420528.2019.1615501] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Adriana Rusu
- Department of Diabetes and Nutrition Diseases, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Cornelia Bala
- Department of Diabetes and Nutrition Diseases, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Clinical Diabetes Center, Emergency County Hospital Cluj, Cluj-Napoca, Romania
| | - Dana Ciobanu
- Department of Diabetes and Nutrition Diseases, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Anca Cerghizan
- Clinical Diabetes Center, Emergency County Hospital Cluj, Cluj-Napoca, Romania
| | - Gabriela Roman
- Department of Diabetes and Nutrition Diseases, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Clinical Diabetes Center, Emergency County Hospital Cluj, Cluj-Napoca, Romania
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14
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The Association between Habitual Sleep Duration and Sleep Quality with Glycemic Traits: Assessment by Cross-Sectional and Mendelian Randomization Analyses. J Clin Med 2019; 8:jcm8050682. [PMID: 31096629 PMCID: PMC6572144 DOI: 10.3390/jcm8050682] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 05/03/2019] [Accepted: 05/13/2019] [Indexed: 12/28/2022] Open
Abstract
Evidence on whether habitual sleep duration and sleep quality are associated with increased insulin resistance is inconsistent. Here, we investigated the associations between different measures of habitual sleep with glycemic traits through cross-sectional and Mendelian randomization (MR) analyses. We assessed the associations of sleep duration and sleep quality with glycemic traits using multivariable linear regression models adjusted for potential confounders in 4672 middle-aged (45–65 years; 48% men) nondiabetic participants of the Netherlands Epidemiology of Obesity (NEO) study. Genetic variants for total, short, and long sleep duration were used as instrumental variables in MR analyses using summary-level data of glycemic traits in nondiabetic individuals (MAGIC; n = 58,074). In cross-sectional analyses, shortest sleepers (median 5.0 h of sleep per night) had 14.5% (95% confidence interval (CI): 2.0; 28.6%) higher fasting insulin level and 16.3% (95% CI: 2.7; 31.7%) higher HOMA-β. Bad sleep quality was associated with higher insulin resistance (e.g., 14.3% (95% CI: 4.7; 24.9%) higher HOMA-IR). All these associations disappeared after adjustment for BMI and the risk of sleep apnea. MR analyses did not indicate a causal association between total, short or long sleep duration and glycemic traits. Therefore, our used measures of habitual sleep duration and sleep quality are unlikely to directly associate with insulin resistance.
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Chattu VK, Chattu SK, Burman D, Spence DW, Pandi-Perumal SR. The Interlinked Rising Epidemic of Insufficient Sleep and Diabetes Mellitus. Healthcare (Basel) 2019; 7:E37. [PMID: 30841553 PMCID: PMC6473416 DOI: 10.3390/healthcare7010037] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2019] [Revised: 02/26/2019] [Accepted: 02/28/2019] [Indexed: 12/15/2022] Open
Abstract
For healthy existence, humans need to spend one-third of their time sleeping. Any qualitative or quantitative disturbances in sleep would result in an increased prevalence of obesity, metabolic disorders, diabetes, cardiovascular diseases, and hypertension. The paper aims to highlight the growing global problem of insufficient sleep and its significant impact on the rising incidence of diabetes mellitus. An extensive literature search was done in all major databases for "insufficient sleep" and "Diabetes Mellitus" for this review. Shorter (<6 h) and longer (>9 h) durations of sleep have been adversely related to insulin resistance. Though the relation between insufficient sleep and diabetes mellitus is more or less understood, little is known about how oversleeping or hypersomnia (10⁻12 h) increases the risk of diabetes. The relationship between sleep disturbances and diabetes is dual-sided, as chronic sleep disturbances would elevate the risk of developing insulin resistance, while diabetes would worsen the quality of sleep. Both the qualitative and quantitative disturbances in sleep significantly increase the risk of developing diabetes, which is supported by numerous community-based and hospital-based epidemiological studies discussed in this review. Obstructive sleep apnea is one of the most common sleep disorders and is characterized by chronic intermittent hypoxia and increased sympathetic activity, thus leading to a higher prevalence of diabetes. Sleep therapy may serve as a low-cost method for fighting against the rising epidemic of diabetes.
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Affiliation(s)
- Vijay Kumar Chattu
- Faculty of Medical Sciences, The University of the West Indies, St. Augustine, Trinidad and Tobago.
- Global Institute of Public Health, Thiruvananthapuram, Kerala 695024, India.
| | - Soosanna Kumary Chattu
- Faculty of Medical Sciences, The University of the West Indies, St. Augustine, Trinidad and Tobago.
| | - Deepa Burman
- School of Medicine, University of Pittsburgh, 4200 Fifth Ave, Pittsburgh, PA 15260, USA.
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16
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Karthikeyan R, Spence DW, Pandi-Perumal SR. The contribution of modern 24-hour society to the development of type 2 diabetes mellitus: the role of insufficient sleep. ACTA ACUST UNITED AC 2019; 12:227-231. [PMID: 31890100 PMCID: PMC6932842 DOI: 10.5935/1984-0063.20190061] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Epidemiological studies since 1980 have shown significant increases in the incidence of type 2 diabetes mellitus (T2DM). The public health burden generated by the growing prevalence of T2DM, which, in its fully developed form, is a lifelong illness, has been associated with further social and economic costs in affected countries. Recent studies have suggested that chronic sleep insufficiency or disrupted or poor quality sleep could contribute to the development of T2DM. Although many research findings have now shown that sleep plays a key role in glucose metabolism, the full implications of these findings have not been translated into clinical programs for improving patients' sleep quality as a means for addressing the treatment of T2DM. The purpose of this brief overview is to focus on the clinical significance of sleep in the onset and treatment of T2DM. We suggest here that physician education should emphasize the importance of sufficient sleep for overall health, including the management of T2DM, and that steps should be taken to incorporate this perspective into clinical practice. The promotion of sleep hygiene techniques as a clinical intervention could improve the regulation of glucose metabolism and thus the longevity of T2DM patients. Moreover, it may prevent secondary complications accruing from the illness and consequently reduce the significant medical costs of treating T2DM patients.
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Affiliation(s)
- Ramanujam Karthikeyan
- Madurai Kamaraj Univesity, Dept. of Animal Behavior & Physiology, School of Biological Sciences, - Madurai - 625021, Tamil Nadu - India
| | - David Warren Spence
- Independent Researcher, Department of Sleep Medicine - Toronto - Ontario - Canada
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van Dijk D, Balkau B, Segrestin B, Gottsäter M, Gabriel R, Hatunic M, Mari A, Dekker JM, Rutters F. Associations between sleep duration and sleep debt with insulin sensitivity and insulin secretion in the EGIR-RISC Study. DIABETES & METABOLISM 2018; 45:375-381. [PMID: 30439506 DOI: 10.1016/j.diabet.2018.11.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Revised: 10/26/2018] [Accepted: 11/01/2018] [Indexed: 12/30/2022]
Abstract
AIM Extremes in sleep duration play an important role in the development of type 2 diabetes. We examined the associations between sleep duration and sleep debt with estimates of insulin sensitivity and insulin secretion. METHODS Data were derived from the European multi-centre EGIR-RISC study. Sleep duration and sleep debt were derived from a sleep questionnaire asking about sleeping time during the week and during the weekend. Insulin sensitivity and insulin secretion were estimated from a 2-hour Oral Glucose Tolerance Test, with samples every 30 minutes. Associations between sleep duration and sleep debt with insulin sensitivity and insulin secretion, were analysed by multiple linear regression models corrected for possible confounders. RESULTS Sleep data were available in 1002 participants, 46% men, mean age 48 ± 8 years, who had an average sleep duration of 7 ± 1 hours [range 3-14] and an average sleep debt (absolute difference hours sleep weekend days minus weekdays) of 1 ± 1 hour [range 0-8]. With regard to insulin sensitivity, we observed an inverted U-shaped association between sleep duration and the Stumvoll MCR in (mL/kg/min), with a corrected β (95% CI) of 2.05 (0.8; 3.3) and for the quadratic term -0.2 (-0.3; -0.1). Similarly, a U-shaped association between sleep duration and log HOMA-IR in (µU/mL), with a corrected βs of -0.83 (-1.4; -0.24) and 0.06 (0.02; 0.10) for the quadratic term. Confounders showed an attenuating effect on the associations, while BMI mediated 60 to 91% of the association between sleep duration and insulin sensitivity. No significant associations were observed between sleep duration with insulin secretion or between sleep debt with either insulin sensitivity or insulin secretion. CONCLUSIONS Short and long sleep duration are associated with a lower insulin sensitivity, suggesting that sleep plays an important role in insulin resistance and may provide the link with development of type 2 diabetes.
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Affiliation(s)
- D van Dijk
- Department Epidemiology and Biostatistics, Amsterdam University Medical Centres, Amsterdam, Netherlands; Amsterdam Public Health Institute, Amsterdam, the Netherlands
| | - B Balkau
- Centre for Research in Epidemiology and Population Health (CESP), University Paris-Saclay, Université Paris Sud, UVSQ, UMRS 1018, 92300 Villejuif, France
| | - B Segrestin
- Department of Nutrition, CRNH-RA, Lyon 1 University, Hospices civils de Lyon, chemin du Grand-Revoyet, 69310 Pierre-Bénite, France
| | - M Gottsäter
- Department of Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - R Gabriel
- Instituto de Investigación Princesa IP, Hospital Universitario de la Princesa, Universidad Autónoma de Madrid, Madrid, Spain
| | - M Hatunic
- Endocrinology Department, Mater Misericordiae University Hospital, Dublin, Ireland
| | - A Mari
- Institute of Neuroscience, National Research Council, Padua, Italy
| | - J M Dekker
- Department Epidemiology and Biostatistics, Amsterdam University Medical Centres, Amsterdam, Netherlands; Amsterdam Public Health Institute, Amsterdam, the Netherlands
| | - F Rutters
- Department Epidemiology and Biostatistics, Amsterdam University Medical Centres, Amsterdam, Netherlands; Amsterdam Public Health Institute, Amsterdam, the Netherlands.
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18
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Xu YH, Shi L, Bao YP, Chen SJ, Shi J, Zhang RL, Lu L. Association between sleep duration during pregnancy and gestational diabetes mellitus: a meta-analysis. Sleep Med 2018; 52:67-74. [PMID: 30286382 DOI: 10.1016/j.sleep.2018.07.021] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 07/02/2018] [Accepted: 07/03/2018] [Indexed: 12/29/2022]
Abstract
OBJECTIVE Sleep is critical for glucose metabolism. Pregnant women often have sleep disturbances and extreme sleep duration. Investigations of the relationship between sleep duration during pregnancy and gestational diabetes mellitus (GDM) have reported inconsistent results. The present study aimed to meta-analyze the relationship between sleep duration during pregnancy and GDM risk. METHODS We performed a systematic search of the PubMed, ISI Web of Science, and PsycINFO databases for studies that were published up to October 2017, that reported associations between sleep duration during pregnancy and GDM risk. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated as the effect sizes for all studies. Heterogeneity and potential publication biases were assessed. RESULTS A total of 4366 papers were retrieved, among which seven studies assessed the relationship between sleep duration during pregnancy and GDM development. The seven articles included 18,203 subjects at baseline and 1294 GDM cases during follow-up. Compared to normal sleep duration, extreme sleep duration during early and middle pregnant stages had a close relationship with GDM based upon pooled data from prospective and cross-sectional studies. Prospective results showed that long sleep duration during pregnancy was a risk factor for GDM, but not short sleep duration. Publication biases were found when analyzing the relationship between extreme sleep duration and GDM. CONCLUSIONS Extreme sleep duration during pregnancy is closely associated with GDM. Moreover, long but not short sleep duration can predict the risk of developing GDM. These findings remind us of the importance of sleep duration control during pregnancy and help optimize early strategies for the prevention of GDM.
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Affiliation(s)
- Ya-Hui Xu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China; National Institute on Drug Dependence, Peking University, Beijing, China; Department of Addiction, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan Province, China
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China; National Institute on Drug Dependence, Peking University, Beijing, China
| | - Yan-Ping Bao
- National Institute on Drug Dependence, Peking University, Beijing, China
| | - Si-Jing Chen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jie Shi
- National Institute on Drug Dependence, Peking University, Beijing, China
| | - Rui-Ling Zhang
- Department of Addiction, Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan Province, China.
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, Ministry of Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China; National Institute on Drug Dependence, Peking University, Beijing, China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China; PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.
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19
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Siméon S, Massy Z, Højlund K, Lalic K, Porcellati F, Dekker J, Petrie J, Currie G, Balkau B. Renal function markers and insulin sensitivity after 3 years in a healthy cohort, the EGIR-RISC study. BMC Nephrol 2018; 19:124. [PMID: 29855339 PMCID: PMC5984396 DOI: 10.1186/s12882-018-0918-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 05/14/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND People with chronic renal disease are insulin resistant. We hypothesized that in a healthy population, baseline renal function is associated with insulin sensitivity three years later. METHODS We studied 405 men and 528 women from the European Group for the study of Insulin Resistance - Relationship between Insulin Sensitivity and Cardiovascular disease cohort. Renal function was characterized by the estimated glomerular filtration rate (eGFR) and by the urinary albumin-creatinine ratio (UACR). At baseline only, insulin sensitivity was quantified using a hyperinsulinaemic-euglycaemic clamp; at baseline and three years, we used surrogate measures: the Matsuda insulin sensitivity index (ISI), the HOmeostasis Model Assessment of Insulin Sensitivity (HOMA-IS). Associations between renal function and insulin sensitivity were studied cross-sectionally and longitudinally. RESULTS In men at baseline, no associations were seen with eGFR, but there was some evidence of a positive association with UACR. In women, all insulin sensitivity indices showed the same negative trend across eGFR classes, albeit not always statistically significant; for UACR, women with values above the limit of detection, had higher clamp measured insulin sensitivity than other women. After three years, in men only, ISI and HOMA-IS showed a U-shaped relation with baseline eGFR; women with eGFR> 105 ml/min/1.73m2 had a significantly higher insulin sensitivity than the reference group (eGFR: 90-105 ml/min/1.73m2). For both men and women, year-3 insulin sensitivity was higher in those with higher baseline UACR. All associations were attenuated after adjusting on significant covariates. CONCLUSIONS There was no evidence to support our hypothesis that markers of poorer renal function are associated with declining insulin sensitivity in our healthy population.
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Affiliation(s)
- Soline Siméon
- CESP team5, Faculty of Medicine - University Paris-South, Faculty of Medicine - University Versailles-St Quentin, INSERM U1018, University Paris-Saclay, Villejuif, France
| | - Ziad Massy
- CESP team5, Faculty of Medicine - University Paris-South, Faculty of Medicine - University Versailles-St Quentin, INSERM U1018, University Paris-Saclay, Villejuif, France.,Division of Nephrology, Ambroise Paré Hospital APHP (Z.M.), Boulogne-Billancourt, Paris, France
| | - Kurt Højlund
- Department of Endocrinology (K.H.) Odense University Hospital, DK-5000, Odense, Denmark.,The Section of Molecular Diabetes & Metabolism, Department of Clinical Research and Institute of Molecular Medicine, University of Southern Denmark, DK-5000, Odense, Denmark
| | - Katarina Lalic
- Faculty of Medicine, University of Belgrade, Clinic for Endocrinology, Diabetes and Metabolic Diseases, Belgrade, Serbia
| | - Francesca Porcellati
- Section of Internal Medicine, Endocrinology and Metabolism, Department of Medicine, Perugia University School of Medicine, Perugia, Italy
| | - Jacqueline Dekker
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, the Netherlands
| | - John Petrie
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, Scotland, UK
| | - Gemma Currie
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, Scotland, UK
| | - Beverley Balkau
- CESP team5, Faculty of Medicine - University Paris-South, Faculty of Medicine - University Versailles-St Quentin, INSERM U1018, University Paris-Saclay, Villejuif, France. .,CESP, INSERM U1018 Equipe 5, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif cedex, France.
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20
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Glaser N, Styne D. Weighing the Causal Evidence That Associates Short Sleep Duration With Obesity. Pediatrics 2017; 140:peds.2017-2015. [PMID: 28811316 DOI: 10.1542/peds.2017-2015] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/19/2017] [Indexed: 11/24/2022] Open
Affiliation(s)
- Nicole Glaser
- Department of Pediatrics, University of California Davis, School of Medicine, Sacramento, California
| | - Dennis Styne
- Department of Pediatrics, University of California Davis, School of Medicine, Sacramento, California
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Inverse association of resistin with physical activity in the general population. PLoS One 2017; 12:e0182493. [PMID: 28771611 PMCID: PMC5542630 DOI: 10.1371/journal.pone.0182493] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2017] [Accepted: 07/19/2017] [Indexed: 11/25/2022] Open
Abstract
Aim Resistin is a cytokine related with inflammation and ischemic heart disease. Physical activity (PA) prevents chronic inflammation and ischemic heart disease. We studied the relationship of serum concentration of resistin with HDL cholesterol, a known biomarker of PA, and with different measures of PA, in a large sample of the general adult population in the Canary Islands. Methods Cross-sectional study of 6636 adults recruited randomly. We analyzed the correlation of resistin and HDL cholesterol with PA (as metabolic equivalent level [MET]), and fitted the results with linear and logistic regression models using adjustment for age, alcohol consumption and smoking. Results Mean resistin level was higher in women (p<0.001), correlated inversely with age, HDL cholesterol (p<0.001) and alcohol consumption (p<0.001 in men), and correlated directly with smoking (p<0.001). Resistin correlated inversely with the duration of leisure time PA (p<0.001), leisure time MET (p<0.001) and moderate leisure time PA (p<0.001), with some differences between sexes. Men (OR = 0.78 [0.61–0.99; p<0.05]) and women (OR = 0.75 [0.61–0.92; p<0.01]) in the upper quintile of leisure time PA had a lower risk of elevated resistin. In contrast, a high degree of sedentarism was associated with an increased risk elevated resistin in women (OR = 1.24 [1.04–1.47; p<0.05] and in men (OR = 1.40 [1.01–1.82; p<0.05]). Conclusions In our sample of the general population, resistin was inversely associated with measures and levels of PA and HDL cholesterol. The association of resistin with PA was stronger than the association of HDL cholesterol with PA, making resistin a potentially useful biomarker of PA.
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Chen CY, Schultz AB, Li X, Burton WN. The Association Between Changes in Employee Sleep and Changes in Workplace Health and Economic Outcomes. Popul Health Manag 2017; 21:46-54. [PMID: 28486056 DOI: 10.1089/pop.2016.0169] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Sleep disturbance is negatively associated with workplace productivity. This study sought to identify whether or not changes in sleep from 2012 to 2013 were associated with changes in health risks, medical conditions, or workplace economic outcomes. Employees of a Fortune 100 financial services corporation were categorized based on changes in self-reported hours of sleep from 2012 to 2013 and compared based on their health risk factors, medical conditions, health care costs, and productivity measures. Consistently poor sleepers had more health risks and medical conditions compared to consistently optimal sleepers. Sleep improvers had a significant reduction in lost on-the-job productivity while consistently poor sleepers and downgraders had significantly more lost productivity compared to optimal sleepers. Employers may wish to incorporate sleep education initiatives as part of their overall health and wellness strategy.
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Affiliation(s)
- Chin-Yu Chen
- 1 Health Management Research Center, University of Michigan , Ann Arbor, Michigan
| | - Alyssa B Schultz
- 1 Health Management Research Center, University of Michigan , Ann Arbor, Michigan
| | - Xingquan Li
- 1 Health Management Research Center, University of Michigan , Ann Arbor, Michigan
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Wu HB, Wang H, Hu RY, Zhong JM, Qian YJ, Wang CM, Xie KX, Chen LL, Gong WW, Guo Y, Bian Z, Chen ZM, Li LM, Yu M. The association between sleep duration, snoring and prevalent type 2 diabetes mellitus with regard to gender and menopausal status: the CKB study in Zhejiang rural area, China. Acta Diabetol 2017; 54:81-90. [PMID: 27665439 DOI: 10.1007/s00592-016-0918-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2016] [Accepted: 09/10/2016] [Indexed: 01/13/2023]
Abstract
AIMS To evaluate the association between sleep duration, snoring and diabetes according to gender and menopausal status in rural China. METHODS The data were part of the baseline survey of China Kadoorie Biobank, from a rural county in the south-east costal Zhejiang province. Participants including 24,027 men and 33,677 women aged 30-79 years were enrolled during 2004-2008. Multivariable logistic regression was used to calculate adjusted odds ratios (ORs) and 95 % confidence intervals (CIs) for diabetes. RESULTS Sleep duration was shown to have a U-shaped association with diabetes in women, in particular in postmenopausal women after adjustment for potential confounders. Compared with 7-h sleepers, ORs (95 % CIs) of sleep duration ≤5 and ≥10 h for diabetes were 1.32 (1.02-1.69) and 1.30 (1.03-1.65), respectively, in postmenopausal women (P for quadratic trend = 0.016). However, this U-shaped association was not obvious in men and premenopausal women. Frequently snoring was positively associated with diabetes in all participants. However, this association was not independent of socioeconomic status, health behaviors, obesity and chronic diseases. With increasing sleep duration, the proportion of frequently snoring increased in all participants (P trend <0.05). Postmenopausal women had 23 % (95 % CI 6-44 %) higher odds of diabetes compared with premenopausal women, and the duration of menopause had cumulative effects on diabetes. CONCLUSIONS Short and long sleep durations were significantly associated with diabetes in postmenopausal women, independent of potential confounders. The proportion of frequently snoring had linear trend with sleep duration. Postmenopausal status and the duration of menopause increased the odds of diabetes.
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Affiliation(s)
- Hai-Bin Wu
- Department of NCDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Hao Wang
- Department of NCDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Ru-Ying Hu
- Department of NCDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Jie-Ming Zhong
- Department of NCDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Yi-Jian Qian
- Tongxiang Center for Disease Control and Prevention, Tongxiang, China
| | - Chun-Mei Wang
- Tongxiang Center for Disease Control and Prevention, Tongxiang, China
| | - Kai-Xu Xie
- Tongxiang Center for Disease Control and Prevention, Tongxiang, China
| | - Ling-Li Chen
- Tongxiang Center for Disease Control and Prevention, Tongxiang, China
| | - Wei-Wei Gong
- Department of NCDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng-Ming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Li-Ming Li
- School of Public Health, Peking University Health Sciences Center, Beijing, China
- Chinese Academy of Medical Sciences, Beijing, China
| | - Min Yu
- Department of NCDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China.
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