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Kabbadj K, Amekran Y, Damoun N, Taiek N, El Hangouche AJ. Sleep quality and shift work among Moroccan nurses: A cross-sectional study. JOURNAL OF EDUCATION AND HEALTH PROMOTION 2024; 12:453. [PMID: 38464634 PMCID: PMC10920774 DOI: 10.4103/jehp.jehp_664_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 07/31/2023] [Indexed: 03/12/2024]
Abstract
BACKGROUND Sleep is vital for physical and mental health. The nursing profession is often associated with unique challenges when it comes to sleep quality. Nurses are often faced with irregular work schedules, including night shifts and rotations, high-stress levels, and significant job demands that can contribute to sleep problems and hinder their productivity at work. This study aimed to assess sleep quality in Moroccan nurses and to investigate the relationship between sleep quality and shift work. MATERIALS AND METHODS This was a cross-sectional study carried out between August 8, 2022 and September 30, 2022 among 260 nurses working day or night shifts in the province of Tétouan, northern Morocco. The Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality in day and night shift nurses. Data on sociodemographic characteristics and shift work were also collected. Descriptive and inferential statistical analyses were performed. Regression models were used to study the association between participant characteristics and sleep quality. RESULTS Among all participants, 60.4% had poor sleep quality. The results of the study revealed that there was no significant association between shift work and sleep quality among nurses in Morocco. CONCLUSION Given that the majority of nurses suffer from sleep disorders, an action plan to raise awareness and promote good sleep in this population should be implemented.
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Affiliation(s)
- Kaoutar Kabbadj
- Department of Physiology, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, Morocco
| | - Youssra Amekran
- Department of Physiology, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, Morocco
| | - Narjisse Damoun
- Department of Physiology, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, Morocco
| | - Nora Taiek
- Department of Physiology, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, Morocco
| | - Abdelkader Jalil El Hangouche
- Department of Physiology, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, Morocco
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Lee DY, Jung I, Park SY, Yu JH, Seo JA, Kim KJ, Kim NH, Yoo HJ, Kim SG, Choi KM, Baik SH, Lee SK, Shin C, Kim NH. Sleep Duration and the Risk of Type 2 Diabetes: A Community-Based Cohort Study with a 16-Year Follow-up. Endocrinol Metab (Seoul) 2023; 38:146-155. [PMID: 36740966 PMCID: PMC10008656 DOI: 10.3803/enm.2022.1582] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 01/18/2023] [Indexed: 02/07/2023] Open
Abstract
BACKGRUOUND We aimed to investigate the moderating effects of obesity, age, and sex on the association between sleep duration and the development of diabetes in Asians. METHODS We analyzed data from a cohort of the Korean Genome and Epidemiology Study conducted from 2001 to 2020. After excluding shift workers and those with diabetes at baseline, 7,407 participants were stratified into three groups according to sleep duration: ≤5 hours/night, >5 to 7 hours/night (reference), and >7 hours/night. The Cox proportional hazards analyses were used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident type 2 diabetes mellitus (T2DM). Subgroup analyses were performed according to obesity, age, and sex. RESULTS During 16 years of follow-up, 2,024 cases of T2DM were identified. Individuals who slept ≤5 h/night had a higher risk of incident diabetes than the reference group (HR, 1.17; 95% CI, 1.02 to 1.33). The subgroup analysis observed a valid interaction with sleep duration only for obesity. A higher risk of T2DM was observed in the ≤5 hours/night group in non-obese individuals, men, and those aged <60 years, and in the >7 hours/night group in obese individuals (HRs were 1.34 [95% CI, 1.11 to 1.61], 1.22 [95% CI, 1 to 1.49], and 1.18 [95% CI, 1.01 to 1.39], respectively). CONCLUSION This study confirmed the effect of sleep deprivation on the risk of T2DM throughout the 16-year follow-up period. This impact was confined to non-obese or young individuals and men. We observed a significant interaction between sleep duration and obesity.
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Affiliation(s)
- Da Young Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Inha Jung
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - So Young Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Ji Hee Yu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Ji A Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Kyeong Jin Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Hye Jin Yoo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Sin Gon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Kyung Mook Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Sei Hyun Baik
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
| | - Seung Ku Lee
- Institute of Human Genomic Study, Korea University Ansan Hospital, Ansan, Korea
| | - Chol Shin
- Institute of Human Genomic Study, Korea University Ansan Hospital, Ansan, Korea
- Corresponding authors: Nan Hee Kim. Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, 123 Jeokgeum-ro, Danwon-gu, Ansan 15355, Korea Tel: +82-31-412-4274, Fax: +82-31-412-6770, E-mail:
| | - Nan Hee Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea
- BK21 FOUR R&E Center for Learning Health Systems, Korea University, Seoul, Korea
- Corresponding authors: Nan Hee Kim. Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, 123 Jeokgeum-ro, Danwon-gu, Ansan 15355, Korea Tel: +82-31-412-4274, Fax: +82-31-412-6770, E-mail:
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Guimarães KC, Silva CM, Latorraca CDOC, Oliveira RDÁ, Crispim CA. Is self-reported short sleep duration associated with obesity? A systematic review and meta-analysis of cohort studies. Nutr Rev 2021; 80:983-1000. [PMID: 34508648 DOI: 10.1093/nutrit/nuab064] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
CONTEXT A possible association between self-reported short sleep duration and risk of obesity has been studied. OBJECTIVE To analyze the association between sleep duration and obesity. METHODS The LILACS, Medline, Central, Embase, and OpenGrey databases were searched from inception until July 2020. Two authors screened the studies independently according to the PECO strategy, as follows: participants: > 18 years old; exposure: short sleep duration; control: regular sleep; outcome: obesity). Only cohort studies were included. A total of 3286 studies were retrieved with the search strategy, but only 36 were included. Disagreements were resolved by a third author. The quality of studies was assessed with Newcastle-Ottawa Quality Assessment Form for Cohort Studies. The certainty of the evidence was assessed using Grading of Recommendations Assessment, Development, and Evaluation. RESULTS Thirty-six studies were included, and 22 contributed quantitative data. Most of the studies (n = 27) assessed sleep by self-report. The meta-analysis showed a significant association between self-reported short sleep and development of obesity, and the chances of developing obesity increased when self-reported sleep duration decreased. CONCLUSIONS Self-reported short sleep was significantly associated with a higher incidence of obesity, with moderate quality of evidence. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration no. CRD42019130143.
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Affiliation(s)
- Kisian Costa Guimarães
- Graduate Program of Health Sciences, Faculty of Medicine, Federal University of Uberlândia, Minas Gerais, Brazil
| | - Catarina Mendes Silva
- Graduate Program of Health Sciences, Faculty of Medicine, Federal University of Uberlândia, Minas Gerais, Brazil
| | | | | | - Cibele Aparecida Crispim
- Graduate Program of Health Sciences, Faculty of Medicine, Federal University of Uberlândia, Minas Gerais, Brazil
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Mosavat M, Mirsanjari M, Arabiat D, Smyth A, Whitehead L. The Role of Sleep Curtailment on Leptin Levels in Obesity and Diabetes Mellitus. Obes Facts 2021; 14:214-221. [PMID: 33756469 PMCID: PMC8138234 DOI: 10.1159/000514095] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 12/23/2020] [Indexed: 12/15/2022] Open
Abstract
Emerging evidence has identified sleep as a significant, but modifiable, risk factor for metabolic syndrome, diabetes, and obesity. Leptin, an adipocyte-derived peptide and a regulator of food intake and energy expenditure, has been shown to be associated with a short sleep duration in the pathophysiology of obesity and consequently type 2 diabetes. This review focuses on the current evidence indicating the effects of a short sleep duration on the regulation of leptin concentration in association with obesity and diabetes mellitus. In summary, the evidence suggests that sleep deprivation, by affecting leptin regulation, may lead to obesity and consequently development of type 2 diabetes through increased appetite and food intake. However, findings on the role of leptin in diabetes due to sleep deprivation are contradictory, and further studies with larger sample sizes are needed to confirm previous findings.
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Affiliation(s)
- Maryam Mosavat
- School of Nursing and Midwifery, Edith Cowan University, Joondalup, Washington, Australia,
| | - Mitra Mirsanjari
- Mazandaran University of Medical Sciences, Emam Khomeini Hospital, Mazandaran, Iran
| | - Diana Arabiat
- School of Nursing and Midwifery, Edith Cowan University, Joondalup, Washington, Australia
- Maternal and Child Nursing Department, The University of Jordan, Amman, Jordan
| | - Aisling Smyth
- School of Nursing and Midwifery, Edith Cowan University, Joondalup, Washington, Australia
| | - Lisa Whitehead
- School of Nursing and Midwifery, Edith Cowan University, Joondalup, Washington, Australia
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Wu IH, Heredia N, Dong Q, McNeill LH, Balachandran DD, Lu Q, Chang S. Sleep duration and type 2 diabetes risk: A prospective study in a population-based Mexican American cohort. Sleep Health 2021; 7:168-176. [PMID: 33582048 DOI: 10.1016/j.sleh.2020.12.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 12/03/2020] [Accepted: 12/09/2020] [Indexed: 12/20/2022]
Abstract
STUDY OBJECTIVES The primary aim of the study was to estimate the effect of sleep duration on prospective type 2 diabetes (T2D) risk across demographic characteristics and follow-up periods, and test body mass index (BMI) as a mediator and moderator. METHODS Data included adults (Mage = 39.0 ± 12.7 years) born in the United States or Mexico recruited from 2001 to 2012 in a Mexican American cohort study conducted in Houston, TX (n = 15,779). Participants completed self-reported questionnaires at baseline related to health, health behaviors (sleep duration, physical activity, smoking, drinking), and sociocultural factors and were followed up annually. RESULTS Cox proportional hazard models estimated hazard ratios (HR) for the effect of sleep duration on T2D diagnosis at follow-up. Of the participants, 10.3% were diagnosed with T2D. Self-reported ≤5 hours of sleep, compared to 7-8 hours, at baseline predicted greater risk for T2D (HR = 1.32, P = .001), yet was no longer significant after adjusting for sociodemographic characteristics and BMI. Notably, those with BMI <25 kg/m2 reporting ≤5 hours of sleep were at significant risk for T2D at 3 (HR = 4.13, P = .024) and 5-year follow-up (HR = 3.73, P = .008) compared to 7-8 hours. Obesity status accounted for 31.6% and 27.3% of the variance in the association between ≤5 and 6 hours of sleep and increased T2D risk, respectively. CONCLUSIONS Results highlighted the mediating and moderating role of BMI, and its effect on T2D risk at earlier follow-up among those without obesity. T2D prevention and control for Mexican American adults should consider the role of chronic sleep loss.
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Affiliation(s)
- Ivan Hc Wu
- Department of Health Disparities Research, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
| | - Natalia Heredia
- Department of Health Promotion & Behavioral Sciences, The University of Texas Health Science Center at Houston, School of Public Health, Houston, Texas, USA
| | - Qiong Dong
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Lorna H McNeill
- Department of Health Disparities Research, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Diwakar D Balachandran
- Department of Pulmonary Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Qian Lu
- Department of Health Disparities Research, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Shine Chang
- Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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Lu H, Yang Q, Tian F, Lyu Y, He H, Xin X, Zheng X. A Meta-Analysis of a Cohort Study on the Association between Sleep Duration and Type 2 Diabetes Mellitus. J Diabetes Res 2021; 2021:8861038. [PMID: 33834077 PMCID: PMC8012145 DOI: 10.1155/2021/8861038] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 02/26/2021] [Accepted: 03/04/2021] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE To study the association between sleep duration and the incidence of type 2 diabetes mellitus (T2DM) and to provide a theoretical basis for the prevention of T2DM through a meta-analysis. METHODS PubMed, Web of Science, Scopus, Embase, Cochrane Library, ProQuest, CNKI, Wanfang, VIP, and SINOMED were searched from their inception until May 2020. All cohort studies on the relationship between sleep duration and T2DM in adults were included. According to the inclusion and exclusion criteria, two authors independently assessed the literature and extracted the data. Metaregression and publication bias were evaluated, and sensitivity and meta-analyses were conducted with RevMan 5.3. RESULTS A total of 17 studies were collected, involving 737002 adults. The incidence of T2DM was 4.73% in short sleep duration (SSD) (t ≤ 6 h), 4.39% in normal sleep duration (NSD) (6 h < t < 9 h), and 4.99% in long sleep duration (LSD) (t ≥ 9 h). The meta-analysis demonstrated that SSD increased the risk of T2DM compared with NSD (RR = 1.22, 95% CI: 1.15-1.29, P < 0.001), LSD increased the risk of T2DM compared with NSD (RR = 1.26, 95% CI: 1.15-1.39, P < 0.001), and the risk of T2DM has no significant difference between SSD and LSD (RR = 0.97, 95% CI: 0.89-1.05, P = 0.41). The sensitivity of each study was robust and the publication bias was weak. CONCLUSION SSD or LSD can increase the risk of T2DM.
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Affiliation(s)
- Huapeng Lu
- Department of Hepatobiliary and Pancreas Surgery, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
| | - Qinling Yang
- Department of Hepatobiliary and Pancreas Surgery, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
| | - Fang Tian
- School of Nursing, Yan'an University, Yan'an, Shaanxi 710061, China
| | - Yi Lyu
- Department of Hepatobiliary and Pancreas Surgery, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
| | - Hairong He
- Department of Clinical Research Center, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xia Xin
- Department of Nursing, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
| | - Xuemei Zheng
- Department of Nursing, The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
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Age and sex differences in the association between sleep duration and general and abdominal obesity at 6-year follow-up: the rural Chinese cohort study. Sleep Med 2020; 69:71-77. [DOI: 10.1016/j.sleep.2019.12.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 12/24/2019] [Accepted: 12/29/2019] [Indexed: 01/13/2023]
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8
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Fárková E, Šmotek M, Bendová Z, Manková D, Kopřivová J. Chronotype and social jet-lag in relation to body weight, apetite, sleep quality and fatigue. BIOL RHYTHM RES 2019. [DOI: 10.1080/09291016.2019.1630096] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Eva Fárková
- National Institute of Mental Health, Sleep Medicine and Chronobiology, Klecany, Czech Republic
- Charles University – Third Faculty of Medicine, Prague, Czech Republic to Jana Kopřivová
| | - Michal Šmotek
- National Institute of Mental Health, Sleep Medicine and Chronobiology, Klecany, Czech Republic
- Charles University – Third Faculty of Medicine, Prague, Czech Republic to Jana Kopřivová
| | - Zdeňka Bendová
- National Institute of Mental Health, Sleep Medicine and Chronobiology, Klecany, Czech Republic
- Charles University – Faculty of Science, Prague, Czech Republic to Zdeňka Bendová
| | - Denisa Manková
- National Institute of Mental Health, Sleep Medicine and Chronobiology, Klecany, Czech Republic
| | - Jana Kopřivová
- National Institute of Mental Health, Sleep Medicine and Chronobiology, Klecany, Czech Republic
- Charles University – Third Faculty of Medicine, Prague, Czech Republic to Jana Kopřivová
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Liu W, Zhang R, Tan A, Ye B, Zhang X, Wang Y, Zou Y, Ma L, Chen G, Li R, Moore JB. Long sleep duration predicts a higher risk of obesity in adults: a meta-analysis of prospective cohort studies. J Public Health (Oxf) 2019; 41:e158-e168. [PMID: 30107483 DOI: 10.1093/pubmed/fdy135] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 07/04/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The connections between long sleep duration and obesity or weight gain warrant further examination. This meta-analysis aimed to evaluate whether long sleep duration was associated with the risk of obesity, weight gain, body mass index (BMI) change or weight change in adults. METHODS PubMed, Embase, Cochrane Library, Elsevier Science Direct, Science Online, MEDLINE and CINAHL were searched for English articles published before May 2017. A total of 16 cohort studies (n = 329 888 participants) from 8 countries were included in the analysis. Pooled relative risks (RR) or regression coefficients (β) with 95% confidence intervals (CI) were estimated. Heterogeneity and publication bias were tested, and sensitivity analysis was also performed. RESULTS We found that long sleep duration was associated with higher risk of obesity (RR [95% CI] = 1.04 [1.00-1.09], P = 0.037), but had no significant associations with weight gain, BMI change or weight change. Long sleep duration increased the risk of weight gain in three situations: among men, in studies with <5 years follow-up, and when sleep duration was 9 or more hours. CONCLUSIONS Long sleep duration was associated with risk of obesity in adults. More cohort studies with objective measures are needed to confirm this relationship.
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Affiliation(s)
- Wenjia Liu
- Department of Healthcare Management, School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan, China
| | - Rui Zhang
- College of Life Sciences, South-Central University for Nationalities, Wuhan, China
| | - Anran Tan
- Department of Healthcare Management, School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan, China
| | - Bo Ye
- Department of Healthcare Management, School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan, China
| | - Xinge Zhang
- Department of Healthcare Management, School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan, China
| | - Yueqiao Wang
- Department of Healthcare Management, School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan, China
| | - Yuliang Zou
- Department of Healthcare Management, School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan, China
| | - Lu Ma
- Department of Healthcare Management, School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan, China
| | - Guoxun Chen
- Department of Nutrition, the University of Tennessee, Knoxville, TN, USA
| | - Rui Li
- Department of Healthcare Management, School of Health Sciences, Wuhan University, 115 Donghu Road, Wuhan, China
| | - Justin B Moore
- Department of Family & Community Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, USA
- Department of Epidemiology & Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Implementation Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
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Dose-response association between sleep duration and obesity risk: a systematic review and meta-analysis of prospective cohort studies. Sleep Breath 2019; 23:1035-1045. [DOI: 10.1007/s11325-019-01824-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 02/17/2019] [Accepted: 03/06/2019] [Indexed: 01/22/2023]
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Chang MW, Tan A, Schaffir J, Wegener DT. Sleep and weight loss in low-income overweight or obese postpartum women. BMC OBESITY 2019; 6:12. [PMID: 30984405 PMCID: PMC6442411 DOI: 10.1186/s40608-019-0236-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 02/21/2019] [Indexed: 12/27/2022]
Abstract
Background We conducted secondary data analyses to examine the associations between sleep duration, sleep quality, sleep disturbance and ≥ 5% of weight loss in low-income overweight or obese postpartum women enrolled in a community-based lifestyle behavior intervention study aimed at prevention of weight gain. Methods Participants were recruited from the Special Supplemental Nutrition Program for Women, Infants, and Children in Michigan. The Pittsburgh Sleep Quality Index was used to assess sleep duration, sleep quality, and sleep disturbance. All participants were assessed and weighed at baseline (T1, 569 participants), 4-month (T2, 367 participants), and 7-month from T1 (T3, 332 participants). Descriptive statistics and mixed-effects regression analysis were performed. Results Participants reported longer sleep duration (p = 0.048), better sleep quality (p = 0.003) and less sleep disturbance (p < 0.001) over time. There were no significant mean body weight changes at T2 and T3. However, a significantly higher proportion of women lost ≥5% of body weight at T3 (23.1%) than T2 (12.5%, p = 0.001). Sleep duration, quality, and disturbance were not significantly associated with ≥5% of weight loss. Conclusion Improvements in sleep duration, sleep quality and sleep disturbance over time were not associated with ≥5% of weight loss in low-income overweight or obese postpartum women. Trial registration Clinical Trials NCT01839708; retrospectively registered February 28, 2013.
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Affiliation(s)
- Mei-Wei Chang
- 1College of Nursing, The Ohio State University, 1585 Neil Avenue, Columbus, OH 43210 USA
| | - Alai Tan
- 1College of Nursing, The Ohio State University, 1585 Neil Avenue, Columbus, OH 43210 USA
| | - Jonathan Schaffir
- 2Department of Obstetrics & Gynecology, The Ohio State University, 370 W. 9th Avenue Columbus, Columbus, OH 43210 USA
| | - Duane T Wegener
- 3Department of Psychology, The Ohio State University, 1835 Neil Avenue, Columbus, OH 43210 USA
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Characterization of abnormal sleep patterns in patients with obesity, type 2 diabetes, or combined. ALEXANDRIA JOURNAL OF MEDICINE 2018. [DOI: 10.1016/j.ajme.2017.10.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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13
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Ding C, Lim LL, Xu L, Kong APS. Sleep and Obesity. J Obes Metab Syndr 2018; 27:4-24. [PMID: 31089536 PMCID: PMC6489488 DOI: 10.7570/jomes.2018.27.1.4] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Revised: 03/08/2018] [Accepted: 03/09/2018] [Indexed: 12/30/2022] Open
Abstract
Rising global prevalence and incidence of obesity lead to increased cardiovascular-renal complications and cancers. Epidemiological studies reported a worldwide trend towards suboptimal sleep duration and poor sleep quality in parallel with this obesity epidemic. From rodents and human models, it is highly plausible that abnormalities in sleep, both quantity and quality, impact negatively on energy metabolism. While excess dietary intake and physical inactivity are the known drivers of the obesity epidemic, promotion of healthy sleep habits has emerged as a new target to combat obesity. In this light, present review focuses on the existing literature examining the relationship between sleep physiology and energy homeostasis. Notably, sleep dysregulation perturbs the metabolic milieu via alterations in hormones such as leptin and ghrelin, eating behavior, neuroendocrine and autonomic nervous systems. In addition, shift work and trans-meridian air travel may exert a negative influence on the hypothalamic-pituitary-adrenal axis and trigger circadian misalignment, leading to impaired glucose tolerance and increased fat accumulation. Amassing evidence has also suggested that uncoupling of the circadian clock can increase the risk of adverse metabolic health. Given the importance of sleep in maintaining energy homeostasis and that it is potentially modifiable, promoting good sleep hygiene may create new avenues for obesity prevention and treatment.
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Affiliation(s)
- Chenzhao Ding
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong,
China
| | - Lee Ling Lim
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong,
China
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur,
Malaysia
| | - Li Xu
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong,
China
| | - Alice Pik Shan Kong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong,
China
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Liu R, Li Y, Wang F, Liu X, Zhou H, Wang P, Fan J, Xu F, Yang K, Hu D, Bie R, Wang C. Age- and gender-specific associations of napping duration with type 2 diabetes mellitus in a Chinese rural population: the RuralDiab study. Sleep Med 2017; 33:119-124. [DOI: 10.1016/j.sleep.2016.09.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 09/22/2016] [Accepted: 09/30/2016] [Indexed: 01/19/2023]
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Balakrishnan M, El-Serag HB, Kanwal F, Thrift AP. Shiftwork Is Not Associated with Increased Risk of NAFLD: Findings from the National Health and Nutrition Examination Survey. Dig Dis Sci 2017; 62:526-533. [PMID: 27995401 DOI: 10.1007/s10620-016-4401-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Accepted: 11/29/2016] [Indexed: 01/01/2023]
Abstract
AIMS There is increased focus on the metabolic impact of shiftwork, especially given the significant number of employees who work nighttime or rotating shifts. Nonalcoholic fatty liver disease (NAFLD) is the hepatic manifestation of the metabolic syndrome. We conducted a cross-sectional study to examine the association between shiftwork and the risk of NAFLD. METHODS We used aggregated data from the 2005-2006, 2007-2008, and 2009-2010 cycles of the National Health and Nutrition Examination Survey (NHANES). We defined NAFLD by elevated serum alanine aminotransferase (ALT) or aspartate aminotransferase (AST) levels (males: AST > 40 or ALT > 37; females: AST > 31 or ALT > 31) in the absence of excessive alcohol use and viral hepatitis. We defined shiftworkers as participants who self-reported currently working regular night shifts or rotating shifts. We calculated adjusted odds ratios (OR) and 95% confidence intervals (CI) using multivariable logistic regression. RESULTS Overall, 8159 participants aged 20-79 years reported working at a job or business using the NHANES Occupation Questionnaire and were included in the analysis. Of these, 11.1% were classified as shiftworkers. Compared to non-shiftworkers, shiftworkers were younger, were less likely to be non-Hispanic White, and have health insurance or health care. The overall prevalence of NAFLD was 15.7%. NAFLD occurred more frequently in shiftworkers (17.0%) than non-shiftworkers (15.5%). However, in the overall multivariable analysis, shiftwork was not associated with the risk of NAFLD (OR 1.11, 95% CI 0.87-1.43). CONCLUSIONS The findings from this NHANES-based cross-sectional study do not support an association between shiftwork and increased risk of NAFLD.
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Affiliation(s)
- Maya Balakrishnan
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA.
| | - Hashem B El-Serag
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA
- Department of Medicine, Houston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
| | - Fasiha Kanwal
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA
- Department of Medicine, Houston VA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA
| | - Aaron P Thrift
- Section of Gastroenterology and Hepatology, Department of Medicine, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
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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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Shochat T, Shefer-Hilel G, Zisberg A. Relationships between body mass index and sleep quality and duration in adults 70 years and older. Sleep Health 2016; 2:266-271. [DOI: 10.1016/j.sleh.2016.09.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Revised: 08/31/2016] [Accepted: 09/07/2016] [Indexed: 01/07/2023]
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18
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Ogilvie RP, Redline S, Bertoni AG, Chen X, Ouyang P, Szklo M, Lutsey PL. Actigraphy Measured Sleep Indices and Adiposity: The Multi-Ethnic Study of Atherosclerosis (MESA). Sleep 2016; 39:1701-8. [PMID: 27306270 DOI: 10.5665/sleep.6096] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Accepted: 05/18/2016] [Indexed: 11/03/2022] Open
Abstract
STUDY OBJECTIVES To investigate the cross-sectional relationship between objectively measured sleep characteristics and multiple indices of adiposity in racially/ethnically diverse older adults within the MESA Sleep study (n = 2,146). METHODS 7-day actigraphy was used to assess sleep duration, sleep efficiency, and night-to-night variability. Body mass index (BMI), waist circumference, and total body fat were modeled continuously and according to obesity cut-points. Models were adjusted for demographic, socioeconomic, and behavioral variables. RESULTS Participants who slept less than 6 hours a night had significantly higher BMI, waist circumference, and body fat relative to those who slept 7-8 hours. Those who slept less than 5 hours had a 16% higher prevalence of general obesity (BMI ≥ 30 vs. < 25 kg/m(2)) (95% [CI]: 0.08-0.24) and a 9% higher prevalence of abdominal obesity (waist circumference: women ≥ 88 centimeters, men ≥ 102 centimeters; 95% CI: 0.03-0.16) compared to those who slept 7-8 hours. Results were similar for sleep efficiency and night-to-night sleep variability. CONCLUSIONS Among an older multi-ethnic cohort, we found robust associations across multiple indices of sleep and adiposity. Targeting sleep characteristics may be of benefit in obesity interventions, but more research is needed to rule out reverse causality.
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Affiliation(s)
- Rachel P Ogilvie
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital and Beth Israel Deaconess Medical School, Harvard Medical School, Boston, MA
| | - Alain G Bertoni
- Division of Public Health Sciences, Wake Forest University Health Sciences, Winston-Salem, NC
| | - Xiaoli Chen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Pamela Ouyang
- Johns Hopkins University School of Medicine, Baltimore, MD
| | - Moyses Szklo
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
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Abstract
Collectively, cross-sectional and longitudinal studies on self-reported sleep duration and obesity do not show a clear pattern of association with some showing a negative linear relationship, some showing a U-shaped relationship, and some showing no relationship. Associations between sleep duration and obesity seem stronger in younger adults. Cross-sectional studies using objectively measured sleep duration (actigraphy or polysomnography (PSG)) also show this mixed pattern whereas all longitudinal studies to date using actigraphy or PSG have failed to show a relationship with obesity/weight gain. It is still too early and a too easy solution to suggest that changing the sleep duration will cure the obesity epidemic. Given novel results on emotional stress and poor sleep as mediating factors in the relationship between sleep duration and obesity, detection and management of these should become the target of future clinical efforts as well as future research.
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Affiliation(s)
- Jenny Theorell-Haglöw
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden.
| | - Eva Lindberg
- Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden
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Associations between sleep characteristics and weight gain in an older population: results of the Heinz Nixdorf Recall Study. Nutr Diabetes 2016; 6:e225. [PMID: 27525820 PMCID: PMC5022146 DOI: 10.1038/nutd.2016.32] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 07/05/2016] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND/OBJECTIVES Sleep duration influences weight change in children and young adults, but there is less evidence in middle-aged, and, in particular, older adults. We assessed associations between sleep duration, daytime napping and sleep disturbances, respectively, with change of weight and waist circumference in older subjects. Contrary to previous studies, we also used two points in time to assess sleep characteristics. METHODS We used data from the population-based Heinz Nixdorf Recall study, a cohort study in Germany with a baseline and two follow-up visits (age 45-74 years, median follow-up 5.1 years for first, 5.2 years for second follow-up visit). In adjusted linear regression models (N=3751), we estimated weight change between baseline and first follow-up visit in relation to various self-reported sleep characteristics measured at baseline. Furthermore, we estimated change of weight and waist circumference, respectively, between first and second follow-up visit in relation to patterns of sleep characteristics measured at baseline and at the first follow-up visit (N=2837). RESULTS In all analyses, short and long sleep duration, sleep disturbances, and regular daytime napping were associated with <1 kg of weight gain and <1 cm of gain in waist circumference over 5 years compared with the respective reference categories. For example, compared with 7-<8 h night sleep, short night sleep (⩽5 h at baseline) was associated with 0.5 kg of weight gain (95% confidence interval: -0.1; 1.1 kg). CONCLUSIONS Our study gave no evidence that sleep characteristics were associated with clinically relevant weight gain in the older population.
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Abstract
Sleep curtailment is common in the Westernised world and coincides with an increase in the prevalence of type 2 diabetes mellitus (T2DM). This review considers the recently published evidence for whether sleep duration is involved in the development of T2DM in human subjects and whether sleep has a role to play in glucose control in people who have diabetes. Data from large, prospective studies indicate a U-shaped relationship between sleep duration and the development of T2DM. Smaller, cross-sectional studies also support a relationship between short sleep duration and the development of both insulin resistance and T2DM. Intervention studies show that sleep restriction leads to insulin resistance, with recent sleep extension studies offering tantalising data showing a potential benefit of sleep extension on glucose control and insulin sensitivity. In people with established diabetes the published literature shows an association between poor glucose control and both short and long sleep durations. However, there are currently no studies that determine the causal direction of this relationship, nor whether sleep interventions are likely to offer benefit for people with diabetes to help them achieve tighter glucose control.
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Physical Activity and Sedentary Behavior in Metabolically Healthy versus Unhealthy Obese and Non-Obese Individuals - The Maastricht Study. PLoS One 2016; 11:e0154358. [PMID: 27138596 PMCID: PMC4854448 DOI: 10.1371/journal.pone.0154358] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2015] [Accepted: 04/12/2016] [Indexed: 01/12/2023] Open
Abstract
Background Both obesity and the metabolic syndrome are associated with increased risk of cardiovascular diseases and type 2 diabetes. Although both frequently occur together in the same individual, obesity and the metabolic syndrome can also develop independently from each other. The (patho)physiology of “metabolically healthy obese” (i.e. obese without metabolic syndrome) and “metabolically unhealthy non-obese” phenotypes (i.e. non-obese with metabolic syndrome) is not fully understood, but physical activity and sedentary behavior may play a role. Objective To examine objectively measured physical activity and sedentary behavior across four groups: I) “metabolically healthy obese” (MHO); II) “metabolically unhealthy obese” (MUO); III)”metabolically healthy non-obese” (MHNO); and IV) “metabolically unhealthy non-obese” (MUNO). Methods Data were available from 2,449 men and women aged 40–75 years who participated in The Maastricht Study from 2010 to 2013. Participants were classified into the four groups according to obesity (BMI≥30kg/m2) and metabolic syndrome (ATPIII definition). Daily activity was measured for 7 days with the activPAL physical activity monitor and classified as time spent sitting, standing, and stepping. Results In our study population, 562 individuals were obese. 19.4% of the obese individuals and 72.7% of the non-obese individuals was metabolically healthy. After adjustments for age, sex, educational level, smoking, alcohol use, waking time, T2DM, history of CVD and mobility limitation, MHO (n = 107) spent, per day, more time stepping (118.2 versus 105.2 min; p<0.01) and less time sedentary (563.5 versus 593.0 min., p = 0.02) than MUO (n = 440). In parallel, MHNO (n = 1384) spent more time stepping (125.0 versus 115.4 min; p<0.01) and less time sedentary (553.3 versus 576.6 min., p<0.01) than MUNO (n = 518). Conclusion Overall, the metabolically healthy groups were less sedentary and more physically active than the metabolically unhealthy groups. Therefore, physical activity and sedentary time may partly explain the presence of the metabolic syndrome in obese as well as non-obese individuals.
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Beydoun HA, Beydoun MA, Jeng HA, Zonderman AB, Eid SM. Bisphenol-A and Sleep Adequacy among Adults in the National Health and Nutrition Examination Surveys. Sleep 2016; 39:467-76. [PMID: 26446109 DOI: 10.5665/sleep.5466] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2015] [Accepted: 08/14/2015] [Indexed: 12/14/2022] Open
Abstract
STUDY OBJECTIVES To evaluate bisphenol-A (BPA) level and its relationship to sleep adequacy in a nationally representative sample of U.S. adults. METHODS A population-based cross-sectional study was conducted using 2005-2010 National Health and Nutrition Examination Survey whereby data were collected using in-person interviews, physical examination and laboratory testing. BPA level was measured in urine samples and analyzed as loge-transformed variable and in quartiles (< 0.9 ng/mL; 0.9 to < 1.9 ng/mL; 1.9 to < 3.7 ng/mL; 3.7+ ng/mL). Sleep adequacy was operationalized with three questions: "How much sleep do you usually get at night on weekdays or workdays?", "Have you ever told a doctor or other health professionals that you have trouble sleeping?" and "Have you ever been told by a doctor or other health professional that you have a sleep disorder?" Sleep duration was further categorized as (< 6 h, ≥ 6 h); (< 7 h, 7-8 h, > 8 h); (< 5 h, 5-6 h, 7-8 h, ≥ 9 h). Linear, binary, and ordinal logistic regression models were constructed. RESULTS Loge-transformed BPA level was inversely related to sleep duration defined, in hours, as a continuous variable, a dichotomous variable (≥ 6, < 6), or an ordinal variable (≥ 9, 7-8, 5-6, < 5), after adjustment for confounders. Help-seeking behavior for sleep problems and diagnosis with sleep disorders were not significantly associated with loge-transformed BPA level in fully adjusted models. CONCLUSIONS Loge-transformed BPA level may be associated with fewer hours of sleep among U.S. adults, with implications for prevention. Further research involving diverse populations are needed to confirm these study findings.
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Affiliation(s)
- Hind A Beydoun
- Graduate Program in Public Health, Eastern Virginia Medical School, Norfolk, VA
| | - May A Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, MD
| | - Hueiwang Anna Jeng
- Department of Community & Environmental Health, Old Dominion University, Norfolk, VA
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging Intramural Research Program, Baltimore, MD
| | - Shaker M Eid
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
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Abstract
Pre-diabetes and diabetes occur secondary to a constellation of pathophysiological abnormalities that culminate in insulin resistance, which results in reduced cellular glucose uptake and increased glucose production. Although pre-diabetes and diabetes have a strong genetic basis, they are largely environmentally driven through lifestyle factors. Traditional lifestyle factors such as diet and physical activity do not fully explain the dramatic rise in the incidence and prevalence of diabetes mellitus. Sleep has emerged as an additional lifestyle behavior, important for metabolic health and energy homeostasis. In this article, we review the current evidence surrounding the sleep-diabetes association.
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Affiliation(s)
- Teresa Arora
- Department of Medicine, Weill Cornell Medical College in Qatar, Room C008, Qatar Foundation, Education City, PO Box 24144, Doha, Qatar
- Department of Medicine, Weill Cornell Medical College, New York, USA
| | - Shahrad Taheri
- Department of Medicine, Weill Cornell Medical College in Qatar, Room C008, Qatar Foundation, Education City, PO Box 24144, Doha, Qatar.
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25
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Phenotypic vulnerability of energy balance responses to sleep loss in healthy adults. Sci Rep 2015; 5:14920. [PMID: 26446681 PMCID: PMC4597338 DOI: 10.1038/srep14920] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Accepted: 09/14/2015] [Indexed: 12/11/2022] Open
Abstract
Short sleep duration is a risk factor for increased hunger and caloric intake, late-night eating, attenuated fat loss when dieting, and for weight gain and obesity. It is unknown whether altered energy-balance responses to sleep loss are stable (phenotypic) over time, and the extent to which individuals differ in vulnerability to such responses. Healthy adults experienced two laboratory exposures to sleep restriction separated by 60–2132 days. Caloric intake, meal timing and weight were objectively measured. Although there were substantial phenotypic differences among participants in weight gain, increased caloric intake, and late-night eating and fat intake, responses within participants showed stability across sleep restriction exposures. Weight change was consistent in both normal-weight and overweight adults. Weight change and increased caloric intake were more stable in men whereas late-night eating was consistent in both genders. This is the first evidence of phenotypic differential vulnerability and trait-like stability of energy balance responses to repeated sleep restriction, underscoring the need for biomarkers and countermeasures to predict and mitigate this vulnerability.
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