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Jiang X, Zhu R, Li R, Dong X, Yuchi Y, Chang G, Jiang Y, Ren X, Wang C, Liu X. Gender-specific association between snoring and total sleep duration with type 2 diabetes mellitus in rural adults. Sleep Breath 2024; 28:2711-2719. [PMID: 39225721 DOI: 10.1007/s11325-024-03133-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 07/29/2024] [Accepted: 08/05/2024] [Indexed: 09/04/2024]
Abstract
PURPOSE To investigate the separate and joint association between snoring and total sleep duration with the risk of type 2 diabetes mellitus (T2DM) in both genders within Chinese rural community. METHODS The Henan Rural Cohort Study included a total of 28093 participants. Data on snoring and total sleep duration were obtained through the Pittsburgh Sleep Quality Index (PSQI). Binary logistic regression was employed to assess the correlation between snoring and total sleep duration with T2DM. RESULTS The prevalences of T2DM were 8.53% in males and 9.27% in females. Males exhibited a higher prevalence of snoring (34.90%) compared to females (22.42%), and the median of total sleep duration was also longer in males (8.83 h) than in females (8.67 h), respectively (P < 0.001). Females who snored had an adjusted odds ratio (OR) and 95% confidence interval (CI) for T2DM of 1.19 (1.06, 1.35) when contrasted with non-snorers. Compared with optimal total sleep duration (6-8 h), longer total sleep duration (≥ 8 h) increased the prevalence of T2DM by 17% (95%CI: 3%, 32%) in females. Additionally, the participants with shorter total sleep duration (< 6 h) and snoring have the highest risk of T2DM, with an increase of 91% (95%CI: 20%, 204%) than those with optimal total sleep duration and non-snorers in females. These significant associations were not found in males. CONCLUSIONS Snoring and longer total sleep duration independently elevated the prevalence of T2DM. Meantime, a synergistic relationship was observed between snoring and total sleep duration with a higher prevalence of T2DM. These associations exhibited gender-specific differences.
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Affiliation(s)
- Xili Jiang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Ruifang Zhu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Ruiying Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Yinghao Yuchi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Gaohua Chang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Yujie Jiang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Xiaoying Ren
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China.
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2
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Zong G, Mao W, Wen M, Cheng X, Liu G. Association of sleep patterns and disorders with metabolic dysfunction-associated steatotic liver disease and liver fibrosis in contemporary American adults. Ann Hepatol 2024; 30:101583. [PMID: 39270980 DOI: 10.1016/j.aohep.2024.101583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 08/28/2024] [Accepted: 08/28/2024] [Indexed: 09/15/2024]
Abstract
INTRODUCTION AND OBJECTIVES The impact of sleep on metabolic dysfunction-associated steatotic liver disease (MASLD) in American adults remains unclear. This study aimed to address the relationship of sleep patterns and disorders with MASLD and liver fibrosis comprehensively. MATERIALS AND METHODS This cross-sectional study included adult participants from the National Health and Nutrition Examination Survey 2017-2020. Multivariate adjusted regression analysis were used to examine the association of sleep with MASLD and liver fibrosis. We further addressed these associations using restricted cubic splines, mediation analysis, stratified analysis and multiple sensitivity analysis. RESULTS We enrolled 5368 participants. Certain sleep disorders, sleep duration, high sleep debt and specific sleep-wake time were associated with MASLD. Late workday sleep was a shared risk factor for MASLD and liver fibrosis. Short sleep on workdays and free days favored MASLD, whereas average weekly long sleep protected against MASLD. Workday, free day and average weekly optimal sleep duration was 7.5 h, 8 h and 7.78 h, respectively. Mediation analysis suggested that fasting glucose and high-density lipoprotein cholesterol indirectly mediated the relationship between sleep duration and MASLD, whereas stratified analysis showed that sex influenced the relationship, and that the correlation was only observed in women and specific age groups. CONCLUSIONS Sleep duration independently affected MASLD but only in women and specific age groups. Moreover, late sleep on workdays was a shared risk factor for MASLD and liver fibrosis. These results suggest targeting sleep behaviors for MASLD prevention and developing age- and sex-specific strategies.
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Affiliation(s)
- Guannan Zong
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Wangjia Mao
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ming Wen
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xiaoyun Cheng
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Guanghui Liu
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
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3
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Cai Y, Chen J, Deng X, Wang B, Huang J, Lian N, Lian N. Triglyceride-glucose index and combined indicators: effective indicators for screening NAFLD in snoring patients. BMC Pulm Med 2024; 24:359. [PMID: 39049008 PMCID: PMC11270774 DOI: 10.1186/s12890-024-03166-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 07/12/2024] [Indexed: 07/27/2024] Open
Abstract
AIMS Nonalcoholic fatty liver disease (NAFLD) is a common complication in snoring patients, especially in patients with obstructive sleep apnea syndrome (OSA). Triglyceride-glucose (TyG) index was a simple indicator of metabolic status and a surrogate marker of insulin resistance. This study aimed to explore the relationship between NAFLD and TyG index in snoring patients. METHODS A retrospective study was conducted. The successive snoring patients enrolled in the Sleep Center of the First Affiliated Hospital of Fujian Medical University and had abdominal ultrasonography were included. The clinical characteristics of patients in different quartile TyG groups were compared. The relationship of the TyG index and NAFLD were valued via logistic regression models and restricted cubic spline analysis. The value of TyG index in predicting NAFLD was determined by receiver operating characteristic curve (ROC curve). RESULTS A total of 463 NAFLD cases were found among the 654 snoring patients. TyG index was a risk factor of NAFLD in snoring patients (OR = 2.38, 95% CI = 1.71-3.36). The risk of NAFLD was much higher in patients with the highest quartile of TyG index (OR = 5.12, 95% CI = 2.85-9.22), compared with the lowest quartile group. Restricted cubic spline (RCS) analysis showed a significant dose-response relationship between TyG index and risk of NAFLD (p for non-linearity < 0.001). A combination of TyG, neck circumference and ESS score presented the acceptable AUC for the detection of NAFLD in snoring patients (0.746, 95% CI 0.701-0.790, p < 0.001). CONCLUSION The TyG index was a risk factor of NAFLD in snoring patients. A combination of TyG, neck circumferences and ESS score could act as a convenient and effective indicator for screening NAFLD in snoring patients.
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Affiliation(s)
- Yuqing Cai
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Jia Chen
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Xiaoyu Deng
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Biying Wang
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Jiefeng Huang
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Ningfang Lian
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Ningfang Lian
- Department of Respiratory and Critical Care Medicine, Respiratory Disease Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
- Department of Respiratory and Critical Care Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China.
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Bu LF, Xiong CY, Zhong JY, Xiong Y, Li DM, Hong FF, Yang SL. Non-alcoholic fatty liver disease and sleep disorders. World J Hepatol 2024; 16:304-315. [PMID: 38577533 PMCID: PMC10989311 DOI: 10.4254/wjh.v16.i3.304] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 01/11/2024] [Accepted: 02/18/2024] [Indexed: 03/27/2024] Open
Abstract
Studies have shown that non-alcoholic fatty liver disease (NAFLD) may be associated with sleep disorders. In order to explore the explicit relationship between the two, we systematically reviewed the effects of sleep disorders, especially obstructive sleep apnea (OSA), on the incidence of NAFLD, and analyzed the possible mechanisms after adjusting for confounding factors. NAFLD is independently associated with sleep disorders. Different sleep disorders may be the cause of the onset and aggravation of NAFLD. An excessive or insufficient sleep duration, poor sleep quality, insomnia, sleep-wake disorders, and OSA may increase the incidence of NAFLD. Despite that some research suggests a unidirectional causal link between the two, specifically, the onset of NAFLD is identified as a result of changes in sleep characteristics, and the reverse relationship does not hold true. Nevertheless, there is still a lack of specific research elucidating the reasons behind the higher risk of developing sleep disorders in individuals with NAFLD. Further research is needed to establish a clear relationship between NAFLD and sleep disorders. This will lay the groundwork for earlier identification of potential patients, which is crucial for earlier monitoring, diagnosis, effective prevention, and treatment of NAFLD.
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Affiliation(s)
- Lu-Fang Bu
- Department of Physiology, Fuzhou Medical College, Nanchang University, Fuzhou 344000, Jiangxi Province, China
- Key Laboratory of Chronic Diseases, Fuzhou Medical University, Fuzhou 344000, Jiangxi Province, China
- Technology Innovation Center of Chronic Disease Research in Fuzhou City, Fuzhou Science and Technology Bureau, Fuzhou 344000, Jiangxi Province, China
| | - Chong-Yu Xiong
- Department of Physiology, Fuzhou Medical College, Nanchang University, Fuzhou 344000, Jiangxi Province, China
- Key Laboratory of Chronic Diseases, Fuzhou Medical University, Fuzhou 344000, Jiangxi Province, China
- Technology Innovation Center of Chronic Disease Research in Fuzhou City, Fuzhou Science and Technology Bureau, Fuzhou 344000, Jiangxi Province, China
| | - Jie-Yi Zhong
- Department of Physiology, Fuzhou Medical College, Nanchang University, Fuzhou 344000, Jiangxi Province, China
- Key Laboratory of Chronic Diseases, Fuzhou Medical University, Fuzhou 344000, Jiangxi Province, China
- Technology Innovation Center of Chronic Disease Research in Fuzhou City, Fuzhou Science and Technology Bureau, Fuzhou 344000, Jiangxi Province, China
| | - Yan Xiong
- Department of Physiology, Fuzhou Medical College, Nanchang University, Fuzhou 344000, Jiangxi Province, China
- Key Laboratory of Chronic Diseases, Fuzhou Medical University, Fuzhou 344000, Jiangxi Province, China
- Technology Innovation Center of Chronic Disease Research in Fuzhou City, Fuzhou Science and Technology Bureau, Fuzhou 344000, Jiangxi Province, China
| | - Dong-Ming Li
- Department of Physiology, Fuzhou Medical College, Nanchang University, Fuzhou 344000, Jiangxi Province, China
- Key Laboratory of Chronic Diseases, Fuzhou Medical University, Fuzhou 344000, Jiangxi Province, China
- Technology Innovation Center of Chronic Disease Research in Fuzhou City, Fuzhou Science and Technology Bureau, Fuzhou 344000, Jiangxi Province, China
| | - Fen-Fang Hong
- Experimental Center of Pathogen Biology, College of Medicine, Nanchang University, Nanchang 330006, Jiangxi Province, China
| | - Shu-Long Yang
- Department of Physiology, Fuzhou Medical College, Nanchang University, Fuzhou 344000, Jiangxi Province, China
- Key Laboratory of Chronic Diseases, Fuzhou Medical University, Fuzhou 344000, Jiangxi Province, China
- Technology Innovation Center of Chronic Disease Research in Fuzhou City, Fuzhou Science and Technology Bureau, Fuzhou 344000, Jiangxi Province, China.
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5
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Colaci C, Gambardella ML, Maria Scarlata GG, Boccuto L, Colica C, Luzza F, Scarpellini E, Mendez-Sanchez N, Abenavoli L. Dysmetabolic comorbidities and non-alcoholic fatty liver disease: a stairway to metabolic dysfunction-associated steatotic liver disease. HEPATOMA RESEARCH 2024; 10:16. [DOI: 10.20517/2394-5079.2023.134] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Abstract
Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease. This term does not describe the pathogenetic mechanisms and complications associated with NAFLD. The new definition, Metabolic Dysfunction-associated Steatotic Liver disease (MASLD), emphasizes the relationship between NAFLD and cardiometabolic comorbidities. Cardiovascular disease features, such as arterial hypertension and atherosclerosis, are frequently associated with patients with MASLD. Furthermore, these patients have a high risk of developing neoplastic diseases, primarily hepatocellular carcinoma, but also extrahepatic tumors, such as esophageal, gastric, and pancreatic cancers. Moreover, several studies showed the correlation between MASLD and endocrine disease. The imbalance of the gut microbiota, systemic inflammation, obesity, and insulin resistance play a key role in the development of these complications. This narrative review aims to clarify the evolution from NAFLD to the new nomenclature MASLD and evaluate its complications.
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6
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Sun Z, Ji J, Zuo L, Hu Y, Wang K, Xu T, Wang Q, Cheng F. Causal relationship between nonalcoholic fatty liver disease and different sleep traits: a bidirectional Mendelian randomized study. Front Endocrinol (Lausanne) 2023; 14:1159258. [PMID: 37334291 PMCID: PMC10272397 DOI: 10.3389/fendo.2023.1159258] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 05/19/2023] [Indexed: 06/20/2023] Open
Abstract
Background and aims Non-alcoholic fatty liver disease(NAFLD) is common worldwide and has previously been reported to be associated with sleep traits. However, it is not clear whether NAFLD changes sleep traits or whether the changes in sleep traits lead to the onset of NAFLD. The purpose of this study was to investigate the causal relationship between NAFLD and changes in sleep traits using Mendelian randomization. Methods We proposed a bidirectional Mendelian randomization (MR) analysis and performed validation analyses to dissect the association between NAFLD and sleep traits. Genetic instruments were used as proxies for NAFLD and sleep. Data of genome-wide association study(GWAS) were obtained from the center for neurogenomics and cognitive research database, Open GWAS database and GWAS catalog. Three MR methods were performed, including inverse variance weighted method(IVW), MR-Egger, weighted median. Results In total,7 traits associated with sleep and 4 traits associated with NAFLD are used in this study. A total of six results showed significant differences. Insomnia was associated with NAFLD (OR(95% CI)= 2.25(1.18,4.27), P = 0.01), Alanine transaminase levels (OR(95% CI)= 2.79(1.70, 4.56), P =4.71×10-5) and percent liver fat(OR(95% CI)= 1.31(1.03,1.69), P = 0.03). Snoring was associated with percent liver fat (1.15(1.05,1.26), P =2×10-3), alanine transaminase levels (OR(95% CI)= 1.27(1.08,1.50), P =0.04).And dozing was associated with percent liver fat(1.14(1.02,1.26), P =0.02).For the remaining 50 outcomes, no significant or definitive association was yielded in MR analysis. Conclusion Genetic evidence suggests putative causal relationships between NAFLD and a set of sleep traits, indicating that sleep traits deserves high priority in clinical practice. Not only the confirmed sleep apnea syndrome, but also the sleep duration and sleep state (such as insomnia) deserve clinical attention. Our study proves that the causal relationship between sleep characteristics and NAFLD is the cause of the change of sleep characteristics, while the onset of non-NAFLD is the cause of the change of sleep characteristics, and the causal relationship is one-way.
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7
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Wang Y, Shen R, Ge J. Association between self-reported snoring and metabolic-associated fatty liver disease: A cross-sectional analysis of the NHANES 2017-2018. Sleep Med 2023; 101:414-420. [PMID: 36516525 DOI: 10.1016/j.sleep.2022.11.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 11/15/2022] [Accepted: 11/28/2022] [Indexed: 12/03/2022]
Abstract
BACKGROUND Snoring may play an important role in a variety of diseases, especially metabolic diseases. However, there are no reports on the relationship between snoring and the risk of metabolic-associated fatty liver disease (MAFLD). This study aimed to investigate the association between snoring and MAFLD. METHODS A cross-sectional analysis was performed based on the National Health and Nutrition Examination Survey (NHANES) 2017-2018. Self-reported snoring frequency was grouped into four categories (never, rarely, occasionally, and frequently). MAFLD was diagnosed based on the evidence of hepatic steatosis and any of the following three conditions: overweight/obesity, diabetes mellitus or metabolic dysfunction. Logistic regression with sampling weights was used to examine the association between snoring and MAFLD. RESULTS A total of 5016 patients were included, and 50.14% of individuals had MAFLD. Compared with nonsnorers, those who snored frequently were associated with increased odds for MAFLD (odds ratio (OR): 1.376, 95% confidence interval (CI): 1.122-1.688, p trend <0.001). The subgroup analyses suggested that no significant interactions were found between snoring and other potential effect modifiers, including age, sex, body mass index (BMI), smoking status, chronic obstructive pulmonary disease (COPD) and hypertension. CONCLUSION Snoring was independently and positively associated with a higher prevalence of MAFLD, suggesting that attention to snoring may contribute to the early detection of MAFLD.
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Affiliation(s)
- Yang Wang
- Department of Cardiovascular Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Ruhua Shen
- Department of Cardiovascular Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
| | - Jianjun Ge
- Department of Cardiovascular Surgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China.
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8
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Fan H, Liu Z, Zhang X, Yuan H, Zhao X, Zhao R, Shi T, Wu S, Xu Y, Suo C, Chen X, Zhang T. Investigating the Association Between Seven Sleep Traits and Nonalcoholic Fatty Liver Disease: Observational and Mendelian Randomization Study. Front Genet 2022; 13:792558. [PMID: 35656325 PMCID: PMC9152285 DOI: 10.3389/fgene.2022.792558] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background and Aim: Aberrant sleep parameters are associated with the risk of nonalcoholic fatty liver disease (NAFLD). However, existing information is inconsistent among studies and involves reverse causation. Therefore, we aimed to investigate the observational associations and causations between sleep traits and NAFLD. Methods: We performed multivariable regression to assess observational associations of seven sleep traits (sleep duration, easiness of getting up in the morning, chronotype, nap during day, snoring, insomnia, and narcolepsy), and NAFLD in the UK Biobank (1,029 NAFLD). The Cox proportional hazards model was applied to derive hazard ratios and 95% confidence intervals (CIs). Furthermore, a bidirectional two-sample Mendelian randomization (MR) approach was used to explore the causal relationships between sleep traits and NAFLD. Results: In the multivariable regression model adjusted for potential confounders, getting up in the morning not at all easy (HR, 1.51; 95% CI, 1.27-1.78) and usually insomnia (HR, 1.46; 95% CI, 1.21-1.75) were associated with the risk of NAFLD. Furthermore, the easiness of getting up in the morning and insomnia showed a dose-response association with NAFLD (Ptrend <0.05). MR analysis found consistent causal effects of NAFLD on easiness of getting up in the morning (OR, 0.995; 95% CI, 0.990-0.999; p = 0.033) and insomnia (OR, 1.006; 95% CI, 1.001-1.011; p = 0.024). These results were robust to weak instrument bias, pleiotropy, and heterogeneity. Conclusions: Findings showed consistent evidence of observational analyses and MR analyses that trouble getting up in the morning and insomnia were associated with an increased risk of NAFLD. Bidirectional MR demonstrated causal effects of NAFLD on sleep traits.
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Affiliation(s)
- Hong Fan
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Zhenqiu Liu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China
| | - Xin Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Huangbo Yuan
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Xiaolan Zhao
- Department of Chronic Diseases Prevention, Taizhou Center for Disease Control and Prevention, Jiangsu, China
| | - Renjia Zhao
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Tingting Shi
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Sheng Wu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Yiyun Xu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Chen Suo
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Xingdong Chen
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Department of Chronic Diseases Prevention, Taizhou Center for Disease Control and Prevention, Jiangsu, China.,Human Phenome Institute, Fudan University, Shanghai, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China.,Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
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