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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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Li Y, Tan S. Sleep factors were associated with a higher risk of MAFLD and significant fibrosis. Sleep Breath 2024; 28:1381-1391. [PMID: 38514588 DOI: 10.1007/s11325-024-03017-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/20/2024] [Accepted: 02/28/2024] [Indexed: 03/23/2024]
Abstract
PURPOSE The relationships of sleep factors separately and jointly with metabolic associated fatty liver disease (MAFLD) and significant fibrosis remain unclear. We intended to explore the relationships in the United States. METHODS This cross-sectional study included 4477 individuals from the National Health and Nutrition Examination Survey from 2017 to 2018. Information regarding each sleep factor (sleep duration, trouble sleeping, snoring, excessive daytime sleep, and sleep apnea symptoms) was obtained through questionnaires. MAFLD was diagnosed by transient elastography according to the consensus definitions. Multivariable logistic regression models were employed to explore relationships of sleep factors separately and jointly with MAFLD and significant fibrosis. RESULTS Participants having a poor sleep pattern was associated with higher MAFLD and significant fibrosis risk, and poor sleep pattern was related to about threefold (OR, 3.67; 95% CI, 1.82-7.37) increased risk of MAFLD remarkably. When examining specific factors of sleep patterns individually, trouble sleeping (OR, 1.53; 95% CI, 1.10-2.12), snoring (OR, 2.11; 95% CI, 1.40-3.19), excessive daytime sleep (OR, 1.57; 95% CI, 0.93-2.62), and sleep apnea symptoms (OR, 1.87; 95% CI, 1.13-3.10) were positively associated with the odds of MAFLD (all P < 0.05). However, sleep duration was not independently correlated with MAFLD or significant fibrosis. Sleep patterns showed similar relationships with MAFLD, regardless of all age, sex, physical activity, and shift work groups. CONCLUSIONS Poor sleep pattern was linked with a considerably higher risk of MAFLD and significant fibrosis.
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Affiliation(s)
- Yaxin Li
- Department of Gastroenterology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuhan, 430060, China
| | - Shiyun Tan
- Department of Gastroenterology, Renmin Hospital of Wuhan University, 99 Zhangzhidong Road, Wuhan, 430060, China.
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Liang X, He X, Liu Q, Ren Y, Xu S, Chen L, Wang F, Bi Y, Peng Z. The impact of dietary and sleep rhythms on blood pressure in children and adolescents: a cross-sectional study. Hypertens Res 2024; 47:649-662. [PMID: 37919430 DOI: 10.1038/s41440-023-01493-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/02/2023] [Accepted: 10/06/2023] [Indexed: 11/04/2023]
Abstract
Evidence about the relationship between meal and sleep time and CVD in children is scarce. The aims of this study were to describe the association between life rhythm patterns and blood pressure in children. This research was conducted among 5,608 children aged 6 to 15 years old in Chongqing and Sichuan provinces in 2021 and 2022. Dietary and sleep rhythms information was collected. The time of the first meal and last meal, and sleep time, were obtained. The mean age was 10.48 ± 2.24 years old, with 2958 (52.75%) male participants. The mean feeding window on weekdays was 11.69 h, 12.42 h, and 13.23 h for participants aged 6-7 years old, 8-12 years old and 13-15 years old, respectively. Weekday feeding window and last mealtime were positively correlated with blood pressure levels. And the changes in the feeding window between weekdays and weekends were significantly correlated with BP. Sleep duration and change in wake time were significantly correlated with SBP. Based on these results, this study identified the optimal combination of dietary and sleep rhythm interventions for children younger than 12 years of age and aged 12 and older, respectively. Disorder dietary and sleep rhythms disorders may correlate with elevated blood pressure levels, suggesting developing optimal dietary and sleep rhythm patterns could prevent the incidence of CVDs in children. The optimal dietary rhythm was defined by the indexes of breakfast time, dinner time and daily feeding window. As good meal patterns are defined as satisfied the following three items: for children younger than 12 years should have breakfast after 7:30 am; aged 12 years and over should have breakfast after 7 am; having dinner before 6 pm; daily feeding window less than 12.5 h. And less optimal dietary rhythm should satisfy any condition or eat dinner between 6 pm and 8 pm; and poor dietary rhythm should not satisfy any of the three criteria and eat dinner after 8 pm. Children with optimal dietary rhythm (in group A) had lower SBP (P < 0.001), DBP (P = 0.002) and MAP (P < 0.001) than those in group C.
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Affiliation(s)
- Xiaohua Liang
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China.
| | - Xiangqian He
- College of Medical Informatics, Medical Data Science Academy, Chongqing Medical University, Chongqing, 400014, China
| | - Qin Liu
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China
| | - Yanling Ren
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China
| | - Sipei Xu
- The First Department of Clinical Medicine, Chongqing Medical University, Chongqing, 400016, P. R. China
| | - Lan Chen
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China
| | - Fengming Wang
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China
| | - Yang Bi
- Department of Clinical Epidemiology and Biostatistics, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400016, China
| | - Zhilian Peng
- Traditional Chinese Medicine Hospital of Jiulongpo District, Chongqing, China
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Kaloth S, Visaria A. The implications of unmeasured confounders on sleep's complex relationship with cardiometabolic health. J Hypertens 2024; 42:383-384. [PMID: 38165058 DOI: 10.1097/hjh.0000000000003491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Affiliation(s)
- Srivarsha Kaloth
- Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
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Ashe N, Wozniak S, Conner M, Ahmed R, Demetres MR, Makarem N, Tehranifar P, Nandakumar R, Ghosh A. Association of extreme heat events with sleep and cardiovascular health: A scoping review. RESEARCH SQUARE 2023:rs.3.rs-3678410. [PMID: 38196642 PMCID: PMC10775383 DOI: 10.21203/rs.3.rs-3678410/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
BACKGROUND Extreme heat events (EHEs), driven by anthropogenic climate change, exacerbate the risk of cardiovascular disease (CVD), although the underlying mechanisms are unclear. Disturbances in sleep health, caused by excessive heat, may be one way EHEs increase the risk of incident or recurrent CVD. Our objective was to systematically review the empirical peer-reviewed literature on the relationship between EHEs, sleep health, and cardiovascular measures and outcomes, and narratively describe methodologies, evidence, and gaps in this area. METHODS A comprehensive literature search was performed in the following databases from inception - June 2023: Ovid MEDLINE, Ovid EMBASE, CINAHL, Web of Science and The Cochrane Library. Studies retrieved were then screened for eligibility against predefined inclusion/exclusion criteria. RESULTS Of the 2035 records screened, three studies met the inclusion criteria. Cardiovascular (CV) measures described included blood pressure (BP), heart rate (HR), and HR variability (no CVD outcomes were described) and objective and subjective measurements of sleep health outcomes included sleep duration, calmness, ease of falling asleep, ease of awakening, freshness after awakening, and sleep satisfaction. Two studies were controlled trials, and one was a cohort study. During EHEs, individuals slept for shorter periods of time and less efficiently, with greater degrees of HR variability in two of the three studies lasting at most 1-2 days; BP (both systolic and diastolic) significantly decreased during EHEs in two of the studies. No formal assessment of a mediating relationship between EHE exposure, sleep outcomes, and the CV measures was undertaken. CONCLUSIONS There is a paucity of data that examines the link between CVD, sleep, and extreme heat as a possible mechanism of elevated CVD risk during EHEs, despite a strong physiological rationale. Further research is needed to empirically test this relationship rigorously as EHEs become more frequent and their deleterious impacts of health increase.
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Affiliation(s)
- Nathan Ashe
- Weill Cornell Medical College: Weill Cornell Medicine
| | - Sarah Wozniak
- Weill Cornell Medical College: Weill Cornell Medicine
| | - Malcom Conner
- Weill Cornell Medical College: Weill Cornell Medicine
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Chen M, Yang Y, Baral K, Fu Y, Meng Y, Zhang Y, Sun F, Zhao M. Relationship between bisphenol A and the cardiovascular disease metabolic risk factors in American adults: A population-based study. CHEMOSPHERE 2023; 324:138289. [PMID: 36870620 DOI: 10.1016/j.chemosphere.2023.138289] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 02/27/2023] [Accepted: 03/01/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Bisphenol A (BPA) is widely used in personal care and consumer products. However, no study has reported a specific relationship between BPA concentrations and metabolic hazardous elements for cardiovascular diseases (CVDs). Consequently, in this study, we used six years of population-based NHANES data (2011-2016) to analyse the association between BPA concentrations and metabolic risk factors for CVDs. METHODS A total of 1467 participants were enrolled in our project. The participants in the study were divided into quartiles based on BPA levels (Q1: ≤0.6 ng/ml, Q2: 0.7-1.2 ng/ml, Q3: 1.3-2.3 ng/ml, Q4: ≥2.4 ng/ml). This study used multiple linear and multivariate logistic regression models to determine the association among BPA concentrations and CVD metabolic risk factors. RESULTS When the concentration of BPA was in Q3, fasting glucose concentrations were decreased by 3.87 mg/dl, and 2-h glucose concentrations were decreased by 16.24 mg/dl. When the concentration of BPA was in Q4, fasting glucose concentrations were decreased by 12.15 mg/dl, and diastolic blood pressure was increased by 2.08 mmHg. At the same time, compared to participants in the first quartile (Q1), those from the fourth quartile (Q4) of BPA concentrations had 21% higher odds of hypertension, 30% higher odds of obesity, 30.2% higher odds of central obesity, 4.5% higher odds of elevated HbA1c, 17% higher odds of elevated non-HDL cholesterol, and 60.8% higher odds of diabetes (compared to the lowest quartile, Q1). CONCLUSIONS We found that higher concentrations of BPA were linked with a higher metabolic risk for CVDs. Further regulation of BPA may need to be considered for the prevention of CVDs in adults.
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Affiliation(s)
- Mingcong Chen
- Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan China
| | - Yang Yang
- Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan China
| | - Krishna Baral
- Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan China
| | - Yicheng Fu
- Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan China
| | - Yang Meng
- Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan China
| | - Yang Zhang
- Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan China
| | - Fang Sun
- Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan China
| | - Mingyi Zhao
- Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan China.
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