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Liu X, Hong C, Liu Z, Fan L, Yin M, Chen Y, Ren X, Gu X. Association of sleep disorders with asthma: a meta-analysis. BMJ Open Respir Res 2023; 10:e001661. [PMID: 37735102 PMCID: PMC10514641 DOI: 10.1136/bmjresp-2023-001661] [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: 02/15/2023] [Accepted: 09/08/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Animal experiments and clinical trials have revealed a potential relationship between sleep disorders and asthma. However, the associations between these factors remain unclear. MATERIAL AND METHODS We searched PubMed, Embase, Web of Science and Cochrane Library databases for eligible studies published before 30 December 2022. Studies investigating the association between sleep disorders (insomnia, poor sleep quality and insufficient sleep time) and asthma were selected. Sleep disorders were assessed using questionnaires, interviews, or medical records. Asthma was diagnosed based on medical history and drug use. The Newcastle-Ottawa Scale and the Agency for Healthcare Research and Quality checklist were employed for quality assessment. We used OR with 95% CI as the effect measures and forest plots to display the results. Heterogeneity was evaluated using I2 statistics and subgroup analyses were performed for bias analysis. Publication bias was evaluated using the funnel plots and Egger's test. RESULTS Twenty-three studies were included in the primary analysis, which suggested a positive association between sleep disorders and asthma (OR: 1.38, 95% CI 1.10 to 1.74). Subgroup analyses were conducted according to the study design, age, family history of asthma and type of sleep disorders. We did not find any association between sleep disorders and asthma in children aged ˂12 years (OR: 1.13, 95% CI 0.97 to 1.32). The association was insignificant in studies where the family history of asthma was adjusted for (OR: 1.16, 95% CI 0.94 to 1.42). Funnel plot and Egger's test indicated a significant publication bias. CONCLUSION Sleep disorders are associated with an increased prevalence and incidence of asthma. However, the quality of the evidence was low because of potential biases. PROSPERO REGISTRATION NUMBER CRD42023391989.
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Affiliation(s)
- Xueqian Liu
- Emergency Department, Taicang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Taicang, Jiangsu, China
| | - Cheng Hong
- Cardiovascular Medicine Department, Taicang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Taicang, Jiangsu, China
| | - Zhiyu Liu
- Department of Gastroenterology, The Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Lihua Fan
- Cardiovascular Medicine Department, Taicang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Taicang, Jiangsu, China
| | - Moqing Yin
- Cardiovascular Medicine Department, Taicang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Taicang, Jiangsu, China
| | - Yunhu Chen
- Cardiovascular Medicine Department, Taicang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Taicang, Jiangsu, China
| | - Xiang Ren
- Emergency Department, Taicang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Taicang, Jiangsu, China
| | - Xuefang Gu
- Outpatient Department, Taicang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Taicang, Jiangsu, China
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Lee DG, Gui XY, Mukovozov I, Fleming P, Lynde C. Sleep Disturbances in Children With Atopic Dermatitis: A Scoping Review. J Cutan Med Surg 2023; 27:157-164. [PMID: 36880965 PMCID: PMC10068401 DOI: 10.1177/12034754231159337] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Abstract
Atopic dermatitis (AD) is associated with various quality of life concerns including poor sleep. Sleep impairments in children with AD are associated with increased risk of short stature, metabolic syndrome, mental illness and neurocognitive dysfunction. Although the association between AD and sleep disturbance is well established, the specific types of sleep disturbance in pediatric AD patients and their underlying mechanisms are not fully understood. A scoping literature review was performed to characterize and summarize the types of sleep disturbance in children (less than 18 years of age) with AD. 31 papers met inclusion criteria and extracted data were analyzed in an iterative manner. Two types of sleep disturbances were found to be more prevalent in pediatric AD patients in comparison to controls. One category was related to loss of sleep (increased frequency or duration of awakenings, increased sleep fragmentation, delayed sleep onset, decreased total sleep duration, and decreased sleep efficiency). Another category was associated with unusual behaviors during sleep (restlessness/limb movement/scratching, sleep-disordered breathing including obstructive sleep apnea and snoring, nightmares, nocturnal enuresis and nocturnal hyperhidrosis). Some mechanisms underlying these sleep disturbances include pruritus and induced scratching and increased proinflammatory markers induced by sleep loss. Sleep disturbance appears to be associated with AD. We recommend clinicians to consider interventions that may reduce sleep disturbances in children with AD. Further investigation of these sleep disturbances is needed to elucidate pathophysiology, develop additional treatments, and reduce negative impacts on the health outcomes and quality of life in pediatric AD patients.
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Affiliation(s)
- Dong Goo Lee
- 12358 Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Xi Yao Gui
- 12358 Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Ilya Mukovozov
- 12358 Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,12358 Department of Dermatology and Skin Science, University of British Columbia, Vancouver, British Columbia, Canada
| | - Patrick Fleming
- 12366 Division of Dermatology, University of Toronto, Toronto, ON, Canada
| | - Charles Lynde
- 12366 Division of Dermatology, University of Toronto, Toronto, ON, Canada.,The Lynde Institute for Dermatology, Markham, ON, Canada
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Brew BK, Caffrey Osvald E, Gong T, Hedman AM, Holmberg K, Larsson H, Ludvigsson JF, Mubanga M, Smew AI, Almqvist C. Pediatric asthma and non-allergic comorbidities: a review of current risk and proposed mechanisms. Clin Exp Allergy 2022; 52:1035-1047. [PMID: 35861116 PMCID: PMC9541883 DOI: 10.1111/cea.14207] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/16/2022] [Accepted: 06/27/2022] [Indexed: 11/30/2022]
Abstract
It is increasingly recognized that children with asthma are at a higher risk of other non‐allergic concurrent diseases than the non‐asthma population. A plethora of recent research has reported on these comorbidities and progress has been made in understanding the mechanisms for comorbidity. The goal of this review was to assess the most recent evidence (2016–2021) on the extent of common comorbidities (obesity, depression and anxiety, neurodevelopmental disorders, sleep disorders and autoimmune diseases) and the latest mechanistic research, highlighting knowledge gaps requiring further investigation. We found that the majority of recent studies from around the world demonstrate that children with asthma are at an increased risk of having at least one of the studied comorbidities. A range of potential mechanisms were identified including common early life risk factors, common genetic factors, causal relationships, asthma medication and embryologic origins. Studies varied in their selection of population, asthma definition and outcome definitions. Next, steps in future studies should include using objective measures of asthma, such as lung function and immunological data, as well as investigating asthma phenotypes and endotypes. Larger complex genetic analyses are needed, including genome‐wide association studies, gene expression–functional as well as pathway analyses or Mendelian randomization techniques; and identification of gene–environment interactions, such as epi‐genetic studies or twin analyses, including omics and early life exposure data. Importantly, research should have relevance to clinical and public health translation including clinical practice, asthma management guidelines and intervention studies aimed at reducing comorbidities.
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Affiliation(s)
- Bronwyn K Brew
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden.,National Perinatal Epidemiology and Statistics Unit, Centre for Big Data Research in Health and School of Clinical Medicine, University of New South Wales, Australia
| | - Emma Caffrey Osvald
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden.,Pediatric Allergy and Pulmonology Unit, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Sweden
| | - Tong Gong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Anna M Hedman
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Kirsten Holmberg
- Child Health and Parenting (CHAP), Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Henrik Larsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden.,School of Medical Sciences, Örebro University, Sweden
| | - Jonas F Ludvigsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden.,Department of Pediatrics, Orebro University Hospital, Orebro, Sweden
| | - Mwenya Mubanga
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Awad I Smew
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden.,Pediatric Allergy and Pulmonology Unit, Astrid Lindgren Children's Hospital, Karolinska University Hospital, Sweden
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4
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Li R, Chen Y, Zhao A, Huang L, Long Z, Kang W, Yin Y, Tong S, Guo Y, Li S. Exploring genetic association of insomnia with allergic disease and asthma: a bidirectional Mendelian randomization study. Respir Res 2022; 23:84. [PMID: 35392909 PMCID: PMC8991606 DOI: 10.1186/s12931-022-02009-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 03/30/2022] [Indexed: 12/02/2022] Open
Abstract
Background Insomnia is highly prevalent among patients with allergic disease and asthma; however, few studies have investigated their causal relationship. We aim to explore the causal association between insomnia and allergic disease/asthma by performing bidirectional Mendelian randomization (MR) study. Methods Instrumental variables were constructed using single nucleotide polymorphisms (SNPs). Summary statistics for insomnia, allergic disease, and asthma were obtained from four large-scale genome-wide association studies (GWAS) of European ancestry. The pleiotropy analysis was applied by using the MR-Egger intercept test and the MR pleiotropy residual sum and outlier (MR-PRESSO) test. MR analyses were conducted by using inverse variance weighted (IVW), weighted median, and MR-Egger method. Results Based on the multiplicative random effects IVW method, the MR analysis showed that genetically predicted insomnia was causally associated with an increased risk of allergic disease [odds ratio (OR) = 1.054, 95% confidence interval (CI) = 1.031–1.078, P = 3.817 × 10–06], asthma (OR = 1.043, 95% CI = 1.010–1.077, P = 9.811 × 10–03), moderate-severe asthma (OR = 1.168, 95% CI = 1.069–1.277, P = 6.234 × 10–04), and adult-onset asthma (OR = 1.086, 95% CI = 1.037–1.138, P = 4.922 × 10–04). In bidirectional analyses, we did not find evidence supporting the reverse causality relations. Conclusions Our MR study suggested that genetically predicted insomnia was the risk factor for allergic disease and asthma. Improving sleep quality could be one of the cornerstones in the prevention of allergic disease and asthma. Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-02009-6.
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Affiliation(s)
- Rong Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Road, Huangpu District, Shanghai, 200025, China
| | - Yiting Chen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Road, Huangpu District, Shanghai, 200025, China
| | - Anda Zhao
- Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lili Huang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Road, Huangpu District, Shanghai, 200025, China
| | - Zichong Long
- School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Road, Huangpu District, Shanghai, 200025, China
| | - Wenhui Kang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Road, Huangpu District, Shanghai, 200025, China
| | - Yong Yin
- Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shilu Tong
- School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Road, Huangpu District, Shanghai, 200025, China.,Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,School of Public Health, Institute of Environment and Population Health, Anhui Medical University, Hefei, China.,School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Yongmei Guo
- Department of Neurology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, 528 Zhangheng Road, Pudong District, Shanghai, 201203, China.
| | - Shenghui Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Road, Huangpu District, Shanghai, 200025, China. .,MOE-Shanghai Key Laboratory of Children's Environmental Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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