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Merlo S, Briley PM. Allergies, asthma, and sleep problems in adults who stutter. JOURNAL OF FLUENCY DISORDERS 2024; 81:106063. [PMID: 38851135 DOI: 10.1016/j.jfludis.2024.106063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 05/27/2024] [Accepted: 05/30/2024] [Indexed: 06/10/2024]
Abstract
PURPOSE Previous studies have suggested that allergies, asthma, and sleep problems are prevalent in those who stutter. This study analyzed similar data for a broad age group of adults who stutter (AWS). METHOD Data from the 2012 National Health Interview Survey were analyzed. Adults from 18 to 60 + years of age reported a) to have stuttered, b) to have had any allergy, asthma, or acid reflux, c) to have had insomnia/trouble sleeping and daytime negative consequences, and d) average sleeping hours per day in the past 12 months. RESULTS The sample included 320 AWS and 33,043 controls. AWS were at greater odds of respiratory, food, and skin allergies (OR = 2.38, 2.36, and 2.09, respectively), as well as asthma and acid reflux (OR = 2.30 and 2.01, respectively) than controls. AWS were at greater odds of insomnia/trouble sleeping, oversleeping, excessive sleepiness, and fatigue than controls (OR = 2.11, 1.71, 2.67, and 1.81, respectively). The subgroup of AWS with no allergy, asthma, and acid reflux were also at greater odds of insomnia/trouble sleeping and excessive sleepiness than controls (OR = 2.13 and 3.11, respectively). Differences were found in specific age groups: younger/middle-aged AWS reported more allergies, asthma, and acid reflux than controls, while older AWS did not; younger/middle-aged AWS reported more insomnia/trouble sleeping than controls, while older AWS reported more oversleeping. CONCLUSIONS Findings on younger and middle-aged AWS are similar to previous ones on children and adolescents who stutter. Differences regarding younger/middle-aged and older AWS could be consequence of environmental variables.
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Affiliation(s)
- Sandra Merlo
- Brazilian Fluency Institute, Sao Paulo, SP, Brazil.
| | - Patrick M Briley
- Department of Communication Sciences & Disorders, East Carolina University, Greenville, NC, United States
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Studart-Pereira LM, Bianchini EMG, Assis M, Bussi MT, Corrêa CDC, Cunha TCA, Drager LF, Ieto V, Lorenzi-Filho G, de Luccas GR, Brasil EL, Sovinski SRP, Zancanella E, Pires GN. Brazilian Consensus on Sleep-Focused Speech-Language-Hearing Sciences - 2023 Brazilian Sleep Association. Sleep Sci 2023; 16:489-506. [PMID: 38370880 PMCID: PMC10869236 DOI: 10.1055/s-0043-1776109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 02/20/2024] Open
Abstract
Introduction This consensus aimed to develop a structured document presenting the role of sleep-focused Speech-Language-Hearing (SPH) Sciences (SPHS). The recommendations were based on the expertise of specialists and on evidence in the literature, aiming to guide the coverage of this area and the consequent improvement in the quality of the professionals' approach. Methods A Delphi method was conducted with 49 SLH pathologists (SLHP), four sleep physicians, one dentist, one physical therapist, and one methodologist. Four Delphi panel rounds were conducted in Google Forms. The items were analyzed based on the panelists' percentage of agreement; consensuses were reached when ⅔ (66.6%) of valid responses were on a same on a same answer (either "agree" or "disagree"). Results Participants voted on 102 items. The mean consensus rate was 89.9% ± 10.9%. The essential topics were the importance of professional training, the SLH diagnosis, and the SLH treatment of sleep disorders. It was verified that all fields of the SLHS are related to the area of sleep; that sleep-focused SLH pathologists (SLHP) are the responsible for assessing, indicating, and conducting specific orofacial myofunctional therapy for sleep-disordered breathing alone or in combination with other treatments; that SLHP are included in interdisciplinary teams in the area of sleep in public and private services. Discussion The Brazilian consensus on sleep-focused SLHS is a landmark in this area. This consensus described the scope of action of sleep-focused SLHP and systematized recommendations being useful as a reference for the professional practice in the area of sleep.
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Affiliation(s)
- Luciana Moraes Studart-Pereira
- Brazilian Sleep Association, São Paulo Brazil.
- Department of Speech-Language-Hearing Science, Federal University of Pernambuco, Recife Brazil.
| | | | - Márcia Assis
- Brazilian Sleep Association, São Paulo Brazil.
- Clínica do Sono de Curitiba, Hospital São Lucas, Curitibá, Brazil.
| | - Marieli Timpani Bussi
- Institute of Otorhinolaryngology & Head and Neck Surgery at UNICAMP, IOU, São Paulo Brazil.
| | | | - Thays Crosara Abrahão Cunha
- Brazilian Association of Sleep Dentistry, São Paulo Brazil.
- Núcleo de Ensino, Odontologia do Sono, São Paulo, Brazil.
| | - Luciano Ferreira Drager
- Brazilian Sleep Association, São Paulo Brazil.
- Hypertension Units, Institute of the Heart (InCor), and Course on Nephrology, University of São Paulo, São Paulo Brazil.
| | - Vanessa Ieto
- Speech-Language-Hearing Council, Brazilian Sleep Association, São Paulo Brazil.
| | | | - Gabriele Ramos de Luccas
- Department of Speech-Language Pathology and Audiology, Bauru School of Dentistry, University of São Paulo, Bauru Brazil.
| | - Evelyn Lucien Brasil
- Brazilian Sleep Association, São Paulo Brazil.
- Department of Critical Care Medicina, Hospital Israelita Albert Einstein, São Paulo Brazil.
| | | | - Edilson Zancanella
- Brazilian Association of Sleep Medicine, São Paulo Brazil.
- State University of Campinas, Campinas, São Paulo Brazil.
| | - Gabriel Natan Pires
- Departamento de Psicobiologia, Universidade Federal de São Paulo – São Paulo Brazil.
- Sleep Institute, São Paulo Brazil.
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Mohammadi H, Maazinezhad S, Lorestani E, Zakiei A, Dürsteler KM, Brühl AB, Sadeghi-Bahmani D, Brand S. Sleep Problems, Social Anxiety and Stuttering Severity in Adults Who Do and Adults Who Do Not Stutter. J Clin Med 2022; 12:jcm12010161. [PMID: 36614966 PMCID: PMC9821465 DOI: 10.3390/jcm12010161] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 12/11/2022] [Accepted: 12/18/2022] [Indexed: 12/28/2022] Open
Abstract
Background: While there is sufficient evidence that children and adolescents who stutter reported more impaired sleep compared to children and adolescents who did not stutter, findings among adults who stutter (AWS) were scarce. Furthermore, stuttering is associated with issues related to verbal communication in a social context. As such, it was conceivable that AWS reported higher scores for social anxiety, compared to adults who do not stutter (AWNS). In the present study, we tested whether AWS reported higher sleep complaints compared to AWNS. We further tested whether scores for social anxiety and stuttering independently predicted sleep disturbances. Methods: A total of 110 AWS (mean age; 28.25 years, 27.30% females) and 162 AWNS (mean age; 29.40 years, 51.20% females) completed a series of self-rating questionnaires covering sociodemographic information, sleep disturbances and social anxiety. Adults with stuttering further completed a questionnaire on stuttering. Results: Compared to AWNS, AWS reported a shorter sleep duration, a lower sleep efficiency, higher scores for drug use in terms of sleep-promoting medications (significant p-values and medium effect sizes), and an overall higher PSQI score (significant p-values and large effect size), when controlling for age and social anxiety. Next, while p-values were always significant for subjective sleep quality, sleep disturbances, and daytime functioning, when controlling for age and social anxiety, their effect sizes were trivial or small. For sleep latency, the p-value was not significant and the effect size was trivial. Among AWS, higher scores for stuttering and older age, but not social anxiety, predicted higher sleep disturbances. The association between higher sleep disturbances and higher stuttering severity was greatest among those AWS with highest scores for social anxiety. Conclusions: When compared to AWNS, AWS self-reported higher sleep disturbances, which were associated with older age, and higher scores for stuttering severity, but not with social anxiety. Adults who stutter might be routinely asked for their sleep quality.
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Affiliation(s)
- Hiwa Mohammadi
- Neuroscience Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah 6734667149, Iran
- Sleep Disorders Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah 6734667149, Iran
| | - Soroush Maazinezhad
- Sleep Disorders Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah 6734667149, Iran
| | - Elaheh Lorestani
- Department of Psychology, Tarbiat Modares University, Tehran 1411713116, Iran
| | - Ali Zakiei
- Sleep Disorders Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah 6734667149, Iran
| | - Kenneth M. Dürsteler
- Department of Addictive Disorders, Psychiatric University Clinic Basel, 4002 Basel, Switzerland
- Department for Psychiatry, Psychotherapy and Psychosomatic, Psychiatric Hospital, University of Zurich, 3002 Zurich, Switzerland
| | - Annette Beatrix Brühl
- Center for Affective, Stress and Sleep Disorders (ZASS), Psychiatric University Hospital Basel, 4002 Basel, Switzerland
| | | | - Serge Brand
- Sleep Disorders Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah 6734667149, Iran
- Center for Affective, Stress and Sleep Disorders (ZASS), Psychiatric University Hospital Basel, 4002 Basel, Switzerland
- Division of Sport and Psychosocial Health, Department of Sport, Exercise, and Health, University of Basel, 4052 Basel, Switzerland
- Substance Abuse Prevention Research Center and Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah 6715847141, Iran
- School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran 1417466191, Iran
- Center for Disaster Psychiatry and Disaster Psychology, Psychiatric University Hospital Basel, 4002 Basel, Switzerland
- Correspondence:
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Meng P, Pan C, Cheng S, Li C, Yao Y, Liu L, Cheng B, Yang X, Zhang Z, Chen Y, Zhang J, Zhang H, Wen Y, Jia Y, Guo X, Zhang F. Evaluating the role of rare genetic variation in sleep duration. Sleep Health 2022; 8:536-541. [PMID: 35907708 DOI: 10.1016/j.sleh.2022.05.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 04/22/2022] [Accepted: 05/24/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVES To explore the roles of rare and high-impact variants in sleep duration. DESIGN Based on the recently released UK Biobank 200k exome dataset, an exome-wide association study was conducted to detect rare variants (minor allele frequency <0.01) contributing to sleep duration. Variant annotations were performed by the software tool ANNOVAR. Gene-based burden tests of sleep duration were conducted by the SKAT R-package. After quality control, 137,047 subjects were included in this study. CAUSALdb database was used to explore the related mental traits of identified genes. RESULTS We detected 730,572 variants with MAF < 1%, including 3873 frameshift variants, 3977 nonframeshift variants, 449,632 nonsynonymous variants, 1293 startloss variants, 10,254 stopgain variants, 413 stoploss variants, 261,130 synonymous variants, and 3102 variants are annotated as unknown. The burden test of exonic variants detected two exome-wide significant associations for sleep duration including TMIE at 3p21.31 (PBonferroni adjusted = 0.015) and ZIC2 at 13q32.3 (PBonferroni adjusted = 0.047). There are only nonsynonymous contained in TMIE; as for ZIC2, we detected 2 annotations of variants: nonsynonymous (PBonferroni adjusted =2.04 × 10-4) and nonframeshift (PBonferroni adjusted =0.85). TMIE and ZIC2 were reported to be associated with several mental traits, such as chronotype, depression, and brain natriuretic peptide in published study. CONCLUSION This study reported 2 novel candidate genes for a sleep duration, supporting the roles of rare genetic variants in the regulation of sleep duration.
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Affiliation(s)
- Peilin Meng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chuyu Pan
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chun'e Li
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yao Yao
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xuena Yang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Zhen Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yujing Chen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Jingxi Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Huijie Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xiong Guo
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
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