Refluxo laringofaríngeo e bulimia nervosa: alterações vocais e larínegas

Cielo, Carla Aparecida; Didoné, Dayane Domeneghini; Torres, Enma Mariángel Ortiz; Lima, Joziane Padilha de Moraes

doi:10.1590/s1516-18462010005000130

Cited by 4 publications

(2 citation statements)

References 33 publications

(78 reference statements)

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“…Eating Disorders can affect them in many ways, e.g. voice dysfunction due to vomiting or gastroesophageal reflux disease (GERD) as part of BN [ 6 , 10 , 34 ], increased injuries due to muscle atrophy especially in females [ 8 ], also due to osteoporosis [ 43 ], koilonychia [ 40 ], fatigue and impaired brain function [ 43 ].…”

Section: Introductionmentioning

confidence: 99%

Eating disorders in musicians: a survey investigating self-reported eating disorders of musicians

Kapsetaki

Easmon

2017

Eat Weight Disord

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Purpose This study aimed to estimate the prevalence of eating disorders (EDs) in musicians, and to evaluate their relation to perfectionism, stress, anxiety and depression. Methods It examined: (1) the prevalence of EDs using the Eating Disorder Examination Questionnaire (EDE-Q), body mass index (BMI) and self-reports, (2) psychological risk factors using the Depression Anxiety Stress Scale (DASS-21) and perfectionism inventory and (3) demographic details, information about musical and career development, lifestyle, eating habits and health. A survey was distributed worldwide and a total of 301 Englishspeaking musicians aged 18 years and older participated. Results Our screening tools for EDs showed a high prevalence of EDs in musicians: the EDE-Q Global Score (EDE-QGS) showed pathological values in 18.66% of the musicians and when questioned about lifetime prevalence, 32.3% of the musicians answered positively. The median BMI was within the normal range. Regarding general mental health, the DASS-21 showed that depression and stress were severe, anxiety was extremely severe and the perfectionism inventory composite score was 26.53. There was no significant difference on the EDE-QGS between musicians who perform different types of music, but music students, professionals, soloists and musicians travelling overseas had a higher percentage of pathological EDE-QGS. Perfectionism was higher in classical musicians and there was a low positive correlation between EDE-QGS and the risk factors: perfectionism, depression, anxiety, stress, peer pressure and social isolation. Conclusion EDs are prevalent in musicians and possible risk factors are their increased perfectionism, depression, anxiety and stress due to the demands of their job.

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Section: Introductionmentioning

confidence: 99%

Eating disorders in musicians: a survey investigating self-reported eating disorders of musicians

Kapsetaki

Easmon

2017

Eat Weight Disord

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“…Os agentes prociné ticos aceleram o esvaziamento do esôfago e estô mago, produzindo maior pressão no esfíncter infe rior e os inibidores de bomba de próton promovem a inibição da produção do ácido gástrico. A inter venção cirúrgica também pode ser necessária em pacientes com sintomas crônicos e que não respondem satisfatoriamente ao tratamento medicamentoso (CIELO et al, 2011).…”

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Doença do Refluxo Gastroesofágico: uma revisão de literatura

Fraga

Martins

2017

CadUniFOA

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O refluxo gastroesofágico (RGE) é definido como o retorno passivo do conteúdo gástrico para o esôfago, independentemente de sua etiologia. Tal fenômeno pode ocorrer em circunstâncias fisiológicas ou patológicas e em qualquer indivíduo, seja criança ou adulto. Quando não está associado a doenças ou complicações, é denominado RGE fisiológico. O RGE patológico, ou doença do refluxo gastroesofágico (DRGE), possui prognóstico mais grave, além de abordagens diagnóstica e terapêutica diferentes. A DRGE cursa com os sintomas típicos (pirose e regurgitação), mas também pode se apresentar com as manifestações atípicas (dor torácica, sintomas respiratórios e otorrinolaringológicos). Em função dessas características, o primeiro passo para o diagnóstico adequado da DRGE é o conhecimento do conceito atual da afecção, dos diversos fatores de risco e das suas várias formas de apresentação clínica.

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Automated assessment of psychiatric disorders using speech: A systematic review

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Bentley

Ghosh

2020

Laryngoscope Investig Oto

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Objective There are many barriers to accessing mental health assessments including cost and stigma. Even when individuals receive professional care, assessments are intermittent and may be limited partly due to the episodic nature of psychiatric symptoms. Therefore, machine‐learning technology using speech samples obtained in the clinic or remotely could one day be a biomarker to improve diagnosis and treatment. To date, reviews have only focused on using acoustic features from speech to detect depression and schizophrenia. Here, we present the first systematic review of studies using speech for automated assessments across a broader range of psychiatric disorders. Methods We followed the Preferred Reporting Items for Systematic Reviews and Meta‐Analysis (PRISMA) guidelines. We included studies from the last 10 years using speech to identify the presence or severity of disorders within the Diagnostic and Statistical Manual of Mental Disorders (DSM‐5). For each study, we describe sample size, clinical evaluation method, speech‐eliciting tasks, machine learning methodology, performance, and other relevant findings. Results 1395 studies were screened of which 127 studies met the inclusion criteria. The majority of studies were on depression, schizophrenia, and bipolar disorder, and the remaining on post‐traumatic stress disorder, anxiety disorders, and eating disorders. 63% of studies built machine learning predictive models, and the remaining 37% performed null‐hypothesis testing only. We provide an online database with our search results and synthesize how acoustic features appear in each disorder. Conclusion Speech processing technology could aid mental health assessments, but there are many obstacles to overcome, especially the need for comprehensive transdiagnostic and longitudinal studies. Given the diverse types of data sets, feature extraction, computational methodologies, and evaluation criteria, we provide guidelines for both acquiring data and building machine learning models with a focus on testing hypotheses, open science, reproducibility, and generalizability. Level of Evidence 3a

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Refluxo laringofaríngeo e bulimia nervosa: alterações vocais e larínegas

Cited by 4 publications

References 33 publications

Eating disorders in musicians: a survey investigating self-reported eating disorders of musicians

Eating disorders in musicians: a survey investigating self-reported eating disorders of musicians

Doença do Refluxo Gastroesofágico: uma revisão de literatura

Automated assessment of psychiatric disorders using speech: A systematic review

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