Risco para síndrome da apneia obstrutiva do sono e sua relação com consumo alimentar

Carvalho, Juliana Bonfleur; Andrade, Grasiela Konkolisc Pina de; Nascimento, L. A. do; Rodrigues, A.L.C.C.; Suiter, E.; Bolognesi, Junia; Medeiros, Kelly Leonel; Severine, A.N.

doi:10.34024/rnc.2015.v23.7980

Cited by 5 publications

(8 citation statements)

References 22 publications

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“…An original study by Saygin et al (2016) 16 with 337 university medical students from Turkey identified that only 5 (1.5%) were diagnosed with higher OSA risk. According to Khassawneh et al (2018) 17 this percentage reached 5.4% on higher education students from Jordan, whereas it was found by Carvalho et al (2015) 19 that this percentage reached 23,13% on Sirian-Lebanese Hospital from southest Brazil, in our study OSA risk was 12.2% on the population studied.…”

Section: Discussioncontrasting

confidence: 64%

Evaluation of Quality of Life in Individuals at Risk of Obstructive Sleep Apnea and their Anthrometric Correlations

Cavalcante¹,

Silva²,

Feitoza³

2021

IJAERS

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Sleep is a biological condition capable of restoring the body from daily activities, its deprivation can be caused by several disorders, which includes Obstructive Sleep Apnea (OSA). Obesity, among others anthropometric quantities, belongs to the risk factors for OSA. The aim of this study was to evaluate possible relationships between anthropometric factors and the risk of OSA and their correlations with quality of life in students. Analytical observational cross-sectional study carried out with undergraduate university students of both sexes. The characteristics of age, sex, weight and anthropometric measures were used and two questionnaires were applied: STOP-BANG and SAQLI. The sample consisted of 90 participants, of whom 87.8% were considered normal for OSA (Group 1) and 12.2% were at risk of OSA (Group 2). The most influential measures for the Body Mass Index (BMI) were neck circumference (NC) and waist circumference (WC), with associations of +0.311 and +0.580, respectively. The largest problem in the quality of life of the participants was regarding the symptoms of the disease, while the measures that most influenced it were the waist-to-hip ratio (+0.608) and WC (+0.406). Most of the participants had an adequate BMI, while in Group 2, most had a high BMI. The most related problems with quality of life were morning headache, excessive daytime sleepiness and fatigue. It is suggested that BMI and anthropometric measurements increase the likelihood that the individual is at risk for OSA and, consequently, interfere with quality of life. I.Among the manifestations of OSA are excessive daytime sleepiness, tiredness, anxiety, irritability and morning headache. The risk factors for its development involve several mechanisms, from age and sex to chronic diseases. One of the main factors is obesity, especially for Edirlânia Rose Borges Cavalcante et. al.

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Section: Discussioncontrasting

confidence: 64%

Evaluation of Quality of Life in Individuals at Risk of Obstructive Sleep Apnea and their Anthrometric Correlations

Cavalcante¹,

Silva²,

Feitoza³

2021

IJAERS

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“…A previous study demonstrated the association reason of chance of 13.95% (p<0.001) for the occurrence of sleep obstructive apnea syndrome with high risk for obese patients, in comparison with overweight (7.02%) and eutrophic (2.14%) ones, and 25% of the individuals presented high consumption of fat (Carvalho et al 2015).…”

Section: Discussionmentioning

confidence: 90%

“…However, a generic interpretation of the findings in this study points that greater concentration of fat, greater BMI and low body water concentration (tissue dehydration) negatively impacted sleep quality, specifically on sleep disturbances, customary sleep efficiency and sleep duration. Although no studies, with similar methodological profile, were found demonstrating such correlations, other studies demonstrated general causal relation between increased body fat and impaired sleep (Carvalho et al 2015;Lustosa et al 2016;Monçale Neto et al 2016;Ruthes et al 2017;Zimberg et al 2017;Andrade et al 2018;Cardoso and Chagas 2019;Heath et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Sleep quality and body composition in a nursing team

Coelho

Sinhoroto²,

Magnabosco

et al. 2022

Biosci. J.

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Recent studies have shown that nursing professionals have affected sleep quality, yet no relation between sleep quality and body composition has been established. The present study investigated the relation between body composition and sleep quality in nursing professionals. It was a transversal, quantitative, descriptive, and analytical study. Nursing workers from HC-UFU were randomly selected to participate in this study. Interviews were done with validated questionnaire to evaluate sleep quality of the professionals, and a bioimpedance exam was done with a tetrapolar device. Two hundred forty-three professionals of the nursing team participated in the survey, mostly females (n=205; 84.4%), nursing technicians (53.1%). Average abdominal circumference was 91.97±13.83 cm, body fat was 31.668.24% or 24.0711.50 kg. The body mass index (BMI) was 27.094.63. Most participants evaluated sleep quality as bad (n=99; 40.7%) and “Sleep Latency” between 31 and 60 minutes (n=74; 30.5%) in the dominion “Subjective Sleep Quality”. Correlations were observed between: percentage of body water X Sleep Duration Dominion (r=-0.135; p<0.05); water resistance in the body X Dominion Sleep Efficacy (r=0.149; p<0.05); percentage of body fat X “Disfunction During the Day” (r=0.233; p<0.01); fat mass (kg) and fat percentages X “Sleep disturbance”(r=0.148; r=0.177; r=0.182; p<0.01) respectively; BMI X “Sleep Disturbance”, (r=0.146; p<0.05) as well as percentage of lean mass and body water X “Sleep Disturbance” (r=-0.244; r=0.247; p<0.01). This is the first study comparing sleep quality with body composition data in a nursing team. It became clear that more studies should be done to obtain greater knowledge about the health profile of nursing teams and, therefore, establish better plans and solutions for the group studied.

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“…Advancing age is the principal risk factor associated with OSA [4]. Also, sleep disorders are correlated with decreased fiber intake, increased carbohydrate intake, and increased fat consumption [5]. Obese patients are more likely to have a positive OSA diagnosis, mainly due to the increased fat deposition in the neck region.…”

Section: Rbfex Introductionmentioning

confidence: 99%

Relação da apneia obstrutiva do sono com consumo de oxigênio, atividade física e alimentação

Brito¹,

Guimarães

Fernandes³

et al. 2021

Rev Bras Fisiol Exerc

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Objetivo: Avaliar o consumo máximo de oxigênio (VO2máx), nível de atividade física, consumo alimentar e qualidade de vida em pacientes com apneia obstrutiva do sono (AOS). Métodos: Estudo descritivo quali-quantitativo com análise transversal a partir de aplicação de questionários estruturados, realizado em uma clínica privada de Petrolina, PE. A qualidade de vida foi avaliada pelo WHOQOL-bref, o consumo alimentar pelo formulário de marcadores do consumo alimentar que consta no Protocolo do SISVAN e o nível de atividade física pela versão curta do IPAQ. Resultados: Dos 16 pacientes incluídos, 6 não tinham AOS, 4 apresentaram AOS leve, 2 AOS moderada e 4 AOS grave. Sedentarismo foi prevalente em 20% dos pacientes com AOS leve, em 50% dos com AOS moderada e em 75% dos com AOS grave. Consumo alimentar saudável prevaleceu em todos os grupos, com maior consumo de alimentos não saudáveis por pacientes com AOS grave. Foi identificado predomínio de qualidade de vida regular em todos os grupos, necessitando melhorar especialmente o domínio físico de todos eles. Tanto VO2máx quanto o limiar anaeróbico apresentaram valores reduzidos à medida que a gravidade da doença aumentava, sendo menores os valores nos pacientes com a forma mais grave da doença. Conclusão: Foi constatada relação inversa entre AOS mais grave com o VO2máx e os níveis de atividade física dos pacientes analisados. Há um maior consumo de alimentos não saudáveis com má alimentação e comportamento sedentário que constituem importantes fatores de risco para o desenvolvimento e agravamento da doença.

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Risco para síndrome da apneia obstrutiva do sono e sua relação com consumo alimentar

Cited by 5 publications

References 22 publications

Evaluation of Quality of Life in Individuals at Risk of Obstructive Sleep Apnea and their Anthrometric Correlations

Evaluation of Quality of Life in Individuals at Risk of Obstructive Sleep Apnea and their Anthrometric Correlations

Sleep quality and body composition in a nursing team

Relação da apneia obstrutiva do sono com consumo de oxigênio, atividade física e alimentação

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Risco para síndrome da apneia obstrutiva do sono e sua relação com consumo alimentar

Cited by 5 publications

References 22 publications

Evaluation of Quality of Life in Individuals at Risk of Obstructive Sleep Apnea and their Anthrometric Correlations

Evaluation of Quality of Life in Individuals at Risk of Obstructive Sleep Apnea and their Anthrometric Correlations

Sleep quality and body composition in a nursing team

Relação da apneia obstrutiva do sono com consumo de oxigênio, atividade fí­sica e alimentação

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Relação da apneia obstrutiva do sono com consumo de oxigênio, atividade física e alimentação