Relationship between abdominal and neck fat with sleep disorders in obese patients

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DOI:

https://doi.org/10.1590/fm.2023.36108

Abstract

Introduction: Obesity is one of the main public health problem worldwide and it has a negative short- and long-term relationship with women's health. Assessment of this disorder is essential, as is a body composition assessed by dual-energy X-ray absorptiometry (DXA) with the new region of interest as the neck. Objective: To verify the association between abdominal and neck fat with sleep quality in obese women.  Methods: The sample, obtained from a Biomedical Engineering and health Program (PEBSatabase, was characterized by being obese female aged between 20 and 65 years. The tests performed were anthropometric assessment, sleep quality questionnaire, physical activity level, nutritional assessment, and body composition by dual-energy X-ray absorptiometry (DXA). For statistical analysis, the Shapiro-Wilk test, t test for independent samples, Kendall's Tau, linear and multiple regression and ROC curve were used. Results: The sample consisted of 15 individuals with a mean age of 45 ± 11.10 years, neck circumference of 41.50 ± 2.61 and abdominal circumference of 128.20 ± 11.62. We found no correlation between the regions of interest and the sleep quality questionnaire. Regression analysis shows non-significant statistical values for abdominal fat. The statistical test proved that the new region of interest in abdominal fat is closer to better sensitivity and has a greater relationship with sleep quality. Conclusion: there was no statistically significant correlation between the regions of interest and the sleep quality questionnaire. However, the abdominal fat region of interest was the point that presented the best association with sleep quality assessed by the Pittsburgh questionnaire.

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Author Biographies

Elena Marie Peixoto Ruthes, Universidade Tecnológica Federal do Paraná (UTFPR)

Laboratory for Studies in Biomedical Engineering and Health

Oslei Matos, Universidade Tecnológica Federal do Paraná (UTFPR)

Laboratory for Studies in Biomedical Engineering and Health

Brenda Carolina de Castro Lenardt, Universidade Tecnológica Federal do Paraná (UTFPR)

Laboratory for Studies in Biomedical Engineering and Health

Carlos Alberto Petroski, Universidade Tecnológica Federal do Paraná (UTFPR)

Laboratory for Studies in Biomedical Engineering and Health

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Published

2023-02-15

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Original Article