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Prevalence and Correlates of Disordered Sleep in Southeast Asian Indians with Type 2 Diabetes

BACKGROUND: Sleep disturbances are common in individuals with diabetes. Patients with diabetes have higher rates of insomnia, excessive daytime sleepiness and increased incidence of restless leg syndrome. The purpose of our study was to investigate the prevalence and determine the predictors of slee...

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Autores principales: Rajendran, Amarabalan, Parthsarathy, Shruthi, Tamilselvan, Bubblu, Seshadri, Krishna G., Shuaib, Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Diabetes Association 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283830/
https://www.ncbi.nlm.nih.gov/pubmed/22363924
http://dx.doi.org/10.4093/dmj.2012.36.1.70
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author Rajendran, Amarabalan
Parthsarathy, Shruthi
Tamilselvan, Bubblu
Seshadri, Krishna G.
Shuaib, Mohamed
author_facet Rajendran, Amarabalan
Parthsarathy, Shruthi
Tamilselvan, Bubblu
Seshadri, Krishna G.
Shuaib, Mohamed
author_sort Rajendran, Amarabalan
collection PubMed
description BACKGROUND: Sleep disturbances are common in individuals with diabetes. Patients with diabetes have higher rates of insomnia, excessive daytime sleepiness and increased incidence of restless leg syndrome. The purpose of our study was to investigate the prevalence and determine the predictors of sleep dysfunction in patients with type 2 diabetes in a southeast Asian Indian population. METHODS: We enrolled 120 patients with type 2 diabetes who attended an endocrinology clinic in a tertiary-care hospital. After we collected their demographic data, we recorded their anthropometric measurements. Fasting, postprandial blood glucose values and glycosylated hemoglobin (HbA1c) values were then obtained. Quality of sleep was evaluated in all the patients through the Pittsburgh Sleep Quality Index (PSQI), which is a questionnaire that assesses sleep quality and disturbances over a monthlong period. A Global Sleep Quality score ≥5 discriminates between good and poor sleepers. RESULTS: The mean global PSQI score was 7.08 (standard deviation, 3.89), which suggested poor sleep quality in this population. Sixty-nine percent of patients had a global PSQI score ≥5, indicating that they were "poor sleepers." The global PSQI score positively correlated with the duration of diabetes and was also independent of other variables such as age, gender, body mass index, HbA1c, or medications. CONCLUSION: We found a high prevalence of sleep dysfunction in patients with type 2 diabetes. We also found a significant correlation between duration of diabetes and quality of sleep, independent of other variables. It is important for physicians to address the quality and duration of sleep in patients with type 2 diabetes.
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spelling pubmed-32838302012-02-23 Prevalence and Correlates of Disordered Sleep in Southeast Asian Indians with Type 2 Diabetes Rajendran, Amarabalan Parthsarathy, Shruthi Tamilselvan, Bubblu Seshadri, Krishna G. Shuaib, Mohamed Diabetes Metab J Original Article BACKGROUND: Sleep disturbances are common in individuals with diabetes. Patients with diabetes have higher rates of insomnia, excessive daytime sleepiness and increased incidence of restless leg syndrome. The purpose of our study was to investigate the prevalence and determine the predictors of sleep dysfunction in patients with type 2 diabetes in a southeast Asian Indian population. METHODS: We enrolled 120 patients with type 2 diabetes who attended an endocrinology clinic in a tertiary-care hospital. After we collected their demographic data, we recorded their anthropometric measurements. Fasting, postprandial blood glucose values and glycosylated hemoglobin (HbA1c) values were then obtained. Quality of sleep was evaluated in all the patients through the Pittsburgh Sleep Quality Index (PSQI), which is a questionnaire that assesses sleep quality and disturbances over a monthlong period. A Global Sleep Quality score ≥5 discriminates between good and poor sleepers. RESULTS: The mean global PSQI score was 7.08 (standard deviation, 3.89), which suggested poor sleep quality in this population. Sixty-nine percent of patients had a global PSQI score ≥5, indicating that they were "poor sleepers." The global PSQI score positively correlated with the duration of diabetes and was also independent of other variables such as age, gender, body mass index, HbA1c, or medications. CONCLUSION: We found a high prevalence of sleep dysfunction in patients with type 2 diabetes. We also found a significant correlation between duration of diabetes and quality of sleep, independent of other variables. It is important for physicians to address the quality and duration of sleep in patients with type 2 diabetes. Korean Diabetes Association 2012-02 2012-02-17 /pmc/articles/PMC3283830/ /pubmed/22363924 http://dx.doi.org/10.4093/dmj.2012.36.1.70 Text en Copyright © 2012 Korean Diabetes Association http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Rajendran, Amarabalan
Parthsarathy, Shruthi
Tamilselvan, Bubblu
Seshadri, Krishna G.
Shuaib, Mohamed
Prevalence and Correlates of Disordered Sleep in Southeast Asian Indians with Type 2 Diabetes
title Prevalence and Correlates of Disordered Sleep in Southeast Asian Indians with Type 2 Diabetes
title_full Prevalence and Correlates of Disordered Sleep in Southeast Asian Indians with Type 2 Diabetes
title_fullStr Prevalence and Correlates of Disordered Sleep in Southeast Asian Indians with Type 2 Diabetes
title_full_unstemmed Prevalence and Correlates of Disordered Sleep in Southeast Asian Indians with Type 2 Diabetes
title_short Prevalence and Correlates of Disordered Sleep in Southeast Asian Indians with Type 2 Diabetes
title_sort prevalence and correlates of disordered sleep in southeast asian indians with type 2 diabetes
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283830/
https://www.ncbi.nlm.nih.gov/pubmed/22363924
http://dx.doi.org/10.4093/dmj.2012.36.1.70
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