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THU249 Use Of The Pittsburgh Sleep Quality Index In People WithT2DM: Initial Results Of The Diabetes Sleep Assessment (DSA) Study
Disclosure: S. Shaikh: None. S. Shaikh: None. S. Shaikh: None. A. Shaikh: None. M. Shaikh: None. Z. Memon: None. R. Sayed: None. Background: The Pittsburgh Sleep Quality Index (PSQI) is a well-known, validated, and reliable instrument used to measure the clinical construct of sleep quality. PSQI >...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555348/ http://dx.doi.org/10.1210/jendso/bvad114.686 |
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author | Shaikh, Shehla Shaikh, Salomi Shaikh, Shayaan Shaikh, Asma Shaikh, Mehvish Memon, Zaid Sayed, Rainah |
author_facet | Shaikh, Shehla Shaikh, Salomi Shaikh, Shayaan Shaikh, Asma Shaikh, Mehvish Memon, Zaid Sayed, Rainah |
author_sort | Shaikh, Shehla |
collection | PubMed |
description | Disclosure: S. Shaikh: None. S. Shaikh: None. S. Shaikh: None. A. Shaikh: None. M. Shaikh: None. Z. Memon: None. R. Sayed: None. Background: The Pittsburgh Sleep Quality Index (PSQI) is a well-known, validated, and reliable instrument used to measure the clinical construct of sleep quality. PSQI > 5 indicates poor sleep quality. Aim: To evaluate PSQI for psychometric properties through glycemic and anthropometric parameters, in T2DM who are on regular follow-up for glycemic care Method: We examined 236 known T2DM in the Diabetes Sleep Assessment (DSA) study, an ongoing observational study examining the effect of control of diabetes and metabolic parameters on the quality of sleep Results: The glycemic and anthropometric parameters were age 55 years (±11, 95% CI 53 to 56), BMI 28 kg/m2 (±5.8, 95% CI 28 to 29), FPG 140 mg/dl (±50, 95% CI 134 to 147), PPG 197 mg/dl (±76, 95% CI 188 to 207), HbA1c 7.4% (±1.2, 95% CI 7.1 to 7.6), duration of diabetes 9.2 years (±, 7.5 95% CI 8.3 to 10), neck circumference 36 cm (±6.2, 95% CI 36 to 37), waist circumference 117 cm (±17, 95% CI 114 to 119). 76.2% (n=180) had PSQI >5. The mean PSQI was 8.3 (±3.7, minimum 0, maximum 19, 95% CI 7.8. to 8.8). No significant correlation was found between PSQI and glycemic and anthropometric parameters. The greatest dysfunction (>3 component score) was reported to get up to go to the bathroom by 66.9% (n=158), followed by waking up in the middle of the night or early morning by 49.1% (n=116). The median time to go to bed and wake in the morning was 11 pm and 7 am, respectively. The median no. of hours to fall asleep, for actual sleep and in bed were 1, 6.5, and 8, respectively. Mean PSQI in the group with inadequate glycemic control (HbA1c >7, n=130), was 8.4 (±3.9) as compared to the group with adequate glycemic control (HbA1c ≤7, n=106), which had a mean PSQI 8.1 (±3.5), was comparable, p=0.56 (ns). Conclusion: Our results reveal that the anthropometric parameters have no significant impact on the quality of sleep and are independent of the glycemic control in T2DM. The need to go to the bathroom at night and wake up in the night or early morning were the largest contributors to the poor quality of sleep. The result of our study needs large-scale, multi-centric collaboration to further address the gaps and challenges to improve the quality of sleep in T2DM Presentation: Thursday, June 15, 2023 |
format | Online Article Text |
id | pubmed-10555348 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105553482023-10-06 THU249 Use Of The Pittsburgh Sleep Quality Index In People WithT2DM: Initial Results Of The Diabetes Sleep Assessment (DSA) Study Shaikh, Shehla Shaikh, Salomi Shaikh, Shayaan Shaikh, Asma Shaikh, Mehvish Memon, Zaid Sayed, Rainah J Endocr Soc Diabetes And Glucose Metabolism Disclosure: S. Shaikh: None. S. Shaikh: None. S. Shaikh: None. A. Shaikh: None. M. Shaikh: None. Z. Memon: None. R. Sayed: None. Background: The Pittsburgh Sleep Quality Index (PSQI) is a well-known, validated, and reliable instrument used to measure the clinical construct of sleep quality. PSQI > 5 indicates poor sleep quality. Aim: To evaluate PSQI for psychometric properties through glycemic and anthropometric parameters, in T2DM who are on regular follow-up for glycemic care Method: We examined 236 known T2DM in the Diabetes Sleep Assessment (DSA) study, an ongoing observational study examining the effect of control of diabetes and metabolic parameters on the quality of sleep Results: The glycemic and anthropometric parameters were age 55 years (±11, 95% CI 53 to 56), BMI 28 kg/m2 (±5.8, 95% CI 28 to 29), FPG 140 mg/dl (±50, 95% CI 134 to 147), PPG 197 mg/dl (±76, 95% CI 188 to 207), HbA1c 7.4% (±1.2, 95% CI 7.1 to 7.6), duration of diabetes 9.2 years (±, 7.5 95% CI 8.3 to 10), neck circumference 36 cm (±6.2, 95% CI 36 to 37), waist circumference 117 cm (±17, 95% CI 114 to 119). 76.2% (n=180) had PSQI >5. The mean PSQI was 8.3 (±3.7, minimum 0, maximum 19, 95% CI 7.8. to 8.8). No significant correlation was found between PSQI and glycemic and anthropometric parameters. The greatest dysfunction (>3 component score) was reported to get up to go to the bathroom by 66.9% (n=158), followed by waking up in the middle of the night or early morning by 49.1% (n=116). The median time to go to bed and wake in the morning was 11 pm and 7 am, respectively. The median no. of hours to fall asleep, for actual sleep and in bed were 1, 6.5, and 8, respectively. Mean PSQI in the group with inadequate glycemic control (HbA1c >7, n=130), was 8.4 (±3.9) as compared to the group with adequate glycemic control (HbA1c ≤7, n=106), which had a mean PSQI 8.1 (±3.5), was comparable, p=0.56 (ns). Conclusion: Our results reveal that the anthropometric parameters have no significant impact on the quality of sleep and are independent of the glycemic control in T2DM. The need to go to the bathroom at night and wake up in the night or early morning were the largest contributors to the poor quality of sleep. The result of our study needs large-scale, multi-centric collaboration to further address the gaps and challenges to improve the quality of sleep in T2DM Presentation: Thursday, June 15, 2023 Oxford University Press 2023-10-05 /pmc/articles/PMC10555348/ http://dx.doi.org/10.1210/jendso/bvad114.686 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Diabetes And Glucose Metabolism Shaikh, Shehla Shaikh, Salomi Shaikh, Shayaan Shaikh, Asma Shaikh, Mehvish Memon, Zaid Sayed, Rainah THU249 Use Of The Pittsburgh Sleep Quality Index In People WithT2DM: Initial Results Of The Diabetes Sleep Assessment (DSA) Study |
title | THU249 Use Of The Pittsburgh Sleep Quality Index In People WithT2DM: Initial Results Of The Diabetes Sleep Assessment (DSA) Study |
title_full | THU249 Use Of The Pittsburgh Sleep Quality Index In People WithT2DM: Initial Results Of The Diabetes Sleep Assessment (DSA) Study |
title_fullStr | THU249 Use Of The Pittsburgh Sleep Quality Index In People WithT2DM: Initial Results Of The Diabetes Sleep Assessment (DSA) Study |
title_full_unstemmed | THU249 Use Of The Pittsburgh Sleep Quality Index In People WithT2DM: Initial Results Of The Diabetes Sleep Assessment (DSA) Study |
title_short | THU249 Use Of The Pittsburgh Sleep Quality Index In People WithT2DM: Initial Results Of The Diabetes Sleep Assessment (DSA) Study |
title_sort | thu249 use of the pittsburgh sleep quality index in people witht2dm: initial results of the diabetes sleep assessment (dsa) study |
topic | Diabetes And Glucose Metabolism |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10555348/ http://dx.doi.org/10.1210/jendso/bvad114.686 |
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