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Association of Insomnia with Anxiety and Depression in Type 2 Diabetic Patients: A Cross-Sectional Study

BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with sleep disorders, which in turn may lead to anxiety and depression. Sleep deprivation impairs glucose metabolism causing a decrease in insulin sensitivity and glucose tolerance. The present study aimed to determine the association of inso...

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Autores principales: Shinalieva, Karlyghash, Kasenova, Asemgul, Akhmetzhanova, Zauresh, Alzhanova, Dinara, Eszhanova, Laura, Bekenova, Ainur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shiraz University of Medical Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541539/
https://www.ncbi.nlm.nih.gov/pubmed/37786466
http://dx.doi.org/10.30476/ijms.2023.96017.2755
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author Shinalieva, Karlyghash
Kasenova, Asemgul
Akhmetzhanova, Zauresh
Alzhanova, Dinara
Eszhanova, Laura
Bekenova, Ainur
author_facet Shinalieva, Karlyghash
Kasenova, Asemgul
Akhmetzhanova, Zauresh
Alzhanova, Dinara
Eszhanova, Laura
Bekenova, Ainur
author_sort Shinalieva, Karlyghash
collection PubMed
description BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with sleep disorders, which in turn may lead to anxiety and depression. Sleep deprivation impairs glucose metabolism causing a decrease in insulin sensitivity and glucose tolerance. The present study aimed to determine the association of insomnia with anxiety and depression in patients with T2DM. METHODS: A cross-sectional study was conducted in 2020 at the Endocrinological Department of City Clinical Hospital №1, affiliated with Astana Medical University (Astana, Kazakhstan). A total of 376 patients with decompensated T2DM were included in the study. Insomnia was assessed using the Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI). Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS). Multivariable logistic regression was used to assess the association of insomnia with anxiety and depression. RESULTS: All patients showed signs of sleep disturbances. Based on the HADS cutoff score >8, anxiety and depression were observed in 48 (12.80%) and 46 (12.20%) patients, respectively. PSQI, ISI, and HADS indicators were associated with an increased risk of anxiety and depression symptoms. In terms of anxiety, the adjusted odds ratio for PSQI and ISI scores were 1.09 (P=0.08) and 1.07 (P=0.01), respectively. These for depression were 1.10 (P=0.06) and 1.07 (P=0.01), respectively. CONCLUSION: Sleep quality is an important indicator of psychological health in patients with T2DM, especially those who exhibit signs of anxiety and depression.
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spelling pubmed-105415392023-10-02 Association of Insomnia with Anxiety and Depression in Type 2 Diabetic Patients: A Cross-Sectional Study Shinalieva, Karlyghash Kasenova, Asemgul Akhmetzhanova, Zauresh Alzhanova, Dinara Eszhanova, Laura Bekenova, Ainur Iran J Med Sci Original Article BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with sleep disorders, which in turn may lead to anxiety and depression. Sleep deprivation impairs glucose metabolism causing a decrease in insulin sensitivity and glucose tolerance. The present study aimed to determine the association of insomnia with anxiety and depression in patients with T2DM. METHODS: A cross-sectional study was conducted in 2020 at the Endocrinological Department of City Clinical Hospital №1, affiliated with Astana Medical University (Astana, Kazakhstan). A total of 376 patients with decompensated T2DM were included in the study. Insomnia was assessed using the Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI). Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS). Multivariable logistic regression was used to assess the association of insomnia with anxiety and depression. RESULTS: All patients showed signs of sleep disturbances. Based on the HADS cutoff score >8, anxiety and depression were observed in 48 (12.80%) and 46 (12.20%) patients, respectively. PSQI, ISI, and HADS indicators were associated with an increased risk of anxiety and depression symptoms. In terms of anxiety, the adjusted odds ratio for PSQI and ISI scores were 1.09 (P=0.08) and 1.07 (P=0.01), respectively. These for depression were 1.10 (P=0.06) and 1.07 (P=0.01), respectively. CONCLUSION: Sleep quality is an important indicator of psychological health in patients with T2DM, especially those who exhibit signs of anxiety and depression. Shiraz University of Medical Sciences 2023-09 /pmc/articles/PMC10541539/ /pubmed/37786466 http://dx.doi.org/10.30476/ijms.2023.96017.2755 Text en Copyright: © Iranian Journal of Medical Sciences https://creativecommons.org/licenses/by-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NoDerivatives 4.0 International License. This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Original Article
Shinalieva, Karlyghash
Kasenova, Asemgul
Akhmetzhanova, Zauresh
Alzhanova, Dinara
Eszhanova, Laura
Bekenova, Ainur
Association of Insomnia with Anxiety and Depression in Type 2 Diabetic Patients: A Cross-Sectional Study
title Association of Insomnia with Anxiety and Depression in Type 2 Diabetic Patients: A Cross-Sectional Study
title_full Association of Insomnia with Anxiety and Depression in Type 2 Diabetic Patients: A Cross-Sectional Study
title_fullStr Association of Insomnia with Anxiety and Depression in Type 2 Diabetic Patients: A Cross-Sectional Study
title_full_unstemmed Association of Insomnia with Anxiety and Depression in Type 2 Diabetic Patients: A Cross-Sectional Study
title_short Association of Insomnia with Anxiety and Depression in Type 2 Diabetic Patients: A Cross-Sectional Study
title_sort association of insomnia with anxiety and depression in type 2 diabetic patients: a cross-sectional study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541539/
https://www.ncbi.nlm.nih.gov/pubmed/37786466
http://dx.doi.org/10.30476/ijms.2023.96017.2755
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