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Depression, anxiety, stress and socio-demographic factors for poor glycaemic control in patients with type II diabetes

OBJECTIVE: This study aims to identify risks induced by depression, anxiety, stress, and socio-demographic factors associated with poor glycaemic control among type II diabetes mellitus patients in Kuala Terengganu, Malaysia. METHODS: This cross-sectional study was performed in two Malaysian health...

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Autores principales: Nini Shuhaida, Mat H., Siti Suhaila, Mohd Y., Azidah, Kadir A., Norhayati, Noor M., Nani, Draman, Juliawati, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taibah University 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695081/
https://www.ncbi.nlm.nih.gov/pubmed/31435416
http://dx.doi.org/10.1016/j.jtumed.2019.03.002
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author Nini Shuhaida, Mat H.
Siti Suhaila, Mohd Y.
Azidah, Kadir A.
Norhayati, Noor M.
Nani, Draman
Juliawati, Muhammad
author_facet Nini Shuhaida, Mat H.
Siti Suhaila, Mohd Y.
Azidah, Kadir A.
Norhayati, Noor M.
Nani, Draman
Juliawati, Muhammad
author_sort Nini Shuhaida, Mat H.
collection PubMed
description OBJECTIVE: This study aims to identify risks induced by depression, anxiety, stress, and socio-demographic factors associated with poor glycaemic control among type II diabetes mellitus patients in Kuala Terengganu, Malaysia. METHODS: This cross-sectional study was performed in two Malaysian health clinics by using the Malay version of a self-administered questionnaire. This instrument contains a diabetes care profile, a 21-item version of the Depression Anxiety Stress Scales (DASS21), and a Malaysian Medication Adherence Score (MalMAS). Simple and multiple logistic regression analyses were performed. RESULTS: A total of 338 type II diabetes mellitus patients responded (response rate 93.1%). The proportion of patients with poor glycaemic control was 76.0%. Multiple logistic regression analysis showed that 1) social support scores [Adj. OR (95% CI): 1.06 (1.03,1.10); p = 0.001]; 2) unemployment [Adj. OR (95% CI): 0.46 (0.22,0.95); p = 0.035]; 3) pensioner status [Adj. OR (95% CI): 0.28 (0.13,0.61); p = 0.001]; and 4) perception of diabetes as interfering with daily living activities [Adj. OR (95% CI): 3.18 (1.17,8.70); p = 0.024] were significant factors for poor glycaemic control. CONCLUSIONS: Unemployment, perception of diabetes’ interference with daily living activities, and social support are significantly correlated with poor glycaemic control. Further studies assessing other important clinical and psychosocial factors that may influence glycaemic control are suggested. A younger age range of participants is recommended for better outcomes and interventional implementation of findings.
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spelling pubmed-66950812019-08-21 Depression, anxiety, stress and socio-demographic factors for poor glycaemic control in patients with type II diabetes Nini Shuhaida, Mat H. Siti Suhaila, Mohd Y. Azidah, Kadir A. Norhayati, Noor M. Nani, Draman Juliawati, Muhammad J Taibah Univ Med Sci Original Article OBJECTIVE: This study aims to identify risks induced by depression, anxiety, stress, and socio-demographic factors associated with poor glycaemic control among type II diabetes mellitus patients in Kuala Terengganu, Malaysia. METHODS: This cross-sectional study was performed in two Malaysian health clinics by using the Malay version of a self-administered questionnaire. This instrument contains a diabetes care profile, a 21-item version of the Depression Anxiety Stress Scales (DASS21), and a Malaysian Medication Adherence Score (MalMAS). Simple and multiple logistic regression analyses were performed. RESULTS: A total of 338 type II diabetes mellitus patients responded (response rate 93.1%). The proportion of patients with poor glycaemic control was 76.0%. Multiple logistic regression analysis showed that 1) social support scores [Adj. OR (95% CI): 1.06 (1.03,1.10); p = 0.001]; 2) unemployment [Adj. OR (95% CI): 0.46 (0.22,0.95); p = 0.035]; 3) pensioner status [Adj. OR (95% CI): 0.28 (0.13,0.61); p = 0.001]; and 4) perception of diabetes as interfering with daily living activities [Adj. OR (95% CI): 3.18 (1.17,8.70); p = 0.024] were significant factors for poor glycaemic control. CONCLUSIONS: Unemployment, perception of diabetes’ interference with daily living activities, and social support are significantly correlated with poor glycaemic control. Further studies assessing other important clinical and psychosocial factors that may influence glycaemic control are suggested. A younger age range of participants is recommended for better outcomes and interventional implementation of findings. Taibah University 2019-04-20 /pmc/articles/PMC6695081/ /pubmed/31435416 http://dx.doi.org/10.1016/j.jtumed.2019.03.002 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Nini Shuhaida, Mat H.
Siti Suhaila, Mohd Y.
Azidah, Kadir A.
Norhayati, Noor M.
Nani, Draman
Juliawati, Muhammad
Depression, anxiety, stress and socio-demographic factors for poor glycaemic control in patients with type II diabetes
title Depression, anxiety, stress and socio-demographic factors for poor glycaemic control in patients with type II diabetes
title_full Depression, anxiety, stress and socio-demographic factors for poor glycaemic control in patients with type II diabetes
title_fullStr Depression, anxiety, stress and socio-demographic factors for poor glycaemic control in patients with type II diabetes
title_full_unstemmed Depression, anxiety, stress and socio-demographic factors for poor glycaemic control in patients with type II diabetes
title_short Depression, anxiety, stress and socio-demographic factors for poor glycaemic control in patients with type II diabetes
title_sort depression, anxiety, stress and socio-demographic factors for poor glycaemic control in patients with type ii diabetes
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6695081/
https://www.ncbi.nlm.nih.gov/pubmed/31435416
http://dx.doi.org/10.1016/j.jtumed.2019.03.002
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