Risk of depression among Bangladeshi type 2 diabetic patients

Chowdhury, SN; Karim, Md Nazmul; Selim, Shahjada; Ahmed, Faruqe; Azad, Abul Kalam; Maksud, Shamsul Ahsan; Rahaman, Mohammad Ferdous Ur; Uddin, Monica; Chowdhury, Mmh

doi:10.1016/j.dsx.2017.07.030

Cited by 11 publications

(9 citation statements)

References 30 publications

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“…In the present study, predefined thresholds for normal (0–7), borderline abnormal (8-10), and abnormal (11-21) levels were used to categorize levels of anxiety and depression [ 43 ]. The cutoff (> 8) utilized to screen for symptoms for anxiety and depression for each subscale was the same as used previously in the Bangladesh population [ 44 , 46 ]. In the present study, Cronbach’s alpha of the anxiety and depression subscales were 0.80 and 0.70, respectively, and overall Cronbach’s alpha of the HADS scale was 0.83, indicating good reliability.…”

Section: Methodsmentioning

confidence: 99%

“…The raw scores for each subscale are summed as total scores ranging from 0 to 21 for each subscale. The present study employed the Bangla HADS described recently [44]. The most widely used standardized translation procedure, proposed by Beaton et al (2000), was used to perform the back translation for this scale [45].…”

Section: Hospital Anxiety and Depression Scale (Hads)mentioning

confidence: 99%

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Prevalence and correlates of anxiety and depression in frontline healthcare workers treating people with COVID-19 in Bangladesh

et al. 2021

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Background Healthcare workers (HCWs) who are in the frontline during the COVID-19 pandemic are often under significant pressures that may predispose them to symptoms of poor mental health. This study aimed to investigate the prevalence of anxiety and depression among HCWs and factors correlated with mental health concerns during the COVID-19 pandemic in Bangladesh. And, it also aimed to evaluate the psychometric properties of the Bangla version of the Hospital Anxiety and Depression Scale (HADS). Methods A cross-sectional survey was conducted between July and August, 2020. A self-reported online questionnaire was utilized to collect data. The survey included questions concerning socio-demographic, lifestyle, and work setting, as well as the HADS. A confirmatory factor analysis (CFA) and multiple linear regression analysis were performed. Results Data from 803 HCWs (50.7% male; mean age: 27.3 [SD = 6.9]; age range: 18-58 years) were included in the final analysis. The Bangla HADS was psychometrically sound, and demonstrated good internal consistency and reliability (α = 0.83), and excellent construct validity. Prevalence estimates of anxiety and depression were 69.5%, and 39.5%, respectively, for less severe symptomology (at least borderline abnormal), and 41.2% and 15.7% for more severe (at least abnormal) symptomology. Regression analyses with the total HADS score as a dependent variable revealed significant (p < 0.05) associations with female gender, moderate and poor health status, infrequent physical exercising, smoking, having had regrets about one’s profession because of the pandemic and associated experiences, not updating on the latest COVID-19-related research, experiencing discrimination in the workplace, and facing social problems due to working in a lab or hospital during the COVID-19 pandemic. Conclusions Symptoms of anxiety and depression are prevalent among HCWs during the COVID-19 pandemic in Bangladesh. The findings suggest a need for screening for mental health concerns, and employing early intervention to help these individuals.

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Section: Methodsmentioning

confidence: 99%

Section: Hospital Anxiety and Depression Scale (Hads)mentioning

confidence: 99%

Prevalence and correlates of anxiety and depression in frontline healthcare workers treating people with COVID-19 in Bangladesh

et al. 2021

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“…The raw scores for each subscale are summed as total scores ranging from 0 to 21 for each sub-scale. The present study employed the Bangla HADS described recently [29]. The most widely used standardized translation, proposed by Beaton et al (2000), was used to perform the back translation for this scale [30].…”

Section: Hospital Anxiety and Depression Scale (Hads)mentioning

confidence: 99%

“…In the present study, predefined thresholds for normal (0-7), borderline abnormal (8-10), and abnormal (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)) levels were used to categorize levels of anxiety and depression [28]. The cutoff (>8) utilized to screen for symptoms for anxiety and depression for each sub-scale was the same as used previously in the Bangladesh population [29,31]. In the present study, Cronbach's alpha of the anxiety and depression subscales were 0.80 and 0.70, respectively, and overall Cronbach's alpha of the HADS scale was 0.83, indicating good reliability.…”

Section: Hospital Anxiety and Depression Scale (Hads)mentioning

confidence: 99%

Prevalence and correlates of anxiety and depression in frontline healthcare workers treating people with COVID-19 in Bangladesh

Tasnim¹,

Sujan²,

Islam³

et al. 2020

Preprint

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Background: Healthcare workers (HCWs) who are in the frontline during the COVID-19 pandemic are often under significant pressures which may predispose them to mental ill-health. This study aimed to investigate the prevalence of anxiety and depression among HCWs and factors correlated with mental problems during the COVID-19 pandemic in Bangladesh.Methods: A cross-sectional survey was conducted between July and August 2020. A self-reported online questionnaire was utilized to collect data. The survey included questions concerning socio-demographic, lifestyle, and work setting and the Hospital Anxiety and Depression Scale (HADS).Results: Data from 803 HCWs (50.7% male; mean age: 27.3 [SD=6.9]; age range: 18-58 years) were included in analyses. Prevalence estimates of anxiety and depression were, respectively, 69.5% and 39.5% for at least borderline abnormal, 41.2% and 15.7% for at least abnormal symptoms. Regression analyses with HADS-score as dependent variable revealed significant (p<0.05) associations with female sex, moderate and poor health status, irregular physical exercising, smoking, having had regrets about their profession because of the pandemic and many unexpected experiences, not updating on the latest COVID-19-related research, experiencing discrimination in the workplace, and facing social problems due to working in a lab or hospital.Conclusions: Symptoms of mental ill-health are prevalent among HCWs during the COVID-19 pandemic in Bangladesh. The findings suggest a need for monitoring and early interventions to help these individuals.

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“…On the contrary, the relative risk for incident MDD associated with T2D is only 15% (Mezuk et al, ). A recent study reported in the Bangladeshi population that people with T2D have seven times more coexisting MDD in comparison to subjects without T2D (Chowdhury et al, ). Das et al () reported the rate of MDD to be 46.15% in T2D patients.…”

Section: Mental and Metabolic Comorbiditymentioning

confidence: 99%

Co‐shared genetics and possible risk gene pathway partially explain the comorbidity of schizophrenia, major depressive disorder, type 2 diabetes, and metabolic syndrome

Postolache

Bosque-Plata

Jabbour

et al. 2019

American J of Med Genetics Pt B

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Schizophrenia (SCZ) and major depressive disorder (MDD) in treatment-naive patients are associated with increased risk for type 2 diabetes (T2D) and metabolic syndrome (MetS). SCZ, MDD, T2D, and MetS are often comorbid and their comorbidity increases cardiovascular risk: Some risk genes are likely co-shared by them. For instance, transcription factor 7-like 2 (TCF7L2) and proteasome 26S subunit, non-ATPase 9 (PSMD9) are two genes independently reported as contributing to T2D and SCZ, and PSMD9 to MDD as well. However, there are scarce data on the shared genetic risk among SCZ, MDD, T2D, and/or MetS. Here, we briefly describe T2D, MetS, SCZ, and MDD and their genetic architecture. Next, we report separately about the comorbidity of SCZ and MDD with T2D and MetS, and their respective genetic overlap. We propose a novel hypothesis that genes of the prolactin (PRL)-pathway may be implicated in the comorbidity of these disorders. The inherited predisposition of patients with SCZ and MDD to psychoneuroendocrine dysfunction may confer increased risk of T2D and MetS. We illustrate a strategy to identify risk variants in each disorder and in their comorbid psychoneuroendocrine and mentalmetabolic dysfunctions, advocating for studies of genetically homogeneous and phenotype-rich families. The results will guide future studies of the shared predisposition and molecular genetics of new homogeneous endophenotypes of SCZ, MDD, and metabolic impairment.

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Risk of depression among Bangladeshi type 2 diabetic patients

Cited by 11 publications

References 30 publications

Prevalence and correlates of anxiety and depression in frontline healthcare workers treating people with COVID-19 in Bangladesh

Prevalence and correlates of anxiety and depression in frontline healthcare workers treating people with COVID-19 in Bangladesh

Prevalence and correlates of anxiety and depression in frontline healthcare workers treating people with COVID-19 in Bangladesh

Co‐shared genetics and possible risk gene pathway partially explain the comorbidity of schizophrenia, major depressive disorder, type 2 diabetes, and metabolic syndrome

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