scholarly journals PHQ-8 scores and estimation of depression prevalence

2021 ◽  
Vol 6 (11) ◽  
pp. e793
Author(s):  
Brooke Levis ◽  
Felix Fischer ◽  
Andrea Benedetti ◽  
Brett D Thombs
Author(s):  
Bradley N. Gaynes ◽  
Norma Gavin ◽  
Samantha Meltzer-Brody ◽  
Kathleen N. Lohr ◽  
Tammeka Swinson ◽  
...  

2004 ◽  
Author(s):  
Eilish Cleary ◽  
Pat Martens ◽  
Charles Burchill

Author(s):  
Leonid Bardenshtein ◽  
Valeriy Leontiev ◽  
Aleksey Drobyshev ◽  
Aleksandr Tsimbalistov ◽  
Nikolay Malginov ◽  
...  

The review focuses on depressive disorders in cancer patients. The article summarizes the findings of domestic and foreign studies on depression prevalence, clinical symptoms and treatment in head and neck cancer patients. Early detection of affective disorder and timely administration of antipsychotic drug treatment is shown to be important for this patient category.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Samah W. Al-Jabi ◽  
Ansam Sous ◽  
Fatimah Jorf ◽  
Mahmoud Taqatqa ◽  
Mahdi Allan ◽  
...  

Abstract Background The impact of end-stage renal disease on the patient’s psychological status necessitates the value of increasing depression awareness. The current study aimed to assess the depression prevalence among Palestinian hemodialyzed patients and its association with patients’ characteristics. Methods A convenience clustered sampling technique was followed. Sample was collected from ten hemodialysis centers in the West Bank, Palestine, during 3 months in 2015. We used the Beck Depression Inventory-II scale (BDI-II) to evaluate depression among participants. All data were analyzed using Statistical Package for the Social Sciences version 16.0. Results Two hundred and eighty-six hemodialyzed patients were interviewed. The mean age (± standard deviation) of the patients was 52.0 ± 14.3 years, and most participants were males 172 (60.1%). Regarding the dialysis characteristics, the median of years of dialysis was 2 years (1–4). The prevalence of depression was 73.1%. Elderly patients (p = 0.001), female (p = 0.036), living in rural areas or camp (p = 0.032), low income (p = 0.041), unemployment (p = 0.001), not doing regular exercise (p = 0.001), and having multi comorbidities (p = 0.001) were significantly associated with more depression scores. The results of binary logistic regression showed that only patients who were living in camps, patients who were previously employed, and patients who were not practicing exercise remained significantly associated with a higher depression score. Conclusions This study is the first one confirmed about depression and its prevalence among hemodialyzed patients in the West Bank, Palestine. Compared to other communities, the study found a higher depression prevalence rate. There is a need to offer psychological interviews and non-pharmacological and pharmacological interventions.


Heliyon ◽  
2021 ◽  
Vol 7 (5) ◽  
pp. e07085
Author(s):  
Ropo Ebenezer Ogunsakin ◽  
Oludayo O. Olugbara ◽  
Sibusiso Moyo ◽  
Connie Israel

2007 ◽  
Vol 48 (4) ◽  
pp. 1498 ◽  
Author(s):  
Albert Augustin ◽  
Jose´-Alain Sahel ◽  
Francesco Bandello ◽  
Roland Dardennes ◽  
Fre´de´rique Maurel ◽  
...  

2008 ◽  
Vol 23 ◽  
pp. S251 ◽  
Author(s):  
M. Hosseinian ◽  
Z. Tagharrobi ◽  
K.H. Sharifi ◽  
Z. Sooky ◽  
S. Esalat Manesh

Author(s):  
Indrajeet Singh Gambhir ◽  
Amit Raj Sharma ◽  
Sankha Shubhra Chakrabarti ◽  
Upinder Kaur ◽  
Bindu Prakash

Background: Depression is the commonest psychiatric disorder in the elderly. We attempted to analyze the prevalence and correlates of depression in the north Indian elderly. Methods: An observational study was carried out taking cases from patients attending the geriatric clinic for the first time. Depression was diagnosed by the Geriatric Depression Score short form (≥5). Various epidemiological parameters were assessed in 504 subjects (M = 304, F = 200; mean age = 66.47±13.71 years). Results: Depression prevalence was 45%. A significant correlation was found between depression prevalence and gender (F>M, p=0.011), level of education (p=0.002), marital status (p<0.001) and insomnia (p<0.001) on univariate analysis. On binomial logistic regression analysis, marital status (widowed > married, p=0.008) and insomnia (present > absent, p<0.001) showed significant correlation with depression prevalence.    Conclusion: Our study highlights certain epidemiological aspects of depression in the aged Indian population presenting to the tertiary hospital. Spousal loss and insomnia are documented as possible depression risks but longitudinal studies are needed to confirm the same. Keywords: Geriatrics, Depression, Epidemiology, Geriatric Depression Score, Prevalence, Logistic Regression


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