scholarly journals Prevalence of depressive disorders in the elderly

2011 ◽  
Vol 31 (6) ◽  
pp. 620-624 ◽  
Author(s):  
Ankur Barua ◽  
Mihir Kumar Ghosh ◽  
Nilamadhab Kar ◽  
Mary Anne Basilio
2021 ◽  
Vol 11 (7) ◽  
pp. 645
Author(s):  
Haewon Byeon

This cross-sectional study developed a nomogram that could allow medical professionals in the primary care setting to easily and visually confirm high-risk groups of depression. This study analyzed 4011 elderly people (≥60 years old) who completed a health survey, blood pressure, physical measurement, blood test, and a standardized depression screening test. A major depressive disorder was measured using the Korean version of the Patient Health Questionnaire (PHQ-9). This study built a model for predicting major depressive disorders using logistic regression analysis to understand the relationship of each variable with major depressive disorders. In the result, the prevalence of depression measured by PHQ-9 was 6.8%. The results of multiple logistic regression analysis revealed that the major depressive disorder of the elderly living alone was significantly (p < 0.05) related to monthly mean household income, the mean frequency of having breakfast per week for the past year, moderate-intensity physical activity, subjective level of stress awareness, and subjective health status. The results of this study implied that it would be necessary to continuously monitor these complex risk factors such as household income, skipping breakfast, moderate-intensity physical activity, subjective stress, and subjective health status to prevent depression among older adults living in the community.


1996 ◽  
Vol 8 (1) ◽  
pp. 17-24
Author(s):  
W.M.A. Verhoeven ◽  
S. Tuinier ◽  
J.B.G.M. Noten

SummarySince the introduction of the monoamine oxydase inhibitors and the first tricyclic antidepressant (TCA) imipramine in the late fifties, the treatment of depressive disorders has been changed dramatically. Althought a great variety of antidepressants such as TCA's, selective serotoninte-re-uptake inhibitors (SSRI's) mianserin, trazodone, mirtazapine, moclobemide and venlafaxine has become available, the exact mode of action is not revealed as yet, and classification should be done according to the interference of antidepressants with central monoaminergic processes.As to the potential of causing interactions, special attention has to be given to the SSRI's because of their interference with the CYP450 isozyme system. Therapeutic monotoring is recommended for the TCA's. The choiseforan antidepressant should be based on various factors like symptomatology and severity of the depression, potential interactions and somatic and/or psychiatric comorbidity.Extensive clinical research has demonstrated that TCA's are the most effective for major depression with melancholia (vital depression) and depressive disorders in the elderly.


2021 ◽  
Vol 1 (1) ◽  
pp. 66
Author(s):  
Anggun Tsabitah Rachmah ◽  
Noer Saelan Tadjudin

Pemerintah Indonesia selama pandemi COVID-19 menerapkan PSBB (Pembatasan Sosial Berskala Besar) dimana PSBB tersebut membuat aktivitas masyarakat dibatasi, dampaknya juga bisa dirasakan pada lansia di Panti Wreda sehingga dapat menyebabkan timbulnya gangguan depresi. Penelitian ini bertujuan untuk mengetahui hubungan pandemi COVID-19 dan PSBB dengan gangguan depresi pada lansia di Panti Wreda Hana Ciputat Jakarta. Penelitian ini menggunakan metode analitik observational dengan desain studi cross sectional. Penelitian ini dilakukan di Panti Wreda Hana Ciputat Jakarta terhadap lansia sejumlah 56 subjek penelitian yang terdiri dari perempuan 48 orang dan laki-laki 8 orang. Dari 56 subjek penelitian jumlah laki-laki 8 (14,3%) dan perempuan 48 (85,7%). Sebelum terjadinya pandemi COVID-19 dan PSBB, subjek penelitian yang tidak depresi sejumlah 49 subjek (87,5 %), kemungkinan besar depresi 6 subjek (10,7%), dan yang mengalami depresi 1 subjek (1,8%). Selama pandemi COVID19 dan PSBB, subjek penelitian yang tidak depresi 38 subjek (67,9%), kemungkinan besar depresi 14 subjek (25%), dan yang mengalami depresi 4 subjek (7,1%). Berdasarkan hasil uji Chi-square nilai p= 0,000. Dapat disimpulkan terdapat hubungan pandemi COVID-19 dan PSBB dengan gangguan depresi pada lansia di Panti Wreda Hana Ciputat Jakarta. The Government of Indonesia during the COVID-19 pandemic implemented PSBB (Large-Scale Social Restrictions) where the PSBB made community activities restricted, the impact can also be felt on the elderly in nursing home so that it can cause depressive disorders. This research was done in order to determine the relationship of the COVID-19 pandemic and PSBB with depressive disorders in the elderly at the Ciputat Hana Nursing Home in Jakarta. This study used an observational analytic method with a cross sectional study design. The research was conducted at the Ciputat Hana Nursing Home in Jakarta for 56 elderly subjects. In the nursing home consist of 48 women and 8 men. In 56 research subjects, there were 8 (14,3%) men and 48 (85,7%) women. Before the Pandemic of COVID-19 and PSBB, there were 49 (87,5%) research subjects who were not depressed, 6 (10,7%) research subjects who were most likely depressed, and 1 (1,8%) research subject who were depressed. During the Pandemic of COVID-19 and PSBB, there were 38 (67,9%) research subjects who were not depressed, 14 (25%) research subjects who were most likely depressed, and 4 (7,1%) research subjects who were depressed. Based on Chi-Square test result, the value of P = 0,000. In conclusion, there is a correlation between the pandemic of COVID-19 and PSBB with depression disorder in the elderly at Ciputat Hana Nursing Home in Jakarta.


1997 ◽  
Vol 42 (1) ◽  
pp. 90S
Author(s):  
W. Wittgens ◽  
P. Falkal

1993 ◽  
Vol 27 (3) ◽  
pp. 379-391 ◽  
Author(s):  
David Ames

Depressive disorders are common among old people in residential and nursing homes. Outside Australia the prevalence rate for depressive symptoms in homes ranges from 30–75% while that for depressive disorders defined by psychiatric diagnostic criteria is well over 20% in many nursing home studies. These rates are between two and twenty times higher than those found among the elderly living at home. Evidence from Australia indicates that a problem of similar magnitude exists here. While physical disability is strongly associated with depression in these populations, it is not the only factor likely to be responsible for the initiation and maintenance of depression among those in long-term care. There is an urgent need for studies which will better define likely aetiological and maintaining factors for depression in institutional populations, as well as controlled trials of both pharmacological treatments and environmental improvements. In addition, research is needed to establish whether depression is an independent risk factor for mortality among institutional residents.


1989 ◽  
Vol 18 (3) ◽  
pp. 211-221 ◽  
Author(s):  
Kye Y. Kim ◽  
Linda A. Hershey

Depression and suicide are significant problems in the elderly, both in terms of their severity and their prevalence. It is particularly difficult to distinguish depression from early dementia, since elderly depressed patients often deny mood disorder and focus on their memory problems. This differential diagnostic dilemma is further complicated by the fact that 20 percent of Alzheimer-type dementia patients have moderate to severe depression. An even higher prevalence of depression can be seen in elderly patients with stroke or Parkinson's disease. Most all of the depressive disorders of the elderly are amenable to one form or combination of therapies: pharmacologic, electro-convulsive, or psychotherapy. Tricyclic antidepressants are often associated with adverse drug reactions in the elderly, so alternatives such as MAO inhibitors, alprazolam, bupropion and psychostimulants are currently being explored in this patient population.


2020 ◽  
Vol 4 (4) ◽  
pp. 673-678
Author(s):  
Resti Rahmadika Akbar ◽  
Dian Ayu Hamama Pitra ◽  
Mutiara Anissa ◽  
Yuri Haiga ◽  
Rahma Triyana

Increasing the number of elderly people needs to be followed by programs that can maintain the quality of life of the elderly. The ratio of elderly dependence on the productive population is increasing. For that, we need a program so that physical and social changes in the elderly do not reduce the independence of the elderly. Physical changes in the form of cognitive disorders namely decreased brain function so that activities related to the ability of attention, concentration, calculation, decision making, reasoning, and abstract thinking. Social changes in the form of job loss, loneliness, risk of disease, can be a trigger for depressive disorders in the elderly. The purpose of this activity is for all parties to have a role in the early detection of cognitive disorders and depression as well as the elderly who have symptoms can be treated early


Psychiatry ◽  
2020 ◽  
Vol 18 (4) ◽  
pp. 26-32
Author(s):  
A. N. Simonov ◽  
T. P. Klyushnik ◽  
L. V. Androsova ◽  
T. P. Safarova

Objective: to construct a mathematical model that predicts the state of depression by immunological parameters in the blood plasma of older people to further predict the development of the disease.Patients and methods: 55 hospitalized patients of late age (mean age 69.2 ± 6.9 years) with a depressive episode were included in the study. The control group consisted of 41 elderly people (average age 66.6 ± 6.2 years) without depressive disorders. The activity of inflammatory and autoimmune markers in the blood plasma of patients and control groups was determined: the enzymatic activity of leukocyte elastase (LE), the functional activity of the α1-proteinase inhibitor (α1-PI), the level of autoantibodies to neuro-specific antigens S100B and the myelin basic protein (MBP). Statistical data processing was performed using the R (R version 3.2.4) and STATA (version 12.1) programs. We used point-bead-correlation to measure the strength and direction of the relationship between the binary variable and continuous variables and logistic regression to predict the probability of occurrence of events of interest by the values of one or more independent variables (predictors).Results: in patients with depressive disorders, a statistically significant increase in the functional activity of α1-PI (p ≤ 0.05) and the level of autoantibodies to the neurospecific S100B antigen (p ≤ 0.05) was revealed compared with the control. LE activity and MBP level did not differ from the control (p = 0.12 and p = 0.1, respectively). Based on immunological parameters in elderly patients with depression, a mathematical model is constructed. The accuracy of the correct prediction of outcomes using the model as a whole was 83.33%, which indicates a high predictive efficiency of this model.Conclusion: the results of mathematical analysis obtained in this work indicate that immunological parameters such as the functional activity of α1-PI and S100B are statistically significantly associated with the likelihood of depression in the elderly. Indicators such as enzymatic activity of LE and the level of autoantibodies to MBP did not have a statistically significant effect on the desired probability. 


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