SlideShare a Scribd company logo
Advanced Medical Sciences: An International Journal (AMS), Vol 2, No.2/3, August 2015
DOI : 10.5121/ams.2015.2301 1
PREVALENCE OF DEPRESSION AND FACTORS
INFLUENCING IT AMONG GERIATRIC POPULATION
ATTENDING THE OUTPATIENT DEPARTMENT OF A
TERTIARY CARE HOSPITAL
A K Prashanth, M Perathu Kannu Rakesh, V Praveena, A Preethi, S Prithvi, R
Priyadharshini, K Suvetha
Department of Community Medicine, PSG Institute of Medical Sciences and Research,
Coimbatore, India
psgmedschool@gmail.com
ABSTRACT
Depression is a state of feeling sad, miserable and down in the dumps with loss of self-confidence.
Depression despite being a serious condition in all age groups is more common and significant in the
geriatric population as it is associated with morbidity and mortality. The cause of depression is
multifactorial. Various scales have been developed to assess depression of which the Geriatric Depression
Scale is most suited for elderly population and those with dementia. In our study, we aim to analyse the
prevalence of depression among elderly patients visiting the outpatient departments of a tertiary care
hospital and determine the factors influencing depression in them. The study was an Observational study
carried out on 51 elderly patients over the age of 60 years attending the outpatient departments of PSG
Hospital. The Geriatric Depression Scale Short form was used to determine the prevalence of depression. A
self-designed questionnaire considering various factors causing depression was administered to determine
the factors influencing depression. It was found that among 51 elders in the age group of 60 to 80 years,
58.8% were depressed of which 54% were males and 68% were females. Financial fears regarding future
and income insufficiency were the most important factors contributing to depression. This shows that
monetary fear is a major factor resulting in depression. The government and other organizations must
ensure that better support both financial and other services like healthcare are provided to the elderly in
order to prevent depressive illnesses.
KEYWORDS
Depression, Elderly, Geriatric population, The Geriatric Depression Scale.
1. INTRODUCTION
Depression is a condition characterised by feeling sad, miserable and down in the dumps. Studies
have shown that depression is very prevalent among the geriatric age group and is a common
cause of disability in them. Among its consequences are reduced life satisfaction and quality,
social deprivation, loneliness, cognitive decline, impairments in activities of daily living, suicide
and increased mortality [1].
Most likely, depression is caused by a combination of genetic, biological, environmental and
psychological factors. Depressive illnesses are disorders of the brain and longstanding theories
Advanced Medical Sciences: An International Journal (AMS), Vol 2, No.2/3, August 2015
2
about depression suggest that important neurotransmitter chemicals that the brain cells use to
communicate are out of balance in depression [2]
Several scales are used to assess depression. They include Hamilton Depression Rating Scale,
Beck Depression Inventory, The Geriatric Depression Scale (GDS) and Montgomery-Asberg
Depression Rating Scale [3] [4] [5] [6]. The GDS is a self-administered scale that has been
extensively tested and used in elderly patients and for patients with mild to moderate dementia.
The GDS Long form is a 30 point questionnaire in which the patients are asked to give a yes or
no answer in reference to how they felt over the past week. A score of 0-9 was considered
normal. 10-19 was considered mild depression and 20-30 as severe depression [7]. A short form
of GDS consisting of 15 questions (GDS-15) was also developed which was more suited for
patients with dementia because of their relatively short memory and attention span. A score of 5-8
suggests mild depression, 9-11 denotes moderate depression and 12-15 means the patient suffers
from severe depression [8].
In our study, we aim to determine the prevalence of depression among elderly patients visiting the
outpatient departments of PSG Hospital, which a tertiary care multispecialty hospital. The
possible factors responsible for depression among geriatric patients were also analysed.
2. METHODOLOGY
Approval for carrying out the research was obtained from the Institutional Human Ethics
Committee of PSG Institute of Medical Sciences and Research.
The study was an Observational study involving collection of data from sample subjects. Elderly
patients above the age of 60 years attending the outpatient service of PSG Hospitals were
considered. Patients with known psychiatric conditions were excluded. The GDS-15, the short
form of Geriatric Depression Scale was used to assess the prevalence of depression among elderly
samples. A questionnaire was prepared, keeping various causative factors of depression in mind,
to assess the possible factors that could cause depression in elderly.
An informed consent was obtained from the study population and a detailed one to one interview
was conducted. Data was collected from 51 elderly subjects over 60 years of age. The results
were tabulated and analysed using GDS-15, questionnaire and statistical tools.
3. RESULTS
A survey was done in 51 elderly people.
The age range of the study population was 60-80 years.
There were 35 males and 16 females.
The prevalence of depression was 58.8%.
Table 1. Prevalence of Depression n=51.
Depression Total number of people Prevalence
Yes 30 58.8%
No 21 41.2%
Advanced Medical Sciences: An International Journal (AMS), Vol 2, No.2/3, August 2015
3
Table 2. Prevalence of Depression in males and females n(males)=35, n(females)=16.
Depression Total number of
people
Prevalence Probability (p) value
Males 19 54% p=0.330
Females 11 68%
Table 3. Factors influencing Depression n=51.
Factors Total number of
people
Percentage of people
depressed
Probability (p)
value
Financial fear
regarding future
Yes
No
25
26
80%
38%
p=0.003
Living alone
Yes
No
4
47
75%
57%
p=0.493
Income
sufficiency
Yes
No
25
26
28%
88%
p=0.000
Recent death in
family
Yes
No
13
38
54%
61%
p=0.673
Chronic illnesses
Yes
No
37
14
59%
57%
p=0.881
4. DISCUSSION
Depression is a serious condition for people of all age groups, but for the older population, it is
often associated with other comorbid conditions like physical disability, anxiety and dementia
that exacerbate distress experienced by older people and their carers [9]. The multifactorial risk
for depression involves bio psychosocial context, family history of depression, drug abuse and
abuse of other substances like alcohol, somatic diseases with disability and chronic pain, damage
to body image, daily loneliness and social isolation, recent grief, fear of death as well as
decreased availability of social support and economic resources, capacity of living in community
and the need for assistance in day to day activities [10].
In this study, we analysed the prevalence of depression and the factors influencing it among 51
elders belonging to the age group of 60 to 80 years and found that 58.8% of the elders were
depressed. We considered factors like financial fear which may arise in the future, insufficiency
of income, recent death, chronic illness and physical disability and loneliness. Our interpretations
were based on GDS-15. In our study, the major factors influencing depression based on
probability were financial fear and income insufficiency. Although more females were found to
be depressed compared to males, sex as a causative factor for depression was not found to be
significant.
Advanced Medical Sciences: An International Journal (AMS), Vol 2, No.2/3, August 2015
4
Studies show that depression involves almost 20% of people over 65 years, 36% over 75 years
and 40% above the age of 85 years [11]. Success to the management of depression involves valid
and reliable self-report. Improving the identification of people with actual or potential mental
health difficulties for referral to general practitioners or mental health practitioners for diagnostic
assessment and treatment also plays an important role in preventing major depressive illnesses.
More support from government and other institutions to alleviate monetary fear and provision of
other services like healthcare and old age homes must be a point of focus.
5. CONCLUSSION
A study was conducted on 51 elders over the age of 60 years, of which 54% were males and 68%
were females and it was found that 58.8% of them suffered from depression. Financial fears
regarding future and income insufficiency were found to be the most important factors
influencing depression.
ACKNOWLEDGEMENTS
First and foremost we would like to thank the almighty. We thank the Department of Community
Medicine, PSG Institute of Medical Sciences and Research for helping us. Our sincere thanks to
Dr. Thomas V Chacko, Professor and Head of Department of Community Medicine, PSG
Institute of Medical Sciences and Research for providing us this opportunity through the Problem
Solving for Better Health Programme. We would like to thank our guide Dr. K Suvetha who
stood by our side and helped us carry out this research of ours perfectly at each and every step.
We also thank Dr. Y S Sivan who encouraged us throughout our work. Finally we wish to thank
the study participants for sparing their valuable time and for providing the information which
enabled us to complete our research.
REFERENCES
[1] David C Steffens, Ingmar Skoog, Maria C Norton, Andrea D Hart, JoAnn T Tschanz, Brenda L
Plassman, Bonita W Wyse, Kathleen A Welsh and John C S Breitner (2000) Prevalence of
Depression and its treatment in an elderly population, Arch Gen Psychiatry. 57:601-607.
[2] Lebowitz BD, Pearson JL, Schneider LS, Reynolds CF, Alexopoulos GS, Bruce MI, Conwell Y, Katz
IR, Meyers BS, Morrison MF, Mossey J, Niederehe G and Parmelee P (1997) Diagnosis and
treatment of depression in late life: consensus statement update. Journal of the American Medical
Association. 278(14):1186–1190.
[3] R Michael Bagby, Andrew G Ryder, Deborah R Schuller and Margarita B Marshall (2004) The
Hamilton Depression Rating Scale: Has the Gold Standard Become a Lead Weight? The American
Journal of Psychiatry. Volume 161 Issue 12 pp. 2163-2177.
[4] Sean Joe, Michael E Woolley, Gregory K Brown, Marjan Ghahramanlou-Holloway and Aaron T
Beck (2008) Psychometric Properties of the Beck Depression Inventory-II in Low-Income, African
American Suicide Attempters. J Pers Assess. 90950: 521-523.
[5] Pracheth R, Mayur SS and Chowti JV (2013) Geriatric Depression Scale: A tool to assess depression
in elderly. Int J Med Sci Public Health. 2(1): 31-35
[6] Janet B W Willams and Kenneth A Kobak (2008). Development and reliability of a structured
interview guide for the Montgomery-Asberg Depression Rating Scale (SIGMA). The British Journal
of Psychiatry. 192(1) 52-58.
[7] Grace G Aikman and Mary E Oehlert (2000) Geriatric Depression Scale: Long Form Versus Short
Form. Clinical Gerontologist, Vol. 22(3/4) 2000.
[8] Linda G Marc, Patrick J Raue and Martha L Bruce (2008) Screening Performance of the Geriatric
Depression Scale (GDS-15) in a Diverse Elderly Home Care Population. Am J Geriatr Psychiatry.
16(11): 914-921.
Advanced Medical Sciences: An International Journal (AMS), Vol 2, No.2/3, August 2015
5
[9] Briony Dow, Betty Haralambous, Xiaoling Lin, Carolyne Jones, Jean Tinney and Christina Bryant
(2009) Beyondblue Depression in older age: A scoping study. National Ageing Research Institute
(NARI).
[10] Bulbena A and Berrios G E (1986) Pseudodementia Facts and Figures. Brit J Pscychiatry. 148:87-94.
[11] Stek ML, Vinkers DJ, Gussekloo J, Van der Mast RC, Beekman AT and Westendorp RG (2006)
Natural history of depression in the oldest old: population-based prospective study. Br J Psychiatry.
188:65-9.
Authors
1. A K Prahshanth, Continuous Rotatory Residential Intern, PSG Institute of Medical
Sciences and Research, Coimbatore
2. M PerathuKannu Rakesh, Continuous Rotatory Residential Intern, PSG Institute of
Medical Sciences and Research, Coimbatore
3. V Praveena, Continuous Rotatory Residential Intern, PSG Institute of Medical Sciences and
Research, Coimbatore
4. A Preethi, Continuous Rotatory Residential Intern, PSG Institute of Medical Sciences and
Research, Coimbatore
5. S Prithvi, Continuous Rotatory Residential Intern, PSG Institute of Medical Sciences and
Research, Coimbatore
6. R Priyadharshini, Continuous Rotatory Residential Intern, PSG Institute of Medical Sciences and
Research, Coimbatore
7. Dr. K Suvetha, Associate Professor, Department of Community Medicine,
PSG Institute of Medical Sciences and Research, Coimbatore

More Related Content

What's hot

Transitions_Study_of_predictors_of_illne
Transitions_Study_of_predictors_of_illneTransitions_Study_of_predictors_of_illne
Transitions_Study_of_predictors_of_illne
Natalia Zmicerevska
 
EUPHA
EUPHAEUPHA
Depression and anxiety screening ucaya
Depression and anxiety screening ucayaDepression and anxiety screening ucaya
Depression and anxiety screening ucaya
Greenville Health System
 
Anxiety and depressive symptoms and medical illness among adults with anxiety...
Anxiety and depressive symptoms and medical illness among adults with anxiety...Anxiety and depressive symptoms and medical illness among adults with anxiety...
Anxiety and depressive symptoms and medical illness among adults with anxiety...
Lilin Rosyanti Poltekkes kemenkes kendari
 
Screening for depression in medical settings 2015 update
Screening for depression in medical settings 2015 updateScreening for depression in medical settings 2015 update
Screening for depression in medical settings 2015 update
James Coyne
 
Depressive symptoms among student at Al-kindy college of medicine 2018-2019 r...
Depressive symptoms among student at Al-kindy college of medicine 2018-2019 r...Depressive symptoms among student at Al-kindy college of medicine 2018-2019 r...
Depressive symptoms among student at Al-kindy college of medicine 2018-2019 r...
Aseele HZ
 
Soc100 research paper (grammarly)
Soc100 research paper (grammarly)Soc100 research paper (grammarly)
Soc100 research paper (grammarly)
Bridget Pody
 
Anxiety and depression_associated_with_urinary_inc
Anxiety and depression_associated_with_urinary_incAnxiety and depression_associated_with_urinary_inc
Anxiety and depression_associated_with_urinary_inc
Carlos Quiroz
 
Psycho-oncology
Psycho-oncologyPsycho-oncology
Psycho-oncology
Pawan Sharma
 
Making sense of mental health
Making sense of mental healthMaking sense of mental health
Making sense of mental health
Australian Federation of AIDS Organisations
 
Raskind.AJM_
Raskind.AJM_Raskind.AJM_
Raskind.AJM_
Larry Macke, ELS
 
PSY209 Research Paper
PSY209 Research PaperPSY209 Research Paper
PSY209 Research Paper
Bridget Pody
 
9
99
Great debate psychosocial interventions in cancer care
Great debate psychosocial interventions in cancer careGreat debate psychosocial interventions in cancer care
Great debate psychosocial interventions in cancer care
James Coyne
 
Rethinking, rebuilding psychosocial care for cancer patients
Rethinking, rebuilding psychosocial care for cancer patientsRethinking, rebuilding psychosocial care for cancer patients
Rethinking, rebuilding psychosocial care for cancer patients
James Coyne
 
11 epidemiology
11  epidemiology11  epidemiology
11 epidemiology
MPH_training_committee
 
Life style factors in late onset depression
Life style factors in late onset depressionLife style factors in late onset depression
Life style factors in late onset depression
ramkumar g s
 
Where’s the evidence that screening for distress benefits cancer patients?
Where’s the evidence that screening for distress benefits cancer patients?Where’s the evidence that screening for distress benefits cancer patients?
Where’s the evidence that screening for distress benefits cancer patients?
James Coyne
 
Challenge of Integration Care of Consultation Liaison Psychiatry (ACPM 2014)
Challenge of Integration Care of Consultation Liaison Psychiatry (ACPM 2014)Challenge of Integration Care of Consultation Liaison Psychiatry (ACPM 2014)
Challenge of Integration Care of Consultation Liaison Psychiatry (ACPM 2014)
Andri Andri
 

What's hot (19)

Transitions_Study_of_predictors_of_illne
Transitions_Study_of_predictors_of_illneTransitions_Study_of_predictors_of_illne
Transitions_Study_of_predictors_of_illne
 
EUPHA
EUPHAEUPHA
EUPHA
 
Depression and anxiety screening ucaya
Depression and anxiety screening ucayaDepression and anxiety screening ucaya
Depression and anxiety screening ucaya
 
Anxiety and depressive symptoms and medical illness among adults with anxiety...
Anxiety and depressive symptoms and medical illness among adults with anxiety...Anxiety and depressive symptoms and medical illness among adults with anxiety...
Anxiety and depressive symptoms and medical illness among adults with anxiety...
 
Screening for depression in medical settings 2015 update
Screening for depression in medical settings 2015 updateScreening for depression in medical settings 2015 update
Screening for depression in medical settings 2015 update
 
Depressive symptoms among student at Al-kindy college of medicine 2018-2019 r...
Depressive symptoms among student at Al-kindy college of medicine 2018-2019 r...Depressive symptoms among student at Al-kindy college of medicine 2018-2019 r...
Depressive symptoms among student at Al-kindy college of medicine 2018-2019 r...
 
Soc100 research paper (grammarly)
Soc100 research paper (grammarly)Soc100 research paper (grammarly)
Soc100 research paper (grammarly)
 
Anxiety and depression_associated_with_urinary_inc
Anxiety and depression_associated_with_urinary_incAnxiety and depression_associated_with_urinary_inc
Anxiety and depression_associated_with_urinary_inc
 
Psycho-oncology
Psycho-oncologyPsycho-oncology
Psycho-oncology
 
Making sense of mental health
Making sense of mental healthMaking sense of mental health
Making sense of mental health
 
Raskind.AJM_
Raskind.AJM_Raskind.AJM_
Raskind.AJM_
 
PSY209 Research Paper
PSY209 Research PaperPSY209 Research Paper
PSY209 Research Paper
 
9
99
9
 
Great debate psychosocial interventions in cancer care
Great debate psychosocial interventions in cancer careGreat debate psychosocial interventions in cancer care
Great debate psychosocial interventions in cancer care
 
Rethinking, rebuilding psychosocial care for cancer patients
Rethinking, rebuilding psychosocial care for cancer patientsRethinking, rebuilding psychosocial care for cancer patients
Rethinking, rebuilding psychosocial care for cancer patients
 
11 epidemiology
11  epidemiology11  epidemiology
11 epidemiology
 
Life style factors in late onset depression
Life style factors in late onset depressionLife style factors in late onset depression
Life style factors in late onset depression
 
Where’s the evidence that screening for distress benefits cancer patients?
Where’s the evidence that screening for distress benefits cancer patients?Where’s the evidence that screening for distress benefits cancer patients?
Where’s the evidence that screening for distress benefits cancer patients?
 
Challenge of Integration Care of Consultation Liaison Psychiatry (ACPM 2014)
Challenge of Integration Care of Consultation Liaison Psychiatry (ACPM 2014)Challenge of Integration Care of Consultation Liaison Psychiatry (ACPM 2014)
Challenge of Integration Care of Consultation Liaison Psychiatry (ACPM 2014)
 

Viewers also liked

tom brant
tom branttom brant
tom brant
Arthur Larsen
 
Lower form
Lower formLower form
Lower form
Rina Anthony
 
Jonas, Book Review
Jonas, Book ReviewJonas, Book Review
Jonas, Book Review
guest611293
 
Newsbreak by Max Fatchen
Newsbreak by Max FatchenNewsbreak by Max Fatchen
Newsbreak by Max Fatchen
ADHA JAMALULAIL
 
The swiss family robinson preview
The swiss family robinson previewThe swiss family robinson preview
The swiss family robinson preview
campfiregn
 
Sad I Ams (Introduction)
Sad I Ams (Introduction)Sad I Ams (Introduction)
Sad I Ams (Introduction)
Miz Malinz
 
News Break by Max Fatchen
News Break by Max FatchenNews Break by Max Fatchen
News Break by Max Fatchen
husnagraphics
 
Sad I Ams (Themes & Moral Values)
Sad I Ams (Themes & Moral Values)Sad I Ams (Themes & Moral Values)
Sad I Ams (Themes & Moral Values)
Miz Malinz
 
Fair’s Fair
Fair’s FairFair’s Fair
Fair’s Fair
Nor Farhana Othman
 
Sad I Ams
Sad I AmsSad I Ams

Viewers also liked (10)

tom brant
tom branttom brant
tom brant
 
Lower form
Lower formLower form
Lower form
 
Jonas, Book Review
Jonas, Book ReviewJonas, Book Review
Jonas, Book Review
 
Newsbreak by Max Fatchen
Newsbreak by Max FatchenNewsbreak by Max Fatchen
Newsbreak by Max Fatchen
 
The swiss family robinson preview
The swiss family robinson previewThe swiss family robinson preview
The swiss family robinson preview
 
Sad I Ams (Introduction)
Sad I Ams (Introduction)Sad I Ams (Introduction)
Sad I Ams (Introduction)
 
News Break by Max Fatchen
News Break by Max FatchenNews Break by Max Fatchen
News Break by Max Fatchen
 
Sad I Ams (Themes & Moral Values)
Sad I Ams (Themes & Moral Values)Sad I Ams (Themes & Moral Values)
Sad I Ams (Themes & Moral Values)
 
Fair’s Fair
Fair’s FairFair’s Fair
Fair’s Fair
 
Sad I Ams
Sad I AmsSad I Ams
Sad I Ams
 

Similar to Prevalence of depression and factors

An overview of depression and its pharmacotherapy
An overview of depression and its pharmacotherapyAn overview of depression and its pharmacotherapy
An overview of depression and its pharmacotherapy
pharmaindexing
 
An overview of depression and its pharmacotherapy
An overview of depression and its pharmacotherapyAn overview of depression and its pharmacotherapy
An overview of depression and its pharmacotherapy
pharmaindexing
 
Depression and suicide risk in hemodialysis patients with chronic renal failure
Depression and suicide risk in hemodialysis patients with chronic renal failureDepression and suicide risk in hemodialysis patients with chronic renal failure
Depression and suicide risk in hemodialysis patients with chronic renal failure
Lilin Rosyanti Poltekkes kemenkes kendari
 
Dep with medical illness-by Dr.Swapnil Agrawal
Dep with medical illness-by Dr.Swapnil AgrawalDep with medical illness-by Dr.Swapnil Agrawal
Dep with medical illness-by Dr.Swapnil Agrawal
Swapnil Agrawal
 
Scientific Journal of Depression & Anxiety
Scientific Journal of Depression & AnxietyScientific Journal of Depression & Anxiety
Scientific Journal of Depression & Anxiety
SciRes Literature LLC. | Open Access Journals
 
Scientifi c Journal of Depression & Anxiety
Scientifi c Journal of Depression & AnxietyScientifi c Journal of Depression & Anxiety
Scientifi c Journal of Depression & Anxiety
SciRes Literature LLC. | Open Access Journals
 
IJMPR43104-509-514.docx
IJMPR43104-509-514.docxIJMPR43104-509-514.docx
Social Determinants of Mental Health (1).pptx
Social Determinants of Mental Health (1).pptxSocial Determinants of Mental Health (1).pptx
Social Determinants of Mental Health (1).pptx
sarojrimal7
 
Exploring the Relationship between the Platelet Indices and Psychosocial Morb...
Exploring the Relationship between the Platelet Indices and Psychosocial Morb...Exploring the Relationship between the Platelet Indices and Psychosocial Morb...
Exploring the Relationship between the Platelet Indices and Psychosocial Morb...
CrimsonPublishersGGS
 
Study of Depression and Role of Support Groups in Its Management among HIV/AI...
Study of Depression and Role of Support Groups in Its Management among HIV/AI...Study of Depression and Role of Support Groups in Its Management among HIV/AI...
Study of Depression and Role of Support Groups in Its Management among HIV/AI...
paperpublications3
 
COVID 19- A tunnel that seems to be never ending.pdf
COVID 19- A tunnel that seems to be never ending.pdfCOVID 19- A tunnel that seems to be never ending.pdf
COVID 19- A tunnel that seems to be never ending.pdf
ShashankBallur2
 
An Epidemiological Investigation of Age-Related Determinants of Anxiety and M...
An Epidemiological Investigation of Age-Related Determinants of Anxiety and M...An Epidemiological Investigation of Age-Related Determinants of Anxiety and M...
An Epidemiological Investigation of Age-Related Determinants of Anxiety and M...
Wally Wah Lap Cheung
 
Literature Review- Major Depressive Disorder
Literature Review- Major Depressive DisorderLiterature Review- Major Depressive Disorder
Literature Review- Major Depressive Disorder
Cooper Feild
 
Please I need a response to this case study.1 pagezero plagi.docx
Please I need a response to this case study.1 pagezero plagi.docxPlease I need a response to this case study.1 pagezero plagi.docx
Please I need a response to this case study.1 pagezero plagi.docx
cherry686017
 
Depression and Heart Disease - A Cross Cultural View
Depression and Heart Disease - A Cross Cultural ViewDepression and Heart Disease - A Cross Cultural View
Depression and Heart Disease - A Cross Cultural View
Abdon Nanhay
 
Smith_Practice Brief
Smith_Practice BriefSmith_Practice Brief
Smith_Practice Brief
Breona Smith
 
Depression in chronic kidney disease
Depression in chronic kidney diseaseDepression in chronic kidney disease
Depression in chronic kidney disease
Lilin Rosyanti Poltekkes kemenkes kendari
 
Fricchione psychosomatic medicine in mental health
Fricchione psychosomatic medicine in mental healthFricchione psychosomatic medicine in mental health
Fricchione psychosomatic medicine in mental health
jasonharlow
 
Depressive Symptoms, Hostility, and Hopelessness
Depressive Symptoms, Hostility, and HopelessnessDepressive Symptoms, Hostility, and Hopelessness
Depressive Symptoms, Hostility, and Hopelessness
Savannah Kalman
 
Xx psychological impact of clinical treatment after breast cancer diagnosis in
Xx psychological impact of clinical treatment after breast cancer diagnosis inXx psychological impact of clinical treatment after breast cancer diagnosis in
Xx psychological impact of clinical treatment after breast cancer diagnosis in
Yelmi Reni Putri SY
 

Similar to Prevalence of depression and factors (20)

An overview of depression and its pharmacotherapy
An overview of depression and its pharmacotherapyAn overview of depression and its pharmacotherapy
An overview of depression and its pharmacotherapy
 
An overview of depression and its pharmacotherapy
An overview of depression and its pharmacotherapyAn overview of depression and its pharmacotherapy
An overview of depression and its pharmacotherapy
 
Depression and suicide risk in hemodialysis patients with chronic renal failure
Depression and suicide risk in hemodialysis patients with chronic renal failureDepression and suicide risk in hemodialysis patients with chronic renal failure
Depression and suicide risk in hemodialysis patients with chronic renal failure
 
Dep with medical illness-by Dr.Swapnil Agrawal
Dep with medical illness-by Dr.Swapnil AgrawalDep with medical illness-by Dr.Swapnil Agrawal
Dep with medical illness-by Dr.Swapnil Agrawal
 
Scientific Journal of Depression & Anxiety
Scientific Journal of Depression & AnxietyScientific Journal of Depression & Anxiety
Scientific Journal of Depression & Anxiety
 
Scientifi c Journal of Depression & Anxiety
Scientifi c Journal of Depression & AnxietyScientifi c Journal of Depression & Anxiety
Scientifi c Journal of Depression & Anxiety
 
IJMPR43104-509-514.docx
IJMPR43104-509-514.docxIJMPR43104-509-514.docx
IJMPR43104-509-514.docx
 
Social Determinants of Mental Health (1).pptx
Social Determinants of Mental Health (1).pptxSocial Determinants of Mental Health (1).pptx
Social Determinants of Mental Health (1).pptx
 
Exploring the Relationship between the Platelet Indices and Psychosocial Morb...
Exploring the Relationship between the Platelet Indices and Psychosocial Morb...Exploring the Relationship between the Platelet Indices and Psychosocial Morb...
Exploring the Relationship between the Platelet Indices and Psychosocial Morb...
 
Study of Depression and Role of Support Groups in Its Management among HIV/AI...
Study of Depression and Role of Support Groups in Its Management among HIV/AI...Study of Depression and Role of Support Groups in Its Management among HIV/AI...
Study of Depression and Role of Support Groups in Its Management among HIV/AI...
 
COVID 19- A tunnel that seems to be never ending.pdf
COVID 19- A tunnel that seems to be never ending.pdfCOVID 19- A tunnel that seems to be never ending.pdf
COVID 19- A tunnel that seems to be never ending.pdf
 
An Epidemiological Investigation of Age-Related Determinants of Anxiety and M...
An Epidemiological Investigation of Age-Related Determinants of Anxiety and M...An Epidemiological Investigation of Age-Related Determinants of Anxiety and M...
An Epidemiological Investigation of Age-Related Determinants of Anxiety and M...
 
Literature Review- Major Depressive Disorder
Literature Review- Major Depressive DisorderLiterature Review- Major Depressive Disorder
Literature Review- Major Depressive Disorder
 
Please I need a response to this case study.1 pagezero plagi.docx
Please I need a response to this case study.1 pagezero plagi.docxPlease I need a response to this case study.1 pagezero plagi.docx
Please I need a response to this case study.1 pagezero plagi.docx
 
Depression and Heart Disease - A Cross Cultural View
Depression and Heart Disease - A Cross Cultural ViewDepression and Heart Disease - A Cross Cultural View
Depression and Heart Disease - A Cross Cultural View
 
Smith_Practice Brief
Smith_Practice BriefSmith_Practice Brief
Smith_Practice Brief
 
Depression in chronic kidney disease
Depression in chronic kidney diseaseDepression in chronic kidney disease
Depression in chronic kidney disease
 
Fricchione psychosomatic medicine in mental health
Fricchione psychosomatic medicine in mental healthFricchione psychosomatic medicine in mental health
Fricchione psychosomatic medicine in mental health
 
Depressive Symptoms, Hostility, and Hopelessness
Depressive Symptoms, Hostility, and HopelessnessDepressive Symptoms, Hostility, and Hopelessness
Depressive Symptoms, Hostility, and Hopelessness
 
Xx psychological impact of clinical treatment after breast cancer diagnosis in
Xx psychological impact of clinical treatment after breast cancer diagnosis inXx psychological impact of clinical treatment after breast cancer diagnosis in
Xx psychological impact of clinical treatment after breast cancer diagnosis in
 

More from amsjournal

UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...
amsjournal
 
THE EPISTEMOLOGICAL BASES THAT SUPPORT REASONING OF CLINICAL DIAGNOSIS
THE EPISTEMOLOGICAL BASES THAT SUPPORT REASONING OF CLINICAL DIAGNOSISTHE EPISTEMOLOGICAL BASES THAT SUPPORT REASONING OF CLINICAL DIAGNOSIS
THE EPISTEMOLOGICAL BASES THAT SUPPORT REASONING OF CLINICAL DIAGNOSIS
amsjournal
 
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASESINTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
amsjournal
 
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFER
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFERTHE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFER
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFER
amsjournal
 
Advanced Medical Sciences: An International Journal (AMS)
Advanced Medical Sciences: An International Journal (AMS)Advanced Medical Sciences: An International Journal (AMS)
Advanced Medical Sciences: An International Journal (AMS)
amsjournal
 
A comparative analysis of biochemical and hematological parameters in diabeti...
A comparative analysis of biochemical and hematological parameters in diabeti...A comparative analysis of biochemical and hematological parameters in diabeti...
A comparative analysis of biochemical and hematological parameters in diabeti...
amsjournal
 

More from amsjournal (6)

UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...
 
THE EPISTEMOLOGICAL BASES THAT SUPPORT REASONING OF CLINICAL DIAGNOSIS
THE EPISTEMOLOGICAL BASES THAT SUPPORT REASONING OF CLINICAL DIAGNOSISTHE EPISTEMOLOGICAL BASES THAT SUPPORT REASONING OF CLINICAL DIAGNOSIS
THE EPISTEMOLOGICAL BASES THAT SUPPORT REASONING OF CLINICAL DIAGNOSIS
 
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASESINTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
INTERNET OF THINGS BASED MODEL FOR IDENTIFYING PEDIATRIC EMERGENCY CASES
 
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFER
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFERTHE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFER
THE APPLICATION OF MATHEMATICAL MODELS IN MANAGEMENT OF AQUIFER
 
Advanced Medical Sciences: An International Journal (AMS)
Advanced Medical Sciences: An International Journal (AMS)Advanced Medical Sciences: An International Journal (AMS)
Advanced Medical Sciences: An International Journal (AMS)
 
A comparative analysis of biochemical and hematological parameters in diabeti...
A comparative analysis of biochemical and hematological parameters in diabeti...A comparative analysis of biochemical and hematological parameters in diabeti...
A comparative analysis of biochemical and hematological parameters in diabeti...
 

Recently uploaded

basic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdfbasic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
NidhalKahouli2
 
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
171ticu
 
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
ihlasbinance2003
 
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdfIron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
RadiNasr
 
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdfEngineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
abbyasa1014
 
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSA SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
IJNSA Journal
 
The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.
sachin chaurasia
 
22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt
KrishnaveniKrishnara1
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
IJECEIAES
 
Casting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdfCasting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdf
zubairahmad848137
 
Literature Review Basics and Understanding Reference Management.pptx
Literature Review Basics and Understanding Reference Management.pptxLiterature Review Basics and Understanding Reference Management.pptx
Literature Review Basics and Understanding Reference Management.pptx
Dr Ramhari Poudyal
 
spirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptxspirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptx
Madan Karki
 
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.pptUnit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
KrishnaveniKrishnara1
 
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
IJECEIAES
 
Heat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation pptHeat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation ppt
mamunhossenbd75
 
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
University of Maribor
 
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
insn4465
 
Modelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdfModelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdf
camseq
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
IJECEIAES
 
New techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdfNew techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdf
wisnuprabawa3
 

Recently uploaded (20)

basic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdfbasic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
 
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样学校原版美国波士顿大学毕业证学历学位证书原版一模一样
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
 
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
 
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdfIron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
 
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdfEngineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
 
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSA SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
 
The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.The Python for beginners. This is an advance computer language.
The Python for beginners. This is an advance computer language.
 
22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
 
Casting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdfCasting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdf
 
Literature Review Basics and Understanding Reference Management.pptx
Literature Review Basics and Understanding Reference Management.pptxLiterature Review Basics and Understanding Reference Management.pptx
Literature Review Basics and Understanding Reference Management.pptx
 
spirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptxspirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptx
 
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.pptUnit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
 
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
 
Heat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation pptHeat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation ppt
 
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...
 
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
 
Modelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdfModelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdf
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
 
New techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdfNew techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdf
 

Prevalence of depression and factors

  • 1. Advanced Medical Sciences: An International Journal (AMS), Vol 2, No.2/3, August 2015 DOI : 10.5121/ams.2015.2301 1 PREVALENCE OF DEPRESSION AND FACTORS INFLUENCING IT AMONG GERIATRIC POPULATION ATTENDING THE OUTPATIENT DEPARTMENT OF A TERTIARY CARE HOSPITAL A K Prashanth, M Perathu Kannu Rakesh, V Praveena, A Preethi, S Prithvi, R Priyadharshini, K Suvetha Department of Community Medicine, PSG Institute of Medical Sciences and Research, Coimbatore, India psgmedschool@gmail.com ABSTRACT Depression is a state of feeling sad, miserable and down in the dumps with loss of self-confidence. Depression despite being a serious condition in all age groups is more common and significant in the geriatric population as it is associated with morbidity and mortality. The cause of depression is multifactorial. Various scales have been developed to assess depression of which the Geriatric Depression Scale is most suited for elderly population and those with dementia. In our study, we aim to analyse the prevalence of depression among elderly patients visiting the outpatient departments of a tertiary care hospital and determine the factors influencing depression in them. The study was an Observational study carried out on 51 elderly patients over the age of 60 years attending the outpatient departments of PSG Hospital. The Geriatric Depression Scale Short form was used to determine the prevalence of depression. A self-designed questionnaire considering various factors causing depression was administered to determine the factors influencing depression. It was found that among 51 elders in the age group of 60 to 80 years, 58.8% were depressed of which 54% were males and 68% were females. Financial fears regarding future and income insufficiency were the most important factors contributing to depression. This shows that monetary fear is a major factor resulting in depression. The government and other organizations must ensure that better support both financial and other services like healthcare are provided to the elderly in order to prevent depressive illnesses. KEYWORDS Depression, Elderly, Geriatric population, The Geriatric Depression Scale. 1. INTRODUCTION Depression is a condition characterised by feeling sad, miserable and down in the dumps. Studies have shown that depression is very prevalent among the geriatric age group and is a common cause of disability in them. Among its consequences are reduced life satisfaction and quality, social deprivation, loneliness, cognitive decline, impairments in activities of daily living, suicide and increased mortality [1]. Most likely, depression is caused by a combination of genetic, biological, environmental and psychological factors. Depressive illnesses are disorders of the brain and longstanding theories
  • 2. Advanced Medical Sciences: An International Journal (AMS), Vol 2, No.2/3, August 2015 2 about depression suggest that important neurotransmitter chemicals that the brain cells use to communicate are out of balance in depression [2] Several scales are used to assess depression. They include Hamilton Depression Rating Scale, Beck Depression Inventory, The Geriatric Depression Scale (GDS) and Montgomery-Asberg Depression Rating Scale [3] [4] [5] [6]. The GDS is a self-administered scale that has been extensively tested and used in elderly patients and for patients with mild to moderate dementia. The GDS Long form is a 30 point questionnaire in which the patients are asked to give a yes or no answer in reference to how they felt over the past week. A score of 0-9 was considered normal. 10-19 was considered mild depression and 20-30 as severe depression [7]. A short form of GDS consisting of 15 questions (GDS-15) was also developed which was more suited for patients with dementia because of their relatively short memory and attention span. A score of 5-8 suggests mild depression, 9-11 denotes moderate depression and 12-15 means the patient suffers from severe depression [8]. In our study, we aim to determine the prevalence of depression among elderly patients visiting the outpatient departments of PSG Hospital, which a tertiary care multispecialty hospital. The possible factors responsible for depression among geriatric patients were also analysed. 2. METHODOLOGY Approval for carrying out the research was obtained from the Institutional Human Ethics Committee of PSG Institute of Medical Sciences and Research. The study was an Observational study involving collection of data from sample subjects. Elderly patients above the age of 60 years attending the outpatient service of PSG Hospitals were considered. Patients with known psychiatric conditions were excluded. The GDS-15, the short form of Geriatric Depression Scale was used to assess the prevalence of depression among elderly samples. A questionnaire was prepared, keeping various causative factors of depression in mind, to assess the possible factors that could cause depression in elderly. An informed consent was obtained from the study population and a detailed one to one interview was conducted. Data was collected from 51 elderly subjects over 60 years of age. The results were tabulated and analysed using GDS-15, questionnaire and statistical tools. 3. RESULTS A survey was done in 51 elderly people. The age range of the study population was 60-80 years. There were 35 males and 16 females. The prevalence of depression was 58.8%. Table 1. Prevalence of Depression n=51. Depression Total number of people Prevalence Yes 30 58.8% No 21 41.2%
  • 3. Advanced Medical Sciences: An International Journal (AMS), Vol 2, No.2/3, August 2015 3 Table 2. Prevalence of Depression in males and females n(males)=35, n(females)=16. Depression Total number of people Prevalence Probability (p) value Males 19 54% p=0.330 Females 11 68% Table 3. Factors influencing Depression n=51. Factors Total number of people Percentage of people depressed Probability (p) value Financial fear regarding future Yes No 25 26 80% 38% p=0.003 Living alone Yes No 4 47 75% 57% p=0.493 Income sufficiency Yes No 25 26 28% 88% p=0.000 Recent death in family Yes No 13 38 54% 61% p=0.673 Chronic illnesses Yes No 37 14 59% 57% p=0.881 4. DISCUSSION Depression is a serious condition for people of all age groups, but for the older population, it is often associated with other comorbid conditions like physical disability, anxiety and dementia that exacerbate distress experienced by older people and their carers [9]. The multifactorial risk for depression involves bio psychosocial context, family history of depression, drug abuse and abuse of other substances like alcohol, somatic diseases with disability and chronic pain, damage to body image, daily loneliness and social isolation, recent grief, fear of death as well as decreased availability of social support and economic resources, capacity of living in community and the need for assistance in day to day activities [10]. In this study, we analysed the prevalence of depression and the factors influencing it among 51 elders belonging to the age group of 60 to 80 years and found that 58.8% of the elders were depressed. We considered factors like financial fear which may arise in the future, insufficiency of income, recent death, chronic illness and physical disability and loneliness. Our interpretations were based on GDS-15. In our study, the major factors influencing depression based on probability were financial fear and income insufficiency. Although more females were found to be depressed compared to males, sex as a causative factor for depression was not found to be significant.
  • 4. Advanced Medical Sciences: An International Journal (AMS), Vol 2, No.2/3, August 2015 4 Studies show that depression involves almost 20% of people over 65 years, 36% over 75 years and 40% above the age of 85 years [11]. Success to the management of depression involves valid and reliable self-report. Improving the identification of people with actual or potential mental health difficulties for referral to general practitioners or mental health practitioners for diagnostic assessment and treatment also plays an important role in preventing major depressive illnesses. More support from government and other institutions to alleviate monetary fear and provision of other services like healthcare and old age homes must be a point of focus. 5. CONCLUSSION A study was conducted on 51 elders over the age of 60 years, of which 54% were males and 68% were females and it was found that 58.8% of them suffered from depression. Financial fears regarding future and income insufficiency were found to be the most important factors influencing depression. ACKNOWLEDGEMENTS First and foremost we would like to thank the almighty. We thank the Department of Community Medicine, PSG Institute of Medical Sciences and Research for helping us. Our sincere thanks to Dr. Thomas V Chacko, Professor and Head of Department of Community Medicine, PSG Institute of Medical Sciences and Research for providing us this opportunity through the Problem Solving for Better Health Programme. We would like to thank our guide Dr. K Suvetha who stood by our side and helped us carry out this research of ours perfectly at each and every step. We also thank Dr. Y S Sivan who encouraged us throughout our work. Finally we wish to thank the study participants for sparing their valuable time and for providing the information which enabled us to complete our research. REFERENCES [1] David C Steffens, Ingmar Skoog, Maria C Norton, Andrea D Hart, JoAnn T Tschanz, Brenda L Plassman, Bonita W Wyse, Kathleen A Welsh and John C S Breitner (2000) Prevalence of Depression and its treatment in an elderly population, Arch Gen Psychiatry. 57:601-607. [2] Lebowitz BD, Pearson JL, Schneider LS, Reynolds CF, Alexopoulos GS, Bruce MI, Conwell Y, Katz IR, Meyers BS, Morrison MF, Mossey J, Niederehe G and Parmelee P (1997) Diagnosis and treatment of depression in late life: consensus statement update. Journal of the American Medical Association. 278(14):1186–1190. [3] R Michael Bagby, Andrew G Ryder, Deborah R Schuller and Margarita B Marshall (2004) The Hamilton Depression Rating Scale: Has the Gold Standard Become a Lead Weight? The American Journal of Psychiatry. Volume 161 Issue 12 pp. 2163-2177. [4] Sean Joe, Michael E Woolley, Gregory K Brown, Marjan Ghahramanlou-Holloway and Aaron T Beck (2008) Psychometric Properties of the Beck Depression Inventory-II in Low-Income, African American Suicide Attempters. J Pers Assess. 90950: 521-523. [5] Pracheth R, Mayur SS and Chowti JV (2013) Geriatric Depression Scale: A tool to assess depression in elderly. Int J Med Sci Public Health. 2(1): 31-35 [6] Janet B W Willams and Kenneth A Kobak (2008). Development and reliability of a structured interview guide for the Montgomery-Asberg Depression Rating Scale (SIGMA). The British Journal of Psychiatry. 192(1) 52-58. [7] Grace G Aikman and Mary E Oehlert (2000) Geriatric Depression Scale: Long Form Versus Short Form. Clinical Gerontologist, Vol. 22(3/4) 2000. [8] Linda G Marc, Patrick J Raue and Martha L Bruce (2008) Screening Performance of the Geriatric Depression Scale (GDS-15) in a Diverse Elderly Home Care Population. Am J Geriatr Psychiatry. 16(11): 914-921.
  • 5. Advanced Medical Sciences: An International Journal (AMS), Vol 2, No.2/3, August 2015 5 [9] Briony Dow, Betty Haralambous, Xiaoling Lin, Carolyne Jones, Jean Tinney and Christina Bryant (2009) Beyondblue Depression in older age: A scoping study. National Ageing Research Institute (NARI). [10] Bulbena A and Berrios G E (1986) Pseudodementia Facts and Figures. Brit J Pscychiatry. 148:87-94. [11] Stek ML, Vinkers DJ, Gussekloo J, Van der Mast RC, Beekman AT and Westendorp RG (2006) Natural history of depression in the oldest old: population-based prospective study. Br J Psychiatry. 188:65-9. Authors 1. A K Prahshanth, Continuous Rotatory Residential Intern, PSG Institute of Medical Sciences and Research, Coimbatore 2. M PerathuKannu Rakesh, Continuous Rotatory Residential Intern, PSG Institute of Medical Sciences and Research, Coimbatore 3. V Praveena, Continuous Rotatory Residential Intern, PSG Institute of Medical Sciences and Research, Coimbatore 4. A Preethi, Continuous Rotatory Residential Intern, PSG Institute of Medical Sciences and Research, Coimbatore 5. S Prithvi, Continuous Rotatory Residential Intern, PSG Institute of Medical Sciences and Research, Coimbatore 6. R Priyadharshini, Continuous Rotatory Residential Intern, PSG Institute of Medical Sciences and Research, Coimbatore 7. Dr. K Suvetha, Associate Professor, Department of Community Medicine, PSG Institute of Medical Sciences and Research, Coimbatore