Depression in medically ill geriatric patients – A study of predictive factors
Background: Depression in old age is an important public health problem responsible for considerable morbidity and disability worldwide and most often causes for depression are multi-factorial and often preventable. A major factor in the context of evaluating depression in the elderly is the role of...
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2017-01-01
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| Series: | Archives of Mental Health |
| Subjects: | |
| Online Access: | http://www.amhonline.org/article.asp?issn=2589-9171;year=2017;volume=18;issue=1;spage=18;epage=24;aulast=Rao;type=0 |
| _version_ | 1811292323118579712 |
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| author | Harshitha Rao P S Murthy |
| author_facet | Harshitha Rao P S Murthy |
| author_sort | Harshitha Rao |
| collection | DOAJ |
| description | Background: Depression in old age is an important public health problem responsible for considerable morbidity and disability worldwide and most often causes for depression are multi-factorial and often preventable. A major factor in the context of evaluating depression in the elderly is the role of medical problems, where the under recognition and under treatment of depression is especially common.
Aims: To study the prevalence and the possible predictive factors associated with depression in medically ill elderly population.
Methodology: A cross sectional study was done among 100 elderly with medical illness attending the tertiary care hospital in Nandyal for a period of 1year September 2012 to September 2013. A semi structured proforma for various sociodemographic factors was administered by interview method and depression was assessed by GDS- Short version. Other scales used were Katz index for ADL, MMSE, and Presumptive stress scale. Descriptive statistics, Chi square, Fisher's exact test, Multiple Logistic regression by SPSS 14.
Results: The prevalence of depression in the current study has been found to be 45%. Geriatric depression was more among those from nuclear families [p=0.028] and lower socioeconomic class V and IV [35.5% and 28.8% respectively]; [p=0.024].It was also observed that as the number of co-morbid medical illnesses increase, the depression morbidity increases. [p=0.047]. Diabetes Mellitus type-2 and Cerebrovascular disorders too were significantly associated with depression. [p=0.022 and p=0.009 respectively]. Certain life events and ADL [p=0.015] were observed to be significant predictive factors for depression.
Conclusion: The results reaffirm that there is a high prevalence of depression among the geriatric population and adequate measures to detect and control this psychiatric disorder in elderly by specialized gero-psychiatric services are needed. |
| first_indexed | 2024-04-13T04:43:42Z |
| format | Article |
| id | doaj.art-d1bcc8c08978442fadb795fc0f5762c1 |
| institution | Directory Open Access Journal |
| issn | 2589-9171 2589-918X |
| language | English |
| last_indexed | 2024-04-13T04:43:42Z |
| publishDate | 2017-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Archives of Mental Health |
| spelling | doaj.art-d1bcc8c08978442fadb795fc0f5762c12022-12-22T03:01:55ZengWolters Kluwer Medknow PublicationsArchives of Mental Health2589-91712589-918X2017-01-011811824Depression in medically ill geriatric patients – A study of predictive factorsHarshitha RaoP S MurthyBackground: Depression in old age is an important public health problem responsible for considerable morbidity and disability worldwide and most often causes for depression are multi-factorial and often preventable. A major factor in the context of evaluating depression in the elderly is the role of medical problems, where the under recognition and under treatment of depression is especially common. Aims: To study the prevalence and the possible predictive factors associated with depression in medically ill elderly population. Methodology: A cross sectional study was done among 100 elderly with medical illness attending the tertiary care hospital in Nandyal for a period of 1year September 2012 to September 2013. A semi structured proforma for various sociodemographic factors was administered by interview method and depression was assessed by GDS- Short version. Other scales used were Katz index for ADL, MMSE, and Presumptive stress scale. Descriptive statistics, Chi square, Fisher's exact test, Multiple Logistic regression by SPSS 14. Results: The prevalence of depression in the current study has been found to be 45%. Geriatric depression was more among those from nuclear families [p=0.028] and lower socioeconomic class V and IV [35.5% and 28.8% respectively]; [p=0.024].It was also observed that as the number of co-morbid medical illnesses increase, the depression morbidity increases. [p=0.047]. Diabetes Mellitus type-2 and Cerebrovascular disorders too were significantly associated with depression. [p=0.022 and p=0.009 respectively]. Certain life events and ADL [p=0.015] were observed to be significant predictive factors for depression. Conclusion: The results reaffirm that there is a high prevalence of depression among the geriatric population and adequate measures to detect and control this psychiatric disorder in elderly by specialized gero-psychiatric services are needed.http://www.amhonline.org/article.asp?issn=2589-9171;year=2017;volume=18;issue=1;spage=18;epage=24;aulast=Rao;type=0depression; geriatricmedically ill |
| spellingShingle | Harshitha Rao P S Murthy Depression in medically ill geriatric patients – A study of predictive factors Archives of Mental Health depression; geriatric medically ill |
| title | Depression in medically ill geriatric patients – A study of predictive factors |
| title_full | Depression in medically ill geriatric patients – A study of predictive factors |
| title_fullStr | Depression in medically ill geriatric patients – A study of predictive factors |
| title_full_unstemmed | Depression in medically ill geriatric patients – A study of predictive factors |
| title_short | Depression in medically ill geriatric patients – A study of predictive factors |
| title_sort | depression in medically ill geriatric patients a study of predictive factors |
| topic | depression; geriatric medically ill |
| url | http://www.amhonline.org/article.asp?issn=2589-9171;year=2017;volume=18;issue=1;spage=18;epage=24;aulast=Rao;type=0 |
| work_keys_str_mv | AT harshitharao depressioninmedicallyillgeriatricpatientsastudyofpredictivefactors AT psmurthy depressioninmedicallyillgeriatricpatientsastudyofpredictivefactors |