The objectives of this prospective cohort study were to 1) determine the prevalence of depressed mood, 2) identify the characteristics associated with it, and 3) evaluate the recognition rate of depressed mood by clinicians. The study population was a cohort of 401 elderly patients, aged 75 years and older, admitted to the internal medicine service of a tertiary care academic medical center in Western Switzerland over six months. We excluded patients with severe cognitive impairment, terminal disease or those living in a nursing home. Data on demographics, medical, physical, social and mental status were collected upon admission. Presence of depressed mood was defined as a score > or = 6 on the Geriatric Depression Scale (GDS), short...
Objectives We aimed to investigate the frequency of depression among elderly residents of Sedigh Nur...
Background: Depression is the most common mental disorder in old age with a major impact on quality ...
Chuan Zou,* Shanping Chen,* Jing Shen, Xiaomei Zheng, Lingxiao Wang, Lijuan Guan, Qian Liu, Yongxue ...
The objectives of this prospective cohort study were to 1) determine the prevalence of depressed moo...
The objectives of this prospective cohort study were to 1) determine the prevalence of depressed moo...
Background. Studies of recognition of depression in elderly (aged 65 or more) medical inpatients sho...
Depression is a common and disabling psychiatric disorder in later life. Particular frail nursing ho...
Background: Depression is a common and disabling psychiatric disorder in later life. Particular frai...
Background: Depression is a common and disabling psychiatric disorder in later life. Particular frai...
Background: This study aims to evaluate the prevalence of depressive symptoms and associated factors...
Depression is a state of feeling sad, miserable and down in the dumps with loss of self-confidence. ...
Background: Medically ill elderly patients are more prone to develop depression. Stressful life even...
Depression is common in older people with long-term physical illness and disability. Studies suggest...
Depression is a pathological state of the mind characterised lack of self-confidence and self-esteem...
Background: Various studies support the notion that the clinical picture of depression in the oldest...
Objectives We aimed to investigate the frequency of depression among elderly residents of Sedigh Nur...
Background: Depression is the most common mental disorder in old age with a major impact on quality ...
Chuan Zou,* Shanping Chen,* Jing Shen, Xiaomei Zheng, Lingxiao Wang, Lijuan Guan, Qian Liu, Yongxue ...
The objectives of this prospective cohort study were to 1) determine the prevalence of depressed moo...
The objectives of this prospective cohort study were to 1) determine the prevalence of depressed moo...
Background. Studies of recognition of depression in elderly (aged 65 or more) medical inpatients sho...
Depression is a common and disabling psychiatric disorder in later life. Particular frail nursing ho...
Background: Depression is a common and disabling psychiatric disorder in later life. Particular frai...
Background: Depression is a common and disabling psychiatric disorder in later life. Particular frai...
Background: This study aims to evaluate the prevalence of depressive symptoms and associated factors...
Depression is a state of feeling sad, miserable and down in the dumps with loss of self-confidence. ...
Background: Medically ill elderly patients are more prone to develop depression. Stressful life even...
Depression is common in older people with long-term physical illness and disability. Studies suggest...
Depression is a pathological state of the mind characterised lack of self-confidence and self-esteem...
Background: Various studies support the notion that the clinical picture of depression in the oldest...
Objectives We aimed to investigate the frequency of depression among elderly residents of Sedigh Nur...
Background: Depression is the most common mental disorder in old age with a major impact on quality ...
Chuan Zou,* Shanping Chen,* Jing Shen, Xiaomei Zheng, Lingxiao Wang, Lijuan Guan, Qian Liu, Yongxue ...