Google Scholar citation report
Citations : 5373
ASEAN Journal of Psychiatry received 5373 citations as per google scholar report
ASEAN Journal of Psychiatry peer review process verified at publons
Journal Name | ASEAN Journal of Psychiatry (MyCite Report) | ||||
---|---|---|---|---|---|
Total Publications | 456 | ||||
Total Citations | 5688 | ||||
Total Non-self Citations | 12 | ||||
Yearly Impact Factor | 0.93 | ||||
5-Year Impact Factor | 1.44 | ||||
Immediacy Index | 0.1 | ||||
Cited Half-life | 2.7 | ||||
H-index | 30 | ||||
Quartile |
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- Anxiety Disorders
- Behavioural Science
- Biological Psychiatry
- Child and Adolescent Psychiatry
- Community Psychiatry
- Dementia
- Community Psychiatry
- Suicidal Behavior
- Social Psychiatry
- Psychiatry
- Psychiatry Diseases
- Psycho Trauma
- Posttraumatic Stress
- Psychiatric Symptoms
- Psychiatric Treatment
- Neurocognative Disorders (NCDs)
- Depression
- Mental Illness
- Neurological disorder
- Neurology
- Alzheimer's disease
- Parkinson's disease
Abstract
EVALUATION OF DEPRESSION SCREENING AND INTERVENTION PROGRAMS FOR THE ELDERLY IN QUANG NGAI, VIETNAM
Author(s): Tram-Anh Thi Nguyen* and Nguyet Thi TrinhAccording to a survey published by the National Center for Health Statistics, depression can affect people of any age, but the prevalence of the condition was shown to be second greatest among people aged 65 and older. The most significant repercussion of late-life depressed syndrome is an increase in the overall death rate, which can be attributed to either suicide or other illnesses. The primary objective of this research is to evaluate the impacts of depression caused by biological factors, interpersonal variables, and other socially linked factors on Vietnamese senior people. The Geriatric Depression Scale (GDS-15) was used to evaluate and screen the elderly for signs of geriatric depression in the final data set, which included 630 males (40.1% of the total) and 942 females (59.9% of the total). The participants ranged in age from 60 to 80 years and were all older than that. The most important findings revealed that aspects of this study, such as gender and the amount of time spent sleeping each day, had the potential to operate as predictors of elderly depression.