+44 1752 712024
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 |
|
- 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
ANXIETY AND DEPRESSION SYMPTOMS AMONG OLDER CHINESE MIGRANTS: A NETWORK ANALYSIS
Author(s): Jun Yao*, Yuefan Zhao, Ruoxiu Zhang, Chi Zhang and Qian TangIntroduction: With the development of an aging society, anxiety and depression are common psychological problems in elderly individuals. Therefore, in view of the mental health problems of older migrants, this study investigated the network structure of anxiety and depression symptoms in older migrants in China and determined the central symptoms and bridge symptoms, which provide key symptoms to ensure the mental health of older migrants in our country and further prevent anxiety and depression problems in older migrants.
Materials and Methods: To understand the symptoms of depression and anxiety in older Chinese migrants, 469 older migrants were investigated. Depressive symptoms were measured using the Patient Health Questionnaire (PHQ-9), and anxiety symptoms were measured using the Anxiety Scale in the Hospital Anxiety and Depression Questionnaire (HADS-A). Build networks with network analysis. A Gaussian graph model is used to construct an undirected network with a partial correlation coefficient, in which the nodes connected by edges are connected.
Results: The strongest inverse edge connections in the network were for “Relax” in anxiety and “Motor” in depression, and the strongest edges were concentrated in symptoms on the anxiety scale. It was also revealed that the bridge symptoms in the network were “Relax” and “Restless” in anxiety and “Guilt” in depressive symptoms. Central symptoms in the network include “Restless”, “Relax” and “Fear” in anxiety and “Guilt” in depression.
Conclusion: The anxiety symptoms of “restlessness” and “relax” have a great impact on the mental health network of migrant elders. Future intervention and prevention targets could focus on anxiety symptoms in older migrants.
