| Literature DB >> 35251650 |
Dhana Ratna Shakya1, Sandesh Raj Upadhaya1.
Abstract
Bipolar disorder is a chronic and recurring psychiatric illness. Emphasis on enhancing key protective factors like social support systems and promoting this to minimize risk factors like non-compliance is one of the key strategies tied to enhance overall psychological, intellectual, and emotional health for symptoms remission and relapse prevention even during adverse situations like the COVID-19 crisis. We intend here to point out implication of the dynamics of the protective and risk factors for bipolar mood through a 23-year patient from eastern Nepal, which is largely harmonious in its multi-ethnic, multilingual and multicultural social composition. This attribute of social cohesiveness and compassion is evident in this case report. When disturbed and ill, neighbors from native semi-urban Nepalese society did support even in the times of crisis of COVID-19 pandemic. The support of other people including neighbors is a key factor for the short-term and long-term management of bipolar mood.Entities:
Keywords: COVID‐19; bipolar disorder; protective factor; risk Factor; social support
Year: 2022 PMID: 35251650 PMCID: PMC8886659 DOI: 10.1002/ccr3.5523
Source DB: PubMed Journal: Clin Case Rep ISSN: 2050-0904
Protective and risk factors of bipolar mood
| Factors | Protective factors | Risk factors |
|---|---|---|
| 1. Genetic loading | Asbsence of family history | Presence of family history |
| 2. Traits, temperament, and predictors of bipolarity | Absence of trait bipolar (cyclothymia), hyperthymic temperament, and predictors of bipolarity | Presence of trait bipolar, hyperthymic temperament and predictor of bipolarity |
| 3. Age of onset | Advance age of onset (Rule out organicity) | Early age of onset |
| 4. Social stressor | Absence of stressor |
Pressence of stressor Subjective perception of life events more important than life event itself |
| 5. Social support | Presence of social network, social interaction, and instrumental support | Poor social support |
| 6. Marital status | Being married is protective as well as predictor for future separation | Being single, divorced, or separated |
| 7. Socioeconomic factors | Higher level of education, good income, living condition, employed status is protective (overrepresentation in bipolar II patients) | Lower socioeconomic status (lower level of education, lower level of income, poorer living condition, higher level of unemployment) |
| 8. Residence (rural‐urban difference) | Rural communities (in relation to stressful life) | Urban communities |
| 9. Substance use (comorbid axis I diagnosis) | Absence of alcohol abuse or dependence | Presence of alcohol abuse and dependence |
| 10. Treatment adherence | Presence of treatment adherence | Absence of treatment adherence |