Exploration of a Psychological Defensive Syndrome Against Depressive Symptomatology in a Community Sample of Indian Women.
Parwinder SinghNavneet MishraPublished in: Psychological reports (2022)
The prevalence of depressive symptomatology in Indian women and the associated treatment gap are alarming and require interventions at a community level. Such interventions may succeed if the specific risk and protective factors are appropriately identified and addressed. Identifying such factors may suggest a Psychological Defensive Syndrome (PDS) against depressive symptomatology, and inculcating this PDS through specific interventions may help individuals manage depressive symptomatology. For evaluating the feasibility of such an idea, a two-phase research project was initiated, and the current paper presents findings of its first phase. The primary aim of the first phase was to explore the predictive relationship between depressive symptomatology and rumination, reappraisal, resilience, self-efficacy, neuroticism, and extraversion. A total of 671 women (M age = 23.71) responded to standardized questionnaires in a semi-structured interview setting. The obtained data were subjected to correlational, regression, and path analysis. The findings support all the hypotheses; women, who reported less engagement in rumination and more in reappraisal, who scored low on neuroticism and high on extraversion, resilience and self-efficacy, showed less severe depressive symptoms than their counterparts. This pattern can be thought of as a PDS against depressive symptoms in Indian women. These results highlight the importance of addressing these factors in preventing and assuaging depressive symptomatology in Indian women.
Keyphrases
- polycystic ovary syndrome
- depressive symptoms
- bipolar disorder
- pregnancy outcomes
- stress induced
- breast cancer risk
- social support
- cervical cancer screening
- physical activity
- healthcare
- mental health
- pregnant women
- metabolic syndrome
- social media
- type diabetes
- skeletal muscle
- electronic health record
- risk factors
- deep learning
- smoking cessation
- combination therapy
- psychometric properties