Factors affecting resilience in pregnant Lebanese women exposed to overlapping crises
Bibliographic record
Abstract
BACKGROUND: Resilience is a critical determinant of individuals' psychological well-being and their ability to cope with adversity. Resilience has emerged as a point of clinical relevance when addressing the effects of extreme environmental adversity on vulnerable populations. Lebanon experienced an economic collapse, the COVID-19 pandemic and the Beirut Blast within the span of a single year, causing significant lasting damage. Pregnant women were particularly vulnerable during this period of time. This study aims to measure the resilience of pregnant women in Lebanon after exposure to multiple, large-scale traumatic events. It also examines the potential effect of obstetrical factors, perceived stress, perceived social support, and childhood experiences on resilience scores. METHODS: We conducted a cross-sectional study among Lebanese pregnant women. A total of 257 pregnant Lebanese women who resided in Lebanon during all three crises were recruited to participate. Resilience, adverse and benevolent childhood experiences, and perceived social support were measured using validated scales: the Connor-Davidson Resilience Scale, the Adverse Childhood Experiences questionnaire, the Benevolent Childhood experiences scale, and the Multidimensional Scale of Perceived Social Support respectively. We also included a section on perceived stress, which included questions about the impact of the COVID-19 pandemic, the economic crisis, and the Beirut blast. RESULTS: Our findings revealed a significant negative correlation between resilience and perceived stress (b=-0.157), suggesting resilience's protective role against the negative impact of stress during pregnancy. Furthermore, a positive correlation was demonstrated between perceived social support and resilience (b = 0.19), underscoring the importance of supportive networks in boosting resilience. CONCLUSION: This research contributes vital knowledge to the understanding of resilience during the perinatal period. It emphasizes the need for comprehensive prenatal care that incorporates social and psychological support, thereby enhancing resilience and overall well-being in pregnant women amidst the multifaceted challenges faced in Lebanon.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".