Evidence map›Paper›PMID 37622793›Full record

ArticleBehavioral sciences (Basel, Switzerland)2023

The Trajectory of Depression through Disenfranchised Grief in Young Widows in Times of COVID-19: A Case Report from Rural India.

Shagufta Nasir, Lydia Giménez-Llort

Open access · goldAbstract readCase Reports
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Shagufta NasirDepartment of Psychiatry and Forensic Medicine, School of Medicine, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.ORCID 0000-0002-6584-6117
Lydia Giménez-LlortDepartment of Psychiatry and Forensic Medicine, School of Medicine, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain.ORCID 0000-0002-4091-489X
Universitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic was one of this century's deadliest and most widespread viral outbreaks, with higher mortality rates in men than women. Disruptions in funeral rituals and customs, no social recognition of the losses, and limited social support have complicated the grieving process and are linked to disenfranchised (not openly acknowledged, socially recognized, or publicly mourned) grief. Depression is also highly comorbid with complicated grief. Losing a spouse can be devastating, and this is more severe for women with limited or no resources, who are vulnerable because of the patriarchal society. In the current COVID-19 era, increased uncertainty and disenfranchised grief can worsen the clinical scenario and hamper interventions, as highlighted by the present case report on disenfranchised grief with depressive symptoms in a 30-year-old woman from rural India who, after a year of marriage, lost her husband due to COVID-19. This case study emphasizes the impact of multiple types of disadvantages due to sociodemographic and cultural determinants that can complicate the grieving process in the current context. The bioecological model of grief recovery considers individual features and societal/environmental factors to postulate the appropriate intervention. Finding meaning and purpose in life and restoration-oriented coping were successful for the clinical management of the patient.

Indexed as

bioecological modelcopingCOVID-19 pandemicdisenfranchised griefrural Indiawidowhood

Identifiers

PMID37622793
PMCPMC10451176
OpenAlexW4385576801

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.