Evidence map›Paper›PMID 36644676›Full record

ArticleHeliyon2023

The impact of posttraumatic stress symptoms on quality of life among battered wives in India amidst the COVID-19 pandemic.

Joji Joseph, Rodel P Canlas

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 100% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Joji JosephGraduate School, University of Santo Tomas, Philippines.
Rodel P CanlasGraduate School, University of Santo Tomas, Philippines.
University of Santo Tomas · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Battery against women has alarmingly escalated since the COVID-19 Pandemic, resulting in increase in post-traumatic stress disorder and negatively influenced their quality of life. Purpose: The purpose of this research was to find the effect of PTSD on the quality of life among battered wives in Madhya Pradesh, India, during the said plague. Method: Two hundred and seventy-seven battered wives, aged 20 years old to 49 years old participated in this study. Purposive sampling method was employed for data collection. The assessment instruments used were the respondents' demographic data, the Post-Traumatic Stress Disorder Symptom Scale-Interview version DSM-5, and World Health Organization Quality of Life. Whereas, for the quantitative data analysis, descriptive statistics, and regression analysis were used. Furthermore, the demographic details of the participants-age, education, duration of marriage, economic status, types of violence and number of children -severely impacted which added to the posttraumatic stress symptoms among domestically abused women. Results: Findings revealed that posttraumatic stress symptoms were a strong predictor of poor quality of life among battered wives (R2 = 0.587; β = 0.766). The study also has found that the demographic details of the participants-age, education, duration of marriage, economic status, types of violence and number of children were significantly related with vulnerability to posttraumatic stress symptoms among battered women. Conclusion: Battered women's mental health conditions continued to be a major issue in India, and psychological interventions were strongly recommended.

Indexed as

Battered wivesCOVID-19 pandemicPosttraumatic stress symptomsQuality of life

Identifiers

PMID36644676
PMCPMC9829435
OpenAlexW4313856346

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.