Evidence map›Paper›PMID 40425169›Full record

Trial reportClinical psychology & psychotherapy

Forgiveness Therapy to Build Hope and Reduce Anxiety and Depression in Battered Women in Pakistan.

Sana Nisar, Lifan Yu, Rabia Iftikhar, Robert D Enright

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical psychology & psychotherapy. 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
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.

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

4 authors.

Sana NisarGovernment College University, Lahore, Pakistan.ORCID https://orcid.org/0009-0008-8777-5461
Lifan YuArizona State University, Tempe, Arizona, USA.ORCID https://orcid.org/0000-0002-9294-1806
Rabia IftikharGovernment College University, Lahore, Pakistan.
Robert D EnrightUniversity of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0001-6996-683X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the impact of forgiveness therapy on battered women in Pakistan. The aim was to evaluate the effectiveness of a forgiveness-focused intervention in reducing depression, anxiety and anger while increasing forgiveness and hope among the battered women within shelter homes. Thirty participants, aged 25-40, were randomly assigned to either the experimental or control group. Participants were recruited from various cities across Punjab, including Hafizabad, Lahore, Gujrat, Khushab, Sargodha and Gujranwala. The Enright Forgiveness Inventory short form (to assess individual levels of forgiveness), the Center for Epidemiological Studies-Depression Scale (CES-D), Generalized Anxiety Disorder Scale, Herth Hope Index, and the Clinical Anger Scale were used as instruments to measure the outcomes of the intervention. The Domestic Violence Scale for Intimate Partners was employed for participant screening. The experimental group underwent 15 therapy sessions, while the control group participants were free to approach the experimental group intervener if they needed help. Results indicated that the experimental group experienced significant improvements in depression, anxiety, anger, hope and forgiveness compared to the control group. The study discusses the implications for treatment and acknowledges its limitations as well.

Indexed as

AnxietyAnxiety DisordersBattered WomenDepressionDepressive DisorderForgivenessHopeAdultAngerFemaleHumansPakistanTreatment Outcomeanxietybattered womenclinical angerdepressiondomestic violenceEnright Forgiveness Inventoryhope

Identifiers

PMID40425169
PMCPMC12116049

What OpenQuestion holds

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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.