MétaCan
Menu
Back to cohort
Record W3177031541 · doi:10.1186/s13643-021-01719-0

Improved couple satisfaction and communication with marriage and relationship programs: are there gender differences?—a systematic review and meta-analysis

2021· review· en· W3177031541 on OpenAlexaff
Zeinab Javadivala, Hamid Allahverdipour, Mohammad Asghari Jafarabadi, Somaye Azimi, Neda Gilani, Vijay Kumar Chattu

Bibliographic record

VenueSystematic Reviews · 2021
Typereview
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFunnel plotMeta-analysisMedicinePublication biasCochrane LibrarySystematic reviewMEDLINERandomized controlled trialStudy heterogeneityPopulationConfidence intervalRandom effects modelInclusion and exclusion criteriaFamily medicineDemographyAlternative medicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background The aspects of marriage and relationship and their effect on couples’ satisfaction are essential and critical aspects to be explored in this globalized and contemporary world. Since there are no reported meta-analysis and systematic reviews conducted in the last two decades in this area, we aimed to investigate the effect of marriage and relationship programs (MRP) on couples’ relationship satisfaction (CRS) and couples’ relationship communication (CRC) and also to determine the gender differences if any. Method In this systematic review and meta-analysis, the randomized clinical trials (RCTs) published between 2000 and July 26, 2019, were retrieved from several online electronic databases such as Medline, Embase, ProQuest, and Cochrane Library. Inclusion and exclusion criteria were developed using the PICO (Population, Intervention, Comparison, Outcome) framework of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). The mean differences (MDs) and 95% confidence intervals (CIs) were calculated. The reported summary statistics were calculated as random effects models based on the heterogeneity between the studies model. Funnel plots and the Egger regression test was used to confirm the presence of any publication bias. Results Of the total 12 intervention studies included, five (5) are education/communication skills programs, three (3) enrichment programs, and four (4) therapy programs. The impact of these programs was investigated on CRS and CRC. Therapy programs had a larger effect than other programs (pooled MD: 0.53 (95% CI = 0.35 to 0.71, I 2 = 71.5% p = 0.0001) and had a larger effect size on wives (pooled MD: 0.53 (95% CI 0.25 to 0.80, I 2 = 74.1% p = 0.0001) than husbands RS (pooled MD: 0.26 (95% CI 0.25 to 0.76, I 2 = 72.4% p = 0.0001). In RC (relationship communication) area, the Enhancement programs showed the small to large effect on CRC (pooled MD: 1.31 (95% CI = 0.13 to 2.50, I 2 = 94.7% p = 0.0001)) and educational programs showed small to medium effect (pooled MD: 0.32 (95% CI = 0.13 to 0.50, I 2 = 74.5% p = 0.0001) on women and no effect on men. Conclusion Due to the high effect of the therapy programs on CRS and enhancement program on CRC in the current meta-analysis, the priority of their utilizations in interventions, especially by psychologists and mental health professionals, should be emphasized. Therefore, mental health planning in communities to develop MRP and care for couples’ health should be given special attention to men’s health. Due to the high heterogeneity of the results and with scanty literature in this specific domain, we are uncertain about their actual effect. However, well-designed RCTs with a larger sample size would be beneficial in closely examining the effect of MRPs on CRS and CRC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.042
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0200.035
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.226
GPT teacher head0.438
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

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".

Quick stats

Citations17
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueSystematic ReviewsSame topicAttachment and Relationship DynamicsFrench-language works237,207