ArticleFrontiers in psychology2020
Does Dyadic Coping Predict Couples' Postpartum Psychosocial Adjustment? A Dyadic Longitudinal Study.
Article in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06917417 (The Effect of Laughter Therapy Given to Mothers in the Postpartum Period on Marital Adjustment, Life Satisfaction and Maternal Bonding Levels in Mothers; A Randomized Controlled Trial), which is not on this map. Cited by 9 papers.
What it found
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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.
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.
The Effect of Laughter Therapy Given to Mothers in the Postpartum Period on Marital Adjustment, Life Satisfaction and Maternal Bonding Levels in Mothers; A Randomized Controlled Trial
Who cites it
9 citing papers in PubMed, 24 citations in OpenAlex.
- Couples' symbiotic experience in perinatal vulnerability: a phenomenological qualitative study.BMC pregnancy and childbirth · 2026Article
- The relationship of postpartum depression with dyadic coping strategies and relationship satisfaction.Revista da Associacao Medica Brasileira (1992) · 2026Article
- Analysis of variables affecting postpartum quality of life: their relative influence and interrelationships.BMC pregnancy and childbirth · 2025Article
- Linking self-esteem and marital adjustment among couples in the third trimester of pregnancy: the mediating role of dyadic coping.BMC pregnancy and childbirth · 2025Article
- Partners Now Parents: Supporting Couples During the Journey to Parenthood.Family process · 2025Article
- The dyadic associations among self-efficacy, dyadic coping, and health-related quality of life between high-risk pregnant women and spouses: a cross-sectional study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Exploring the first-time transition to parenthood in mainland China: a qualitative study on the experiences of fathers and mothers using the transition shock model.Frontiers in psychology · 2024Article
- Shared Responsibility and Network Collaboration in Caregiving.Social networks · 2023Article
- Links of we-talk to caregiver social network systems and health.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The way couples jointly manage pregnancy-related demands may prevent both members from experiencing psychosocial maladjustment after childbirth. This study examined (a) changes in dyadic coping (DC) and indicators of psychosocial adjustment [depressive and anxiety symptoms and quality of life (QoL)] from the second trimester of pregnancy (T1) to 6 weeks postpartum (T2), (b) the actor and partner effects of DC at T1 on couples' adjustment at T2, and (c) whether changes in DC over time would be associated with changes in the adjustment of both women and their partners. This study adopted a prospective quantitative dyadic longitudinal design. A total of 303 couples from Portugal answered self-report questionnaires assessing DC, depressive and anxiety symptoms, and QoL at T1, of which 290 were contacted at T2 to complete the same measures (
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Registered trials
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.