ArticleBMC medical research methodology2018
Application of the dyadic data analysis in behavioral medicine research: marital satisfaction and anxiety in infertile couples.
Article in BMC medical research methodology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 30 citations in OpenAlex.
- Factors influencing the anxiety and depression status in patients undergoing in vitro fertilization-embryo transfer assisted pregnancy.Scientific reports · 2025Article
- Impact of perceived social support on anxiety and depression in women undergoing in vitro fertilization-embryo transfer: the role of psychological resilience.Journal of assisted reproduction and genetics · 2025Article
- Role of Marital Relationship Quality in Emotional Disturbance and Personal Growth of Women with Infertility: A Cross-Sectional Study.International journal of fertility & sterility · 2023Article
- Prevalence and associated risk factors for anxiety and depression in infertile couples of ART treatment: a cross-sectional study.BMC psychiatry · 2022Observational
- Changes in the Sexual Behavior of Partners in Each Trimester of Pregnancy in Otwock in Polish Couples.International journal of environmental research and public health · 2022Article
- Infertility Related Quality of Life and Self-Efficacy among Infertile Couples: A Dyadic Approach.Iranian journal of public health · 2021Article
- The Analysis of Anxiety and Depression in Different Stages of in vitro Fertilization-Embryo Transfer in Couples in China.Neuropsychiatric disease and treatment · 2021Article
- Quality of Life and General Health in Pregnant Women Conceived with Assisted Reproductive Technology: A Case-Control Study.International journal of fertility & sterility · 2020Article
- The effects of depression, anxiety and stress symptoms on the clinical pregnancy rate in women undergoing IVF treatment.BMC research notes · 2019Article
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5 authors at 3 institutions in 1 country.
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Abstract
backgroundDyadic data analysis (DDA) is increasingly being used to better understand, analyze and model intra- and inter-personal mechanisms of health in various types of dyads such as husband-wife, caregiver-patient, doctor-patient, and parent-child. A key strength of the DDA is its flexibility to take the nonindependence available in the dyads into account. In this article, we illustrate the value of using DDA to examine how anxiety is associated with marital satisfaction in infertile couples.
methodsThis cross-sectional study included 141 infertile couples from a referral infertility clinic in Tehran, Iran between February and May 2017. Anxiety and marital satisfaction were measured by the anxiety subscale of the Hospital Anxiety and Depression Scale and 10-Item ENRICH Marital Satisfaction Scale, respectively. We apply and compare tree different dyadic models to explore the effect of anxiety on marital satisfaction, including the Actor-Partner Interdependence Model (APIM), Mutual Influence Model (MIM), and Common Fate Model (CFM).
resultsThis study demonstrated a practical application of the dyadic models. These dyadic models provide results that appear to give different interpretations of the data. The APIM analysis revealed that both men's and women's anxiety excreted an actor effect on their own marital satisfaction. In addition, women's anxiety exerted a significant partner effect on their husbands' marital satisfaction. In MIM analysis, in addition to significant actor effects of anxiety on marital satisfaction, women's reports of marital satisfaction significantly predicted men's marital satisfaction. The CFM analysis revealed that higher couple anxiety scores predicted lower couple marital satisfaction scores.
conclusionIn sum, the study highlights the usefulness of DDA to explore and test the phenomena with inherently dyadic nature. With regard to our empirical data, the findings confirmed that marital satisfaction was influenced by anxiety in infertile couples at both individual and dyadic level; thus, interventions to improve marital satisfaction should include both men and women. In addition, future studies should consider using DDA when dyadic data are available.
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