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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The relationship between marital satisfaction and depression in infertile couples: an actor–partner interdependence model approach
|
|---|---|
| Published in |
BMC Psychiatry, September 2018
|
| DOI | 10.1186/s12888-018-1893-6 |
| Pubmed ID | |
| Authors |
Saman Maroufizadeh, Mostafa Hosseini, Abbas Rahimi Foroushani, Reza Omani-Samani, Payam Amini |
| Abstract |
Much evidence consistent with the Marital Discord Model of Depression (MDMD) suggests that marital discord is associated with depression, but no studies examine the relationship between marital satisfaction and depression at the dyadic level in infertile couples. This study examined the effect of actors' and partners' marital satisfaction on depressive symptoms in husband-wife dyads with infertility using an innovative dyadic analysis approach, the Actor-Partner Interdependence Model (APIM). In this cross-sectional study, the sample comprised of 141 infertile couples in the evaluation phase of treatment. We collected data in a referral infertility center in Tehran, Iran between February and May 2017. Marital satisfaction and depression were measured using ENRICH marital satisfaction scale and Hospital Anxiety and Depression Scale, respectively, before starting the treatment. Dyadic analysis applying the APIM was used. In this study, actor effect is the impact of a person's marital satisfaction on his/her own depression. Partner effect is the impact of a person's marital satisfaction on his/her partner's depression. The APIM analysis revealed that both men and women's marital satisfaction excreted an actor effect on their own depression (β = - 0.412, P < 0.001; β = - 0.263, P = 0.002, respectively). Furthermore, men's marital satisfaction exerted a significant partner effect on their wives' depression symptoms (β = - 0.170, p = 0.047). However, the wives' marital satisfaction was not related to their husbands' depressive symptoms (β = - 0.028, P = 0.735). The findings support that the MDMD is a valid theoretical model for the conceptualization of marital satisfaction and depressive symptoms among infertile couples and suggest that interventions to reduce depressive symptoms should include both men and women. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 12% |
| Student > Master | 9 | 9% |
| Student > Bachelor | 9 | 9% |
| Researcher | 8 | 8% |
| Lecturer | 5 | 5% |
| Other | 15 | 16% |
| Unknown | 38 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 30 | 32% |
| Medicine and Dentistry | 10 | 11% |
| Social Sciences | 6 | 6% |
| Nursing and Health Professions | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 39 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2018.
All research outputs
#4,228,790
of 23,881,329 outputs
Outputs from BMC Psychiatry
#1,620
of 4,939 outputs
Outputs of similar age
#81,271
of 342,909 outputs
Outputs of similar age from BMC Psychiatry
#56
of 106 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,939 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,909 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.