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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The impact of age differences in couples on depressive symptoms: evidence from the Korean longitudinal study of aging (2006–2012)
|
|---|---|
| Published in |
BMC Psychiatry, February 2015
|
| DOI | 10.1186/s12888-015-0388-y |
| Pubmed ID | |
| Authors |
Jae-Hyun Kim, Eun-Cheol Park, Sang Gyu Lee |
| Abstract |
BackgroundDepression represents one of the most common psychiatric disorders among older adults. Married couples are affected frequently, and psychiatric problems usually affect marital satisfaction. Despite the frequency of such relationships, it appears that very few studies have examined the issues that arise in couples of this type of marriage. Therefore, we investigate whether age differences between couples affect extent of depressive symptoms among older adults.MethodsOur analysis included 2,881 couples (i.e., 2,881 households) at least 45 years of age at baseline (2006), in addition to 3,033 couples in 2008, 2,772 couples in 2010, and 2,711 couples in 2012. A generalized linear mixed model was used for the data analysis.ResultsWhen the age difference between husbands and wives was 3 years or less, the estimated severity of depressive symptoms was 0.309 higher (SE¿=¿0.084, p¿=¿0.000) than that of same-aged couples. When the age gap was 3 years or more, the estimated severity of depressive symptoms was 0.645 higher (SE¿=¿0.109, p¿<¿.0001) than that of same-aged couples. For every 1¿2 years extra in age difference between wives and husbands, the estimated severity of depressive symptoms increased by 0.194 (SE¿=¿0.082, p¿=¿0.018), compared with same-aged couples.ConclusionsAge differences between husbands and wives impact their relationship, including any particular marital issues encountered. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 18% |
| Australia | 1 | 9% |
| Ukraine | 1 | 9% |
| Japan | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 82% |
| Practitioners (doctors, other healthcare professionals) | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 13% |
| Researcher | 4 | 11% |
| Other | 3 | 8% |
| Professor | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 8 | 21% |
| Unknown | 12 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 29% |
| Psychology | 4 | 11% |
| Economics, Econometrics and Finance | 2 | 5% |
| Nursing and Health Professions | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 1 | 3% |
| Unknown | 16 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 26 February 2024.
All research outputs
#1,557,540
of 25,654,806 outputs
Outputs from BMC Psychiatry
#509
of 5,502 outputs
Outputs of similar age
#21,015
of 362,144 outputs
Outputs of similar age from BMC Psychiatry
#10
of 74 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done particularly well, scoring higher than 90% 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 362,144 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.