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The impact of age differences in couples on depressive symptoms: evidence from the Korean longitudinal study of aging (2006–2012)

Overview of attention for article published in BMC Psychiatry, February 2015
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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6 tweeters
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1 Facebook page

Citations

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12 Dimensions

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32 Mendeley
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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.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Researcher 4 13%
Professor 3 9%
Student > Master 2 6%
Other 2 6%
Other 9 28%
Unknown 8 25%
Readers by discipline Count As %
Medicine and Dentistry 10 31%
Psychology 4 13%
Economics, Econometrics and Finance 2 6%
Unspecified 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 12 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 May 2022.
All research outputs
#6,211,808
of 22,999,744 outputs
Outputs from BMC Psychiatry
#2,170
of 4,738 outputs
Outputs of similar age
#84,612
of 353,245 outputs
Outputs of similar age from BMC Psychiatry
#33
of 74 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,738 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has gotten more attention than average, scoring higher than 53% 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 353,245 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 75% 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 gotten more attention than average, scoring higher than 55% of its contemporaries.