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Attention Score in Context
| Title |
Depressed Mood During Early to Middle Adolescence: A Bi-national Longitudinal Study of the Unique Impact of Family Conflict
|
|---|---|
| Published in |
Journal of Youth and Adolescence, February 2016
|
| DOI | 10.1007/s10964-016-0433-2 |
| Pubmed ID | |
| Authors |
Adrian B. Kelly, W. Alex Mason, Mary B. Chmelka, Todd I. Herrenkohl, Min Jung Kim, George C. Patton, Sheryl A. Hemphill, John W. Toumbourou, Richard F. Catalano |
| Abstract |
Adolescent depressed mood is related to the development of subsequent mental health problems, and family problems have been linked to adolescent depression. Longitudinal research on adolescent depressed mood is needed to establish the unique impact of family problems independent of other potential drivers. This study tested the extent to which family conflict exacerbates depressed mood during adolescence, independent of changes in depressed mood over time, academic performance, bullying victimization, negative cognitive style, and gender. Students (13 years old) participated in a three-wave bi-national study (n = 961 from the State of Washington, United States, n = 981 from Victoria, Australia; 98 % retention, 51 % female in each sample). The model was cross-lagged and controlled for the autocorrelation of depressed mood, negative cognitive style, academic failure, and bullying victimization. Family conflict partially predicted changes in depressed mood independent of changes in depressed mood over time and the other controls. There was also evidence that family conflict and adolescent depressed mood are reciprocally related over time. The findings were closely replicated across the two samples. The study identifies potential points of intervention to interrupt the progression of depressed mood in early to middle adolescence. |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 136 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 15% |
| Researcher | 14 | 10% |
| Student > Ph. D. Student | 13 | 10% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 7 | 5% |
| Other | 19 | 14% |
| Unknown | 51 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 34 | 25% |
| Social Sciences | 14 | 10% |
| Nursing and Health Professions | 9 | 7% |
| Medicine and Dentistry | 6 | 4% |
| Business, Management and Accounting | 2 | 1% |
| Other | 11 | 8% |
| Unknown | 60 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 04 February 2018.
All research outputs
#21,415,544
of 23,906,448 outputs
Outputs from Journal of Youth and Adolescence
#1,697
of 1,813 outputs
Outputs of similar age
#346,842
of 406,978 outputs
Outputs of similar age from Journal of Youth and Adolescence
#38
of 40 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,813 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 406,978 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.