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Mental health and school dropout across educational levels and genders: a 4.8-year follow-up study

Overview of attention for article published in BMC Public Health, September 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
8 news outlets
policy
2 policy sources
twitter
11 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
284 Mendeley
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Title
Mental health and school dropout across educational levels and genders: a 4.8-year follow-up study
Published in
BMC Public Health, September 2016
DOI 10.1186/s12889-016-3622-8
Pubmed ID
Authors

Cathrine F. Hjorth, Line Bilgrav, Louise Sjørslev Frandsen, Charlotte Overgaard, Christian Torp-Pedersen, Berit Nielsen, Henrik Bøggild

Abstract

Education is a key determinant of future employment and income prospects of young people. Poor mental health is common among young people and is related to risk of dropping out of school (dropout). Educational level and gender might play a role in the association, which remains to be studied. Mental health was measured in 3146 Danish inhabitants aged 16-29 years using the 12-Item Short-Form Health Survey and examined across genders and educational levels. For students, educational level at baseline was used; for young people who were not enrolled in school at baseline (non-students), the highest achieved educational level was used. The risk of dropout in students was investigated in administrative registers over a 4.8-year period (1(st) March 2010-31(th) December 2014). Odds ratios (OR) and 95 % confidence intervals (CI) were calculated for mental health and in relation to dropout in logistic regression models, adjusting for age, gender, educational level, parental education, parental income and ethnicity. Poor mental health was present in 24 % (n = 753) of the participants, 29 % (n = 468) in females and 19 % (n = 285) in males (p < 0.0001). The prevalence differed from 19 to 39 % across educational levels (p < 0.0001). Females had a statistically significantly higher adjusted risk of poor mental health than males (OR = 1.8, CI = 1.5-2.2). Among the students the lowest risk was found at the elementary level (OR = 1.3, CI = 0.8-2.3), while students in higher education had a statistically significantly higher risk (OR = 1.9, CI = 1.2-2.9). The lowest-educated non-students had the highest OR of poor mental health (OR = 3.3, CI = 2.1-5.4). Dropout occurred in 8 % (n = 124) of the students. Poor mental health was associated to dropout in vocational (OR = 1.8, CI = 1.0-3.2) and higher education (OR = 2.0, CI = 1.0-4.2). For males in higher education, poor mental health was a predictor of dropout (OR = 5.2, CI = 1.6-17.3), which was not seen females in higher education (OR = 1.2, CI = 0.5-3.1). Poor mental health was significantly associated to dropout among students in vocational and higher education. Males in higher education had five times the risk of dropout when reporting poor mental health, while no such association was found for females.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 284 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Unknown 283 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 53 19%
Student > Ph. D. Student 30 11%
Student > Bachelor 30 11%
Researcher 24 8%
Lecturer 14 5%
Other 40 14%
Unknown 93 33%
Readers by discipline Count As %
Psychology 50 18%
Social Sciences 35 12%
Medicine and Dentistry 31 11%
Nursing and Health Professions 17 6%
Engineering 8 3%
Other 37 13%
Unknown 106 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 87. 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 February 2024.
All research outputs
#487,550
of 25,345,468 outputs
Outputs from BMC Public Health
#451
of 16,998 outputs
Outputs of similar age
#9,282
of 329,129 outputs
Outputs of similar age from BMC Public Health
#11
of 343 outputs
Altmetric has tracked 25,345,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,998 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done particularly well, scoring higher than 97% 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 329,129 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 97% of its contemporaries.
We're also able to compare this research output to 343 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.