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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epidemiological study of child and adolescent psychiatric disorders in Lithuania
|
|---|---|
| Published in |
BMC Public Health, April 2018
|
| DOI | 10.1186/s12889-018-5436-3 |
| Pubmed ID | |
| Authors |
Sigita Lesinskiene, Sigita Girdzijauskiene, Grazina Gintiliene, Dovile Butkiene, Dainius Puras, Robert Goodman, Einar Heiervang |
| Abstract |
From the public health perspective, epidemiological data of child mental health and psychosocial correlates were necessary and very lacking in Lithuanian society that has been undergoing rapid socio-economic change since the past decades. Together with determining the prevalence rates of disorders and assessing the needs for the services, this study has also shifted attention from the highly selective samples of children attending children and adolescent mental health services towards less severe cases of psychopathology as well as different attitudes of parents and teachers. The aim of the first epidemiological study in Lithuania was to identify the prevalence of psychiatric disorders in the community sample of children. Child psychiatric disorders were investigated in a representative sample of 3309 children aged 7-16 years (1162 7-10-year-olds and 2147 11-16-year-olds), using a two-phase design with the Lithuanian version of the Strengths and Difficulties Questionnaire (SDQ) in the first screening phase, and the Development and Well-Being Assessment (DAWBA) in the second diagnostic phase. The estimated point prevalence of ICD-10 psychiatric disorders was 13.1% for the total sample (14.0% for the child sample and 12.1% for adolescent sample). The most common groups of disorders were Conduct disorders 6.6% (7.1% for child sample and 6.0% for adolescent sample), Anxiety disorders 5.0% (5.9% for child sample and 6.0% for adolescent sample), with Hyperkinesis being less common 2.0% (2.7% for child sample and 1.2% for adolescent sample). Potential risk factors were related to individual characteristics of the child (gender, poor general health, and stressful life experiences), and the family (single parenthood, foster care, unfavourable family climate, disciplining difficulties, worries related to TV or computer use). The overall prevalence of youth psychiatric disorders was relatively high in this representative Lithuanian sample compared to Western European countries. The SDQ and DAWBA measures appear useful for the further research and clinical practice in this society. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 123 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 14% |
| Student > Bachelor | 11 | 9% |
| Researcher | 9 | 7% |
| Student > Postgraduate | 9 | 7% |
| Student > Ph. D. Student | 9 | 7% |
| Other | 22 | 18% |
| Unknown | 46 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 20% |
| Medicine and Dentistry | 15 | 12% |
| Nursing and Health Professions | 10 | 8% |
| Social Sciences | 7 | 6% |
| Sports and Recreations | 3 | 2% |
| Other | 10 | 8% |
| Unknown | 53 | 43% |
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 14 June 2018.
All research outputs
#18,610,562
of 23,053,169 outputs
Outputs from BMC Public Health
#12,986
of 15,022 outputs
Outputs of similar age
#253,291
of 326,480 outputs
Outputs of similar age from BMC Public Health
#282
of 307 outputs
Altmetric has tracked 23,053,169 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,022 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 6th percentile – i.e., 6% 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 326,480 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 307 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.