| Title |
Health-related quality of life in a sample of Australian adolescents: gender and age comparison
|
|---|---|
| Published in |
Quality of Life Research, June 2015
|
| DOI | 10.1007/s11136-015-1033-4 |
| Pubmed ID | |
| Authors |
Tanya Meade, Elizabeth Dowswell |
| Abstract |
The primary purpose of this study was to profile the health-related quality of life (HRQoL) in a sample of secondary school-aged children in Australia. The secondary purpose was to contribute to the international literature on the HRQoL of adolescents using the KIDSCREEN instrument. The KIDSCREEN-27 Questionnaire was completed by 1111 adolescents aged between 11 and 17 from six Australian secondary schools. MANCOVA analysis was employed to examine age and gender differences. Over 70 % of participants reported high levels of HRQoL across all five dimensions. Age patterns were identified with younger adolescents reporting greater HRQoL than older adolescents. Similarly, gender differences were noted with male adolescents reporting higher scores than female adolescents on three out of five dimensions of HRQoL. This is the first study to measure HRQoL in Australian adolescents using the KIDSCREEN instrument. Consistent with previous research, gender and age differences were found across most dimensions of HRQoL. These results highlight the importance of comprehensively measuring the HRQoL in adolescents to capture developmental shifts and to inform preventative and supportive programs as needed. |
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 % |
|---|---|---|
| Unknown | 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 17% |
| Student > Ph. D. Student | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 5 | 8% |
| Student > Doctoral Student | 4 | 7% |
| Other | 13 | 22% |
| Unknown | 16 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 23% |
| Nursing and Health Professions | 7 | 12% |
| Medicine and Dentistry | 5 | 8% |
| Agricultural and Biological Sciences | 3 | 5% |
| Social Sciences | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 22 | 37% |
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 11 June 2015.
All research outputs
#18,414,796
of 22,811,321 outputs
Outputs from Quality of Life Research
#1,998
of 2,846 outputs
Outputs of similar age
#192,484
of 266,811 outputs
Outputs of similar age from Quality of Life Research
#43
of 68 outputs
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