| Title |
Association of individual and area-level socioeconomic conditions with quality of life and glycaemic control in 11- to 21-year-old adolescents with early-onset type 1 diabetes: a cross-sectional study
|
|---|---|
| Published in |
Quality of Life Research, August 2018
|
| DOI | 10.1007/s11136-018-1949-6 |
| Pubmed ID | |
| Authors |
Christina Bächle, Anna Peneva, Werner Maier, Katty Castillo, Anna Stahl-Pehe, Oliver Kuß, Rolf Holle, Julia M. Hermann, Reinhard W. Holl, Joachim Rosenbauer |
| Abstract |
To analyse the association of area-level deprivation (German Index of Multiple Deprivation, GIMD 2010) with health- and disease-related quality of life (QoL) and glycaemic control (HbA1c) jointly with individual-level socioeconomic status (SES) in young patients with preschool-onset type 1 diabetes. A total of 425 male and 414 female patients aged 11-21 years from a Germany-wide population-based survey completed the generic KINDL-R, the DISABKIDS chronic-generic module (DCGM-12), and the DISABKIDS diabetes-specific module with impact and treatment scales (QoL indicators; range 0-100 with higher scores representing better QoL). To analyse the association of area-level deprivation and SES with QoL and HbA1c, multiple linear regression models were applied adjusting for sociodemographic and health-related variables. Mean QoL scores (SD) were 73.2 (12.2) for the KINDL-R, 76.1 (16.1) for the DCGM-12, 66.2 (19.9) for diabetes impact, and 56.4 (27.3) for diabetes treatment (DISABKIDS). Mean HbA1c was 8.3 (1.4)%. While both QoL outcomes and HbA1c level improved with increasing individual SES, no association was observed between area-level deprivation (GIMD 2010) and either outcome. Compared with individual SES, area-level deprivation seems to be of minor importance for QoL and glycaemic control in young people with early-onset type 1 diabetes. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 23% |
| Student > Doctoral Student | 5 | 11% |
| Lecturer | 3 | 7% |
| Researcher | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 17 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 13 | 30% |
| Medicine and Dentistry | 7 | 16% |
| Psychology | 2 | 5% |
| Social Sciences | 2 | 5% |
| Immunology and Microbiology | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 17 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 August 2018.
All research outputs
#14,887,436
of 23,099,576 outputs
Outputs from Quality of Life Research
#1,659
of 2,923 outputs
Outputs of similar age
#196,702
of 331,523 outputs
Outputs of similar age from Quality of Life Research
#39
of 82 outputs
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We're also able to compare this research output to 82 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 52% of its contemporaries.