| Title |
Validity and reliability of the 19-item Audit of Diabetes-Dependent Quality of Life (ADDQoL-19) questionnaire in Chinese patients with type 2 diabetes mellitus in primary care
|
|---|---|
| Published in |
Quality of Life Research, March 2016
|
| DOI | 10.1007/s11136-016-1263-0 |
| Pubmed ID | |
| Authors |
Colman S. C. Fung, Eric Y. F. Wan, Charlotte L. Y. Yu, Carlos K. H. Wong |
| Abstract |
This study aimed to determine the psychometric properties of the 19-item Audit of Diabetes-Dependent Quality of Life (ADDQoL-19) in Chinese patients with type 2 diabetes mellitus (T2DM) in primary care setting. The ADDQoL-19 and SF-12v2 were administered to 386 Chinese patients with T2DM in public primary outpatient clinic in Hong Kong. Internal consistency reliability was determined by Cronbach's alpha, whereas construct validity was assessed by the Spearman's correlations between the scores of the ADDQoL-19 and SF-12v2. Independent t tests were used in known-group comparisons to identify the differences in the ADDQoL-19 scores between respondents with different duration of diabetes, treatment modalities, body mass index and glycemic control. The ADDQoL-19 had a moderate to weak correlation with SF-12v2 in convergent validity but with statistically significant results in known-group comparisons. Good internal consistency was generated with an acceptable value of 0.81, which was comparable to original English version. Construct validity was proven except the convergent validity is found to be weak with the generic SF-12v2, which was similar to the results in prior psychometric studies. Despite weak convergent validity, the ADDQoL-19 was found to have a satisfactory psychometric property, especially known-group comparisons and internal consistency reliability in the primary care setting. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 21 | 32% |
| Student > Master | 8 | 12% |
| Other | 5 | 8% |
| Researcher | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 11 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 21 | 32% |
| Medicine and Dentistry | 10 | 15% |
| Nursing and Health Professions | 7 | 11% |
| Agricultural and Biological Sciences | 4 | 6% |
| Psychology | 4 | 6% |
| Other | 5 | 8% |
| Unknown | 14 | 22% |
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 23 August 2016.
All research outputs
#14,254,293
of 22,856,968 outputs
Outputs from Quality of Life Research
#1,445
of 2,847 outputs
Outputs of similar age
#158,693
of 299,392 outputs
Outputs of similar age from Quality of Life Research
#21
of 60 outputs
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