How to identify clinically significant diabetes distress using the Problem Areas in Diabetes (PAID) scale in adults with diabetes treated in primary or secondary care?:Evidence for new cut points based on latent class analyses
| العنوان: | How to identify clinically significant diabetes distress using the Problem Areas in Diabetes (PAID) scale in adults with diabetes treated in primary or secondary care?:Evidence for new cut points based on latent class analyses |
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| المؤلفون: | Maartje De Wit, Frank Snoek, Frans Pouwer |
| المساهمون: | Medical Psychology, Medical psychology, APH - Mental Health, Amsterdam Reproduction & Development (AR&D), APH - Health Behaviors & Chronic Diseases |
| المصدر: | de Wit, M, Pouwer, F & Snoek, F J 2022, ' How to identify clinically significant diabetes distress using the Problem Areas in Diabetes (PAID) scale in adults with diabetes treated in primary or secondary care? Evidence for new cut points based on latent class analyses ', BMJ Open, vol. 12, no. 3, e056304 . https://doi.org/10.1136/bmjopen-2021-056304Test de Wit, M, Pouwer, F & Snoek, F J 2022, ' How to identify clinically significant diabetes distress using the Problem Areas in Diabetes (PAID) scale in adults with diabetes treated in primary or secondary care? Evidence for new cut points based on latent class analyses ', BMJ Open, vol. 12, no. 3, e056304, pp. e056304 . https://doi.org/10.1136/bmjopen-2021-056304Test BMJ open, 12(3):e056304. BMJ Publishing Group BMJ Open, 12(3):e056304. BMJ Publishing Group |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Adult, Aged, 80 and over, Glycated Hemoglobin, Male, Adolescent, general diabetes, statistics & research methods, General Medicine, Middle Aged, Secondary Care, Young Adult, Diabetes Mellitus, Type 1, Latent Class Analysis, Hyperglycemia, Humans, Female, Stress, Psychological, mental health, Aged |
| الوصف: | IntroductionThe Problem Areas of Diabetes (PAID) questionnaire is a frequently used measure to assess diabetes-distress. The aim of this study was to identify clinically meaningful levels of diabetes-distress, using latent class analyses (LCA), and to determine which groups were at increased risk of elevated diabetes-distress in terms of sex, age, type of diabetes and glycaemic control.MethodsData were derived from four studies (total N=2966, 49% female, age range 18–95 years, 43% type 1 diabetes, diabetes duration range 0–79 years). LCAs were performed to examine possible latent groups in the distribution of answers on the individual PAID items. Demographic and diabetes-related characteristics were added to the model to estimate their effects on latent class membership and receiver operating curves curves to determine cut-offs.ResultsThree levels of diabetes distress were distinguished with defined cut-off scores and labelled as: low, moderate and high diabetes distress. Levels of distress did not associate with distinct clusters of items. Older people were more likely to be part of the low distress class; women and people with high HbA1c were more likely to be part of the high distress class. Sensitivity and specificity of the commonly used cut-off of 40 for high distress are 0.95 and 0.97, respectively. To distinguish the moderate distress group, cut-off scores of 17 and 39 are optimal with a sensitivity of 0.93 and a specificity of 0.94.ConclusionThree levels of diabetes-distress can be distinguished: low, moderate and high diabetes distress. Younger people, women and people with poor glycaemic control are at an increased risk for high levels of distress. A cut-off of 40 is satisfactory to detect people with high levels of diabetes-distress; a score of 0–16 indicates low diabetes distress and a score of 17–39 moderate diabetes distress. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2044-6055 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7d978b3bcc167f05f784ecc4298b6aaTest https://findresearcher.sdu.dk:8443/ws/files/201743872/e056304.full.pdfTest |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....c7d978b3bcc167f05f784ecc4298b6aa |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20446055 |
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