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Metabolic predictors of pain, fatigue, depression and quality of life in people with long‐term type 1 diabetes—the Dialong study.
- Source :
- Diabetic Medicine; Mar2023, Vol. 40 Issue 3, p1-12, 12p
- Publication Year :
- 2023
-
Abstract
- Aim: To examine associations of metabolic parameters (mean 30 years' time‐weighted HbA1c and low‐density lipoprotein‐cholesterol [LDL‐c], current methionine sulfoxide [MetSO], advanced glycation end products [AGEs], inflammatory markers and hypoglycaemia) with pain, fatigue, depression and quality of life (QoL) in people with long‐term type 1 diabetes. Methods: A total of 104 persons with type 1 diabetes ≥45 years duration were included. Participants completed questionnaires measuring bodily pain (RAND‐36 bodily pain domain with lower scores indicate higher levels of bodily pain), fatigue (Fatigue Questionnaire), depression (Patient Health Questionnaire), overall QoL (World Health Organization Quality of Life—BREF) and diabetes‐related QoL (Audit of Diabetes‐Dependent Quality of Life). In this observational study, mean time‐weighted HbA1c and LDL‐c were calculated based on longitudinal measures obtained from medical records of up to 34 years, while current HbA1c, LDL‐c and inflammatory markers were analysed in blood samples and collagen MetSO and AGEs in skin biopsies. History of hypoglycaemia was self reported. Associations between metabolic parameters and questionnaire scores were analysed using linear regression analyses and are reported as standardized regression coefficients (beta). Results: Of the metabolic variables, higher mean time‐weighted HbA1c was associated with higher levels of bodily pain and total fatigue (beta [p‐value]) −0.3 (<0.001) and 0.2 (0.001). Conclusions: Long‐term chronic hyperglycaemia may have a negative influence on pain and fatigue in people with type 1 diabetes. These results may assist health care workers in emphasizing the importance of strict glycaemic control in people with diabetes and identifying and treating type 1 diabetes‐related pain and fatigue. [ABSTRACT FROM AUTHOR]
- Subjects :
- MENTAL depression risk factors
BIOMARKERS
GLYCOSYLATED hemoglobin
COLLAGEN
PAIN
PAIN measurement
SCIENTIFIC observation
BIOPSY
INFLAMMATION
SELF-evaluation
TYPE 1 diabetes
LDL cholesterol
METHIONINE
ACQUISITION of data
REGRESSION analysis
ADVANCED glycation end-products
RISK assessment
QUALITY of life
HYPOGLYCEMIA
QUESTIONNAIRES
RESEARCH funding
MEDICAL records
FATIGUE (Physiology)
LONGITUDINAL method
DISEASE complications
METABOLISM
Subjects
Details
- Language :
- English
- ISSN :
- 07423071
- Volume :
- 40
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Diabetic Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 161788762
- Full Text :
- https://doi.org/10.1111/dme.15009