Quality of Life in Diabetic Foot Ulcer: Associated Factors and the Impact of Anxiety/Depression and Adherence to Self-Care.
Maria PolikandriotiGeorgios VasilopoulosIoannis KoutelekosGeorgios PanoutsopoulosGeorgia GerogianniFotoula BabatsikouAfroditi ZartaloudiGeorgia TouliaPublished in: The international journal of lower extremity wounds (2020)
Diabetic foot ulcer (DFU) is a major complication of diabetes mellitus that needs a multidisciplinary approach. The purpose of this study was to assess the impact of patients' characteristics, anxiety/depression, and adherence to guidelines on the QoL of patients with diabetic ulcer. The sample of the study consisted of 195 patients. Data collected by the completion of SF-36 Health Survey, the Hospital Anxiety and Depression Scale, and a questionnaire that measured adherence to self-care activities. Patients had moderate- to high-quality levels in emotional well-being, pain, social functioning, and energy/fatigue (median: 68, 68, 63, and 60, respectively), while they had low levels of quality in physical functioning, role physical, and role emotional (median: 21, 0, and 33, respectively). In their general health, patients had moderate levels (median: 50). High levels of anxiety and depression were observed in 13.8% and 20.0% of the participants, respectively. After multiple regression, regarding general QoL, patients living in the capital city had 9.89 points worse general health than patients living in Attica (β = -9.89, 95% confidence interval [CI] = -16.86 to 2.93, P = .006). Patients with moderate or high levels of anxiety had 9.37 and 16.08 points, respectively, worse general health than those with low levels (β = -9.37, 95% CI = -17.04 to 1.70, P = .017, and β = -16.08, 95% CI = -26.65 to -5.51, P = .003, respectively). Clinically, these findings may help health professionals attain effective treatment of emotional burden to DFU patients and increase adherence to self-care.
Keyphrases
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- healthcare
- public health
- prognostic factors
- mental health
- type diabetes
- emergency department
- machine learning
- artificial intelligence
- risk assessment
- spinal cord
- patient reported outcomes
- metabolic syndrome
- big data
- insulin resistance
- spinal cord injury
- adipose tissue
- clinical practice
- neuropathic pain
- glycemic control
- quality improvement