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Quality of Life Predictors and Glycemic Control among Type 2 | 46571

プライマリヘルスケア: オープンアクセス

ISSN - 2167-1079

概要

Quality of Life Predictors and Glycemic Control among Type 2 Diabetic Patients Attending Primary Health Care Centers in Qatar

Mohamed Salem Nasralla Saleh, Zeliakha Alwahedi, Muna Taher, Amal Alali, Ahmed Mostafa Mohamed Hashim and Hisham Elmahdy

Introduction: Diabetes is one of the most worldwide prevalent chronic diseases that impact the quality of life. The aim of treatment in diabetes must go beyond glycemic control to include quality of life. The aim of this study is to assess quality of life and glycemic control among diabetic patients attending Primary Health Care Centers in Qatar. Methods: Descriptive cross sectional study was conducted to assess quality of life in 281 adult patients with type 2 diabetes attending non-communicable disease clinics in Primary Health Care Centers in Qatar. patients completed SF- 36 checklist and information about socio demographic data and disease characters which include some measurements from patient files (BMI,HBA1C,LDL). Data analysis was applied to identify the significant predictors of quality of life with significant limit of P<0.05. Results: Total sample include 281 patients adult diabetics of whom mean age 53 ± 10.4, 62.1% were males while 37.9% were females, 28.6% were Qatari patients, diabetics with duration more than 10 years represent 37.2%, the average quality of life score is 64.4 ± 24.6, increasing age is significantly associated with less quality of life scores, males were having significantly higher scores than females. Single patients, higher education, type of medications (tablets), controlled LDL and employed were having significant high scores in different quality of life domains. Prolonged duration of diabetes and complications is significantly associated with less quality of life scores, while obesity and HBA1c were not significantly associated with quality of life domains. Conclusion: Complications, insulin users and women appear to be the most incremental correlate for poor quality of life so special consideration before shifting to insulin and future research on gender specific attributes to improve quality of care to this vulnerable group.