Ruey-Hsia Wang1,2, Kuan-Chia Lin3,4, Hui-Chun Hsu5, Yau-Jiunn Lee5, Shyi-Jang Shin6. 1. College of Nursing, Kaohsiung Medical University, 100, Shih-Chuan 1st Road, Kaohsiung City, 807, Taiwan, ROC. wrhsia@kmu.edu.tw. 2. Department of Medical Research, Kaohsiung Medical University Hospital, 100, Shih-Chuan 1st Road, Kaohsiung City, 807, Taiwan, ROC. wrhsia@kmu.edu.tw. 3. Institute of Hospital and Health Care Administration, National Yang-Ming University, 155, Sec. 2, Linong st., Beitou District, Taipei City, 11221, Taiwan, ROC. 4. Preventive Medicine Research Center, National Yang-Ming University, 155, Sec. 2, Linong st., Beitou District, Taipei City, 11221, Taiwan, ROC. 5. Lee's Endocrinology Clinic, 396, Guangdong Rd., Pingtung City, 900, Pingtung County, Taiwan, ROC. 6. Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, 100, Shih-Chuan 1st Road, Kaohsiung City, 807, Taiwan, ROC.
Abstract
PURPOSE: The purpose of the study was to identify quality of life (QoL) trajectory patterns and the determinants in patients with Type 2 diabetes (T2DM). METHODS: A longitudinal design was employed. Totally, 466 patients with T2DM recruited from five diabetic clinics in Taiwan were participants of this study. Demographic and disease characteristics, biomedical factors (HbA1c levels and body mass index), psychosocial factors (self-care behaviors, social support, resilience, diabetes distress), and QoL were collected at baseline. QoL was further measured every 6 months for four waves after baseline. Latent class growth analysis was used to identify QoL trajectory patterns. The multinomial logistic regression was further applied to explore the important determinants of different QoL trajectory patterns. RESULTS: The "steadily poor" (n = 27, 5.8%), "consistently moderate" (n = 174, 37.3%), and "consistently good" (n = 265, 56.9%) trajectory patterns were identified. The HbA1c levels (OR 2.16) and diabetes distress (OR 1.18) were important for determining participants in the "steadily poor" QoL trajectory pattern. HbA1c levels (OR 1.25) and diabetes distress (OR 1.14) were important for determining participants in the "consistently moderate" QoL trajectory pattern. CONCLUSIONS: To prevent development of relatively worse QoL trajectory patterns in patients with T2DM in a timelier manner, healthcare providers could regularly assess the QoL and provide intervention, especially for those with high HbA1c levels and high diabetes distress. Meanwhile, early intervention for decreasing HbA1c levels and diabetes distress may improve the trajectory development of QoL in patients with T2DM.
PURPOSE: The purpose of the study was to identify quality of life (QoL) trajectory patterns and the determinants in patients with Type 2 diabetes (T2DM). METHODS: A longitudinal design was employed. Totally, 466 patients with T2DM recruited from five diabetic clinics in Taiwan were participants of this study. Demographic and disease characteristics, biomedical factors (HbA1c levels and body mass index), psychosocial factors (self-care behaviors, social support, resilience, diabetes distress), and QoL were collected at baseline. QoL was further measured every 6 months for four waves after baseline. Latent class growth analysis was used to identify QoL trajectory patterns. The multinomial logistic regression was further applied to explore the important determinants of different QoL trajectory patterns. RESULTS: The "steadily poor" (n = 27, 5.8%), "consistently moderate" (n = 174, 37.3%), and "consistently good" (n = 265, 56.9%) trajectory patterns were identified. The HbA1c levels (OR 2.16) and diabetes distress (OR 1.18) were important for determining participants in the "steadily poor" QoL trajectory pattern. HbA1c levels (OR 1.25) and diabetes distress (OR 1.14) were important for determining participants in the "consistently moderate" QoL trajectory pattern. CONCLUSIONS: To prevent development of relatively worse QoL trajectory patterns in patients with T2DM in a timelier manner, healthcare providers could regularly assess the QoL and provide intervention, especially for those with high HbA1c levels and high diabetes distress. Meanwhile, early intervention for decreasing HbA1c levels and diabetes distress may improve the trajectory development of QoL in patients with T2DM.
Entities:
Keywords:
Diabetes distress; Glycemic control; Quality of life; Self-care behaviors; Trajectory pattern; Type 2 diabetes
Authors: Jun Jie Benjamin Seng; Amelia Yuting Monteiro; Yu Heng Kwan; Sueziani Binte Zainudin; Chuen Seng Tan; Julian Thumboo; Lian Leng Low Journal: BMC Med Res Methodol Date: 2021-03-11 Impact factor: 4.615