The University of Texas at Austin School of Nursing, Austin, TX, United States of America; The University of Texas at Austin Dell Medical School, Austin, TX, United States of America.
The University of Texas at Austin School of Nursing, Austin, TX, United States of America.
Appl Nurs Res. 2019 Apr;46:37-42. doi: 10.1016/j.apnr.2019.02.002. Epub 2019 Feb 13.
Type 2 diabetes mellitus (T2DM), serious and increasingly prevalent among Mexican Americans, produces symptoms related to high and low glucose levels, medication side effects, and long-term complications. This secondary analysis explored symptom prevalence, differences among symptom burden levels, and how symptoms clustered.
Clinical measurements and survey data (demographic, quality of life, and the symptom subscale of the Diabetes Symptom Self-Management Inventory) collected from Mexican American adults with T2DM (n = 71) were analyzed for symptom prevalence, differences across levels of symptom burden, and symptom clusters. Agglomerative hierarchical and k-means clustering analyses were performed on a Gower matrix. Internal validation methods and rank aggregation were used to identify the best clustering method of the two techniques and to identify symptoms that clustered together.
Participants reported mean = 14 symptoms; tiredness and trouble sleeping were most prevalent. People with high symptom burden had significantly lower quality of life and perceptions of worse diabetes severity. Hierarchical clustering produced three symptom clusters: cluster 1 = 9 symptoms (e.g. intense thirstiness, dry mouth); cluster 2 = 9 symptoms (e.g., itching skin, weight gain, noise or light sensitivity); cluster 3 = 13 symptoms (e.g., nervous, headache, trouble concentrating, and memory loss).
Mexican Americans with T2DM report several co-occurring symptoms. Quality of life is significantly worse for people with high symptom burden. Three distinct symptom clusters were identified. Studies with larger samples are needed to further diabetes symptom science. Clinicians should assess and address patients' co-occurring symptoms as a potential means of decreasing symptom burden and improving quality of life.
2 型糖尿病(T2DM)在墨西哥裔美国人中严重且日益流行,会产生与高血糖和低血糖水平、药物副作用以及长期并发症相关的症状。本二次分析旨在探讨症状的流行程度、症状负担水平的差异,以及症状的聚类情况。
对 71 名患有 T2DM 的墨西哥裔美国成年人的临床测量和调查数据(人口统计学、生活质量以及糖尿病症状自我管理量表的症状子量表)进行分析,以评估症状的流行程度、症状负担水平的差异,以及症状聚类情况。使用凝聚层次聚类和 K 均值聚类分析对 Gower 矩阵进行分析。使用内部验证方法和等级聚合来确定两种技术中最佳的聚类方法,并识别聚类在一起的症状。
参与者报告的平均症状数为 14 个;疲劳和睡眠困难最为常见。高症状负担者的生活质量显著降低,对糖尿病严重程度的感知也更差。层次聚类产生了三个症状聚类:聚类 1 包含 9 个症状(如极度口渴、口干);聚类 2 包含 9 个症状(如皮肤瘙痒、体重增加、对声音或光线敏感);聚类 3 包含 13 个症状(如紧张、头痛、注意力不集中和记忆力减退)。
患有 T2DM 的墨西哥裔美国人报告了多种共病症状。高症状负担者的生活质量显著更差。确定了三个不同的症状聚类。需要更大样本量的研究来进一步推进糖尿病症状科学。临床医生应评估和处理患者的共病症状,这可能是减轻症状负担和改善生活质量的一种潜在手段。