Chen Fang, Fan Li, Li Xia, Xie Yuting, Li Juan, Weng Huiting, Xu Rong, Liu Fang
Central South University Xiangya School of Nursing, Changsha, Hunan, 410013, China.
Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
Qual Life Res. 2025 Jul 16. doi: 10.1007/s11136-025-04025-7.
Children and adolescents with type 1 diabetes (T1D) experience persistent impacts on quality of life (QoL). While most previous studies have relied on cross-sectional designs, this prospective cohort study intended to: (1) assess longitudinal changes in patient-reported QoL over a three-year period; (2) identify distinct QoL trajectory subgroups; and (3) examine demographic, physiological, psychological, and clinical determinants associated with trajectory membership and multidimensional QoL outcomes.
Two hundred children and adolescents with T1D from China were followed for three years in a longitudinal cohort study. QoL was measured using the Quality of Life Scale for Children and Adolescents (QLSCA) at baseline from June 2019 to May 2020, with follow-up visits at years 1, 2, and 3 thereafter. Trajectories of QoL and associations with determinants were identified via iterative estimations of group-based trajectory models and multivariable multinomial logistic regression, respectively. The specific impacts of the determinants on QoL were revealed using multiple linear regressions. Changes in QoL dimensions over time were examined using linear mixed models, while changes in determinants were analyzed using both linear mixed models and generalized estimating equations.
Four QoL trajectory groups were identified (N = 200): poor (19.5%), moderate (27.5%), improving (17.5%), and good (35.5%) QoL. Improved QoL was associated with higher paternal education, greater height, lower glycosylated hemoglobin (HbA1c), fewer hypoglycemic episodes, and reduced depression levels. Furthermore, the frequency of self-monitoring of blood glucose (SMBG), Self-Management of Type 1 Diabetes for Adolescents (SMOD-A) scores, and higher parental education were positively correlated with improvements in various QoL dimensions. In contrast, higher State-Trait Anxiety Inventory-Trait (STAI-T) and Children's Depression Inventory (CDI) scores were negatively correlated with relationship between teacher and pupil, negative emotions, and other QoL aspects. Throughout the study, a significant increase in the use of continuous glucose monitoring (CGM) and insulin pumps was observed, along with improvements in SMBG and self-management ability. Notably, a reduction in the monthly frequency of hypoglycemic episodes and anxiety levels was also observed. Statistically significant improvements were found across several QoL dimensions, including companionship, self-esteem, physical feeling, activity opportunity, and physical activity ability, with the most pronounced improvement seen in physical activity ability.
This study identified the dynamic trajectories of QoL changes in a cohort of children and adolescents with T1D and screened potential determinants that enhance QoL. These insights are valuable for developing tailored, individualized diabetes management strategies aimed at improving long-term outcomes for T1D patients.
1型糖尿病(T1D)患儿和青少年的生活质量(QoL)受到持续影响。虽然此前大多数研究采用横断面设计,但这项前瞻性队列研究旨在:(1)评估三年期间患者报告的生活质量的纵向变化;(2)识别不同的生活质量轨迹亚组;(3)检查与轨迹归属和多维生活质量结果相关的人口统计学、生理学、心理学和临床决定因素。
在一项纵向队列研究中,对来自中国的200名T1D患儿和青少年进行了三年的随访。在2019年6月至2020年5月的基线期,使用儿童青少年生活质量量表(QLSCA)测量生活质量,此后在第1、2和3年进行随访。分别通过基于组的轨迹模型的迭代估计和多变量多项逻辑回归确定生活质量轨迹及其与决定因素的关联。使用多元线性回归揭示决定因素对生活质量的具体影响。使用线性混合模型检查生活质量维度随时间的变化,同时使用线性混合模型和广义估计方程分析决定因素的变化。
确定了四个生活质量轨迹组(N = 200):生活质量差(19.5%)、中等(27.5%)、改善(17.5%)和好(35.5%)。生活质量改善与父亲受教育程度较高、身高较高、糖化血红蛋白(HbA1c)较低、低血糖发作次数较少以及抑郁水平降低有关。此外,血糖自我监测(SMBG)的频率、青少年1型糖尿病自我管理(SMOD-A)得分以及较高的父母教育程度与各生活质量维度的改善呈正相关。相比之下,较高的状态-特质焦虑量表-特质(STAI-T)和儿童抑郁量表(CDI)得分与师生关系、负面情绪和其他生活质量方面呈负相关。在整个研究过程中,观察到持续葡萄糖监测(CGM)和胰岛素泵的使用显著增加,同时SMBG和自我管理能力有所改善。值得注意的是,低血糖发作的月频率和焦虑水平也有所降低。在几个生活质量维度上发现了具有统计学意义的改善,包括陪伴、自尊、身体感觉、活动机会和身体活动能力,其中身体活动能力的改善最为明显。
本研究确定了一组T1D患儿和青少年生活质量变化的动态轨迹,并筛选出了提高生活质量的潜在决定因素。这些见解对于制定旨在改善T1D患者长期预后的量身定制的个性化糖尿病管理策略具有重要价值。