MRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, UK.
Department of Preventive Medicine and Community Health.
J Gerontol A Biol Sci Med Sci. 2019 Oct 4;74(11):1828-1834. doi: 10.1093/gerona/glz089.
This study assessed whether baseline (i) HbA1c (low [<5.7%], intermediate [5.7%-6.4%], and high [≥6.5%]) and (ii) glycemic control (7% HbA1c cutoff) in participants with self-reported diabetes were associated with differential 8-year functional disability trajectories.
We used data from the 2006-2014 waves of the Health and Retirement Study for adults aged 50 years and older. Latent class mixture modeling was used to identify distinct functional disability trajectory classes. Multinomial logistic regression analysis examined the association between the newly constructed trajectories and baseline HbA1c levels, and glycemic control, respectively.
All participants (N = 5,966) were classified into four functional disability trajectory classes (no disability, low disability, low-increasing, and high-increasing). Participants with elevated HbA1c were at greater risk of being classified into the high-increasing (relative risk ratios = 1.63, 95% confidence interval [CI] = 1.25-2.11) trajectory class. Results showed significant effect modification by age and race. Three functional disability trajectories (no disability, low-increasing, and high-increasing) were identified for participants with self-reported diabetes (n = 1,119). There was no significant association between glycemic control in adults with self-reported diabetes and functional disability trajectory classes.
Participants with intermediate HbA1c and elevated HbA1c were more likely to be classified into the trajectories with progressing disability over the study period. More research is needed to better understand the association between glycemic markers and functional disability trajectories. Such research may provide insights into improvements for clinical care, self-management, and public health interventions for both conditions.
本研究评估了参与者自我报告的糖尿病患者的基线(i)HbA1c(低[<5.7%]、中[5.7%-6.4%]和高[≥6.5%])和(ii)血糖控制(7%HbA1c 切点)与 8 年不同功能障碍轨迹的相关性。
我们使用了 2006-2014 年健康与退休研究的成年人数据,年龄在 50 岁及以上。潜在类别混合建模用于识别不同的功能障碍轨迹类别。多变量逻辑回归分析分别检查了新构建的轨迹与基线 HbA1c 水平和血糖控制之间的关联。
所有参与者(N=5966)被分为四个功能障碍轨迹类别(无障碍、低障碍、低递增和高递增)。HbA1c 升高的参与者更有可能被归类为高递增(相对风险比=1.63,95%置信区间[CI]=1.25-2.11)轨迹类别。结果显示年龄和种族存在显著的交互作用。对于自我报告的糖尿病患者(n=1119),确定了三个功能障碍轨迹(无障碍、低递增和高递增)。自我报告的糖尿病患者的血糖控制与功能障碍轨迹类别之间没有显著关联。
HbA1c 处于中间范围和升高的参与者更有可能被归类为在研究期间残疾程度逐渐加重的轨迹类别。需要更多的研究来更好地理解血糖标志物与功能障碍轨迹之间的关联。这种研究可能为改善临床护理、自我管理和两种疾病的公共卫生干预措施提供思路。