Impact of a Diabetes Toolkit on Weight Loss Among Veterans.

Leanne G Terry, Susan Appel, Charmin M Thomas, Michael M Mackay
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Abstract

This quality improvement project aimed to answer the following clinical question: Among U.S. male veterans (N = 30) living with type 2 diabetes (T2D) receiving services from a Veterans Affairs (VA) endocrinology clinic, how does a diabetes toolkit influence knowledge and glycaemic control? All the study participants were male and from 31 to 91 years of age. A pre- and post-intervention diabetes knowledge test, body mass index (BMI), lipids, blood pressure, and lifestyle data were obtained as predictor variables. A1c levels were measured at baseline and fructosamine levels at 8-12 weeks post-intervention and converted to A1c levels. A diabetes toolkit was presented as an educational intervention to participating veterans. The pre- and post-intervention knowledge test measured an increase (p = 0.001) in diabetes knowledge. The pre- and post-intervention BMI, lipids, and blood pressure assessments measured changes in such variables associated with toolkit exposure. The regression model was marginally significant (p = 0.055) and the predictor variables explained 18.8% of variance in change of A1c. A multiple regression was conducted to determine the extent to which the following post-intervention outcome variables impacted glycemic control. Of four predictors, only one was significant: a patient's change in weight predicted (p = 0.016) a decrease in A1c.

糖尿病工具包对退伍军人减肥的影响。
本质量改进项目旨在回答以下临床问题:在美国男性退伍军人(N = 30)患有2型糖尿病(T2D)接受退伍军人事务(VA)内分泌诊所服务,糖尿病工具包如何影响知识和血糖控制?所有的研究参与者都是男性,年龄在31到91岁之间。干预前后的糖尿病知识测试、身体质量指数(BMI)、血脂、血压和生活方式数据作为预测变量。在干预后8-12周测量基线A1c水平和果糖胺水平,并转换为A1c水平。糖尿病工具包作为一种教育干预被呈现给参与的退伍军人。干预前和干预后的知识测试测量了糖尿病知识的增加(p = 0.001)。干预前后的BMI、血脂和血压评估测量了与工具包暴露相关的这些变量的变化。回归模型具有边际显著性(p = 0.055),预测变量解释了18.8%的A1c变化方差。进行多元回归以确定以下干预后结局变量对血糖控制的影响程度。在四个预测因素中,只有一个是显著的:患者体重的变化预测了A1c的降低(p = 0.016)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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