老年2型糖尿病合并血脂异常患者运动干预方案的构建
Construction of exercise intervention program for elderly patients with type 2 diabetes mellitus complicated with dyslipidemia
孙鑫 1张春梅 2邢秋玲 3韩美佳 2曹龙军 4李虎虎 2陈腾 5祁辅梅5
作者信息
- 1. 天津市河西区中医医院综合内科,天津 300210;天津中医药大学,天津 301617
- 2. 天津中医药大学,天津 301617
- 3. 天津医科大学代谢病医院护理部,天津 300400
- 4. 天津体育学院运动健康学院,天津 301617
- 5. 天津市河西区中医医院综合内科,天津 300210
- 折叠
摘要
目的构建老年2型糖尿病(type 2 diabetes mellitus,T2DM)合并血脂异常患者运动干预方案.方法通过文献研究、半结构式访谈,拟定运动干预方案初稿;于2023年2-4月运用德尔菲法进行2轮专家函询,确定最终方案.结果18名专家2轮函询的积极系数均为100％,权威系数分别为0.878和0.856,2轮函询条目重要性和可行性的肯德尔和谐系数分别为0.139、0.158和0.133、0.194,且差异有统计学意义(P＜0.001).构建的运动干预方案包括5个一级指标、23个二级指标、57个三级指标.结论本研究构建的老年T2DM合并血脂异常患者运动干预方案具有一定的可靠性、科学性和实用性,可为老年T2DM合并血脂异常患者运动干预的临床实践提供参考.
Abstract
Objective To construct an exercise intervention program for elderly patients with type 2 diabetes mel-litus(T2DM)complicated with dyslipidemia.Methods Through literature research and semi-structured interviews,the first draft of the exercise intervention program was constructed,and form February to April 2023 the Delphi method was used to conduct 2 rounds of expert correspondence to determine the final plan.Results The positive coef-ficients of 2 rounds of the 18 experts was 100％,and the authority coefficients were 0.878 and 0.856,respectively.The Kendall harmony coefficients of the importance and feasibility of the items were 0.139,0.158,and 0.133,0.194,respectively,and the differences were statistically significant(P＜0.001).The exercise intervention program included 5 first-level items,23 second-level items,and 57 third-level items.Conclusion The exercise intervention program for elderly T2DM patients with dyslipidemia constructed in this study has certain reliability,scientificity,and practicality,and can provide reference for clinical practice of their exercise intervention.
关键词
2型糖尿病/血脂异常/运动干预/老年护理/德尔菲法Key words
type 2 diabetes mellitus/dyslipidemia/exercise intervention/elderly nursing/delphi method引用本文复制引用
基金项目
国家自然科学基金(81904146)
全国教育科学规划课题教育部青年项目(ELA190513)
天津市哲学社会科学规划项目(TJTY20-012)
天津市教委科研项目(2019KJ070)
出版年
2024
NETL
NSTL
万方数据