适应自然语言处理和情感分析方法,以对老年人进行干预:对健康和技术的积极看法
Curtis L Petersen1,2, Xingyi Li3, Courtney J Stevens4
1The Dartmouth Institute for Health Policy, Dartmouth College, Hanover, NH, USA.
概括
在行为变化研究中,参与者的感知很重要. 在老年人中,积极的情绪与减肥和改善身体健康结果相关,突出了情绪分析的价值.
科学领域:
- 老年学是指老年学的学科.
- 行为科学 行为科学
- 医疗信息学 医疗信息学
背景情况:
- 老年人经常加入行为改变研究,但他们的干预感知和有效性之间的联系的量化仍然不清楚.
- 了解参与者的感知对于优化老龄化人口的健康干预至关重要.
研究的目的:
- 评估参与者对干预措施的情绪及其对身体活动和健康感知的影响之间的关系.
- 探索定性反如何量化老年患者的干预疗效.
主要方法:
- 在28名肥胖的老年人 (BMI ≥30kg/m2) 中,使用词包方法对退出面试成绩单的情绪分析.
- 使用线性回归来分析情绪,减肥和PROMIS-10身体健康得分之间的关联.
主要成果:
- 在积极干预情绪和减肥之间发现了显著的关联 (在54%的参与者中≥5%).
- 在控制年龄和性别后,对技术的积极情绪与改善PROMIS-10身体健康得分和减少体育活动时间相关.
- 平均年龄为73岁,82%的参与者是女性.
结论:
- 情感分析和自然语言处理可以识别参与者感知与健康计划中的临床结果之间的联系.
- 纳入定性数据分析可以提高对老年人干预有效性的理解.
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