老年脑卒中患者心理痛苦轨迹类别及预测因素研究
Study on the trajectory categories and predictors of psychological distress in elderly stroke patients
张新颖 1井坤娟 2王贝 3杜小静 2袁蓓 4白利静5
作者信息
- 1. 河北大学护理学院,河北 保定 071000;河北大学附属医院泌尿外科,河北 保定 071000
- 2. 河北大学护理学院,河北 保定 071000
- 3. 河北大学附属医院妇科,河北 保定 071000
- 4. 河北大学附属医院神经内科,河北 保定 071000
- 5. 河北大学医学部,河北 保定 071000
- 折叠
摘要
目的 探讨老年脑卒中患者心理痛苦发展轨迹及预测因素.方法 采用前瞻性纵向研究设计,选取 2023 年 6-7月保定市某三甲医院神经内科的 230 例老年脑卒中患者为研究对象,采用脑卒中患者心理痛苦温度计分别于入院当天,卒中后 2 周、6 周、8 周、12 周和 24 周评估患者的心理痛苦水平,应用增长混合模型确定心理痛苦发展轨迹,应用单因素分析和Logistic回归分析轨迹类别的影响因素.结果 共识别出 3 条心理痛苦轨迹,分别为持续心理痛苦组(23%)、心理痛苦不稳定组(21%)和无心理痛苦组(56%).Logistic回归分析显示,年龄、功能障碍、应对方式、心理弹性是老年脑卒中患者心理痛苦轨迹的主要预测因素.结论 老年脑卒中患者心理痛苦轨迹存在群体异质性,应针对患者的具体情况给予针对性的干预措施.
Abstract
Objective To explore the developmental trajectory and predictors of psychological distress in elderly stroke patients.Methods A prospective longitudinal study design was used to select 230 elderly stroke patients from the department of neurology of a tertiary A-level hospital in Baoding city from June to July 2023,and the level of psychological distress was assessed using a psychological distress thermometer in stroke patients on the day of admission at 2 weeks,6 weeks,8 weeks,12 weeks,and 24 weeks post-stroke respectively,applying a growth mixture model to identify the developmental trajectories of psychological distress,and applying univariate analyses and Logistic regressions to analyse the influences on the categories of trajectories.Results A total of three trajectories of psychological distress were identified,namely the"persistent psychological distress group"(23%),the"unstable psychological distress group"(21%),and the"no psychological distress group"(56%).Logistic regression analysis showed that age,functional impairment,coping style,and psychological re-silience were the main predictors of psychological distress trajectories in elderly stroke patients.Conclusion There is group heterogeneity in the trajectory of psychological distress in elderly stroke patients,and patient-spe-cific interventions should be given.
关键词
脑卒中/心理痛苦/轨迹/预测因素/增长混合模型Key words
stroke/psychological distress/trajectory/predictors/growth mixture model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据