Malhotra Rahul, Chei Choy-Lye, Menon Edward, Chow Wai Leng, Quah Stella, Chan Angelique, Matchar David Bruce
Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore; Centre for Ageing Research and Education, Duke-NUS Graduate Medical School, Singapore.
Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore.
J Stroke Cerebrovasc Dis. 2016 Jan;25(1):172-81. doi: 10.1016/j.jstrokecerebrovasdis.2015.09.012. Epub 2015 Oct 21.
We utilize group-based trajectory modeling (GBTM) to delineate depressive symptom trajectories among stroke survivor-caregiver dyads, to identify predictors of the delineated trajectories, and to assess the influence of time-varying covariates (stroke survivor depressive symptoms and functional disability, caregiver depressive symptoms, and foreign domestic worker [FDW] assistance) on the level of the depressive symptom trajectories.
Data on 172 stroke survivor-caregiver dyads in Singapore, for whom depressive symptoms were assessed thrice (baseline/3 months/6 months), were utilized. GBTM was applied to delineate depressive symptom trajectories, and to identify their predictors and time-varying covariates.
Three stroke survivor depressive symptom trajectories (low and decreasing [47.6%], low and increasing [43.1%], and high and increasing [9.3%]) and 2 caregiver depressive symptom trajectories (low and stable [71.5%] and high and decreasing [28.5%]) were delineated. Caregivers with chronic diseases were more likely (odds ratio [95% confidence interval]: 8.09[2.04-32.07]) and those caring for older stroke survivors (0.94[0.90-0.98]) were less likely to follow the high and decreasing than the low and stable depressive symptom trajectory. An increase in stroke survivor functional disability and caregiver depressive symptoms led to a rise (worsening) in stroke survivor depressive symptom trajectories. Whereas an increase in stroke survivor depressive symptoms led to a rise in caregiver depressive symptom trajectories, FDW assistance led to a decline (improvement).
Care professionals should be mindful of heterogeneity in depressive symptom patterns over time among stroke survivor-caregiver dyads. Reciprocal association of depressive symptoms in the stroke survivor-caregiver dyad suggests that addressing mood problems in 1 member may benefit the other member, and calls for dyadic mental health interventions.
我们运用基于群体的轨迹模型(GBTM)来描绘中风幸存者 - 照顾者二元组中的抑郁症状轨迹,识别所描绘轨迹的预测因素,并评估随时间变化的协变量(中风幸存者的抑郁症状和功能残疾、照顾者的抑郁症状以及外籍家庭佣工[FDW]的帮助)对抑郁症状轨迹水平的影响。
利用新加坡172个中风幸存者 - 照顾者二元组的数据,对其抑郁症状进行了三次评估(基线/3个月/6个月)。应用GBTM来描绘抑郁症状轨迹,并识别其预测因素和随时间变化的协变量。
描绘出了三种中风幸存者抑郁症状轨迹(低且下降[47.6%]、低且上升[43.1%]、高且上升[9.3%])和两种照顾者抑郁症状轨迹(低且稳定[71.5%]和高且下降[28.5%])。患有慢性病的照顾者更有可能(优势比[95%置信区间]:8.09[2.04 - 32.07]),而照顾年龄较大的中风幸存者的照顾者(0.94[0.90 - 0.98])比低且稳定的抑郁症状轨迹更不可能遵循高且下降的轨迹。中风幸存者功能残疾和照顾者抑郁症状的增加导致中风幸存者抑郁症状轨迹上升(恶化)。而中风幸存者抑郁症状的增加导致照顾者抑郁症状轨迹上升,外籍家庭佣工的帮助则导致下降(改善)。
护理专业人员应注意中风幸存者 - 照顾者二元组中抑郁症状模式随时间的异质性。中风幸存者 - 照顾者二元组中抑郁症状的相互关联表明,解决其中一名成员的情绪问题可能会使另一名成员受益,并需要进行二元心理健康干预。