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Updated: Oct 18, 2025

Simultaneous Assessment of Kinship, Division Number, and Phenotype via Flow Cytometry for Hematopoietic Stem and Progenitor Cells
Published on: March 24, 2023
Effect of family cohesion on symptom distress during hematopoietic stem cell transplantation
Yesol Yang1, Wei Pan2, Sherif S Farag3
1Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center-James, 406 W 10th Ave., Columbus, OH, 43210, USA.
Purpose:
Family may play an important role in hematopoietic stem cell transplantation (HSCT) recovery; however, little is known about the effect of family functioning on an individual's health. The purpose of this study was to examine the effect of family cohesion (family functioning) on the trajectory of HSCT recipients' symptom distress (symptom frequency and symptom bother) before, during, and after HSCT.
Methods:
Secondary analysis was conducted using data collected from178 individuals who underwent HSCT. Longitudinal parallel process (LPP) modeling was used to examine how family cohesion and HSCT-associated symptoms (symptom frequency and symptom bother) change over time, and how these longitudinal changes relate to each other.
Results:
The trajectory of family cohesion predicted the trajectories of HSCT-associated symptom frequency and bother. HSCT recipients who experienced higher family cohesion at baseline (T1) showed lower symptom frequency (p < .01) as well as symptom bother (p < .01) at T1. This trajectory analysis also showed that HSCT recipients who had improved family cohesion over time reported decrease in symptom frequency (p < .01) as well as bother (p < .01) over time.
Conclusion:
Findings indicate that higher family cohesion predicts decrease in symptom distress over the HSCT trajectory. Interventions aimed at enhancing family cohesion have the potential to lower HSCT recipients' symptom distress. Further research is needed to understand the critical role of family cohesion and family functioning and their relationship with HSCT symptom distress prevention, early detection, and risk stratification.
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