Moderators of interdependent psychological distress in cancer survivor-caregiver dyads

Psychological distress is transmitted within dyads during cancer treatment. Dyadic interdependence was most pronounced from caregivers to survivors. Symptom burden, social isolation, and low social support enhanced this dyadic interdependence.

Authors

Institutions

Publication Details

Journal
Journal of Psychosocial Oncology
Published
2025-01-09
DOI
https://doi.org/10.1080/07347332.2025.2450012
Citations
1
Primary Topic
Family Support in Illness
Type
article
Field-Weighted Citation Impact
4.20

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Moderators of interdependent psychological distress in cancer survivor-caregiver dyads

Terry A. Badger, Nathan Cunicelli, Alla E Sikorskii, Chris Segrin
1 citations
Journal of Psychosocial Oncology
Family Support in Illness
4.20
article

Moderators of interdependent psychological distress in cancer survivor-caregiver dyads

Terry A. Badger, Nathan Cunicelli, Alla E Sikorskii, Chris Segrin
article en
1 citations

Abstract

Psychological distress is transmitted within dyads during cancer treatment. Dyadic interdependence was most pronounced from caregivers to survivors. Symptom burden, social isolation, and low social support enhanced this dyadic interdependence.

Journal of Psychosocial OncologyVol. 43(4)
University of Arizona (US), Michigan State University (US)
University of Arizona Cancer Center, University of Arizona, National Institutes of Health
Gender equality
Openalex Percentile: Top 10%
Family Support in Illness
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.