E Mattsson1, B El-Khouri, G Ljungman, L von Essen. 1. Department of Public Health and Caring Sciences, Psychosocial Oncology and Supportive Care, Uppsala University, Uppsala, Sweden. elisabet.mattsson@pubcare.uu.se
Abstract
BACKGROUND: To, during the acute and extended phase of survival, identify psychosocial states among adolescents diagnosed with cancer and to analyse these in relation to demographic and clinical characteristics and self-reported depression. PATIENTS AND METHODS: Participants completed the Hospital Anxiety and Depression Scale and two subscales, Vitality and Mental Health, in the SF-36 4-8 weeks (T1) (n = 61), 6 (T2) (n = 57), 12 (T3) (n = 50), and 18 (T4) months (n = 48) after diagnosis. I-State as Object of Analysis was used to identify a finite set of states based on three dimensions. Cluster analysis was carried out using Ward's method. RESULTS: Five states were obtained: psychosocial dysfunction (state A) and poor (B), incomplete (C), good (D), and excellent (E) psychosocial function. At T1, more adolescents than expected by chance were in states A (P < 0.05) and C (P < 0.01) and fewer in states D (P < 0.05) and E (P < 0.001). At T4, more adolescents than expected by chance were in state E (P < 0.001) and fewer in state C (P < 0.05). Female gender and being in late adolescence when diagnosed is related to worse psychosocial function. CONCLUSION: The findings provide support for subgroups of adolescents whose level of vitality, mental health, and anxiety differ during the acute and extended phase of survival of cancer. Clinical interventions tailored to the level of impairment as determined by the clusters may result in better psychosocial outcomes.
BACKGROUND: To, during the acute and extended phase of survival, identify psychosocial states among adolescents diagnosed with cancer and to analyse these in relation to demographic and clinical characteristics and self-reported depression. PATIENTS AND METHODS: Participants completed the Hospital Anxiety and Depression Scale and two subscales, Vitality and Mental Health, in the SF-36 4-8 weeks (T1) (n = 61), 6 (T2) (n = 57), 12 (T3) (n = 50), and 18 (T4) months (n = 48) after diagnosis. I-State as Object of Analysis was used to identify a finite set of states based on three dimensions. Cluster analysis was carried out using Ward's method. RESULTS: Five states were obtained: psychosocial dysfunction (state A) and poor (B), incomplete (C), good (D), and excellent (E) psychosocial function. At T1, more adolescents than expected by chance were in states A (P < 0.05) and C (P < 0.01) and fewer in states D (P < 0.05) and E (P < 0.001). At T4, more adolescents than expected by chance were in state E (P < 0.001) and fewer in state C (P < 0.05). Female gender and being in late adolescence when diagnosed is related to worse psychosocial function. CONCLUSION: The findings provide support for subgroups of adolescents whose level of vitality, mental health, and anxiety differ during the acute and extended phase of survival of cancer. Clinical interventions tailored to the level of impairment as determined by the clusters may result in better psychosocial outcomes.
Authors: Gunn Engvall; Inger Skolin; Elisabet Mattsson; Mariann Hedström; Louise von Essen Journal: Support Care Cancer Date: 2010-03-27 Impact factor: 3.603
Authors: Samantha C Sodergren; Olga Husson; Jessica Robinson; Gudrun E Rohde; Iwona M Tomaszewska; Bella Vivat; Rebecca Dyar; Anne-Sophie Darlington Journal: Qual Life Res Date: 2017-03-01 Impact factor: 4.147
Authors: Gomolemo Mahakwe; Ensa Johnson; Katarina Karlsson; Stefan Nilsson Journal: Int J Environ Res Public Health Date: 2021-02-16 Impact factor: 3.390