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Eur J Oncol Nurs ; 19(5): 486-94, 2015 Oct.
Article in English | MEDLINE | ID: mdl-25782718

ABSTRACT

PURPOSE: The purpose of this study was to examine the effects of self-esteem and social support on quality of life (QoL) in stage I and II cervical cancer survivors. METHOD: The sample consisted of 110 participants who had been diagnosed with stage I-II cervical cancer and had completed their treatment 5 years or more before data collection. Each participant completed four structured questionnaires: a demographic-disease survey, the Rosenberg Self-Esteem Scale, Medical Outcomes Study Social Support Survey, and European Organization for Research and Treatment of Cancer Quality of Life Questionnaire 30. Data were analyzed using descriptive statistics, independent sample t-test, one-way ANOVA, and hierarchical multiple linear regression analyses. RESULTS: The participants' mean age was 60.74 ± 10.69 years. Better QoL was significantly associated with younger age, higher self-esteem, and stronger social support; in addition, social support buffered the effect of self-esteem on global QoL. Together, five variables (age, time since treatment, self-esteem, social support, and the interaction term of self-esteem and social support) explained 36% of the variance in global QoL, with self-esteem being the strongest predictor. CONCLUSIONS: The results of this study advance current knowledge of QoL in cervical cancer survivors by demonstrating that survivors with low self-esteem and social support tend to have lower QoL than those with low self-esteem but high social support. Health professionals should help survivors seek support and provide appropriate strategies to expand their social networks and enhance their self-esteem to improve their global QoL after cervical cancer.


Subject(s)
Quality of Life , Self Concept , Social Support , Uterine Cervical Neoplasms/pathology , Uterine Cervical Neoplasms/psychology , Uterine Cervical Neoplasms/therapy , Adaptation, Psychological , Aged , Analysis of Variance , Cross-Sectional Studies , Early Detection of Cancer , Female , Humans , Linear Models , Middle Aged , Neoplasm Invasiveness/pathology , Neoplasm Staging , Risk Assessment , Sickness Impact Profile , Surveys and Questionnaires , Survivors/statistics & numerical data , Taiwan
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