Examining Variation in Emotional Distress among Individuals with a Cancer Diagnosis

Abstract

This study examined whether emotional distress among U.S. adults diagnosed with cancer was influenced by death rates, survival rates, and new cases based on cancer type and individual-level variables (health efficacy, perceived health, and use of information and communication technologies and social media for health-related reasons). Health Information National Trends Survey 5 data from cycle 1 and cycle 2 were used to examine emotional distress among individuals who had experienced 1 of 17 different types of cancer diagnoses. A multilevel model and follow-up one-way ANOVA indicated a small statistically significant difference in emotional distress across cancer types. To investigate the influence of individual-level variables on emotional distress, a hierarchical regression analysis indicated that, after controlling for perceived health and health efficacy, using social media in a greater number of health-related ways significantly predicted greater emotional distress, while using information and communication technologies in a greater number of health-related ways did not.