Patterns of social support among older adults with cancer and associations with patient-reported outcomes: A latent class analysis

Abstract

IntroductionSocial support can play an important role in the care of older adults living with cancer. However, different patterns of social support, such as emotional, instrumental, informational, appraisal, and giving support need to be considered to facilitate adjustments to cancer. This study aimed to explore the distinct patterns of social support among older adults with cancer and examine the socio-demographic variables and patient-reported outcomes that may be associated with patterns of social support. Materials and MethodsData were used from 7,097 respondents from the Experience of Cancer Patients in Transition Study administered in 2016. Socio-demographic variables included sex, age, marital status, place of residence, and income, alongside patient-reported outcomes. Latent class analysis was used to identify distinct social support patterns. Multivariable multinomial regression models were then used to determine predictors of these latent classes. ResultsThree latent classes of social support were identified: “low,” “moderate,” and “high” emotional support. Having “high” emotional support did not necessarily mean patients had the highest levels of all social support attributes. For example, the “low” emotional support group exhibited the highest appraisal support (16 % of class members) and giving support (42 % of class members). While most socio-demographic variables were not significant predictors of the latent classes, statistically significant differences were found in emotional health. DiscussionAssessing social support requires consideration of the different patterns of support, as the presence of one attribute (e.g., appraisal or giving support) does not ensure the coverage of others (e.g., emotional support). Comprehensive assessments of these varied support patterns are recommended to better address the psychological and emotional challenges associated with a cancer diagnosis and to inform subsequent interventions.