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. 2018 Apr;41(2):243-252.
doi: 10.1007/s10865-017-9892-5. Epub 2017 Oct 5.

Cancer-related loneliness mediates the relationships between social constraints and symptoms among cancer patients

Affiliations

Cancer-related loneliness mediates the relationships between social constraints and symptoms among cancer patients

Rebecca N Adams et al. J Behav Med. 2018 Apr.

Abstract

Cancer patients have high rates of persistent and disabling symptoms. Evidence suggests that social constraints (e.g., avoidance and criticism) negatively impact symptoms, but pathways linking these variables have yet to be identified. This study examined whether cancer-related loneliness (i.e., feeling socially disconnected related to having cancer) mediated the relationships between social constraints and symptoms (i.e., pain interference, fatigue, sleep disturbance, and cognitive complaints) in patients with various cancers (N = 182). Patients (51% female, mean age = 59) were recruited from the Indiana Cancer Registry and completed questionnaires assessing social constraints, cancer-related loneliness, and symptoms. Structural equation modeling was used to evaluate the hypothesized relationships among variables. The model demonstrated good fit. Consistent with our hypothesis, cancer-related loneliness mediated the relationships between social constraints and each symptom. Findings suggest that addressing cancer-related loneliness in symptom management interventions may mitigate the negative impact of social constraints on outcomes.

Keywords: Cancer; Loneliness; Neoplasm; Social constraints; Symptoms.

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Conflict of interest statement

Compliance with ethical standards

Conflict of interest Rebecca N. Adams, Catherine E. Mosher, Joseph G. Winger, Rafat Abonour, and Kurt Kroenke declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1. Relationships between Social Constraints, Cancer-related Loneliness, and Patient Symptoms
Note. All pathways and covariances are significant with p < 0.05. χ2 (4, N = 182) = 9.96, Bootstrap p = 0.229, RMSEA = 0.090 (90% CI: 0.017, 0.163), SRMR = 0.034, CFI = 0.990. The arrows above the boxes are disturbance terms, denoting the amount of unexplained variance. For example, 0.36 above cancer-related loneliness indicates that 36% of the variance in this variable is unexplained by the current model.

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