The longitudinal association between resilience and sleep quality in breast cancer

Abstract

Purpose: To estimate the longitudinal association between resilience and sleep quality in patients with newly diagnosed breast cancer within the first 6 months.

Method: Between July 2023 and September 2023, 155 newly diagnosed BC patients were recruited to participate in the Be Resilience to Breast Cancer program (Abbreviated as BRBC). They completed the 10-item Connor-Davidson Resilience scale and Pittsburgh Sleep Quality Index Scale. The following three timepoints were set to collect the data, including 1 month after initial diagnosis (T0), 3 months (T1), and 6 months (T2). Data were analyzed using Cross-lagged Panel Model (CLPM), and Parallel Latent Growth Model (PLGM).

Results: Excluded questionnaires with a large number of missing items and finally 125 patients were included, with the response rate of 83.3%. CLPM indicated that resilience at T1 predicted PSQI at T2 (r = -0.168, P < 0.001), and PSQI at T1 predicted resilience at T2 (r = -0.112, P< 0.001). PLGM demonstrated that changes in resilience was significantly associated with changes in PSQI (r = -0.874, P< 0.001).

Conclusion: A longitudinal association between resilience and sleep quality was confirmed in patients with newly diagnosed breast cancer. Resilience was a protective factor in the development of sleep quality.

Keywords: Breast cancer patients; Cross-lagged panel model; Parallel latent growth model; Resilience; Sleep quality.