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.