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The longitudinal association between resilience and sleep quality in breast cancer. | LitMetric

AI Article Synopsis

  • - The study aimed to evaluate how resilience affects sleep quality over the first six months in patients recently diagnosed with breast cancer, using data collected from 155 participants through well-established scales.
  • - Researchers analyzed data from three timepoints (1, 3, and 6 months after diagnosis) and concluded that resilience positively influences sleep quality, with significant predictive relationships observed between the two variables.
  • - Findings confirmed that higher resilience levels are linked to better sleep quality, suggesting that promoting resilience could be beneficial for breast cancer patients' overall well-being.

Article 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.

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Source
http://dx.doi.org/10.1016/j.ejon.2024.102734DOI Listing

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