METHODS: A cross-sectional study was conducted among 222 patients with RA at a private hospital in Malaysia. Utilizing validated scales, including the Connor-Davidson Resilience Scale, Short Grit Scale, Nature Relatedness Scale, and Arthritis Self Efficacy Scale, data were collected. Pearson Product-moment Correlation analyses assessed the relationships between variables, and a multiple mediation analysis explored the mediating effects of resilience, grit, and self-efficacy on the relationship between nature-relatedness and QoL.
FINDINGS: Of the 222 participants (86% female, mean age = 56.03, S.D. = 13.42), the analysis revealed a significant mediating role of resilience in the relationship between nature-relatedness and QoL among RA patients (b = -.117, SE = .042, 95% BCa CI [-.208, -.046]). Although grit and self-efficacy positively correlated with QoL, they did not serve as significant mediators in the nature-relatedness - QoL relationship. This highlights the pivotal role of building a sense of resiliency among patients with RA.
INTERPRETATION: Individuals with RA are not only resilient in terms of their psychological traits such as grit, self-efficacy, and general resilience but also exhibit resilience in their connection and interaction with the natural environment (nature-relatedness). This holistic concept recognizes that fostering resilience in both psychological aspects and the context of one's environment is crucial for promoting overall well-being, particularly in the management of chronic illnesses like RA. It emphasizes the interconnectedness of psychological factors and environmental engagement in contributing to an individual's ability to cope and thrive despite health challenges.
METHODS: Incidence of malignancy after cohort enrollment was evaluated. Factors associated with development of hematological and nonhematological malignancy were analyzed using competing risk regression and survival time using Kaplan-Meier.
RESULTS: Of 7455 patients, 107 patients (1%) developed a malignancy: 34 (0.5%) hematological [0.08 per 100 person-years (/100PY)] and 73 (1%) nonhematological (0.17/100PY). Of the hematological malignancies, non-Hodgkin lymphoma was predominant (n = 26, 76%): immunoblastic (n = 6, 18%), Burkitt (n = 5, 15%), diffuse large B-cell (n = 5, 15%), and unspecified (n = 10, 30%). Others include central nervous system lymphoma (n = 7, 21%) and myelodysplastic syndrome (n = 1, 3%). Nonhematological malignancies were mostly Kaposi sarcoma (n = 12, 16%) and cervical cancer (n = 10, 14%). Risk factors for hematological malignancy included age >50 vs. ≤30 years [subhazard ratio (SHR) = 6.48, 95% confidence interval (CI): 1.79 to 23.43] and being from a high-income vs. a lower-middle-income country (SHR = 3.97, 95% CI: 1.45 to 10.84). Risk was reduced with CD4 351-500 cells/µL (SHR = 0.20, 95% CI: 0.05 to 0.74) and CD4 >500 cells/µL (SHR = 0.14, 95% CI: 0.04 to 0.78), compared to CD4 ≤200 cells/µL. Similar risk factors were seen for nonhematological malignancy, with prior AIDS diagnosis showing a weak association. Patients diagnosed with a hematological malignancy had shorter survival time compared to patients diagnosed with a nonhematological malignancy.
CONCLUSIONS: Nonhematological malignancies were common but non-Hodgkin lymphoma was more predominant in our cohort. PLHIV from high-income countries were more likely to be diagnosed, indicating a potential underdiagnosis of cancer in low-income settings.