Self-Regulation Strategies Among Community-Dwelling People Aging With Arthritis and Multimorbidity

Self-regulation strategies of selection, optimization, and compensation (SR-SOC) have been found to predict arthritis self-efficacy and quality of life among community-dwelling people aging with arthritis and multimorbidity. The current study aimed to describe the health resources and chronic disabling symptom characteristics of community-dwelling people aging with arthritis and multimorbidity and investigate how these characteristics influence and predict SR-SOC strategies in managing arthritis multimorbidity after controlling for demographics and comorbidities. One hundred forty individuals aged >50 years completed surveys on demographics, comorbidities, health resources, symptoms, and SR-SOC strategy use frequencies. Descriptive statistics were used to describe sample characteristics. Correlations and multivariate hierarchical stepwise regressions were used to examine the associated characteristics and predictors for SR-SOC strategy use frequency. Lower health literacy, health care provider communication quality, and smaller social network were reported less often than arthritis in general. Significant predictors of SR-SOC strategy use were physical symptoms, health care provider communication quality, and age (p < 0.05). Better symptom management and health care provider communication quality could help promote self-regulation. [Journal of Gerontological Nursing, 47(1), 35-45.].