Bella Etingen1, Scott Miskevics, Sherri L LaVela. 1. Questions or comments about this article may be directed to Bella Etingen, PhD, at bella.etingen@va.gov. She is a Research Health Scientist, Center of Innovation for Complex Chronic Healthcare (CINCCH), Health Services Research & Development, Department of Veterans Affairs, Edward Hines Jr. VA Hospital, Hines, IL. Scott Miskevics, BS, is Data Management Programmer, CINCCH, Health Services Research & Development, Department of Veterans Affairs, Edward Hines Jr. VA Hospital, Hines, IL. Sherri L. LaVela, PhD MPH MBA, is Research Health Scientist, CINCCH, Health Services Research & Development, Department of Veterans Affairs, Edward Hines Jr. VA Hospital, Hines, IL, and Research Assistant Professor, Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Abstract
OBJECTIVES: The study objectives were to compare psychosocial well-being in individuals with spinal cord injuries/disorders (SCI/D) and above-mean ("high") versus below-mean ("low") pain interference, and to determine whether psychosocial well-being was negatively associated with pain interference. METHODS: Data were collected via a cross-sectional survey mailed in late 2014 to early 2015 to a national sample of veterans with SCI/D who received prior-year Veterans Affairs healthcare and assessed demographics, injury-related factors, select health conditions, pain interference, and psychosocial well-being. Bivariate comparisons and multivariate linear regressions identified factors related to higher pain interference. RESULTS: Approximately 79% of the sample (n = 813) reported high pain interference. Veterans with high (vs. low) pain interference reported worse perceptions of all included psychosocial well-being measures. Regression results indicated that higher pain interference was associated with higher grief/loss (β = 0.38, P < .0001) and negative psychosocial illness impact (β = 0.39, P < .0001), and lower positive affect (β = -0.39, P < .0001), resilience (β = -0.31, P < .0001), and life satisfaction (β = -0.39, P < .0001). CONCLUSIONS: The pain experience is independently associated with poor psychosocial well-being among individuals with SCI/D. Efforts to decrease perceptions of pain interference and improve factors associated with psychosocial well-being may symbiotically improve outcomes in SCI/D cohorts. Such efforts may focus on effective pain management programs aligned with patients' treatment preferences.
OBJECTIVES: The study objectives were to compare psychosocial well-being in individuals with spinal cord injuries/disorders (SCI/D) and above-mean ("high") versus below-mean ("low") pain interference, and to determine whether psychosocial well-being was negatively associated with pain interference. METHODS: Data were collected via a cross-sectional survey mailed in late 2014 to early 2015 to a national sample of veterans with SCI/D who received prior-year Veterans Affairs healthcare and assessed demographics, injury-related factors, select health conditions, pain interference, and psychosocial well-being. Bivariate comparisons and multivariate linear regressions identified factors related to higher pain interference. RESULTS: Approximately 79% of the sample (n = 813) reported high pain interference. Veterans with high (vs. low) pain interference reported worse perceptions of all included psychosocial well-being measures. Regression results indicated that higher pain interference was associated with higher grief/loss (β = 0.38, P < .0001) and negative psychosocial illness impact (β = 0.39, P < .0001), and lower positive affect (β = -0.39, P < .0001), resilience (β = -0.31, P < .0001), and life satisfaction (β = -0.39, P < .0001). CONCLUSIONS: The pain experience is independently associated with poor psychosocial well-being among individuals with SCI/D. Efforts to decrease perceptions of pain interference and improve factors associated with psychosocial well-being may symbiotically improve outcomes in SCI/D cohorts. Such efforts may focus on effective pain management programs aligned with patients' treatment preferences.
Authors: Odinachi Moghalu; John T Stoffel; Sean P Elliott; Blayne Welk; Chong Zhang; Angela Presson; Jeremy Myers Journal: J Urol Date: 2021-09-22 Impact factor: 7.450