Verlin Joseph1, Jinhai Huo2, Robert Cook3, Roger B Fillingim4, Yingwei Yao5, Gebre Egziabher-Kiros6, Enrique Velazquez Villarreal7, Xinguang Chen3, Robert Molokie8, Diana J Wilkie5. 1. Center on Alcohol, Substance use And Addictions (CASAA), Department of Psychology, University of New Mexico, Albuquerque, New Mexico. Electronic address: vjoseph8@unm.edu. 2. Department of Health Services Research, Management and Policy College of Public Health and Health Professions University of Florida, Gainesville, Florida. 3. Department of Epidemiology, College of Public Health and Health Professions, College of Medicine, University of Florida, Gainesville, Florida. 4. Department of Dentistry, College of Public Health and Health Professions, University of Florida, Gainesville, Florida. 5. Department of Nursing, College of Public Health and Health Professions, University of Florida, Gainesville, Florida. 6. Institute of Public Health, College of Pharmacy, Florida Agricultural & Mechanical University, Tallahassee, Florida. 7. Department of Translational Genomics, Keck School of Medicine of University of Southern California, Los Angeles, California. 8. College of Medicine, University of Illinois at Chicago, Chicago, Illinois.
Abstract
AIMS: Patients with cancer have pain due to their cancer, the cancer treatment and other causes, and the pain intensity varies considerably between individuals. Additional research is needed to understand the factors associated with worst pain intensity. Our study aim was to determine the association between worst pain intensity and sociodemographics and cancerspecific factors among patients with cancer. DESIGN: A total of 1,280 patients with cancer recruited from multiple cancer centers over 25 years in the United States were asked to complete a questionnaire that collected respondents' demographic, chronic pain, and cancer-specific information. SETTINGS: Worst, least, and current pain intensities were captured using a modified McGill Pain Questionnaire (pain intensity measured on 0-10 scale). A generalized linear regression analysis was utilized to assess the associations between significant bivariate predictors and worst pain intensity scores.Our study sample was non-Hispanic White (64.5%), non-Hispanic Black (28.3%), and Hispanic (7.2%). On average, participants were 59.4 (standard deviation = 14.4) years old. The average worst pain intensity score was 6.6 (standard deviation = 2.50). After controlling for selected covariates, being Hispanic (β = 0.6859), previous toothache pain (β = 0.0960), headache pain (β = 0.0549), and stomachache pain (β = 0.0577) were positively associated with worse cancer pain. Notably, year of enrollment was not statistically associated with pain. CONCLUSIONS: Our study sample was non-Hispanic White (64.5%), non-Hispanic Black (28.3%), and Hispanic (7.2%). On average, participants were 59.4 (standard deviation = 14.4) years old. The average worst pain intensity score was 6.6 (standard deviation = 2.50). After controlling for selected covariates, being Hispanic (β = 0.6859), previous toothache pain (β = 0.0960), headache pain (β = 0.0549), and stomachache pain (β = 0.0577) were positively associated with worse cancer pain. Notably, year of enrollment was not statistically associated with pain. Findings identified being Hispanic and having previous severe toothache, stomachache, and headache pain as significant predictors of worst pain intensity among patients with cancer. After controlling for selected covariates, we did not note statistical differences in worst pain during a 25-year period. Therefore,studies focused on improving the management of pain among patients with cancer should target interventions for those with Hispanic heritage and those with past history of severe common pain.
AIMS: Patients with cancer have pain due to their cancer, the cancer treatment and other causes, and the pain intensity varies considerably between individuals. Additional research is needed to understand the factors associated with worst pain intensity. Our study aim was to determine the association between worst pain intensity and sociodemographics and cancerspecific factors among patients with cancer. DESIGN: A total of 1,280 patients with cancer recruited from multiple cancer centers over 25 years in the United States were asked to complete a questionnaire that collected respondents' demographic, chronic pain, and cancer-specific information. SETTINGS: Worst, least, and current pain intensities were captured using a modified McGill Pain Questionnaire (pain intensity measured on 0-10 scale). A generalized linear regression analysis was utilized to assess the associations between significant bivariate predictors and worst pain intensity scores.Our study sample was non-Hispanic White (64.5%), non-Hispanic Black (28.3%), and Hispanic (7.2%). On average, participants were 59.4 (standard deviation = 14.4) years old. The average worst pain intensity score was 6.6 (standard deviation = 2.50). After controlling for selected covariates, being Hispanic (β = 0.6859), previous toothache pain (β = 0.0960), headache pain (β = 0.0549), and stomachache pain (β = 0.0577) were positively associated with worse cancer pain. Notably, year of enrollment was not statistically associated with pain. CONCLUSIONS: Our study sample was non-Hispanic White (64.5%), non-Hispanic Black (28.3%), and Hispanic (7.2%). On average, participants were 59.4 (standard deviation = 14.4) years old. The average worst pain intensity score was 6.6 (standard deviation = 2.50). After controlling for selected covariates, being Hispanic (β = 0.6859), previous toothache pain (β = 0.0960), headache pain (β = 0.0549), and stomachache pain (β = 0.0577) were positively associated with worse cancer pain. Notably, year of enrollment was not statistically associated with pain. Findings identified being Hispanic and having previous severe toothache, stomachache, and headache pain as significant predictors of worst pain intensity among patients with cancer. After controlling for selected covariates, we did not note statistical differences in worst pain during a 25-year period. Therefore,studies focused on improving the management of pain among patients with cancer should target interventions for those with Hispanic heritage and those with past history of severe common pain.
Authors: Robert Weech-Maldonado; Leo S Morales; Marc Elliott; Karen Spritzer; Grant Marshall; Ron D Hays Journal: Health Serv Res Date: 2003-06 Impact factor: 3.402
Authors: Roger B Fillingim; Christopher D King; Margarete C Ribeiro-Dasilva; Bridgett Rahim-Williams; Joseph L Riley Journal: J Pain Date: 2009-05 Impact factor: 5.820