The journal of pain : official journal of the American Pain Society
-
Population-based studies suggest that pain in the lower body is common and that pain at multiple sites is more prevalent than single-site pain. Obesity is a risk factor for multisite musculoskeletal pain, but there are limited data on the role of body composition. Therefore, we sought to determine whether body composition is associated with multisite musculoskeletal pain involving the low back, knee, and foot. A total of 133 participants were recruited for a study examining the relationship between obesity and musculoskeletal disease. Participants completed validated questionnaires that examined levels of pain at the low back, knee, and foot. Body composition was assessed using dual-energy x-ray absorptiometry. Multisite pain was common, with 26.3% of participants reporting pain at 2 sites and 31.6% at 3 sites, and only 20% were pain free. The low back was the most common site of pain (63%). Greater fat mass and fat mass index, but not fat-free mass, were associated with pain at a greater number of sites, independent of age, gender, and fat-free mass (P < .01). Longitudinal studies exploring the mechanism of action by which increased fat mass is associated with pain may provide important insights into therapeutic strategies for the prevention of multisite pain. ⋯ Greater fat mass and fat mass index were associated with a greater number of lower body pain sites, with no association observed for fat-free mass. Understanding the mechanism by which increased fat mass is associated with pain may provide important insights into therapeutic strategies for the prevention of pain.
-
Review Meta Analysis
Assay Sensitivity of Pain Intensity Versus Pain Relief in Acute Pain Clinical Trials: ACTTION Systematic Review and Meta-Analysis.
The magnitude of the effect size of an analgesic intervention can be influenced by several factors, including research design. A key design component is the choice of the primary endpoint. The purpose of this meta-analysis was to compare the assay sensitivity of 2 efficacy paradigms: pain intensity (calculated using summed pain intensity difference [SPID]) and pain relief (calculated using total pain relief [TOTPAR]). A systematic review of the literature was performed to identify acute pain studies that calculated both SPIDs and TOTPARs within the same study. Studies were included in this review if they were randomized, double-blind, placebo-controlled investigations involving medications for postsurgical acute pain and if enough data were provided to calculate TOTPAR and SPID standardized effect sizes. Based on a meta-analysis of 45 studies, the mean standardized effect size for TOTPAR (1.13) was .11 higher than that for SPID (1.02; P = .01). Mixed-effects meta-regression analyses found no significant associations between the TOTPAR - SPID difference in standardized effect size and trial design characteristics. Results from this review suggest that for acute pain studies, utilizing TOTPAR to assess pain relief may be more sensitive to treatment effects than utilizing SPID to assess pain intensity. ⋯ The results of this meta-analysis suggest that TOTPAR may be more sensitive to treatment effects than SPIDs are in analgesic trials examining acute pain. We found that standardized effect sizes were higher for TOTPAR compared to SPIDs.
-
Using a simple approach for coding pain severity, the present study describes self-reported pain in U.S. adults. Data are included for 8,781 adults who completed the Functioning and Disability Supplement of the 2012 National Health Interview Survey. An internationally piloted pain severity coding system was used to group participants into 5 discrete ordered pain categories based on their pain persistence (days with pain in the last 3 months) and bothersomeness (little, a lot, somewhere in between): pain free and categories 1 (low) to 4 (high). It is estimated that 126.1 million adults reported some pain in the previous 3 months, with 25.3 million adults (11.2%) suffering from daily (chronic) pain and 23.4 million (10.3%) reporting a lot of pain. Based on the persistence and bothersomeness of their pain, 14.4 million adults (6.4%) were classified as having the highest level of pain, category 4, with an additional 25.4 million adults (11.3%) experiencing category 3 pain. Individuals with category 3 or 4 pain were likely to have worse health status, to use more health care, and to suffer from more disability than those with less severe pain. Associations were seen between pain severity and selected demographic variables including race, ethnicity, preferred language, sex, and age. ⋯ U.S. estimates of pain prevalence are presented using a simple approach for assigning pain severity developed by the Washington Group on Disability Statistics. Concurrent validity is assessed. Although this approach is promising, additional work is required to determine the usefulness of the Washington Group pain categories for pain research or clinical practice.