Cardiovascular disease (CVD) is the leading cause of death in the United States. As with the overall population, it is also the leading cause of death among individuals with spinal cord injuries (SCI). Epidemiological research has shown obesity to be a major risk factor for developing CVD. Obesity is prevalent in both sedentary and physically active people with SCI. With over 200,000 individuals with SCI currently in the United States, and approximately 14,000 new SCI each year, this is a large concern. This study focused on women with SCI. In this study, females (n = 24) with SCI, 25 to 69 years of age (M = 41.3 ± 13.3) were assessed using Dual energy x-ray absorptiometry (DXA) as the criterion measure. Eleven standardized skinfold (SF) sites were measured and entered, along with demographic information, as possible predictors for regression analysis. The study attempted to validate an existing SF equation, which was found to be unacceptable, therefore a new body fat (BF) predication equation using the SF technique was developed. %BF = 9.553 + (TrBiThCfSs) .238 - (Ch) .315, (R2 = .90, SEE = 2.71). However, the equation was not validated. A valid clinical method of determining body composition (BC) will enable health professionals to identify clients with SCI who are at-risk for disease and document BC changes due to exercise. Body composition measures can also be used by medical and health professionals to monitor changes in fat and lean body mass resulting from SCI, this could lead to the development of more effective nutrition and exercise intervention strategies to counteract the increase of fat mass associated with SCI. Keyword(s): assessment, measurement/evaluation, wellness/disease prevention