The Impact of Weight on Quality of Life-Lite (IWQOL-Lite) is a survey instrument that is used to quantitatively assess an individual’s perception of how their weight affects their day-to-day life. This instrument is especially valuable to obesity researchers, clinicians, psychologists, medical device and/or pharmaceutical companies seeking to validate the effectiveness of their treatments for obesity using metrics that go beyond the physical measurements of weight loss.
Over the past 25 years, the prevalence of obesity has more than doubled in the US and has risen dramatically worldwide. Obesity increases the risk of numerous co-morbid health conditions, including cardiovascular disease and diabetes, whose prevalence is also on the rise. In addition, population studies and studies of those seeking treatment for obesity consistently demonstrate that obesity significantly impairs quality of life in domains other than health, including self esteem and social relationships. Improving weight-related quality of life, therefore, is a critical goal of any obesity treatment. This instrument offers researchers and practitioners a well-characterized method to measure a patient’s quality of life along with the clinical measures of success for obesity treatment. In addition, the United States Food and Drug Administration has begun to accept some patient reported outcome instruments in support of specific pharmaceutical product labeling and advertising claims.
This instrument has particular utility for pharmaceutical companies, bariatric surgeons, CROs, and psychologists actively involved in the development or administration of treatments for obesity or co-morbid conditions, including cardiovascular disease and diabetes. The instrument is easily understood by, and administered to, patients and has been used to measure improvements in weight-related quality of life in response to behavioral, pharmaceutical, and surgical treatments for obesity. Use of this tool allows researchers and practitioners to collect and report patient well being information in addition to the standard array of clinical health parameters.