Lipoedema is a chronic adipose tissue disorder that occurs almost exclusively in women and affects approximately 11% worldwide. Pain is a recurring feature described by people with lipoedema (pwL) with a recent study reporting 88.3% of patients indicating pain as a clinical feature. It has been suggested, with chronic long-term conditions, that the pain people experience can be moulded by a myriad of elements.This includes biomedical, psychosocial (e.g. patients' beliefs, expectations, and mood), and behavioural factors (e.g. context, responses by significant others). PwL often experience significant impairment in their daily activities and quality of life. It has further been found that psychological and the biomedical consequences of lipoedema can increase the chances of anxiety and depression which can subsequently further impact on quality of life and pain experience.~This observational study will seek to investigate the following questions in women with lipoedema:~pain characteristics, intensity and patterns of pain~the relationships between the characteristics, intensity and patterns of pain and age, ethnicity, location, employment status, levels of anxiety/depression, walking ability, ability to work, relations with other people, impact on sleep and quality of life.~the impact of pain treatments or medications on the intensity of pain. INformation about pain characteristics, demographics, mood, functional ability and quality of life will be collected via an online survey and participants will be recruited through social media platforms.
This observational study will seek to investigate the following questions in women with lipoedema:~pain characteristics, intensity and patterns of pain~the relationships between the characteristics, intensity and patterns of pain and age, ethnicity, location, employment status, levels of anxiety/depression, walking ability, ability to work, relations with other people, impact on sleep and quality of life.~the impact of pain treatments or medications on the intensity of pain. The information will be collected via an online survey and participants will be recruited through social media platforms.