Body image dissatisfaction: A novel predictor of poor quality of life in epilepsy.

OBJECTIVE: People with epilepsy have long reported reduced quality of life (QoL) compared to healthy peers. This initial study seeks to broaden our understanding of QoL in adults with epilepsy, by examining the adverse impact of body image dissatisfaction for the first time. This aim stems from the observation that both seizures and their medical treatment can cause unwanted changes to physical appearances, such as weight change, hirsutism, and acne. METHOD: Sixty-three adults with epilepsy and 48 age- and gender-matched healthy controls were recruited from a tertiary epilepsy program and targeted social media. Participants completed an online suite of well-validated questionnaires canvassing state (current) and trait (long-term) aspects of body image dissatisfaction, mood, QoL, and medical history. RESULTS: People with epilepsy reported significantly elevated levels of trait body image dissatisfaction compared to controls across the dimensions of appearance evaluation, body areas satisfaction, and self-classified weight (p = 0.02); but did not differ from controls on state body image dissatisfaction (p > 0.05). All facets of body image dissatisfaction in participants with epilepsy were strongly associated with reduced QoL, together with heavier body weight, depressive symptoms, medical comorbidities, and a belief that epilepsy hindered their ability to attain a healthier physique. Multiple regression revealed that body image dissatisfaction was the strongest unique contributor to poor QoL in the epilepsy group (ß = 0.46, p ≤ 0.001), above and beyond the contribution of current depressive symptoms (ß = 0.34, p ≤ 0.01). SIGNIFICANCE: This is the first study to highlight the high rates of body image dissatisfaction among adults with epilepsy, and the significantly detrimental impact it has on patient well-being. It also opens novel avenues for psychological interventions in epilepsy, that focus on enhancing positive body image as a means of holistically improving the often-poor psychological outcomes for people with this condition.

Missed, mistaken, stalled: Identifying components of delay to diagnosis in epilepsy.

A substantial proportion of individuals with newly diagnosed epilepsy report prior seizures, suggesting a missed opportunity for early epilepsy care and management. Consideration of the causes and outcomes of diagnostic delay is needed to address this issue. We aimed to review the literature pertaining to delay to diagnosis of epilepsy, describing the components, characteristics, and risk factors for delay. We undertook a systematic search of the literature for full-length original research papers with a focus on diagnostic delay or seizures before diagnosis, published 1998-2020. Findings were collated, and a narrative review was undertaken. Seventeen papers met the inclusion criteria. Studies utilized two measures of diagnostic delay: seizures before diagnosis and/or a study-defined time between first seizure and presentation/diagnosis. The proportion of patients with diagnostic delay ranged from 16% to 77%; 75% of studies reported 38% or more to be affected. Delays of 1 year or more were reported in 13%-16% of patients. Seizures prior to diagnosis were predominantly nonconvulsive, and usually more than one seizure was reported. Prior seizures were often missed or mistaken for symptoms of other conditions. Key delays in the progression to specialist review and diagnosis were (1) "decision delay" (the patient's decision to seek/not seek medical review), (2) "referral delay" (delay by primary care/emergency physician referring to specialist), and (3) "attendance delay" (delay in attending specialist review). There were few data available relevant to risk factors and virtually none relevant to outcomes of diagnostic delay. This review found that diagnostic delay consists of several components, and progression to diagnosis can stall at several points. There is limited information relating to most aspects of delay apart from prevalence and seizure types. Risk factors and outcomes may differ according to delay characteristics and for each of the key delays, and recommendations for future research include examining each before consideration of interventions is made.