The characteristics of extreme obese patients attending a specialist community weight management service

Program: Abstracts - Orals, Featured Poster Presentations, and Posters
Session: SAT 677-696-Obesity Physiology & Epidemiology
Clinical
Saturday, June 15, 2013: 1:45 PM-3:45 PM
Expo Halls ABC (Moscone Center)

Poster Board SAT-685
Alison Jagielski*1, Adrian Brown2, Marzieh Hosseini-Araghi3, Alice Wright4, Rhian Davies4, Amy Gouldstone4, Gillian Abernethy4, G Neil Thomas5 and Shahrad Taheri4
1NIHR CLAHRC Theme 8, 2Heart of England NHS Foundation Trust, Birmingham, United Kingdom, 3University of Birmingham, 4Specialist Weight Management Services, Heart of England NHS Foundation Trust, Birmingham, United Kingdom, 5Public Health, Epidemiology and Biostatistics, University of Birmingham, Birmingham, United Kingdom
Introduction: The prevalence of extreme obesity is increasing, and is associated with greater co-morbidities and an increased burden on healthcare services. To develop effective weight management services for extreme obesity, a better understanding of this patient population is needed.

Methods: We explored the characteristics of a sample of extreme obese individuals entering a specialist community weight management service. Patients completed questionnaires assessing quality of life and mental health (EQ5D, IWQOL-Lite and HADS), and sleep (PSQI and Epworth Sleepiness Scale). The sample included 270 individuals aged 18-80y (mean 43.5y SD=12.4).

Results: Mean baseline weight was 131.9kg (SD=24.5) and mean BMI 47.0kg/m2 (SD=7.8) Mean blood pressure was 141/85mmHg (SD=18/12) and mean waist circumference was 132cm (SD=24.5). The sample was predominantly White European (90%), female (75%), with 62% employed, 23% unemployed, 8% retired and 7% studying. The majority of the sample had children (88%), 51% were married, 23% single, 14% lived with a partner, 8% divorced, and 4% widowed. Smoking was prevalent (26% current smokers), with 14% being ex-smokers and 60% never smokers. Regular alcohol consumption was reported by 65%. The majority had taken medication to manage their weight (81%). The co-morbidities present were: type 2 diabetes (26.3%), obstructive sleep apnoea (25%), cardiovascular disease (11%), arthritis (23%), and hypertension (34%). The majority had a perceived low quality of life with 68% having an IWQOL-Lite total score below 50%, with a sample mean of 40% (IQR= 21-56). The mean EQ5D health score was low at 44%, whereby 100% represents optimum health. Anxiety and depression were highly prevalent with 70% scoring within the clinical case range for anxiety and 66% for depression. Perceived sleep quality was low with 60% reporting bad sleep, of whom 23% reported very bad sleep. The amount of sedentary time was also high with self-reported means of 6.7h (SD=3.9) on a weekday and 6.5h (SD=3.5) on a weekend day. 

Conclusions: Findings indicate that this is a sample with very complex medical and psychological needs and highlights areas to be addressed (including smoking, sleep quality, mood, and other co-morbidities) in the multidisciplinary management of these patients.

Disclosure: ST: Clinical Researcher, Lilly USA, LLC, Clinical Researcher, Novo Nordisk. Nothing to Disclose: AJ, AB, MH, AW, RD, AG, GA, GNT

*Please take note of The Endocrine Society's News Embargo Policy at http://www.endo-society.org/endo2013/media.cfm

Sources of Research Support: AJ, MH, ST are supported by the UK National Institute of Health Research Collaborations for Leadership in Applied Health Research and Care.