PW13 - EATING BEHAVIOURS AND PERCEIVED STRESS AS PREDICTORS OF BMI AND BODY COMPOSITION CHANGES DURING AN 8-WEEK LOW ENERGY DIET: A SECONDARY ANALYSIS OF THE PREVIEW DIABETES-RISK STUDY NOTTINGHAM COHORT

PW13

EATING BEHAVIOURS AND PERCEIVED STRESS AS PREDICTORS OF BMI AND BODY COMPOSITION CHANGES DURING AN 8-WEEK LOW ENERGY DIET: A SECONDARY ANALYSIS OF THE PREVIEW DIABETES-RISK STUDY NOTTINGHAM COHORT

D. Alogaiel^1,2,*, L. Simpson³, A. Raben⁴, M. Fogelholm⁵, J. Brand-Miller⁶, W. Schlicht⁷, E. Feskens⁸, I. A. Macdonald³, D. N. Lobo⁹

¹Health Sciences Department, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia, ²School of Medicine, ³School of Life Sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham NG7 2UH, United Kingdom, ⁴Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 30, Frederiksberg C, DK-1958 Copenhagen, Denmark, ⁵Department of Food and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland, ⁶Charles Perkins Centre, University of Sydney, Sydney 2006, Australia, ⁷Department of Exercise and Health Sciences, University of Stuttgart, 70569 Stuttgart, Germany, ⁸Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, Netherlands, ⁹Gastrointestinal Surgery, Nottingham Digestive Diseases Centre, National Institute for Health Research Nottingham Biomedical Research Centre, Nottingham University Hospitals and the University of Nottingham, Queen's Medical Centre, Nottingham , United Kingdom

Rationale: Lifestyle and eating behaviours may influence weight loss during dietary interventions, but their predictive value remains unclear. Understanding these relationships could inform personalised approaches to obesity treatment.

Methods: Relationships between pre-intervention eating behaviour (Three-Factor Eating Questionnaire; TFEQ), perceived stress (Perceived Stress Scale; PSS), sleep quality (Pittsburgh Sleep Quality Index; PSQI), physical activity (Accelerometry) and changes in BMI and body composition (Dual-Energy X-ray Absorptiometry), following an 8-week Low Energy Diet (LED), were examined in participants with pre-diabetes in the Nottingham PREVIEW cohort (n=221; M:91, F:130; age range:25-70y; BMI range:25.76-54.54 kg/m²). Relationships were examined using Pearson correlation and multiple regression analyses, with biological sex entered as a potential modifier.

Results: Pre-intervention ‘Eating Restraint’ positively correlated with BMI change (ΔBMI = 0.083×Restraint−4.687: R = 0.276; P<0.001), whilst ‘Disinhibition’ was negatively correlated (ΔBMI = −0.053×Disinhibition−3.619: R = -0.173; P<0.05); both relationships being weakly modified by biological sex (ΔR² = 0.046; P=0.001 and ΔR² = 0.119; P<0.001, respectively). No associations were found between ‘Hunger’, PSS or PSQI score, or physical activity measures and ΔBMI. However, PSS score correlated with fat mass change (Δ fat mass = 0.076×PSS−8.931: R= 0.178; P<0.05), and this relationship was modified by sex (ΔR²= 0.072; P<0.001).

Conclusion: Addressing eating behaviours and stress management may be key factors for personalised weight management interventions in people with pre-diabetes and overweight or obesity.

Disclosure of Interest: None declared