Lifestyle Can Exert a Significant Impact on the Development of Metabolic Complications and Quality Life in Patients with Inflammatory Bowel Disease.
Sandra García-MateoSamuel Jesús Martínez DomínguezCarla Jerusalén Gargallo-PuyueloMaría Teresa Arroyo VillarinoViviana LaredoBeatriz GallegoErika AlfambraFernando Gomollón-BelPublished in: Nutrients (2023)
Inflammatory bowel diseases (IBDs) are associated with an increased risk of metabolic comorbidities. There is a lack of data regarding the relationship between lifestyle and metabolic diseases in IBD patients. A cross-sectional study on consecutive IBD outpatients was conducted. Adherence to the Mediterranean diet (MD) was assessed using a 14-item questionnaire from the PREDIMED study, and physical activity was evaluated using the GODIN-Leisure score. Body composition was studied based on body mass index and waist-hip ratio (WHR), while quality of life was assessed using a nine-item short questionnaire. Among the 688 evaluated IBD patients, 66% were overweight or obese, 72.7% did not lead an active lifestyle and 70.1% did not adhere to the MD. Metabolic syndrome was associated with age (OR = 1.07, p = 0.019), overweight/obesity (OR = 12.987, p < 0.001) and the inflammatory behavior of Crohn's disease (OR = 6.172, p = 0.001). Type 2 diabetes mellitus or prediabetes was associated with age (OR = 1.063 p = 0.016), overweight/obesity (OR = 3.861, p < 0.001) and the inflammatory behavior of Crohn's disease (OR = 4.716, p = 0.001). Overweight /obesity (OR = 5.494, p < 0.001), a high WHR (OR = 2.564, p = 0.005) and a non-active lifestyle (OR = 2.202, p = 0.0003) were associated with metabolic dysfunction-associated steatotic liver disease. Lifestyle, body composition and not solely systemic inflammation might exert a significant influence on the emergence of metabolic comorbidities such as MASLD, type 2 diabetes mellitus and metabolic syndrome in patients with IBD.
Keyphrases
- metabolic syndrome
- weight loss
- physical activity
- body composition
- bariatric surgery
- insulin resistance
- weight gain
- glycemic control
- end stage renal disease
- uric acid
- cardiovascular risk factors
- body mass index
- oxidative stress
- resistance training
- type diabetes
- ejection fraction
- cardiovascular disease
- newly diagnosed
- chronic kidney disease
- prognostic factors
- bone mineral density
- peritoneal dialysis
- patients with inflammatory bowel disease
- psychometric properties
- high fat diet induced
- adipose tissue
- machine learning
- sleep quality
- total hip arthroplasty
- big data
- electronic health record
- obese patients
- postmenopausal women
- deep learning
- depressive symptoms
- patient reported outcomes