Associations of lifetime traumatic experience with dysfunctional eating patterns and postsurgery weight loss in adults with obesity: A retrospective study.
Alexis RuffaultFanny VaugeoisCharles BarsamianKàtia Lurbe I PuertoGérane Le Quentrec-CrevenCécile FlahaultAnne-Jeanne NaudéMargot FerrandClaire Rives-LangeSébastien CzernichowClaire CarettePublished in: Stress and health : journal of the International Society for the Investigation of Stress (2018)
This study aimed to examine the associations of lifetime traumatic experience with presurgery and postsurgery eating pathology and postoperative weight loss in a sample of adult bariatric surgery patients using electronic medical record (EMR) data. Presurgery lifetime exposure to traumatic event, presurgery and postsurgery dysfunctional eating patterns, and post-operative total and excess weight losses were extracted from electronic medical records of 200 adult bariatric surgery patients in 2013 and 2014. Logistic regression analyses were conducted. During their lifetime, 60.5% of the patients (81.5% women, age = 44.4 ± 11.5 years; BMIpre = 44.9 ± 5.5 kg/m2 ) reported that they were exposed to a traumatic event. Before surgery, trauma exposure was associated with impulsive, compulsive, or restrictive eating patterns (OR = 2.40), overeating or disturbed eating (OR = 1.55), and grazing or night eating behaviours (OR = 1.72). After surgery, trauma exposure was associated with lower total weight loss at 6 (OR = 2.06) and 24 months (OR = 2.06), and to overeating or disturbed eating (OR = 1.53) 12 months after surgery. Bariatric surgery candidates with a history of trauma exposure could benefit from closer medical, dietetic, and/or psychological follow-up care to avoid insufficient postoperative weight loss as well as reappearance of dysfunctional eating patterns after surgery.
Keyphrases
- weight loss
- bariatric surgery
- roux en y gastric bypass
- gastric bypass
- obese patients
- end stage renal disease
- spinal cord injury
- newly diagnosed
- ejection fraction
- weight gain
- glycemic control
- healthcare
- physical activity
- chronic kidney disease
- prognostic factors
- palliative care
- type diabetes
- insulin resistance
- machine learning
- metabolic syndrome
- polycystic ovary syndrome
- pregnant women
- skeletal muscle
- big data
- health insurance