Psychosocial predictors of weight loss after bariatric surgery.

Department of Psychiatry and Psychotherapy, University Hospital, Medical University Innsbruck, Innsbruck, Austria.
Obesity Surgery (Impact Factor: 3.74). 01/2007; 16(12):1609-14. DOI: 10.1381/096089206779319301
Source: PubMed

ABSTRACT The authors investigated the predictive value of various parameters such as age, preoperative weight, eating behavior, psychiatric disorders, adverse childhood experiences and self-efficacy with regard to weight loss after gastric restrictive surgery.
After a minimum follow-up of 30 months (median follow-up 50 months; range 30-84 months), a questionnaire concerning extent of, satisfaction with, and consequences of weight loss was mailed to 220 morbidly obese female patients following laparoscopic Swedish adjustable gastric banding (SAGB).
Questionnaires were completed and returned by 140 patients (63%). Average BMI loss was 14.6 kg/m(2). Most patients (85%) were happy with the extent of weight loss. Satisfaction with weight loss showed a significant correlation with extent of weight loss. BMI loss was greatest in the obese with an atypical eating disorder (20.0 kg/m(2)), and BMI loss was least in the obese with no eating-disordered behavior before surgery (13.4 kg/m(2)). Obese patients with two or more psychiatric disorders showed significantly less weight loss than did obese patients with one or no psychiatric disorder (BMI units 10.8 vs 14.0 vs 16.1; P=.047).
The findings indicate a less successful outcome for obese patients with psychiatric disorders (particularly adjustment disorders, depression and/or personality disorders), compared to patients not mentally ill. An eating disorder preceding surgery, however, was not a negative predictor of success following bariatric surgery. To improve outcome of bariatric surgery in obese patients with psychiatric disorders, more individual psychosocial intervention strategies are necessary.

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    ABSTRACT: Background:In severe obesity, impairments in health-related quality of life (HRQoL) and dysphoric mood are reported. This is a post-surgery analysis of the relationship between HRQoL and depressive symptoms, and weight change after four different types of bariatric procedures.Methods:A total of 105 consented patients completed the Short-Form-36 Health Survey (SF-36), the Impact of Weight on Quality of Life-Lite (IWQOL-Lite) and the Beck Depression Inventory (BDI) before and 25 months after surgery. Analysis of variance or Kruskal-Wallis test evaluated changes.Results:Patients with Roux-en Y gastric bypass (46 patients), decreased body mass indexes (BMIs; kg m(-)(2)) 47-31 kg m(-)(2) (P<0.0001); biliopancreatic diversion with duodenal switch (18 patients), decreased BMIs 57-30 kg m(-)(2) (P<0.0001); adjustable gastric banding (18 patients), decreased BMIs 45-38 kg m(-)(2) (P<0.0001); and sleeve gastrectomies (23 patients), decreased BMIs 58 42 kg m(-)(2) (P<0.0001). The excess percentage BMI loss was 69, 89, 36 and 53 kg m(-)(2), respectively (P<0.0001). Before surgery, the SF-36 differences were significant regarding bodily pain (P=0.008) and social functioning (P=0.01). After surgery, physical function (P=0.03), general health (P=0.05) and physical component (P=0.03) were different. IWQOL-Lite recorded no differences until after surgery: physical function (P=0.003), sexual life (P=0.04) and public distress (P=0.003). BDI scores were not different for the four groups at baseline. All improved with surgery, 10.6-4.4 (P=0.0001).Conclusions:HRQoL and depressive symptoms significantly improvement after surgery. These improvements do not have a differential effect over the wide range of weight change.Nutrition & Diabetes (2014) 4, e132; doi:10.1038/nutd.2014.29; published online 1 September 2014.
    Nutrition & Diabetes 09/2014; 4:e132. · 1.52 Impact Factor
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    ABSTRACT: Background: Presence of depression and /or a lack of appropriate social support may exert deleterious effects on postoperative weight loss in bariatric surgery patients. The purpose of this study was to investigate the interactive effects of surgical procedure and marital status on weight loss in these patients, and to assess the impact of depression on these effects. Methods: A retrospective review was performed of patients who underwent laparoscopic gastric bypass or banding surgery (LRYGB or LAGB) at a single institution from 2005-2007. Our sample included 62 patients who had values for all time points for percent excess weight loss (%EWL) preoperatively, and 1, 3, 6, 12, and 18 months postoperatively. Data were analyzed using SAS 9.1, where %EWL was tested in mixed models for effects of marital status, surgical procedure, time, and all interactions of the three. Correlation analyses were used to examine the relationship between baseline depression and %EWL within categories of marital status. Results: Interactions were found between surgery-type and time, and marital status and time. LRYGB patients had greater %EWL compared to LAGB at all postoperative time points, and %EWL for Married patients was less than that of Singles at 12 and 18 months. There was a marked, inverse relationship between depression and %EWL for the Single group, but not the others. Conclusions: Interactions between these variables suggests that the effects of marital status on %EWL may be modulated by depression. Further studies are needed in order to examine these relationships in samples including more even distributions of sex and marital status. Citation: Pohle-Krauza RJ, McCarroll ML, Pasini D, Dan AG, Zografakis JG (2011) The Effect of Marital Status on Weight Loss After Bariatric Surgery is Moderated by Depression. J Obes Weig los Ther 1:104. Copyright: © 2011 Pohle-Krauza RJ, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
    Journal of Obesity & Weight loss Therapy. 01/2011; 01(01).
  • Bariatric Nursing and Surgical Patient Care 12/2008; 3(4):233-235. · 0.13 Impact Factor