Nutr Res Pract.  2014 Feb;8(1):94-102.

Early dropout predictive factors in obesity treatment

• Michelini
• Falchi AG
• Muggia C
• Grecchi I
• Montagna E
• De Silvestri A
• Tinelli C

Abstract

Diet attrition and failure of long term treatment are very frequent in obese patients. This study aimed to identify pre-treatment variables determining dropout and to customise the characteristics of those most likely to abandon the program before treatment, thus making it possible to modify the therapy to increase compliance. A total of 146 outpatients were consecutively enrolled; 73 patients followed a prescriptive diet while 73 followed a novel brief group Cognitive Behavioural Treatment (CBT) in addition to prescriptive diet. The two interventions lasted for six months. Anthropometric, demographic, psychological parameters and feeding behaviour were assessed, the last two with the Italian instrument VCAO Ansisa; than, a semi-structured interview was performed on motivation to lose weight. To identify the baseline dropout risk factors among these parameters, univariate and multivariate logistic models were used. Comparison of the results in the two different treatments showed a higher attrition rate in CBT group, despite no statistically significant difference between the two treatment arms (P = 0.127). Dropout patients did not differ significantly from those who did not dropout with regards to sex, age, Body Mass Index (BMI), history of cycling, education, work and marriage. Regardless of weight loss, the most important factor that determines the dropout appears to be a high level of stress revealed by General Health Questionnaire-28 items (GHQ-28) score within VCAO test. The identification of hindering factors during the assessment is fundamental to reduce the dropout risk. For subjects at risk, it would be useful to dedicate a stress management program before beginning a dietary restriction.

Keyword

Obesity treatment; weight loss; diet attrition; dropout risk factor; dropout predictive factor

MeSH Terms

Arm
Body Mass Index
Compliance
Diet
Education
Humans
Logistic Models
Marriage
Motivation
Obesity*
Outpatients
Patient Dropouts*
Risk Factors
Weight Loss

Figure

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  Fig. 1 Logistic multivariate analyses. Square represent OR (logaritmic scale) and bars 95% CI. High GHQ score represent a significant risk factor for abandoning weight loss program, while an high level of one-self weight dissatisfaction and previous diets are protective factor.

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