Late successful weight reduction and maintenance among overweight and obese adults-A two-year retrospective study

- Substantial sub-group of obese and overweight patients loss weight at a slower rate.
- Significant specific predictors were identified.
- Diabetic and hypertensive patients are at a significantly higher risk of failure to reduce and maintain weight.
- We calculated the probability of successful late weight reduction. This could serve as a tool for clinical professional team.

AimsOur purpose was to identify those factors associated with successful late weight reduction and maintenance among overweight and obese adults who failed to achieve initial weight reduction success.MethodsMedical computerized files of 5254 participants, who failed to achieve ≥5% weight reduction after an initial 6-month period, were retrospectively analyzed to identify predictors associated with late successful weight reduction and maintenance (≥5% during the first and second years, respectively). Over 40 independent variables were analyzed. The main outcome was the percentage of weight change.ResultsSignificant predictors of late success in weight reduction were as follows: more visits to a dietitian, higher baseline BMI, and any initial weight reduction (0-5%) (OR = 3.69, compared with participants who initially gained weight). The use of insulin (OR = 0.499) and the presence of hypertension (OR = 0.75) were significantly correlated with failure to reduce weight. Predictors of late maintenance were as follows: more visits to a dietitian, higher baseline BMI, any initial weight reduction, a younger age, not being treated with insulin (OR = 0.316), and more weighings (OR = 1.68).ConclusionsA substantial sub-group of obese and overweight patients was able to reduce their weight at a slower rate than the defined successful time of 6 months. Significant specific predictors were identified. Diabetic and hypertensive patients are at a significantly higher risk of failure to reduce and maintain weight. Using regression models, we calculated the probability of successful late weight reduction. This calculation could serve as a clinical tool for a professional team.