A Bachar1, D Hermoni2, G Livshits3, R Birk4. 1. Human Population Biology Research Unit, Department of Anatomy and Anthropology, Tel Aviv University, Tel Aviv, Israel; Sharon-Shomron District, Clalit Health Services, Netanya, Israel. 2. Department of Family Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Sharon-Shomron District, Clalit Health Services, Netanya, Israel. Electronic address: doronh@clalit.org.il. 3. Human Population Biology Research Unit, Department of Anatomy and Anthropology, Tel Aviv University, Tel Aviv, Israel. 4. Department of Nutrition, Faculty of Health Science, Ariel University, Ariel, Israel. Electronic address: ruthb@ariel.ac.il.
Abstract
AIMS: Our 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. METHODS: Medical 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. RESULTS: Significant 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). CONCLUSIONS: A 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.
AIMS: Our 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. METHODS: Medical 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. RESULTS: Significant 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). CONCLUSIONS: A 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 hypertensivepatients 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.
Authors: Paul S MacLean; Alexander J Rothman; Holly L Nicastro; Susan M Czajkowski; Tanya Agurs-Collins; Elise L Rice; Anita P Courcoulas; Donna H Ryan; Daniel H Bessesen; Catherine M Loria Journal: Obesity (Silver Spring) Date: 2018-04 Impact factor: 5.002
Authors: Kelly Shibuya; Xinge Ji; Elizabeth R Pfoh; Alex Milinovich; Wayne Weng; Janine Bauman; Rahul Ganguly; Anita D Misra-Hebert; Todd M Hobbs; Michael W Kattan; Kevin M Pantalone; Abhilasha Ramasamy; Bartolome Burguera Journal: Obes Sci Pract Date: 2020-02-25