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Intensive Behavioral Therapy for Weight Loss in Patients With, or At-Risk Of, Type 2 Diabetes: Results from the PaTH to Health Diabetes Study

Abstract

Intensive behavioral therapy (IBT) is an important component of obesity treatment and can reduce the risk of type 2 diabetes (T2DM). Objective was to compare the effectiveness of IBT to usual care in achieving weight loss in two study cohorts within PaTH Network: T2DM and At-Risk of T2DM. The TD2M cohort was defined as age 18 years and older with an indication of T2DM in the EHR based on a validated algorithm and at least 2 outpatient primary care visits. The At-Risk of T2DM cohort was defined by a BMI ≥ 25 kg/m. The primary outcome was weight change within 1-year of index date. Mixed-effects models assessed the effectiveness of IBT by comparing the changes between study groups. Between 2009 and 2020, a total of 567,908 patients were identified in the T2DM cohort and2,054,256 patients in the At-Risk of T2DM cohort. Both IBT patients and matched non-IBT patients in the T2DM cohort had decreased mean weight (primary outcome) (-1.56 lbs, 95 %CI: -1.88, -1.24 vs -1.70 lbs, 95 %CI: -1.95, -1.44) in 1-year after index date. In the At-Risk of T2DM cohort, both IBT and non-IBT patients experienced weight gain and resultant increased BMI. Patients with more than one IBT visit gained less weight than those with only one visit (1.22 lbs, 95 %CI: 0.82, 1.62 vs 6.72 lbs, 95 %CI: 6.48, 6.97; p < 0.001). IBT was unlikely to result in clinically significant weight loss. Barriers to utilizing IBT require further research to ensure broader adoption of obesity management in primary care.

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References
1.
Albright A . The National Diabetes Prevention Program: From Research to Reality. Diabetes Care Educ Newsl. 2015; 33(4):4-7. PMC: 4593752. View

2.
Wadden T, Tsai A, Tronieri J . A Protocol to Deliver Intensive Behavioral Therapy (IBT) for Obesity in Primary Care Settings: The MODEL-IBT Program. Obesity (Silver Spring). 2019; 27(10):1562-1566. PMC: 6786257. DOI: 10.1002/oby.22594. View

3.
Glasheen W, Cordier T, Gumpina R, Haugh G, Davis J, Renda A . Charlson Comorbidity Index: Update and Translation. Am Health Drug Benefits. 2019; 12(4):188-197. PMC: 6684052. View

4.
Wadden T, Webb V, Moran C, Bailer B . Lifestyle modification for obesity: new developments in diet, physical activity, and behavior therapy. Circulation. 2012; 125(9):1157-70. PMC: 3313649. DOI: 10.1161/CIRCULATIONAHA.111.039453. View

5.
Hivert M, Grant R, Shrader P, Meigs J . Identifying primary care patients at risk for future diabetes and cardiovascular disease using electronic health records. BMC Health Serv Res. 2009; 9:170. PMC: 2753330. DOI: 10.1186/1472-6963-9-170. View