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Method: Four effect-size algorithms were calculated for published intervention cases, and results analysed and compared to previous findings by behaviour target, intervention type, and other factors.Results: The evidence largely supports intervention effectiveness, with some inconsistency reflecting the fact that the four metrics assess different aspects of change.Pooled Analysis of Change in Weight at 24 Months in Behavior-Based Weight Loss Interventions Compared With Controls (Key Question 2)e Figure 3. doi:10.1016/j.amepre.20Pub Med Google Scholar Crossref Steeves JA, Liu B, Willis G, Lee R, Smith AW. doi:10.1016/20Pub Med Google Scholar Crossref Kraschnewski JL, Sciamanna CN, Stuckey HL, et al. doi:10.1097/MLR.0b013e3182726c33Pub Med Google Scholar Crossref Ma J, Xiao L, Yank V. doi:10.1002/oby.20285Pub Med Google Scholar Crossref Simkin-Silverman LR, Gleason KA, King WC, et al. doi:10.1016/j.ypmed.20Pub Med Google Scholar Crossref Stafford RS, Farhat JH, Misra B, Schoenfeld DA. doi:10.1001/archfami.9.7.631Pub Med Google Scholar Crossref Moyer VA; U. Pooled Analysis of Change in Weight at 12-18 Months in Behavior-Based Weight Maintenance Interventions Compared With Controls (Key Question 2)e Figure 4. primary care physicians’ diet-, physical activity-, and weight-related care of adult patients. Physicians’ personal beliefs about weight-related care and their associations with care delivery: the U. National Survey of Energy Balance Related Care Among Primary Care Physicians. A silent response to the obesity epidemic: decline in US physician weight counseling. Variations between obese Latinos and whites in weight-related counseling during preventive clinical visits in the United States. Predictors of weight control advice in primary care practices: patient health and psychosocial characteristics. National patterns of physician activities related to obesity management.

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