EARLY TWO-THIRDS OF US adults are overweight or obese. 1 Together overweight and obesity are the second leading cause of preventable death, primarily through effects on car-diovascular disease (CVD) risk factors (hypertension, dyslipidemia, and type 2 diabetes). 2 Weight loss improves these risk factors, and evidence suggests that benefits persist as long as weight loss is maintained. [3][4][5][6][7][8] Relatively short-term (ie, 4-6 months) behavioral interventions for adults re-sult in clinically significant weight loss, but regain is an intractable problem. [9][10][11] Given the vast scope of the over-Author Affiliations are listed at the end of this article.

Background-To improve methods for long-term weight management, the Weight Loss Maintenance (WLM) trial, a four-center randomized trial, was conducted to compare alternative strategies for maintaining weight loss over a 30-month period. This paper describes methods and results for the initial 6-month weight-loss program (Phase I).

A randomized trial of falls prevention program that addressed home safety, exercise, and behavioral risks was conducted with 3,182 independently living HMO members age 65 and older. The intervention decreased the odds of falling by 0.85, but only reduced the average number of falls among those who fell by 7%. The effect was strongest among men age 75 and older. The likelihood of avoiding falls requiring medical treatment was not significantly affected by the intervention. We conclude that the intervention dose was not of sufficient intensity or duration to have a marked protective effect on older persons. Future research should focus on more intensive intervention approaches because serious falls do not appear to be amendable to low-intensity environment/behavioral efforts.

This article reviews short-term (6 months) and longer term (12-24 months) maintenance of cessation and relapse in adult smokers and the factors and treatments that affect these outcomes. MedLine and PsycLIT searches were done for research published in English between 1988 and 1998 meeting a defined set of criteria. Intensive intervention, telephone counseling, and use of pharmacotherapy were found to improve outcomes; however, compared with public health approaches, they reach relatively few smokers. Brief interventions during medical visits are cost-effective and could potentially reach most smokers but are not consistently delivered. Predictors of relapse include slips, younger age, nicotine dependence, low self-efficacy, weight concerns, and previous quit attempts. Potential areas for research, recommendations for longer follow-up assessments, and standard definitions for slip, relapse, and long-term maintenance are discussed.

Aims/hypothesis Insulin resistance (IR) improves with weight loss, but this response is heterogeneous. We hypothesised that metabolomic profiling would identify biomarkers predicting changes in IR with weight loss. Methods Targeted mass spectrometry-based profiling of 60 metabolites, plus biochemical assays of NEFA, β-hydroxybutyrate, ketones, insulin and glucose were performed in baseline and 6 month plasma samples from 500 participants who had lost ≥4 kg during Phase I of the Weight Loss Maintenance (WLM) trial. Homeostatic model assessment of insulin resistance (HOMA-IR) and change in HOMA-IR with weight loss (ΔHOMA-IR) were calculated. Principal components analysis (PCA) and mixed models adjusted for race, sex, baseline weight, and amount of weight loss were used; findings were validated in an independent cohort of patients (n=22). Results Mean weight loss was 8.67±4.28 kg; mean ΔHOMA-IR was −0.80±1.73, range −28.9 to 4.82). Baseline PCA-derived factor 3 (branched chain amino acids [BCAAs] and associated catabolites) correlated with baseline HOMA-IR (r=0.50, p<0.0001) and independently associated with ΔHOMA-IR (p<0.0001). ΔHOMA-IR increased in a linear fashion with increasing baseline factor 3 quartiles. Amount of weight loss was only modestly correlated with ΔHOMA-IR (r=0.24). These findings were validated in the independent cohort, with a factor composed of BCAAs and related metabolites predicting ΔHOMA-IR (p=0.007). Conclusions/interpretation A cluster of metabolites comprising BCAAs and related analytes predicts improvement in HOMA-IR independent of the amount of weight lost. These results may help identify individuals most likely to benefit from moderate weight loss and elucidate novel mechanisms of IR in obesity.