Goldstein, M., DePue, J. et al. (2005). Stage-based expert systems to guide a population of primary care patients to quit smoking, eat healthier, prevent skin cancer and receive regular mammograms.

The goal of evidence-based medicine is ultimately to improve patient outcomes and quality of care. Systematic reviews of the available published evidence are required to identify interventions that lead to improvements in behavior, health, and well-being. Authoritative literature reviews depend on the quality of published research and research reports. The Consolidated Standards for Reporting Trials (CONSORT) Statement (www.consort-statement.org) was developed to improve the design and reporting of interventions involving randomized clinical trials (RCTs) in medical journals. We describe the 22 CONSORT guidelines and explain their application to behavioral medicine research and to evidence-based practice. Additional behavioral medicine-specific guidelines (e.g., treatment adherence) are also presented. Use of these guidelines by clinicians, educators, policymakers, and researchers who design, report, and evaluate or review RCTs will strengthen the research itself and accelerate efforts to apply behavioral medicine research to improve the processes and outcomes of behavioral medicine practice.

Background: The efficacy of a home-based physical activity (PA) intervention for colorectal cancer patients versus contact control was evaluated in a randomized controlled trial.Methods: Forty-six patients (mean age = 57.3 years [SD = 9.7], 57% female, mean = 2.99 years post-diagnosis [SD = 1.64]) who had completed treatment for stages 1-3 colorectal cancer were randomized to telephone counseling to support PA (PA group, n = 20) or contact control (control group, n = 26). PA group participants received 3 months of PA counseling (based on the transtheoretical model and the social cognitive theory) delivered via telephone, as well as weekly PA tip sheets. Assessments of PA (Seven-day Physical Activity Recall and Community Healthy Activities Model Program for Seniors [CHAMPS]), submaximal aerobic fitness (Treadwalk test), motivational readiness for PA, and psychosocial outcomes were conducted at baseline, 3, 6, and 12 months post-baseline. Objective accelerometer data were collected at the same time points.Results: The PA group reported significant increases in minutes of PA at 3 months (7-day PAR) and caloric expenditure (CHAMPS) compared with the control group, but the group differences were attenuated over time. The PA group showed significant improvements in fitness at 3, 6, and 12 months versus the control group. Improvements in motivational readiness for PA were reported in the PA group only at 3 months. No significant group differences were found for fatigue, self-reported physical functioning, and quality of life at 3, 6, and 12 months.Conclusion: A home-based intervention improved survivors' PA and motivational readiness at 3 months and increased submaximal aerobic fitness at 3, 6, and 12 months.

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Lifestyle changes related to obesity, eating behavior, and physical activity R E V I E W A R T I C L ELifestyle factors related to obesity, eating behavior, and physical activity play a major role in the prevention and treatment of type 2 diabetes. In recent years, there has been progress in the development of behavioral strategies to modify these lifestyle behaviors. Further research, however, is clearly needed, because the rates of obesity in our country are escalating, and changing behavior for the long term has proven to be very difficult. This review article, which grew out of a National Institute of Diabetes and Digestive and Kidney Diseases conference on behavioral science research in diabetes, identifies four key topics related to obesity and physical activity that should be given high priority in future research efforts: 1) environmental factors related to obesity, eating, and physical activity; 2) adoption and maintenance of healthful eating, physical activity, and weight; 3) etiology of eating and physical activity; and 4) multiple behavior changes. This review article discusses the significance of each of these four topics, briefly reviews prior research in each area, identifies barriers to progress, and makes specific research recommendations. Diabetes Care R e v i e w s / C o m m e n t a r i e s / P o s i t i o n S t a t e m e n t s 118DIABETES CARE, VOLUME 24, NUMBER 1, JANUARY 2001Lifestyle changes and diabetes help in the treatment of diabetes. Weight loss and exercise have both been shown to decrease insulin resistance, a major physiological defect related to the development of diabetes, and to improve glycemic control (11,12). These interventions also ameliorate hypertension and lipid abnormalities and thus may contribute to reduction in risk of coronary heart disease (CHD) in individuals with type 2 diabetes (12). Given that behaviors (namely diet and physical activity) are among the strongest risk factors for type 2 diabetes (1) and a key aspect of its treatment, it is important that behavioral research focus on how best to change these behaviors. Four key areas have been identified for future research related to lifestyle modification. ENVIRONMENTAL FACTORS RELATED TO OBESITY, OVEREATING, AND PHYSICAL INACTIVITYWhy is this topic significant? As noted above, differences in lifestyle appear to be related to the differential rates of diabetes and obesity across cultures and within our own culture over time (13). These differences in behavior may, in turn, reflect differences in the macroenvironment. Evidence indicating the importance of the environment is seen, for example, in studies comparing Pima Indians, who live in rural Mexico and follow a traditional Pima lifestyle, with Pima Indians living in Arizona, who consume a Westernized diet and are more sedentary (14). Despite the apparent similarity in genetic background of these two Pima communities, the Mexican Pimas have markedly lower rates of obesity and diabetes than the Arizona Pimas. Many other examples of the negative effects of West...

Cigarette smokers with past major depressive disorder (MDD) received 8 group sessions of standard, cognitive-behavioral smoking cessation treatment (ST; n = 93) or standard, cognitive-behavioral smokiig cessation treatment plus cognitive-behavioral treatment for depression (CBT-D; n = 86). Although abstinence rates were high in both conditions (ST, 24.7%; CBT-D, 32.5%, at 1 year) for these nonpharmacological treatments, no main effect of treatment was found. However, secondary analyses revealed significant interactions between treatment condition and both recurrent depression history and heavy smoking ( > or =25 cigarettes a day) at baseline. Smokers with recurrent MDD and heavy smokers who received CBT-D were significantly more likely to be abstinent than those receiving ST (odds ratios = 2.3 and 2.6, respectively). Results suggest that CBT-D provides specific benefits for some, but not all, smokers with a history of MDD.

There is an increasing momentum to integrate prevention into mainstream health care. Three decades of research on tobacco dependence can provide insights into the conceptual, clinical, economic, and service delivery challenges to such an integration. Biological sciences, cognitive-behavioral, clinical treatment outcome, and public health arenas are selectively reviewed. The key conceptual issues are explored relevant to the optimal delivery of quality smoking cessation treatments for the general population of adult smokers at reasonable cost. A comprehensive model for adult smoking cessation treatment is developed. The model consists of an overarching public health approach, focusing on enhancing motivational level from low motivation to quit to high motivation. A common outcome metric of overall impact is proposed to facilitate comparisons between clinical and public health interventions. Smokers are then assessed and triaged into one of three treatment steps of minimal, moderate, and maximal intensity and cost. Smoker individual differences at both the population and individual level are also taken into account as part of a tailoring or matching strategy within and across the stepped interventions. Smoker profiles include sociocultural, nicotine dependence, and comorbidity factors. The result is a hybrid stepped-care matching model. The model serves to illustrate some of the needs and challenges facing future tobacco dependence research and practice. Comparisons are made between tobacco control and other preventive medicine practices in terms of cost per quality adjusted life-year saved. The barriers and opportunities under managed care are explored. The conceptual principles identified here could be used as a guidepost for integrating other preventive medicine programs into the evolving managed health care system.