Background-The increasing prevalence of overweight and obesity underscore the need for evidence-based, easily disseminable interventions for weight management that can be delivered on a population basis. The Transtheoretical Model (TTM) offers a promising theoretical framework for multiple behavior weight management interventions.
An estimated 60% of individuals prescribed lipid-lowering medications are nonadherent. Failure to adhere increases morbidity, mortality, healthcare utilization, and healthcare costs. This study examined the effectiveness of a population-based, individualized Transtheoretical Model (TTM) expert system intervention to improve adherence and increase exercise and diet in a randomized 18-month trial involving 404 adults. Compared to usual care, treatment participants who started in a pre-action stage were significantly more likely to be in the Action and Maintenance (A/M) stages for adherence at end of treatment (55.3% versus 40%, z = 2.11, p < 0.05, h = 0.31) and at 18-months (56% versus 37.8%, z = 2.38, p < 0.01, h = 0.36). The treatment group scored significantly better on two measures of adherence at six and 12 months post-treatment (all p < 0.05, odds ratios [OR] 1.49-3.67). Among those who began in A/M, treatment participants were significantly more likely to remain in A/M at 18 months (85.2% versus 55.6%, z = 2.63, p < 0.01, h = 0.67). Those receiving treatment were significantly more likely to progress to A/M for exercise and dietary fat reduction (43.3% versus 24.7% for exercise, and 24.7% versus 12.5% for diet). TTM expert system interventions can have a significant impact on entire populations for adherence. Results for dietary fat and exercise suggest covariation of treatment effects.
Successful adoption of interventions depends upon strong formative research, participatory research methods, interdisciplinary collaboration, and a commitment to dissemination from project inception. The development of the intervention discussed serves as a useful and practical example for others working in health care and behavioral medicine to improve the overall health and well-being of the underserved.
With acceptability and feasibility confirmed, the next steps are to test efficacy and consequently to distribute the program to populations of underserved pregnant women.
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