ABSTRACT Objective This study aimed to compare the effects of two lifestyle intervention programs for type 2 diabetes mellitus (T2DM) prevention – traditional or interdisciplinary psychoeducation-based intervention – in daily habits and cardiometabolic risk factors and investigate the role of the psychoeducational approach for the retention of individuals in the program. Subjects and methods Between 2008 and 2010, in a public health service, 183 pre-diabetic individuals were allocated to two 18-month interventions involving diet and physical activity. Physical activity, diet, quality of life (QOL) and depression and biochemical measurements were obtained. Linear mixed-effect models were used to assess the effect of the interventions. A student t test was used to compare dropouts versus non-dropouts. Results Improvements in energy intake and physical activity were greater in the interdisciplinary than the traditional intervention. A decrease in fat mass and blood pressure was more pronounced with interdisciplinary intervention. Dropouts from the traditional intervention only had higher BMI and lower fiber intake and QOL than non-dropouts. Conclusion The interdisciplinary psychoeducation-based intervention revealed useful for reducing cardiometabolic risk and retaining individuals with worse health profiles. This approach represents a feasible strategy for motivating high-risk individuals to adopt a long-term healthy lifestyle.

O objetivo deste estudo foi descrever a metodologia e a implementação de programa de mudanças no estilo de vida em indivíduos de risco cardiometabólico, usuários da rede pública de saúde em São Paulo. O Programa de Prevenção de Diabetes Mellitus (PDM) visa à melhora do quadro metabólico global de indivíduos com pré-diabetes ou síndrome metabólica sem diabetes, tendo como metas redução mínima de 5% do peso corporal inicial, consumo > 20 g de fibras alimentares e < 10% de gorduras saturadas por dia, além de prática > 150 minutos de atividade física por semana. A primeira edição do PDM apresentou duração de 18 meses e contou com equipe interdisciplinar (endocrinologista, psicóloga, nutricionista e educador físico) para o planejamento e realização de sessões em grupo com os participantes. A estrutura e a sistemática das sessões foram planejadas utilizando abordagem psicoeducativa para facilitar o processo de mudança de hábitos de vida. Com base na experiência com o PDM, algumas reflexões e recomendações são apontadas. Este estudo aponta caminhos para que profissionais da saúde possam juntos adaptar programas locais para promoção de hábitos de vida saudáveis, atuando sob uma nova perspectiva.

The objective this study was to describe the methodology and implementation of lifestyle change program in individuals at cardiometabolic risk seen at the public health system in Sao Paulo. The Programa de Prevenção de Diabetes Mellitus (PDM) aims at improving the overall metabolic profile of individuals with prediabetes or metabolic syndrome without diabetes; its goals were > 5% weight loss, dietary fiber intake > 20 g per day, saturated fatty acids intake < 10% per day, and > 150 minutes of physical activity per week. The first edition of the PDM lasted 18 months and involved an interdisciplinary team (endocrinologist, psychologist, nutritionist, and physical educator) to plan and conduct group sessions with the participants. The structure and systematic of the sessions were planned using a psychoeducative approach in order to facilitate the process of lifestyle changes. Based on the Experience with the PDM, some reflections and recommendations are made. This study may indicate ways for health professionals to tailor local care conditions and promote a healthy lifestyle, working with a new perspective.

OBJETIVO: Este estudo comparou parâmetros antropométricos e de resistência à insulina de indivíduos sem e com síndrome metabólica (SM), subestratificados pela presença de anormalidades glicêmicas. SUJEITOS E MÉTODOS: Foram incluídos 454 indivíduos (66% mulheres, 54% brancos), sendo 155 alocados para o grupo 1 (sem SM, sem anormalidade glicêmica), 32 para o grupo 2 (sem SM, com anormalidade glicêmica), 104 no grupo 3 (com SM, sem anormalidade glicêmica) e 163 no grupo 4 (com SM e anormalidade glicêmica). Os grupos foram comparados por ANOVA. RESULTADOS: Os grupos com SM (3 e 4) apresentaram os piores perfis antropométrico e lipídico; no grupo 2, apesar de glicemias significantemente mais elevadas, as médias das variáveis antropométricas e lipídicas não diferiram do grupo 1. Os maiores valores médios de HOMA-IR foram encontrados nos grupos com SM, enquanto o grupo 2 apresentou o menor HOMA-β. A trigliceridemia foi a variável metabólica com coeficientes de correlação mais elevados com a antropometria. Porém, as correlações mais fortes foram da circunferência da cintura (r = 0,503) e da razão cintura-altura (r = 0,513) com o HOMA-IR (p < 0,01). CONCLUSÃO: Nossos achados revelam que, em amostra da população brasileira, qualquer das medidas antropométricas identifica indivíduos com SM, mas não parece capaz de diferenciar aqueles com distúrbio glicêmico. Reforçamos a relação mais forte das medidas de adiposidade central com resistência à insulina, sugerindo utilidade da razão cintura-altura. É possível que componente autoimune contribua para o comprometimento do metabolismo glicídico dos indivíduos do grupo 2.

OBJECTIVE: This study compared anthropometric measurements and insulin resistance indexes of individuals with or without metabolic syndrome (MS), stratified by the presence of glycemic abnormalities. SUBJECTS AND METHODS: 454 individuals (66% women, 54% Caucasians) were included, being 155 allocated to group 1 (without MS, without glycemic abnormality), 32 to group 2 (without MS, with glycemic abnormality), 104 to group 3 (with MS, without glycemic abnormality), and 163 to group 4 (with MS, with glycemic abnormality). Groups were compared by ANOVA. RESULTS: Those with MS (3 e 4) showed the worst anthropometric and lipid profiles; in group 2, despite higher plasma glucose levels, the mean values of anthropometric variables and lipids did not differ from group 1. The highest mean values of HOMA-IR were found in the groups with MS, while group 2 showed the lowest HOMA-β. Triglyceride was the metabolic variable with the highest correlation coefficients with anthropometry. However, the strongest correlations were those of waist circumference (r = 0.503) and waist-to-height ratio (r = 0.513) with HOMA-IR (p < 0.01). CONCLUSION: Our findings indicate that, in a sample of the Brazilian population, any anthropometric measure identifies individuals with MS, but such measurements seem to be unable to differentiate those with glycemic disturbance. We reinforce the strongest relationship of measures of central adiposity with insulin resistance, suggesting utility for the waist-to-height. An autoimmune component may be contributing to the deterioration of glucose metabolism of individuals from group 2.