Aims/hypothesisIntake of dietary fibre has been associated with a reduced risk of type 2 diabetes, but few European studies have been published on this. We evaluated the association between intake of dietary fibre and type 2 diabetes in the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct study and in a meta-analysis of prospective studies.MethodsDuring 10.8 years of follow-up, 11,559 participants with type 2 diabetes were identified and a subcohort of 15,258 participants was selected for the case-cohort study. Country-specific HRs were estimated using Prentice-weighted Cox proportional hazards models and were pooled using a random effects meta-analysis. Eighteen other cohort studies were identified for the meta-analysis.ResultsIn the EPIC-InterAct Study, dietary fibre intake was associated with a lower risk of diabetes (HRQ4 vs Q1 0.82; 95% CI 0.69, 0.97) after adjustment for lifestyle and dietary factors. Similar inverse associations were observed for the intake of cereal fibre and vegetable fibre, but not fruit fibre. The associations were attenuated and no longer statistically significant after adjustment for BMI. In the meta-analysis (19 cohorts), the summary RRs per 10 g/day increase in intake were 0.91 (95% CI 0.87, 0.96) for total fibre, 0.75 (95% CI 0.65, 0.86) for cereal fibre, 0.95 (95% CI 0.87, 1.03) for fruit fibre and 0.93 (95% CI 0.82, 1.05) for vegetable fibre.Conclusions/interpretationThe overall evidence indicates that the intake of total and cereal fibre is inversely related to the risk of type 2 diabetes. The results of the EPIC-InterAct Study suggest that the association may be partially explained by body weight.Electronic supplementary materialThe online version of this article (doi:10.1007/s00125-015-3585-9) contains peer-reviewed but unedited supplementary material, which is available to authorised users.

BIA-estimated percentage of BF varies greatly with population and age. BIA-estimated BF% is directly and closely related to various health outcomes such as CVDs, which is in contrast to BMI where both high and low BMIs are associated with increased risk of developing chronic diseases. Studies, among others using BIA, suggest that low BMI may reflect low muscle and high BMI fat mass (FM). BIA-derived lean and FM is directly associated with morbidity and mortality. To the contrary, BMI is rather of limited use for measuring BF% in epidemiological studies.

Estudo transversal com o objetivo de investigar a associação entre comportamento sedentário e consumo de alimentos ultraprocessados (AUP) em adolescentes brasileiros. Foram utilizados dados da Pesquisa Nacional de Saúde do Escolar (PeNSE) realizada em 2015. O consumo diário de pelo menos um grupo de AUP representou o desfecho, e a exposição principal foi o tempo diário de comportamento sedentário (horas em atividades sentado, excluído o tempo dispendido na escola). Foram calculadas prevalências, razões de prevalências e intervalos de 95% de confiança (IC95%). As análises foram ajustadas para sexo, idade, cor da pele, escolaridade materna, índice de bens, região geográfica e dependência administrativa da escola. Cerca de 40% dos escolares reportaram consumo diário de pelo menos um grupo de AUP (39,7%; IC95%: 39,2-40,3) e 68,1% (IC95%: 67,7-68,7) referiram > 2 horas/dia de comportamento sedentário. Entre os escolares com comportamento sedentário > 2 horas/dia, a prevalência de consumo diário de AUP foi de 42,8% (IC95%: 42,1-43,6%), maior do que entre os sem comportamento sedentário (29,8%; IC95%: 29,0-30,5%). Quanto maior o tempo de comportamento sedentário, maior a prevalência de consumo de AUP (valor de p para tendência linear < 0,001). Estratégias que promovam a alimentação saudável e a diminuição de comportamentos sedentários, bem como regulamentações da publicidade de AUP, tornam-se necessárias a fim de evitar que estilos de vida não saudáveis perdurem à idade adulta.

Strategies that incentivize family members and friends to provide social support to the elderly for physical activity focusing on joint practice must be encouraged.

BackgroundCompared to food patterns, nutrient patterns have been rarely used particularly at international level. We studied, in the context of a multi-center study with heterogeneous data, the methodological challenges regarding pattern analyses.Methodology/Principal FindingsWe identified nutrient patterns from food frequency questionnaires (FFQ) in the European Prospective Investigation into Cancer and Nutrition (EPIC) Study and used 24-hour dietary recall (24-HDR) data to validate and describe the nutrient patterns and their related food sources. Associations between lifestyle factors and the nutrient patterns were also examined. Principal component analysis (PCA) was applied on 23 nutrients derived from country-specific FFQ combining data from all EPIC centers (N = 477,312). Harmonized 24-HDRs available for a representative sample of the EPIC populations (N = 34,436) provided accurate mean group estimates of nutrients and foods by quintiles of pattern scores, presented graphically. An overall PCA combining all data captured a good proportion of the variance explained in each EPIC center. Four nutrient patterns were identified explaining 67% of the total variance: Principle component (PC) 1 was characterized by a high contribution of nutrients from plant food sources and a low contribution of nutrients from animal food sources; PC2 by a high contribution of micro-nutrients and proteins; PC3 was characterized by polyunsaturated fatty acids and vitamin D; PC4 was characterized by calcium, proteins, riboflavin, and phosphorus. The nutrients with high loadings on a particular pattern as derived from country-specific FFQ also showed high deviations in their mean EPIC intakes by quintiles of pattern scores when estimated from 24-HDR. Center and energy intake explained most of the variability in pattern scores.Conclusion/SignificanceThe use of 24-HDR enabled internal validation and facilitated the interpretation of the nutrient patterns derived from FFQs in term of food sources. These outcomes open research opportunities and perspectives of using nutrient patterns in future studies particularly at international level.