Association of Moderate Coffee Intake with Self-Reported Diabetes among Urban Brazilians

Coffee has been associated with reductions in the risk of non-communicable chronic diseases (NCCD), including diabetes mellitus. Because differences in food habits are recognizable modifying factors in the epidemiology of diabetes, we studied the association of coffee consumption with type-2 diabetes in a sample of the adult population of the Federal District, Brazil. This cross-sectional study was conducted by telephone interview (n = 1,440). A multivariate analysis was run controlling for socio-behavioural variables, obesity and family antecedents of NCCD. A hierarchical linear regression model and a Poisson regression were used to verify association of type-2 diabetes and coffee intake. The independent variables which remained in the final model, following the hierarchical inclusion levels, were: first level—age and marital status; second level—diabetes and dyslipidaemias in antecedents; third level—cigarette smoking, supplement intake, body mass index; and fourth level—coffee intake (≤100 mL/d, 101 to 400 mL/day, and >400 mL/day). After adjusting hierarchically for the confounding variables, consumers of 100 to 400 mL of coffee/day had a 2.7% higher (p = 0.04) prevalence of not having diabetes than those who drank less than 100 mL of coffee/day. Compared to coffee intake of ≤100 mL/day, adults consuming >400 mL of coffee/day showed no statistically significant difference in the prevalence of diabetes. Thus, moderate coffee intake is favourably associated with self-reported type-2 diabetes in the studied population. This is the first study to show a relationship between coffee drinking and diabetes in a Brazilian population

Plantando, colhendo, vendendo, mas não comendo: práticas alimentares e de trabalho associadas à obesidade em agricultores familiares do Bonfim, Petrópolis, RJ.

Objetivo: verificar a prevalência de obesidade entre adultos das 86 famílias agricultoras de um bairro de Petrópolis, RJ, e analisar seus determinantes socioculturais. Métodos: estudo quantitativo e qualitativo sobre nutrição, práticas alimentares e de trabalho realizado em 2008. Dados antropométricos foram coletados por inquérito nutricional domiciliar e o material qualitativo por observação participante e entrevistas. Resultados: a prevalência de obesidade foi baixa (9,3%) entre os homens, mas bastante elevada entre as mulheres (29,9%). A prática agrícola local implica em atividade física leve para mulheres e intensa para homens. Essa diferença não é acompanhada na dieta, semelhante para homens e mulheres, com predomínio de alimentos de alto valor calórico. A produção familiar objetiva essencialmente a venda. A agricultura mercantil e a decorrente especialização dos cultivos favorecem comprar alimentos no mercado em vez de produzir para autoconsumo. Conclusão: os aspectos socioculturais e ocupacionais estudados podem ter contribuído para elevar a prevalência de obesidade nas mulheres e podem ser úteis no estudo de outros grupos com características semelhantes. Esta pesquisa ratifica a importância de estudar a obesidade em nível local, integrando abordagens quantitativas e qualitativas para identificar possíveis limitações e portas de entrada para ações de intervenção localmente relevantes

Regional heritability mapping method helps explain missing heritability of blood lipid traits in isolated populations

Single single-nucleotide polymorphism (SNP) genome-wide association studies (SSGWAS) may fail to identify loci with modest effects on a trait. The recently developed regional heritability mapping (RHM) method can potentially identify such loci. In this study, RHM was compared with the SSGWAS for blood lipid traits (high-density lipoprotein (HDL), low-density lipoprotein (LDL), plasma concentrations of total cholesterol (TC) and triglycerides (TG)). Data comprised 2246 adults from isolated populations genotyped using ∼300 000 SNP arrays. The results were compared with large meta-analyses of these traits for validation. Using RHM, two significant regions affecting HDL on chromosomes 15 and 16 and one affecting LDL on chromosome 19 were identified. These regions covered the most significant SNPs associated with HDL and LDL from the meta-analysis. The chromosome 19 region was identified in our data despite the fact that the most significant SNP in the meta-analysis (or any SNP tagging it) was not genotyped in our SNP array. The SSGWAS identified one SNP associated with HDL on chromosome 16 (the top meta-analysis SNP) and one on chromosome 10 (not reported by RHM or in the meta-analysis and hence possibly a false positive association). The results further confirm that RHM can have better power than SSGWAS in detecting causal regions including regions containing crucial ungenotyped variants. This study suggests that RHM can be a useful tool to explain some of the ‘missing heritability' of complex trait variation