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Despite some advantages over traditional methods, Web-based studies elicit concerns about generalizability. To address this issue, we compared dietary intakes between an electronic (e-) cohort study and a nationally representative survey. We studied 49,443 French volunteers aged 18-74 years recruited during 2009-2010 in the NutriNet-Santé Study, a general population-based e-cohort study. The Etude Nationale Nutrition Santé (ENNS; 2006-2007), a cross-sectional study with a nationally representative sample of 2,754 French adults aged 18-74 years, served as the reference data set. Reported dietary intakes from three 24-hour dietary records were weighted and compared between the two studies via Student t tests for mean location, using a >5% cutoff for establishing practically meaningful differences. We observed similar intakes as regards carbohydrates, total lipids, protein, and total energy. However, intakes of fruit and vegetables, fiber, vitamins B6, B9, C, D, and E, iron, and magnesium were higher in the e-cohort than in the ENNS, while intakes of alcohol and nonalcoholic beverages were lower in the e-cohort. Significant sex-specific differences were observed regarding vitamins A and B12, zinc, and potassium. True intake differences, mode effects, and volunteer bias might each contribute to explaining the findings. In the future, repeated use of the same tool in large e-cohorts with heterogeneous dietary exposures could serve research purposes and supplement group-level monitoring of dietary trends. [ABSTRACT FROM AUTHOR]

Background In France, the overall trend in the incidence of cardiovascular disease is unfavourable, especially in young subjects. This highlights the need to promote cardiovascular health by targeting the main risk factors. Social marketing campaigns to improve cardiovascular health should identify unhealthy behaviour and understand the target audience. The objective of this study was to identify poor cardiovascular health profiles in the French population using a clustering method. Methods Subjects aged 18–74 years with no history of cardiovascular disease were included from the Esteban cross-sectional survey (2014–16). To evaluate cardiovascular health, seven items were considered as defined by the American Heart Association: blood glucose, blood cholesterol, blood pressure, body mass index, cigarette smoking, diet and physical activity. Cardiovascular health profiles were identified from these seven items by combining multiple correspondence analysis with hierarchical clustering and partitioning. Results A total of 1673 subjects were included in the main analysis. Five cardiovascular health profiles were identified: two profiles corresponded to subjects with poor cardiovascular health (mainly older men with a low socioeconomic status), two to subjects with intermediate cardiovascular health (one mainly comprised of young women with a low socioeconomic status and the other of young subjects with a high socioeconomic status) and one to subjects with good cardiovascular health (mainly older women). Conclusion This description of cardiovascular health profiles, which led to the identification and characterization of target audiences for future population-based prevention campaigns, should be the starting point for improving cardiovascular health in the French population. [ABSTRACT FROM AUTHOR]

Background A recurring concern in traditional and in Web-based studies pertains to non-representativeness due to volunteer bias. We investigated this issue in an ongoing, large population-based e-cohort. Methods The sample included 122 912 individuals enrolled in the Internet-based, nutrition-focused NutriNet-Santé study between May 2009 and March 2014, with complete baseline data. Participants were recruited via recurrent multimedia campaigns and other traditional and online strategies. Individuals aged 18+ years, residing in France and having Internet access, were eligible for enrolment. Their sociodemographic characteristics were compared with the corresponding 2009 Census data via χ2 goodness-of-fit tests. The effectiveness of statistical weighting of the e-cohort data was also explored. Results The sample exhibited marked geographical and sociodemographic diversity, including volunteers belonging to typically under-represented subgroups in traditional surveys (unemployed, immigrants, the elderly). Nonetheless, the proportions of women, relatively welleducated individuals and those who are married or cohabiting, were notably larger compared with the corresponding national figures (women: 78.0% vs 52.4%; postsecondary education: 61.5% vs 24.9%; married or cohabiting: 70.8% vs 62.0%, respectively; all p<0.0001). Conclusions There were notable sociodemographic differences between the general French population and this general population-based e-cohort, some of which were corrected by statistical weighting. The findings bear on the potential generalisability of future investigations in the context of e-epidemiology. [ABSTRACT FROM AUTHOR]