Comparison of the sociodemographic characteristics of the large NutriNet-Santé e-cohort with French Census data: the issue of volunteer bias revisited

Andreeva, Valentina A.; Salanave, Benoît; Castetbon, Katia; Deschamps, Valérie; Vernay, Michel; Kesse‐Guyot, Emmanuelle; Herçberg, Serge

doi:10.1136/jech-2014-205263

Cited by 156 publications

(137 citation statements)

References 28 publications

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“…Our findings are based on 12 studies investigating characteristics and representativeness of the sample [28], comparison of dietary data with national findings [31], recruitment [32], motives for participation [33], Internet or computer skills [34], and quality of the data [23-27,35,36]. …”

Section: Resultsmentioning

confidence: 99%

“…In order to provide a detailed presentation of the sociodemographic profiles of the study population, characteristics of 122,912 NutriNet-Santé participants (recruited between 2009 and 2014) were compared with data from the French 2009 Census [28]. Moreover, the impact of a statistical weighting method developed to enhance the representativeness of descriptive or analytical results was evaluated, using the SAS macro “CALMAR (CALage sur MARges)” provided by the Institut national de la statistique et des études économiques (INSEE) [29].…”

Section: Methodsmentioning

confidence: 99%

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Lessons Learned From Methodological Validation Research in E-Epidemiology

Kesse‐Guyot¹,

Assmann²,

Andreeva³

et al. 2016

JMIR Public Health Surveill

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BackgroundTraditional epidemiological research methods exhibit limitations leading to high logistics, human, and financial burden. The continued development of innovative digital tools has the potential to overcome many of the existing methodological issues. Nonetheless, Web-based studies remain relatively uncommon, partly due to persistent concerns about validity and generalizability.ObjectiveThe objective of this viewpoint is to summarize findings from methodological studies carried out in the NutriNet-Santé study, a French Web-based cohort study.MethodsOn the basis of the previous findings from the NutriNet-Santé e-cohort (>150,000 participants are currently included), we synthesized e-epidemiological knowledge on sample representativeness, advantageous recruitment strategies, and data quality.ResultsOverall, the reported findings support the usefulness of Web-based studies in overcoming common methodological deficiencies in epidemiological research, in particular with regard to data quality (eg, the concordance for body mass index [BMI] classification was 93%), reduced social desirability bias, and access to a wide range of participant profiles, including the hard-to-reach subgroups such as young (12.30% [15,118/122,912], <25 years) and old people (6.60% [8112/122,912], ≥65 years), unemployed or homemaker (12.60% [15,487/122,912]), and low educated (38.50% [47,312/122,912]) people. However, some selection bias remained (78.00% (95,871/122,912) of the participants were women, and 61.50% (75,590/122,912) had postsecondary education), which is an inherent aspect of cohort study inclusion; other specific types of bias may also have occurred.ConclusionsGiven the rapidly growing access to the Internet across social strata, the recruitment of participants with diverse socioeconomic profiles and health risk exposures was highly feasible. Continued efforts concerning the identification of specific biases in e-cohorts and the collection of comprehensive and valid data are still needed. This summary of methodological findings from the NutriNet-Santé cohort may help researchers in the development of the next generation of high-quality Web-based epidemiological studies.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Lessons Learned From Methodological Validation Research in E-Epidemiology

Kesse‐Guyot¹,

Assmann²,

Andreeva³

et al. 2016

JMIR Public Health Surveill

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View full text Add to dashboard Cite

show abstract

“…This was not unexpected, given our prior experience and the large number of questionnaires administered in this e-cohort 41 42. It should be noted, however, that a comparison with national Census figures has revealed differences between the general French population and the NutriNet-Santé e-cohort, especially regarding marital status and the proportions of women and relatively well-educated individuals 43. Finally, the findings regarding restrictive ED in men should be interpreted with caution due to the small number of cases and the subsequent unstable estimates.…”

Section: Discussionmentioning

confidence: 93%

Sociodemographic correlates of eating disorder subtypes among men and women in France, with a focus on age

Andreeva

Tavolacci

Galán

et al. 2018

J Epidemiol Community Health

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BackgroundOn the population level, the association of age and other sociodemographic factors with eating disorders (ED) is unclear.MethodsWe used cross-sectional data from the French general population-based NutriNet-Santé e-cohort (n=49 603 adults; 76.3% women; mean age=50.4±14.6 years). ED were evaluated in 2014 with the 5-item SCOFF screening questionnaire and the Expali algorithmic tool. Likely cases of restrictive, bulimic, hyperphagic and other ED were the dependent variables. Age, marital status, education, occupation, physical activity and smoking were the independent variables. Associations were estimated via gender-stratified multivariable polytomous logistic regression.ResultsAmong women, age displayed inverse linear associations with both restrictive and bulimic ED, underscoring 18–25 years as the most vulnerable period (adjusted OR=3.37, 95% CI: 2.24 to 5.08 for restrictive ED; adjusted OR=2.98, 95% CI: 2.37 to 3.74 for bulimic ED, respectively). A similar association was observed in men regarding bulimic ED. In women, age was not associated with hyperphagic ED for which living alone, low education, low physical activity, being a homemaker/disabled/unemployed/retired, a manual worker or a former/current smoker had increased importance. In men, 18–39 years emerged as the least vulnerable period regarding hyperphagic ED (adjusted OR=0.74, 95% CI: 0.56 to 0.99). Across gender, having postsecondary education had significant inverse associations with all except restrictive ED, whereas being a student had a significant positive association with restrictive ED.ConclusionsThe findings support gender-specific associations of age with four ED subtypes and could inform future prevention initiatives targeting specific ED among specific age groups.Trial registration numberNCT03335644; Pre-results.

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“…Moreover, a prior study comparing the sociodemographic characteristics of the NutriNet-Santé volunteers with the corresponding national estimates (2009 French Census), revealed convergence regarding the geographical distribution and divergence regarding the sex distribution and educational level, with the cohort including higher proportions of women and relatively well-educated individuals compared with the national figures [46]. Likewise, the proportion of individuals aged 65+ years was over three times smaller in the cohort than in the general population [46]. In turn, despite decreasing sociodemographic disparities, the proportion of elderly Internet users is smaller than the respective proportions of young and middle-aged users.…”

Section: Discussionmentioning

confidence: 99%

Sex-Specific Sociodemographic Correlates of Dietary Patterns in a Large Sample of French Elderly Individuals

et al. 2016

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This cross-sectional analysis provides up-to-date information about dietary patterns (DP) and their sociodemographic correlates in European elderly individuals. We studied 6686 enrollees aged 65+ (55% women) in the ongoing French population-based NutriNet-Santé e-cohort. Diet was assessed via three 24 h records. The sex-specific correlates of factor analysis derived DP were identified with multivariable linear regression. Using 22 pre-defined food groups, three DP were extracted. The “healthy” DP (fruit, vegetables, grains, nuts, fish) was positively associated with education, living alone, and being a former smoker (women), and negatively associated with being overweight, current smoker (men), age 75+ years, having hypertension, and obesity (women). The “western” DP (meat, appetizers, cheese, alcohol) was positively associated with BMI (men) and being a former/current smoker; it was negatively associated with age 75+ years (women) and living alone. The “traditional” DP (bread, potatoes, milk, vegetables, butter, stock) was positively associated with age and negatively associated with being a former/current smoker, education (men), and residing in an urban/semi-urban area. The findings support the diversity of DP among the elderly, highlighting sex-specific differences. The “healthy” DP explained the largest amount of variance in intake. Future studies could replicate the models in longitudinal and international contexts.

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Comparison of the sociodemographic characteristics of the large NutriNet-Santé e-cohort with French Census data: the issue of volunteer bias revisited

Cited by 156 publications

References 28 publications

Lessons Learned From Methodological Validation Research in E-Epidemiology

Lessons Learned From Methodological Validation Research in E-Epidemiology

Sociodemographic correlates of eating disorder subtypes among men and women in France, with a focus on age

Sex-Specific Sociodemographic Correlates of Dietary Patterns in a Large Sample of French Elderly Individuals

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