Pouchieu Camille, Méjean Caroline, Andreeva Valentina A, Kesse-Guyot Emmanuelle, Fassier Philippine, Galan Pilar, Hercberg Serge, Touvier Mathilde
Sorbonne Paris Cité, Epidemiology and Biostatistics Research Center, Nutritional Epidemiology Research Team (EREN), Inserm U1153; Inra U1125; Cnam; Paris 13, 7 and 5 Universities, Bobigny cedex, France.
J Med Internet Res. 2015 Feb 2;17(2):e34. doi: 10.2196/jmir.3813.
In spite of the growing literature in the field of e-epidemiology, clear evidence about computer literacy or attitudes toward respondent burden among e-cohort participants is largely lacking.
We assessed the computer and Internet skills of participants in the NutriNet-Santé Web-based cohort. We then explored attitudes toward the study demands/respondent burden according to levels of computer literacy and sociodemographic status.
Self-reported data from 43,028 e-cohort participants were collected in 2013 via a Web-based questionnaire. We employed unconditional logistic and linear regression analyses.
Approximately one-quarter of participants (23.79%, 10,235/43,028) reported being inexperienced in terms of computer use. Regarding attitudes toward participant burden, women tended to be more favorable (eg, "The overall website use is easy") than were men (OR 0.65, 95% CI 0.59-0.71, P<.001), whereas better educated participants (>12 years of schooling) were less likely to accept the demands associated with participation (eg, "I receive questionnaires too often") compared to their less educated counterparts (OR 1.62, 95% CI 1.48-1.76, P<.001).
A substantial proportion of participants had low computer/Internet skills, suggesting that this does not represent a barrier to participation in Web-based cohorts. Our study also suggests that several subgroups of participants with lower computer skills (eg, women or those with lower educational level) might more readily accept the demands associated with participation in the Web cohort. These findings can help guide future Web-based research strategies.
尽管电子流行病学领域的文献不断增加,但关于电子队列参与者的计算机素养或对受访者负担的态度的明确证据仍非常缺乏。
我们评估了NutriNet-Santé基于网络的队列研究参与者的计算机和互联网技能。然后,我们根据计算机素养水平和社会人口统计学状况,探讨了对研究要求/受访者负担的态度。
2013年通过基于网络的问卷收集了43028名电子队列参与者的自我报告数据。我们采用了无条件逻辑回归和线性回归分析。
约四分之一的参与者(23.79%,10235/43028)报告称在计算机使用方面缺乏经验。关于对参与者负担的态度,女性往往比男性更倾向于积极态度(例如,“网站整体使用很容易”)(比值比0.65,95%置信区间0.59-0.71,P<0.001),而受教育程度较高(受教育年限>12年)的参与者与受教育程度较低的参与者相比,接受参与相关要求(例如,“我收到问卷太频繁”)的可能性较小(比值比1.62,95%置信区间1.48-1.76,P<0.001)。
相当一部分参与者的计算机/互联网技能较低,这表明这并不构成参与基于网络的队列研究的障碍。我们的研究还表明,一些计算机技能较低的参与者亚组(例如,女性或教育水平较低的人)可能更容易接受参与网络队列研究的相关要求。这些发现有助于指导未来基于网络的研究策略。