title: When epidemiology meets the Internet: Web-based surveys in the Millennium Cohort Study.
abstract: Almost 60% of American households were connected to the Internet in 2001, when the Millennium Cohort Study, the largest longitudinal study ever undertaken by the Department of Defense, was launched. To facilitate survey completion, increase data integrity, and encourage cohort retention while maintaining the highest standards of participant privacy, an online questionnaire was made available on the World Wide Web in addition to a traditional paper questionnaire sent via US mail. Over 50% of 77,047 participants chose to enroll in the study via the Web, affording substantial cost savings to the project. Using multivariable logistic regression, the authors compared the demographic and health characteristics of Web responders with those of paper responders. Web responders were slightly more likely to be male, to be younger, to have a high school diploma or college degree, and to work in information technology or another technical occupation. Web responders were more likely to be obese and to smoke more cigarettes and were less likely to be problem alcohol drinkers and to report occupational exposures. Question completion rates were 98.3%, on average, for both Web and paper responders. Web responders provided more complete contact information, including their e-mail addresses. These results demonstrate the value of survey research conducted over the Internet in concert with traditional mail survey strategies.
authors.affiliation: Department of Defense Center for Deployment Health Research, Naval Health Research Center, San Diego, CA 92186-5122, USA. Besa.Smith@med.navy.mil
authors.forename: Besa
authors.initials: B
authors.lastname: Smith
authors.forename: Tyler C
authors.initials: TC
authors.lastname: Smith
authors.forename: Gregory C
authors.initials: GC
authors.lastname: Gray
authors.forename: Margaret A K
authors.initials: MA
authors.lastname: Ryan
mesh_terms: D015331:Cohort Studies; D004812:Epidemiologic Methods; D005260:Female; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D020407:Internet; D016015:Logistic Models; D008137:Longitudinal Studies; D008297:Male; D008889:Military Personnel / Q000706:statistics & numerical data*; D014481:United States / Q000453:epidemiology