Survey response over 15 years of follow-up in the Millennium Cohort Study

Abstract Background Patterns of survey response and the characteristics associated with response over time in longitudinal studies are important to discern for the development of tailored retention efforts aimed at minimizing response bias. The Millennium Cohort Study, the largest and longest runnin...

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Main Authors: Claire A. Kolaja, Jennifer N. Belding, Satbir K. Boparai, Sheila F. Castañeda, Toni Rose Geronimo-Hara, Teresa M. Powell, Xin M. Tu, Jennifer L. Walstrom, Beverly D. Sheppard, Rudolph P. Rull, for the Millennium Cohort Study Team
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Medical Research Methodology
Subjects:
Online Access:https://doi.org/10.1186/s12874-023-02018-z
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author Claire A. Kolaja
Jennifer N. Belding
Satbir K. Boparai
Sheila F. Castañeda
Toni Rose Geronimo-Hara
Teresa M. Powell
Xin M. Tu
Jennifer L. Walstrom
Beverly D. Sheppard
Rudolph P. Rull
for the Millennium Cohort Study Team
author_facet Claire A. Kolaja
Jennifer N. Belding
Satbir K. Boparai
Sheila F. Castañeda
Toni Rose Geronimo-Hara
Teresa M. Powell
Xin M. Tu
Jennifer L. Walstrom
Beverly D. Sheppard
Rudolph P. Rull
for the Millennium Cohort Study Team
author_sort Claire A. Kolaja
collection DOAJ
description Abstract Background Patterns of survey response and the characteristics associated with response over time in longitudinal studies are important to discern for the development of tailored retention efforts aimed at minimizing response bias. The Millennium Cohort Study, the largest and longest running cohort study of military personnel and veterans, is designed to examine the long-term health effects of military service and experiences and thus relies on continued participant survey responses over time. Here, we describe the response rates for follow-up survey data collected over 15 years and identify characteristics associated with follow-up survey response and mode of response (paper vs. web). Method Patterns of follow-up survey response and response mode (web, paper, none) were examined among eligible participants (n=198,833), who were initially recruited in four panels from 2001 to 2013 in the Millennium Cohort Study, for a follow-up period of 3–15 years (2004–2016). Military and sociodemographic factors (i.e., enrollment panel, sex, birth year, race and ethnicity, educational attainment, marital status, service component, service branch, pay grade, military occupation, length of service, and time deployed), life experiences and health-related factors (i.e., military deployment/combat experience, life stressors, mental health, physical health, and unhealthy behaviors) were used to examine follow-up response and survey mode over time in multivariable generalized estimating equation models. Results Overall, an average response rate of 60% was observed across all follow-up waves. Factors associated with follow-up survey response over time included increased educational attainment, married status, female sex, older age, military deployment (regardless of combat experience), and higher number of life stressors, mental health issues, and physical health diagnoses. Conclusion Despite the challenges associated with collecting multiple waves of follow-up survey data from members of the U.S. military during and after service, the Millennium Cohort Study has maintained a relatively robust response rate over time. The incorporation of tailored messages and outreach to those groups least likely to respond over time may improve retention and thereby increase the representativeness and generalizability of collected survey data.
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spelling doaj.art-ecae1a2c3271474cb54aa40e4b5956402023-11-26T13:42:42ZengBMCBMC Medical Research Methodology1471-22882023-09-0123111710.1186/s12874-023-02018-zSurvey response over 15 years of follow-up in the Millennium Cohort StudyClaire A. Kolaja0Jennifer N. Belding1Satbir K. Boparai2Sheila F. Castañeda3Toni Rose Geronimo-Hara4Teresa M. Powell5Xin M. Tu6Jennifer L. Walstrom7Beverly D. Sheppard8Rudolph P. Rull9for the Millennium Cohort Study TeamDeployment Health Research Department, Naval Health Research CenterDeployment Health Research Department, Naval Health Research CenterDeployment Health Research Department, Naval Health Research CenterDeployment Health Research Department, Naval Health Research CenterDeployment Health Research Department, Naval Health Research CenterLeidos, IncClinical and Translational Research Institute, University of California San DiegoDeployment Health Research Department, Naval Health Research CenterDeployment Health Research Department, Naval Health Research CenterDeployment Health Research Department, Naval Health Research CenterAbstract Background Patterns of survey response and the characteristics associated with response over time in longitudinal studies are important to discern for the development of tailored retention efforts aimed at minimizing response bias. The Millennium Cohort Study, the largest and longest running cohort study of military personnel and veterans, is designed to examine the long-term health effects of military service and experiences and thus relies on continued participant survey responses over time. Here, we describe the response rates for follow-up survey data collected over 15 years and identify characteristics associated with follow-up survey response and mode of response (paper vs. web). Method Patterns of follow-up survey response and response mode (web, paper, none) were examined among eligible participants (n=198,833), who were initially recruited in four panels from 2001 to 2013 in the Millennium Cohort Study, for a follow-up period of 3–15 years (2004–2016). Military and sociodemographic factors (i.e., enrollment panel, sex, birth year, race and ethnicity, educational attainment, marital status, service component, service branch, pay grade, military occupation, length of service, and time deployed), life experiences and health-related factors (i.e., military deployment/combat experience, life stressors, mental health, physical health, and unhealthy behaviors) were used to examine follow-up response and survey mode over time in multivariable generalized estimating equation models. Results Overall, an average response rate of 60% was observed across all follow-up waves. Factors associated with follow-up survey response over time included increased educational attainment, married status, female sex, older age, military deployment (regardless of combat experience), and higher number of life stressors, mental health issues, and physical health diagnoses. Conclusion Despite the challenges associated with collecting multiple waves of follow-up survey data from members of the U.S. military during and after service, the Millennium Cohort Study has maintained a relatively robust response rate over time. The incorporation of tailored messages and outreach to those groups least likely to respond over time may improve retention and thereby increase the representativeness and generalizability of collected survey data.https://doi.org/10.1186/s12874-023-02018-zFollow-up surveysCohort studyMilitaryLongitudinalResponse rates
spellingShingle Claire A. Kolaja
Jennifer N. Belding
Satbir K. Boparai
Sheila F. Castañeda
Toni Rose Geronimo-Hara
Teresa M. Powell
Xin M. Tu
Jennifer L. Walstrom
Beverly D. Sheppard
Rudolph P. Rull
for the Millennium Cohort Study Team
Survey response over 15 years of follow-up in the Millennium Cohort Study
BMC Medical Research Methodology
Follow-up surveys
Cohort study
Military
Longitudinal
Response rates
title Survey response over 15 years of follow-up in the Millennium Cohort Study
title_full Survey response over 15 years of follow-up in the Millennium Cohort Study
title_fullStr Survey response over 15 years of follow-up in the Millennium Cohort Study
title_full_unstemmed Survey response over 15 years of follow-up in the Millennium Cohort Study
title_short Survey response over 15 years of follow-up in the Millennium Cohort Study
title_sort survey response over 15 years of follow up in the millennium cohort study
topic Follow-up surveys
Cohort study
Military
Longitudinal
Response rates
url https://doi.org/10.1186/s12874-023-02018-z
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