ArticleBMC medical research methodology2010
Assessing nonresponse bias at follow-up in a large prospective cohort of relatively young and mobile military service members.
Article in BMC medical research methodology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Understanding Response Rates to Surveys About Family Members' Psychological Symptoms After Patients' Critical Illness.Journal of pain and symptom management · 2017Trial
- The impact of non-responders on health and lifestyle outcomes in an intervention study.BMC research notes · 2014Trial
- Assessing nonresponse bias in a 30-year study of gulf war and gulf era veterans.BMC medical research methodology · 2026Article
- Individual Alcohol Consumption Depending on Regional Living Conditions: Results of a Russian Nationwide Study Based on 2012-2022 Data.Journal of research in health sciences · 2026Observational
- Utilizing machine learning to predict participant response to follow-up health surveys in the Millennium Cohort Study.Scientific reports · 2024Article
- Prospective comparison of risk factors for firearm suicide and non-firearm suicide in a large population-based cohort of current and former US service members: findings from the Millennium Cohort Study.Lancet regional health. Americas · 2024Article
- Three-Item Dimensions of Anger Reactions Scale.JAMA network open · 2024Article
- The Study of Adolescent Resilience (SOAR): a research protocol.Frontiers in child and adolescent psychiatry · 2024Article
- Cohort profile: recruitment and retention in a prospective cohort of Canadian healthcare workers during the COVID-19 pandemic.BMJ open · 2023Article
- Survey response over 15 years of follow-up in the Millennium Cohort Study.BMC medical research methodology · 2023Article
- Article
- Patterns of Attrition in the Canadian Armed Forces Members and Veterans Mental Health Follow-up Survey (CAFVMHS).Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2021Article
- Article
- Magnitude of problematic anger and its predictors in the Millennium Cohort.BMC public health · 2020Article
- Missing-data analysis: socio- demographic, clinical and lifestyle determinants of low response rate on self- reported psychological and nutrition related multi- item instruments in the context of the ATTICA epidemiological study.BMC medical research methodology · 2020Article
- Mental health, physical health, and health-related behaviors of U.S. Army Special Forces.PloS one · 2020Article
- Factors Influencing Web-Based Survey Response for a Longitudinal Cohort of Young Women Born Between 1989 and 1995.Journal of medical Internet research · 2019Article
- Serum polychlorinated biphenyls and leukocyte telomere length in a highly-exposed population: The Anniston Community Health Survey.Environment international · 2017Article
- Assessing the Potential for Bias From Nonresponse to a Study Follow-up Interview: An Example From the Agricultural Health Study.American journal of epidemiology · 2017Article
- On the impact of nonresponse in logistic regression: application to the 45 and Up study.BMC medical research methodology · 2017Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNonresponse bias in a longitudinal study could affect the magnitude and direction of measures of association. We identified sociodemographic, behavioral, military, and health-related predictors of response to the first follow-up questionnaire in a large military cohort and assessed the extent to which nonresponse biased measures of association.
methodsData are from the baseline and first follow-up survey of the Millennium Cohort Study. Seventy-six thousand, seven hundred and seventy-five eligible individuals completed the baseline survey and were presumed alive at the time of follow-up; of these, 54,960 (71.6%) completed the first follow-up survey. Logistic regression models were used to calculate inverse probability weights using propensity scores.
resultsCharacteristics associated with a greater probability of response included female gender, older age, higher education level, officer rank, active-duty status, and a self-reported history of military exposures. Ever smokers, those with a history of chronic alcohol consumption or a major depressive disorder, and those separated from the military at follow-up had a lower probability of response. Nonresponse to the follow-up questionnaire did not result in appreciable bias; bias was greatest in subgroups with small numbers.
conclusionsThese findings suggest that prospective analyses from this cohort are not substantially biased by non-response at the first follow-up assessment.
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