ArticleAmerican journal of public health1999
A population comparison of participants and nonparticipants in a health survey.
Article in American journal of public health, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Challenges and benefits of integrating diverse sampling strategies in the observation of cardiovascular risk factors (ORISCAV-LUX 2) study.BMC medical research methodology · 2019Article
- Article
- Heritability of objectively assessed daily physical activity and sedentary behavior.The American journal of clinical nutrition · 2013Article
- Programmatic influences on outcomes of an evidence-based fall prevention program for older adults: a translational assessment.Translational behavioral medicine · 2011Article
- Comparison of participants and non-participants to the ORISCAV-LUX population-based study on cardiovascular risk factors in Luxembourg.BMC medical research methodology · 2010Article
- Factors influencing participation rate in a baseline survey of a genetic cohort in Japan.Journal of epidemiology · 2010Article
- How many mailouts? Could attempts to increase the response rate in the Iraq war cohort study be counterproductive?BMC medical research methodology · 2007Article
- Beta-blocker use and risk of fractures in men and women from the general population: the MONICA/KORA Augsburg cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2007Article
- Non-participation and mortality in different socioeconomic groups: the FINRISK population surveys in 1972-92.Journal of epidemiology and community health · 2007Article
- Occupational mobility and risk factors in working men: selection, causality or both? Results from the GAZEL study.Journal of epidemiology and community health · 2003Article
- High prevalence of undiagnosed diabetes mellitus in Southern Germany: target populations for efficient screening. The KORA survey 2000.Diabetologia · 2003Article
- Health and demographic characteristics of respondents in an Australian national sexuality survey: comparison with population norms.Journal of epidemiology and community health · 2002Article
- Predictors of participation and attrition in a health promotion study involving psychiatric outpatients.Journal of consulting and clinical psychology · 2002Article
- Subgroups of refusers in a disability prevention trial in older adults: baseline and follow-up analysis.American journal of public health · 2002Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectivesThis study examined the characteristics of Air Force recruits willing to take part in a health survey vs those unwilling to participate.
methodsUS Air Force recruits undergoing basic military training (n = 32,144) were surveyed regarding demographic and health variables.
resultsRespondents indicating an unwillingness to participate in a health survey reported less healthy lifestyles than those willing to participate. Prediction equations modeling the characteristics of those engaging in 4 risky behaviors were nearly identical regardless of whether those refusing to participate were included.
conclusionsResults suggest that, despite some low estimates of health behaviors due to response bias, relationships between most risk factors are generally unaffected by those not responding to health surveys.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.