A population comparison of participants and nonparticipants in a health survey
- PMID: 10432911
- PMCID: PMC1508706
- DOI: 10.2105/ajph.89.8.1228
A population comparison of participants and nonparticipants in a health survey
Abstract
Objectives: This study examined the characteristics of Air Force recruits willing to take part in a health survey vs those unwilling to participate.
Methods: US Air Force recruits undergoing basic military training (n = 32,144) were surveyed regarding demographic and health variables.
Results: Respondents 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.
Conclusions: Results 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.
Similar articles
-
Ethnic and gender differences in smoking and smoking cessation in a population of young adult air force recruits.Am J Health Promot. 2002 May-Jun;16(5):259-66. doi: 10.4278/0890-1171-16.5.259. Am J Health Promot. 2002. PMID: 12053437
-
Demographic, lifestyle, and psychosocial predictors of frequency of intoxication and other indicators as estimates of alcohol-related problems in Air Force basic military recruits.Mil Med. 2000 Jul;165(7):539-45. Mil Med. 2000. PMID: 10920655
-
Assessing and adjusting for non-response in the Millennium Cohort Family Study.BMC Med Res Methodol. 2017 Jan 28;17(1):16. doi: 10.1186/s12874-017-0294-8. BMC Med Res Methodol. 2017. PMID: 28129735 Free PMC article.
-
Behavioral risks associated with tattooing.Fam Med. 2003 Jan;35(1):52-4. Fam Med. 2003. PMID: 12564865
-
Relationship between patterns of alcohol use and negative alcohol-related outcomes among U.S. Air Force recruits.Mil Med. 2007 Apr;172(4):379-82. doi: 10.7205/milmed.172.4.379. Mil Med. 2007. PMID: 17484307
Cited by
-
Non-participation and mortality in different socioeconomic groups: the FINRISK population surveys in 1972-92.J Epidemiol Community Health. 2007 May;61(5):449-54. doi: 10.1136/jech.2006.049908. J Epidemiol Community Health. 2007. PMID: 17435214 Free PMC article.
-
Beta-blocker use and risk of fractures in men and women from the general population: the MONICA/KORA Augsburg cohort study.Osteoporos Int. 2007 Sep;18(9):1189-95. doi: 10.1007/s00198-007-0354-8. Epub 2007 Mar 1. Osteoporos Int. 2007. PMID: 17333446
-
Subgroups of refusers in a disability prevention trial in older adults: baseline and follow-up analysis.Am J Public Health. 2002 Mar;92(3):445-50. doi: 10.2105/ajph.92.3.445. Am J Public Health. 2002. PMID: 11867328 Free PMC article.
-
Challenges and benefits of integrating diverse sampling strategies in the observation of cardiovascular risk factors (ORISCAV-LUX 2) study.BMC Med Res Methodol. 2019 Feb 4;19(1):27. doi: 10.1186/s12874-019-0669-0. BMC Med Res Methodol. 2019. PMID: 30717671 Free PMC article.
-
High prevalence of undiagnosed diabetes mellitus in Southern Germany: target populations for efficient screening. The KORA survey 2000.Diabetologia. 2003 Feb;46(2):182-9. doi: 10.1007/s00125-002-1025-0. Epub 2003 Feb 18. Diabetologia. 2003. PMID: 12627316
References
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources