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Journal of Epidemiology and Community Health logoLink to Journal of Epidemiology and Community Health
. 1992 Dec;46(6):617–619. doi: 10.1136/jech.46.6.617

Baseline characteristics are not sufficient indicators of non-response bias follow up studies.

J Vestbo 1, F V Rasmussen 1
PMCID: PMC1059680  PMID: 1494079

Abstract

STUDY OBJECTIVE--The aim was to examine whether baseline characteristics from a cross sectional survey provided sufficient information regarding non-response bias in a follow up study when compared with information on hospital admissions in the intervening years. DESIGN--This was an 11 year follow up study of a cohort selected in 1974 with register information on hospital admissions during follow up. SETTING--The study was based on a sample of cement workers from a particular Portland cement factory with suitable controls from other occupations. PARTICIPANTS--A total of 1404 men participated in the first survey in 1974, including a questionnaire and lung function tests. In 1985 1070 men were alive and of these, 928 men (87%) responded to a postal questionnaire. MAIN RESULTS--Non-responders in 1985 did not differ markedly from responders when smoking habits, respiratory symptoms, and lung function were examined in 1974. During follow up, non-responders had twice as high rates of hospital admission due to respiratory diseases as responders. These differences remained present after adjusting for minor differences in age and smoking habits. CONCLUSIONS--Equal distributions of baseline characteristics among responders and non-responders in a follow up study do not preclude non-response bias.

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Selected References

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  1. Abramson J. H., Kark S. L., Epstein L. M., Hopp C., Peritz E., Makler A. A community health study in Jerusalem. Design and response. Isr J Med Sci. 1979 Sep;15(9):725–731. [PubMed] [Google Scholar]
  2. Bakke P., Gulsvik A., Lilleng P., Overå O., Hanoa R., Eide G. E. Postal survey on airborne occupational exposure and respiratory disorders in Norway: causes and consequences of non-response. J Epidemiol Community Health. 1990 Dec;44(4):316–320. doi: 10.1136/jech.44.4.316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Beck G. J., Doyle C. A., Schachter E. N. A longitudinal study of respiratory health in a rural community. Am Rev Respir Dis. 1982 Apr;125(4):375–381. doi: 10.1164/arrd.1982.125.4.375. [DOI] [PubMed] [Google Scholar]
  4. COBB S., KING S., CHEN E. Differences between respondents and nonrespondents in a morbidity survey involving clinical examination. J Chronic Dis. 1957 Aug;6(2):95–108. doi: 10.1016/0021-9681(57)90044-9. [DOI] [PubMed] [Google Scholar]
  5. Forthofer R. N. Investigation of nonresponse bias in NHANES II. Am J Epidemiol. 1983 Apr;117(4):507–515. doi: 10.1093/oxfordjournals.aje.a113568. [DOI] [PubMed] [Google Scholar]
  6. Greenland S. Response and follow-up bias in cohort studies. Am J Epidemiol. 1977 Sep;106(3):184–187. doi: 10.1093/oxfordjournals.aje.a112451. [DOI] [PubMed] [Google Scholar]
  7. Jooste P. L., Yach D., Steenkamp H. J., Botha J. L., Rossouw J. E. Drop-out and newcomer bias in a community cardiovascular follow-up study. Int J Epidemiol. 1990 Jun;19(2):284–289. doi: 10.1093/ije/19.2.284. [DOI] [PubMed] [Google Scholar]
  8. Jürgensen H. J., Frølund C., Gustafsen J., Mosbech H., Guldhammer B., Mosbech J. Registration of diagnoses in the Danish National Registry of Patients. Methods Inf Med. 1986 Jul;25(3):158–164. [PubMed] [Google Scholar]
  9. Olofsson J., Bake B., Svärdsudd K., Skoogh B. E. The single breath N2-test predicts the rate of decline in FEV1. The study of men born in 1913 and 1923. Eur J Respir Dis. 1986 Jul;69(1):46–56. [PubMed] [Google Scholar]
  10. Rasmussen F. V., Borchsenius L., Holstein B., Sølvsteen P. Lung function and long-term exposure to cement dust. Scand J Respir Dis. 1977 Oct;58(5):252–264. [PubMed] [Google Scholar]
  11. Sheikh K. Predicting risk among non-respondents in prospective studies. Eur J Epidemiol. 1986 Mar;2(1):39–43. doi: 10.1007/BF00152716. [DOI] [PubMed] [Google Scholar]
  12. Sonne-Holm S., Sørensen T. I., Jensen G., Schnohr P. Influence of fatness, intelligence, education and sociodemographic factors on response rate in a health survey. J Epidemiol Community Health. 1989 Dec;43(4):369–374. doi: 10.1136/jech.43.4.369. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Trent R. B., Ames R. G. Respiratory health as a predictor of questionnaire return in a sample of United States underground coalminers. Br J Ind Med. 1987 Jun;44(6):407–411. doi: 10.1136/oem.44.6.407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Wiley J. A., Camacho T. C. Life-style and future health: evidence from the Alameda County study. Prev Med. 1980 Jan;9(1):1–21. doi: 10.1016/0091-7435(80)90056-0. [DOI] [PubMed] [Google Scholar]

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