Literature DB >> 1494079

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

J Vestbo1, F V Rasmussen.   

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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Year:  1992        PMID: 1494079      PMCID: PMC1059680          DOI: 10.1136/jech.46.6.617

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


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3.  Response and follow-up bias in cohort studies.

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7.  A longitudinal study of respiratory health in a rural community.

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8.  Lung function and long-term exposure to cement dust.

Authors:  F V Rasmussen; L Borchsenius; B Holstein; P Sølvsteen
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9.  Drop-out and newcomer bias in a community cardiovascular follow-up study.

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6.  Income non-reporting: implications for health inequalities research.

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