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Primary versus proxy respondents: comparability of questionnaire data on alcohol consumption
1Department of Community Health and General Practice, Christchurch School of Medicine, New Zealand.
American Journal of Epidemiology
|September 15, 1993
Summary
Next of kin accurately reported alcohol consumption frequency and amount in a coronary heart disease study. Proxy data is reliable for aggregate alcohol consumption estimates, especially for drinking frequency.
Area of Science:
- Epidemiology
- Cardiovascular Disease Research
- Public Health
Background:
- Assessing alcohol consumption is crucial for understanding its impact on cardiovascular health.
- Previous studies have questioned the reliability of self-reported alcohol data, especially when collected via proxy.
Purpose of the Study:
- To evaluate the accuracy of alcohol consumption data reported by next of kin compared to primary respondents in a case-control study.
- To determine if proxy reporting introduces bias in alcohol consumption estimates for coronary heart disease research.
Main Methods:
- A community-based case-control study of coronary heart disease (CHD) was conducted in Auckland, New Zealand (1986-1988).
- Questionnaire data on alcohol consumption from primary respondents (myocardial infarction cases and controls) were compared with data from their next of kin.
- Statistical analysis included exact agreement, agreement within one category, and tests of marginal homogeneity.
Main Results:
- Exact agreement between primary respondents and next of kin was 62-64% for drinking frequency.
- Agreement within one category (plus or minus) reached 89% for both cases and controls.
- Mean differences in daily alcohol intake between respondents and next of kin were small, though individual variability existed.
Conclusions:
- Next of kin provide reliable estimates of alcohol consumption frequency at an aggregate level.
- Proxy data is unlikely to cause significant bias in population-level alcohol consumption assessments.
- These findings support the use of proxy respondents in epidemiological studies when direct data collection is challenging.