ASSESSMENT OF ADDITIVE AND MULTIPLICATIVE INTERACTION USING RECONSTRUCTED DATA: EVIDENCE FROM HYPERTENSION RISK FACTORS IN EDO STATE, NIGERIA
DOI:
https://doi.org/10.60787/jnamp.vol72no.681Keywords:
Additive interaction, Multiplicative interaction, Hypertension, Risk factors, EpidemiologyAbstract
Interaction is a measure of the joint effect of two factors on an outcome compared to their individual effects. Factorial experiment provides a good background for the analysis of interaction among two or more factors. In epidemiology, the joint effect of two or more risk factors is mostly assessed using additive and multiplicative interaction scales. This study examines additive and multiplicative interaction between tobacco and alcohol and their effect on development of hypertension using reconstructed contingency data. In order to assess interaction, we reconstructed a three-way contingency data by algebraic procedure from marginal totals obtained from a study of oil palm workers in Edo State, Nigeria. The result showed evidence of positive interaction on both additive and multiplicative scales justifying the presence of interaction in the data and the validity of the reconstructed three-way contingency data. We concluded that from the additive scale about 9.4% of the hypertensive cases can be attributed to interaction, while on the multiplicative scale about 52% of the jointly exposed individuals are more likely to develop hypertension.
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