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Poisson Regression Model

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The study made attempt to elucidate the factors, that influence farming household nutrition in rural Southwest Nigeria using the Poisson regression model. The study, following International food Policy Research Institute (IFPRI, 2012) and Asenso-Okyere et al. (2009), (2011b) went further to elucidate the effect of farming households’ nutrition on health using two stage least square. The following among others were discovered. Findings from this study revealed that farming households’ nutrition is basic and fundamental gulping as much as 48.80%, 53.51% and 57.52% of their gross income annually in Oyo, Ogun and Osun states of Nigeria .Also, factors that influence farmers nutritional status in the study area were sex, age, marital status and education of the household head, household size, farm …show more content…

 Methodological limitation was observed in the self-rated health approach which was weak as a result of respondents’ reluctance to disclose their health condition to us. This was however overcome by basing their health status on the BMI alternative health measurement.
 Problem of generalizability of this work; large randomly sampled size was used, therefore making the data representatives and sufficiently robust to give estimates at local government, state, regional, and national level. Therefore drawn sample were sufficient to reach a general conclusion about the entire population of the study.
 Ebola fear and stigma was a real threat during the data capturing period as majority of this farmers were a bit restrained to come close to us for information especially on their weight and height (for BMI).The problem was overcome by persuading them and also using hand gloves in case of touch during

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