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One of the strengths of our study is estimation of individual exposure to traffic-related air pollutants based on temporally adjusted LUR models applied to geocoded home addresses, whereas most studies assess exposure by using routinely measured air pollution levels and community-level residence (census data or postal codes).
At the community level, urban residence and community media saturation are consistently strong predictors.
At the community level, urban residence was consistently associated with increased odds of service utilization.
At the community level, area of residence emerged as a predictor of nutritional outcomes.
At the community level, place of residence and ecological regions were significantly associated with the attendance to postnatal care (Model 1).
At child level, these included child's age and birth weight; at maternal level, maternal age; at household level, age of household head; and at community level, area of residence.
The community level factors assessed were residence type and geographical zone.
However, the community level predictor (place of residence) is more resistant to change.
Area of residence at community level was not significantly associated (see Table 1) (23).
In these studies, it was reported that child wasting was associated with some household factors such as family income and rural residence while community level factors included only the poor household sanitary facilities.
We examined the role of three community level variables: type of place of residence (urban versus rural), media saturation in the local government area (LGA) of residence, and prevalence of the small family norm in the LGA of residence.
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