The primary caregiver's determinants were their occupation, knowledge and attitude toward immunization.
The primary caregiver's determinants associated with UTD immunization rate for the 1 3 3 3 1 series were primary caregiver's occupation, knowledge about immunization, and attitude toward immunization safety.
A structured, self-administered questionnaire, which contained socio-demographic characteristics like age, ethnicity and religion, as well as parental educational status and occupation, knowledge, and beliefs, was used to collect data.
Age, occupation, knowledge of community on health extension service, community participation in planning of health extension activities and graduation of model family were identified as the independent factors affecting the community's utilization of health extension services.
Multiple logistic regression model revealed that: age, occupation, knowledge of community on health extension service, community participation in planning of health extension activities and graduation of model family were identified as independent factors affecting the community health extension service utilization.
Among all the contributing factors tested, only the 3 predictors that included occupation, knowledge of malaria and utilization of mosquito-nets were associated with significant risk for malaria occurring among the MVs in the study village.
Age, occupation, knowledge of community on health extension service, community participation in planning of health extension activities and graduation of model family were identified as the independent factors affecting community health extension services utilization.
Specifically, smoking status (the no-attempt group vs. the failed-attempt group and the quitting group, respectively) was regressed on betel-quid chewing after controlling for age, education level, gender, occupation, knowledge about tobacco hazards, attitude toward smoking, exposure to second-hand smoking at home and at work, smoking restrictions at home and at work, and cigarette consumption.
Using a novel measure of occupational distance constructed from the O*Net Content Model, we find that spouses more closely matched in terms of their occupations' requisite knowledge are more likely to divorce.
Significant differences were also found between groups of different ages and occupations regarding knowledge of avoiding mixed housing practices (p<0.05).
