Results of Heckman probit and multinomial logistic regression models revealed that age, educational level, wealth status, agricultural extension services, and distance to the nearest health center are found to be significant for determining climate change adaptation.
Results revealed that age, educational level, wealth, status, agricultural extension services, and distance to the nearest health center are found to be statistically significant factors for climate change adaptation in LTSB.
As it was hypothesized in the above section, educational level, wealth status, off-farm employment, agricultural extension services and the distance to the nearest health center of the household head is found to be statistically significant at 10%% level of significance.
Socioeconomic status, the main explanatory variable, was assessed through "educational attainment," "wealth," and occupational groups.
Marital status, educational level, wealth, and residence were not significantly associated with the number of NCD risk factors experienced.
Marital status, educational level, wealth and residence were not significantly associated with the number of NCD risk factors experienced (Table 4).
Model 1 adjusted for age and parity while model 2 adjusted for age, parity, educational level, wealth status, marital status and type of place of residence.
Strong statistically significant associations were found between women delivering in health facilities and their educational status, wealth status, and number of deliveries.
Significant positive associations existed between skilled attendance at delivery and the variables such as maternal educational level, wealth status class, ever use of contraception, previous pregnancy complications and health insurance coverage (p<0.001).
As shown in Table 3, bivariate analysis indicates that women place of residence, age at interview, educational status, wealth status, marital status, religion, occupation women autonomy, ANC visits, and number of pregnancies were significantly associated with institutional delivery.
