Table 4.

Tobit regression and Two- part model analysis (N = 91)

Explanatory variable	Tobit model	Two-part model
	Coefficient (SE)	1st part	2nd part
		Coefficient (SE)	Coefficient (SE)
Population (n)	−0.548***(0.179)	−12.568*(7.199)	− 0.343 (0.259)
Female (%)	0.030 (0.020)	−0.296 (0.270)	0.016 (0.024)
Non-Saudi (%)	0.029 (0.021)	0.255 (0.295)	0.029 (0.023)
Children (0–5 years)(%)	−0.058**(0.029)	−0.100 (0.264)	0.041 (0.042)
Adults (15–45 years)(%)	0.034***(0.013)	0.145 (0.146)	0.039***(0.014)
Elderly (> 65 years) (%)	0.040**(0.018)	0.213 (0.210)	0.069***(0.021)
Infectious disease (%)	−0.041***(0.015)
Anti-microbial pres. (n)	0.109 (0.075)	0.472 (0.528)	0.020 (0.062)
Chronic dis. Pres. (n)	−0.222**(0.100)	−0.743 (0.751)	−0.298***(0.109)
Financial hardship (n)	−0.506**(0.197)	−19.054*(11.473)	−0.487**(0.235)
Social support (n)	0.489**(0.193)	10.443* (6.305)	0.495**(0.231)
Region Category
Central	0.183 (0.506)	16.495 (2621.05)	0.240 (0.567)
North	0.137 (0.545)	9.223 (2621.03)	0.566 (0.615)
South	0.370 (0.496)	11.972 (2621.04)	0.237 (0.564)
West	−0.007 (0.508)	4.765 (2621.02)	−0.023 (0.574)
_Constant	4.165**(2.040)	40.710 (2621.12)	4.325*(2.603)
var (CRS)	0.970 (0.166)
LR chi2(15)	63.89	85.22	2.17
Prob> chi2	0.00***	0.00***	0.021**
Pseudo R2	0.238	0.846	0.193
Log-likelihood function	−102.285	−7.719	−94.416

A negative coefficient indicated a positive association with CRS, and a positive coefficient meant a negative association with CRS. SE, standard error. Non-Saudi, percent of non-Saudi; Female, the proportion of female; Infectious disease, percentage of infectious diseases, Anti-microbial pres., amount of antimicrobial dispensed medications; Chronic dis. Pres., chronic prescriptions dispensed; Financial hardship, a number of the population faced financial hardship; Social support, number received benefits of social-economic support. * Significant at the 0.10 level, two-tailed test. **Significant at the 0.05 level, two-tailed test. ***Significant at the 0.01 level, two-tailed test