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Table 6 Factors affecting number of prescribed drugs: multiple linear regression analysis

From: Drug utilization patterns among elderly hospitalized patients on poly-pharmacy in Punjab, Pakistan

Variables Unstandardized Coefficients Standardized Coefficients p-value 95.0% Confidence Interval for B
Std. Error B Lower Bound Upper Bound
Male .051 −.091 .039 −.205 −.006
Widowed .073 −.008 .865 −.157 .132
Divorced .119 −.130 .002 −.604 −.136
Low income class .135 .051 .592 −.193 .339
Middle income class .144 −.034 .716 −.335 .230
Moderate self-reported health .105 −.075 .397 −.296 .118
Poor self-reported health .127 −.034 .744 −.292 .208
≥4 clinic visits .076 .075 .238 −.060 .240
Comorbidity .051 .144 .001 .068 .267
  1. P-value < .05 was considered statistically significant. Note: Only statistically significant variables in the univariate analysis were entered in the multiple linear regression analysis and are shown in the Table
  2. Model summary: R2 = 0.052, p < 0.0005