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. 2014 Jun 20;8(6):HC22–HC27. doi: 10.7860/JCDR/2014/8661.4524

[Table/Fig-3]:

Types of drugs

Socio-demographic factors Mood Stabilizers and Antipsychotics n=45 (51.7)% Mood Stabilizers n=30 (34.5)% Mood Stabilizers and anti-depressants n=6( 6.9)% Mood Stabilizers, anti-depressants and Antipsychotics n=6( 6.9)%
Age Less than 40 yrs 30(66.7) 21(70) 0(0) 3(50)
More than40 yrs 15(33.3) 9(30) 6(100) 3(50)
p-value 0.01
Gender Female 18(40) 18(60) 2(33.3) 0(0)
Male 27(60) 12(40) 4(66.7) 6(100)
p-value 0.038
Employment Employed 15(33.3) 6(20) 0(0) 3(50)
Unemployed 30(66.7) 24(80) 6(100) 3(50)
p-value 0.145×
Monthly income >10000/month 15(33.3) 6(20) 0(0) 0(0)
<10000/month 30(66.7) 24(80) 6(100) 6(100)
p-value 0.103×
Ethnicity Magar, Pun 3(6.7) 0(0) 0(0) 0(0)
Others 6(13.3) 0(0) 0(0) 0(0)
Chettri 0(0) 0(0) 0(0) 6(100)
Gurung 3(6.7) 3(10) 0(0) 0(0)
Dalit 9(20) 6(20) 0(0) 0(0)
Newar 12(26.7) 3(10) 3(50) 0(0)
Brahmin 12(26.7) 18(60) 3(50) 0(0)
p-value <0.001
Occupation Others 0(0) 3(10) 0(0) 0(0)
Job holder 0(0) 3(10) 0(0) 0(0)
shopkeeper 6(13.3) 0(0) 0(0) 0(0)
Retired 6(13.5) 6(20) 0(0) 0(0)
Labour 9(20) 3(10) 0(0) 3(50)
Housewife 15(33.3) 7(23.3) 6(100) 0(0)
Students 9(10.3) 8(26.7) 0(0) 0(0)
p-value 0.001

p<0.05, statistically significant., × p>0.05, statistically not significant., - p-value cannot calculate