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. 2019 Apr 3;7(4):e11687. doi: 10.2196/11687

Table 3.

Use of text messaging and its association with demographic characteristics (N=185).

Variables SMSa not usedb (n=119), n (%) SMS used (n=66), n (%) Unadjusted ORc
(95% CI)
Adjustedd,e OR
(95% CI)
Sex, n (%)

Female 45 (63) 26 (37) Referentf g

Male 74 (64.9) 40 (35.1) 0.936 (0.505-1.734)
Age (years)

≥32, n (%) 78 (80) 19 (20) Referent Referent

<32, n (%) 41 (47) 47 (53) 4.716 (2.450-9.009) 2.314 (1.068-5.025)
Marital status, n (%)

Married 89 (72.4) 34 (27.6) Referent

Single 30 (48) 32 (52) 2.793 (1.479-5.263)
Residence, n (%)

Rural 52 (81) 12 (19) Referent

Urban 67 (55.4) 54 (44.6) 3.493 (1.695-7.195)
Education status, n (%)

No formal education 38 (95) 2 (5) Referent

Formal education 81 (55.9) 64 (44.1) 15.012 (3.489-64.591)
Literate in English, n (%)

No 99 (85.3) 17 (14.7) Referent Referent

Yes 20 (29) 49 (71) 14.268 (6.865-29.654) 8.678 (4.019-18.740)
Monthly income (Indian Rupee), n (%)

<5000 64 (73) 24 (27) Referent

≥5000 55 (57) 42 (43) 2.036 (1.098-3.776)
Treatment observation, n (%)

In-person directly observed treatment 28 (64) 16 (36) Referent

Self-administered treatment 33 (73) 12 (27) 0.636 (0.258-1.569)

Not initiated 58 (60) 38 (40) 1.147 (0.548-2.398)
Recruitment center, n (%)

Public health care facility 18 (69) 8 (31) Referent

St John’s Medical College Hospital (private) 101 (63.5) 58 (36.5) 1.292 (0.529-3.157)

aSMS: short message service.

bComprised those who did not use SMSs as they did not have a phone and those who had a phone but did not use the feature.

cOR: odds ratio.

dLogistic regression model P value<.001 (Forward stepwise [Conditional] method); Nagelkerke R2: 0.445 (step 3); −2 Log-likelihood: 168.595 (step 3).

eOnly variables retained in the final regression model have an adjusted OR.

fReferent: reference category.

gNot applicable.