Table 4

Logistic regression analysis examining predictors of quitting SLT

aOR (95% CI)
Labels Impact Index (LII)
 1 unit increase1.02 (0.99 to 1.05)
Wave LII interaction
 Wave 2 (vs Wave 1), 1 unit increase in LII (interaction OR)0.98 (0.93 to 1.02)
 Wave 2, 1 unit increase in LII1.02 (0.99 to 1.05)
 Wave 1, 1 unit increase in LII0.99 (0.96 to 1.03)
State
 Maharashtra (vs Bihar)2.15 (1.31 to 3.52)
 Madhya Pradesh (vs Bihar)1.62 (0.88 to 2.98)
 West Bengal (vs Bihar)0.98 (0.57 to 1.67)
Urban/rural
 Rural (vs urban)1.38 (0.86 to 2.19)
Sex
 Male (vs female)0.55 (0.42 to 0.71)
Age group (years)
 55+ (vs 15–17)0.91 (0.51 to 1.61)
 40–54 (vs 15–17)0.61 (0.35 to 1.06)
 25–39 (vs 15–17)0.88 (0.49 to 1.56)
 18–24 (vs 15–17)1.06 (0.62 to 1.84)
Marital status
 Single (vs married)1.44 (1.07 to 1.95)
 Widowed/divorced/separated (vs married)0.98 (0.68 to 1.42)
Socioeconomic status
 Low (vs high)0.5 (0.35 to 0.72)
 Moderate (vs high)0.73 (0.59 to 0.92)
Attempts to quit in past year
 At least one attempt (vs none)1.01 (0.74 to 1.37)
Intentions to quit
 Plans to quit (vs no plans)1.37 (1.03 to 1.83)
Wave
 Wave 2 (vs Wave 1)1.19 (0.82 to 1.74)
Level of Tobacco (SLT) Dependence Index
 Dependence (1 unit increase)0.79 (0.71 to 0.88)
  • Estimates show the adjusted OR for each variable. ORs show the effect of each variable at the initial wave (Wave one or Wave 2) in predicting whether a respondent quit tobacco by the following wave (Waves 2 and 3 respectively). Covariates included state, living in an urban/ rural area, sex, age, marital status, socioeconomic status, attempts to quit in past year, intentions to quit, wave effects dependence, LII and LII*wave interactions.