| Literature DB >> 34316722 |
Upendra Bhojani1, Amiti Varma1, Pragati B Hebbar1, Gauri Mandal2, Himanshu Gupte3.
Abstract
INTRODUCTION: The youth are a vulnerable population-group for tobacco-related harms. Schools are an excellent setting for health promotion; yet there is a dearth of school-based cessation interventions, rarely evaluated for their impact. Here, we assess the impact of the LifeFirst program: an ongoing tobacco and supari (areca nut) cessation intervention delivered to students from corporation schools in Mumbai city.Entities:
Keywords: India; cessation; school-based intervention; supari; tobacco; youth
Year: 2021 PMID: 34316722 PMCID: PMC7611376 DOI: 10.18332/popmed/134990
Source DB: PubMed Journal: Popul Med ISSN: 2654-1459
Figure 1Study design
Major characteristics of the sample population at baseline
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|---|---|---|
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| Boys | 261 (63.0) | 270 (65.4) |
| Girls | 153 (37.0) | 143 (34.6) |
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| 13.3 (1.3) | 13.4 (1.5) |
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| 7th grade | 107 (25.9) | 136 (33.0) |
| 8th grade | 144 (34.8) | 106 (25.7) |
| 9th grade | 163 (39.4) | 170 (41.3) |
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| Marathi | 194 (46.9) | 198 (47.9) |
| Hindi | 105 (25.4) | 61 (14.8) |
| Urdu | 84 (20.3) | 131 (31.7) |
| English | 31 (7.5) | 23 (5.6) |
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| 78.5 (82.5) | 83.6 (79.6) |
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| Tobacco use prevalence, n (%) | 67 (17.1) | 69 (17.7) |
| Supari use prevalence, n (%) | 402 (97.1) | 399 (96.1) |
| Dual user, n (%) | 62 (15.74) | 66 (16.88) |
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| 11.3 (1.7) | 11.1 (2.1) |
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| 4.6 (0.9) | 4.4(1.1) |
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| 1.7 (0.5) | 1.5 (0.6) |
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| 2.6 (0.8) | 2.7 (0.7) |
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| 347 (83.8) | 350 (84.8) |
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| 364 (87.9) | 369 (89.4) |
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| 111 (56.4) | 147 (59.3) |
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| 368 (90.4) | 343 (83.9) |
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| 336 (92.1) | 340 (95.0) |
The difference between the control and intervention groups was statistically significant (at p<0.05) when assessed using comparative statistics: t-test and chi-squared for comparing means and proportions, respectively. INR 100 is roughly equal to USD 1.3.
Difference-in-difference analysis for outcome variables
| Intervention (I) | Control (C) | Difference (I–C) | Unadjusted difference-in-differences estimator (SE) | Adjusted difference-in-differences estimatora (SE) | |
|---|---|---|---|---|---|
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| Before (B) | 0.176 | 0.171 | 0.006 (0.028) | ||
| After (A) | 0.116 | 0.29 | -0.173 (0.027) | ||
| Difference (A–B) | -0.179 (0.039) | -0.175 (0.038) | |||
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| Before (B) | 0.966 | 0.971 | -0.005 (0.024) | ||
| After (A) | 0.232 | 0.618 | -0.386 (0.024) | ||
| Difference (A–B) | -0.381 (0.034) | -0.379 (0.034) | |||
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| Before (B) | 4.375 | 4.572 | -0.197 (0.065) | ||
| After (A) | 4.978 | 4.778 | 0.200 (0.065) | ||
| Difference (A–B) | 0.398 (0.092) | 0.406 (0.093) | |||
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| Before (B) | 1.547 | 1.698 | -0.151 (0.035) | ||
| After (A) | 1.831 | 1.751 | 0.079 (0.035) | ||
| Difference (A–B) | 0.230 (0.049) | 0.229 (0.05) | |||
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| Before (B) | 2.712 | 2.599 | 0.113 (0.047) | ||
| After (A) | 2.814 | 2.688 | 0.125 (0.047) | ||
| Difference (A–B) | 0.012 (0.067) | 0.018 (0.068) | |||
Adjusted with covariates (sex, age, standard, school medium, pocket money). **p<0.05.
Figure 2Change in product-specific usage over study period (in intervention and control groups)