Literature DB >> 22320954

Using salivary cotinine to validate self-reports of tobacco use by Indian youth living in low-income neighborhoods.

Poonam Dhavan1, Shalini Bassi, Melissa H Stigler, Monika Arora, Vinay K Gupta, Cheryl L Perry, Lakshmy Ramakrishnan, K Srinath Reddy.   

Abstract

BACKGROUND: Self-reported tobacco use among young people can underestimate the actual prevalence of tobacco use. Biochemical validation of self-reports is particularly recommended for intervention studies where cessation outcomes are to be measured. Literature on biochemical validation of self-reports of multiple forms of tobacco use in India is sparse, particularly among young people.
METHODS: The study was conducted during the baseline household survey of a community-based tobacco prevention and cessation intervention trial for youth (10-19 years old) residing in slum communities in Delhi, India in 2009. Salivary cotinine measurement on 1,224 samples showed that youth were under-reporting use of chewing and smoking tobacco.
RESULTS: Self-reports had a low sensitivity (36.3%) and a positive predictive value of 72.6%. No statistically significant difference in under- reporting was found between youth in the control and intervention conditions of the trial, which will be taken into consideration in assessing intervention outcomes at a later time point.
CONCLUSION: Biochemical validation of self-reported tobacco use should be considered during prevention and cessation studies among youth living in low-income settings in developing countries like India. IMPACT: The future results of biochemical validation from Project ACTIVITY (Advancing Cessation of Tobacco in Vulnerable Indian Tobacco Consuming Youth) will be useful to design validation studies in resource-poor settings.

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Year:  2011        PMID: 22320954      PMCID: PMC3310162     

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  20 in total

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2.  Salivary cotinine concentration versus self-reported cigarette smoking: Three patterns of inconsistency in adolescence.

Authors:  Denise B Kandel; Christine Schaffran; Pamela C Griesler; Mei-Chen Hu; Mark Davies; Neal Benowitz
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3.  Validity of self reports in a cohort of Swedish adolescent smokers and smokeless tobacco (snus) users.

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5.  Differences in tobacco use among young people in urban India by sex, socioeconomic status, age, and school grade: assessment of baseline survey data.

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6.  Differences in prevalence of tobacco use among Indian urban youth: the role of socioeconomic status.

Authors:  Charu Mathur; Melissa H Stigler; Cheryl L Perry; Monika Arora; K Srinath Reddy
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7.  Indian youth speak about tobacco: results of focus group discussions with school students.

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8.  Patterns and distribution of tobacco consumption in India: cross sectional multilevel evidence from the 1998-9 national family health survey.

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2.  Effects of a tobacco control intervention for teachers in India: results of the Bihar school teachers study.

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3.  Assessment of smoking behaviour in a dental setting: a 1-year follow-up study using self-reported questionnaire data and exhaled carbon monoxide levels.

Authors:  Odette Engel Brügger; Marc Frei; Pedram Sendi; Peter A Reichart; Christoph A Ramseier; Michael M Bornstein
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4.  Secondhand Smoke Exposure and Validity of Self-Report in Low-Income Women and Children in India.

Authors:  Jessica L Elf; Aarti Kinikar; Sandhya Khadse; Vidya Mave; Nikhil Gupte; Vaishali Kulkarni; Sunita Patekar; Priyanka Raichur; Joanna Cohen; Patrick N Breysse; Amita Gupta; Jonathan E Golub
Journal:  Pediatrics       Date:  2018-01       Impact factor: 7.124

5.  Reducing tobacco use among low socio-economic status youth in Delhi, India: outcomes from project ACTIVITY, a cluster randomized trial.

Authors:  Melissa B Harrell; Monika Arora; Shalini Bassi; Vinay K Gupta; Cheryl L Perry; K Srinath Reddy
Journal:  Health Educ Res       Date:  2016-08-18

6.  Effects of a worksite tobacco control intervention in India: the Mumbai worksite tobacco control study, a cluster-randomised trial.

Authors:  Glorian Sorensen; Mangesh Pednekar; Laura Shulman Cordeira; Pratibha Pawar; Eve M Nagler; Anne M Stoddard; Hae-Young Kim; Prakash C Gupta
Journal:  Tob Control       Date:  2016-02-16       Impact factor: 7.552

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8.  Influence of cigarette smoking on allergic rhinitis: a comparative study on smokers and non-smokers.

Authors:  Calogero Grillo; Ignazio La Mantia; Caterina M Grillo; Giorgio Ciprandi; Martina Ragusa; Claudio Andaloro
Journal:  Acta Biomed       Date:  2019-07-10

9.  Comparison of Cotinine Salivary Levels in Hookah Smokers, Passive Smokers, and Non-Smokers.

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  9 in total

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