The accuracy of self-reported smoking: A systematic review of the relationship between self-reported and cotinine-assessed smoking status

Gorber, Sarah Connor; Schofield-Hurwitz, Sean; Hardt, Jill; Levasseur, Geneviève; Tremblay, Mark S.

doi:10.1093/ntr/ntn010

Cited by 902 publications

(713 citation statements)

References 84 publications

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“…The validation of self-reports via biochemical tests was not feasible due to logistical and cultural constraints. A review of validation studies indicated that a reliance of self-reported data is generally associated with underestimates of smoking status and varying sensitivity levels according to the population studied (Connor Gorber et al, 2009). Furthermore, the findings of this study, particularly those presented in the stratified analyses, must be interpreted with caution because of the reduced sample size and the small number of subjects included in the factor categories considered.…”

Section: Discussionmentioning

confidence: 78%

Family Context Factors and the Risk of Smoking among Male Adolescents in Saudi Arabia

Al‐Zalabani¹

2015

Asian Pacific Journal of Cancer Prevention

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Background: Smoking behavior is related to numerous factors, including psychosocial parameters. This study investigated the association between family context factors and smoking among male adolescents. Materials and Methods: A cross-sectional, school-based study was conducted during 2014. The study sampled 900 students from intermediate and secondary schools in Madinah City, Saudi Arabia. Data concerning smoking status, sociodemographic, parental and friends' smoking behavior, and family factors were collected using a selfadministered questionnaire. These data were employed to estimate the prevalence of smoking using appropriate statistical analyses including multivariate logistic regression. Results: Of 900 students, 870 completed the study questionnaire (96.7%). Of the respondents, 181 students (20.8%, 95% CI=18.1%-23.5%) were current smokers, and a much higher prevalence was observed among adolescents with most or all of their friends smoking (48.1%) and those living with neither parent (47.4%). The adjusted risk of smoking increased significantly among adolescents who lived with neither parent (OR=3.3; 95% CI=1.1-9.2) and among those who reported little or no parental supervision (OR=1.5; 95% CI=1.0-2.1). Conclusions: Family context factors are associated with an increased risk of smoking behavior among male adolescents in Saudi Arabia.

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Section: Discussionmentioning

confidence: 78%

Family Context Factors and the Risk of Smoking among Male Adolescents in Saudi Arabia

Al‐Zalabani¹

2015

Asian Pacific Journal of Cancer Prevention

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“…Behavioral data are primarily based on self-reports, which provide fairly accurate information in large samples (Connor Gorber et al, 2009). However, for certain behaviors, such as smoking, selfreport tends to result in underreporting (Wagenknecht et al, 1992;Wong et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Biochemically-verified Smoking Rate Trends and Factors Associated with Inaccurate Self-reporting of Smoking Habits in Korean Women

Kang¹,

Kwon²,

Lee³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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Background: Lung cancer is a major cause of Korean female mortality and is clearly associated with smoking. The Korean National Health and Nutrition Examination Survey (KNHANES IV-2,3), which included both self-reports of smoking and urinary cotinine data, revealed a significant discrepancy between the prevalence of self-reported and biochemically-verified female smokers. The factors associated with accurate self-reporting of current smoking status remain poorly understood, however. Materials and Methods: We assessed the prevalence of smoking in KNHANES using both self-report and urinary cotinine data. Subsequently, using univariate and multivariate tests, we assessed whether age, intensity of smoking, marital status, relationship with cohabitants, education, occupation, residential area, or annual household income were associated with inaccurate selfreporting in Korean females. We also investigated whether the prevalence of inaccurate self-reports changed over the survey period

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“…There is, however, a challenge in the use of self‐reported smoking exposure; the assessment of smoking status by questionnaires may lead to inaccurate measures of smoking exposure due to smoking denial or difficulty in recalling the quantity and duration of smoking 9, 10. This misclassification potentially leads to the underestimation of the biological effects of smoking exposure.…”

mentioning

confidence: 99%

Self‐Reported Smoking, Urine Cotinine, and Risk of Cardiovascular Disease: Findings From the PREVEND (Prevention of Renal and Vascular End‐Stage Disease) Prospective Cohort Study

Kunutsor

Spee

Kieneker

et al. 2018

JAHA

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BackgroundWe aimed to compare the associations of smoking exposure as assessed by self‐reports and urine cotinine with cardiovascular disease (CVD) risk and determine the potential utility of cotinine for CVD risk prediction.Methods and ResultsSmoking status by self‐reports and urine cotinine were assessed at baseline in 4737 participants (mean age, 53 years) of the PREVEND (Prevention of Renal and Vascular End‐Stage Disease) prospective study. Participants were classified as never, former, light current (≤10 cigarettes/day), and heavy current smokers (>10 cigarettes/day) according to self‐reports and analogous cutoffs for urine cotinine. During a median follow‐up of 8.5 years, 296 first CVD events were recorded. Compared with self‐reported never smokers, the hazard ratios (95% confidence interval) of CVD for former, light current, and heavy current smokers were 0.86 (0.64–1.17), 1.28 (0.83–1.97), and 1.80 (1.27–2.57) in multivariate analysis. Compared with urine cotinine–assessed never smokers, the corresponding hazard ratios of CVD for urine cotinine–assessed former, light current, and heavy current smokers were 1.70 (1.03–2.81), 1.62 (1.15–2.28), and 1.95 (1.39–2.73) respectively. The C‐index change on adding urine cotinine–assessed smoking status to a standard CVD risk prediction model (without self‐reported smoking status) was 0.0098 (0.0031–0.0164; P=0.004). The corresponding C‐index change for self‐reported smoking status was 0.0111 (0.0042–0.0179; P=0.002).ConclusionsSmoking status as assessed by self‐reports and urine cotinine is associated with CVD risk; however, the nature of the association of urine cotinine with CVD is consistent with a dose‐response relationship. The ability of urine cotinine to improve CVD risk assessment is similar to that of self‐reported smoking status.

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The accuracy of self-reported smoking: A systematic review of the relationship between self-reported and cotinine-assessed smoking status

Cited by 902 publications

References 84 publications

Family Context Factors and the Risk of Smoking among Male Adolescents in Saudi Arabia

Family Context Factors and the Risk of Smoking among Male Adolescents in Saudi Arabia

Biochemically-verified Smoking Rate Trends and Factors Associated with Inaccurate Self-reporting of Smoking Habits in Korean Women

Self‐Reported Smoking, Urine Cotinine, and Risk of Cardiovascular Disease: Findings From the PREVEND (Prevention of Renal and Vascular End‐Stage Disease) Prospective Cohort Study

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