Mariëlle Gerritsen1, Nadine Berndt, Lilian Lechner, Hein de Vries, Aart Mudde, Catherine Bolman. 1. From Auti-Uniek (MG), Oosterbeek, the Netherlands; Faculty of Psychology and Educational Sciences (NB, LL, AM, CB), Open University of the Netherlands, Heerlen, the Netherlands; Cellule d'Expertise Médicale (NB), Inspection Générale de la Sécurité Sociale, Luxembourg; and Department of Health Promotion (HV), School for Public Health and Primary Care, Maastricht University, Maastricht, the Netherlands.
Abstract
OBJECTIVES: The objectives of this study were to determine the accuracy of smoking cessation self-reports by cardiac patients who participated in a smoking cessation program, and to determine which patient characteristics are associated with an inaccurate self-report during a follow-up interview 12 months after the start of the program. METHODS: Smoking cessation self-reports (point prevalence abstinence) were validated against salivary cotinine levels. Using χ analyses, patients who reported accurately being a nonsmoker were compared with those who reported inaccurately being a nonsmoker (biochemically verified as smokers) on factors the literature has indicated to be associated with inaccurate self-report in smoking. Potential predictors of inaccurate self-report of smoking (P ≤ 0.20 in univariate analyses) were subsequently tested in a multivariate logistic regression analysis. RESULTS: Of the 95 patients tested, almost 25% inaccurately reported having quit smoking at a cutoff of 10-ng/mL cotinine in saliva. The data show more underreporting of smoking among patients who received a face-to-face counseling intervention and among patients with an intermediate education level. There was significantly less underreporting among patients characterized as having a Type D personality. CONCLUSIONS: These findings suggest that underreporting of smoking status in cardiac patients who participate in a smoking cessation program is high, especially in those who receive intensive face-to-face counseling. Having a Type D personality seems to be a protective factor, whereas having an intermediate level of education is a risk factor for inaccurate reporting. Biochemical validation in high-risk populations is highly needed, ideally accompanied by alternative forms of verification. Optimal validation testing in smoking cessation studies of cardiac patients is difficult because of high refusal rates, no-show, and organizational difficulties.
OBJECTIVES: The objectives of this study were to determine the accuracy of smoking cessation self-reports by cardiac patients who participated in a smoking cessation program, and to determine which patient characteristics are associated with an inaccurate self-report during a follow-up interview 12 months after the start of the program. METHODS: Smoking cessation self-reports (point prevalence abstinence) were validated against salivary cotinine levels. Using χ analyses, patients who reported accurately being a nonsmoker were compared with those who reported inaccurately being a nonsmoker (biochemically verified as smokers) on factors the literature has indicated to be associated with inaccurate self-report in smoking. Potential predictors of inaccurate self-report of smoking (P ≤ 0.20 in univariate analyses) were subsequently tested in a multivariate logistic regression analysis. RESULTS: Of the 95 patients tested, almost 25% inaccurately reported having quit smoking at a cutoff of 10-ng/mL cotinine in saliva. The data show more underreporting of smoking among patients who received a face-to-face counseling intervention and among patients with an intermediate education level. There was significantly less underreporting among patients characterized as having a Type D personality. CONCLUSIONS: These findings suggest that underreporting of smoking status in cardiac patients who participate in a smoking cessation program is high, especially in those who receive intensive face-to-face counseling. Having a Type D personality seems to be a protective factor, whereas having an intermediate level of education is a risk factor for inaccurate reporting. Biochemical validation in high-risk populations is highly needed, ideally accompanied by alternative forms of verification. Optimal validation testing in smoking cessation studies of cardiac patients is difficult because of high refusal rates, no-show, and organizational difficulties.
Authors: Diann E Gaalema; Blair Yant; Sherrie Khadanga; Patrick D Savage; Jason L Rengo; Philip A Ades Journal: Health Psychol Date: 2022-04-07 Impact factor: 5.556
Authors: Kristen R Fox; Rose Y Hardy; Philip Moons; Adrienne H Kovacs; Koen Luyckx; Silke Apers; Stephen C Cook; Gruschen Veldtman; Susan M Fernandes; Kamila White; Shelby Kutty; Jamie L Jackson Journal: J Behav Med Date: 2021-06-29
Authors: N Berndt; H de Vries; L Lechner; F Van Acker; E S Froelicher; F Verheugt; A Mudde; C Bolman Journal: Neth Heart J Date: 2017-01 Impact factor: 2.380