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Orenstein L, Chetrit A, Kalter-Leibovici O. Factors associated with attempting and succeeding in smoking cessation following a National Tobacco Control Plan: Analysis of two nationwide surveys (2010 and 2017). Addict Behav 2024; 149:107912. [PMID: 37979463 DOI: 10.1016/j.addbeh.2023.107912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 11/09/2023] [Accepted: 11/12/2023] [Indexed: 11/20/2023]
Abstract
INTRODUCTION Lower rates of smoking cessation among disadvantaged groups contribute to widening health-disparities. With this recognition, in 2010 free-of-charge/subsidized smoking cessation services became available to all Israeli residents through the not-for-profit health plans. METHODS Based on two cross-sectional National Social Surveys, data on adult ever-smokers were used (n = 2,998 in 2010 and 2,859 in 2017). The outcome variable comprised three categories: no quit attempt, unsuccessful quit attempt and successful quit attempt. Changes over-time and demographic, socioeconomic, health- and smoking-related factors associated with quitting attempts and success were tested in the pooled sample, using multivariable multinomial logistic regression models. RESULTS The pooled sample of the two surveys included 2,611 participants (44.2%) who were successful quitters, 1,941 (32.7%) who reported an unsuccessful quit attempt, and 1,305 (23.1%) smokers who did not attempt to quit. Compared to 2010, ever-smokers in 2017 were less likely to report an unsuccessful quit attempt (adjusted OR = 0.81, 95%CI: 0.70-0.94). The likelihood of successfully quitting was similar in both surveys. Older age and self-reported health problem were associated with higher likelihood of quitting attempt. Meeting living expenses, being overweight/obese, engaging in physical activity and heavy smoking were associated with higher likelihood of successful smoking cessation; while environmental tobacco exposure was associated with 43% lower likelihood of successful cessation. Finally, there was an interaction between education and ethnicity. Higher education level was associated with a greater likelihood both to attempt to quit smoking and to succeed among Jewish participants, while the opposite phenomenon was observed among Arab smokers. CONCLUSIONS Despite the availability of subsidized smoking cessation services, social disparities in smoking cessation rates persist. Efforts should focus on proactively reaching subpopulations with low cessation rates, using tailored strategies for successful smoking cessation. Promoting smoke free homes and workplaces should be prioritized.
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Affiliation(s)
- Liat Orenstein
- Research Center for Population Health, The Gertner Institute for Epidemiology and Health Policy Research, Chaim Sheba Medical Center, Ramat-Gan 52621, Israel; Epidemiology & Preventive Medicine Department, School of Public Health, Faculty of Medicine, Tel-Aviv University, Tel-Aviv 6997801, Israel.
| | - Angela Chetrit
- Research Center for Population Health, The Gertner Institute for Epidemiology and Health Policy Research, Chaim Sheba Medical Center, Ramat-Gan 52621, Israel; School of Public Health, Faculty of Medicine, Tel-Aviv University, Tel-Aviv 6997801, Israel.
| | - Ofra Kalter-Leibovici
- Research Center for Population Health, The Gertner Institute for Epidemiology and Health Policy Research, Chaim Sheba Medical Center, Ramat-Gan 52621, Israel; Epidemiology & Preventive Medicine Department, School of Public Health, Faculty of Medicine, Tel-Aviv University, Tel-Aviv 6997801, Israel.
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Alkan Ö, Bayrakçeken E, Yarali S. Prevalence and predictors of tobacco use in older adults: a case in Turkey. JOURNAL OF SUBSTANCE USE 2023. [DOI: 10.1080/14659891.2023.2194413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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Patriota P, Guessous I, Marques-Vidal P. No changes in dietary intake after quitting smoking; a prospective study in Switzerland. BMC Nutr 2021; 7:34. [PMID: 34256867 PMCID: PMC8278689 DOI: 10.1186/s40795-021-00440-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Accepted: 05/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND After quitting smoking, quitters frequently increase their weight and change their dietary intake. Still, most studies on the topic are over 20 years old and focused on few dietary markers. We analysed the changes in weight and dietary intake after quitting smoking using a large panel of dietary markers. METHODS Prospective study including 5064 participants, 169 of whom (3.3%) quitted during a median follow-up of 5 years. Dietary intake was assessed using a food frequency questionnaire. Participants were excluded if they lacked dietary data or reported extreme total energy intakes (TEI) < 850 or > 4000 kcal/day. RESULTS Data from 128 participants (43.8% women, aged 56.0 ± 10.0 years) were used. After quitting smoking, mean weight increased 2.1 ± 0.7 kg; the majority (58%) of the participants gained over 1 kg, and only 7.1% were on a diet to reduce their weight. Total protein intake increased from (median [interquartile range]) 14.4 [12.9-16.4] to 15.1 [13.4-17.9] % of total energy intake (TEI), p = 0.008, while animal protein intake increased from 9.7 [8.0-12.1] to 10.8 [8.5-13.5] %TEI, p = 0.011. Fish intake increased from 27 [17-45] to 37 [19-55] g/day, p = 0.016 and dairy intake decreased from 177 [94-288] to 150 [77-243] g/day, p = 0.009. No other changes were found. Among the 68 (53%) participants who reported time since quitting, quitting for <=1 year led to a decreased consumption of fruits, while the opposite was found for participants who quit for longer than one year. No associations were found between weight or dietary changes and time since quitting. CONCLUSIONS People who quit smoking tend to gain weight, do not significantly change their dietary intake, and seem to make little effort to prevent weight gain. Systematic dietary support should be provided to all smokers wishing to quit.
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Affiliation(s)
- Pollyanna Patriota
- Department of Nutrition, Institute of Health Sciences, Federal University of Triangulo Mineiro, Uberaba, Brazil
| | - Idris Guessous
- Division of primary care medicine, Department of primary care medicine, Geneva university hospitals, Geneva, Switzerland
| | - Pedro Marques-Vidal
- Department of medicine, internal medicine, Lausanne university hospital (CHUV) and University of Lausanne, rue du Bugnon 46, 1011, Lausanne, Switzerland.
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Kastaun S, Viechtbauer W, Leve V, Hildebrandt J, Funke C, Klosterhalfen S, Lubisch D, Reddemann O, Raupach T, Wilm S, Kotz D. Quit attempts and tobacco abstinence in primary care patients: follow-up of a pragmatic, two-arm cluster randomised controlled trial on brief stop-smoking advice - ABC versus 5As. ERJ Open Res 2021; 7:00224-2021. [PMID: 34322551 PMCID: PMC8311137 DOI: 10.1183/23120541.00224-2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 11/14/2022] Open
Abstract
We developed a 3.5-h training for general practitioners (GPs) in delivering brief stop-smoking advice according to different methods (ABC, 5As). In a pragmatic, cluster randomised controlled trial our training proved effective in increasing GP-delivered rates of such advice (from 13% to 33%). In this follow-up analysis we examined the effect of the training and compared ABC versus 5As on patient-reported quit attempts and point prevalence abstinence at weeks 4, 12 and 26 following GP consultation. Follow-up data were collected in 1937 smoking patients - independently of the receipt of GP advice - recruited before or after the training of 69 GPs. At week 26, ∼70% of the patients were lost to follow-up. All 1937 patients were included in an intention-to-treat analysis; missing outcome data were imputed. Quit attempts and abstinence rates did not differ significantly from pre- to post-training or between patients from the ABC versus the 5As group. However, ancillary analyses showed that patients who received GP advice compared to those who did not had two times higher odds of reporting a quit attempt at all follow-ups and abstinence at week 26. We reported that our training increases GP-delivered rates of stop-smoking advice, and the present analysis confirms that advice is associated with increased quit attempts and abstinence rates in patients. However, our training did not further improve these rates, which might be related to patients' loss to follow-up or to contextual factors, e.g. access to free evidence-based cessation treatment, which can hamper the transfer of GPs' advice into patients' behaviour change.
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Affiliation(s)
- Sabrina Kastaun
- Institute of General Practice (ifam), Centre for Health and Society (chs), Addiction Research and Clinical Epidemiology Unit, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Wolfgang Viechtbauer
- Dept of Psychiatry and Neuropsychology, Maastricht University, Maastricht, Netherlands
| | - Verena Leve
- Institute of General Practice (ifam), Centre for Health and Society (chs), Addiction Research and Clinical Epidemiology Unit, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Jaqueline Hildebrandt
- Institute of General Practice (ifam), Centre for Health and Society (chs), Addiction Research and Clinical Epidemiology Unit, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Christian Funke
- Institute of General Practice (ifam), Centre for Health and Society (chs), Addiction Research and Clinical Epidemiology Unit, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Stephanie Klosterhalfen
- Institute of General Practice (ifam), Centre for Health and Society (chs), Addiction Research and Clinical Epidemiology Unit, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Diana Lubisch
- Institute of General Practice (ifam), Centre for Health and Society (chs), Addiction Research and Clinical Epidemiology Unit, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Olaf Reddemann
- Institute of General Practice (ifam), Centre for Health and Society (chs), Addiction Research and Clinical Epidemiology Unit, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Tobias Raupach
- Institute for Medical Education, University Hospital Bonn, Bonn, Germany
- Behavioral Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Stefan Wilm
- Institute of General Practice (ifam), Centre for Health and Society (chs), Addiction Research and Clinical Epidemiology Unit, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Daniel Kotz
- Institute of General Practice (ifam), Centre for Health and Society (chs), Addiction Research and Clinical Epidemiology Unit, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Behavioral Science and Health, Institute of Epidemiology and Health Care, University College London, London, UK
- Dept of Family Medicine, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands
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