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Intergenerational Social Mobility and Smoking Trajectories in Middle-Aged Adults – The French CONSTANCES Cohort Study (2012–2020).

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Title: Intergenerational Social Mobility and Smoking Trajectories in Middle-Aged Adults – The French CONSTANCES Cohort Study (2012–2020).
Authors: Juhl Andersen, Astrid (AUTHOR), Mary-Krause, Murielle (AUTHOR), Wiernik, Emmanuel (AUTHOR), Goldberg, Marcel (AUTHOR), Zins, Marie (AUTHOR), Melchior, Maria (AUTHOR)
Source: Substance Use & Misuse. 2026, Vol. 61 Issue 6, p809-817. 9p.
Subjects: Risk assessment, Smoking cessation, Mathematical variables, Statistical correlation, Self-evaluation, Research funding, Smoking, Multiple regression analysis, Statistical sampling, Social mobility, Descriptive statistics, Longitudinal method, Odds ratio, Non-smokers, Research, Statistics, Ex-smokers, Data analysis software, Confidence intervals, Comparative studies, Intergenerational relations, Employment, Social classes, Epidemiological research, Adults, Middle age
Geographic Terms: France
Abstract: Introduction: Tobacco smoking remains a public health challenge, particularly among low-income populations. Beyond individuals' own socioeconomic position, their family background and the type of social trajectory they experienced, could also be related to smoking behaviors as tobacco use starts generally in adolescence. In the present study, we tested the association between intergenerational social mobility and individuals' smoking trajectories up to midlife. Methods: Using data from the CONSTANCES cohort, a French longitudinal population-based study, we applied Group-Based Trajectory Modeling to analyze participants' smoking patterns from 2012 to 2020 among 201,731 participants. These groups were combined with baseline lifetime smoking status to differentiate between never smokers and former smokers. Participants were classified into four groups based on information about their own and their parents' occupational status: persistently high socioeconomic status (SES), upward mobility, downward mobility, and persistently low SES. Multinomial logistic regression models were used to study the relationship between social mobility patterns and smoking trajectories. Results: Three groups of participants were identified: nonsmokers (75.4%), former smokers (9.3%), and long-term smokers (15.3%). Upward mobility was associated with decreased odds of long-term smoking, while downward mobility and persistently low SES was associated with increased odds of long-term smoking. Both upward social mobility and persistently low SES were associated with lower odds of quitting smoking compared to persistently high SES. Conclusions: Long-term smoking behaviors are significantly associated with social mobility patterns from childhood to adulthood. This highlights the necessity to consider early life influences in smoking cessation programs. [ABSTRACT FROM AUTHOR]
Copyright of Substance Use & Misuse is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Intergenerational Social Mobility and Smoking Trajectories in Middle-Aged Adults – The French CONSTANCES Cohort Study (2012–2020).
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  Data: <searchLink fieldCode="JN" term="%22Substance+Use+%26+Misuse%22">Substance Use & Misuse</searchLink>. 2026, Vol. 61 Issue 6, p809-817. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Smoking+cessation%22">Smoking cessation</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+variables%22">Mathematical variables</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+correlation%22">Statistical correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Self-evaluation%22">Self-evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Smoking%22">Smoking</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Social+mobility%22">Social mobility</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Non-smokers%22">Non-smokers</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Ex-smokers%22">Ex-smokers</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Intergenerational+relations%22">Intergenerational relations</searchLink><br /><searchLink fieldCode="DE" term="%22Employment%22">Employment</searchLink><br /><searchLink fieldCode="DE" term="%22Social+classes%22">Social classes</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiological+research%22">Epidemiological research</searchLink><br /><searchLink fieldCode="DE" term="%22Adults%22">Adults</searchLink><br /><searchLink fieldCode="DE" term="%22Middle+age%22">Middle age</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22France%22">France</searchLink>
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  Data: Introduction: Tobacco smoking remains a public health challenge, particularly among low-income populations. Beyond individuals' own socioeconomic position, their family background and the type of social trajectory they experienced, could also be related to smoking behaviors as tobacco use starts generally in adolescence. In the present study, we tested the association between intergenerational social mobility and individuals' smoking trajectories up to midlife. Methods: Using data from the CONSTANCES cohort, a French longitudinal population-based study, we applied Group-Based Trajectory Modeling to analyze participants' smoking patterns from 2012 to 2020 among 201,731 participants. These groups were combined with baseline lifetime smoking status to differentiate between never smokers and former smokers. Participants were classified into four groups based on information about their own and their parents' occupational status: persistently high socioeconomic status (SES), upward mobility, downward mobility, and persistently low SES. Multinomial logistic regression models were used to study the relationship between social mobility patterns and smoking trajectories. Results: Three groups of participants were identified: nonsmokers (75.4%), former smokers (9.3%), and long-term smokers (15.3%). Upward mobility was associated with decreased odds of long-term smoking, while downward mobility and persistently low SES was associated with increased odds of long-term smoking. Both upward social mobility and persistently low SES were associated with lower odds of quitting smoking compared to persistently high SES. Conclusions: Long-term smoking behaviors are significantly associated with social mobility patterns from childhood to adulthood. This highlights the necessity to consider early life influences in smoking cessation programs. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Substance Use & Misuse is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/10826084.2025.2577279
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      – Code: eng
        Text: English
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      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Smoking cessation
        Type: general
      – SubjectFull: Mathematical variables
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
      – SubjectFull: Self-evaluation
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      – SubjectFull: Research funding
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      – SubjectFull: Smoking
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      – SubjectFull: Multiple regression analysis
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      – SubjectFull: Statistical sampling
        Type: general
      – SubjectFull: Social mobility
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Odds ratio
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      – SubjectFull: Non-smokers
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      – SubjectFull: France
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      – TitleFull: Intergenerational Social Mobility and Smoking Trajectories in Middle-Aged Adults – The French CONSTANCES Cohort Study (2012–2020).
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              Text: 2026
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