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Alcohol, tobacco and cannabis use are associated with job loss at follow-up: Findings from the CONSTANCES cohort


Autoři: Guillaume Airagnes aff001;  Cédric Lemogne aff001;  Pierre Meneton aff006;  Marie Plessz aff006;  Marcel Goldberg aff002;  Nicolas Hoertel aff001;  Yves Roquelaure aff007;  Frédéric Limosin aff001;  Marie Zins aff002
Působiště autorů: Hôpitaux Universitaires Paris Ouest, Department of Psychiatry and Addictology, AP-HP, Paris, France aff001;  Faculté de Médecine, Université Paris Descartes, Sorbonne Paris Cité, Paris, France aff002;  UMS 011, Population-based Epidemiological Cohorts, Inserm, Villejuif, France aff003;  UMR 1168, VIMA, Inserm, Villejuif, France aff004;  U 894, Centre Psychiatrie et Neurosciences, Inserm, Paris, France aff005;  UMR 1142, Inserm, Sorbonne Université, Université Paris, Paris, France aff006;  UMR 1085, Ester, Irest Inserm, Université d’Angers, Angers, France aff007
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0222361

Souhrn

Background

Substance use is more prevalent among unemployed subjects compared to employed ones. However, quantifying the risk subsequent of job loss at short-term according to substance use remains underexplored as well as examining if this association persist across various sociodemographic and occupational positions previously linked to job loss. We examined this issue prospectively for alcohol, tobacco, cannabis use and their combination, among a large population-based sample of men and women, while taking into account age, gender, overall health status and depressive symptoms.

Methods

From the French population-based CONSTANCES cohort, 18,879 working participants were included between 2012 and 2016. At baseline, alcohol use disorder risk according to the Alcohol Use Disorders Identification Test (mild, dangerous, problematic or dependence), tobacco (non-smoker, former smoker, 1–9, 10–19, >19 cigarettes/day) and cannabis use (never, not in past year, less than once a month, once a month or more) were assessed. Employment status at one-year (working versus not working) was the dependent variable. Logistic regressions provided Odds Ratios(OR(95%CI)) of job loss at one-year, adjusting for age, gender, self-reported health and depressive state (measured with the Center of Epidemiologic Studies Depression scale). Stratified analyses were performed for education, occupational grade, household income, job stress (measured with the Effort-Reward Imbalance), type of job contract, type of work time and history of unemployment. In sensitivity analyses, employment status over a three-year follow-up was used as dependent variable.

Results

Alcohol, tobacco and cannabis use were associated with job loss, from the second to the highest category: 1.46(95%CI:1.23–1.73) to 1.92(95%CI:1.34–2.75), 1.26(95%CI:1.09–1.46) to 1.78(95%CI:1.26–2.54) and 1.45(95%CI:1.27–1.66) to 2.68(95%CI:2.10–3.42), respectively, and with dose-dependent relationships (all p for trend <0.001). When introduced simultaneously, associations remained significant for the three substances without any between-substance interactions. Associations remained significant across almost all stratifications and over a three-year follow-up as well as after adjustment for all the sociodemographic and occupational factors.

Conclusions

Alcohol, tobacco and cannabis use were independently associated with job loss at short-term, with dose-dependent relationships. This knowledge will help refining information and prevention strategies. Importantly, even moderate levels of alcohol, tobacco or cannabis use are associated with job loss at short-term and all sociodemographic and occupational positions are potentially concerned.

Klíčová slova:

Medicine and health sciences – Pharmacology – Behavioral pharmacology – Recreational drug use – Cannabis – Alcohol consumption – Health care – Public and occupational health – Socioeconomic aspects of health – Mental health and psychiatry – Mood disorders – Depression – Social sciences – Economics – Labor economics – Employment – Jobs – Sociology – Education – Educational attainment – Biology and life sciences – Nutrition – Diet – Psychology – Behavior – Habits – Smoking habits


Zdroje

1. Rehm J, Mathers C, Popova S, Thavorncharoensap M, Teerawattananon Y, Patra J (2009) Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet 373: 2223–2233. doi: 10.1016/S0140-6736(09)60746-7 19560604

2. Shield KD, Rehm MX, Rehm J (2015) Social costs of addiction in Europe. Impact of Addictive Substances and Behaviours on Individual and Societal Well-being: 181–188.

3. WHO (2009) Global Health Risks: Mortality and Burden of Disease Attributable to Selected Major Risks: World Health Organization.

4. Eurostat Février 2018. Le taux de chômage à 8,5% dans la zone euro. Communiqué de presse euroindicateurs. 4 avril 2018. http://ec.europa.eu/eurostat/documents/2995521/8782909/3-04042018-BP-FR.pdf/df516d72-780a-4db4-9d19-c18edb68f928.

5. Henkel D (2011) Unemployment and Substance Use: A Review of the Literature (1990–2010). Current Drug Abuse Reviews 4: 4–27. 21466502

6. Compton WM, Gfroerer J, Conway KP, Finger MS (2014) Unemployment and substance outcomes in the United States 2002–2010. Drug & Alcohol Dependence 142: 350–353.

7. Eliason M (2014) Alcohol-related morbidity and mortality following involuntary job loss: evidence from Swedish register data. J Stud Alcohol Drugs 75: 35–46. doi: 10.15288/jsad.2014.75.35 24411795

8. Eliason M, Storrie D (2009) Job loss is bad for your health–Swedish evidence on cause-specific hospitalization following involuntary job loss. Social Science & Medicine 68: 1396–1406.

9. Eliason M, Storrie D (2009) Does Job Loss Shorten Life? Journal of Human Resources 44: 277–302.

10. Kaspersen SL, Pape K, Vie GÅ, Ose SO, Krokstad S, Gunnell D, et al. (2016) Health and unemployment: 14 years of follow-up on job loss in the Norwegian HUNT Study. European Journal of Public Health 26: 312–317. doi: 10.1093/eurpub/ckv224 26715474

11. Franco S, Olfson M, Wall MM, Wang S, Hoertel N, Blanco C (2019) Shared and specific associations of substance use disorders on adverse outcomes: A national prospective study. Drug and Alcohol Dependence 201: 212–219. doi: 10.1016/j.drugalcdep.2019.03.003 31252355

12. Blanco C, Wall MM, Hoertel N, Krueger RF, Liu S-M, Grant BF, et al. (2019) Psychiatric disorders and risk for multiple adverse outcomes: a national prospective study. Molecular psychiatry.

13. Booth BM, Feng W (2002) The impact of drinking and drinking consequences on short-term employment outcomes in at-risk drinkers in six southern states. The Journal of Behavioral Health Services & Research 29: 157–166.

14. Leino-Arjas P, Liira J, Mutanen P, Malmivaara A, Matikainen E (1999) Predictors and consequences of unemployment among construction workers: prospective cohort study. BMJ: British Medical Journal 319: 600–605. doi: 10.1136/bmj.319.7210.600 10473472

15. Jusot F, Khlat M, Rochereau T, Serme C (2008) Job loss from poor health, smoking and obesity: a national prospective survey in France. Journal of Epidemiology and Community Health 62: 332–337. doi: 10.1136/jech.2007.060772 18339826

16. Zhang C, Brook JS, Leukefeld CG, Brook DW (2016) Trajectories of marijuana use from adolescence to adulthood as predictors of unemployment status in the early forties. The American Journal on Addictions 25: 203–209. doi: 10.1111/ajad.12361 26991779

17. Danielsson A-K, Falkstedt D, Hemmingsson T, Allebeck P, Agardh E (2015) Cannabis use among Swedish men in adolescence and the risk of adverse life course outcomes: results from a 20 year-follow-up study. Addiction 110: 1794–1802. doi: 10.1111/add.13042 26172111

18. Zuelke AE, Luck T, Schroeter ML, Witte AV, Hinz A, Engel C, et al. (2018) The association between unemployment and depression-Results from the population-based LIFE-adult-study. J Affect Disord 235: 399–406. doi: 10.1016/j.jad.2018.04.073 29677604

19. Wanberg CR, Kanfer R, Hamann DJ, Zhang Z (2016) Age and reemployment success after job loss: An integrative model and meta-analysis. Psychol Bull 142: 400–426. doi: 10.1037/bul0000019 26011790

20. Alavinia SM, Burdorf A (2008) Unemployment and retirement and ill-health: a cross-sectional analysis across European countries. Int Arch Occup Environ Health 82: 39–45. doi: 10.1007/s00420-008-0304-6 18264715

21. Whooley MA, Kiefe CI, Chesney MA, Markovitz JH, Matthews K, Hulley SB (2002) Depressive symptoms, unemployment, and loss of income: The CARDIA Study. Archives of Internal Medicine 162: 2614–2620. doi: 10.1001/archinte.162.22.2614 12456234

22. Åhs A, Westerling R (2005) Self-rated health in relation to employment status during periods of high and of low levels of unemployment. The European Journal of Public Health 16: 294–304.

23. Giatti L, Barreto SM, César CC (2010) Unemployment and self-rated health: Neighborhood influence. Social Science & Medicine 71: 815–823.

24. Covizzi I (2008) Does Union Dissolution Lead to Unemployment? A Longitudinal Study of Health and Risk of Unemployment for Women and Men Undergoing Separation. European Sociological Review 24: 347–361.

25. Dooley D, Catalano R, Wilson G (1994) Depression and unemployment: panel findings from the Epidemiologic Catchment Area study. American journal of community psychology 22: 745–765. 7639201

26. Siegrist J, Li J (2016) Associations of Extrinsic and Intrinsic Components of Work Stress with Health: A Systematic Review of Evidence on the Effort-Reward Imbalance Model. Int J Environ Res Public Health 13: 432. doi: 10.3390/ijerph13040432 27104548

27. Fullerton AS, Long MA, Anderson KF (2016) Job Insecurity and Substance Use in the United States: Stress, Strain, and the Gendering of Precarious Employment. Research in the Sociology of Work: Emerald Group Publishing Limited. pp. 241–271.

28. Goldberg M, Carton M, Descatha A, Leclerc A, Roquelaure Y, Santin G, et al. (2017) CONSTANCES: a general prospective population-based cohort for occupational and environmental epidemiology: cohort profile. Occup Environ Med 74: 66–71. doi: 10.1136/oemed-2016-103678 27884936

29. Gache P, Michaud P, Landry U, Accietto C, Arfaoui S, Wenger O, et al. (2005) The Alcohol Use Disorders Identification Test (AUDIT) as a screening tool for excessive drinking in primary care: reliability and validity of a French version. Alcohol Clin Exp Res 29: 2001–2007. doi: 10.1097/01.alc.0000187034.58955.64 16340457

30. Lohse T, Rohrmann S, Bopp M, Faeh D (2016) Heavy Smoking Is More Strongly Associated with General Unhealthy Lifestyle than Obesity and Underweight. PLoS One 11: e0148563. doi: 10.1371/journal.pone.0148563 26910775

31. DeSalvo KB, Bloser N, Reynolds K, He J, Muntner P (2006) Mortality prediction with a single general self-rated health question. J Gen Intern Med 21: 267. doi: 10.1111/j.1525-1497.2005.00291.x 16336622

32. Morin AJ, Moullec G, Maiano C, Layet L, Just JL, Ninot G (2011) Psychometric properties of the Center for Epidemiologic Studies Depression Scale (CES-D) in French clinical and nonclinical adults. Rev Epidemiol Sante Publique 59: 327–340. doi: 10.1016/j.respe.2011.03.061 21925817

33. Schneider SL (2013) The International Standard Classification of Education 2011. In: Birkelund GE, editor. Class and Stratification Analysis (Comparative Social Research, Volume 30) Emerald Group Publishing Limited. pp. 365–379.

34. Haukoos JS, Newgard CD (2007) Advanced Statistics: Missing Data in Clinical Research—Part 1: An Introduction and Conceptual Framework. Academic Emergency Medicine 14: 662–668. doi: 10.1197/j.aem.2006.11.037 17538078

35. Insee Références, édition 2018—Fiches—Chômage. https://www.insee.fr/fr/statistiques/fichier/3573767/ecrt18-f2-1-chomage.pdf.

36. Schunck R, Rogge BG (2012) Unemployment and Smoking: Causation, Selection, or Common Cause?-Evidence from Longitudinal Data. SOEPpaper 491.

37. Halpern MT, Shikiar R, Rentz AM, Khan ZM (2001) Impact of smoking status on workplace absenteeism and productivity. Tobacco control 10: 233–238. doi: 10.1136/tc.10.3.233 11544387

38. Greenberg PE, Sisitsky T, Kessler RC, Finkelstein SN, Berndt ER, Davidson JR, et al. (1999) The economic burden of anxiety disorders in the 1990s. The Journal of clinical psychiatry 60: 427–435. doi: 10.4088/jcp.v60n0702 10453795

39. Mykletun A, Overland S, Aarø LE, Liabø H-M, Stewart R Smoking in relation to anxiety and depression: Evidence from a large population survey: The HUNT study. European Psychiatry 23: 77–84. doi: 10.1016/j.eurpsy.2007.10.005 18082377

40. Karila L, Roux P, Rolland B, Benyamina A, Reynaud M, Aubin HJ, et al. (2014) Acute and long-term effects of cannabis use: a review. Curr Pharm Des 20: 4112–4118. doi: 10.2174/13816128113199990620 24001294

41. Lac A, Luk JW (2018) Testing the Amotivational Syndrome: Marijuana Use Longitudinally Predicts Lower Self-Efficacy Even After Controlling for Demographics, Personality, and Alcohol and Cigarette Use. Prevention Science 19: 117–126. doi: 10.1007/s11121-017-0811-3 28620722


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