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| Name | Class |
|---|---|
| Institut de Recherche en Santé Publique, France | OTHER |
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Problem gambling (PG) is influenced by environmental, psychological, and socioeconomic factors, including impulsivity, depression, anxiety, and characteristics such as marital status, age, and educational level. In France, approximately 5% of adults are affected by PG. Workers with atypical schedules or periods of inactivity at work are at risk of developing problematic gambling behavior. Stress, burnout, and boredom at work can exacerbate these risks. Working atypical hours, such as night shifts, is linked to mental health disorders such as depression and anxiety, which may increase the risk of PG. However, there is a lack of research on the impact of atypical schedules and periods of inactivity on PG. This research will explore the association between work schedules, periods of inactivity, and PG, particularly among workers who may be influenced by gambling norms and the specific characteristics of their jobs.
Problem gambling (PG) can have serious consequences for individuals, their loved ones, and society. It is influenced by environmental, psychological, and socioeconomic factors, including impulsivity, depression, anxiety, and characteristics such as marital status, age, and educational level. In France, approximately 5% of adults are affected by PG. Workers, particularly those with atypical schedules or periods of inactivity at work, are at risk of developing problematic gambling behavior. Stress, burnout, and boredom at work can exacerbate these risks. Working atypical hours, such as night shifts, is also linked to mental health disorders such as depression and anxiety, which could increase vulnerability to PG. However, there is a lack of research on the impact of atypical schedules and periods of inactivity on PG. This research project aims to explore the association between work schedules, periods of inactivity, and PG, particularly among workers who may be influenced by gambling norms and the specific characteristics of their jobs.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Completion of an online survey lasting approximately 25 minutes | Other | Online survey lasting approximately 25 minutes |
| Measure | Description | Time Frame |
|---|---|---|
| Association between atypical working hours and time spent inactive at work and the ICJE (= Indice Canadien du jeu excessif = Canadian Problem Gambling Index) score | The Canadian Problem Gambling Index assesses the prevalence of gambling and problem gambling in the general population and has been used in France since the first epidemiological survey on gambling. It contains indicators of social context and degrees of severity and the risk levels of gamblers are estimated based on self-assessed criteria. The index consists of 9 questions covering the last 12 months, answered using a Likert scale (never, sometimes, most of the time, almost always). Each player is assigned a score ranging from 0 to 27 points, depending on the severity of their gambling problems, which allows players to be categorized into four distinct groups: "low-risk gambler" (score = 0), "moderate-risk gambler" (score = 1-2), "moderate-risk gambler" (score = 3-7), and "excessive gambler" (score = 8 and above). | Over a period of 2 months |
| Measure | Description | Time Frame |
|---|---|---|
| A. Links between boredom at work, atypical working hours, idle time, and problem gambling | The DUBS (Dutch Boredom Scale) score will be used to evaluate the link between the presence of atypical working hours (dichotomous variable "yes/no" + if "yes": categorical variable: working hour categories) and perceived inactivity time (continuous variable) on the Canadian Problem Gambling Index score (continuous variable). The DUBS consists of 8 questions to be answered according to frequency in which 0 =Never, 1 = Almost Never, 2 = Sometimes, 3 = Often, 4 = Very Often, 5= Always. The higher the score, the greater the amount of boredom experienced. |
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Inclusion Criteria:
Exclusion Criteria:
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The primary analysis population will include all participants who meet the inclusion criteria and who have completed the ICJE (Indice Canadien du jeu excessif= Canadian Excessive Gambling Index) score and the primary variables of interest (working hours and perceived downtime).
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Amandine Luquiens, Professor | Contact | +334.66.68.69.98 | amandine.luquiens@chu-nimes.fr | |
| Anissa MEGZARI | Contact | 0466684236 | drc@chu-nimes.fr |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHU de Nîmes | Nîmes | Gard | 30029 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 22036009 | Background | Billieux J, Rochat L, Ceschi G, Carre A, Offerlin-Meyer I, Defeldre AC, Khazaal Y, Besche-Richard C, Van der Linden M. Validation of a short French version of the UPPS-P Impulsive Behavior Scale. Compr Psychiatry. 2012 Jul;53(5):609-15. doi: 10.1016/j.comppsych.2011.09.001. Epub 2011 Oct 27. | |
| 35308321 | Background |
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| ID | Term |
|---|---|
| D005715 | Gambling |
| D007175 | Impulsive Behavior |
| ID | Term |
|---|---|
| D012309 | Risk-Taking |
| D001519 | Behavior |
| D007174 | Disruptive, Impulse Control, and Conduct Disorders |
| D001523 | Mental Disorders |
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| Over a period of 2 months |
| B. Links between impulsivity, atypical working hours, idle time, and problem gambling. | The UPPS-P (Urgency-Premeditation-Perseverance-Sensation Seeking-Positive) impulsive behavior scale score will be used to evaluate the link between atypical working hours (dichotomous variable "yes/no" + if "yes": categorical variable: working hour categories) and perceived downtime (continuous variable) on the ICJE score (continuous variable). The UPPS-P Impulsive Behavior Scale is a 59-item self report scale to assess impulsive personality. The scale can be used with adults or adolescents (ages 13+) to identify the separate personality facets that have been previously lumped together under the term "impulsivity". | Over a period of 2 months |
| C. Links between emotional dysregulation, atypical working hours, idle time and problem gambling. | Interaction between the score on the Difficulties in Emotion Regulation Scale (DERS) scale, the presence of atypical working hours (dichotomous variable "yes/no" + if "yes": categorical variable: working hour categories) and perceived downtime (continuous variable) on the ICJE score (continuous variable). The DERS is a 36-item a measure designed to assess clinically relevant difficulties in emotion regulation and provides valuable insights into an individual's ability to understand, accept, and manage emotions effectively. The 36 questions can be answered by Almost Never, Sometimes, About half the time, Most of the time or Almost always with scores ranging from 1 - 5 for each answer. | Over a period of 2 months |
| D. Links between anxiety, atypical working hours, idle time and problem gambling. | Interaction between the Generalized Anxiety Disorder 7-item (GAD-7) scale score, the presence of atypical working hours (dichotomous variable "yes/no" + if "yes": categorical variable: working hour categories) and perceived downtime (continuous variable) on the ICJE score (continuous variable). The GAD 7 is an easy-to-perform initial screening tool for generalized anxiety disorder. Comprising seven items, the GAD-7 measures the frequency of anxiety symptoms over the past two weeks, with respondents rating each item on a scale from "not at all" to "nearly every day." | Over a period of 2 months |
| E. Links between depression, atypical working hours, idle time and problem gambling. | Interaction between the Patient Health Questionnaire (PHQ) 9 score, the presence of atypical working hours (dichotomous variable "yes/no" + if "yes": categorical variable: working hour categories) and perceived downtime (continuous variable) on the ICJE score (continuous variable) | Over a period of 2 months |
| F. Links between quality of life, atypical working hours, idle time and problem gambling. | Interaction between the Gambling Quality of Life Scale -brief (GQoLS-Brief) brief scale score, the presence of atypical working hours (dichotomous variable "yes/no" + if "yes": categorical variable: working hour categories) and perceived inactivity time (continuous variable) on the ICJE score (continuous variable). The GQoLS -brief assesses the impact of gambling disorder (GD) on quality of life (QoL) and contains questions scored on a 4-point Likert scale. | Over a period of 2 months |
| G. Links between perceived prescriptive gaming norms at work, atypical working hours, idle time and problem gambling. | G. Interaction between the Gambling Attitudes and Injunctive Norms Scale scale score, the presence of atypical working hours (dichotomous variable "yes/no" + if "yes": categorical variable: working hour categories) and perceived inactivity time (continuous variable) on the ICJE score (continuous variable).The Gambling Attitudes and Injunctive Norms Scale (GAINS; Neighbors et al., 2007) was developed to examine relationships among injunctive norms and college student gambling. The 32-item scale consists of sixteen attitudinal items, asking participants about their approval or disapproval of students engaging in different gambling behaviors. Mean score for the sample on these items serves as the actual injunctive norms comparison. The remaining 16 perceived injunctive norms items ask "How do you think most college students feel about other students' gambling behavior?" The items consist of a 5-point Likert scale ranging from "Strongly Disapprove" to "Strongly Approve." | Over a period of 2 months |
| Binde P, Romild U. Risk of problem gambling among occupational groups: A population and registry study. Nordisk Alkohol Nark. 2020 Jun;37(3):262-278. doi: 10.1177/1455072519899779. Epub 2020 Mar 13. |
| 29355339 | Background | Brodsky A, Amabile TM. The downside of downtime: The prevalence and work pacing consequences of idle time at work. J Appl Psychol. 2018 May;103(5):496-512. doi: 10.1037/apl0000294. Epub 2018 Jan 22. |
| 17346381 | Background | Carballeira Y, Dumont P, Borgacci S, Rentsch D, de Tonnac N, Archinard M, Andreoli A. Criterion validity of the French version of Patient Health Questionnaire (PHQ) in a hospital department of internal medicine. Psychol Psychother. 2007 Mar;80(Pt 1):69-77. doi: 10.1348/147608306X103641. |
| 14768665 | Background | Dixon MR, Marley J, Jacobs EA. Delay discounting by pathological gamblers. J Appl Behav Anal. 2003 Winter;36(4):449-58. doi: 10.1901/jaba.2003.36-449. |
| 34744027 | Background | Fluharty M, Paul E, Fancourt D. Predictors and patterns of gambling behaviour across the COVID-19 lockdown: Findings from a UK cohort study. J Affect Disord. 2022 Feb 1;298(Pt A):1-8. doi: 10.1016/j.jad.2021.10.117. Epub 2021 Oct 29. |
| 30986818 | Background | Ioannidis K, Hook R, Wickham K, Grant JE, Chamberlain SR. Impulsivity in Gambling Disorder and problem gambling: a meta-analysis. Neuropsychopharmacology. 2019 Jul;44(8):1354-1361. doi: 10.1038/s41386-019-0393-9. Epub 2019 Apr 16. |
| 41021183 | Background | Kasemi A, Grosemans E, Amanda R, Zaman B, De Cock R. Playing Sports, Placing Sports Bets? Sports Club Membership, Gambling Norms and Sports Gambling Behavior among Flemish Youth. J Gambl Stud. 2026 Mar;42(1):265-278. doi: 10.1007/s10899-025-10428-5. Epub 2025 Sep 29. |
| 15646248 | Background | Knutsson A. Methodological aspects of shift-work research. Chronobiol Int. 2004;21(6):1037-47. doi: 10.1081/cbi-200038525. |
| 35166259 | Background | Lee Y, Park H. Working Hours and Depressive and Anxiety Symptoms According to Shift Work and Gender. J Occup Environ Med. 2022 May 1;64(5):e316-e321. doi: 10.1097/JOM.0000000000002515. Epub 2022 Feb 15. |
| 34204504 | Background | Leso V, Fontana L, Caturano A, Vetrani I, Fedele M, Iavicoli I. Impact of Shift Work and Long Working Hours on Worker Cognitive Functions: Current Evidence and Future Research Needs. Int J Environ Res Public Health. 2021 Jun 17;18(12):6540. doi: 10.3390/ijerph18126540. |
| 32506287 | Background | Limmer A, Schutz A. Interactive effects of personal resources and job characteristics on mental health: a population-based panel study. Int Arch Occup Environ Health. 2021 Jan;94(1):43-53. doi: 10.1007/s00420-020-01555-0. Epub 2020 Jun 6. |
| 39592497 | Background | Luquiens A, Panjo H, Bonnaire C, Pelletier-Fleury N. Developing a utility value set for the Gambling Quality of Life Scale-Brief (GQoLS-Brief) using a discrete choice experiment. Qual Life Res. 2025 Feb;34(2):457-469. doi: 10.1007/s11136-024-03835-5. Epub 2024 Nov 26. |
| 26994447 | Background | Micoulaud-Franchi JA, Lagarde S, Barkate G, Dufournet B, Besancon C, Trebuchon-Da Fonseca A, Gavaret M, Bartolomei F, Bonini F, McGonigal A. Rapid detection of generalized anxiety disorder and major depression in epilepsy: Validation of the GAD-7 as a complementary tool to the NDDI-E in a French sample. Epilepsy Behav. 2016 Apr;57(Pt A):211-216. doi: 10.1016/j.yebeh.2016.02.015. Epub 2016 Mar 16. |
| 36884150 | Background | Moreira D, Azeredo A, Dias P. Risk Factors for Gambling Disorder: A Systematic Review. J Gambl Stud. 2023 Jun;39(2):483-511. doi: 10.1007/s10899-023-10195-1. Epub 2023 Mar 8. |
| 12514914 | Background | Neighbors C, Lostutter TW, Larimer ME, Takushi RY. Measuring gambling outcomes among college students. J Gambl Stud. 2002 Winter;18(4):339-60. doi: 10.1023/a:1021013132430. |
| 17394053 | Background | Neighbors C, Lostutter TW, Whiteside U, Fossos N, Walker DD, Larimer ME. Injunctive norms and problem gambling among college students. J Gambl Stud. 2007 Sep;23(3):259-73. doi: 10.1007/s10899-007-9059-3. Epub 2007 Mar 30. |
| 34792223 | Background | Nower L, Blaszczynski A, Anthony WL. Clarifying gambling subtypes: the revised pathways model of problem gambling. Addiction. 2022 Jul;117(7):2000-2008. doi: 10.1111/add.15745. Epub 2021 Nov 30. |
| 32240254 | Background | Rivera AS, Akanbi M, O'Dwyer LC, McHugh M. Shift work and long work hours and their association with chronic health conditions: A systematic review of systematic reviews with meta-analyses. PLoS One. 2020 Apr 2;15(4):e0231037. doi: 10.1371/journal.pone.0231037. eCollection 2020. |
| 39298268 | Background | Syvertsen A, Leino T, Smith ORF, Mentzoni RA, Sivertsen B, Griffiths MD, Pallesen S. Unemployment as a risk factor for gambling disorder: A longitudinal study based on national registry data. J Behav Addict. 2024 Sep 19;13(3):751-760. doi: 10.1556/2006.2024.00049. Print 2024 Oct 4. |
| 30778811 | Background | Tang CS, Lim MSM, Koh JM, Cheung FYL. Emotion Dysregulation Mediating Associations Among Work Stress, Burnout, and Problem Gambling: A Serial Multiple Mediation Model. J Gambl Stud. 2019 Sep;35(3):813-828. doi: 10.1007/s10899-019-09837-0. |
| 38805772 | Background | Yoshioka T, So R, Funada S, Tsutsumi S, Nakaya T, Okubo R, Minami T, Tabuchi T. Association of night-shift work with gambling and problem gambling among workers in Japan: A nationwide cross-sectional study. Addict Behav. 2024 Sep;156:108071. doi: 10.1016/j.addbeh.2024.108071. Epub 2024 May 23. |
| 31055776 | Background | Zhao Y, Richardson A, Poyser C, Butterworth P, Strazdins L, Leach LS. Shift work and mental health: a systematic review and meta-analysis. Int Arch Occup Environ Health. 2019 Aug;92(6):763-793. doi: 10.1007/s00420-019-01434-3. Epub 2019 May 4. |