Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-22T16:03:17.114Z Has data issue: false hasContentIssue false

Gambling activity in the old-age general population

Published online by Cambridge University Press:  23 March 2021

Amparo del Pino-Gutiérrez
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain Department of Public Health, Mental Health and Perinatal Nursing, School of Nursing, Universitat de Barcelona – UB, Barcelona, Spain
Roser Granero
Affiliation:
Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain Department de Psicobiologia i Metodologia, Autonomous University of Barcelona, Barcelona, Spain
Fernando Fernández-Aranda
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge – IDIBELL, L'Hospitalet de Llobregat, Spain Department of Clinical Sciences, School of Medicine, Universitat de Barcelona – UB, L'Hospitalet de Llobregat, Spain
Teresa Mena-Moreno
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
Gemma Mestre-Bach
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain Universidad Internacional de La Rioja, La Rioja, Spain
Mónica Gómez-Peña
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain
Laura Moragas
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain
Neus Aymamí
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain
Isabelle Giroux
Affiliation:
Centre d'Excellence pour la Prévention et le Traitement du Jeu, Faculté de Sciences Sociales, Université Laval, Quebec, Canada
Marie Grall-Bronnec
Affiliation:
INSERM, SPHERE U1246, University of Nantes, Nantes, France
Anne Sauvaget
Affiliation:
CHU Nantes, Movement – Interactions – Performance (MIP), University of Nantes, Nantes, France
Ester Codina
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain
Cristina Vintró-Alcaraz
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
María Lozano-Madrid
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
Zaida Agüera
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain Department of Public Health, Mental Health and Perinatal Nursing, School of Nursing, Universitat de Barcelona – UB, Barcelona, Spain Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
Jéssica Sánchez-González
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain
Gemma Casalé
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain
Isabel Baenas
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
Isabel Sánchez
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
Hibai López-González
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain
José M. Menchón
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge – IDIBELL, L'Hospitalet de Llobregat, Spain Department of Clinical Sciences, School of Medicine, Universitat de Barcelona – UB, L'Hospitalet de Llobregat, Spain Ciber Salut Mental (CIBERsam), Instituto Salud Carlos III, Madrid, Spain
Susana Jiménez-Murcia*
Affiliation:
Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain Ciber Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge – IDIBELL, L'Hospitalet de Llobregat, Spain Department of Clinical Sciences, School of Medicine, Universitat de Barcelona – UB, L'Hospitalet de Llobregat, Spain
*
*Corresponding author. Email: [email protected]

Abstract

Old age constitutes a vulnerable stage for developing gambling-related problems. The aims of the study were to identify patterns of gambling habits in elderly participants from the general population, and to assess socio-demographic and clinical variables related to the severity of the gambling behaviours. The sample included N = 361 participants aged in the 50–90 years range. A broad assessment included socio-demographic variables, gambling profile and psychopathological state. The percentage of participants who reported an absence of gambling activities was 35.5 per cent, while 46.0 per cent reported only non-strategic gambling, 2.2 per cent only strategic gambling and 16.3 per cent both non-strategic plus strategic gambling. Gambling form with highest prevalence was lotteries (60.4%), followed by pools (13.9%) and bingo (11.9%). The prevalence of gambling disorder was 1.4 per cent, and 8.0 per cent of participants were at a problematic gambling level. Onset of gambling activities was younger for men, and male participants also reached a higher mean for the bets per gambling-episode and the number of total gambling activities. Risk factors for gambling severity in the sample were not being born in Spain and a higher number of cumulative lifetime life events, and gambling severity was associated with a higher prevalence of tobacco and alcohol abuse and with worse psychopathological state. Results are particularly useful for the development of reliable screening tools and for the design of effective prevention programmes.

Type
Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ahmad, NA, Mat Ludin, AF, Shahar, S, Mohd Noah, SA and Mohd Tohit, N (2020) Willingness, perceived barriers and motivators in adopting mobile applications for health-related interventions among older adults: a scoping review protocol. BMJ Open 10, e033870.CrossRefGoogle ScholarPubMed
Alberghetti, A and Collins, PA (2015) A passion for gambling: a generation-specific conceptual analysis and review of gambling among older adults in Canada. Journal of Gambling Studies 31, 343358.CrossRefGoogle ScholarPubMed
American Psychiatric Association (2010) Diagnostic and Statistical Manual of Mental Disorders, 4th Edn Revised. Washington, DC: American Psychiatric Association.Google Scholar
American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders, 5th Edn. Washington, DC: American Psychiatric Association.Google Scholar
Ariyabuddhiphongs, V (2012) Older adults and gambling: a review. International Journal of Mental Health and Addiction 10, 297308.CrossRefGoogle Scholar
Armstrong, T, Rockloff, M and Browne, M (2020) Gamble with your head and not your heart: a conceptual model for how thinking-style promotes irrational gambling beliefs. Journal of Gambling Studies 36, 183206.CrossRefGoogle Scholar
Assanangkornchai, S, McNeil, EB, Tantirangsee, N, Kittirattanapaiboon, P and Thai National Mental Health Survey Team (2016) Gambling disorders, gambling type preferences, and psychiatric comorbidity among the Thai general population: results of the 2013 National Mental Health Survey. Journal of Behavioral Addictions 5, 410418.CrossRefGoogle ScholarPubMed
Bangma, DF, Fuermaier, ABM, Tucha, L, Tucha, O and Koerts, J (2017) The effects of normal aging on multiple aspects of financial decision-making. PLOS ONE 12, e0182620.CrossRefGoogle ScholarPubMed
Bendayan, R, Piccinin, AM, Hofer, SM, Cadar, D, Johansson, B and Muniz-Terrera, G (2017) Decline in memory, visuospatial ability, and crystalized cognitive abilities in older adults: normative aging or terminal decline? Journal of Aging Research 2017, 6210105.CrossRefGoogle ScholarPubMed
Bischof, A, Meyer, C, Bischof, G, Guertler, D, Kastirke, N, John, U and Rumpf, H-J (2014) Association of sociodemographic, psychopathological and gambling-related factors with treatment utilization for pathological gambling. European Addiction Research 20, 167173.CrossRefGoogle ScholarPubMed
Bjelde, K, Chromy, B and Pankow, D (2008) Casino gambling among older adults in North Dakota: a policy analysis. Journal of Gambling Studies 24, 423440.CrossRefGoogle ScholarPubMed
Black, DW, Coryell, W, McCormick, B, Shaw, M and Allen, J (2017) A prospective follow-up study of younger and older subjects with pathological gambling. Psychiatry Research 256, 162168.CrossRefGoogle ScholarPubMed
Black, DW, Shaw, M, Coryell, W, Crowe, R, McCormick, B and Allen, J (2015) Age at onset of DSM-IV pathological gambling in a non-treatment sample: early- versus later-onset. Comprehensive Psychiatry 60, 4046.CrossRefGoogle Scholar
Blackman, A, Browne, M, Rockloff, M, Hing, N and Russell, AMT (2019) Contrasting effects of gambling consumption and gambling problems on subjective wellbeing. Journal of Gambling Studies 35, 773792.CrossRefGoogle ScholarPubMed
Blaszczynski, A and Nower, L (2002) A pathways model of problem and pathological gambling. Addiction 97, 487499.CrossRefGoogle ScholarPubMed
Boggio, PS, Campanhã, C, Valasek, CA, Fecteau, S, Pascual-Leone, A and Fregni, F (2010) Modulation of decision-making in a gambling task in older adults with transcranial direct current stimulation. European Journal of Neuroscience 31, 593597.CrossRefGoogle Scholar
Botterill, E, Gill, PR, McLaren, S and Gomez, R (2016) Marital status and problem gambling among Australian older adults: the mediating role of loneliness. Journal of Gambling Studies 32, 10271038.CrossRefGoogle ScholarPubMed
Browne, M, Rawat, V, Greer, N, Langham, E, Rockloff, M and Hanley, C (2017) What is the harm? Applying a public health methodology to measure the impact of gambling problems and harm on quality of life. Journal of Gambling Issues 36, 2850.Google Scholar
Browne, M and Rockloff, MJ (2018) Prevalence of gambling-related harm provides evidence for the prevention paradox. Journal of Behavioral Addictions 7, 410422.CrossRefGoogle ScholarPubMed
Calado, F and Griffiths, MD (2016) Problem gambling worldwide: an update and systematic review of empirical research (2000–2015). Journal of Behavioral Addictions 5, 592613.CrossRefGoogle Scholar
Cohen, J (1988) Statistical Power Analysis for the Behavioural Sciences, 2nd Edn. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
Dabrowska, K, Moskalewicz, J and Wieczorek, L (2017) Barriers in access to the treatment for people with gambling disorders. Are they different from those experienced by people with alcohol and/or drug dependence? Journal of Gambling Studies 33, 487503.Google Scholar
Derogatis, LR (1994) SCL-90-R: Symptom Checklist-90-R. Administration, Scoring and Procedures Manual – II for the Revised Version. Towson, MD: Clinical Psychometric Research.Google Scholar
Desai, RA, Maciejewski, PK, Dausey, DJ, Caldarone, BJ and Potenza, MN (2004) Health correlates of recreational gambling in older adults. American Journal of Psychiatry 161, 16721679.CrossRefGoogle ScholarPubMed
Di Rosa, E, Mapelli, D, Arcara, G, Amodio, P, Tamburin, S and Schiff, S (2017) Aging and risky decision-making: new ERP evidence from the Iowa Gambling Task. Neuroscience Letters 640, 9398.CrossRefGoogle ScholarPubMed
Dirección-General-Ordenación-Juego (2017) Estudio y análisis de los factores de riesgo del trastorno de juego en población clínica española 2017. Madrid: Gobierno de España, Ministerio de Hacienda y Función Pública.Google Scholar
Dixon, MR, Nastally, BL and Waterman, A (2010) The effect of gambling activities on happiness levels of nursing home residents. Journal of Applied Behavior Analysis 43, 531535.CrossRefGoogle ScholarPubMed
Echeburúa, E, Báez, C, Fernández, J and Páez, D (1994) Cuestionario de juego patológico de South Oaks (SOGS): Validación española [South Oaks Gambling Screen (SOGS): Spanish validation]. Análisis de Modificación de Conducta 20, 769791.Google Scholar
European Commission – Eurostat (2019) Ageing Europe – Looking at the Lives of Older People in the EU. Luxembourg: European Union.Google Scholar
Fabricio, D de M, Chagas, MHN and Diniz, BS (2020) Frailty and cognitive decline. Translational Research: The Journal of Laboratory and Clinical Medicine.CrossRefGoogle ScholarPubMed
Farrell, L (2018) Understanding the relationship between subjective wellbeing and gambling behavior. Journal of Gambling Studies 34, 5571.CrossRefGoogle ScholarPubMed
Finner, H (1993) On a monotonicity problem in step-down multiple test procedures. Journal of the American Statistical Association 88, 920923.CrossRefGoogle Scholar
Godinho, A, Kushnir, V, Hodgins, DC, Hendershot, CS and Cunningham, JA (2018) Betting on life: associations between significant life events and gambling trajectories among gamblers with the intent to quit. Journal of Gambling Studies 34, 13911406.CrossRefGoogle ScholarPubMed
Gonzalez De Rivera, JL, Derogatis, LR, De las Cuevas, C, Gracia Marco, R, Rodríguez-Pulido, F, Henry-Benitez, M and Monterrey, A (1989) The Spanish Version of the SCL-90-R. Normative Data in the General Population. Towson, MD: Clinical Psychometric Research.Google Scholar
Granero, R, Jiménez-Murcia, S, del Pino-Gutiérrez, A, Mena-Moreno, T, Mestre-Bach, G, Gómez-Peña, M, Moragas, L, Aymamí, N, Giroux, I, Grall-Bronne, M, Sauvaget, A, Codina, E, Vintró-Alcaraz, C, Lozano-Madrid, M, Camozzi, M, Agüera, Z, Martín-Romera, V, Sánchez-González, J, Casalé, G, Sánchez, I, López-González, H, Munguía, L, Valenciano-Mendoza, E, Mora, B, Baenas-Soto, I, Menchón, JM and Fernández-Aranda, F (2020 a) Gambling phenotypes in older adults. Journal of Gambling Studies 36, 809828.CrossRefGoogle ScholarPubMed
Granero, R, Jiménez-Murcia, S, Fernández-Aranda, F, Del Pino-Gutiérrez, A, Mena-Moreno, T, Mestre-Bach, G, Gómez-Peña, M, Moragas, L, Aymamí, N, Giroux, K, Grall-Bronnec, M, Sauvaget, A, Codina, E, Vintró-Alcaraz, C, Lozano-Madrid, M, Camozzi, M, Agüera, Z, Sánchez-González, J, Casalé-Salayet, G, Sánchez, I, López-González, H, Valenciano-Mendoza, E, Mora, B, Baenas, I and Menchón, JM (2020 b) Presence of problematic and disordered gambling in older age and validation of the South Oaks Gambling Scale. PLOS ONE 15, e0233222.CrossRefGoogle ScholarPubMed
Granero, R, León-Vargas, D, Martín-Romera, V, Fernández-Aranda, F, Mena-Moreno, T, del Pino-Gutiérrez, A, Codina, E, Gómez-Peña, M, Moragas, L, Aymamí, N, Mestre-Bach, G, Agüera, Z, Vintró-Alcaraz, C, Lozano-Madrid, M, Casalé-Salayet, G, Menchón, JM and Jiménez-Murcia, S (2020 c) Clustering gambling disorder patients with lotteries as a preferred form of gambling. Journal of Gambling Studies 36, 9991011.CrossRefGoogle ScholarPubMed
Grant, JE, Odlaug, BL, Chamberlain, SR and Schreiber, LRN (2012) Neurocognitive dysfunction in strategic and non-strategic gamblers. Progress in Neuro-Psychopharmacology & Biological Psychiatry 38, 336340.CrossRefGoogle ScholarPubMed
Guillou Landreat, M, Cholet, J, Grall Bronnec, M, Lalande, S and Le Reste, JY (2019) Determinants of gambling disorders in elderly people – a systematic review. Frontiers in Psychiatry 10, 837.CrossRefGoogle ScholarPubMed
Halfmann, K, Hedgcock, W, Kable, J and Denburg, NL (2016) Individual differences in the neural signature of subjective value among older adults. Social Cognitive and Affective Neuroscience 11, 11111120.CrossRefGoogle ScholarPubMed
Hamilton, KR, Littlefield, AK, Anastasio, NC, Cunningham, KA, Fink, LHL, Wing, VC, Mathias, CW, Lane, SD, Schütz, CG, Swann, AC, Lejuez, CW, Clark, L, Moeller, FG and Potenza, MN (2015) Rapid-response impulsivity: definitions, measurement issues, and clinical implications. Personality Disorders 6, 168181.CrossRefGoogle ScholarPubMed
Hilbrecht, M and Mock, SE (2019) Low-risk, moderate-risk, and recreational gambling among older adults: self-complexity as a buffer for quality of life. Applied Research in Quality of Life 14, 12051227.CrossRefGoogle Scholar
Hollingshead, AB (2011) Four Factor Index of Social Status. Yale Journal of Sociology 8, 2151.Google Scholar
Ioannidis, K, Hook, R, Wickham, K, Grant, JE and Chamberlain, SR (2019) Impulsivity in Gambling Disorder and problem gambling: a meta-analysis. Neuropsychopharmacology 44, 13541361.CrossRefGoogle ScholarPubMed
Ioannidis, K, Treder, MS, Chamberlain, SR, Kiraly, F, Redden, SA, Stein, DJ, Lochner, C and Grant, JE (2018) Problematic internet use as an age-related multifaceted problem: evidence from a two-site survey. Addictive Behaviors 81, 157166.CrossRefGoogle ScholarPubMed
Jiménez-Murcia, S, Granero, R, Fernández-Aranda, F and Menchón, JM (2020) Comparison of gambling profiles based on strategic versus non-strategic preferences. Current Opinion in Behavioral Sciences 31, 1320.CrossRefGoogle Scholar
Jiménez-Murcia, S, Stinchfield, R, Álvarez-Moya, E, Jaurrieta, N, Bueno, B, Granero, R, Aymamí, MN, Gómez-Peña, M, Martínez-Giménez, R, Fernández-Aranda, F and Vallejo, J (2009) Reliability, validity, and classification accuracy of a Spanish translation of a measure of DSM-IV diagnostic criteria for pathological gambling. Journal of Gambling Studies 25, 93104.CrossRefGoogle ScholarPubMed
Kelley, K and Preacher, KJ (2012) On effect size. Psychological Methods 17, 137152.CrossRefGoogle ScholarPubMed
Lanzara, R, Scipioni, M and Conti, C (2018) A clinical-psychological perspective on somatization among immigrants: a systematic review. Frontiers in Psychology 9, 2792.CrossRefGoogle ScholarPubMed
Lesieur, HR and Blume, SB (1987) The South Oaks Gambling Screen (SOGS): a new instrument for the identification of pathological gamblers. American Journal of Psychiatry 144, 11841188.Google ScholarPubMed
Lesieur, HR and Blume, SB (1993) Revising the South Oaks Gambling Screen in different settings. Journal of Gambling Studies 9, 213223.CrossRefGoogle Scholar
Lorains, FK, Dowling, NA, Enticott, PG, Bradshaw, JL, Trueblood, JS and Stout, JC (2014) Strategic and non-strategic problem gamblers differ on decision-making under risk and ambiguity. Addiction 109, 11281137.CrossRefGoogle ScholarPubMed
Lorenz, RC, Gleich, T, Beck, A, Pöhland, L, Raufelder, D, Sommer, W, Rapp, MA, Kühn, S and Gallinat, J (2014) Reward anticipation in the adolescent and aging brain. Human Brain Mapping 35, 51535165.CrossRefGoogle ScholarPubMed
Luce, C, Kairouz, S, Nadeau, L and Monson, E (2016) Life events and problem gambling severity: a prospective study of adult gamblers. Psychology of Addictive Behaviors 30, 922930.CrossRefGoogle ScholarPubMed
Lutter, M, Tisch, D and Beckert, J (2018) Social explanations of lottery play: new evidence based on national survey data. Journal of Gambling Studies 34, 11851203.CrossRefGoogle ScholarPubMed
MacKillop, J, Weafer, J, Gray, JC, Oshri, A, Palmer, A and de Wit, H (2016) The latent structure of impulsivity: impulsive choice, impulsive action, and impulsive personality traits. Psychopharmacology 233, 33613370.CrossRefGoogle ScholarPubMed
Martin, AS, Palmer, BW, Rock, D, Gelston, CV and Jeste, DV (2015) Associations of self-perceived successful aging in young-old versus old-old adults. International Psychogeriatrics 27, 601609.CrossRefGoogle ScholarPubMed
McCarrey, AC, Henry, JD, von Hippel, W, Weidemann, G, Sachdev, PS, Wohl, MJA and Williams, M (2012) Age differences in neural activity during slot machine gambling: an fMRI study. PLOS ONE 7, e49787.CrossRefGoogle Scholar
McGilton, KS, Vellani, S, Yeung, L, Chishtie, J, Commisso, E, Ploeg, J, Andrew, MK, Ayala, AP, Gray, M, Morgan, D, Chow, AF, Parrott, E, Stephens, D, Hale, L, Keatings, M, Walker, J, Wodchis, WP, Dubé, V, McElhaney, J and Puts, M (2018) Identifying and understanding the health and social care needs of older adults with multiple chronic conditions and their caregivers: a scoping review. BMC Geriatrics 18, 231.CrossRefGoogle ScholarPubMed
Medeiros, GC, Leppink, E, Yaemi, A, Mariani, M, Tavares, H and Grant, J (2015) Gambling disorder in older adults: a cross-cultural perspective. Comprehensive Psychiatry 58, 116121.CrossRefGoogle ScholarPubMed
Medeiros, GC, Redden, SA, Chamberlain, SR and Grant, JE (2017) Gambling disorder: association between duration of illness, clinical, and neurocognitive variables. Journal of Behavioral Addictions 6, 194202.CrossRefGoogle ScholarPubMed
Moragas, L, Granero, R, Stinchfield, R, Fernández-Aranda, F, Fröberg, F, Aymamí, N, Gómez-Peña, M, Fagundo, AB, Islam, MA, del Pino-Gutiérrez, A, Agüera, Z, Savvidou, LG, Arcelus, J, Witcom, GL, Sauchelli, S, Menchón, JM and Jiménez-Murcia, S (2015) Comparative analysis of distinct phenotypes in gambling disorder based on gambling preferences. BMC Psychiatry 15, 86.CrossRefGoogle ScholarPubMed
Morales-Asencio, JM, Martin-Santos, FJ, Kaknani, S, Morilla-Herrera, JC, Cuevas Fernandez-Gallego, M, Garcia-Mayor, S, León-Campos, A and Morales-Gil, IM (2016) Living with chronicity and complexity: lessons for redesigning case management from patients’ life stories – a qualitative study. Journal of Evaluation in Clinical Practice 22, 122132.CrossRefGoogle ScholarPubMed
Naganathan, G, Kuluski, K, Gill, A, Jaakkimainen, L, Upshur, R and Wodchis, WP (2016) Perceived value of support for older adults coping with multi-morbidity: patient, informal care-giver and family physician perspectives. Ageing & Society 36, 18911914.CrossRefGoogle Scholar
Navarro, E and Calero, MD (2018) Cognitive plasticity in young-old adults and old-old adults and its relationship with successful aging. Geriatrics (Basel, Switzerland) 3, 76.Google ScholarPubMed
Nicholson, R, Mackenzie, C, Afifi, TO, Keough, M and Sareen, J (2019) An examination of comorbid psychiatric disorders in disordered gamblers versus other substance-related disorders. Journal of Gambling Studies 35, 829847.CrossRefGoogle ScholarPubMed
Odlaug, BL, Marsh, PJ, Kim, SW and Grant, JE (2011) Strategic vs nonstrategic gambling: characteristics of pathological gamblers based on gambling preference. Annals of Clinical Psychiatry 23, 105112.Google ScholarPubMed
Parke, A, Griffiths, M, Pattinson, J and Keatley, D (2018) Age-related physical and psychological vulnerability as pathways to problem gambling in older adults. Journal of Behavioral Addictions 7, 137145.CrossRefGoogle ScholarPubMed
Pattinson, J and Parke, A (2016) Gambling behaviour and motivation in British older adult populations: a grounded theoretical framework. Journal of Gambling Issues 34, 5576.Google Scholar
Pattinson, J and Parke, A (2017) The experience of high-frequency gambling behavior of older adult females in the United Kingdom: an interpretative phenomenological analysis. Journal of Women & Aging 29, 243253.CrossRefGoogle ScholarPubMed
Pilver, CE, Libby, DJ, Hoff, RA and Potenza, MN (2013) Problem gambling severity and the incidence of Axis I psychopathology among older adults in the general population. Journal of Psychiatric Research 47, 534541.CrossRefGoogle ScholarPubMed
Platzer, E, Singler, K, Dovjak, P, Wirnsberger, G, Perl, A, Lindner, S, Liew, A and Roller-Wirnsberger, RE (2020) Evidence of inter-professional and multi-professional interventions for geriatric patients: a systematic review. International Journal of Integrated Care 20, 6.CrossRefGoogle ScholarPubMed
Sauvaget, A, Jiménez-Murcia, S, Fernández-Aranda, F, Fagundo, AB, Moragas, L, Wolz, I, Veciana De Las Heras, M, Granero, R, del Pino-Gutiérrez, A, Baño, M, Real, E, Aymamí, MN, Grall-Bronnec, M and Menchón, JM (2015) Unexpected online gambling disorder in late-life: a case report. Frontiers in Psychology 6, 655.CrossRefGoogle ScholarPubMed
Schiebener, J and Brand, M (2017) Age-related variance in decisions under ambiguity is explained by changes in reasoning, executive functions, and decision-making under risk. Cognition & Emotion 31, 816824.CrossRefGoogle ScholarPubMed
Skoog, I (2011) Psychiatric disorders in the elderly. Canadian Journal of Psychiatry/Revue Canadienne de Psychiatrie 56, 387397.CrossRefGoogle ScholarPubMed
Smith, M, Hategan, A and Bourgeois, JA (2017) Geriatric gambling disorder: challenges in clinical assessment. International Psychogeriatrics 29, 21052106.CrossRefGoogle ScholarPubMed
StataCorp (2019) Stata Statistical Software: Release 16. College Station, TX: StataCorp.Google Scholar
Stinchfield, R (2003) Reliability, validity, and classification accuracy of a measure of DSM-IV diagnostic criteria for pathological gambling. American Journal of Psychiatry 160, 180182.CrossRefGoogle ScholarPubMed
Storr, CL, Lee, GP, Derevensky, JL, Ialongo, NS and Martins, SS (2012) Gambling and adverse life events among urban adolescents. Journal of Gambling Studies 28, 325336.CrossRefGoogle ScholarPubMed
Subramaniam, M, Abdin, E, Vaingankar, JA, Shahwan, S, Picco, L and Chong, SA (2016) Strategic versus nonstrategic gambling: results from a community survey. Journal of Addiction Medicine 10, 174181.CrossRefGoogle ScholarPubMed
Subramaniam, M, Chong, SA, Browning, C and Thomas, S (2017 a) Cognitive distortions among older adult gamblers in an Asian context. PLOS ONE 12, e0178036.CrossRefGoogle Scholar
Subramaniam, M, Satghare, P, Vaingankar, JA, Picco, L, Browning, CJ, Chong, SA and Thomas, SA (2017 b) Responsible gambling among older adults: a qualitative exploration. BMC Psychiatry 17, 124.CrossRefGoogle ScholarPubMed
Subramaniam, M, Wang, P, Soh, P, Vaingankar, JA, Chong, SA, Browning, CJ and Thomas, SA (2015) Prevalence and determinants of gambling disorder among older adults: a systematic review. Addictive Behaviors 41, 199209.CrossRefGoogle ScholarPubMed
Takamatsu, SK, Martens, MP and Arterberry, BJ (2016) Depressive symptoms and gambling behavior: mediating role of coping motivation and gambling refusal self-efficacy. Journal of Gambling Studies 32, 535546.CrossRefGoogle ScholarPubMed
Tira, C and Jackson, AC (2015) Exploring the gray areas: senior gamblers’ perceptions of what is and what isn't gambling. Journal of Gambling Issues 31, 2444.CrossRefGoogle Scholar
Tira, C, Jackson, AC and Tomnay, JE (2014) Pathways to late-life problematic gambling in seniors: a grounded theory approach. The Gerontologist 54, 10351048.CrossRefGoogle ScholarPubMed
Tse, S, Hong, S-I and Ng, K-L (2013) Estimating the prevalence of problem gambling among older adults in Singapore. Psychiatry Research 210, 607611.CrossRefGoogle Scholar
Tse, S, Hong, S-I, Wang, C-W and Cunningham-Williams, RM (2012) Gambling behavior and problems among older adults: a systematic review of empirical studies. Journals of Gerontology: Psychological Sciences and Social Sciences 67B, 639652.CrossRefGoogle Scholar
Ungvari, Z, Tarantini, S, Sorond, F, Merkely, B and Csiszar, A (2020) Mechanisms of vascular aging, a geroscience perspective: JACC Focus Seminar. Journal of the American College of Cardiology 75, 931941.CrossRefGoogle ScholarPubMed
United Nations (2019) World Population Prospects 2019. New York, NY: United Nations Department of Economic and Social Affairs.Google Scholar
van der Maas, M, Mann, RE, McCready, J, Matheson, FI, Turner, NE, Hamilton, HA, Schrans, T and Ialomiteanu, A (2017) Problem gambling in a sample of older adult casino gamblers. Journal of Geriatric Psychiatry and Neurology 30, 310.CrossRefGoogle Scholar
van Timmeren, T, Daams, JG, van Holst, RJ and Goudriaan, AE (2018) Compulsivity-related neurocognitive performance deficits in gambling disorder: a systematic review and meta-analysis. Neuroscience and Biobehavioral Reviews 84, 204217.CrossRefGoogle ScholarPubMed
von Hippel, W, Ng, L, Abbot, L, Caldwell, S, Gill, G and Powell, K (2009) Executive functioning and gambling: performance on the trail making test is associated with gambling problems in older adult gamblers. Neuropsychology, Development, and Cognition 16, 654670.CrossRefGoogle ScholarPubMed
Wardle, H, Reith, G, Langham, E and Rogers, RD (2019) Gambling and public health: we need policy action to prevent harm. BMJ 365, l1807.CrossRefGoogle ScholarPubMed
Welte, JW, Barnes, GM, Tidwell, M-CO and Hoffman, JH (2011) Gambling and problem gambling across the lifespan. Journal of Gambling Studies 27, 4961.CrossRefGoogle ScholarPubMed
World Health Organization (WHO) (2018) Ageing and Health. Geneva: WHO. Available at https://www.who.int/news-room/fact-sheets/detail/ageing-and-health.Google Scholar
Supplementary material: File

del Pino-Gutiérrez et al. supplementary material

Table S1

Download del Pino-Gutiérrez et al. supplementary material(File)
File 33.7 KB