ISSN: 3105-7888 mse.journal@ksph.kz

Құмар ойындарға тәуелділіктің қауіп факторлары және медициналық-әлеуметтік салдары

Structured Narrative Review Қоғамдық денсаулық сақтау

Құмар ойындарға тәуелділіктің қауіп факторлары және медициналық-әлеуметтік салдары

ӘОЖ: 616.89-008.446 DOI: 10.24412/1609-8692-2025-4-37-45 Беттер: 97-106 186

Аннотация

Кіріспе. Құмар ойындарға тәуелділік (ойындық бұзылыс, лудомания) психологиялық, отбасылық, әлеуметтік және қаржылық салдары бар мінез-құлықтық тәуелділік болып табылады. Оның қалыптасуына жеке осалдық, когнитивтік және эмоциялық факторлар, отбасылық тәжірибе, әлеуметтік орта, құмар ойындардың қолжетімділігі, жарнама және реттеуші жағдайлар өзара ықпал етеді.
Мақсаты. Құмар ойындарға тәуелділіктің негізгі қауіп факторлары мен медициналық-әлеуметтік салдары туралы қазіргі деректерді жинақтау және ерте анықтау, профилактика, емдеу мен қоғамдық денсаулық сақтау саясаты үшін практикалық бағыттарды айқындау.
Материалдар мен әдістер. Қолжазба библиографиясына енгізілген 2021–2025 жылдардағы 20 жарияланымға құрылымдалған нарративтік синтез жүргізілді. Дәлелдер базасына популяциялық зерттеулер, диагностикалық құралдардың психометриялық валидациясы, клиникалық және нейробиологиялық зерттеулер, мета-талдау, отбасылар мен осал топтарды зерттеу, сондай-ақ құмар ойындарды реттеудің салыстырмалы талдаулары кірді. Деректер жеке және психоәлеуметтік қауіп факторлары, психикалық коморбидтілік, скрининг, отбасылық зиян, нейромінез-құлықтық механизмдер, ортаның ықпалы, әлеуметтік қолдау және реттеуші шаралар бойынша жүйеленді. Бастапқы қолжазбада толық қайталанатын іздеу хаттамасы мен жүйелі қателік қаупін формалды бағалау құжатталмағандықтан, нәтижелерді сандық біріктіру жүргізілген жоқ.
Нәтижелер. Проблемалық ойын мінез-құлқының қаупі импульсивтілікпен, когнитивтік бұрмаланулармен, эмоциялық қолайсыздықпен, қолайсыз әлеуметтік жағдайлармен және құмар ойындарға жоғары қолжетімділікпен байланысты [1–5,9]. Ойындық бұзылыс басқа психикалық бұзылыстармен жиі қатар жүреді және әлеуметтік әрі кәсіби қызметтің нашарлауымен ұштасады [5]. Валидтелген скрининг құралдары проблеманы ертерек анықтауға мүмкіндік береді [6]. Зиян отбасы мүшелеріне, әсіресе құмар ойындарға тәуелді ата-аналардың балаларына таралады [7,8]. Жарнама, спорт ортасындағы ставкаларды қалыпты құбылыс ретінде қабылдау және жоғары тәуекелді ойын түрлерінің қолжетімділігі жастардың осалдығын арттырады [10,14,15], ал әлеуметтік қолдау мен тиесілік сезімі қалпына келуге ықпал етуі мүмкін [18]. Салыстырмалы зерттеулер электрондық ойын автоматтарының қолжетімділігін қысқарту және онлайн-құмар ойындарда жүйелі шектеулер енгізу сияқты популяциялық шараларды қолдайды [11,13,19].
Талқылау. Жинақталған деректер құмар ойындардың зиянын тек жеке патологиямен түсіндіруге болмайтын көпдеңгейлі модельді қолдайды. Клиникалық осалдық отбасылық, коммерциялық, әлеуметтік және реттеуші ортамен өзара әрекеттеседі. Зерттеулер дизайн мен соңғы нәтижелер бойынша әртекті, ал бірқатар саясаттық зерттеулер нақты елдік контекске тәуелді; сондықтан себеп-салдарлық және елдер арасындағы қорытындылар сақтықпен түсіндірілуі тиіс.
Қорытынды. Құмар ойындарға тәуелділіктің алдын алу мен оны басқару ерте скринингті, психикалық коморбидтілікті емдеуді, отбасыға бағытталған қолдауды, стигманы азайтуды, әлеуметтік ресурстарды нығайтуды және жоғары тәуекелді ойын ортасын пропорционалды реттеуді біріктіруі тиіс. Клиникалық және популяциялық шаралардың ең тиімді үйлесімін анықтау үшін ұзақ мерзімді және интервенциялық зерттеулер қажет.

Кілт сөздер:

Толық мәтін

Introduction

Gambling disorder is a behavioral addiction that can impair mental health, family relationships, social functioning, and financial stability. In clinical practice, problematic gambling may remain hidden because individuals underestimate the severity of their behavior, experience stigma, or seek care for associated anxiety, depression, financial stress, or family conflict rather than gambling itself [1]. This makes early recognition relevant not only for mental-health services but also for primary care and other points of first contact.

Current evidence supports a multifactorial model of vulnerability. Socio-demographic conditions, emotional distress, impulsivity, cognitive distortions, and patterns of social exposure interact with the availability and design of gambling products [2–4,9]. Co-occurring psychiatric disorders may further increase clinical severity and complicate treatment [5]. At the same time, gambling-related harm is not restricted to the person who gambles: family members, children, and socially vulnerable groups may experience substantial secondary consequences [7,8,17].

The expansion of online gambling, betting advertising, sponsorship in sports, and highly accessible electronic gambling products has shifted part of the prevention agenda from individual responsibility toward environmental and regulatory determinants [10–15,19,20]. This broader perspective is important because effective harm reduction may require simultaneous action at clinical, family, community, commercial, and policy levels.

The aim of this review was to synthesize recent evidence on the major risk factors for gambling disorder and its medical and social consequences, and to identify implications for early detection, prevention, treatment, and population-level harm reduction.

Scientific novelty and practical significance

The contribution of this review lies in integrating individual, clinical, family, social, commercial, and regulatory determinants of gambling-related harm within a single analytical framework. Rather than treating gambling disorder solely as an individual behavioral problem, the review links neurobehavioral vulnerability and psychiatric comorbidity with family exposure, social support, normalization of gambling, product availability, advertising, and policy. This multilevel synthesis is practically relevant for designing prevention and care pathways that combine clinical intervention with population-level harm reduction.

Materials and Methods

Review design and evidence base

The article was prepared as a structured narrative review. The synthesis was based on the 20 publications listed in the source manuscript bibliography, all published between 2021 and 2025. The evidence base included population-based studies, clinical and psychosocial research, psychometric validation, neurobiological studies, a neuropsychological meta-analysis, studies of children and other vulnerable populations, and comparative policy analyses [1-20].

Data organization and synthesis

Evidence was grouped thematically into: individual and psychosocial risk factors; psychiatric comorbidity; screening and early identification; family and intergenerational consequences; neurobehavioral mechanisms; gambling normalization and advertising; product availability and online limits; vulnerable populations; social support and recovery; and regulatory approaches. The synthesis was qualitative because the included publications differed substantially in design, populations, exposures, and outcome definitions.

Methodological scope

The source manuscript did not document a fully reproducible database search strategy, exact search dates, study-selection flow, duplicate screening by independent reviewers, or a formal risk-of-bias assessment. Accordingly, the present work is framed as a structured narrative review rather than a systematic review or meta-analysis. These methodological constraints were considered when interpreting the strength and generalizability of the findings.

Results

Individual and psychosocial determinants of gambling risk

Problematic gambling emerges through the interaction of multiple risk and protective factors. In general practice, patients may present indirectly, making awareness of gambling-related warning signs and brief screening particularly important [1]. The integrated risk-and-protective-factor perspective emphasizes that stress, emotional regulation, cognitive biases, social influences, and protective resources such as self-regulation and support may jointly shape gambling trajectories [2].

Population-level data demonstrate that gambling participation and expenditure vary by age, gender, income, and social position. Importantly, the meaning of expenditure is not uniform across groups: a relatively modest absolute loss may create disproportionately greater harm among economically vulnerable individuals [3]. Psychosocial stressors can further intensify risky behavior; evidence from the COVID-19 period illustrates the interaction between anxiety, social relationships, resilience, and gambling-related problems [4].

Psychiatric comorbidity and clinical complexity

Gambling disorder frequently co-occurs with depression, anxiety disorders, substance-related problems, and personality pathology. The concept of a dual disorder highlights a subgroup in whom gambling behavior and psychiatric symptoms reinforce one another, producing greater functional impairment and a more complex treatment course [5]. For such patients, fragmented treatment focused on gambling alone may be insufficient; integrated assessment of psychiatric comorbidity is clinically more appropriate.

Screening and early identification

Reliable identification of gambling-related problems requires validated tools. The Gambling Disorders Identification Test (GDIT) has demonstrated psychometric utility for detecting both problem gambling and gambling disorder [6]. In primary care and general medical settings, structured screening may help identify patients who would otherwise remain undetected and facilitate referral to specialized support [1,6].

Family and intergenerational consequences

Gambling-related harm extends beyond the individual. Studies from Germany and Australia show that children exposed to parental gambling disorder may experience emotional and behavioral difficulties, stress, impaired social adaptation, and other forms of family harm [7,8]. These findings support the need to identify affected families rather than treating the gambler as the only person requiring support.

Family-oriented prevention should therefore include assessment of household financial strain, conflict, caregiving burden, child well-being, and exposure to gambling behaviors. The available evidence also raises concern about intergenerational normalization of gambling, although the strength of causal pathways requires further longitudinal study [7,8].

Neurobehavioral mechanisms and executive control

Impulsivity is an important component of gambling disorder and has been linked to serotonergic and dopaminergic mechanisms involved in reward processing, inhibitory control, and risky decision-making [9]. Neurobiological findings do not imply a single causal pathway but support the view that gambling disorder involves measurable alterations in behavioral control systems.

A 2025 meta-analysis of executive function in gambling disorder further supports clinically relevant impairments in cognitive control and decision-making [16]. These findings strengthen the rationale for psychological interventions that target impulsivity, distorted beliefs, planning, and self-regulation, while recognizing that neurocognitive vulnerability operates within a broader social environment.

Gambling normalization, advertising, and commercial exposure

Sports environments may contribute to normalization of betting through advertising, sponsorship, and routine discussion of gambling. Evidence from Belgian sports clubs indicates that such exposure can make gambling appear embedded in ordinary sports participation, with particular relevance for younger people [10].

Experimental attention research shows that gambling advertisements can capture young people’s visual attention [14]. Responsible-gambling messages may contribute to risk communication, but the evidence suggests that warnings should not be treated as a stand-alone prevention strategy [15]. Their effect is more plausibly strengthened when combined with product-level restrictions, financial limits, self-exclusion or support tools, and reduced exposure to high-risk marketing.

Availability of gambling products and regulatory measures

Comparative evidence from Italy and Finland suggests that reducing the supply of electronic gambling machines can decrease population exposure and associated harms, although effectiveness depends on the scope and consistency of implementation [11]. This supports the principle that availability itself is a modifiable determinant of harm rather than a neutral background condition.

Online gambling introduces additional challenges because gambling is continuously accessible and can be intensified through rapid-play formats and frictionless payments. Comparative European policy analysis indicates that limit-setting is potentially useful, but outcomes depend on enforcement, consistency, and the architecture of the regulatory system [13]. Cross-country comparisons should therefore be interpreted in light of different legal, commercial, and cultural contexts.

Policy analyses from sub-Saharan Africa likewise demonstrate that effective regulation requires coherent legal frameworks and implementation capacity rather than isolated restrictions [19]. The Overton-window perspective has been used to describe how gambling may shift in public discourse from an individual lifestyle choice toward a social and epidemiological concern [20]. This framing is relevant to policy development but should be regarded as a conceptual lens rather than evidence of intervention effectiveness.

Stigma, vulnerable populations, and social support

Stigma can discourage disclosure and help-seeking. Analysis of social-media discourse has identified stigmatizing attitudes toward people with gambling disorder, highlighting the importance of communication that avoids moralizing and emphasizes treatability and support [12].

Gambling-related harm may be amplified by social disadvantage. Among homeless men in Osaka, gambling disorder was associated with low income, social isolation, and psychological distress [17]. Such findings indicate that prevention and treatment pathways should be adapted for populations facing unstable housing, poverty, and limited access to conventional health services.

Social support and a sense of belonging appear to be relevant recovery resources. Individuals who perceive stronger support from family, friends, or community may demonstrate better recovery-related outcomes and greater resilience [18]. This supports inclusion of social and relational factors in treatment planning rather than relying solely on individual symptom reduction.

Discussion

Integrated interpretation of the evidence

The reviewed evidence supports a multilevel understanding of gambling disorder. Individual susceptibility—impulsivity, cognitive distortions, emotional distress, and psychiatric comorbidity—interacts with family exposure, socioeconomic conditions, advertising, product availability, and regulatory context [2–5,9–15]. This interaction helps explain why interventions based only on personal responsibility may have limited reach.

Clinically, early detection and treatment of psychiatric comorbidity remain central. Screening tools such as the GDIT may be useful in settings where gambling problems are otherwise easily missed [1,6]. However, screening has value only when linked to accessible counseling, specialist referral, and follow-up. For patients with dual disorders, integrated mental-health treatment is more coherent than parallel, disconnected pathways [5].

At the family and population levels, the evidence supports extending prevention beyond the person who gambles. Children of affected parents, people experiencing homelessness, and young people exposed to gambling-intensive environments represent groups in whom harms may be disproportionate [7,8,10,14,17]. Social support may buffer some of these risks and should be treated as a component of recovery rather than an optional adjunct [18].

Policy evidence suggests that reducing high-risk product availability and implementing meaningful online limits can contribute to harm reduction [11,13,19]. Nevertheless, the heterogeneity of national regulatory systems makes it inappropriate to assume that one measure will have identical effects across settings. Regulatory interventions require local evaluation and monitoring.

Clinical and public-health implications

A practical response to gambling disorder should combine three levels of action: identification and treatment of the individual patient; support for family members and socially vulnerable groups; and reduction of environmental exposure to high-risk gambling. In healthcare, this means improving clinician awareness, using validated screening where appropriate, assessing depression, anxiety and other comorbid disorders, and establishing referral pathways. At the population level, it means aligning advertising controls, availability restrictions, online limits, responsible-gambling tools, and public education rather than relying on a single intervention.

Strengths and limitations

A strength of this review is the integration of clinical, neurobehavioral, family, social, and regulatory evidence within one framework. The included literature is recent (2021–2025) and covers both individual-level and population-level determinants, allowing gambling disorder to be considered as a medical and social problem rather than solely a matter of personal behavior.

The principal limitation is the narrative design. The source manuscript did not preserve a fully reproducible search strategy, study-selection flow, or formal risk-of-bias assessment, and the 20 included publications are heterogeneous in design and context. Several findings are based on cross-sectional or policy-comparison data, which limits causal inference. Evidence from specific countries or vulnerable groups may not generalize directly to other populations. Consequently, the review supports a coherent conceptual and practical framework but does not provide pooled effect estimates or a formal certainty-of-evidence rating.

Conclusion

Gambling disorder is shaped by the interaction of individual vulnerability and the environment in which gambling occurs. Impulsivity, cognitive distortions, emotional distress, psychiatric comorbidity, family exposure, social disadvantage, advertising, and product availability all contribute to the risk and consequences of problematic gambling.

Effective prevention and care therefore require more than a single clinical or regulatory intervention. Early identification, integrated treatment of mental-health comorbidity, family-oriented support, stigma reduction, strengthening of social resources, and proportionate regulation of high-risk gambling environments should be considered complementary components of a harm-reduction strategy.

Future research should prioritize longitudinal and intervention designs, standardized outcome measures, and evaluations that connect clinical outcomes with family and population-level harm. Such evidence is needed to determine which combinations of clinical, social, and regulatory measures produce sustainable benefit across different settings.

Әдебиеттер тізімі

  1. Wilson HHK, Gainsbury SM. Behavioural addictions. Problem gambling in general practice: How can we help? Aust J Gen Pract. 2023;52(5):289-294. doi:10.31128/AJGP-06-22-6472.
  2. Hearn NL, Ireland JL, Eslea M, Fisk JE. Exploring pathways to gambling: proposing the Integrated Risk and Protective Factors Model of gambling types. J Gambl Stud. 2021;37(1). doi:10.1007/s10899-020-09929-2.
  3. Grönroos T, Kouvonen A, Kontto J, Salonen AH. Socio-demographic factors, gambling behaviour, and the level of gambling expenditure: a population-based study. J Gambl Stud. 2022;38(4):1093-1109. doi:10.1007/s10899-021-10075-6.
  4. Sirola A, Nyrhinen J, Wilska TA. Psychosocial perspective on problem gambling: the role of social relationships, resilience, and COVID-19 worry. J Gambl Stud. 2023;39(3):1467-1485. doi:10.1007/s10899-022-10185-9.
  5. Szerman N, et al. Is there such a thing as gambling dual disorder? Preliminary evidence and clinical profiles. Eur Neuropsychopharmacol. 2023;66:78-91. doi:10.1016/j.euroneuro.2022.11.010.
  6. Molander O, Wennberg P, Berman AH. The Gambling Disorders Identification Test (GDIT): psychometric evaluation of a new comprehensive measure for gambling disorder and problem gambling. Assessment. 2023;30(1):225-237. doi:10.1177/10731911211046045.
  7. Stefan N, Schwarzkopf L, Buth S, Meyer G, Bickl AM. How many children have parents with gambling disorder - a Germany-based estimate. BMC Public Health. 2025;25(1). doi:10.1186/s12889-025-23520-7.
  8. Suomi A, Lucas N, Dowling N, Delfabbro P. Gambling harm experienced by children exposed to parental gambling: an online survey of Australians. J Gambl Stud. 2024;40(1):181-200. doi:10.1007/s10899-023-10211-4.
  9. Kaasinen V, et al. Serotonergic and dopaminergic control of impulsivity in gambling disorder. Addict Biol. 2023;28(2). doi:10.1111/adb.13264.
  10. Constandt B, Rosiers J, Moernaut J, Van der Hoeven S, Willem A. Part of the game? Exploring the prevalence and normalization of gambling in Belgian sports clubs. Int J Environ Res Public Health. 2022;19(11). doi:10.3390/ijerph19116527.
  11. Marionneau V, Mandolesi G, Rolando S, Nikkinen J. Addressing gambling harms by reducing the supply of electronic gambling machines: a comparative study of Italy and Finland. BMC Public Health. 2022;22(1). doi:10.1186/s12889-022-13398-0.
  12. Singer J. Stigmatisation of gambling disorder in social media: a tailored deep learning approach for YouTube comments. Harm Reduct J. 2025;22(1). doi:10.1186/s12954-025-01169-0.
  13. Marionneau V, Luoma E, Turowski T, Hayer T. Limit-setting in online gambling: a comparative policy review of European approaches. Harm Reduct J. 2025;22(1). doi:10.1186/s12954-024-01150-3.
  14. Onwuegbusi T, Roberts A, Sharman S, Hogue T. An eye tracking investigation of young people’s gaze behaviour to gambling and non-gambling moving adverts. Eur Addict Res. 2023;29(2):109-118. doi:10.1159/000529114.
  15. Gaudett GE, Pellizzari P, Wood RTA, Wohl MJA. Evaluating the effectiveness of responsible gambling messages: a rapid evidence assessment. J Gambl Stud. 2025;41(3):891-914. doi:10.1007/s10899-025-10395-x.
  16. Peixoto M, Dores A, Monteiro M, Marques A, Barbosa F. Executive function in gambling disorder: a meta-analysis on neuropsychological evidence. J Gambl Stud. 2025;41(2):449-488. doi:10.1007/s10899-025-10383-1.
  17. Hwang C, et al. Prevalence of gambling disorder and its correlates among homeless men in Osaka city, Japan. J Gambl Stud. 2023;39(3):1059-1076. doi:10.1007/s10899-022-10121-x.
  18. Penfold KL, Ogden J. The role of social support and belonging in predicting recovery from problem gambling. J Gambl Stud. 2024;40(2):775-792. doi:10.1007/s10899-023-10225-y.
  19. Sichali JM, et al. Regulation of gambling in Sub-Saharan Africa: findings from a comparative policy analysis. Public Health. 2023;214:140-145. doi:10.1016/j.puhe.2022.07.018.
  20. Molina-Fernández AJ, Robert-Segarra A, Martín-Herrero JA, Sánchez-Iglesias I, Saiz-Galdós J, Fernández-Mora K. Regulating gambling use through the Overton window: from an addictive behavior to a social and epidemiological problem. Int J Environ Res Public Health. 2023;20(8). doi:10.3390/ijerph20085481.

Мәлімдемелер

Этикалық мақұлдау
Обзор основан исключительно на ранее опубликованных данных и не предусматривал привлечения участников, использования биологического материала или обработки персональных медицинских данных. В связи с этим одобрение этического комитета и получение информированного согласия не требовались.
Авторлардың үлесі
Сапинова Е.Қ. - концептуализация (Conceptualization); методология (Methodology); проведение литературного поиска (Investigation); курирование данных (Data Curation); формальный анализ (Formal Analysis); написание первоначального варианта рукописи (Writing - Original Draft). Жарменов С.М. - концептуализация (Conceptualization); методология (Methodology); научное руководство (Supervision); критический пересмотр и редактирование рукописи (Writing - Review & Editing). Есимов Н.Б. - методология (Methodology); формальный анализ (Formal Analysis); интерпретация результатов; критический пересмотр и редактирование рукописи (Writing -Review & Editing). Измаилова Н.Т. - научное руководство (Supervision); валидация (Validation); критический пересмотр и редактирование рукописи (Writing - Review & Editing). Все авторы прочитали и одобрили окончательную версию рукописи и принимают ответственность за целостность опубликованной работы.
Мүдделер қақтығысы
Авторы заявляют об отсутствии конфликта интересов, требующего раскрытия в связи с данной статьей.
Қаржыландыру
Исследование не получало внешнего финансирования.
Деректердің қолжетімділігі
Все данные, использованные в обзоре, содержатся в цитируемых публикациях; новый первичный набор данных не создавался.

Дәйексөз келтіру

Sapinova E.K., Zharmenov S.M., Yessimov N.B., Izmailova N.T.. Risk factors and medical and social consequences of gambling disorder. Scientific and Practical Journal «Medicine, Science and Education». 2025;(4):97-106. DOI: 10.24412/1609-8692-2025-4-37-45.

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