Psychosocial Perspective on Problem Gambling : The role of Social Relationships, Resilience, and COVID-19 Worry
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This is a self-archived version of an original article. This version may differ from the original in pagination and typographic details. Author(s): Title: Year: Version: Copyright: Rights: Rights url: Please cite the original version: CC BY 4.0 https://creativecommons.org/licenses/by/4.0/ Psychosocial Perspective on Problem Gambling : The role of Social Relationships, Resilience, and COVID-19 Worry © The Author(s) 2023 Published version Sirola, Anu; Nyrhinen, Jussi; Wilska, Terhi-Anna Sirola, A., Nyrhinen, J., & Wilska, T.-A. (2023). Psychosocial Perspective on Problem Gambling : The role of Social Relationships, Resilience, and COVID-19 Worry. Journal of gambling studies, Early online. https://doi.org/10.1007/s10899-022-10185-9 2023
ORIGINAL PAPER Accepted: 23 December 2022 © The Author(s) 2023 Anu Sirola anu.r[email protected] 1 Department of Social Sciences and Philosophy, University of Jyväskylä, Jyväskylä, Finland Psychosocial Perspective on Problem Gambling: The role of Social Relationships, Resilience, and COVID-19 Worry AnuSirola1· JussiNyrhinen1· Terhi-AnnaWilska1 Journal of Gambling Studies https://doi.org/10.1007/s10899-022-10185-9 Abstract The COVID-19 pandemic has amplified several psychosocial risks and problem behaviors among vulnerable individuals. Given that gambling has high addictive potential, it is important to consider the underlying mechanisms of problem gambling. This study examined psychosocial factors associated with pandemic-time problem gambling. Cross-sectional data were gathered via an online survey of 18–75-year-old Finnish, Swedish, and British respondents (n = 2,022) who reported having gambled at least occasionally during the pandemic. Measures included problem gambling, loneliness, COVID-19 worry, social support, and psychological resilience. Control variables included gender, age, and education. Structural equation modeling was used as an analytical technique. Loneliness was found to be associated with problem gambling. While COVID-19 worry was not directly associated with problem gambling, it predicted higher loneliness, which in turn was associated with problem gambling. Evidence was not found regarding the protective role of resilience or social support in problem gambling. However, social support was found to be associated with higher problem gambling severity. Male gender and younger age were associated with problem gambling. The results bring insight into underlying vulnerabilities regarding problem gambling during the pandemic. More focus should be placed on the quality and sources of social support, as well as on how psychosocial risk and protective factors might work differently among different populations of gamblers. Keywords COVID-19 · Gambling · Loneliness · Problem gambling · Resilience · Social support 1 3
Journal of Gambling Studies Introduction Gambling is an activity characterized by wagering or betting mechanisms in which money or something of monetary value is at stake. Typical examples of gambling include lotteries, scratch cards, sports betting, and casino games. For most individuals, gambling is a harmless activity, but for others, gambling takes excessive forms. When gambling develops into excess, it brings various forms of emotional, social, and financial harm to individuals and their loved ones (Langham et al., 2015). In the 5th edition of The Diagnostic and Statistical Manual of Mental Disorders (DSM-5), excessive and pathological forms of gambling are recognized as “gambling disorder,” with classifications of mild, moderate, and severe (Sleczka et al., 2015). Gambling disorder is an example of behavioral addiction (i.e., addiction to a certain behavior, such as gambling) as opposed to substance-related addictions (Mann et al., 2016). However, both types of addiction share many central commonalities, such as salience, mood modification, and tolerance (Griffiths, 2005; Mann et al., 2016). Notably, problem gambling often co-occurs with substance-related addictions and mental disorders (Lorains et al., 2011). Gambling is increasingly taking place online. During the first year of the COVID-19 pandemic, online gambling was promoted due to several restrictions on land-based gambling opportunities and the cancelation of sports events (Emond et al., 2022; Håkansson, 2020a). There were concerns in the early onset of the pandemic that online gambling and its excessive forms would increase in response to restrictions on other gambling opportunities (Brodeur et al., 2021). Contrary to expectations, problem gambling rates have not increased at the population level (Koós et al., 2022), and some studies have shown a decreasing trend in gambling over the course of the pandemic (Auer & Griffiths, 2022). However, there is growing evidence that gambling problems have been amplified among those who were actively involved in gambling prior to the pandemic (Brodeur et al., 2021; Emond et al., 2022; Håkansson, 2020b; Hodgins & Stevens, 2021). The pandemic’s impact on gambling has been recognized as an important health hazard, as gambling has high addictive potential, and a pandemic might amplify the problems and addictive behaviors among already vulnerable individuals (Håkansson et al., 2020). Addictive behaviors often have underlying escapist motives, where such behavior is a response to stressful, burdening, or otherwise unideal life situations (Jouhki & Oksanen, 2022). Given that the pandemic has caused significant stress, uncertainty, and anxiety, excessive behaviors, such as high technology use, gambling, or substance use, have acted—for some individuals—as maladaptive ways of managing pandemic-related psychological distress and the restrictions of everyday life (Avena et al., 2021; Király et al., 2020). Moreover, as the pandemic has caused or worsened financial distress for many individuals, gambling might also have been perceived as a way to earn money easily (Emond et al., 2022; Price, 2020). Problem behaviors, such as excessive gambling and high alcohol use, also co-occurred during the pandemic (Emond et al., 2022; Håkansson, 2020b; Price, 2020). However, some individuals might be more susceptible to developing harmful habits and addictive behaviors during crisis situations, while others have healthier resources for dealing with unexpected and stressful situations. While previous research has recognized many potential risk factors for problem gambling, such as male gender, young age, impulsivity, parental gambling problems, and comorbid mental disorders (e.g., Dowling et al., 2017; Sharman et al., 2019), less focus 1 3
Journal of Gambling Studies has been placed on psychosocial factors and potential protective factors, particularly during the pandemic. This study examines psychosocial factors associated with problem gambling among adult gamblers aged 18–75, utilizing data from Finland, Sweden, and the United Kingdom collected after the first year of the COVID-19 pandemic. In these culturally relatively similar European countries, gambling is a popular activity, and gambling problems are relatively common (Calado & Griffiths, 2016). Additionally, problem gambling and related problems have been reported during the COVID-19 pandemic in these countries (Håkansson, 2020a, b; Savolainen et al., 2022a; Sharman et al., 2021). Regarding pandemic safety measures, these countries adopted different strategies over the course of the pandemic. The UK adopted stricter and legally enforced measures, such as lockdowns, whereas in Sweden, safety measures were more lenient and mostly recommendation based. Finland fell in between, utilizing both legally enforced and recommendation-based measures. However, despite the differences in pandemic strategies, our preliminary analyses did not reveal significant country differences; thus, our analytical focus was not on cross-country comparisons. Rather, our aim was to create a theoretical model of psychosocial factors associated with problem gambling by utilizing multinational data gathered during the COVID-19 pandemic. Our study makes several contributions. First, we answer a call for research to better understand pandemic-time gambling behavior and the underlying factors related to problem gambling (Brodeur et al., 2021; Hodgins & Stevens, 2021). Second, this study contributes to the literature regarding psychosocial factors in problem gambling. Drawing from our theoretical perspective, we approach loneliness and COVID-19 worry as potential risk factors and resilience and social support as potential protective factors for pandemic-time problem gambling. In doing so, we also address the need to explore potential protective factors in problem gambling, which has received relatively less attention and mixed results in previous research, particularly among adult gamblers (Bush et al., 2021; Scholes-Balog et al., 2015). Third, the results help us understand why some gamblers are more susceptible to developing gambling problems during crisis situations and which factors might be beneficial in protecting gambling behavior from developing into excess. Given that gambling has high addictive potential and that the pandemic has amplified vulnerabilities, it is important to understand how unforeseen pandemic situations and future crises might manifest in problem behaviors. Theoretical Background and Hypotheses The role of Social Support and Loneliness in COVID-19 Worry Meaningful social connections and a sense of belonging are important assets for general well-being, but the protective role of social support is often emphasized during stressful or adverse situations (Taylor, 2011). Social support refers to the perception of being cared for by meaningful others, and this support can take specific forms, such as emotional or informational support (Taylor, 2011). Sources of social support may vary from offline (e.g., family, relatives, peers, colleagues) to online peer support communities and other networks (e.g., Ali et al., 2015; Savolainen et al., 2019; Taylor, 2011). 1 3
Journal of Gambling Studies Loneliness is an aversive subjective experience of social disconnection and perceived deficiency in one’s relationships (Heinrich & Gullone, 2006; Perlman & Peplau, 1981; Weiss, 1973), and it concerns individuals in all age groups (Qualter et al., 2015). During the COVID-19 pandemic, social distancing and stay-at-home orders were common safety measures taken to curb the spread of the virus. Thus, social isolation and loneliness were common experiences during the pandemic (Liu et al., 2020). Loneliness has been associated with poorer mental health, such as anxiety and depression (MacDonald et al., 2022), while perceived social support has seemed to protect against mental distress during the pandemic (Liu et al., 2020). Even though loneliness and social support are closely related, they are distinct concepts. As Luchetti et al., (2020) noted, even when physically isolated, perceived social support and a sense of being together during a crisis might also buffer against loneliness and related negative consequences. For example, digital technologies have allowed people to keep in touch with loved ones and to maintain other social connections during pandemic-imposed isolation and quarantines, which might have buffered against excessive loneliness. Therefore, we tested the following hypothesis: H1: Social support is negatively associated with loneliness. The COVID-19 pandemic and related safety measures, such as social distancing and quarantines, have widely affected mental health and have caused negative emotions for many individuals (Serafini et al., 2020). Given that the coronavirus is highly contagious and has caused a high number of deaths around the world, the pandemic has also caused significant worry over one’s own health and the health of loved ones (Son et al., 2020). Indeed, excessive worry and fear of getting the infection or infecting loved ones have been among the most typical psychological reactions to the pandemic (Serafini et al., 2020). Loneliness is often accompanied by poor quality of life and negative emotions (Heinrich & Gullone, 2006; MacDonald et al., 2022). Pandemic research also suggests that negative emotions concerning the pandemic, such as rumination, worry, or anxiety, are particularly prevalent among lonely individuals (Arslan et al., 2022; Hoffart et al., 2020; Okruszek et al., 2020). Thus, we tested the following hypothesis: H2: COVID-19 worry is positively associated with loneliness. The role of Social Support and Loneliness in Resilience Some individuals have more capacity and resources to deal with adverse situations in life. Psychological resilience refers to the ability to not only cope with stress and negative life events but also recover after crises (Bonanno, 2004; Connor & Davidson, 2003; Fletcher & Sarkar, 2013). Resilience has been recognized as an important asset for protection from the pandemic’s adverse effects on mental well-being (Zhang et al., 2022). Humans are inherently social; therefore, meaningful social relationships and a sense of belonging are vital to one’s physical and mental well-being (Baumeister & Leary, 1995; Deci & Ryan, 2000; Heinrich & Gullone, 2006). Insufficient social relationships are a risk factor for many problems and even premature mortality (Holt-Lunstad et al., 2010). The 1 3
Journal of Gambling Studies literature on resilience has recognized that social support plays an important role in cultivating resilience and protection from the negative health effects of stressful events (Cohen & Wills, 1985; Mancini & Bonanno, 2009; Zhang et al., 2022). Therefore, we propose the following hypotheses: H3: Social support is positively associated with resilience. H4: Loneliness is negatively associated with resilience. The role of Social Support and Loneliness in Problem Gambling Social support from meaningful others is generally recognized as an asset that protects us from many risks and harms (Cohen & Wills, 1985; Kaakinen et al., 2018; Minkkinen et al., 2016). However, studies have yielded mixed results regarding the role of social support in gambling and problem gambling (Nordmyr & Forsman, 2020). A study by Savolainen et al., (2019) emphasized the role of offline support, showing that while offline support seems to protect from problem gambling, online support is a risk for problem gambling. By contrast, some studies have yielded mixed results regarding the role of offline peer support (Hardoon et al., 2004; Räsänen et al., 2016). It is also possible that high levels of social support indicate that a person is in distress and thus seeking more support. During the COVID-19 pandemic, social support and a sense of belonging might have been particularly important assets for well-being due to stay-at-home mandates and quarantines, thus protecting people from harmful and excessive behaviors. Given that social support is often recognized as a buffer against problem behaviors, the following hypothesis is worth testing: H5: Social support is negatively associated with problem gambling. Loneliness is a major stressor for well-being; it strains mental and physical health and increases the risk of premature mortality (Holt-Lunstad et al., 2010). Gambling, particularly online, typically takes place in isolation, as the gambler is physically alone, and the sole purpose is to win as an individual, as opposed to many digital games that involve a social aspect (Sirola et al., 2021). Lonely individuals are also prone to excessive online behaviors as a coping strategy to escape everyday problems and loneliness (Kuss et al., 2014). According to several studies, loneliness is a common experience among excessive gamblers (Khazaal et al., 2017; Sirola et al., 2019; Vuorinen et al., 2021). Particularly during the pandemic, excessive Internet use and consequent addictive behaviors, such as problematic gambling, might have acted as maladaptive ways to cope with loneliness. Therefore, we tested the following hypothesis: H6: Loneliness is positively associated with problem gambling. 1 3
Journal of Gambling Studies The role of Resilience and COVID-19 Worry in Problem Gambling Individuals with psychological resilience are able to cope with and adapt to stressful situations using functional coping strategies (Bonanno, 2004; Connor & Davidson, 2003; Fletcher & Sarkar, 2013). Excessive and addictive behaviors are often used as maladaptive coping strategies to deal with negative emotions, such as anxiety or stress (Griffiths, 2005). A meta-analysis by Hu et al. (2015) found that higher resilience was consistently associated with positive mental health. A study by Brailovskaia & Margraf (2022) suggested that positive mental health can increase one’s sense of control, which can further protect one from developing addictive behaviors. The role of psychological resilience in problem gambling has received relatively little attention in previous research, and the available studies have yielded mixed results. There is evidence that resilience could protect people from problem gambling, particularly among youth (Lussier et al., 2007), but studies on adult problem gambling have not found evidence regarding the protective role of resilience (Mishra et al., 2019; Oei & Goh, 2015; ScholesBalog et al., 2015). During the pandemic, experiencing mental health problems, such as depression or anxiety, was associated with gambling problems (Savolainen et al., 2022a; Sharman et al., 2021), and it is plausible to expect that those with higher resilience would have been less prone to engage in addictive behaviors during the pandemic due to more positive mental health. Therefore, we tested the following hypothesis: H7: Resilience is negatively associated with problem gambling. Even though physical gambling venues were widely closed due to pandemic safety restrictions, online gambling opportunities remained constantly available and easily accessible. High technology use has been a way to alleviate the stress and boredom related to the pandemic and its safety restrictions, such as social isolation (Király et al., 2020). For some individuals, problem gambling and other addictive behaviors are a maladaptive way to escape stressful life situations (Jouhki & Oksanen, 2022) and to cope with worry, anxiety, or stress related to the pandemic (Avena et al., 2021). Problem gambling is often accompanied by negative emotions and psychological distress, such as anxiety or depression (Barrault & Varescon, 2013; Oksanen et al., 2018). Anxiety and worry related to the pandemic can also increase mental health problems, which can manifest in problematic gambling (Savolainen et al., 2022a). Thus, we hypothesized the following: H8: COVID-19 worry is positively associated with problem gambling. Control Variables Age, gender, and education were added as control variables to the model. As with other behavioral addictions, problem gambling typically starts to develop during young adulthood, making adolescents and young adults the most vulnerable age groups (Derevensky et al., 2019; Hing et al., 2016; Salonen et al., 2020). Even though gambling and problem gambling concern predominantly young males (Dowling et al., 2017; Hing et al., 2016; Merkouris et al., 2016), recent research has shown an increasing trend in women develop1 3
Journal of Gambling Studies ing problem gambling habits (Håkansson, 2020a). In some studies, low education has been recognized as a risk factor for problem gambling (Hing et al., 2016; Wu et al., 2014). Even though individuals in all age groups experience loneliness, it is particularly prevalent among adolescents and young adults (Qualter et al., 2015). During the COVID-19 pandemic, young adults and women reported higher levels of loneliness (Lee et al., 2020; Luchetti et al., 2020). Studies have also shown that older individuals are, in general, more resilient than younger ones (Gooding et al., 2012). Data and Methods Data Collection A total of 2,022 18–75-year-old participants (female 45.1%; mean age = 43.00; SD = 15.24) were surveyed for this study, comprising participants from Finland (n = 709), Sweden (n = 714), and the UK (n = 599). The criterion for participating was that a respondent had gambled online or offline during the past 12 months of the pandemic, at least occasionally. Cross-national study data were gathered simultaneously from these countries in April 2021 during the COVID-19 pandemic using an anonymous online survey. The survey design and measures were similar in Finnish, Swedish, and English. The web panel sample for the survey was gathered by a data provider company that recruited respondents from an online panel using a random sample from each country. Panel members were contacted in random order. The web panelists were volunteers who chose to respond to surveys according to their likes and interests. The panelists were also awarded prizes and compensation for their time and effort. Data collection was carried out according to the ethical standards stated by the Declaration of Helsinki. The respondents were informed about the aims of the survey, and their responses were fully voluntary. The Fig. 1 Theoretical Framework and Hypotheses 1 3
Journal of Gambling Studies respondents were also able to withdraw from the study at any point. The data did not include underaged participants, and the respondents’ identities were kept confidential. Measures Problem gambling was measured with the Problem Gambling Severity Index (PGSI), which is a standardized measure developed for survey research to assess problematic gambling in non-clinical context (Ferris & Wynne, 2001; Holtgraves, 2009). The PGSI is one of the most frequently used instruments to assess problem gambling in population studies, and it has shown good psychometric properties across different countries (Abbott et al., 2018; Raisamo et al., 2015; Savolainen et al., 2022a). It has also been widely utilized in survey research during the pandemic to assess pandemic-time gambling problems (Sachdeva et al., 2022). The PGSI comprises items such as “Have you needed to gamble with larger amounts of money to get the same feeling of excitement?”. The answer options were provided on a scale from 0 to 3 (0 = never, 1 = sometimes, 2 = most of the time, or 3 = almost always). A 12-month timeframe was given to reflect pandemic-time problem gambling behaviors. Loneliness during the pandemic was measured with a three-item loneliness scale, which is a short yet comparable version of the full UCLA loneliness scale, developed for survey research (Hughes et al., 2004). The scale has been widely used in studies assessing loneliness, and it has shown good psychometric properties across different countries (Johansson et al., 2021; Sirola et al., 2019; Vuorinen et al., 2021). It has also been widely utilized in survey research during the COVID-19 pandemic (Johansson et al., 2021; Liu et al., 2020; MacDonald et al., 2022). A three-part question was asked: “Thinking about the past year, how often have you felt 1) that you lack companionship, 2) left out, or 3) isolated from others?” The answer options were provided on a scale from 1 to 3 (1 = hardly ever, 2 = some of the time, or 3 = often). Higher scores indicate higher levels of loneliness. The original measure did not include a timeframe, but it was included here to measure pandemic-related loneliness (i.e., the past 12 months). Resilience was measured using a shortened version of the Connor–Davidson resilience scale (CD-RISC) (Campbell-Sills & Stein, 2007; Connor & Davidson, 2003), which assesses psychological resources to cope with adverse situations, such as crises. The scale has shown good psychometric properties in studies assessing psychological resilience across different countries (Tourunen et al., 2021; Velickovic et al., 2020). The scale includes statements such as “I can deal with whatever comes my way,” with answer options provided on a scale from 0 to 4 (0 = not true at all; 4 = true nearly all of the time). Higher scores indicate higher levels of resilience. Social support was measured using the Brief Form of the Perceived Social Support Questionnaire (F-SozU K-6). It is a valid and reliable measure for large-scale cross-cultural studies assessing perceived general social support, and it has shown good psychometric properties across diverse cultural contexts (Kliem et al., 2015; Lin et al., 2019). The scale includes items such as “If I am very depressed, I know who I can turn to,” with answer options provided on a scale from 1 to 5 (1 = not true at all; 5 = very true). Higher scores indicate higher levels of perceived social support. COVID-19 worry was measured using the question “How worried are you about the impacts of coronavirus?” in terms of (1) the health of your loved ones, (2) your own mental well-being, and (3) the mental well-being of your loved ones. Similar questions have been 1 3
Journal of Gambling Studies Problem gambling poses significant risks for strain on emotional, social, and financial wellbeing for a long period of time, making it important to recognize potential vulnerabilities and to create timely and effective interventions. The findings of this study emphasized psychosocial risks, namely, a lack of meaningful social connections in problem gambling during the pandemic. Thus, loneliness should be recognized as a major vulnerability in clinical settings, as it is destructive to well-being and might manifest in maladaptive behaviors such as problem gambling. However, given that our findings indicate that social support does not necessarily protect people from gambling problems and can even increase the risk, it would be crucial to examine in greater detail how different sources and quality of social support might work differently among different populations of gamblers. Funding This work was supported by the Academy of Finland (decision #335635) and the Strategic Research Council established within the Academy of Finland (decision #327237). Open Access funding provided by University of Jyväskylä (JYU). Data Availability Data will be made available upon reasonable request. Statements and Declarations Competing Interests None. Ethical Approval The study procedures were carried out in accordance with the Declaration of Helsinki. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. References Abbott, M., Romild, U., & Volberg, R. (2018). The prevalence, incidence, and gender and age-specific incidence of problem gambling: results of the swedish longitudinal gambling study (Swelogs). Addiction, 113(4), 699–707. Afthanorhan, A., Awang, Z., Abd Majid, N., Foziah, H., Ismail, I., Halbusi, A., H., & Tehseen, S. (2021, February). Gain more insight from common latent factor in structural equation modeling. In Journal of Physics: Conference Series (Vol. 1793, No. 1, p. 012030). IOP Publishing Ali, K., Farrer, L., Gulliver, A., & Griffiths, K. M. (2015). Online peer-to-peer support for young people with mental health problems: a systematic review. JMIR Mental Health, 2(2), e4418. Arslan, G., Yıldırım, M., & Aytaç, M. (2022). Subjective vitality and loneliness explain how coronavirus anxiety increases rumination among college students. Death Studies, 46(5), 1042–1051. Auer, M., & Griffiths, M. D. (2022). Gambling before and during the COVID-19 pandemic among online casino gamblers: an empirical study using behavioral tracking data. International Journal of Mental Health and Addiction, 20(3), 1722–1732. Avena, N. M., Simkus, J., Lewandowski, A., Gold, M. S., & Potenza, M. N. (2021). Substance use disorders and behavioral addictions during the COVID-19 pandemic and COVID-19-related restrictions. Frontiers in Psychiatry, 12, 433. Bagozzi, R. P. (1991). Further thoughts on the validity of measures of elation, gladness, and joy. Journal of Personality and Social Psychology, 61(1), 98–104. 1 3
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