Myths about "The myths about work addiction".

The present paper encompasses a response to the debate paper by Griffiths et al. about work addiction myths. Generally, we found weak empirical basis for the statement that there exist major myths and controversies regarding work addiction. Although we agree with Griffiths et al. on several issues, we argue that: (a) although work addiction is not a new behavioral addiction, work addiction research is still in its infancy; (b) work addiction is largely similar to other behavioral addictions; (c) work addiction and workaholism are actually the same; and (d) there is no compelling evidence that work addiction occurs before adulthood.

Disentangling the role of users' preferences and impulsivity traits in problematic Facebook use.

The use of social network sites (SNSs) has grown dramatically. Numerous studies have shown that SNS users may suffer from excessive use, associated with addictive-like symptoms. With a focus on the popular SNS Facebook (FB), our aims in the current study were twofold: First, to explore the heterogeneity of FB usage and determine which kind of FB activity predicts problematic usage; second, to test whether specific impulsivity facets predict problematic use of FB. To this end, a sample of FB users (N = 676) completed an online survey assessing usage preferences (e.g., types of activities performed), symptoms of problematic FB use and impulsivity traits. Results indicated that specific usage preferences (updating one's status, gaming via FB, and using notifications) and impulsive traits (positive and negative urgency, lack of perseverance) are associated to problematic FB use. This study underscores that labels such as FB "addiction" are misleading and that focusing on the actual activities performed on SNSs is crucial when considering dysfunctional usage. Furthermore, this study clarified the role of impulsivity in problematic FB use by building on a theoretically driven model of impulsivity that assumes its multidimensional nature. The current findings have identifiable theoretical and public health implications.

Workaholism and negative work-related incidents among nurses.

The present study comprised 1,781 nurses who participated in an investigation about working conditions, sleep, and health. They answered a questionnaire about age, sex, marital status, children living at home, work hours per week, number of night shifts last year, and total sleep duration and that also included a validated instrument assessing workaholism. In addition, they were asked to report on eight items concerning negative work-related incidents (dozed off at work, dozed while driving, harmed or nearly harmed self, harmed or nearly harmed patients/others, and harmed or nearly harmed equipment). Logistic regression analyses identified several predictors of these specific incidents: Low age (dozed at work, harmed and nearly harmed self, harmed and nearly harmed equipment), male sex (harmed and nearly harmed self, nearly harmed equipment), not living with children (harmed patients/others), low percentage of full-time equivalent (nearly harmed self and harmed patients/others), number of night shifts last year (dozed off at work and while driving, nearly harmed patients/others) and sleep duration (inversely related to dozed off at work and while driving, nearly harmed self). However, the most consistent predictor of negative work-related incidents was workaholism which was positively and significantly associated with all the eight incidents.

Workaholism as a Mediator between Work-Related Stressors and Health Outcomes.

It is currently unknown if unfavorable working conditions, reflected by the demand-control-support model and the effort-reward imbalance model, directly influence health or if the effects may be mediated by work-related attitudes and behaviors such as workaholism. In the present study, 988 employees (55.6% males, mean age 36.09, SD = 9.23) from a large consultant firm participated in a cross-sectional survey assessing work variables such as job demands, job control, social support, effort, reward, and overcommitment. Workaholism was also assessed together with eight different health-related outcomes. Although direct effects of the work stressors on health were found on most health outcomes, the work-related stressors were overall strongly related to workaholism (R² = 0.522), which, in turn, was positively related to four (anxiety/insomnia, somatic symptoms, emotional exhaustion, and social dysfunction) of the eight outcome variables. Of a total of 40 relationships between work-related stressors and health outcomes, workaholism fully mediated three of these, and partly mediated 12. Overall, the study suggests that the effects of work-related stressors on health in many cases may be mediated by workaholism.

Prevalence and correlates of tattooing in Norway: A large-scale cross-sectional study.

To our knowledge, no previous large-scale study has examined the prevalences and correlates of having only easily concealed tattoos, or readily visible tattoos. We conducted an exploratory online survey in Norway asking 15,654 (6,151 females) persons aged 16-91 (m = 33.65 ± 12.27) about various demographic, sports, substance use, mental health, personality, and tattooing questions. The estimated prevalence of tattooing was 20.8% (females: 23.8%, males: 17.9%), of which 13.3% had readily visible tattoos. Results of multivariate logistic regression analysis indicated that females, being older than 19 years, higher body mass index, lifetime anabolic-androgenic steroid use (AAS), and higher scores on extraversion were associated with higher odds of having a tattoo. Factors associated with higher odds of having only easily concealed tattoos were being 40-49 (versus those ≤ 19) years old, being only high school or tertiary (versus being only primary school) educated, often or not (versus always) exercising in a gymnasium, and high scores on agreeableness. Females, and higher scores on extraversion and neuroticism were associated with higher odds of having at least one readily visible tattoo. Our findings delineate the significance of demographic variables, gymnasium exercise, AAS, and personality in the practice of tattooing.

Problematic Social Media Use: Results from a Large-Scale Nationally Representative Adolescent Sample.

Despite social media use being one of the most popular activities among adolescents, prevalence estimates among teenage samples of social media (problematic) use are lacking in the field. The present study surveyed a nationally representative Hungarian sample comprising 5,961 adolescents as part of the European School Survey Project on Alcohol and Other Drugs (ESPAD). Using the Bergen Social Media Addiction Scale (BSMAS) and based on latent profile analysis, 4.5% of the adolescents belonged to the at-risk group, and reported low self-esteem, high level of depression symptoms, and elevated social media use. Results also demonstrated that BSMAS has appropriate psychometric properties. It is concluded that adolescents at-risk of problematic social media use should be targeted by school-based prevention and intervention programs.

The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey.

Social media has become an increasingly popular leisure activity over the last decade. Although most people's social media use is non-problematic, a small number of users appear to engage in social media excessively and/or compulsively. The main objective of this study was to examine the associations between addictive use of social media, narcissism, and self-esteem. A cross-sectional convenient sample of 23,532 Norwegians (Mage=35.8years; range=16-88years) completed an open web-based survey including the Bergen Social Media Addiction Scale (BSMAS), the Narcissistic Personality Inventory-16, and the Rosenberg Self-Esteem Scale. Results demonstrated that lower age, being a woman, not being in a relationship, being a student, lower education, lower income, lower self-esteem, and narcissism were associated with higher scores on the BSMAS, explaining a total of 17.5% of the variance. Although most effect sizes were relatively modest, the findings supported the notion of addictive social media use reflecting a need to feed the ego (i.e., narcissistic personality traits) and an attempt to inhibit a negative self-evaluation (i.e., self-esteem). The results were also consistent with demographic predictions and associations taken from central theories concerning "addiction", indicating that women may tend to develop more addictive use of activities involving social interaction than men. However, the cross-sectional study design makes inferences about directionality impossible.

The relationship between study addiction and work addiction: A cross-cultural longitudinal study.

Aims Recent empirical studies investigating "study addiction" have conceptualized it as a behavioral addiction, defined within the framework of work addiction. This study is the first attempt to examine the longitudinal relationship between study addiction and work addiction. Methods The Bergen Study Addiction Scale (BStAS), the Bergen Work Addiction Scale (BWAS), and the Ten-Item Personality Inventory were administered online together with questions concerning demographics and study-related variables in two waves. In Wave 1, a total of 2,559 students in Norway and 2,177 students in Poland participated. A year later, in Wave 2, 379 Norwegians and 401 Polish who began to work professionally completed the survey. Results The intraclass correlation between BStAS and BWAS revealed that the scores were somewhat related; however, the relationship was slightly weaker than the temporal stability of both constructs. In the Norwegian sample, scoring higher on neuroticism and lower on learning time outside educational classes in Wave 1 was positively related to work addiction in Wave 2, whereas gender was unrelated to work addiction in Wave 2 when controlling for other studied variables in either samples. Conclusion Study addiction and work addiction appear to be closely related suggesting that the former may be a precursor for (or an early form of) the latter.

The Relationships between Workaholism and Symptoms of Psychiatric Disorders: A Large-Scale Cross-Sectional Study.

Despite the many number of studies examining workaholism, large-scale studies have been lacking. The present study utilized an open web-based cross-sectional survey assessing symptoms of psychiatric disorders and workaholism among 16,426 workers (Mage = 37.3 years, SD = 11.4, range = 16-75 years). Participants were administered the Adult ADHD Self-Report Scale, the Obsession-Compulsive Inventory-Revised, the Hospital Anxiety and Depression Scale, and the Bergen Work Addiction Scale, along with additional questions examining demographic and work-related variables. Correlations between workaholism and all psychiatric disorder symptoms were positive and significant. Workaholism comprised the dependent variable in a three-step linear multiple hierarchical regression analysis. Basic demographics (age, gender, relationship status, and education) explained 1.2% of the variance in workaholism, whereas work demographics (work status, position, sector, and annual income) explained an additional 5.4% of the variance. Age (inversely) and managerial positions (positively) were of most importance. The psychiatric symptoms (ADHD, OCD, anxiety, and depression) explained 17.0% of the variance. ADHD and anxiety contributed considerably. The prevalence rate of workaholism status was 7.8% of the present sample. In an adjusted logistic regression analysis, all psychiatric symptoms were positively associated with being a workaholic. The independent variables explained between 6.1% and 14.4% in total of the variance in workaholism cases. Although most effect sizes were relatively small, the study's findings expand our understanding of possible psychiatric predictors of workaholism, and particularly shed new insight into the reality of adult ADHD in work life. The study's implications, strengths, and shortcomings are also discussed.

Study Addiction: A Cross-Cultural Longitudinal Study Examining Temporal Stability and Predictors of Its Changes.

Background and aims "Study addiction" has recently been conceptualized as a behavioral addiction and defined within the framework of work addiction. Using a newly developed measure to assess this construct, the Bergen Study Addiction Scale (BStAS), the present study examined the 1-year stability of study addiction and factors related to changes in this construct over time, and is the first longitudinal investigation of study addiction thus far. Methods The BStAS and the Ten Item Personality Inventory were administered online together with questions concerning demographics and study-related variables in two waves. In Wave 1, a total of 2,559 students in Norway and 2,177 students in Poland participated. A year later, in Wave 2, 1,133 Norwegians and 794 Polish, who were still students completed the survey. Results The test-retest reliability coefficients for the BStAS revealed that the scores were relatively stable over time. In Norway, scores on the BStAS were higher in Wave 2 than in Wave 1, whereas in Poland, the reverse pattern was observed. Learning time outside classes at Wave 1 was positively related to escalation of study addiction symptoms over time in both samples. Being female and scoring higher on neuroticism was related to an increase in study addiction in the Norwegian sample only. Conclusions Study addiction appears to be temporally stable, and the amount of learning time spent outside classes predicts changes in study addiction 1 year later.

Study addiction--a new area of psychological study: conceptualization, assessment, and preliminary empirical findings.

AIMS: Recent research has suggested that for some individuals, educational studying may become compulsive and excessive and lead to 'study addiction'. The present study conceptualized and assessed study addiction within the framework of workaholism, defining it as compulsive over-involvement in studying that interferes with functioning in other domains and that is detrimental for individuals and/or their environment. METHODS: The Bergen Study Addiction Scale (BStAS) was tested - reflecting seven core addiction symptoms (salience, mood modification, tolerance, withdrawal, conflict, relapse, and problems) - related to studying. The scale was administered via a cross-sectional survey distributed to Norwegian (n = 218) and Polish (n = 993) students with additional questions concerning demographic variables, study-related variables, health, and personality. RESULTS: A one-factor solution had acceptable fit with the data in both samples and the scale demonstrated good reliability. Scores on BStAS converged with scores on learning engagement. Study addiction (BStAS) was significantly related to specific aspects of studying (longer learning time, lower academic performance), personality traits (higher neuroticism and conscientiousness, lower extroversion), and negative health-related factors (impaired general health, decreased quality of life and sleep quality, higher perceived stress). CONCLUSIONS: It is concluded that BStAS has good psychometric properties, making it a promising tool in the assessment of study addiction. Study addiction is related in predictable ways to personality and health variables, as predicted from contemporary workaholism theory and research.

Polypharmacy among anabolic-androgenic steroid users: a descriptive metasynthesis.

BACKGROUND: As far as we are aware, no previous systematic review and synthesis of the qualitative/descriptive literature on polypharmacy in anabolic-androgenic steroid(s) (AAS) users has been published. METHOD: We systematically reviewed and synthesized qualitative/descriptive literature gathered from searches in electronic databases and by inspecting reference lists of relevant literature to investigate AAS users' polypharmacy. We adhered to the recommendations of the UK Economic and Social Research Council's qualitative research synthesis manual and the PRISMA guidelines. RESULTS: A total of 50 studies published between 1985 and 2014 were included in the analysis. Studies originated from 10 countries although most originated from United States (n=22), followed by Sweden (n=7), England only (n=5), and the United Kingdom (n=4). It was evident that prior to their debut, AAS users often used other licit and illicit substances. The main ancillary/supplementary substances used were alcohol, and cannabis/cannabinoids followed by cocaine, growth hormone, and human chorionic gonadotropin (hCG), amphetamine/meth, clenbuterol, ephedra/ephedrine, insulin, and thyroxine. Other popular substance classes were analgesics/opioids, dietary/nutritional supplements, and diuretics. Our classification of the various substances used by AAS users resulted in 13 main groups. These non-AAS substances were used mainly to enhance the effects of AAS, combat the side effects of AAS, and for recreational or relaxation purposes, as well as sexual enhancement. CONCLUSIONS: Our findings corroborate previous suggestions of associations between AAS use and the use of other licit and illicit substances. Efforts must be intensified to combat the debilitating effects of AAS-associated polypharmacy.

Prevalence and correlates of anabolic-androgenic steroid use in a nationally representative sample of 17-year-old Norwegian adolescents.

BACKGROUND: Anabolic-androgenic steroid (AAS) use has been identified as a serious public health problem. OBJECTIVES: This study investigates the prevalence and correlates of AAS use among Norwegian adolescents. METHODS: In 2012, a nationally representative sample of 2,055 17-year-old adolescents (963 males and 1,088 females) participated in a survey. The response rate was 70.4%. In addition to questions about AAS use, participants completed the Parental Monitoring Scale, the Family Relations/Cohesion Scale, the Alcohol Use Disorders Identification Test C, the Mini-International Personality Item Pool-Five-Factor Model, the Eysenck Narrow Impulsiveness Subscale, the Arnett Inventory of Sensation Seeking, the Short-Form Buss-Perry Aggression Questionnaire, the Hospital Anxiety and Depression Scale, and the UCLA Loneliness Scale. They also answered questions about demography, gambling, smoking, snus, and narcotic use. Descriptive statistics and logistic regression were used to analyze the data. RESULTS: The lifetime prevalence of AAS use was 0.30% (0.52% in males and 0.09% in females), while current prevalence was 0.25%. Moreover, 19.39% of the sample reported having an acquaintance who used or had used AAS. Having an acquaintance who used or had used AAS was significantly related to snus use, depression, aggression, extraversion, and conscientiousness in both univariate and multivariate logistic regression analyses. Conclusions/Importance: Our findings suggest a high prevalence of AAS use among Norwegian adolescents and denote the significance of social, personality, and health factors in adolescents' exposure to AAS milieu.

Attitudes towards use of anabolic-androgenic steroids among Ghanaian high school students.

BACKGROUND: This study is a pioneering exploration of nonmedical anabolic-androgenic steroid (AAS) use among Ghanaian high school students. METHODS: Of 2683 students contacted, 2597 (1412 females) participated in a survey (response rate=96.8%). Participants (age range=11-35 years, M=17.2, SD=1.4) provided information on demographics, sports participation, and nonmedical AAS use. RESULTS: The overall lifetime prevalence of use was 3.8% (males=4.9%, females=3.1%). Moreover, 18.5% reported having an acquaintance that has used AAS while 6.0% of the sample had previously been offered AAS. However, none of the AAS users provided a valid name of the AAS they had used. Use and intent to use AAS was also significantly higher among males, teenagers (versus over 19-year-olds), athletes (versus recreational sportspeople, and nonathletes), and participants in ball games (versus other sports). Female gender, parental absence, religiosity, and participation in jogging had significant positive association with AAS use attitudes whereas participation in martial arts, and swimming had significant negative association with AAS use attitudes. CONCLUSIONS: The high prevalence of use and intent to use AAS among Ghanaian high school students should be of concern to authorities.

Workaholism: An overview and current status of the research.

AIMS: This article addresses the stable tendency of excessive and compulsive working (i.e., workaholism). The main aim is to provide an updated oversight of the research area related to definition, prevalence, assessment, causes, outcomes, intervention as well as proposed future research directions. The target-population is both researchers and clinicians. METHODS: The findings are identified by narratively reviewing the literature. RESULTS: Research into workaholism has expanded over the last two decades. Several screening instruments to identify workaholics have been developed. The vast majority of these are based on seemingly atheoretical foundations, lacking convergent validity with each other and with related constructs. Research generally shows that workaholism is related to impaired health and well-being as well as to conflicts between work and family life. Workaholism is probably caused and maintained by a range of factors, although solid empirical underpinnings for suggested antecedents are currently sparse. So far no well-evaluated interventions for workaholism exist. CONCLUSIONS: At present, workaholism as a construct lacks conceptual and empirical clarity. Future research efforts should prioritize longitudinal studies as well as studies incorporating unbiased, firm parameters of both health and behavior.

The prevalence of workaholism: a survey study in a nationally representative sample of Norwegian employees.

Workaholism has become an increasingly popular area for empirical study. However, most studies examining the prevalence of workaholism have used non-representative samples and measures with poorly defined cut-off scores. To overcome these methodological limitations, a nationally representative survey among employees in Norway (N = 1,124) was conducted. Questions relating to gender, age, marital status, caretaker responsibility for children, percentage of full-time equivalent, and educational level were asked. Workaholism was assessed by the use of a psychometrically validated instrument (i.e., Bergen Work Addiction Scale). Personality was assessed using the Mini-International Personality Item Pool. Results showed that the prevalence of workaholism was 8.3% (95% CI  = 6.7-9.9%). An adjusted logistic regression analysis showed that workaholism was negatively related to age and positively related to the personality dimensions agreeableness, neuroticism, and intellect/imagination. Implications for these findings are discussed.

The aetiology and trajectory of anabolic-androgenic steroid use initiation: a systematic review and synthesis of qualitative research.

BACKGROUND: To our knowledge, there has never been a systematic review and synthesis of the qualitative literature on the trajectory and aetiology of nonmedical anabolic-androgenic steroid (AAS) use. METHODS: We systematically reviewed and synthesized qualitative literature gathered from searches in PsycINFO, PubMed, ISI Web of Science, Google Scholar, and reference lists of relevant literature to investigate AAS users' ages of first use and source(s), history prior to use, and motives/drives for initiating use. We adhered to the recommendations of the UK Economic and Social Research Council's qualitative research synthesis manual and the PRISMA guidelines. RESULTS: A total of 44 studies published between 1980 and 2014 were included in the synthesis. Studies originated from 11 countries: the United States (n = 18), England (n = 8), Australia (n = 4), Sweden (n = 4), both England and Wales (n = 2), and Scotland (n = 2). One study each originated from Brazil, Bulgaria, Canada, France, Great Britain, and Norway. The majority of AAS users initiated use before age 30. Sports participation (particularly power sports), negative body image, and psychological disorders such as depression preceded initiation of AAS use for most users. Sources of first AAS were mainly users' immediate social networks and the illicit market. Enhanced sports performance, appearance, and muscle/strength were the paramount motives for AAS use initiation. CONCLUSIONS: Our findings elucidate the significance of psychosocial factors in AAS use initiation. The proliferation of AAS on the illicit market and social networks demands better ways of dealing with the global public health problem of AAS use.

Social network site addiction - an overview.

Research into frequent, excessive, and compulsive social network activity has increased the last years, in which terms such as "social network site addiction" and "Facebook addiction" have been used interchangeably. The aim of this review is to offer more knowledge and better understanding of social network site addiction (SNS-addiction) among researchers as well as clinicians by presenting a narrative overview of the research field in terms of definition, measurement, antecedents, consequences, and treatment as well as recommendations for future research efforts. Seven different measures of SNS-addiction have been developed, although they have to a very little extent been validated against each other. The small number of studies conducted so far on this topic suggests that SNS-addiction is associated with health-related, academic, and interpersonal problems/issues. However such studies have relied on a simple cross-sectional study design. It is therefore hard to draw any conclusions about potential causality and long-term effects at this point, beyond hypothetical speculations. Empirical studies suggest that SNS-addiction is caused by dispositional factors (e.g., personality, needs, self-esteem), although relevant explanatory socio-cultural and behavioral reinforcement factors remain to be empirically explored. No well-documented treatment for SNS-addiction exists, but knowledge gained from Internet addiction treatment approaches might be transferable to SNS-addiction. Overall, the research on this topic is in its infancy, and as such the SNS-addiction construct needs further conceptual and empirical exploration. There is a great demand for studies using careful longitudinal designs and studies which include objective measures of both behavior and health based on broad representative samples.

The relationships between behavioral addictions and the five-factor model of personality.

Aims Although relationships between addiction and personality have previously been explored, no study has ever simultaneously investigated the interrelationships between several behavioral addictions, and related these to the main dimensions of the five-factor model of personality. Methods In this study, 218 university students completed questionnaires assessing seven different behavioral addictions (i.e., Facebook addiction, video game addiction, Internet addiction, exercise addiction, mobile phone addiction, compulsive buying, and study addiction) as well as an instrument assessing the main dimensions of the five-factor model of personality. Results Of the 21 bivariate intercorrelations between the seven behavioral addictions, all were positive (and nine significantly). The results also showed that (i) Neuroticism was positively associated with Internet addiction, exercise addiction, compulsive buying, and study addiction, (ii) Extroversion was positively associated with Facebook addiction, exercise addiction, mobile phone addiction, and compulsive buying, (iii) Openness to experience was negatively associated with Facebook addiction and mobile phone addiction, (iv) Agreeableness was negatively associated with Internet addiction, exercise addiction, mobile phone addiction, and compulsive buying, and (v) Conscientiousness was negatively associated with Facebook addiction, video game addiction, Internet addiction, and compulsive buying and positively associated with exercise addiction and study addiction. Conclusions The positive associations between the seven behavioral addictions suggest one or several underlying pathological factors. Hierarchical multiple regressions showed that personality traits explained between 6% and 17% of the variance in the seven behavioral addictions, suggesting that personality to a varying degree explains scores on measures of addictive behaviors.

Facebook addiction: a reply to Griffiths (2012).

Our recent paper about a new Facebook addiction scale has stimulated an interesting and very welcome debate among researchers concerning the assessment of excessive use of social networking sites. The critique put forward by Griffiths (2012) is mainly built on the conception of "Facebook" as too narrow of a concept, and that assessment of addiction to social network sites in general would be more appropriate. We argue that the concept of "social network site" is not more specific than "Facebook," so "Facebook addiction" rather than "social network addiction" is defensible. We acknowledge that more research in this area is needed and point specifically to new and important directions for future research that can shed light on the mechanism of addiction to social network sites.