Abstract
Excessive problematic sexual behavior in the form of compulsive sexual behavior disorder (CSBD), hypersexuality (HS), and sex addiction has gained increasing credibility in recent years and has led to the development of various psychometric instruments to assess such behavior. However, there is still considerable controversy over the operational definition of such concepts and whether they can be used interchangeably to describe the behavior. One recently developed tool is the Bergen–Yale Sex Addiction Scale (BYSAS) based on the “components model of addiction.” The present study validated the Italian version of the BYSAS. The BYSAS was administered to a large Italian-speaking sample of Italian adults [N = 1230, aged 18 to 67 years] along with psychometric instruments assessing the “Big Five” personality traits, self-esteem, depression, and two other measures of addictive sexual behavior (i.e., PATHOS and Shorter PROMIS Questionnaire–Sex Subscale). Confirmatory factorial analysis supported a one-factor solution. Furthermore, the scale had good internal consistency (Cronbach’s α = 0.787). The BYSAS was positively associated with extroversion, openness to experience, depression, and problematic sexual behavior, and negatively associated with self-esteem, conscientiousness, emotional stability, agreeableness, and age. Based on the findings, the BYSAS is a brief, psychometrically reliable and valid measure for assessing sex addiction among Italian adults.
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During the last decade, problematic excessive sexual behavior has been conceptualized in many different ways, including compulsive sexual behavior disorder (CSBD), hypersexuality, and sex addiction (among many others) (Kafka, 2010). Despite a general lack of consensus, many scholars view such excessive behavior as an impulse control disorder characterized by repetitive, intrusive, and distressing thoughts, fantasies, impulses, and sexual behaviors that negatively affect many aspects of an individual’s life (Derbyshire & Grant, 2015). Such individuals feel an obsessive pathological urge, and they try to repeatedly resist, and experience a loss of control over their own behavior (Kafka, 2010). In short, sex becomes the most important and preoccupying behavior in the individual’s life (Griffiths, 2005). More generally, excessive problematic sex has been characterized as involving sexual desires, such as fixations on partners or multiple partners, compulsive masturbation, and compulsive sex (Coleman, 1992).
CSBD and sex addiction were not included in the DSM-5 (American Psychiatric Association, 2013) for different reasons. The term “compulsive sexual behavior disorder” was not developed until 5 years later after publishing the DSM-5. Moreover, not all researchers unanimously agree on the conceptualization of “sex addiction” (e.g., Kafka, 2010). In 2018, CSBD was classified in the eleventh revision of the International Classification of Disease for Mortality and Morbidity Statistics (ICD-11), within the session of impulse control disorders and distinct from paraphilias (Kraus, et al., 2018). The estimated prevalence rate of CSBD/sex addiction is approximately 3 to 6%, although extensive representative epidemiological survey studies have not been conducted (Coleman, 1992; Carnes, 1994; Kraus et al., 2016a, b; Sussman et al., 2011).
For a diagnosis of CSBD, the ICD-11 lists symptoms of uncontrolled sexual impulses for a duration of at least 6 months with significant consequences, not linked to moral and ethical judgments, but related to the personal, familiar, social, and working sphere (Kraus, et al., 2018). CSBD manifests itself in one or more of the following behavioral patterns: (i) repetitive sexual activities that have become the central focus of the individual’s life to the point that the individual neglects health, personal care, and occupational/educational activities and responsibilities; (ii) the individual has made numerous efforts to control or significantly reduce repetitive sexual behavior but without success; (iii) the individual continues to have repetitive sexual behaviors despite the negative consequences in different areas of their life (e.g., social activities, work); and (iv) the individual continues to engage in repetitive sexual behaviors even when they derive little or no satisfaction from it (Kraus, et al., 2018). In addition, the guidelines for diagnosis were developed to help clinicians make a correct differential diagnosis, such as differentiating compulsive sexual behavior disorder from several other mental disorders and other health conditions resulting from a medical condition (e.g., bipolar disorder) (Kraus et al., 2018).
Furthermore, excessive problematic sex has been associated with several constructs and variables. For example, many studies have analyzed the relationship between internet pornography use and excessive problematic sex (e.g., Bőthe et al., 2018, 2019a, b; Chen et al., 2018; Griffiths, 2011). Moreover, excessive problematic sex has been associated with different sociocultural backgrounds, with a past of sexual abuse in childhood and adolescence being a key risk factor (Hill et al., 2007; Kraus et al., 2016a, b).
In relation to demographic variables, the literature has reported a positive relationship not only with being dependent upon sex, being young, and being male, but also with being single and having higher education (Campbell & Stein, 2015; Kafka, 2010; Karila et al., 2014; Sussman et al., 2011; Wéry & Billieux, 2017). However, some authors claim that women are underrepresented in the field of research (Dhuffar & Griffiths, 2014; Klein et al., 2014). Bőthe et al. (2018) reported a relationship between excessive problematic sex, gender, and sexual orientation. Gay men were found to be most at risk of engaging in excessive problematic sex. Furthermore, Bőthe et al., (2019a, b) examined the relationship between impulsivity, compulsivity, problematic pornography use, and excessive problematic sex. They found that impulsivity was more prominent than compulsivity in excessive problematic sex than in problematic pornography use.
Excessive problematic sex is characterized by sexual promiscuity, compulsive autoeroticism, addiction to pornographic material, and hypersexuality within a stable relationship (Bőthe et al., 2018; Kafka, 2010). Individuals engaging in excessive problematic sex feel an intense and unstoppable desire to engage in sexual activity which gradually increases in intensity in order to maintain the same satisfaction. They are unable to choose if and when to have sex, causing a significant impact on their lives with a progressive impairment of most areas of their lives (Fong et al., 2012). On a physiological level, comorbidity with other sexual dysfunctions can exist, such as premature ejaculation and delayed ejaculation (Derbyshire & Grant, 2015). The frequent uncontrolled promiscuity of such individuals is often associated with the presence of sexually transmitted diseases (McLeod & Day, 2014). These individuals usually experience anxiety, guilt, sense of inadequacy, depression, and aggressive behavior (Andreassen et al., 2018). Sexual behavior is often implemented to alleviate or avoid these withdrawal symptoms and may be explained by a dysregulation of the hypothalamic–pituitary–adrenal axis, resulting in high cortisol levels (Chatzittofis et al., 2016).
Several authors have found a correlation between depression, anxiety, and addiction (Staff, 2007) and excessive problematic sex more specifically (Lewczuk et al., 2017). Furthermore, previous studies have found that the “Big Five” personality traits (i.e., extroversion, neuroticism, agreeableness, conscientiousness, and openness) have associations with excessive problematic sex. More specifically, Shimoni et al. (2018) noted that: “individuals who are highly extroverted had sexual activity at an early age, many sexual partners, variety of sexual activity, and dangerous and careless sexual activity compared with introverted individuals. Neuroticism has been associated with liberal views about sex, unsafe sex, a problem in impulse control and negative emotions, such as anxiety, depression, and anger. Individuals with low agreeableness and conscientiousness typically enjoy unsafe sex, sexual liberalism, and impulsive risk-taking behavior compared with those with high agreeableness and conscientiousness. Finally, men with low openness tend to develop dangerous sexual behavior, such as infidelity and promiscuous sexual behavior” (Shimoni et al., 2018, p.1016). In the extant literature, specific personality traits (e.g., neuroticism and low conscientiousness) have been positively associated with many different types of addiction including sex addiction (Badii et al., 2020). Among the personality aspects that are related to sex addiction (Karila et al., 2014), high levels of extroversion and neuroticism and low levels of conscientiousness have been reported (Pinto et al., 2013; Rettenberger et al., 2016; Schmitt, 2004; Walton et al., 2017), as well as a positive association with narcissism (Kafka, 2010; Kasper et al., 2015) and the negative association with self-esteem (Badii et al., 2020; Cooper et al., 1999; Delmonico & Griffin, 2008; Doornwaard et al., 2016; Kor et al., 2014).
The growing use of technology (particularly internet use) has led to a more diversified engagement in sex such as cybersex and telephone sex (Kuss et al., 2014). Despite the high social importance and growing attention, interest in excessive problematic sex has remained at the sidelines of systematic scientific research and psychiatric classification (Kafka, 2014; Kraus et al., 2016a, b; Potenza et al., 2017).
Kafka (2010) proposed criteria for the diagnosis of “hypersexual disorder” to be included in DSM-5, highlighting how fantasies, impulses, and sexual behaviors can be due to stressful life events or dysphoric states. The individual’s consequent and vain attempt to take control causes physical or emotional damage to themselves and others, with impairment of social and professional functions. Considerable progress has been made to classify excessive problematic sex as an addiction, but there is no unanimous agreement in the scientific community.
Despite the different terms used to describe problematic excessive sexual behavior (e.g., compulsive sex, addictive sex, hypersexuality), and the lack of consensus of international researchers (e.g. Schaefer & Ahlers, 2017) on the correct terminology to be used, the present study uses the term “sex addiction” and refers to the construct outlined by Andreassen et al. (2018) who defined sex addiction “as being intensely involved with sexual activities (e.g., fantasies, masturbation, intercourse, pornography) across different media (cybersex, telephone sex, etc.). Furthermore, those with the condition report their sexual motivation is uncontrollable, and that they expend a lot of time both thinking about and being engaged in sexual activities that negatively affects many other areas in their lives” (p.2). The CSBD construct is somewhat aligned with the construct of sex addiction, although there is no specific consensus in the literature (Schaefer & Ahlers, 2017), as both refer to (i) uncontrollable sexual behaviors; (ii) failure to reduce and/or control sexual impulses; (iii) repetitive sexual activities become central to the person’s life, to the point of neglecting personal health and care or other interests, activities, and responsibilities; and (iv) sexual behavior is continuous and repetitive, despite adverse consequences that derive from it or the little or no satisfaction (World Health Organization, 2018). Arguably, the term “hypersexuality” has characteristics that overlap with the construct of “sex addiction” in that it has been defined as “dysregulated sexual behavior consisting of diminished control over sexual urges, fantasies, and behaviors, accompanied by negative consequences and significant personal distress” (Bőthe et al., 2018, p.2265).
Despite this disagreement, the hallmarks of all conceptualizations of “sex addiction” are derived from obsessive, compulsive, impulsive, and/or out of control sexual behavior (e.g., Miner et al., 2019). Moreover, Karila et al., (2014) said that: “Sexual addiction/hypersexual disorder is used as an umbrella construct to encompass various types of problematic behaviors, including excessive masturbation, cybersex, pornography use, sexual behavior with consenting adults, telephone sex, strip club visitation, and other behaviors. The adverse consequences of sexual addiction are similar to the consequences of other addictive disorders” (Karila et al., 2014).
However, at present, the sex addiction construct still remains controversial (e.g., Schaefer & Ahlers, 2017) and in many cases the terms (e.g., compulsive sexual behavior, sex addiction, hypersexuality, etc.) are used interchangeably: “Compulsive sexual behavior, also known as sex addiction, hypersexuality, excessive sexuality, or problematic sexual behavior, is characterized by repetitive and intense preoccupations with sexual fantasies, urges, and behaviors that are distressing to the individual and/or result in psychosocial impairment” (Derbyshire & Grant, 2015, p.37).
Although the terms are often used interchangeably, according to different authors, compulsive sex, sex addiction, and hypersexuality are different constructs. As Andreassen et al. (2018) note: “There has been much debate over many years as to whether this behavior is best conceptualized as an obsessive–compulsive disorder, an addiction, or a disorder of impulse-control, and consequently been explained according to different conceptual models…In line with this, a limitation of prior research is the absence of a general consensus about how sex addiction should be determined, understood, and assessed” (p.2).
Due to the lack of consensus over its conceptualization, psychometric scales used in the past decade to assess sex addiction differ in procedure, development, factorial structure cutoffs, and psychometric properties (Campbell & Stein, 2015; Hook et al., 2010; Karila et al., 2014; Wéry & Billieux, 2017). Such a rapid development of many assessment tools has also led to various methodological weaknesses. For instance, many scales have either been utilized in small clinical samples that are not representative of the population (Karila et al., 2014a, b). Furthermore, some of these scales are very specific for a particular type of population (females, males, heterosexual, homosexual, etc.) (Carnes, 1991; Carnes & Weiss, 2002; Carnes & O’Hara, 2000), or the medium (e.g., online sexual behavior) (Carnes et al., 2010; Wéry & Billieux, 2016). The contemporary study of sex addiction has led to the development of increasingly appropriate tests such as the short Internet Addiction Test (Young, 1998) being adapted to assess online sexual activities (e.g., IAT-Sex; Laier et al., 2013; Pawlikowski et al., 2013; Wéry et al., 2016), Screening Test for Sexual Addiction (SAST; Carnes, 1989), the SAST-Revised (SAST-R; Carnes et al., 2010), Shorter PROMIS Questionnaire (SPQ-S; Christo et al., 2003), and PATHOS sex addiction screen (Carnes et al., 2012). In addition, there are validated scales that evaluate and conceptualize hypersexuality as a compulsive, impulsive, and/or sexual dysregulation disorder (e.g. Kalichman & Rompa, 1995; Reid et al., 2011).
Many previous scales assessing various behavioral addictions have been based on the six criteria in the components model of addiction (Griffiths, 2005). Applied to sex, the six criteria are salience, over-preoccupation with sex or wanting sex; mood modification, using sex to modify mood state; tolerance, increasing the amounts of sex over time; withdrawal, unpleasant emotional and physical symptoms when unable to have sex; conflict, compromising all areas of life as a result of sex (e.g., relationships, occupation/education, social activities, etc.); and relapse, returning to previous problematic patterns of sexual behavior after a period of abstinence or control.
Another limitation of these instruments is the response structure. The SAST-R (Carnes et al., 2010) and PATHOS (Carnes et al., 2012) both use dichotomous (yes/no) responses that are not expansive enough in assessing complex problem and should ideally be assessed using a continuous response dimension (e.g., Likert scale) (Walters et al., 2011; Carvalho et al., 2015). Finally, there is the issue of brevity. In a systematic review of 24 self-report hypersexuality scales, Womack et al. (2013) reported that the scales assessed had an average of 32.5 items. Scale brevity is a key criterion for increasing scale efficacy, particularly in the context of research (Koronczai et al., 2011).
Some of the core components of behavioral addiction are not highlighted in the most common sex addiction scales (Griffiths, 2005). The growing interest in sex addiction research has been accompanied with a rapid development of many other instruments, focusing on brevity, and psychometric validation (Griffiths, 2012; Paz et al., 2019). Focusing on brevity and efficacy is the Bergen–Yale Sex Addiction Scale (BYSAS) (Andreassen et al., 2018). At present, there is no scale that assesses sex addiction in the Italian territory which includes the core components of behavioral addiction (Griffiths, 2005) and that is (i) short (i.e., having few items), (ii) psychometrically robust, and (iii) has items that are assessed on a Likert scale. More specifically, the scale is based on the six core components of behavioral addiction comprising salience, mood modification, tolerance, withdrawal symptoms, conflicts, and relapse/loss of control. Consequently, the aim of the present study was to translate and validate the BYSAS test in the Italian context to have a new research tool that has the following characteristics: (i) be short with only a few items, (ii) based on core addiction criteria, and (iii) be psychometrically valid and reliable. As well as evaluating the scale’s psychometric properties, it was hypothesized that the BYSAS would to be positively correlated with theoretically related constructs and variables (being male, single, higher educated, extroversion, and openness) and negatively correlated with theoretically divergent constructs and variables (age, agreeableness and conscientiousness) (Andreassen et al., 2018; Nunnally & Bernstein, 1994).
Methods
Participants and Procedure
Participants were recruited by posting links to the survey in different Italian online forums and social media communities (e.g., Facebook), via a link that advertised a survey to be completed on the Google Forms platform. The link was distributed by the research team, inviting individuals to participate voluntarily, anonymously, and without any reward. During a 20-day period (from July 1, 2020, to July 19, 2020), 1,230 voluntary participants responded to the online survey, which took around 15–20 min to complete. The inclusion criteria were that participants had to be (i) at least 18 years old and (ii) Italian-speaking citizens. All the participants completed the survey anonymously after providing their informed consent. All participants completed all parts of the survey, so there were no missing data.
Measures
Sociodemographics, Life Habits, and General Questions Related to Sexual Behavior
The survey included questions concerning the sociodemographic aspects of the participants (e.g., sex, age, educational level, relationship status, work, sexual orientation). In addition, questions were asked about the participants’ sexual behavior (on a five-point scale from ‘never’ to ‘very often’) including weekly masturbation activity, weekly sexual activity, whether they accessed online pornography websites (yes/no), how often they accessed online pornography, how often they masturbated using online pornography, and rating on the quality of their sex life (‘very low’ to ‘very high’). Participants were also asked the number of sexual contacts in the past 6 months. If there was at least one sexual contact within the past 6 months, participants were asked to indicate how satisfied they were with the frequency and the quality of them (‘not satisfied’ to ‘very satisfied’). Participants were also asked whether they (i) had ever experienced sexual abuse (yes/no), (ii) had unprotected sex (‘never’ to ‘very often’), and (iii) ever engaged in group sex (‘never’ to ‘very often’). Another question asked was: “During the lockdown due to Covid-19, did your masturbation sexual activity increase?” rated on a scale of 1 (not at all) to 5 (very much). Other variables examined were weekly sleep quality of the participants (very poor to very good), loneliness (‘never’ to ‘most of the time’), and alcohol and drug use (never to very often).
Rosenberg’s Self-Esteem Scale (RSES; Rosenberg, 1965)
The 10-item Italian version of RSES (Prezza et al., 1997) was used to assess self-esteem (e.g., “On the whole, I am satisfied with myself”) using a four-point Likert type scale from 0 (strongly disagree) to 3 (strongly agree). Scores range between 0 and 30 and higher scores indicate greater self-esteem. Cronbach’s alpha in the present study was excellent (α = 0.90).
Ten-Item Personality Inventory (TIPI; Gosling et al., 2003)
The 10-item Italian version of the TIPI (Chiorri et al., 2015) was used to assess the Big Five personality traits (i.e., openness, conscientiousness, extraversion, agreeableness, and neuroticism [emotional stability]). The items are assessed on a seven-point scale from 1 (strongly disagree) to 7 (strongly agree). Example items include “I see myself as extraverted” and “I see myself as open to new experiences.” The scores range from 2 to 14 on each trait, and higher scores indicate a greater propensity for the given personality trait. Cronbach’s alpha in the present study was low (α = 0.50) but the original authors claimed that even a low α value still makes the scale usable (Gosling et al., 2003).
Shorter PROMIS Questionnaire–Sex Subscale (SPQ-SS; Christo et al., 2003; Lefever, 1988)
The complete SPQ-SS originally comprised 16 scales. In the present study, only the 10-item sex subscale of the SPQ was used. Each item (e.g., “I would take an opportunity to have sex despite having just had it with somebody else”) is assessed on a six-point scale from 0 (completely disagree) to 5 (completely agree). Score can range from 0 to 50, with higher scores indicating greater sex addiction. The scale was translated from English into Italian in the present study following the protocol described by Beaton et al. (2000). More specifically, the items were independently translated by a mother tongue translator and utilized internationally accepted practices for scale translation. The scale has not been validated previously in Italy, although previous Italian studies have used it (e.g., Pallanti et al., 2006). The present study used the scale to assess convergent and criterion validity, replicating the original BYSAS validation study (Andreassen et al., 2018). Cronbach’s alpha in the present study was good (α = 0.72).
Adult PROMIS Emotional Distress/Depression-Short Form (APEDD-SF; Cella et al., 2010)
The eight-item Italian version of the APEDD-SF (Fossati et al., 2015) was used to assess depression among individuals aged 18 years and older. The items (e.g., “I feel useless”) are answered by a scale of 1 (never) to 5 (very frequently) with scores ranging from 8 to 40, with a higher score indicating a higher level of depression. Cronbach’s alpha in the present study was excellent (α = 0.947).
PATHOS (Carnes et al., 2012)
The six-item PATHOS scale is a screening instrument that assesses sexual addiction utilizing dichotomous yes/no answers. Example items include “Do you often find yourself preoccupied with sexual thoughts?” and “Has anyone been hurt emotionally because of your sexual behavior?” If participants answer positively to four or more items, there is a likelihood of sexual addiction. The scale was translated from English into Italian in the present study following the protocol described by Beaton et al. (2000) and briefly described above. In the present study, although the Cronbach’s alpha was low (α = 0.512), the Kuder-Richardson-21 reliability coefficient (K-21), more suitable when all scale variables are dichotomous (Kuder & Richardson, 1937]), was sufficient (0.67). As indicated by the original developers, the PATHOS is suitable for an initial screening. However, the scale was considered reliable for the purposes of the present study.
Bergen–Yale Sex Addiction Scale (BYSAS; Andreassen et al., 2018)
The six-item BYSAS assesses the risk of sex addiction and is responded to on a five-point scale from 0 (very rarely) to 4 (very often) based on the components model of addiction (Griffiths, 2005). Applied to sex, the six criteria are salience, over-preoccupation with sex or wanting sex; mood modification, using sex to modify mood state; tolerance, increasing the amounts of sex over time to maintain high levels of satisfaction; withdrawal, unpleasant emotional and physical symptoms when unable to have sex; conflict, compromising all areas of life as a result of sex (e.g., relationships, occupation/education, social activities, etc.); and relapse, returning to previous problematic patterns of sexual behavior after a period of abstinence or control. BYSAS scores range from 0 to 24 with a higher score indicating a greater risk of sex addiction. BYSAS is a generic sex addiction screening tool, as it does not focus on particular demographic groups (e.g. male or female, gay or heterosexual) or a particular medium (e.g. online sex). The scale was translated from English into Italian in the present study following the protocol described by Beaton et al. (2000) and described briefly above. Example of items are “How often during the past year have you spent a lot of time thinking about sex/masturbation or planned sex?” and “How often during the past year have you tried to cut down on sex/masturbation without success?” Cronbach’s alpha in the present study was good (α = 0.787).
Ethics
The study was approved by the ethics committee of the Italian Group Cognitive Behavioral Psychotherapy Association. Informed consent was obtained from all participants and they all participated voluntarily.
Statistical Analysis
Before analyzing the data obtained from the sample, univariate normality of the data was verified using the guidelines proposed by Muthén and Kaplan (1985) (i.e., skewness and kurtosis in the − 1 to + 1 range). Descriptive statistics concerning the items (i.e., frequencies, percentages) were calculated. The statistical analyses carried out were as follows: (i) descriptive statistics of the BYSAS items (i.e., means and standard deviations of the main items); (ii) construct and criterion validity of the Italian BYSAS; (iii) the reliability of the scale, examined via composite reliability (CR) (values of CR greater than 0.7 are associated with strong reliability of the test; Fornell & Larcker, 1981). The evaluation of the factor structure and the dimensionality of the Italian BYSAS was assessed utilizing confirmatory factor analysis (CFA). Specific indices were also calculated to ascertain the unidimensionality of the test which met the following criteria (Ferrando & Lorenzo-Seva, 2013): UNIQUE (one-dimensional congruence > 0.95), ECV (explained common variance > 0.80), and MIREAL (average of absolute loads residues of the object < 0.30). The extraction of the factors for CFA was carried out with the Diagonal Weighted Least Squares estimation (DWLS) method.
With regard to the CFA, the indices recommended by Hair et al. (2019) were adopted as follows: NNFI (non-normed fit index ≥ 0.95), CFI (comparative fit index ≥ 0.95), GFI (goodness of fit index ≥ 0.95), AGFI (adjusted goodness of fit index ≥ 0.95), RMSEA (root mean square error of approximation ≤ 0.08), and RMSR (root mean square of residuals ≤ 0.8). The reliability of the data was assessed through the following indices: Cronbach’s alpha (α) (Cronbach, 1951), McDonald’s omega (ω) (McDonald, 1999), and composite reliability (CR). The replicability of the construct and the quality of the factorial solution found were evaluated with the use of the H-coefficient (Hancock & Mueller, 2001; Loevinger, 1948; Mokken, 1971) with a cutoff of 0.50. The analyses were carried out using FACTOR v.10.10.3 (Lorenzo-Seva & Ferrando, 2006), SPSS Statistics v.25 (IBM Corporation, 2011), Amos v.23 (Arbuckle, 2013a, b), JASP version 0.13.1 (JASP Team, 2020), Mann–Whitney U Test Calculator (2017), and the R package lavaan (Yves Rosseel, 2012).
Results
Sociodemographic Characteristics
Although the main sociodemographic characteristics (summarized in Table 1) of the sample were not balanced (26.7% males, 73.1% females, other 0.2%; mean age 24.9 years [SD ± 5.60]; education level: 65.5% university-level degree, 34.1% high school degree, and 0.3% lower secondary degree), the high number of participants ensured robust data analysis. Other characteristics in the sample included 67.3% students, 25.9% employed, and 6.7% unemployed; 58.5% were in a non-married relationship, 37.2% were single, 3.4% were married, 0.5% were divorced, 0.2% were separated, and 0.2% widower. As for sexual orientation, 82.1% were heterosexual, 9.6% were bisexual, 5.5% were homosexual, and 2.8% were for others.
During the lockdown due to COVID-19, 7.3% of participants greatly increased their sexual or masturbation activity, with an mean average of 2.32 (out of 5) (SD = 1.29) and 6.2% greatly increased their access activity to websites related to pornography, with a mean of 1.77 (out of 5) (SD = 1.29). In addition, 2.6% of the participants used alcohol or drugs very often, and 7.4% of the participants had experienced sexual abuse. The weekly hours spent by participants watching sexual content online were 1.77 h (SD = 2.70). In relation to the psychometric tests, the distribution of the mean scores was as follows: Italian BYSAS = 7.61 out of 24 (SD = 4.80), PATHOS = 1.05 out of 6 (SD = 1.15), Adult PROMIS Emotional Distress/Depression-Short Form = 19.84 out of 40 (SD = 9.33), Shorter PROMIS Questionnaire–Sex Subscale = 15.06 out of 50 (SD = 6.59), Rosenberg Self-Esteem Scale = 18.30 out of 30 (SD = 7.31) (see Table 2). The results of the other main questions asked to the participants are summarized in Tables 2 and 3.
Confirmatory Factor Analysis (CFA) of the Italian Bergen–Yale Sex Addiction
The present study analyzed the distribution of the six BYSAS items (Fig. 1). Most items (see Table 4) were distributed asymmetrically (i.e., a positive asymmetric distribution), with the highest frequencies in the lowest values. As for asymmetry and kurtosis, most of the items were distributed in a non-normal way (the items do not fall within the range of ± 1; see Muthén & Kaplan, 1985). To investigate and analyze the factorial structure, since there is no unequivocal consensus in the literature (see Bollen & Long, 1993; Boomsma, 2000), different goodness of fit (GOF) adaptation indices were used to confirm the dimensionality of the BYSAS. In this specific case, since the items (see Table 3) were distributed in a non-normal way, parallel analysis (PA)/Diagonal Weighted Least Squares estimation method (DWLS, bias-corrected and accelerated [Bca] with 95% confidence interval, 1000 random sample) was used for confirmatory factorial analysis (ten Berge & Kiers, 1991; Baglin, 2014; Mindrila, 2010; Krijnen, 1996).
Confirmatory Factor Analysis
Since there is no univocal academic consensus about the indicators to evaluate a model reliability (Bollen & Long, 1993; Boomsma, 2000; Hoyle & Panter, 1995), goodness of fit was evaluated using several indicators, as in the EFA. The results of the confirmatory analysis are as follows: χ2 = 14.99 (df = 8, n = 1230), p = 0.06 (i.e., not significant at p < 0.05: chi-square is very sensitive to the size of the sample, so several indices were used; Kline, 2016), TLI = 0.99, CFI = 1, RMSEA = 0.03, and SRMR = 0.03 (< 0.09; Hu & Bentler, 1999). Furthermore, all items were positively related to each other (min = 0.18, max = 0.81). Furthermore, most factor loadings were high on all items, with only item 6 loading under 0.5 value (min = 0.40, max = 0.89, i.e., λij ≥ 0.50; Ferguson & Cox, 1993). However, all items had a statistically significant factor loading (p < 0.01) and residual covariance between item 1 (preoccupation) and item 2 (tolerance), in a similar way to the original research (Andreassen et al., 2018).
These results demonstrate that the BFAS presented an excellent fit to the data (see Tables 5, 6, and 7 for details). In addition, to investigate the general stability, replicability, and cross-validation stability of the factor, the following indices were obtained: coefficient of fidelity (O-COF) = 0.808, fidelity index (FI) = 0.926 (for an O-COF or a FI, value equal or larger than 0.90 would suggest an acceptable measurement accuracy; Ferrando & Lorenzo-Seva, 2019).
After the CFA, different indexes of reliability (i.e., internal consistency) and validity (i.e., discriminant and convergent validity) were investigated. To analyze the reliability of the BYSAS and internal consistency, Cronbach’s alpha (see Table 8), factor determinacy index (FDI), McDonald’s omega, H-coefficient, and composite reliability were calculated (Raykov, 1997). Cronbach’s alpha in the present study was 0.787 and could not be improved by removing any items. The FDI was 0.929, EAP marginal reliability was 0.864, expected percentage of true differences (EPTD) was 90.9% (EPTDs above 90% and marginal reliabilities above 0.80 are recommended for a good model; Ferrando & Lorenzo-Seva, 2018), McDonald’s omega was 0.787 and Gutmann’s λ6 was 0.779 (λ6 > 0.70 is sufficient to be considered reliable [Gallardo-Vázquez & Folgado-Fernández, 2020], see Table 7 and Fig. 3 for details), H-coefficient was 0.508 (H > 0.5, is considered strong; Sijtsma & Molenaar, 2002), Generalized H Index (G-HI) was 0.864 (G-HI values > 0.80 suggest a well-defined latent variable; Hancock & Mueller, 2000), and the CR was 0.806 (for a narrowly defined construct with five to eight items to meet a minimum threshold of 0.80; Netemeyer et al., 2003).
Subsequently, the correlation matrix between BYSAS and the other divergent/concurrent constructs considered in the study were calculated in order to investigate if the observed correlation path confirmed the construct validity of the BYSAS. Direction and strength of the coefficients were assessed following Cohen’s (1988) interpretation (see Table 9) and were consistent with the theoretically predicted relationship.
The statistically significant positive correlations between the BYSAS and the SPQ-SS (intermediate), APEDD-SF (small), and PATHOS (intermediate) support the scale’s convergent validity. Conversely, the statistically significant negative correlation between the BYSAS and the RSES (small) supports the evidence of divergent validity (see Table 9). The Italian BYSAS (total score) correlated positively with loneliness (r = 0.292 p < 0.01), frequency of use of visiting internet sex sites (r = 0.395 p < 0.01), weekly masturbation frequency (r = 0.434 p < 0.01), weekly sexual intercourse frequency (r = 0.063 p < 0.05), number of sexual encounters in the past 6 months (r = 0.049, p < 0.05), frequency of masturbation viewing pornographic material on the internet (r = 0.363 p < 0.01), hours spent viewing images/videos on the Internet (r = 0.258 p < 0.01), depression (r = 0.258, p < 0.01), and gender (r = − 0.25 p < 0.01). BYSAS correlated negatively with age (r = − 0.055 p < 0.05), the quality of one’s sexual life referred to the last month (r = − 0.061 p < 0.05), the quality of sleep referred to the last week (r = − 0.178, p < 0.01), self-esteem (r = − 0.182, p < 0.01), agreeableness (r = − 0.098, p < 0.01), conscientiousness (r = − 0.265, p < 0.01), emotional stability (r = − 0.105, p < 0.01), and education (r = − 0.037, p < 0.05). There were no significant findings in relation to extraversion and openness to experience. Furthermore, a two-way ANOVA was conducted to investigate the relevance of two between-participant factors (gender and relationship status) on the BYSAS score and in particular the interaction effect of these independent variables, and the results of the model are presented in Table 10.
Initial results of the 2 × 2 ANOVA showed that the interaction effect between gender and relationship status on BYSAS was not statistically significant (F [1, 1223] = 0.213, p = 0.644). Therefore, an analysis of the main effects was performed, which indicated the main effects were statistically significant for both gender (F [1, 1223] = 71.190, p < 0.001, partial η2 = 0.055) and relationship status (F (1, 1223) = 6.355, p < 0.05, partial η2 = 0.005). All pairwise comparisons were run where reported 95% confidence intervals and p values are Bonferroni-adjusted (see Table 10 and Fig. 2). Males had significantly higher scores on the BYSAS than female (Z = − 7.735, p < 0.01).
Through a multiple linear regression, a model was built comprising the following independent variables: age, depression, gender, self-esteem, extroversion, agreeableness, conscientiousness, emotional stability, openness to experiences, education level, with the dependent variable of the BYSAS total score. The results showed R = 0.419, R2 = 0.175, F = 25.9 (df = 10), and p < 0.001. The model was significant and explained 17.5% of the variance of the BYSAS test total score (see Table 11 and Fig. 3).
Discussion
The present study investigated the psychometric properties of the Italian version of Bergen–Yale Sex Addiction Scale (BYSAS) (Appendix 1). The results indicated a stable unidimensional structure confirming the findings of the original validation study by Andreassen et al. (2018). The analysis of the Italian BYSAS reliability and validity coefficients showed sound and consistent psychometric properties of the scale. All the hypotheses were confirmed. As shown in previous research (e.g., Andreassen et al., 2018), sex addiction is often comorbid with depression and low self-esteem; therefore, the construct validity of the Italian BYSAS was strengthened by its positive and statistically significant correlations with the APEDD-SF (which assesses the severity of depression) and by its negative and statistically significant correlation with the RSES (which assesses self-esteem). Furthermore, the significant correlation between the BYSAS and the two other scales that assess sex addiction issues used in the present study (i.e., the PATHOS and PROMIS Sex Subscale) strongly supports not only its concurrent validity (which is determined by observing how much the instrument correlates with other valid instruments in assessing the same characteristic), but also its usefulness and efficacy as a short-form scale. The results of reliability and validity of the scale reflect what was found in other versions of the scale such as its Hebrew version (Paz et al., 2019).
The results of the correlation analysis also confirmed the association between sex addiction and co-occurring problematic behaviors related in the sexual sphere as well as a negative correlation between BYSAS score and age (i.e., the higher the age, the lower the sex addiction score). This result is in line with previous studies: “some types of excessive sex can be physically demanding and that sexual libido tends to decrease as individuals get older, it is perhaps unsurprising that sex addiction is associated with younger age” (Andreassen et al., 2018, p.10). Additionally, participants who were both single and male had higher scores on the BYSAS. This could reflect the fact that “the majority of individuals seeking professional help for addictive sex behavior are men and they also reflect that women to a lesser extent come forward due to potentially more social stigma and inner shame than men” (Andreassen et al., 2018 p.10). Furthermore, according to previous literature, single people are more motivated to satisfy their sexual desires, compared to those who are in a more stable relationship (Kafka, 2010, Campbell & Stein, 2015; Ballester-Arnal et al., 2013; Sun et al., 2014). Regarding personality aspects, BYSAS total score was positively correlated with extraversion, and openness to experience, and negatively associated with agreeableness, conscientiousness, and emotional stability. Some personality traits (e.g., low conscientiousness, neuroticism) have consistently been found as predictors of addiction (Shimoni et al., 2018).
Similarly, Andreassen et al. (2018) found that self-esteem was inversely related to the sex addiction items. Finally, in relation to the quality of sleep, the results were consistent with previous studies (e.g., Brunborg et al., 2011). More specifically, the total BYSAS score was negatively associated with the perceived quality of sleep. This is in line with previous studies that have shown that the presence of different forms of addiction (e.g., internet, addiction, social media addiction) are related to decreased sleep quality (Alimoradi et al., 2019).
The present study presents some limitations that need to be addressed. More specifically, the cross-sectional research design, in addition to the convenience sample and self-reported data, can result in biased results (e.g. content sensitive response bias such as social desirability). Indeed, although the survey was anonymous, participants may have been ashamed to report their problematic sexual behaviors (Andreassen et al., 2018). Regarding the non-random and voluntary sample, although relatively large scale, it cannot be considered representative of the entire population (and therefore generalizability of the findings is limited) and the sample included a higher proportion of females (probably due to advertisement on online groups related to the psychology faculty). It should also be noted that the PATHOS had a low Cronbach’s alpha but the SPQ-SS had good reliability and there were no reliability issues with the latter scale. As indicated by the original developers, the PATHOS is suitable for an initial screening. A further limitation of this study is the lack of measurement invariance by gender and age. This was not possible to do, given the imbalance of the sample in relation to these variables. Future research, with a more representative sample, should address the issue of measurement invariance.
Based on the psychometric analysis conducted in the present study, the BYSAS is a short, reliable, and valid scale to assess sex addiction when a brief screening is necessary. The analysis demonstrated that the BYSAS yielded strong psychometric properties in terms of factor structure and reliability. However, the application of the findings to the general population should be made with caution due to fundamental differences in men’s and women’s sexual activity (e.g., male use of pornography is much higher than females) (Bőthe, et al., 2019a, b). In the future, researchers should further investigate construct validity concerning clinical samples to understand if it is possible to establish the pathological screening efficacy of the scale, identifying for example optimal cutoff that could reliably distinguish between pathological and non-pathological cases. Finally, it should also be noted that the Italian BYSAS demonstrated excellent model fit and adequate reliability. This makes it a valuable tool for assessing the severity of sex addiction among Italian adults, especially in the context of epidemiological research.
References
Alimoradi, Z., Lin, C.-Y., Broström, A., Bülow, P. H., Bajalan, Z., Griffiths, M. D., Ohayon, M. M., & Pakpour, A. H. (2019). Internet addiction and sleep problems: A systematic review and meta-analysis. Sleep Medicine Reviews, 47, 51–61. https://doi.org/10.1016/j.smrv.2019.06.004
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). American Psychiatric Press.
Andreassen, C. S., Pallesen, S., Griffiths, M. D., Torsheim, T., & Sinha, R. (2018). The development and validation of the Bergen-Yale Sex Addiction Scale with a large national sample. Frontiers in Psychology, 9, 144. https://doi.org/10.3389/fpsyg.2018.00144
Arbuckle, J. L. (2013b). IBM SPSS Amos 22 user’s guide. IBM Corporation.
Arbuckle, J. L. (2013). Amos (Version 23.0) [Computer Program]. Chicago: SPSS.
Badii, A., Cyrine, M., Amjed Ben, H., Ahmad, M., Ferid, Z., & Lotfi, G. (2020). Sexual addiction, self-esteem and personality dimensions. Journal of Addiction Therapy and Research, 4(1), 6–12. https://doi.org/10.29328/journal.jatr.1001011.
Baglin, J. (2014). Improving your exploratory factor analysis for ordinal data: A demonstration using FACTOR. Practical Assessment, Research, and Evaluation, 19, 5. https://doi.org/10.7275/dsep-4220
Ballester-Arnal, R., Castro-Calvo, J., Gil-Llario, M. D., & Giménez-García, C. (2013). Relationship status as an influence on cybersex activity: Cybersex, youth, and steady partner. Journal of Sex & Marital Therapy, 40(5), 444–456. https://doi.org/10.1080/0092623X.2013.772549
Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014
Berge, J. M. F., & Kiers, H. A. L. (1991). A numerical approach to the approximate and the exact minimum rank of a covariance matrix. Psychometrika, 56(2), 309–315. https://doi.org/10.1007/bf02294464
Bollen, K. A., & Long, J. S. (1993). Introduction. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 1–9). Sage.
Boomsma, A. (2000). Reporting analyses of covariance structures. Structural Equation Modeling, 7(3), 461–483. https://doi.org/10.1207/S15328007SEM0703_6
Bőthe, B., Bartók, R., Tóth-Király, I., Reid, R. C., Griffiths, M. D., Demetrovics, Z., & Orosz, G. (2018). Hypersexuality, gender, and sexual orientation: A large-scale psychometric survey study. Archives of Sexual Behavior, 47, 2265–2276. https://doi.org/10.1007/s10508-018-1201-z
Bőthe, B., Koós, M., Tóth-Király, I., Orosz, G., & Demetrovics, Z. (2019a). Investigating the associations of adult ADHD symptoms, hypersexuality, and problematic pornography use among men and women on a largescale, non-clinical sample. Journal of Sexual Medicine, 16(4), 489–499. https://doi.org/10.1016/j.jsxm.2019.01.312
Bőthe, B., Tóth-Király, I., Potenza, M. N., Griffiths, M. D., Orosz, G., & Demetrovics, Z. (2019b). Revisiting the role of impulsivity and compulsivity in problematic sexual behaviors. Journal of Sex Research, 56(2), 166–179. https://doi.org/10.1080/00224499.2018.1480744
Brunborg, G. S., Mentzoni, R. A., Molde, H., Myrseth, H., Skouverøe, K. J., Bjorvatn, B., & Pallesen, S. (2011). The relationship between media use in the bedroom, sleep habits and symptoms of insomnia. Journal of Sleep Research, 20(4), 569–575. https://doi.org/10.1111/j.1365-2869.2011.00913.x
Campbell, M. M., & Stein, D. J. (2015). Hypersexual disorder. In N. Petry (Ed.), Behavioral addictions: DSM-5 and beyond (pp. 101–123). Oxford University Press.
Carnes, P. J. (1991). Don’t call it love: Recovery from sexual addiction. Bantam Books.
Carnes, P., Green, B., & Carnes, S. (2010). The same yet different: Refocusing the Sexual Addiction Screening Test (SAST) to reflect orientation and gender. Sexual Addiction & Compulsivity, 17(1), 7–30. https://doi.org/10.1080/10720161003604087
Carnes, P. J., Green, B. A., Merlo, L. J., Polles, A., Carnes, S., & Gold, M. S. (2012). PATHOS. Journal of Addiction Medicine, 6(1), 29–34. https://doi.org/10.1097/adm.0b013e3182251a28
Carnes, P. (1994). Contrary to love: Helping the sexual addict. Retrieved October 6, 2020, from: https://www.amazon.com/Contrary-Love-Helping-Sexual-Addict/dp/1568380593
Carnes, P., & O’Hara, S. (2000). Women’s Sexual Addiction Screening Test. Wickenburg, AZ: Unpublished measure.
Carnes, P., & Weiss, R. (2002). The Sexual Addiction Screening Test For Gay Men. Wickenburg, AZ: Unpublished measure.
Carvalho, J., Štulhofer, A., Vieira, A. L., & Jurin, T. (2015). Hypersexuality and high sexual desire: Exploring the structure of problematic sexuality. Journal of Sexual Medicine, 12(6), 1356–1367. https://doi.org/10.1111/jsm.12865
Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., … Hays, R. (2010). The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63(11), 1179–1194.https://doi.org/10.1016/j.jclinepi.2010.04.011
Chatzittofis, A., Arver, S., Öberg, K., Hallberg, J., Nordström, P., & Jokinen, J. (2016). HPA axis dysregulation in men with hypersexual disorder. Psychoneuroendocrinology, 63, 247–253. https://doi.org/10.1016/j.psyneuen.2015.10.002
Chen, L., Yang, Y., Su, W., Zheng, L., Ding, C., & Potenza, M. N. (2018). The relationship between sexual sensation seeking and problematic Internet pornography use: A moderated mediation model examining roles of online sexual activities and the third-person effect. Journal of Behavioral Addictions, 7(3), 565–573. https://doi.org/10.1556/2006.7.2018.77
Chiorri, C., Bracco, F., Piccinno, T., Modafferi, C., & Battini, V. (2015). Psychometric properties of a revised version of the Ten Item Personality Inventory. European Journal of Psychological Assessment, 31(2), 109–119. https://doi.org/10.1027/1015-5759/a000215
Christo, G., Jones, S. L., Haylett, S., Stephenson, G. M., Lefever, R. M., & Lefever, R. (2003). The Shorter PROMIS Questionnaire. Addictive Behaviors, 28(2), 225–248. https://doi.org/10.1016/s0306-4603(01)00231-3
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
Coleman, E. (1992). Is your patient suffering from compulsive sexual behavior? Psychiatric Annals, 22(6), 320–325. https://doi.org/10.3928/0048-5713-19920601-09
Cooper, A., Putnam, D. E., Planchon, L. A., & Boies, S. C. (1999). Online sexual compulsivity: Getting tangled in the net. Sexual Addiction & Compulsivity, 6(2), 79–104. https://doi.org/10.1080/10720169908400182
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/bf02310555
Delmonico, D. L., & Griffin, E. J. (2008). Cybersex and the e-teen: What marriage and family therapists should know. Journal of Marital and Family Therapy, 34(4), 431–444. https://doi.org/10.1111/j.1752-0606.2008.00086.x
Derbyshire, K. L., & Grant, J. E. (2015). Compulsive sexual behavior: A review of the literature. Journal of Behavioral Addictions, 4(2), 37–43. https://doi.org/10.1556/2006.4.2015.003
Dhuffar, M., & Griffiths, M. (2014). Understanding the role of shame and its consequences in female hypersexual behaviours: A pilot study. Journal of Behavioral Addictions, 3(4), 231–237. https://doi.org/10.1556/jba.3.2014.4.4
Doornwaard, S. M., van Den Eijnden, R. J., Baams, L., Vanwesenbeeck, I., & Ter Bogt, T. F. (2016). Lower psychological well-being and excessive sexual interest predict symptoms of compulsive use of sexually explicit internet material among adolescent boys. Journal of Youth and Adolescence, 45(1), 73–84. https://doi.org/10.1007/s10964-015-0326-9
Ferguson, E., & Cox, T. (1993). Exploratory factor analysis: A user’s guide. International Journal of Selection and Assessment, 1(2), 84–94. https://doi.org/10.1111/j.1468-2389.1993.tb00092.x
Ferrando, P. J., & Lorenzo-Seva, U. (2013). Unrestricted item factor analysis and some relations with item response theory. Technical Report. Department of Psychology, Universitat Rovira i Virgili, Tarragona. Retrieved from http://psico.fcep.urv.es/utilitats/factor
Ferrando, P. J., & Lorenzo-Seva, U. (2018). Assessing the quality and appropriateness of factor solutions and factor score estimates in exploratory item factor analysis. Educational and Psychological Measurement, 78, 762–780. https://doi.org/10.1177/0013164417719308
Ferrando, P. J., & Lorenzo-Seva, U. (2019). On the added value of multiple factor score estimates in essentially unidimensional models. Educational and Psychological Measurement, 79(2), 249–271. https://doi.org/10.1177/0013164418773851
Fong, T. W., Reid, R. C., & Parhami, I. (2012). Behavioral addictions: Where to draw the lines? Psychiatric Clinics of North America, 35(2), 279–296. https://doi.org/10.1016/j.psc.2012.03.001
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Fossati, A., Borroni, S., & Del Corno, F. (2015). Scale di valutazione adulti. American Psychiatric Association - Raffaello Cortina Editore. Retrieved June 21, 2020, from http://www.raffaellocortina.it/scheda-ebook/american-psychiatric-association/scale-di-valutazione-adulti-9788860307668-2150.html
Gallardo-Vázquez, D., & Folgado-Fernández, J. A. (2020). Regional economic sustainability: Universities’ role in their territories. Land, 9(4), 102. https://doi.org/10.3390/land9040102
Gosling, S. D., Rentfrow, P. J., & Swann, W. B. (2003). A very brief measure of the Big-Five personality domains. Journal of Research in Personality, 37(6), 504–528. https://doi.org/10.1016/s0092-6566(03)00046-1
Griffiths, M. D. (2005). A components model of addiction within a biopsychological framework. Journal of Substance Use, 10, 191–197. https://doi.org/10.1080/14659890500114359
Griffiths, M. D. (2012). Internet sex addiction: A review of empirical research. Addiction Research & Theory, 20(2), 111–124. https://doi.org/10.3109/16066359.2011.588351.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage.
Hancock, G. R., & Mueller, R. O. (2001). Rethinking construct reliability within latent variable systems. In R. Cudeck, S. du Toit, & D. Srbom (Eds.), Structural equation modeling: present and future—a festschrift in honor of Karl Joreskog (pp. 195–216). Lincolnwood, IL: Scientific Software International.
Hill, A., Briken, P., & Berner, W. (2007). Pornographie und sexuelle gewalt im internet [Pornography and sexual abuse on the internet]. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, 50(1), 90–102. https://doi.org/10.1007/s00103-007-0114-8
Hook, J. N., Hook, J. P., Davis, D. E., Worthington, E. L., Jr., & Penberthy, J. K. (2010). Measuring sexual addiction and compulsivity: A critical review of instruments. Journal of Sex & Marital Therapy, 36(3), 227–260. https://doi.org/10.1080/00926231003719673
Hoyle, R. H., & Panter, A. T. (1995). Writing about structural equation models. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 158–176). Sage.
Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
IBM Corp. (2011). IBM SPSS statistics for windows, Version 20.0. Armonk, NY: IBM Corp.
JASP Team (2020). JASP (Version 0.13.1) [Computer software]. Retrieved October 21, 2020, from: https://jasp-stats.org/.
Kafka, M. P. (2010). Hypersexual disorder: A proposed diagnosis for DSM-V. Archives of Sexual Behavior, 39(2), 377–400. https://doi.org/10.1007/s10508-009-9574-7
Kafka, M. P. (2014). What happened to hypersexual disorder? Archives of Sexual Behavior, 43(7), 1259–1261. https://doi.org/10.1007/s10508-014-0326-y
Kalichman, S. C., & Rompa, D. (1995). Sexual Sensation Seeking and Sexual Compulsivity Scales: Reliability, validity, and predicting HIV risk behavior. Journal of Personality Assessment., 65, 586–601. https://doi.org/10.1207/s15327752jpa6503_16
Karila, L., Wéry, A., Weinstein, A., Cottencin, O., Petit, A., Reynaud, M., & Billieux, J. (2014). Sexual addiction or hypersexual disorder: Different terms for the same problem? A review of the literature. Current Pharmaceutical Design, 20(25), 4012–4020. https://doi.org/10.2174/13816128113199990619
Kasper, T. E., Short, M. B., & Milam, A. C. (2015). Narcissism and Internet pornography use. Journal of Sex & Marital Therapy, 41(5), 481–486.
Klein, V., Rettenberger, M., & Briken, P. (2014). Self-reported indicators of hypersexuality and its correlates in a female online sample. Journal of Sexual Medicine, 11(8), 1974–1981. https://doi.org/10.1111/jsm.12602
Kline, R. B. (2016). Methodology in the social sciences. Principles and practice of structural equation modeling (4th ed.). Guilford press.
Kor, A., Zilcha-Mano, S., Fogel, Y. A., Mikulincer, M., Reid, R. C., & Potenza, M. N. (2014). Psychometric development of the problematic pornography use scale. Addictive Behaviors, 39(5), 861–868. https://doi.org/10.1016/j.addbeh.2014.01.027
Koronczai, B., Urbán, R., Kökönyei, G., Paksi, B., Papp, K., Kun, B., Arnold, P., Kállai, J., & Demetrovics, Z. (2011). Confirmation of the three-factor model of problematic internet use on off-line adolescent and adult samples. Cyberpsychology, Behavior, and Social Networking, 14(11), 657–664. https://doi.org/10.1089/cyber.2010.0345
Kraus, S. W., Voon, V., & Potenza, M. N. (2016a). Should compulsive sexual behavior be considered an addiction? Addiction, 111(12), 2097–2106. https://doi.org/10.1111/add.13297
Kraus, S. W., Martino, S., & Potenza, M. N. (2016b). Clinical characteristics of men interested in seeking treatment for use of pornography. Journal of Behavioral Addictions, 5(2), 169–178. https://doi.org/10.1556/2006.5.2016.036
Kraus S. W., Krueger R. B., Briken P., First M. B., Stein D. J., … & Reed G. M. (2018). Compulsive sexual behaviour disorder in the ICD-11. World Psychiatry, 17(1), 109–110.https://doi.org/10.1002/wps.20499
Krijnen, W. P. (1996). Algorithms for unweighted least-squares factor analysis. Computational Statistics & Data Analysis, 21(2), 133–147. https://doi.org/10.1016/0167-9473(95)00011-9
Kuder, G. F., & Richardson, M. W. (1937). The theory of the estimation of test reliability. Psychometrika, 2(3), 151–160. https://doi.org/10.1007/BF02288391
Kuss, D. J., Griffiths, M. D., Karila, L., & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20(25), 4026–4052. https://doi.org/10.2174/13816128113199990617
Laier, C., Pawlikowski, M., Pekal, J., Schulte, F. P., & Brand, M. (2013). Cybersex addiction: Experienced sexual arousal when watching pornography and not real-life sexual contacts makes the difference. Journal of Behavioral Addictions, 2(2), 100–107. https://doi.org/10.1556/JBA.2.2013.002
Lefever, R. (1988). How to identify addictive behaviour. PROMIS Publishing.
Lewczuk, K., Szmyd, J., Skorko, M., & Gola, M. (2017). Treatment seeking for problematic pornography use among women. Journal of Behavioral Addictions, 6(4), 445–456.
Loevinger, J. (1948). The technique of homogeneous tests compared with some aspects of ‘scale analysis’ and factor analysis. Psychological Bulletin, 45, 507–530. https://doi.org/10.1037/h0055827
Lorenzo-Seva, U., & Ferrando, P. J. (2006). FACTOR: A computer program to fit the exploratory factor analysis model. Behavior Research Methods, 38, 88–91. https://doi.org/10.3758/BF03192753
Mann Whitney U Test Calculator. Statistics Kingdom 2017. Retrieved May 9, 202i, from: http://www.statskingdom.com/170median_mann_whitney.html
McDonald, R. P. (1999). Test theory: A unified treatment. Erlbaum.
McLeod, D. V., & Day, T. (2014). Sexually transmitted infection and the evolution of serial monogamy Proceedings. Biological Sciences, 281(1796), 20141726. https://doi.org/10.1098/rspb.2014.1726
Mindrila, D. (2010). Maximum likelihood (ML) and diagonally weighted least squares (DWLS) estimation procedures: A comparison of estimation bias with ordinal and multivariate non-normal data. International Journal of Digital Society, 1, 60–66. https://doi.org/10.20533/ijds.2040.2570.2010.0010
Miner, M. H., Dickenson, J., & Coleman, E. (2019). Effects of Emotions on Sexual Behavior in Men with and without Hypersexuality. Sexual Addiction & Compulsivity, 26(1–2), 24–41. https://doi.org/10.1080/10720162.2018.1564408
Mokken, R. J. (1971). A theory and procedure of scale analysis. De Gruyter.
Muthén, B., & Kaplan, D. (1985). A comparison of some methodologies for the factor analysis of non-normal Likert variables. British Journal of Mathematical and Statistical Psychology, 38(2), 171–189. https://doi.org/10.1111/j.2044-8317.1985.tb00832.x
Netemeyer, R. G., Bearden, W. O., & Sharma, S. (2003). Scaling procedures. Sage Publications Inc.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Pallanti, S., Bernardi, S., & Quercioli, L. (2006). The Shorter PROMIS Questionnaire and the Internet Addiction Scale in the assessment of multiple addictions in a high-school population: Prevalence and related disability. CNS Spectrums, 11(12), 966–974. https://doi.org/10.1017/s1092852900015157
Pawlikowski, M., Altstötter-Gleich, C., & Brand, M. (2013). Validation and psychometric properties of a short version of Young’s Internet Addiction Test. Computers in Human Behavior, 29(3), 1212–1223. https://doi.org/10.1016/j.chb.2012.10.014
Paz, G., Griffiths, M. D., Demetrovics, Z., & Szabo, A. (2019). Role of personality characteristics and sexual orientation in the risk for sexual addiction among Israeli men: Validation of a Hebrew Sex Addiction Scale. International Journal of Mental Health and Addiction. Advance online publication. doi:https://doi.org/10.1007/s11469-019-00109-x
Pinto, J., Carvalho, J., & Nobre, P. J. (2013). The relationship between the FFM personality traits, state psychopathology, and sexual compulsivity in a sample of male college students. Journal of Sexual Medicine, 10(7), 1773–1782. https://doi.org/10.1111/jsm.12185
Potenza, M. N., Gola, M., Voon, V., Kor, A., & Kraus, S. W. (2017). Is excessive sexual behaviour an addictive disorder? Lancet Psychiatry, 4(9), 663–664. https://doi.org/10.1016/S2215-0366(17)30316-4
Prezza, M., Trombaccia, F. R., & Armento, L. (1997). La scala dell’autostima di Rosenberg. Traduzione e validazione italiana [Rosenberg Self-Esteem Scale. Italian translation and validation]. Bollettino Di Psicologia Applicata, 223, 35–44.
Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173–184. https://doi.org/10.1177/01466216970212006
Reid, R. C., Stein, J. A., & Carpenter, B. N. (2011). Understanding the roles of shame and neuroticism in a patient sample of hypersexual men. Journal of Nervous and Mental Disease, 199(4), 263–267. https://doi.org/10.1097/nmd.0b013e3182125b96
Rettenberger, M., Klein, V., & Briken, P. (2016). The relationship between hypersexual behavior, sexual excitation, sexual inhibition, and personality traits. Archives of Sexual Behavior, 45(1), 219–233. https://doi.org/10.1007/s10508-014-0399-7
Rosenberg, M. (1965). Society and the adolescent self-image. Princeton University Press. https://doi.org/10.1515/9781400876136
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling and more. Version 0.5–12 (BETA). Journal of Statistical Software, 48(2), 1–36. doi:https://doi.org/10.18637/jss.v048.i02
Schaefer, G. A., & Ahlers C. J. (2017). 1.3, Sexual addiction: Terminology, definitions and conceptualisation. In Birchard T, Benfield J (eds.). Routledge International Handbook of Sexual Addiction. London: Routledge.
Schmitt, D. P. (2004). The Big Five related to risky sexual behaviour across 10 world regions: Differential personality associations of sexual promiscuity and relationship infidelity. European Journal of Personality, 18(4), 301–319. https://doi.org/10.1002/per.520
Shimoni, L., Dayan, M., Cohen, K., & Weinstein, A. (2018). The contribution of personality factors and gender to ratings of sex addiction among men and women who use the internet for sex purpose. Journal of Behavioral Addictions, 7(4), 1015–1021. https://doi.org/10.1556/2006.7.2018.101
Sijtsma, K., & Molenaar, I. W. (2002). Introduction to nonparametric item response theory. Sage.
Staff, H. (2007). Depression and sex addiction: Steps for determining severity of depression. Healthy Place, March 8. Retrieved May 8, 2021, from: https://www.healthyplace.com/sex/sex-and-depression/depression-and-sex-addiction-the-moment-between-the-trapezes.
Sun, C., Bridges, A., Johnson, J., & Ezzell, M. (2014). Pornography and the male sexual script: An analysis of consumption and sexual relations. Archives of Sexual Behavior, 45, 983–994. https://doi.org/10.1007/s10508-014-0391-2
Sussman, S., Lisha, N., & Griffiths, M. (2011). Prevalence of the addictions: A problem of the majority or the minority? Evaluation & the Health Professions, 34(1), 3–56. https://doi.org/10.1177/0163278710380124
Walters, G. D., Marcus, D. K., Edens, J. F., Knight, R. A., & Sanford, G. M. (2011). In search of the psychopathic sexuality taxon: Indicator size does matter. Behavioral Sciences & the Law, 29(1), 23–39. https://doi.org/10.1002/bsl.964
Walton, M. T., Cantor, J. M., & Lykins, A. D. (2017). An online assessment of personality, psychological, and sexuality trait variables associated with self-reported hypersexual behavior. Archives of Sexual Behavior, 46(3), 721–733. https://doi.org/10.1007/s10508-015-0606-1
Wéry, A., & Billieux, J. (2016). Online sexual activities: An exploratory study of problematic and non-problematic usage patterns in a sample of men. Computers in Human Behavior, 56, 257–266.
Wéry, A., & Billieux, J. (2017). Problematic cybersex: Conceptualization, assessment, and treatment. Addictive Behaviors, 64, 238–246. https://doi.org/10.1016/j.addbeh.2015.11.007
Wéry, A., Burnay, J., Karila, L., & Billieux, J. (2016). The Short French Internet Addiction Test adapted to online sexual activities: Validation and links with online sexual preferences and addiction symptoms. Journal of Sex Research, 53(6), 701–710.
Womack, S. D., Hook, J. N., Ramos, M., Davis, D. E., & Penberthy, J. K. (2013). Measuring hypersexual behavior. Sexual Addiction & Compulsivity, 20(1–2), 65–78.
World Health Organization (2018). International classification of diseases for mortality and morbidity statistics (11th Revision). Retrieved May 9, 2021, from: https://icd.who.int/browse11/l-m/en
Young, K. S. (1998). Caught in the net: How to recognize the signs of internet addiction – and a winning strategy for recovery. John Wiley & Sons.
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Appendix
Appendix
Appendix 1 Italian Version of Bergen–Yale Sex Addiction Scale
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1.
Ti è capitato di trascorrere molto tempo pensando al sesso/masturbazione o a pianificare i tuoi incontri sessuali?
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2.
Ti è capitato di provare un forte desiderio di masturbarti/fare sesso sempre di più?
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3.
Ti è capitato di usare il sesso/masturbazione per dimenticare/fuggire dai tuoi problemi personali?
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4.
Hai provato a ridurre il tempo trascorso a masturbarti/fare sesso senza riuscirci?
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5.
Ti è capitato di diventare triste/irrequieto/ansioso/arrabbiato o agitato quando ti è stato proibito di fare sesso o masturbarti?
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6.
Ti è capitato di avere un'attività sessuale intensa che ha messo a rischio o a compromesso le tue relazioni sentimentali, il tuo lavoro, i tuoi risparmi, la tua salute, o i tuoi studi?
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Soraci, P., Melchiori, F.M., Del Fante, E. et al. Validation and Psychometric Evaluation of the Italian Version of the Bergen–Yale Sex Addiction Scale. Int J Ment Health Addiction 21, 1636–1662 (2023). https://doi.org/10.1007/s11469-021-00597-w
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DOI: https://doi.org/10.1007/s11469-021-00597-w