Internet habit and web gaming dysfunction ranges as predictors of alexithymia traits amongst college college students

This web page was created programmatically, to learn the article in its unique location you may go to the hyperlink bellow:
https://pmc.ncbi.nlm.nih.gov/articles/PMC13087062/
and if you wish to take away this text from our web site please contact us


Abstract

Background

Globally, there have been rising considerations over web habit (IA) and web gaming dysfunction (IGD) amongst younger adults. Concurrently, alexithymia, a character assemble characterised by issue in recognizing, understanding, and expressing feelings, has been related to a spread of addictive issues.

Objectives

The research goals to determine the seemingly incidence of alexithymia, IA, and IGD, and discover correlations between them amongst college students in a medical and well being sciences college within the United Arab Emirates.

Methods

In this cross-sectional research; the 20-item Toronto alexithymia scale (TAS-20), the 9-item web dysfunction scale quick type (IDS9-SF), and the 9-item web gaming dysfunction scale quick type (IGDS9-SF) have been used to evaluate 403 college students aged 16–25 upon acquiring knowledgeable consent.

Results

The doable occurrences of alexithymia, IA, and IGD have been 29.528%, 5.21%, and three.225% respectively, and 0.744% of the individuals have been more likely to have all three concurrently. We discovered a mutually constructive correlation between the scores obtained within the three scales. Subsequent a number of linear regression evaluation revealed that IA and IGD have been constructive predictors of alexithymia severity.

Conclusion

We recognized a big incidence of alexithymia, IA, and IGD within the pattern, with IA and IGD being sturdy predictors of alexithymia. Identifying the incidence and correlation of such circumstances could help in enabling early interventions, and supply a groundwork for future research investigating preventive and novel therapeutic approaches.

Keywords: Alexithymia, Internet habit, Internet gaming dysfunction, Cross-sectional research, Addictive behaviour, Mental well being

Introduction

The time period alexithymia refers to a set of cognitive traits characterised by challenges in understanding, figuring out, and expressing feelings. First launched by Sifneos in 1972, the time period described people with psychological circumstances who struggled to articulate their feelings, typically resulting in signs that have been unresponsive to psychotherapy [1]. Alexithymia is at the moment acknowledged as a character assemble with no definitive etiology or established remedy. While a number of theoretical fashions have been proposed to elucidate alexithymia, we utilized the Toronto alexithymia scale (TAS-20), which assesses three dimensions of alexithymia: issue describing emotions (DDF), issue figuring out emotions (DIF), and externally-oriented pondering (EOT) fashion [2].

Alexithymia impacts roughly 5–17% of the overall inhabitants [35], with greater charges noticed in Arab populations (20.8–37.9%) [6, 7]. Among college college students, prevalence could attain as much as 43.8% [8]. This pertains to the findings of a giant multicenter research on Arabic-speaking universities, the place alexithymia scores have been notably greater in college college students from Arab-speaking international locations than Canadian college college students, signifying its cultural significance in Arab populations [9]. It is especially prevalent amongst people with psychiatric circumstances, together with panic issues (27–34%) [10, 11], addictive issues (50–62%) [1214], melancholy (50–76.45%) [15, 16], consuming issues (12.3–76.45%) [17, 18], and autism spectrum dysfunction (32.7–55%) [1921]. Additionally, it is usually prevalent in people with persistent medical circumstances, similar to diabetes mellitus [22], hypertension [23], autoimmune issues [24], and purposeful digestive issues [25]. Furthermore, alexithymia has additionally been noticed in people experiencing persistent stress [26, 27]. This is related in college settings, the place college students expertise quantities of educational strain. This might seemingly end result within the emergence of alexithymia as a means of coping in response to frequent alterations in emotional states [28].

Parallel to the rising curiosity in alexithymia is the rising concern over extreme web utilization, a behaviour characterised by lengthy intervals of time spent on non-work-related know-how [29]. The newest statistics present that 10.14 million individuals residing within the United Arab Emirates (U.A.E) are web customers, representing 99% of the inhabitants [30]. Moreover, the prevalence of extreme web use in GCC international locations has been proven to vary from 6% to 49.5%, making this area an space of curiosity for learning extreme web utilization [3135]. To help analysis in Arabic-speaking populations, efforts have been made to adapt evaluation instruments, such because the compulsive web use scale (CIUS), which has been formally validated in Arabic [36]. The giant prevalence of web customers has amassed dialogue on whether or not the assemble of extreme web use or web habit (IA) displays a normal overuse versus particular side of web tradition (e.g., gaming, buying) [37]. Regardless, IA has not been acknowledged by the Diagnostic and Statistical Manual of Mental Disorders, fifth version (DSM-5) or the International Classification of Diseases, eleventh version (ICD-11) as an official analysis. There is a rising public well being concern with reference to extreme web use, with research exhibiting a constructive correlation of IA with social nervousness dysfunction [38], melancholy [39, 40] and nervousness [3941], all psychiatric issues recognized to trigger dysfunction in social functioning and productiveness. Hence, there’s a want for community-based psychological well being ways to counter the results on extreme web use.

Similarly, web gaming has gained recognition primarily attributable to its immersive and compulsive nature, ensuing within the emergence of web gaming dysfunction (IGD). Individuals change into more and more concerned in gaming, resulting in impairment in a number of features of their life, just like substance use issues; described by the American Psychiatric Association (APA) because the formation of psychological behavioral signs, such because the expertise of withdrawal signs alongside the shortcoming to keep up management and resistance in instances of gaming, because of the extreme involvement in on-line gaming [42, 43]. IGD was included within the DSM-5 underneath circumstances warranting additional research [44], and this standing stays unchanged within the DSM-5 textual content revision (DSM-5-TR) [45]. On the opposite hand, gaming dysfunction (GD)—which includes each on-line and offline gaming, has been adopted by the World Health Organization (WHO) within the ICD-11 [46]. Interestingly, IGD and IA have proven to be two separate constructs, with IGD acknowledged as a sub-type of GD, not as a sort or subtype of IA [47, 48]. Alongside alexithymia and IA, IGD has proven to correlate positively with melancholy [4951], stress [50], insomnia [49], generalized nervousness [50], and social nervousness [52].

With excessive international prevalence charges of IA and IGD [53, 54], notably in youthful adults [55, 56], it has change into vital to look at their hyperlink with alexithymia. This notion is particularly necessary as research have instructed that folks with alexithymia could possibly be extra prone to creating addictive behaviors usually, together with substance use, as a way of escaping their emotional difficulties [5759]. Hence, the college surroundings delivers an optimum surroundings for inspecting these relationships, as college students handle excessive educational stress alongside the rising dependence on digital gadgets. In addition, to our data, research exploring alexithymia and its correlates within the U.A.E are missing.

In acknowledgment of the worldwide enhance in psychological sickness illness burden, psychological well being was included within the United Nations (UN) Sustainable Development Goals (SDGs) [60]. Therefore, figuring out their occurrences and at-risk populations could also be helpful in selling the psychological well being of the group. Our research seeks to evaluate the seemingly incidence and correlations between alexithymia, IA, and IGD amongst college students at a medical and well being sciences college within the UAE. By constructing on current analysis, we purpose to seek out potential associations that might information interventions to facilitate psychological well-being in a time of extreme digital use.

Materials and strategies

A cross-sectional research was performed amongst college students aged 16–25 in a medical and well being sciences college in U.A.E, 2023. We employed a comfort sampling methodology. The research is authorised by the college’s analysis ethics committee.

Participants and process

Data was collected from January until April, 2023 utilizing printed questionnaires. The questionnaire comprised three validated scales: the 20-item Toronto alexithymia scale (TAS-20), the 9-item web dysfunction scale quick type (IDS9-SF), and the 9-item web gaming dysfunction scale quick type (IGDS9-SF). With a 5% margin of error; a confidence stage of 99% and a inhabitants measurement of 1000, and assuming a 50% response price, we calculated a minimal beneficial pattern of 400 college students [61]. Expecting 10% incomplete responses, we calculated the required pattern measurement as 440.

To guarantee greater attain and response charges, we approached each class within the college, and particularly, we used printed surveys for knowledge assortment. Unlike most on-line surveys, printed surveys don’t require the individuals’ e-mail addresses. We consider this may present the individuals a way of anonymity, additional enabling them to specific themselves genuinely. We additionally thought of how on-line survey hyperlinks can go unnoticed, if one is accustomed to receiving a number of emails or messages in a day. Furthermore, a meta-analysis confirmed that regardless of the effectiveness of on-line surveys, they didn’t essentially generate greater response charges when focusing on bigger pattern sizes [62]. Lastly, the questionnaires we opted for the research are initially of a tough copy format.

The inclusion standards have been: 1—college students enrolled within the college; and a pair of—in a position to perceive written and spoken English. Having a self-reported analysis of psychiatric circumstances was chosen because the exclusion criterion.

Students have been recruited based mostly on the eligibility standards; an knowledgeable consent was obtained from those that volunteered to take part. Consenting to the research required that individuals fill the IDS9-SF and TAS-20 mandatorily, whereas IGDS9-SF was non-obligatory and to be crammed solely by these indulged in on-line gaming actions. Additionally, the individuals’ age and gender have been obtained.

Instruments

The 20-item Toronto alexithymia scale (TAS-20)

The most continuously used software for the quantification of alexithymia is the TAS-20 questionnaire, developed and validated by Bagby et al. [63]. The 20 questions are accomplished utilizing a 5-point Likert scale, with the values starting from 1 to five, reflecting the degrees of settlement: 1—“Strongly disagree”; 2—“Moderately disagree”; 3—“Neither disagree nor agree”; 4—“moderately agree”; and 5—“Strongly agree”. Items 4, 5, 10, 18, and 19 should be reversed scored as they’re negatively phrased. Following, all 20 objects are totaled to generate the entire alexithymia rating, which ranges from 20 to 100. Though alexithymia is a dimensional assemble, the next empirically derived cut-off scores could also be used: ≥ 61 = excessive alexithymia (“alexithymia”) whereas ≤ 51 = low alexithymia (“non-alexithymia”).

The TAS-20 constitutes 3 subscales to signify the three issue construction: 1-Difficulty Describing Feelings (DDF) subscale which includes 5 objects: 2, 4, 11, 12, 17; 2-the Difficulty Identifying Feeling (DIF) subscale which includes 7 objects: 1, 3, 6, 7, 9, 13, 14; and 3-the Externally-Oriented Thinking (EOT) subscale which includes 8 objects: 5, 8, 10, 15, 16, 18, 19, 20. Subscale scores are decided by calculating the responses throughout the particular person subscale. We used the TAS-20 English model for this research, with none extra modifications. Several research have reported that the TAS-20 exemplifies adequate-to-excellent inside reliability. During the preliminary validation research, the Cronbach’s alpha values for complete scores have been 0.80 and 0.83, for scholar and psychiatric affected person samples respectively. The scale has additionally demonstrated good-to-excellent retest reliability and relative stability throughout numerous samples through the years. In addition, accumulating proof helps its assemble validity by exhibiting sturdy convergent and divergent validity between the entire alexithymia rating and its subscales [6365]. The Cronbach’s α for the TAS-20 was 0.782 within the present research (N = 403), indicating an acceptable-to-good inside consistency of this 20-item scale.

The 9-item web dysfunction scale quick type (IDS9-SF)

The unidirectional and validated questionnaire IDS9-SF, developed by Pontes, H. M. and Griffiths, M.D [66], is used to estimate the severity of IA. It includes 9 objects which have been derived from the diagnostic standards within the DSM-5 for IGD. The 9 questions have been accomplished utilizing a 5-point Likert scale, with scores of 1–5 reflecting the degrees of engagement: 1—“Never”; 2—“Rarely”; 3—“Sometimes”; 4—“Often”; and 5—“Very often”. The complete scores can vary from 9 to 45, with greater scores relaying an elevated diploma of problematic web utilization. The IDS9-SF has demonstrated a excessive Cronbach’s reliability coefficient (α = 0.93). To assist determine likely-disordered from non-disordered people, it is suggested to find out whether or not “Very often” was answered to a minimum of 5 out of the 9 objects. However, its authors have discouraged its utilization to diagnose people with IA in isolation [66]. This strategy has been adopted in our research to determine the incidence of doable IA amongst our individuals. We utilized the English model of the IDS9-SF for this research, with no extra modifications. The Cronbach’s α was 0.836 for our pattern (N = 403), indicating a very good inside consistency of this 9-item scale.

The 9-item web gaming dysfunction scale quick type (IGDS9-SF)

Developed and validated by Pontes, H. M. and Griffiths, M.D [67], IGDS9-SF is a concise psychometric software used to evaluate the diploma of IGD. It encompasses all of the 9 standards of IGD which have been proposed by the APA within the DSM-5. The 9 questions are answered utilizing a 5-point Likert scale: 1—“Never”; 2—“Rarely”; 3—“Sometimes”; 4—“Often”; and 5—“Very often”. The complete scores can vary from 9 to 45, with greater scores signifying greater diploma of IGD. The software has demonstrated a excessive Cronbach’s alpha for inside consistency (α = 0.87). To assist determine likely-disordered avid gamers, it’s obligatory to find out whether or not “Very often” was answered to a minimum of 5 out of the 9 objects [44, 67]. This strategy has been adopted in our research to determine the incidence of doable IGD amongst our individuals. For this research, we used the English model of the IGDS9-SF, with no extra modifications. The Cronbach’s α was 0.920 for our pattern (N = 303), indicating a wonderful inside consistency of this 9-item scale.

Statistical evaluation

Descriptive statistics was utilized to the information collected to determine the doable incidence of IA, IGD, and alexithymia among the many individuals. The imply and customary deviation of the scores obtained by the women and men in every of the scales was calculated. A 2-tailed take a look at was performed to seek out the correlation, if any, between the scores obtained within the 3 scales. Finally, a number of linear regression was carried out utilizing IBM SPSS v27 to judge for affiliation between the entire TAS-20 complete rating (dependent variable) and the unbiased variables (IDS9-SF complete rating, IGDS9-SF complete rating, age, and gender).

Results

A complete of 454 college students consented to take part. After reviewing, incomplete entries have been faraway from the evaluation and 403 individuals constituted the ultimate pattern; 126 males and 277 females. All individuals (N = 403) crammed the IDS9-SF and TAS-20 scales, out of which, these indulged in on-line gaming actions (N = 303) opted to fill the IGDS9-SF scale moreover (Table 1). This included 115 males and 188 females.

Table 1.

Descriptive statistics of scores of the research inhabitants with respect to IDS9-SF, IGDS9-SF, and TAS-20

N Range Minimum Maximum Mean SD
Age 403 9 16 25 19.82 1.692
IDS9-SF complete 403 36 9 45 23.59 7.203
IGDS9-SF complete 303 36 9 45 19.82 8.965
TAS-20 complete 403 52 27 79 54.76 10.426
TAS-20 DDF subscale 403 20 5 25 14.85 4.070
TAS-20 DIF subscale 403 28 7 35 18.89 6.036
TAS-20 EOT subscale 403 20 11 31 21.02 3.695

The seemingly incidence of IA was 5.21%, the place males (N = 126) obtained a imply rating of twenty-two.43, whereas females (N = 277) obtained a imply rating of 24.12. In addition, we discovered that 3.225% of the individuals have been more likely to have IGD; the males (N = 115) obtained the next imply rating of 21.70, whereas the females (N = 188) obtained a imply rating of 18.66. Moreover, 1.985% of the individuals probably had each IA and IGD.

The seemingly incidence of alexithymia in our pattern was 29.528%, whereas 37.965% of the individuals obtained scores suggesting ‘non-alexithymia’. Intermediate scores have been obtained by 32.506%. A imply rating of 54.17 was obtained by the males (N = 126), and the females (N = 277) obtained a imply rating of 55.03. No vital variations have been famous between their scores on the TAS-20. However, it is very important notice that the pattern constituted extra females than males.

The doable incidence of each alexithymia and IA collectively, was 1.985% among the many individuals i.e., 6.722% of the individuals with alexithymia have been more likely to have IA. In addition, 1.24% of the individuals have been more likely to have each alexithymia and IGD, denoting a 4.2% doable incidence of IGD amongst people with alexithymia. Notably, the incidence of people who have been more likely to have alexithymia, IA, and IGD concurrently was 0.744%.

We discovered a mutually constructive correlation between the IDS9-SF, IGDS9-SF, and TAS-20 scores of the individuals (Table 2). Their IDS9-SF and IGDS9-SF scores had a constructive affiliation with the scores obtained in every of the TAS-20 subscales—DDF, DIF, and EOT (Table 2). Furthermore, there was a big correlation between the TAS-20 DDF and DIF subscales (p < 0.001) and between DIF and EOT subscales (p = 0.002).

Table 2.

Correlations amongst scores obtained in IDS9-SF, IGDS9-SF, TAS-20, and TAS-20 subscales

IDS9-SF complete IGDS9-SF complete TAS-20 complete TAS-20 DDF subscale TAS-20 DIF subscale TAS-20 EOT subscale
IDS9-SF complete Pearson Correlation 1 0.503** 0.432** 0.326** 0.448** 0.128**
Sig. (2-tailed) NA < 0.001 < 0.001 < 0.001 < 0.001 0.010
N 403 303 403 403 403 403
IGDS9-SF complete Pearson Correlation 0.503** 1 0.337** 0.151** 0.274** 0.313**
Sig. (2-tailed) < 0.001 NA < 0.001 0.009 < 0.001 < 0.001
N 303 303 303 303 303 303

Multiple linear regression evaluation revealed that IA and IGD have been constructive predictors of alexithymia severity (p < 0.001) i.e., the scores obtained on IDS9-SF and IGDS9-SF might predict the scores obtained by the individuals within the TAS-20 (Fig. 1). The standardized β-coefficient for IDS9-SF complete was 0.275, whereas the standardized β-coefficient for IGDS9-SF complete was 0.225. Gender confirmed a bent for significance. Participants that scored greater in IDS9-SF and/or IGDS9-SF, obtained greater web TAS-20 scores.

Fig. 1.

Fig. 1

Scatterplot depicting the connection between TAS-20 complete scores and the standardized predicted values from the regression mannequin. TAS-20, 20-item Toronto alexithymia scale

The regression mannequin

TAS-20 complete = 48.12 + (− 0.49)*age + (2.13)*gender + (0.38)*IDS9-SF complete + (0.25)*IGDS9-SF complete

Overall regression was statistically vital (R2 = 0.20; F (4, 298) = 18.86; p < 0.001), with unbiased variables (predictors) as IDS9-SF complete rating, IGDS9-SF complete rating, age, and gender, for dependent variable TAS-20 complete rating (Fig. 1). Further, though IDS9-SF and IGDS9-SF have been reasonably correlated (r = 0.50), all Variance Inflation Factor (VIF) values within the regression mannequin have been under 2, indicating that multicollinearity was not a priority.

Discussion

In this research, we assessed the doable incidence of IA, IGD, and alexithymia amongst college students in a medical and well being sciences college. We additionally analyzed for any correlation between the scores obtained by the individuals within the 3 scales-IDS9-SF, IGDS9-SF, and TAS-20.

The seemingly incidence of IA was 5.21% among the many individuals. In distinction, a cross-sectional research performed amongst medical college students in a college in Istanbul, Turkey confirmed a a lot greater IA prevalence of 16.1% [68]. Our outcomes mirror the findings of a meta-analysis that reported a worldwide IA prevalence of 6% [69]. Similarly, one other meta-analysis demonstrated a pooled prevalence of seven.02% for IA [70]. However, the pooled prevalence of IA was greater amongst Chinese and Iranian college college students—8.4% [71] and 31.51% [72] respectively.

Occurrence and severity of IA might be related to a number of elements together with, the socio-economic standing of a person, time spent on social media or web gaming, internet-use for instructional actions, and sleep period. Notably, there was a rise within the prevalence of IA amongst college college students because the COVID-19 pandemic [73, 74].

The seemingly incidence of IGD in our pattern was 3.225%. A barely greater price was present in a meta–evaluation that confirmed a pooled prevalence of 6.2% for IGD amongst medical college students throughout numerous international locations [75]. Another meta-analysis confirmed a ten.9% prevalence of IGD amongst younger adults. Its incidence might be attributed to danger elements similar to nervousness, melancholy, or stress, low self-control or impulsivity, elevated gaming period, younger age at the beginning of web gaming, household dysfunction, poor educational efficiency, bullying, interpersonal issues, and low vanity amongst a number of others [56, 76].

The IGD charges amongst normal populations within the Republic of Korea, China, and the USA diversified between 0.21 and 57.50% [77], whereas a scientific evaluation reported prevalence charges spanning from 0.7 to 27.5% [78]. To additional justify our findings, patterns of elevated web use or on-line gaming compel us to acknowledge the excessive international prevalence of social nervousness, particularly among the many youth inhabitants [79]. Individuals with social nervousness could make the most of numerous web mediums to keep away from face-to-face interactions, as defined by the social compensation speculation [80].

Scores suggesting alexithymia have been obtained by 29.528% of our individuals; that is virtually corresponding to the findings of a cross-sectional research that reported an alexithymia prevalence of 26.9% amongst medical college college students [81]. A larger prevalence of 49% [82] and a a lot decrease price of 12.5% amongst college college students [83] have been famous in related research. While its etiology stays controversial, alexithymia can be pretty prevalent within the normal inhabitants making it an important space of analysis [84].

We discovered a mutually constructive correlation between the IDS9-SF, IGDS9-SF, and TAS-20 scores of the individuals. Subsequent a number of linear regression evaluation revealed that IA and IGD have been constructive predictors of alexithymia severity i.e., the scores obtained on IDS9-SF and IGDS9-SF might predict the scores obtained by the individuals within the TAS-20. Notably, cross-sectional research have proven a constructive correlation between IA and alexithymia in college college students [85, 86]. Likewise, IGD was positively related to alexithymia traits and melancholy signs severity, with alexithymia being a robust predictor of IGD severity [87].

Furthermore, a cross-sectional research confirmed a constructive correlation between IGD and IA amongst undergraduate medical college students; individuals with IGD obtained greater IA scores than these with out IGD [88]. Regression evaluation additionally revealed that gender confirmed a bent for significance amongst our individuals. This is in accordance with earlier research [8991].

Although the general regression mannequin was statistically vital, its explanatory energy remained reasonable (R2 = 0.20), with solely 20% of the variance seen in TAS-20 scores being defined by the predictors (IGDS9-SF, IDS9-SF, age, and gender). This stage of explanatory energy aligns with typical findings in particular person variations psychology, the place small-to-moderate results are widespread (e.g. r = 0.20) and nonetheless thought of significant [92]. Similarly, R2 values equating 10–21% have been present in different research assessing alexithymia predictors in college college students [82, 93].

Nevertheless, a big portion of the variance stays unexplained, which can be attributable to different psychological influences similar to melancholy, nervousness, or loneliness, all of which have been beforehand linked to alexithymia [15, 16, 27, 94]. These elements could possibly be explored in future analysis to enhance the exploratory energy of future research.

Though IA and IGD considerably correlate with alexithymia, the findings could differ in actual world situations, similar to medical settings, because the scales we used will not be diagnostic. Rather, they assist quantify alexithymia-like options and determine the chance of IA and IGD [63, 66, 67]. Therefore, our outcomes should be seen underneath the notion that our inhabitants doesn’t have any identified psychiatric circumstances.

In our research, 1.985% of the individuals match the factors of probably having habit to each, web and on-line gaming. Additionally, we discovered that solely 0.744% have been more likely to have alexithymia, IA, and IGD concurrently. Participants that scored greater in IDS9-SF and/or IGDS9-SF, obtained greater web TAS-20 scores. The chance of people with alexithymia resorting to addictive behaviors for emotional regulation could justify this discovering [13]. However, poor emotional regulation has additionally been famous in people with IA and IGD [95, 96]. Therefore, extreme on-line presence could have damaging impacts on psychological well being, somewhat than aiding in emotional regulation. In gentle of this argument, alexithymia has been proven to have an inverse affiliation with emotional intelligence, which is a predictor of addictive behaviors similar to problematic gaming or web use [97, 98].

The IA scores of our individuals had a constructive affiliation with the scores obtained in every of the TAS-20 subscales—DDF, DIF, and EOT. This result’s just like the findings of a cross-sectional research performed in Ankara, Turkey amongst college college students, the place they discovered an affiliation between the severity of IA and the DIF and DDF elements of alexithymia [93]. On an identical notice, there existed a constructive affiliation between the scale DIF and EOT and the severity of IGD amongst younger adults [99, 100]. In addition, scores between the IDS9-SF and EOT subscale of TAS-20 have a statistically vital, but weak correlation in our research. The diploma of IA isn’t a robust predictor of EOT. However, this discovering does recommend that IA could induce behavioral modifications, similar to specializing in exterior occasions somewhat than inside feelings. It can be doable that externally oriented individuals could resort to extreme web use. Alexithymia is a character assemble that’s characterised by difficulties in figuring out and expressing emotions or feelings, and lack of relational abilities and introspective talents [13]. Therefore, web platforms and gaming could assist fulfill unmet social wants with out the necessity for in individual interactions [100, 101].

Over the a long time, we now have witnessed an increase in psychological well being circumstances and their deleterious results on societies. Even then, a overwhelming majority don’t have entry to correct care [102, 103]. In addressing this problem, the UN’s SDG goal 3.4 strives to advertise “mental health and well-being” on a world scale [104, 105]. Considering the character of IA, IGD, and alexithymia, and their numerous associations, they’ve the potential for damaging implications on a person’s psychological and emotional well-being. A research similar to ours could assist in figuring out the occurrences of such issues and at-risk populations, and consequently allow early interventions, thereby bettering the psychological well being of the group.

Since extreme web use, and web gaming habit are linked to alexithymia, proactive university-based methods must be carried out. Emotional regulation concept means that people that battle to specific or perceive their feelings, similar to these with excessive alexithymia scores, might flip to exterior stimulation similar to web use and gaming as a coping mechanism to handle complicated emotional states [106]. It is necessary to handle these considerations, as these behaviors could affect not solely emotional regulation, however all domains in character improvement similar to household functioning, educational efficiency, and social relationships. Screening instruments could possibly be used to assist determine college students susceptible to emotional difficulties stemming from extreme on-line utilization. Universities might additionally present emotional literacy workshops for college students to follow figuring out, expressing, and managing their feelings, and prepare educational employees and advisors to acknowledge early indicators of alexithymia. Digital well-being and emotional abilities schooling and consciousness applications might be carried out into the educational curriculum to advertise more healthy digital habits. Finally, our research presents quantitative knowledge which doesn’t discover the underlying experiences a qualitative research would—an necessary consideration for future research.

Our research demonstrates a number of strengths that help the reliability of our findings. Responses have been collected from a bigger pattern of 403 scholar individuals, making certain statistical validity and generalizability of the outcomes. In extrapolation of the information we obtained, although derived from a pattern of scholars from a medical and well being sciences college, our outcomes could also be relevant to different college scholar samples. Thus, our research places forth an necessary dimension of psychological well being problems with the younger inhabitants.

Additionally, the pattern comprised individuals from totally different nationalities, enabling a vital evaluation of the cultural variations which will happen within the knowledge set. To the very best of our data, this analysis stands out as one of many first to the touch up on the connection between alexithymia, IA, and IGD concurrently; making this research a promising groundwork for additional exploration on preventive and therapeutic measures for a similar.

Limitations

Certain limitations warrant acknowledgment. Firstly, we now have not thought of the socioeconomic standing of the individuals or extra psychological elements similar to nervousness or melancholy, probably limiting the depth and context of the findings. Moreover, our pattern doesn’t represent an equal variety of female and male individuals. There is a feminine predominance, which can have launched gender-related bias. This is a limitation attributed to comfort sampling, as within the case of our research. This research additionally relied on a self-reported questionnaire, which inherently topics the information to self-report bias. This can current itself as individuals underreporting or overreporting their traits, attributable to a mess of causes similar to social desirability, misinterpretation of questions, and cultural variations. Furthermore, we collected knowledge from a multinational group, placing the information susceptible to variations attributable to cultural influences. Certain stigma round psychological well being and extreme web utilization, arising from cultural norms, could affect reporting. It is price noting that people with excessive levels of alexithymia may discover it tough to judge their very own emotional deficits on a self-report scale. A definitive analysis could require medical evaluation. Lastly, limitations inherent to cross-sectional research design exist, similar to the shortcoming to determine a trigger – and – impact relationship between the parameters assessed.

Conclusion

The research explores the incidence and relationship of the character assemble alexithymia, problematic web use, and web gaming habit amongst college college students. Our findings reveal a big incidence of alexithymia, IA, and IGD; and a mutually constructive correlation between the three, with IDS9-SF and IGDS9-SF scores being sturdy predictors of TAS-20 scores. Future research exploring the mechanisms underlying the correlation are warranted. There is a necessity for nation-wide research to determine the prevalence of IA, IGD, or alexithymia, given the dearth of associated statistics from this area within the Middle East. Although there exists a mutually constructive correlation between the three scores, we noticed that not each participant with alexithymia—like traits obtained scores suggesting IA or IGD. Similarly, not each participant with possible IA had IGD or vice-versa. Therefore, it stays essential to know why sure people usually tend to develop specific addictive behaviors or emotional traits than the others. Qualitative research on this space could serve the aim as they seize participant beliefs and perceptions that stem from their lived experiences. In order to minimize the affect of addictive behaviors like IA and IGD within the younger grownup inhabitants, efforts should be made to enhance consciousness, and sufficient entry to counseling companies should be ensured. This calls for joint efforts by their households, friends, and academic establishments.

Acknowledgements

The authors are grateful to the volunteers and RAKMHSU administration for his or her help and encouragement.

Author contributions

All authors have made vital contributions to the research and have authorised the ultimate manuscript. WA contributed to the conceptualization, research design, knowledge assortment, and manuscript writing. HJ was accountable for research planning, knowledge assortment, methodology improvement, and manuscript writing. SKS supervised the research conduct, carried out statistical evaluation, interpreted the information, and revised the manuscript. LKB validated the findings and reviewed the ultimate manuscript. TMT ensured the accuracy of findings and critically revised the manuscript.

Funding

The research was performed with none monetary help from funding companies, industrial organizations, or institutional grants.

Data availability

The knowledge is offered upon cheap request, topic to confidentiality restrictions.

Declarations

Ethics approval and consent to take part

Ethical approval for this research was obtained from the University Research and Ethics Committee (RAKMHSU-REC-120-2022/23-UG-M). All procedures have been carried out in accordance with the committee’s pointers and rules. Informed consent was obtained from all particular person individuals included within the research.

Consent for publication

Participants offered consent for the publication of anonymized knowledge and findings derived from their responses.

Competing pursuits

The authors declare no competing pursuits.

Footnotes

Publisher’s Note

Springer Nature stays impartial with regard to jurisdictional claims in printed maps and institutional affiliations.

References

  • 1.Sifneos PE. The prevalence of ‘alexithymic’ traits in psychosomatic sufferers. Psychother Psychosom. 1973;22(2–6):255–62. 10.1159/000286529.
    [DOI] [PubMed] [Google Scholar]
  • 2.Bagby RM, Taylor GJ, Parker JDA. The twenty-item Toronto Alexithymia scale—II. Convergent, discriminant, and concurrent validity. J Psychosom Res. 1994;38(1):33–40. 10.1016/0022-3999(94)90006-X.
    [DOI] [PubMed] [Google Scholar]
  • 3.Franz M, Popp Ok, Schaefer R, Sitte W, Schneider C, Hardt J, et al. Alexithymia within the German normal inhabitants. Soc Psychiatry Psychiatr Epidemiol. 2008;43(1):54–62. 10.1007/s00127-007-0265-1.
    [DOI] [PubMed] [Google Scholar]
  • 4.Mattila AK, Ahola Ok, Honkonen T, Salminen JK, Huhtala H, Joukamaa M. Alexithymia and occupational burnout are strongly related in working inhabitants. J Psychosom Res. 2007;62(6):657–65. 10.1016/j.jpsychores.2007.01.002.
    [DOI] [PubMed] [Google Scholar]
  • 5.Salminen JK, Saarijärvi S, Äärelä E, Toikka T, Kauhanen J. Prevalence of alexithymia and its affiliation with sociodemographic variables within the normal inhabitants of Finland. J Psychosom Res. 1999;46(1):75–82. 10.1016/S0022-3999(98)00053-1.
    [DOI] [PubMed] [Google Scholar]
  • 6.Obeid S, Akel M, Haddad C, Fares Ok, Sacre H, Salameh P, et al. Factors related to alexithymia among the many Lebanese inhabitants: outcomes of a cross-sectional research. BMC Psychol. 2019;7(1):80. 10.1186/s40359-019-0353-5.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Hamdan HM, Alislimah G, Alshalawi H, Alharbi Ok, Alsaif MI, Sulimany AM. Prevalence of alexithymia and related elements amongst dental college students in Saudi Arabia: a cross-sectional research. Healthcare. 2024;12(21):2193. 10.3390/healthcare12212193.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Rahimi M, Zarimeidani F, Bahreini HS, Rahmati R, Raeisi SH. Personality traits and alexithymia: a better have a look at college college students in a cross-sectional research. Medicine (Baltimore). 2025;104(10):e41765. 10.1097/MD.0000000000041765.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.El Abiddine FZ, Dave H, Aldhafri S, El-Astal S, Hemaid F, Parker JDA. Cross-validation of the 20-item Toronto Alexithymia Scale: outcomes from an Arabic multicenter research. Personality Individ Differ. 2017;113:219–22. 10.1016/j.paid.2017.03.017. [Google Scholar]
  • 10.Cox BJ, Swinson RP, Shulman ID, Bourdeau D. Alexithymia in panic dysfunction and social phobia. Compr Psychiatry. 1995;36(3):195–8. 10.1016/0010-440X(95)90081-6.
    [DOI] [PubMed] [Google Scholar]
  • 11.Šago D, Babić G, Bajić Ž, Filipčić I. Panic dysfunction as unthinkable feelings: alexithymia in panic dysfunction, a Croatian cross-sectional research. Front Psychiatr. 2020;20(11):466. 10.3389/fpsyt.2020.00466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Evren C, Sar V, Evren B, Semiz U, Dalbudak E, Cakmak D. Dissociation and alexithymia amongst males with alcoholism. Psychiatry Clin Neurosci. 2008;62(1):40–7. 10.1111/j.1440-1819.2007.01775.x.
    [DOI] [PubMed] [Google Scholar]
  • 13.Orsolini L. Unable to explain my emotions and feelings with out an habit: the interdependency between alexithymia and addictions. Front Psychiatry. 2020;23(11):543346. 10.3389/fpsyt.2020.543346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Thorberg FA, Young RMcD, Sullivan KA, Lyvers M. Alexithymia and alcohol use issues: a vital evaluation. Addict Behav. 2009;34(3):237–45. 10.1016/j.addbeh.2008.10.016.
    [DOI] [PubMed] [Google Scholar]
  • 15.Honkalampi Ok, Saarinen P, Hintikka J, Virtanen V, Viinamäki H. Factors related to alexithymia in sufferers affected by melancholy. Psychother Psychosom. 1999;68(5):270–5. 10.1159/000012343.
    [DOI] [PubMed] [Google Scholar]
  • 16.Wang X, Li X, Guo C, Hu Y, Xia L, Geng F, et al. Prevalence and correlates of alexithymia and its relationship with life occasions in Chinese adolescents with melancholy throughout the COVID-19 pandemic. Front Psychiatry. 2021;22(12):774952. 10.3389/fpsyt.2021.774952. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.De Zwaan M, Bach M, Mitchell JE, Ackard D, Specker SM, Pyle RL, et al. Alexithymia, weight problems, and binge consuming dysfunction. Int J Eat Disord. 1995;17(2):135–40. 10.1002/1098-108X(199503)17:2<135::AID-EAT2260170205>3.0.CO;2-7.
    [DOI] [PubMed] [Google Scholar]
  • 18.Essawy HI, Hashem NZ, El Hawary YA, Morsy MH, El Awady SA. Prevalence of consuming issues and alexithymia amongst a pattern of Egyptian medical college students not attending psychiatric clinics. QJM Int J Med. 2021;114(Supplement_1):hcab102.024. 10.1093/qjmed/hcab102.024.
  • 19.Milosavljevic B, Carter Leno V, Simonoff E, Baird G, Pickles A, Jones CRG, et al. Alexithymia in adolescents with autism spectrum dysfunction: its relationship to internalising difficulties, sensory modulation and social cognition. J Autism Dev Disord. 2016;46(4):1354–67. 10.1007/s10803-015-2670-8.
    [DOI] [PubMed] [Google Scholar]
  • 20.Ferguson CJ, Preece DA, Schweitzer RD. Alexithymia in autism spectrum dysfunction. Aust Psychol. 2023;58(2):131–7. 10.1080/00050067.2023.2174409. [Google Scholar]
  • 21.Kinnaird E, Stewart C, Tchanturia Ok. Investigating alexithymia in autism: a scientific evaluation and meta-analysis. Eur Psychiatry. 2019;55:80–9. 10.1016/j.eurpsy.2018.09.004.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Martino G, Caputo A, Vicario CM, Catalano A, Schwarz P, Quattropani MC. The relationship between alexithymia and sort 2 diabetes: a scientific evaluation. Front Psychol. 2020;28(11):2026. 10.3389/fpsyg.2020.02026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Di Tella M, Benfante A, Airale L, Castelli L, Milan A. Alexithymia and hypertension: does character matter? A scientific evaluation and meta-analysis. Curr Cardiol Rep. 2023;25(7):711–24. 10.1007/s11886-023-01894-7.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Chimenti MS, Fonti GL, Conigliaro P, Hitaj J, Triggianese P, Teoli M, et al. Evaluation of alexithymia in sufferers affected by rheumatoid arthritis and psoriatic arthritis: a cross-sectional research. Medicine (Baltimore). 2019;98(4):e13955. 10.1097/MD.0000000000013955.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Porcelli P, De Carne M, Todarello O. Prediction of remedy final result of sufferers with purposeful gastrointestinal issues by the diagnostic standards for psychosomatic analysis. Psychother Psychosom. 2004;73(3):166–73. 10.1159/000076454.
    [DOI] [PubMed] [Google Scholar]
  • 26.Gao T, Li J, Zhang H, Gao J, Kong Y, Hu Y, et al. The affect of alexithymia on cell phone habit: The function of melancholy, nervousness and stress. J Affect Disord. 2018;225:761–6. 10.1016/j.jad.2017.08.020.
    [DOI] [PubMed] [Google Scholar]
  • 27.Preece DA, Mehta A, Petrova Ok, Sikka P, Pemberton E, Gross JJ. Alexithymia profiles and melancholy, nervousness, and stress. J Affect Disord. 2024;357:116–25. 10.1016/j.jad.2024.02.071.
    [DOI] [PubMed] [Google Scholar]
  • 28.Oliveira J, Pedras S, Inman RA, Ramalho SM. Latent profiles of emotion regulation amongst college college students: hyperlinks to repetitive damaging pondering, web habit, and subjective wellbeing. Front Psychol. 2024;10(15):1272643. 10.3389/fpsyg.2024.1272643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Cash H, D. Rae C, H. Steel A, Winkler A. Internet habit: a quick abstract of analysis and follow. Curr Psychiatry Rev. 2012;8(4):292–8. 10.2174/157340012803520513. [DOI] [PMC free article] [PubMed]
  • 30.United Arab Emirates (UAE) Social Media Statistics 2024 | GMI [Internet]. Official GMI Blog. 2024 [cited 2025 Apr 7]. Available from: https://www.globalmediainsight.com/blog/uae-social-media-statistics/.
  • 31.Abdel-Salam DM, Alrowaili HI, Albedaiwi HK, Alessa AI, Alfayyadh HA. Prevalence of Internet habit and its related elements amongst feminine college students at Jouf University, Saudi Arabia. J Egypt Public Health Assoc. 2019;94(1):12. 10.1186/s42506-019-0009-6.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Barayan S, Al Dabal B, Abdelwahab M, Shafey M, Al OR. Health-related high quality of life amongst feminine college college students in Dammam district: Is Internet use associated? J Fam Community Med. 2018;25(1):20. 10.4103/jfcm.JFCM_66_17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Bener A, Bhugra D. Lifestyle and depressive danger elements related to problematic web use in adolescents in an arabian gulf tradition. J Addict Med. 2013;7(4):236–42. 10.1097/ADM.0b013e3182926b1f.
    [DOI] [PubMed] [Google Scholar]
  • 34.Kolaib AA, Alhazmi AH, Kulaib MA. Prevalence of web habit and its related elements amongst medical college students at Taiba University, Saudi Arabia. J Fam Med Prim Care. 2020;9(9):4797. 10.4103/jfmpc.jfmpc_655_20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Taha MH, Shehzad Ok, Alamro AS, Wadi M. Internet use and habit amongst medical college students in Qassim college, Saudi Arabia. Sultan Qaboos Univ Med J SQUMJ. 2019;19(2):142. 10.18295/squmj.2019.19.02.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Khazaal Y, El Abiddine FZ, Penzenstadler L, Berbiche D, Bteich G, Valizadeh-Haghi S, et al. Evaluation of the psychometric properties of the arab compulsive web use scale (CIUS) by merchandise response concept modeling (IRT). Int J Environ Res Public Health. 2022;19(19):12099. 10.3390/ijerph191912099.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Al-Khani AM, Saquib J, Rajab AM, Khalifa MA, Almazrou A, Saquib N. Internet habit in Gulf international locations: a scientific evaluation and meta-analysis. J Behav Addict. 2021;10(3):601–10. 10.1556/2006.2021.00057.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Jaiswal A, Manchanda S, Gautam V, Goel A, Aneja J, Raghav P. Burden of web habit, social nervousness and social phobia amongst University college students, India. J Fam Med Prim Care. 2020;9(7):3607. 10.4103/jfmpc.jfmpc_360_20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Gu J, Zhan P, Huang Z, Cheng S, Liu J, Xu W, et al. Anxiety/melancholy and web habit: instructions, antecedents, and outcomes. Curr Addict Rep. 2024;11(3):588–97. 10.1007/s40429-024-00565-z. [Google Scholar]
  • 40.Stanković M, Nešić M. Association of web habit with melancholy, nervousness, stress, and the standard of sleep: mediation evaluation strategy in Serbian medical college students. Curr Res Behav Sci. 2022;3:100071. 10.1016/j.crbeha.2022.100071. [Google Scholar]
  • 41.Xie X, Cheng H, Chen Z. Anxiety predicts web habit, which predicts melancholy amongst male school college students: a cross-lagged comparability by intercourse. Front Psychol. 2023;16(13):1102066. 10.3389/fpsyg.2022.1102066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.American Psychiatric Association. Diagnostic and statistical handbook of psychological issues. Fifth Edition. American Psychiatric Association; 2013. [cited 2025 Apr 7]. Available from:
  • 43.Psychiatry.org—Internet Gaming. [cited 2025 Apr 17]. Available from: https://www.psychiatry.org/patients-families/internet-gaming.
  • 44.Petry NM, Rehbein F, Ko CH, O’Brien CP. Internet gaming dysfunction within the DSM-5. Curr Psychiatry Rep. 2015;17(9):72. 10.1007/s11920-015-0610-0.
    [DOI] [PubMed] [Google Scholar]
  • 45.First MB, Yousif LH, Clarke DE, Wang PS, Gogtay N, Appelbaum PS. DSM-5-TR: overview of what’s new and what’s modified. World Psychiatry. 2022;21(2):218–9. 10.1002/wps.20989.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.ICD-11 [Internet]. [cited 2025 Apr 7]. Available from: https://icd.who.int/en/.
  • 47.Király O, Griffiths MD, Urbán R, Farkas J, Kökönyei G, Elekes Z, et al. Problematic web use and problematic on-line gaming will not be the identical: findings from a big nationally consultant adolescent pattern. Cyberpsychology Behav Soc Netw. 2014;17(12):749–54. 10.1089/cyber.2014.0475. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Griffiths MD. Conceptual Issues regarding web habit and web gaming dysfunction: additional critique on Ryding and Kaye (2017). Int J Ment Health Addict. 2018;16(1):233–9. 10.1007/s11469-017-9818-z.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Alshammari TK, Rogowska AM, Alobaid AM, Alharthi NW, Albaker AB, Alshammari MA. Examining nervousness and insomnia in internship college students and their affiliation with web gaming dysfunction. J Clin Med. 2024;13(14):4054. 10.3390/jcm13144054.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Aonso-Diego G, González-Roz A, Weidberg S, Secades-Villa R. Depression, nervousness, and stress in younger grownup avid gamers and their relationship with addictive behaviors: a latent profile evaluation. J Affect Disord. 2024;366:254–61. 10.1016/j.jad.2024.08.203.
    [DOI] [PubMed] [Google Scholar]
  • 51.Labana RV, Hadjisaid JL, Imperial AR, Jumawid KE, Lupague MJM, Malicdem DC. Online sport habit and the extent of melancholy amongst adolescents in Manila, Philippines. Cent Asian J Glob Health. 2020 [cited 2025 Apr 7];9(1). 10.5195/cajgh.2020.369. [DOI] [PMC free article] [PubMed]
  • 52.Marino C, Canale N, Vieno A, Caselli G, Scacchi L, Spada MM. Social nervousness and Internet gaming dysfunction: the function of motives and metacognitions. J Behav Addict. 2020;9(3):617–28. 10.1556/2006.2020.00044.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Meng SQ, Cheng JL, Li YY, Yang XQ, Zheng JW, Chang XW, et al. Global prevalence of digital habit usually inhabitants: a scientific evaluation and meta-analysis. Clin Psychol Rev. 2022;92:102128. 10.1016/j.cpr.2022.102128.
    [DOI] [PubMed] [Google Scholar]
  • 54.Zhou R, Morita N, Ogai Y, Saito T, Zhang X, Yang W, et al. Meta-analysis of web gaming dysfunction prevalence: assessing the impacts of DSM-5 and ICD-11 diagnostic standards. Int J Environ Res Public Health. 2024;21(6):700. 10.3390/ijerph21060700.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Lozano-Blasco R, Robres AQ, Sánchez AS. Internet habit in younger adults: a meta-analysis and systematic evaluation. Comput Hum Behav. 2022;130:107201. 10.1016/j.chb.2022.107201. [Google Scholar]
  • 56.Gao YX, Wang JY, Dong GH. The prevalence and doable danger elements of web gaming dysfunction amongst adolescents and younger adults: systematic critiques and meta-analyses. J Psychiatr Res. 2022;154:35–43. 10.1016/j.jpsychires.2022.06.049.
    [DOI] [PubMed] [Google Scholar]
  • 57.Kajanoja J, Scheinin NM, Karukivi M, Karlsson L, Karlsson H. Alcohol and tobacco use in males: the function of alexithymia and externally oriented pondering fashion. Am J Drug Alcohol Abuse. 2019;45(2):199–207. 10.1080/00952990.2018.1528267.
    [DOI] [PubMed] [Google Scholar]
  • 58.Lyvers M, Duric N, Thorberg FA. Caffeine use and alexithymia in college college students. J Psychoactive Drugs. 2014;46(4):340–6. 10.1080/02791072.2014.942043.
    [DOI] [PubMed] [Google Scholar]
  • 59.Morie KP, Yip SW, Nich C, Hunkele Ok, Carroll KM, Potenza MN. Alexithymia and habit: a evaluation and preliminary knowledge suggesting neurobiological hyperlinks to reward/loss processing. Curr Addict Rep. 2016;3(2):239–48. 10.1007/s40429-016-0097-8.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Votruba N, Thornicroft G, the FundaMentalSDG Steering Group. Sustainable improvement objectives and psychological well being: learnings from the contribution of the FundaMentalSDG international initiative. Glob Ment Health. 2016;3:e26. 10.1017/gmh.2016.20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Sample Size Calculator by Raosoft, Inc. [Internet]. [cited 2025 Apr 7]. Available from: http://www.raosoft.com/samplesize.html.
  • 62.Wu MJ, Zhao Ok, Fils-Aime F. Response charges of on-line surveys in printed analysis: a meta-analysis. Comput Hum Behav Rep. 2022;7:100206. 10.1016/j.chbr.2022.100206. [Google Scholar]
  • 63.Bagby RM, Parker JDA, Taylor GJ. Twenty-five years with the 20-item Toronto Alexithymia Scale. J Psychosom Res. 2020;131:109940. 10.1016/j.jpsychores.2020.109940.
    [DOI] [PubMed] [Google Scholar]
  • 64.Bagby RM, Parker JDA, Onno KA, Mortezaei A, Taylor GJ. Development and psychometric analysis of an informant type of the 20-item Toronto alexithymia scale. J Psychosom Res. 2021;141:110329. 10.1016/j.jpsychores.2020.110329.
    [DOI] [PubMed] [Google Scholar]
  • 65.Taylor GJ, Bagby RM, Parker JDA. The 20-item Toronto alexithymia scale. J Psychosom Res. 2003;55(3):277–83. 10.1016/S0022-3999(02)00601-3.
    [DOI] [PubMed] [Google Scholar]
  • 66.Pontes HM, Griffiths MD. The improvement and psychometric properties of the web dysfunction scale–quick type (IDS9-SF). Addicta Turk J Addict [Internet]. 2017 Feb 24 [cited 2025 Mar 2];3(3). Available from: https://www.addicta.com.tr/en/the-development-and-psychometric-properties-of-the-internet-disorder-scale-short-form-ids9-sf-13111.
  • 67.Pontes HM, Griffiths MD. Measuring DSM-5 web gaming dysfunction: improvement and validation of a brief psychometric scale. Comput Hum Behav. 2015;45:137–43. 10.1016/j.chb.2014.12.006. [Google Scholar]
  • 68.Sayili U, Pirdal BZ, Kara B, Acar N, Camcioglu E, Yilmaz E, et al. Internet habit and social media habit in medical school college students: prevalence, associated elements, and affiliation with life satisfaction. J Community Health. 2023;48(2):189–98. 10.1007/s10900-022-01153-w.
    [DOI] [PubMed] [Google Scholar]
  • 69.Cheng C, Li AY lam. Internet habit prevalence and high quality of (actual) life: a meta-analysis of 31 nations throughout seven world areas. Cyberpsychology Behav Soc Netw. 2014;17(12):755–60. 10.1089/cyber.2014.0317. [DOI] [PMC free article] [PubMed]
  • 70.Pan YC, Chiu YC, Lin YH. Systematic evaluation and meta-analysis of epidemiology of web habit. Neurosci Biobehav Rev. 2020;118:612–22. 10.1016/j.neubiorev.2020.08.013.
    [DOI] [PubMed] [Google Scholar]
  • 71.Li L, Xu DD, Chai JX, Wang D, Li L, Zhang L, et al. Prevalence of Internet habit dysfunction in Chinese college college students: a complete meta-analysis of observational research. J Behav Addict. 2018;7(3):610–23. 10.1556/2006.7.2018.53.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Salarvand S, N. Albatineh A, Dalvand S, Baghban Karimi E, Ghanei Gheshlagh R. Prevalence of web habit amongst Iranian college college students: a scientific evaluation and meta-analysis. Cyberpsychology Behav Soc Netw. 2022;cyber.2021.0120. 10.1089/cyber.2021.0120. [DOI] [PubMed]
  • 73.Liu X, Gui Z, Chen ZM, Feng Y, Wu X dan, Su Z, et al. Global prevalence of web habit amongst college college students: a scientific evaluation and meta-analysis. Curr Opin Psychiatry. 2025;38(3):182–99. 10.1097/YCO.0000000000000994. [DOI] [PubMed]
  • 74.Pop-Jordanova N, Loleska S. Neuropsychological correlates of web habit. Prilozi. 2021;42(3):17–28. 10.2478/prilozi-2021-0031.
    [DOI] [PubMed] [Google Scholar]
  • 75.Chiang CLL, Zhang MWB, Ho RCM. Prevalence of web gaming dysfunction in medical college students: a meta-analysis. Front Psychiatry. 2022;24(12):760911. 10.3389/fpsyt.2021.760911. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Rho M, Lee H, Lee TH, Cho H, Jung D, Kim DJ, et al. Risk elements for web gaming dysfunction: psychological elements and web gaming traits. Int J Environ Res Public Health. 2017;15(1):40. 10.3390/ijerph15010040.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Darvesh N, Radhakrishnan A, Lachance CC, Nincic V, Sharpe JP, Ghassemi M, et al. Exploring the prevalence of gaming dysfunction and web gaming dysfunction: a speedy scoping evaluation. Syst Rev. 2020;9(1):68. 10.1186/s13643-020-01329-2.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Mihara S, Higuchi S. Cross‐sectional and longitudinal epidemiological research of I nternet gaming dysfunction: a scientific evaluation of the literature. Psychiatry Clin Neurosci. 2017;71(7):425–44. 10.1111/pcn.12532.
    [DOI] [PubMed] [Google Scholar]
  • 79.Salari N, Heidarian P, Hassanabadi M, Babajani F, Abdoli N, Aminian M, et al. Global prevalence of social nervousness dysfunction in kids, adolescents and youth: a scientific evaluation and meta-analysis. J Prev. 2024;45(5):795–813. 10.1007/s10935-024-00789-9. [DOI] [PubMed] [Google Scholar]
  • 80.Grieve R, Kemp N, Norris Ok, Padgett CR. Push or pull? Unpacking the social compensation speculation of Internet use in an academic context. Comput Educ. 2017;109:1–10. 10.1016/j.compedu.2017.02.008. [Google Scholar]
  • 81.Aljaffer MA, Almadani AH, Alghamdi SA, Alabdulkarim IM, Albabtain MA, Altameem RM, et al. Prevalence and related elements of alexithymia amongst medical college students: a cross-sectional research from Saudi Arabia. Neurosciences. 2022;27(4):257–62. 10.17712/nsj.2022.4.20220049.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Alzahrani SH, Coumaravelou S, Mahmoud I, Beshawri J, Algethami M. Prevalence of alexithymia and related elements amongst medical college students at King Abdulaziz University: a cross-sectional research. Ann Saudi Med. 2020;40(1):55–62. 10.5144/0256-4947.2020.55.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Baysan-Arslan S, Cebeci S, Kaya M, Canbal M. Relationship between web habit and alexithymia amongst college college students. Clin Invest Med. 2016;39(6):111. 10.25011/cim.v39i6.27513. [PubMed] [Google Scholar]
  • 84.Meza-Concha N, Arancibia M, Salas F, Behar R, Salas G, Silva H, et al. Towards a neurobiological understanding of alexithymia. Medwave. 2017;17(04):e6960–e6960. 10.5867/medwave.2017.04.6960.
    [DOI] [PubMed] [Google Scholar]
  • 85.Alpaslan AH. The affiliation between problematic web use, suicide likelihood, alexithymia and loneliness amongst Turkish medical college students. J Psychiatry. 2015 [cited 2025 Mar 2];18(1). 10.4172/Psychiatry.1000208.
  • 86.Soliman E, Allabun S, Algenaimi E, Aldhuwayhi R, Almutairi A, Al-warthan S, et al. The relationship between alexithymia and web habit amongst college college students within the Kingdom of Saudi Arabia. Int J Med Dev Ctries. 2021;433–8. 10.24911/IJMDC.51-1601559603.
  • 87.Pape M, Reichrath B, Bottel L, Herpertz S, Kessler H, Dieris-Hirche J. Alexithymia and web gaming dysfunction within the gentle of melancholy: a cross-sectional medical research. Acta Psychol (Amst). 2022;229:103698. 10.1016/j.actpsy.2022.103698.
    [DOI] [PubMed] [Google Scholar]
  • 88.Murugan Y, Thakkar D, Ram R, Dhanapal Ok. Associations between cognitive disengagement syndrome, Internet habit, and Internet gaming dysfunction amongst medical college students—a cross-sectional research. Ind Psychiatry J. 2024. [cited 2025 Apr 7]. 10.4103/ipj.ipj_325_23. [DOI] [PMC free article] [PubMed]
  • 89.Shan X, Ou Y, Ding Y, Yan H, Chen J, Zhao J, et al. Associations between web habit and gender, nervousness, coping kinds and acceptance in college freshmen in south China. Front Psychiatry. 2021;31(12):558080. 10.3389/fpsyt.2021.558080. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Ismail N, Tajjudin AI, Jaafar H, Nik Jaafar NR, Baharudin A, Ibrahim N. The relationship between Internet Addiction, Internet Gaming and Anxiety amongst Medical Students in a Malaysian Public University throughout COVID-19 Pandemic. Int J Environ Res Public Health. 2021;18(22):11870. 10.3390/ijerph182211870. [DOI] [PMC free article] [PubMed]
  • 91.DarvishiA, Sanjari E, Shahraki HR. The prediction of alexithymia utilizing melancholy, nervousness, stress, and demographics in undergraduate college students. J Biostat Epidemiol. 2023 Aug 11 [cited 2025 Jun 29]. 10.18502/jbe.v8i4.13356.
  • 92.Gignac GE, Szodorai ET. Effect measurement pointers for particular person variations researchers. Pers Individ Differ. 2016;102:74–8. 10.1016/j.paid.2016.06.069. [Google Scholar]
  • 93.Dalbudak E, Evren C, Aldemir S, Coskun KS, Ugurlu H, Yildirim FG. Relationship of web habit severity with melancholy, nervousness, and alexithymia, temperament and character in college college students. Cyberpsychol Behav Soc Netw. 2013;16(4):272–8. 10.1089/cyber.2012.0390.
    [DOI] [PubMed] [Google Scholar]
  • 94.Zhang B, Zhang W, Sun L, Jiang C, Zhou Y, He Ok. Relationship between alexithymia, loneliness, resilience and non-suicidal self-injury in adolescents with melancholy: a multi-center research. BMC Psychiatry. 2023;23(1):445. 10.1186/s12888-023-04938-y.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Kuss DJ, Pontes HM, Griffiths MD. Neurobiological correlates in web gaming dysfunction: a scientific literature evaluation. Front Psychiatry. 2018;8(9):166. 10.3389/fpsyt.2018.00166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Yadav S, Bansal D. The affect of web habit on emotional regulation and communication abilities. Int J Indian Psychol. 2024;12(4). 10.25215/1204.195.
  • 97.Parker JDA, Taylor GJ, Bagby RM. The relationship between emotional intelligence and alexithymia. Pers Individ Differ. 2001;30(1):107–15. 10.1016/S0191-8869(00)00014-3. [Google Scholar]
  • 98.Parker JDA, Taylor RN, Eastabrook JM, Schell SL, Wood LM. Problem playing in adolescence: relationships with web misuse, gaming abuse and emotional intelligence. Pers Individ Differ. 2008;45(2):174–80. 10.1016/j.paid.2008.03.018. [Google Scholar]
  • 99.Blinka L, Faltýnková A, Rečka Ok. Alexithymia in gaming habit and engagement. J Affect Disord. 2024;354:104–9. 10.1016/j.jad.2024.03.060.
    [DOI] [PubMed] [Google Scholar]
  • 100.Evren C. Relationship of web gaming dysfunction severity with signs of hysteria, melancholy, alexithymia, and aggression amongst college college students. Dusunen Adam J Psychiatry Neurol Sci [Internet]. 2020 [cited 2025 Mar 2]. 10.14744/DAJPNS.2019.00032.
  • 101.Mahapatra A, Sharma P. Association of web habit and alexithymia—a scoping evaluation. Addict Behav. 2018;81:175–82. 10.1016/j.addbeh.2018.02.004.
    [DOI] [PubMed] [Google Scholar]
  • 102.Wu Y, Wang L, Tao M, Cao H, Yuan H, Ye M, et al. Changing tendencies within the international burden of psychological issues from 1990 to 2019 and predicted ranges in 25 years. Epidemiol Psychiatr Sci. 2023;32:e63. 10.1017/S2045796023000756.
    [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Mental issues. [cited 2025 Apr 9]. Available from: https://www.who.int/news-room/fact-sheets/detail/mental-disorders.
  • 104.Mental Wellness on the Heart of the SDGs | Division for Inclusive Social Development (DISD) [Internet]. [cited 2025 Apr 9]. Available from: https://social.desa.un.org/sdn/mental-wellness-at-the-heart-of-the-sdgs.
  • 105.Goal 3 | Department of Economic and Social Affairs [Internet]. [cited 2025 Apr 9]. Available from: https://sdgs.un.org/goals/goal3#targets_and_indicators.
  • 106.Gioia F, Rega V, Boursier V. Problematic web use and emotional dysregulation amongst younger individuals: a literature evaluation. Clin Neuropsychiatry. 2021;18(1):41–54. 10.36131/cnfioritieditore20210104.
    [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This part collects any knowledge citations, knowledge availability statements, or supplementary supplies included on this article.

Data Availability Statement

The knowledge is offered upon cheap request, topic to confidentiality restrictions.


This web page was created programmatically, to learn the article in its unique location you may go to the hyperlink bellow:
https://pmc.ncbi.nlm.nih.gov/articles/PMC13087062/
and if you wish to take away this text from our web site please contact us