Addictive social media use during Covid-19 outbreak: Validation of the Bergen Social Media Addiction Scale (BSMAS) and investigation of protective factors in nine countries.

Since the Covid-19 outbreak, addictive social media use increased in many countries. To better understand this development, a universal instrument for the assessment of addictive social media use is required. Against this background, we examined the psychometric properties of the Bergen Social Media Addiction Scale (BSMAS) in representative population samples in nine countries (N = 9418, age range: "18 to 24 years" (youngest group), "55 years and older" (oldest group): China, France, Germany, Poland, Russia, Spain, Sweden, U.K., U.S.). Furthermore, we investigated potential factors and mechanisms that could be associated with addictive social media use. Our cross-national findings show that the BSMAS is a unidimensional reliable and valid instrument. Moreover, they reveal that the negative association between positive mental health and addictive social media use is mediated by sense of control in seven of the nine countries (exception: China, Russia). Thus, it can be hypothesized that activities which increase positive mental health could indirectly contribute to the decrease of addictive social media use. We identified conscious engagement in physical activity and a regular sleep rhythm during the pandemic as such potential activities. The fostering of both by governmental programs could enhance positive mental health and reduce addictive social media use.

Browsing throughout pregnancy: The longitudinal course of social media use during pregnancy.

BACKGROUND: The number of people using social media has substantially increased over the past years. Previous studies have shown associations between social media overuse and mental health problems during pregnancy. The current study evaluates changes in social media use during pregnancy. METHODS: Pregnant women were recruited at their first antenatal appointment between January 2020 and July 2022 (N = 1135). The time spent on social media, frequency of social media use and problematic social media use, using the Bergen Social Media Addiction Scale (BSMAS), were assessed at 12, 20 and 28 weeks of pregnancy. Pearson r correlations and repeated measures ANOVAs were performed to assess possible changes in social media use over the course of pregnancy. Lastly, we stratified social media use throughout pregnancy for parity. RESULTS: There was a significant change in social media use over time, for the time spent on social media, frequency of social media use and problematic social media use. Mean social media scores were the lowest at 12 weeks of pregnancy and increased significantly at 20 weeks of pregnancy, after which they remained stable at 28 weeks. Compared to multiparous women, primiparous women spent more time on social media at 20 weeks of pregnancy, but not at 12 or 28 weeks. CONCLUSION: Because overuse of social media has been associated with poor mental health, healthcare professionals should be aware of the intensity of social media use throughout pregnancy.

A rise in social media use in adolescents during the COVID-19 pandemic: the French validation of the Bergen Social Media Addiction Scale in a Canadian cohort.

INTRODUCTION: Social media use has grown dramatically since its inception in the early 2000s and has further increased during the COVID-19 pandemic. Problematic use of social media (PUSM) is a type of behavioural addiction which has generated increasing interest among mental health clinicians and scholars in the last decade. PUSM is associated with multiple psychiatric conditions and is known to interfere with patients' daily functioning. There is no single accepted definition of PUSM, nor means of measuring it, in the literature. The Bergen Social Media Addiction Scale (BSMAS) is a helpful tool for identifying PUSM. This paper aims to validate BSMAS and to translate it from English into French, with the goal of making this clinical screening tool for PUSM available in French-language contexts. METHOD: This study explored the psychometric validity of the French version of the BSMAS in a sample of 247 adolescents, who were either psychiatric inpatients (the hospitalized group, n = 123) or recruited in local high schools (the community group, n = 124). RESULTS: The adolescents in the sample reported an increase in their social media use during the COVID-19 pandemic. This increase was more pronounced in the hospitalized group. Confirmatory factorial analysis showed an excellent fit, very good internal consistency and established convergent validity for the French version of the BSMAS. A total of 15.4% of the hospitalization group and 6.5% of the community group met the recommended clinical cutoff of 24 on the BSMAS, suggesting problematic use of social media. CONCLUSIONS: The French version of BSMAS is a psychometrically validated and clinically useful tool to screen for PUSM in adolescents.

Has the prevalence of problematic social media use increased over the past seven years and since the start of the COVID-19 pandemic? A meta-analysis of the studies published since the development of the Bergen social media addiction scale.

Problematic Social Media Use (PSMU) has been defined as the lack of regulation of one's use of social media associated with negative outcomes in everyday functioning. Previous meta-analyses reported PSMU prevalence before the beginning of the COVID-19 pandemic and based the estimates on the cut-off scores, which are debatable in the current fields. The present meta-analysis aims to explore whether PSMU, as assessed by the most used self-report scale (i.e., the Bergen Social Media Addiction Scale; BSMAS), increased across the world (i) since the first published study on this topic (i.e., in the last seven years), (ii) since the beginning of the COVID-19 pandemic, and (iii) depending on age, gender and the income level of the countries. The meta-analysis involved 139 independent samples with 133,955 respondents from 32 countries spanning seven world regions. The results show that PSMU: (i) is significantly higher in low-income countries (LIC); (ii) did not increase in the last 7 years overall and after the beginning of the COVID-19 pandemic, except for LIC; (iii) did not vary depending on age and gender. The higher prevalence of PSMU reported during the COVID-19 pandemic by some single studies may have been a transient phenomenon to cope with physical distances in some countries, whilst, in others, an overall increase of PSMU occurred. High levels of PSMU in LIC might be explained based on socio-cultural differences between countries, but also with the higher prevalence of mental disorders in LIC since PSMU might be a symptom of other, more primary psychiatric disorders.

Social media use as a risk factor for depressive symptoms during pregnancy.

BACKGROUND: Accumulating research has shown associations between excessive social media use (SMU) with depressive symptoms. Depression is common during pregnancy, but it is not known whether SMU plays a role in the etiology and clinical course of depressive symptoms during pregnancy. METHODS: The current study is a prospective cohort study with Dutch-speaking pregnant women recruited at the first antenatal appointment (N = 697). Depressive symptoms were measured at each trimester of pregnancy using the Edinburgh Depression Scale. Growth mixture modeling was used to determine classes of women based on longitudinal trajectories of depressive symptoms. SMU was assessed at 12 weeks of pregnancy, specifically, intensity (time and frequency) and problematic SMU (Bergen Social Media Addiction Scale). Multinomial logistic regression analyses were used to examine the associations between SMU and trajectories of depressive symptoms. RESULTS: Three trajectories of depressive symptoms during pregnancy were identified: a low stable (N = 489, 70.2 %), intermediate stable (N = 183, 26.3 %), and high stable (N = 25, 3.6 %) class. SMU Time and Frequency were significantly associated with belonging to the high stable class. Problematic SMU was significantly associated with belonging to the intermediate or high stable class. LIMITATIONS: The study does not allow to draw conclusions about causality. The group sizes of the three trajectories differed considerably. Data were collected during the COVID-19 pandemic which may have influenced the results. SMU was measured by self-report. CONCLUSIONS: These results indicate that both higher intensity of SMU (time and frequency) and problematic SMU may be a risk factor for higher levels of prenatal depressive symptoms during pregnancy.

The Protective Role of Resilience in the Development of Social Media Addiction in Tertiary Students and Psychometric Properties of the Slovenian Bergen Social Media Addiction Scale (BSMAS).

With the onset of the COVID-19 pandemic, social media became one of the most utilized sources of information relating to the disease. With the increased reliance on social media, the risk of excessive use and the development of social media addiction emerges. The aim of the present study was to explore the psychometric properties of the Slovenian version of the Bergen Social Media Addiction Scale, and to explore how psychological resilience affects social media addiction symptoms directly and indirectly through symptoms of depression, anxiety and mental distress. A large online cross-sectional study was conducted in March 2021 among Slovenian tertiary students (N = 4868). The results showed the high reliability, unidimensionality and criterion validity of the Slovenian Bergen Social Media Addiction Scale. The proposed structural model fit the data well and showed a significant direct positive effect of depression and stress on social media addiction. Moreover, the majority of the negative effects of psychological resilience on social media addiction (87.2%) were indirect, through depression and stress symptoms, whereas resilience had a significantly smaller impact on social media addiction by reducing anxiety symptoms. The overall prevalence of social media addiction symptoms was 4.6%, with females exhibiting higher proportions than men. Additionally, female social media users reported a complete absence of social media addiction symptoms less often compared to males. Future research should further explore the mechanisms behind social media addiction, in order to gain a better understanding of the apparently different risk levels for both genders.

Measurement Invariance of the Bergen Social Media Addiction Scale Across Genders.

Social media addiction has been a hot issue in scientific research in recent years, its antecedents and consequences have been extensively studied. Among these studies, Bergen Social Media Addiction Scale (BSMAS) is one of the most commonly used instruments. However, little is known about whether this scale has the equivalent psychometric properties for men and women. The purpose of the current study is to examine the measurement invariance (including configural invariance, metric invariance, scalar invariance, and error variance invariance) of the BSMAS across genders. In total, 1,120 participants were recruited from 5 universities. R program was applied to conduct the single-group and multiple-group confirmatory factor analysis (CFA) based on the social media addiction symptom ratings. The results demonstrated that BSMAS was a valid and psychometrically robust instrument for assessing the risk of social media addiction among university students, and that the four types of measurement invariance of the BSMAS across genders were confirmed. Consequently, gender differences in the BSMAS scores are likely to reflect the genuine differences between men and women, and comparisons on the level of social media addiction of university students between gender groups can be interpreted meaningfully.

Psychometric Properties of the Bergen Social Media Addiction Scale in Korean Young Adults.

OBJECTIVE: The aim of this study was to examine the psychometric properties of the Bergen Social Media Addiction Scale (BSMAS) in Korean young adults. METHODS: A total of 401 Korean university students (mean age±SD, 21.9±1.8 years; female, 72.8%) participated in the study. They completed the Korean version of BSMAS, the Social Network Site Addiction Proneness Scale (SAPS), and the Social Network Site Use Motives Scale. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted in half-split samples to assess the construct validity of the BSMAS. Internal consistency, test-retest reliability, and convergent validity were examined. RESULTS: Both EFA and CFA supported a unidimensional model of the BSMAS. Indices of test-retest reliability at a 3-week interval (r=0.75) and internal consistency (Cronbach's alpha=0.86) of the BSMAS were acceptable and convergent validity between the BSMAS and the SAPS (r=0.86) was satisfactory. CONCLUSION: The results of this study suggest that the BSMAS is an effective tool for screening social network site (SNS) addiction in Korean young adults and is a psychometrically sound measure that can be used in future Korean research on SNS addiction.

Determination the cut-off point for the Bergen social media addiction (BSMAS): Diagnostic contribution of the six criteria of the components model of addiction for social media disorder.

OBJECTIVE: Social media disorder (SMD) is an increasing problem, especially in adolescents. The lack of a consensual classification for SMD hinders the further development of the research field. The six components of Griffiths' biopsychosocial model of addiction have been the most widely used criteria to assess and diagnosis SMD. The Bergen social media addiction scale (BSMAS) based on Griffiths' six criteria is a widely used instrument to assess the symptoms and prevalence of SMD in populations. This study aims to: (1) determine the optimal cut-off point for the BSMAS to identify SMD among Chinese adolescents, and (2) evaluate the contribution of specific criteria to the diagnosis of SMD. METHOD: Structured diagnostic interviews in a clinical sample (n = 252) were performed to determine the optimal clinical cut-off point for the BSMAS. The BSMAS was further used to investigate SMD in a community sample of 21,375 adolescents. RESULTS: The BSMAS score of 24 was determined as the best cut-off score based on the gold standards of clinical diagnosis. The estimated 12-month prevalence of SMD among Chinese adolescents was 3.5%. According to conditional inference trees analysis, the criteria "mood modification", "conflict", "withdrawal", and "relapse" showed the higher predictive power for SMD diagnosis. CONCLUSIONS: Results suggest that a BSMAS score of 24 is the optimal clinical cut-off score for future research that measure SMD and its impact on health among adolescents. Furthermore, criteria of "mood modification", "conflict", "withdrawal", and "relapse" are the most relevant to the diagnosis of SMA in Chinese adolescents.

Investigating Links Between Fear of COVID-19, Neuroticism, Social Networks Use Disorder, and Smartphone Use Disorder Tendencies.

The present study investigates links between fear of COVID-19, the personality trait of neuroticism, social networks use disorder, and smartphone use disorder (SNUD and SmUD, respectively) tendencies. In an online survey, N = 932 participants recruited at a Chinese University (237 males and 695 females) completed self-reports on fear of COVID-19, neuroticism (and other personality traits from the Big Five Inventory-44), the Bergen Social Media Addiction Scale (assessing tendencies toward SNUD), and the Smartphone Addiction Scale short version-assessing individual differences in tendencies toward SmUD. Our findings showed that all variables of main interest were positively correlated with each other. A mediation model suggested that SNUD (in parts) mediated the association between fear of COVID-19 and SmUD. Although neuroticism was robustly correlated with all mentioned variables, no moderation effect could be observed on the investigated fear-of-COVID-19-SNUD-link. The findings of this work provide further evidence that the smartphone itself is only a device giving individuals access to software applications, which might be excessively used. Beyond that, the present data indicate neuroticism to be a risk factor with respect to fear of COVID-19, SNUD, and SmUD, although the study is limited by its cross-sectional study design.

The association between problematic internet use, psychological distress, and sleep problems during COVID-19.

The implementation of mandatory stay-at-home and isolation policies during the COVID-19 pandemic has resulted in people relying more on smartphone use to obtain the latest developments regarding the pandemic, interact with people, and for entertainment. Unfortunately, as people spend more time participating in Internet activities, they are more likely to encounter problematic internet use (PIU) issues. The main purpose of this study was to examine the association between two kinds of PIU [problematic smartphone use (PSU) and problematic social media use (PSMU)], psychological distress, and sleep problems. In addition, the moderating effect of sleep problems was examined. A total of 11014 school teachers completed the online survey. The participants were divided into two (high and low sleep problem) groups, according to the severity of their sleep problems, for comparison. The research conducted a comparison between the degree of PIU and psychological distress, and then provided correction for the two groups separately. The results indicated that the high sleep problem group exhibited significantly greater psychological distress [mean (SD) = 12.94 (11.29)] than the low sleep problem group [(mean (SD) = 3.42 (6.57)]. Both PSU and PSMU were positively correlated with psychological distress in the two groups. The moderating effect of sleep problems was supported and PSMU was more harmful to psychological distress in the high sleep problem group, while the effect of PSU on psychological distress was not significantly different between the two groups.

The relationship between social networking addiction and academic performance in Iranian students of medical sciences: a cross-sectional study.

BACKGROUND: Social networks have had a major influence on students' performance in recent years. These networks create many opportunities and threats for students in various fields. Addiction to social networking and its impact on students' academic performance caused the researcher to design and conduct this study. The purpose of this study was to investigate the relationship between social networking addiction and academic performance of students in Iran. METHODS: In this cross-sectional study, 360 students were enrolled by stratified random sampling. The study tools included personal information form and the Bergen Social Media Addiction Scale. Also, the students' overall grade obtained in previous educational term was considered as the indicator of academic performance. Data were analyzed using SPSS-18.0 and descriptive and inferential statistics. FINDINGS: The mean social networking addiction was higher in male students (52.65 ± 11.50) than in female students (49.35 ± 13.96) and this difference was statistically significant (P < 0.01). There was a negative and significant relationship between students' addiction to social networking and their academic performance (r = - 0.210, p < 0.01). CONCLUSIONS: The social networking addiction of the students was at moderate level and the male students had a higher level of addiction compared to the female students. There was a negative and significant relationship between the overall use of social networks and academic performance of students. Therefore, it is imperative that the university authorities take interventional steps to help students who are dependent on these networks and, through workshops, inform them about the negative consequences of addiction to social networks.