Nomophobia and relationships with latent classes of solitude

German population norms of the preference to solitude scale and its correlates

AIM

Our first aim was to present norm values for the Preference for Solitude Scale by sex, age, and other sociodemographic groups. Our second aim was to evaluate the correlates of preference for solitude.

METHODS

Data were collected in August/September 2023 from a sample of individuals (N = 5000) living in Germany aged 18 to 74 years (ensuring representativeness in terms of sex, age group and federal state for the German general adult population). The established and valid Preference for Solitude Scale (range 0 to 12, with higher values reflecting a stronger preference for solitude) was used to quantify the preference for solitude. Norm values were provided by sex and age groups. Multiple linear regressions were used to examine the correlates of preference for solitude.

RESULTS

Average preference for solitude score was 7.6 (SD = 3.0; 0 to 12). The average score was 7.3 (SD = 3.0) among males and 7.9 (SD = 2.9) among females. Regressions showed that a stronger preference for solitude was associated with being female (β = .51, p < .001), being older (e.g., being 40 to 49 years compared to 18 to 29 years, β = .85, p < .001), being single (e.g., divorced compared to being single, β = -.78, p < .01), higher level of education (secondary education compared to primary education, β = .43, p < .01), never been a smoker (e.g., daily smoker compared to never smokers, β = -.61, p < .001), absence of alcohol consumption (e.g., drinking once a week compared to never drinking, β = -1.09, p < .001), no sports activity (e.g., 2-4 hours per week compared to no sports activity, β = -.60, p < .001), poorer self-rated health (β = .28, p < .001) and more depressive symptoms (β = .05, p < .001). Sex-stratified regressions yielded similar results.

CONCLUSION

Norm values provided in this study can be used as a benchmark for comparison with other countries and can guide further research dealing with preferences for solitude. We demonstrated the importance of several sociodemographic factors (e.g., marital status), lifestyle-related factors (e.g., sports activity), and health-related factors (e.g., depressive symptoms) for the preference for solitude. Such knowledge about the correlates of preference for solitude may help to characterize them. This is essential to ensure a good balance between social interaction and being alone. This is important because preference for solitude is associated with poor self-rated health and depression, but also with healthy behaviors such as abstaining from smoking and drinking.

Changes of Solitude Behaviors among College Students: A Latent Transition Analysis

Solitude behaviors encompass four types: positive solitude, eccentricity, social avoidance, and loneliness. These four types of solitude behaviors are not entirely independent but can co-occur within individuals. Thus, the purpose of this study was to explore latent classes of solitude behaviors, their developmental patterns, and relevant influencing factors among college students. The Solitude Behavior Scale-Short Version was administered to a sample of college students. A total of 417 Chinese students completed a three-time longitudinal paper questionnaire. The data analysis was performed using Mplus 8.0 and SPSS 26.0. Harman's single-factor test, latent class analysis (LCA), and latent transition analysis (LTA) were employed for subsequent analysis. The results revealed three classes: low solitude, moderate solitude, and high solitude, which exhibited temporal changes. Social avoidance and loneliness could facilitate transitions between high solitude and moderate solitude. Females and first-grade students exhibited higher transition probabilities than males and students not in the first grade. The incidence of moderate solitude in the not-first-grade group was significantly higher than that in the first-grade group. Finally, this study offers new insights into the dynamics of solitude behaviors and their association with gender and age.

The relationship between nomophobia and latent classes of personality

The phenomenon of nomophobia, defined as the anxiety experienced when a person is without their mobile phone or is unable to use it, has been identified as having serious negative effects on individuals, particularly students. Previous research has explored the relationship between personality traits and nomophobia, but the findings have been inconclusive. The main objective of this study was to classify personality types through latent class analysis and explore the relationship between these personality types and nomophobia. The Chinese version of the Nomophobia Scale and the Chinese brief version of the Big Five Personality Inventory were used in this study to survey 1906 Chinese college students. The results indicated that (1) a four-class model provided the best fit and categorized the personality traits as the overcontrolled class, resilient class, moderate class, and vulnerable class; (2) significant differences were observed between the four personality types and nomophobia, with overcontrolled and resilient personality types consistently scoring significantly lower than moderate and vulnerable personality types. Our finding highlights the key feature of the study.

Glimpse on 21st century new phobias; a predictive model of nomophobia

The main purpose of this study was to examine the explanatory power of a predictive model of nomophobia consisting of rumination, fear of missing out (FoMO), mindfulness and non-pathological compulsions. The research involved a cross-sectional design exploring the prevalence of nomophobia in a Romanian university students' cohort. The quantitative methodology was used to collect and analyse the data obtained from all the respondents. Researchers adapted and pretested the questionnaire NMP-Q, before distributing it to 194 university students. SPSS (V. 20) and Hayes's PROCESS tool were used to analyse the data. The findings demonstrated that the above-mentioned psychological variables have a direct and significant relationship with nomophobia. Specifically, within the multidimensional mechanism that explains nomophobia, fear of missing out (FoMO), non-pathological compulsions, and rumination, included in the predictive model in this order, played the most important role, as together cover 34% of nomophobia variance. Furthermore, the fear of missing out has the highest explanatory contribution to nomophobia. The current study gives a better understanding of the dynamics of nomophobia in young people by focusing on psychological factors that play an important role in this phenomenon.

The effect of fear of missing out on mental health: differences in different solitude behaviors

BACKGROUND

Depression, anxiety, and stress are the main issues that affect the mental health of individuals. Solitude behavior, fear of missing out, and mental health are all closely related.

OBJECTIVE

This study was intended to investigate the relationship between solitude behavior, fear of missing out, and mental health.

METHODS

Short Form of Solitude Behavior Scale, Fear of Missing Out scale, and Depression Anxiety Stress Scale-21 were employed in this study to investigate 616 college students. The collected data were analyzed using SPSS 26.0 for basic data organization, and Mplus 8.3 was used to complete the analysis of the mediation model.

RESULTS

(1) Positive solitude was positively associated with eccentricity and negatively related to loneliness; social avoidance positively correlated with eccentricity and loneliness. (2) Social avoidance and loneliness affected mental health through the mediating effect of fear of missing out, whereas positive solitude and eccentricity did not affect mental health through fear of missing out. Moreover, the results still held in the model with depression, anxiety, and stress as dependent variables.

CONCLUSION

The roles of different solitude behavior in the relationship between fear of missing out and mental health differed. Social avoidance and loneliness as not self-determined solitude could activate the fear of missing out, which could affect mental health.

Development of a Computerized Adaptive Test for Problematic Mobile Phone Use

The great number of mobile phone users in the world has increased in recent years. More time spent on a phone, more negative effects such as problematic mobile phone use. Many researchers have devoted themselves to revise tools to measure problematic mobile phone use better and more precisely. Previous studies have shown that these tools have good reliability and validity, but that most of them have some shortcomings because they were traditional paper-and-pencil tests based on Classical Test Theory (CTT). This study, based on Item Response Theory (IRT) in order to solve these shortcomings, developed Computerized Adaptive Test for problematic mobile phone use (CAT-PMPU) and discussed the performance of CAT-PMPU. Then, we used real data to simulate CAT, and the measurement accuracy and reliability between a paper-and-pencil test and CAT-PMPU were compared under the same test length. The results showed that CAT-PMPU was better than the paper-and-pencil test in all aspects, and that it can reduce the number of items and improve measurement efficiency effectively. In conclusion, the CAT-PMPU was developed in this study has good reliability, and it provided novel technical support for the measurement of problematic mobile phone use. It had a good application prospect.