This study examined the relationship between being members of social network sites (SNS) and the reasons for their use among individuals who are between 20-66 years of age. Social networking status and virtual loneliness are examined according to reasons for using SNS of participants. Researcher did a web-based questionnaire upon Facebook (FB) and reached a volunteer group of FB users and gave Social Networking Status Scale ( SNSS) and Virtual Loneliness Scale (VELS) in order to measure participants networking status and virtual loneliness according to socio-demographical variables. SNSS, gender, and age are the strongest predictors of virtual loneliness. Also, male participants, SNSS scores are significantly higher than female participants which indicates that male participants are more dependent on SNS. When time spent online increases individuals get convergence to usual habits in the virtual world. Individuals SNS usage habits effects their normal lives and make them escape to the virtual world.

Findings from a research synthesis of the relationships between family needs and parent, family, and child functioning are reported. The synthesis included 31 studies conducted in 12 different countries. The studies were conducted between 1987 and 2021 and included 4,543 participants. Eight different family needs scales or adaptations of the scales were completed by the study participants (mothers, fathers, or grandmothers of children with developmental disabilities, autism spectrum disorders, or medical conditions). The outcome measures included caregiver psychological health, parenting stress, parenting burden, parenting beliefs, family coping strategies, family functioning, family support, and child functioning. The correlations between family needs and the outcome measures were used as the sizes of effects for evaluating the strength of the relationships between measures. Results showed that unmet family needs were associated with more negative and less positive family and family member functioning and fewer unmet family needs were associated with more positive and less negative family and family member functioning. The sizes of effect for parenting stress and burden were larger than were the sizes of effects for each of the other outcome measures. Child condition and study quality moderated the relationship between family needs and parenting stress and burden but not the other outcome measures. The results are discussed in terms of one component of family systems intervention models.

This paper presents an investigation that aims to: 1) explore the relations between core symptoms of adult Attention Deficit and Hyperactivity Disorder (ADHD) and several typical Internet activities, and 2) compare the predictive power of two core symptoms of ADHD- inattention and hyperactivity/impulsivity- in predicting Internet addiction. Methods: A total of 2016 Chinese college students participated in this study. The ADHD symptoms were assessed using Conners self-rating scales and DSM-5 semi-structured interviews. Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (SCID-5) was used to exclude other psychiatric disorders. Chen’s Internet addiction scale (CIAS) was used to evaluate Internet addiction. Information about Internet activities (e.g., online gaming) was collected through a self-constructed questionnaire. Results: The ratio of Internet addiction problems among individuals with ADHD symptoms is significantly higher than in ordinary individuals (48.9% vs. 14.3%). Further, each core ADHD symptom has unique relations with different types of Internet activities. Specifically, both core ADHD symptoms are negatively associated with information downloading and online learning, and positively associated with online gaming, while online shopping is only associated with hyperactivity/impulsivity. Furthermore, both core ADHD symptoms are significant predictors of Internet addiction, especially inattention. Conclusion: College students with ADHD symptoms are at a higher risk of having Internet addiction than peers without ADHD symptoms. For individuals with ADHD symptoms and excessive online gaming and/or online shopping behaviors, the probability of having Internet addiction is even higher. These findings have important implications for identifying risk factors of Internet addiction and preventing Internet addiction in Higher Education settings.

Challenges relating to misuse and abuse of the internet and other mobile devices have become sources of concern among the youth population the world-over. However, research on cyber related issues has been focused mainly on adolescents in Nigeria. This study investigates the influence of cyber bullying, cyber victimization and pathological internet use on psychological well-being among adults. Using a cross sectional research design and a multi-stage sampling technique, 280 university students were selected. A questionnaire on socio-demographic profile cyber intimidation and internet addiction was administered to the participants. Data were analyzed using descriptive statistics and t-test analysis at 0.05 level of significance. Three hypotheses were tested. The results revealed that participants who engage less in cyber bullying were not significantly different in their levels of psychological well-being when compared to their counterparts who engage more in cyber-bullying. Pathological Internet use did not significantly influence the levels of psychological well-being of cyber space addicts. The association between cyber related variables and psychological well-being is crucial for better understanding of their actual effects on human behaviour and for the purpose of designing intervention programmes.

The purpose of this study was to analyze the work situations that education professionals perceived as stressful during the first wave of COVID-19 infections, and their possible variation according to demographic characteristics and working conditions. Empirical, quantitative, ex-post-facto, cross-sectional study was carried out, in which participated 9,058 teachers (86.9% women; M age = 41.08; SD = 8.82) who completed a semi-structured questionnaire of demographic and labor information and a scale of teacher stressors in the context of a pandemic. It was used Multivariate Analysis of Variance (MANOVA) with post hoc Bonferroni contrasts to study the variations in the perception of stress according to demographic and work variables. The MANOVAs indicated significant variations in the perception of stress according to the teachers' gender, age, marital status, having dependents (children and parents), the level of education of the teacher, the employment situation (permanent vs. transitory), teaching seniority, the type of educational management, the number of students in charge and the number of weekly working hours (for all cases, Hotelling's F with p <.001).  

Due to the notably increased penetration of smartphone use among university students and the alarming risk it poses to both physical and mental health, this study investigated mobile phone addiction among university students concerning student characteristics, mobile phone usage behaviors, and mobile phone use purposes and situations. The participants of this study were 600 university students, who were selected according to the convenience sampling method from different departments in Türkiye. The data were collected using the student characteristics form and the Mobile Phone Addiction Scale. The correlational research method was followed in the study. The data were analyzed using descriptive and inferential statistics. The results showed that students clustered as addicted and non-addicted had different mobile phone use behaviors on account of daily smartphone use duration, internet use duration on a smartphone, and daily smartphone check frequency. Being a female at a lower grade level and using mobile phones mostly at night made students more vulnerable to mobile phone addiction. Additionally, the results indicated a significant positive moderate correlation between internet use duration, daily smartphone use duration, daily smartphone check frequency, and mobile phone addiction scores. Lastly, checking social media apps, messaging, and editing photos significantly contributed to mobile phone addiction scores. Among the mobile phone use situations, when getting bored, during lessons, when watching TV or movies, and when being alone significantly contributed to mobile phone addiction scores. This study provided a thorough discussion and a set of recommendations.