The identification of predictors of treatment response is crucial for improving treatment outcome for children with anxiety disorders. Machine learning methods provide opportunities to identify combinations of factors that contribute to risk prediction models.

A machine learning approach was applied to predict anxiety disorder remission in a large sample of 2114 anxious youth (5–18 years). Potential predictors included demographic, clinical, parental, and treatment variables with data obtained pre-treatment, post-treatment, and at least one follow-up.

All machine learning models performed similarly for remission outcomes, with AUC between 0.67 and 0.69. There was significant alignment between the factors that contributed to the models predicting two target outcomes: remission of all anxiety disorders and the primary anxiety disorder. Children who were older, had multiple anxiety disorders, comorbid depression, comorbid externalising disorders, received group treatment and therapy delivered by a more experienced therapist, and who had a parent with higher anxiety and depression symptoms, were more likely than other children to still meet criteria for anxiety disorders at the completion of therapy. In both models, the absence of a social anxiety disorder and being treated by a therapist with less experience contributed to the model predicting a higher likelihood of remission.

These findings underscore the utility of prediction models that may indicate which children are more likely to remit or are more at risk of non-remission following CBT for childhood anxiety.

The coronavirus disease 2019 (COVID-19) pandemic deleteriously impacted physical and mental health. In the summer of 2020, return-to-learn plans were enacted, including virtual, hybrid, and in-person plans, impacting educators and students. We examined (1) how return-to-learn plan was related to depressive and social anxiety symptoms among educators and (2) how psychological flexibility related to symptoms.

Educators (N = 853) completed a survey via Qualtrics that assessed internalizing symptoms, psychological flexibility, and occupational characteristics. Two one-way analyses of variance (ANOVAs) examined between-group differences in return-to-learn plans across depression and social anxiety. Two hierarchical linear regressions examined the relation between psychological flexibility components and depressive and social anxiety symptoms.

Median T-scores were well above the national normative means for General Depression (median T-score: 81) and Social Anxiety (median T-score: 67). There were no significant differences between reopening plans in general depression nor social anxiety T-scores. Psychological flexibility accounted for 33% of the variance in depressive symptoms and 24% of the variance in social anxiety symptoms.

Results indicated high levels of psychiatric symptoms among educators during COVID-19, and psychological flexibility was associated with lower symptoms. Addressing educator mental health is of utmost importance in future research.

Background of behavioral addictions, which include smartphone addiction, is complicated and unclear. Belonging to an Internet community that shows many forms of virtual pathology and generates new, artificial trends also favors the development of mental implications which include lowered mental immunity, emotional lability, increased depressiveness, aggression, inadequate self-esteem, lowered self-value and personality disorders. Implications regarding the social sphere are above all related to the gradual alienation from the closest environment as a result of preoccupation with the subject of dependence. Those consequences include deterioration of social relations, loss of interpersonal skills and former interests, as well as the minimization of contacts with the closest ones which lead to the sense of social isolation and loneliness.

The aim of this study was to estimate the scale of mobile phone addiction among young adults as well as to establish whether the low level of perceived social support is related to the problematic smartphone use, and whether an addictive pattern of smartphone use is related to the prevalence of depressiveness and excessive daytime sleepiness.

The study involved 567 young-adult respondents from West Pomeranian Voivodship in Poland. The study was carried out using the diagnostic poll method via questionnaire technique. Both the author’s own questionnaire and the following standardized research tools were used: the Mobile Phone Problem Use Scale for Adolescents (MPPUSA), the Beck Depression Inventory (BDI), the Epworth Sleepiness Scale (ESS), the Multidimensional Scale of Perceived Social Support (MSPSS).

Perceived social support was significantly lower in the group of respondents who problematically used their smartphones in comparison with the ones who used them in a correct way (p < 0.05). Severity of depressive symptoms and daytime sleepiness (p < 0.05) was significantly greater in respondents addicted to their mobiles in comparison with non-addicted ones.

The scale of the mobile phone addiction phenomenon in respondents was low. Many respondents though expressed a subjective sense of being addicted to their smartphones in comparison with the obtained results. Problematic smartphone use concerns to the same degree members of both sexes, residents of villages and cities, as well as singles and ones in relationships (both formal and informal). The mobile phone addiction is associated with the risk of severe symptoms of depression and excessive daytime sleepiness. Pathologic pattern of smartphone use much more frequently concerned individuals who perceived their social support level as low.

None Declared

The rapid development of civilization is accompanied by many changes affecting human functioning. Technological development, wide access to positive stimuli and the neglect of emotional control and self-awareness in the learning process make it difficult for individuals to control their behavior. Such a loss of control is associated with the development of addictions. Therapists, doctors and researchers more and more often encounter cases of compulsive behavior focused on a specific activity - apart from gambling or playing computer or internet games, more and more often the subjects of preoccupation are compulsive shopping, sexual activities and work (workaholism).

The aim of the research was to try to define the mediating role of depression in the relationship between addiction to shopping and work and loneliness, understood in terms of general loneliness among Polish women.

The study was conducted among 556 women. The research was carried out with the use of the diagnostic survey method, using the questionnaire technique: the De Jong Gierveld Loneliness Scale, the Purchasing Behavior Scale, the Work Addiction Risk Test, Beck Depression Inventory and a questionnaire of our authorship.

Depressiveness is a mediator in the relationship between the feeling of loneliness and the degree of addiction to shopping (β = -0.0246, z = -2.03, p = 0.043) and in the relationship between the feeling of loneliness and the degree of addiction to work (β = -0.0722, z = -4.002, p < 0.001). The direct impact of the feeling of loneliness on the degree of addiction to shopping (p = 0.237) and work (p = 0.576) is statistically insignificant.

In the mediation model adopted, it was shown that depressiveness plays the role of a mediator between the feeling of loneliness and the degree of addiction to shopping and work. The increase in the level of depression increased the degree of addiction to shopping and work. The mediator’s participation lowered the level of the feeling of loneliness. Loneliness was not a significant predictor of addiction to shopping and work. There is a need to include activities aimed at identifying psychological factors influencing the occurrence of addictions to shopping and work among women. It seems important to be able to use psychological help when needed. It is also necessary to take institutional preventive measures to prevent the occurrence of behavioral addictions among women.

None Declared

Healthcare workers are exposed to increased risks of insomnia and aggression during the COVID-19 pandemic.

The aim of the study was to estimate the prevalence rate of insomnia and aggression and identify associated risk factors among healthcare workers during the COVID-19 pandemic

A total of 264 healthcare workers participated in the study. The study was conducted with the diagnostic survey method, using the Buss-Perry Aggression Questionnaire, the Athens Insomnia Scale, the Pittsburgh Sleep Quality Index, and a questionnaire of our authorship.

The vast majority of the respondents (81.06%) suffered from insomnia and had poor sleep quality (78.03%). Education (p=0.038), marital (p=0.043) and parental status (p=0.004), and contact with patients suffering from COVID-19 (p=0.024) were statistically significant contributors to insomnia. Working time was found to significantly correlate with insomnia (r=0.124 p=0.044) and a physical aggression (r=0.168 p=0.006), anger (r=0.121 p=0.05), a verbal aggression (r=-0.132 p=0.032). Age was found to significantly correlate with total aggression (r=-0.133 p=0.031), verbal aggression (r=-0.138 p=0.025), anger (r=-0.151 p=0.014). Sex was found to be statistically significantly related to physical aggression (p=0.017), anger (p=0.032), and hostility (p=0.002).

A considerable proportion of HCWs experienced sleep disorders during the pandemic, emphasizing the need to establish ways to reduce long-term adverse outcomes associated with chronic insomnia and adjust interventions under pandemic conditions. Our findings confirm that insomnia and poor sleep quality are consistently associated with aggression.

None Declared

Behavioral addictions are a growing problem in the society. Digital technologies are used by people of different ages, and their number is increasing every year. The precise reasons for the development of addictions remain unknown. In the case of behavioral addictions, especially Internet addiction, the significance of personality traits and behaviors predisposing an individual to addiction, such as depressiveness, anxiety, hostile attitude, aggression, impulsiveness, psychotic behaviors, shyness and self-esteem disorders, are emphasized. Personality predispositions play an essential role in Internet addiction.

The aim of this study was a general assessment of the level of Internet addiction with regard to personality traits according to the Big Five model by Costa and McCrae among women from the West Pomeranian Voivodeship.

The study involved 556 women, whose average age was 34 years and who met the inclusion criteria: female sex, age of 18 years or above, place of residence in the West Pomeranian Voivodship, an informed consent for participation in the study, and completion of the set of questionnaires. The study was conducted using a diagnostic poll method with a questionnaire technique. To carry out the analysis both author’s own and standardized tools were used: the author’s questionnaire covering socio-demographic data, the NEO-Five Factor Inventory which assesses the levels of personality traits, and the Internet Addiction Test used to measure behaviors and characteristics related to compulsive use of the Internet.

Most (70.9%) of the women were average users of the Internet, 25% of respondents were at risk of addiction, and the least numerous group of women (4.1%) was addicted to the Internet. Conscientiousness negatively correlated with Internet addiction (r = -0.22; p < 0.001; R2 = 4.9%). Openness to experience was conducive to Internet addiction (r = 0.15; p < 0.001; R2 = 11.1%). A positive link between neuroticism and Internet addictions was established (r = 0.33; p < 0.001; R2 = 11.1%). No significant relationships between Internet addiction and extraversion (r = 0.03; p = 0.45) as well as agreeableness (r = -0.07; p = 0.10) were demonstrated.

The type of personality of the studied women implicated relationships to Internet addiction. Neuroticism might be a personality trait that particularly predisposes to an increased risk of Internet addiction. Openness to experience was conducive to Internet Addiction. Low levels of conscientiousness more often become addicted to the Internet.

None Declared

Social network addicts may differ significantly from non-addicts in terms of personality traits, such as agreeableness, neuroticism, and conscientiousness. Addicts may be prone to negative emotions and unpleasant experiences, which may be associated with a higher level of neuroticism. Addicts often fail to cope in the real world, often experience negative emotions, quickly give up their goals, see themselves and others in a negative light, and escape into virtual reality. The virtual world is devoid of the anxiety that an individual faces in real life interactions, hence the tendency for addiction among people with higher levels of neuroticism. The primary cause of Internet Addiction may be innate temperamental traits (i.e., impulsiveness of behavior and impulsiveness of decisions) that influence the susceptibility to functional and chemical addictions. According to the concept of addictive personality, people who have this problem are prone to addiction as such, regardless of what they are addicted to.

The purpose of this study was to generally assess the degree of women’s dependence on social networking sites on the example of Facebook, taking into account personality traits according to the five-factor model of personality, the so-called Big Five by Costa and McCrae

The study included 556 women. This survey-based study was carried out using the questionnaire technique. The following research tools were used to analyze behavioral addictions in adult women: the Bergen Face- book Addiction Scale (BFAS), the NEO Five-Factor Inventory (NEO FFI) and the author’s questionnaire.

Among the surveyed women, 69.6% were average Facebook users, of whom 16.4% had scores indicating possible Facebook addiction, and 14.0% had scores indicating addiction. The higher the neuroticism, the more serious the Facebook addiction (r = 0.26; p < 0.001; R2 = 6.7%). A weak negative correlation was obtained for the agreeableness subscale e (r = -0.08; p < 0.05; R2 = 7.2%). A weak negative correlation was also obtained for the subscale of conscientiousness (r = -0.16; p < 0.001; R2 = 2.6%). There was no statistically significant correlation between the log10 score obtained on the BFAS and the score on the NEO-FFI subscales of extraversion (r = 0.04; p = 0.40) and openness to experience (r = 0.04; p = 0.30).

The personality types of the studied women indicated relationships in terms of behavioral addictions. Women characterized by neuroticism showed stronger addiction to Facebook. Women characterized by high conscientiousness were at lower risk of behavioral addictions, while agreeableness as a personality trait significantly protected the surveyed women against Facebook addiction.

None Declared

When speaking of behavioral addictions (especially to the Internet and social media), it is emphasized that it is not the environment that is the main contributor to addiction, but rather certain behaviors and personality traits.

The aim of this study was to assess the level of Internet and social media addiction on the example of Facebook with regard to psychological and social factors.

This survey-based study involved a group of women representing the female population in the West Pomeranian Voivodeship, Poland (N = 556). Research instruments were a self-developed questionnaire concerning sociodemographic data, the De Jong Gierveld Loneliness Scale, the Beck Depression Inventory, the Internet Addiction Test, and the Bergen Facebook Addiction Scale.

Age, depressive symptoms, loneliness were the variable contributing to Internet and Facebook addiction among the studied. Available studies confirm the results of their own research.

Depressive symptoms and dependence on the Internet and Facebook were more common among single women. In the employed women, we only observed higher levels of Internet and Facebook addiction. The level of dependence on the Internet and Facebook was higher among younger women. Loneliness correlated with Internet and Facebook addiction, and more severe depressive symptoms entailed higher levels of Internet and Facebook addiction.

No significant relationships.

Psychological health problems, especially emotional disorders, have become an important topic of considerations for many scientists, because the epidemiology of these disorders is strongly influenced by stressful events, such as the SARS-CoV-2 coronavirus pandemic.

The aim of this study was to evaluate selected parameters of psychosocial functioning as well as socio-demographic correlates of depression, anxiety, sleep disorders and perceived stress among the residents of the West Pomeranian Voivodeship.

An online questionnaire was completed by 323 participants, in whom the parameters of psychosocial functioning were assessed: symptoms of depression (PHQ-9), anxiety (GAD-7), severity of sleep disorders (AIS) and perceived stress (Perceived Stress Scale).

The majority of the respondents (75.2%) scored high on the Perceived Stress Scale, almost half of the respondents (47.1%) had sleep disorders and 26% of the participants had no depressive symptoms. Age statistically significantly correlated with the severity of depressive symptoms and sleep disorders. Parental status statistically significantly correlated with the severity of depressive symptoms. There was a strong correlation between the severity of depression and anxiety and a strong correlation between depression and sleep disorders.

Age and parental status contributed to the severity of depressive symptoms and the occurrence of sleep disorders among the residents of the West Pomeranian Voivodeship during the SARS-CoV-2 pandemic. Some of the residents of the West Pomeranian Voivodeship showed high levels of stress or insomnia. The severity of depressive symptoms significantly influenced the levels of anxiety and perceived stress, as well as the occurrence of sleep disorders.

No significant relationships.

1. (1) To date, DBT treatment literature has focused almost exclusively on cisgender women, with only two of 253 DBT studies in current literature accounting for transgender and gender diverse (TGD) individuals.

2. (2) Recognize how gender minority stress may impact the prevalence of BPD among TGD individuals.

3. (3) Learn how future research initiatives can be employed to rectify this gap in the DBT literature.