Background: Pornography use may become problematic for 1 to 6% of the people and may be associated with adverse consequences leading to treatment-seeking behavior. Although the identification of the central symptoms of problematic pornography use (PPU) may inform treatment strategies, no prior study has applied the network approach to examine the symptoms of PPU. Aim:The aims of the present study were to explore the network structure of PPU symptoms, identify the topological location of pornography use frequency in this network, and examine whether the structure of this network of symptoms differs between participants who considered and those who did not consider treatment.Methods: A large-scale online sample of 4,253 men (Mage = 38.33 years, SD = 12.40) was used to explore the structure of PPU symptoms in two distinct groups: Considered treatment group (n = 509) and Not considered treatment group (n = 3,684).Outcomes: Participants completed a self-report questionnaire about their past-year pornography use frequency and PPU measured by the short version of the Problematic Pornography Consumption Scale (PPCS-6). Results:The global structure of symptoms did not differ significantly between the Considered treatment and the Not considered treatment groups. Two clusters of symptoms were identified in both groups, with the first cluster including salience, mood modification, and pornography use frequency, and the second cluster including conflict, withdrawal, relapse, and tolerance. In both groups' networks, salience, tolerance, withdrawal, and conflict appeared as central symptoms, while pornography use frequency was the most peripheral symptom. However, mood modification had a more central place in the Considered treatment group's network and a more peripheral position in the Not considered treatment group's network. NETWORK OF PROBLEMATIC PORNOGRAPHY USE 4Clinical Translation: Based on the results of the centrality analysis in the Considered treatment group, targeting salience, mood modification, and withdrawal symptoms first in the treatment may be an effective way of reducing PPU. Strengths & Limitations:The present study appears to be the first to analyze the symptoms of PPU using a network analytic approach. Self-reported measures of PPU and pornography use frequency might have introduced some biases. Conclusion:The network of PPU symptoms was similar in participants who did and those who did not consider treatment because of their pornography use, with the exception of the mood modification symptom. Targeting the central symptoms in the treatments of PPU seems to be more effective than focusing on reducing pornography use.

Although research in older individuals' sexual health is steadily increasing, the nature of, and predictors related to, their distress about changes in sexual function have not been wellstudied. Using data from sexually active and partnered 1,047 Norwegian and Danish women and men aged 60-75 years, this study employed network analysis to explore the structure of older individuals' sexual distress and the role of emotional intimacy. Men's network of sexual distress facets was more densely interconnected than women's network. Higher emotional intimacy was associated with lower sexual distress levels across gender. The findings have implications for sexual health interventions targeting older people.

Mrežni pristup predstavlja novu paradigmu u proučavanju odnosa između psiholoških konstrukata i manifestnih varijabli. Prema tome pristupu varijable tvore autonomni dinamički sustav, a konstrukt se ne promatra kao njihov uzrok, već kao rezultat njihove kompleksne međusobne interakcije. Analitički se taj pristup zasniva na metodi mrežne analize koja modelira varijable kao čvorove povezane skupom bridova. Ovaj rad predstavlja svojevrsni pregled skupa postupaka u mrežnoj analizi, odnosno nudi njihovo pojašnjenje te njihovu praktičnu primjenu na dvama različitim setovima podataka. Prvi set podataka predstavlja rezultate na upitniku DASS-21 (N = 1016) i u okviru njega demonstrirani su procjena parametara mreže, izračun mjera centralnosti čvorova, identifikacija klastera u mreži te provjera stabilnosti parametara. Rezultati pokazuju da najveću centralnost imaju čestica depresivnosti Osjetio/la sam kao da se nemam čemu radovati, čestica anksioznosti Osjetio/la sam da sam blizu panici i čestica stresa Osjećao/la sam se jako nervozno. Čvorovi mreže očekivano su se grupirali u tri klastera koji sadržajno reprezentiraju Depresivnost, Anksioznost i Stres. Analize stabilnosti pokazale su ograničenu stabilnost bridova, dok je stabilnost centralnosti čvorova ovisila o korištenoj mjeri. U drugome istraživanju, koje sadrži podatke o stavovima adolescenata prema izgledu vlastitoga tijela, prikazan je Test usporedbe mreža usporedbom mreže adolescenata (n = 524) i adolescentica (n = 763). Rezultati pokazuju da se dvije mreže komponenata stava o izgledu vlastitoga tijela ne razlikuju supstancijalno.