Internet addiction among nursing students: application of latent profile analysis and network analysis

BackgroundInternet addiction is widely reported and heterogeneous among nursing students. However, variable-centered approaches may not fully capture profile differences and core symptom patterns, potentially limiting precise interventions. Therefore, identifying distinct profiles and key symptoms is important for informing effective prevention.ObjectiveThis study aims to identify distinct internet addiction profiles among nursing students, explore the characteristics and core symptoms of these profiles, and investigate the factors associated with their variation.MethodsA cross-sectional survey was conducted among undergraduate nursing students from September to November 2025. Latent profile analysis (LPA) and network analysis were performed to characterize the patterns of problematic internet use across identified profiles.ResultLatent Profile Analysis revealed four distinct problematic internet use profiles: No-Problematic Internet Use Profile (17.895%), Low-Problematic Internet Use Profile (41.957%), Moderate-Problematic Internet Use Profile (26.676%), and High-Problematic Internet Use Profile (13.472%). Multinomial logistic regression identified gender, monthly household income, and physical activity as significant factors associated with profile membership. Network analysis highlighted central symptoms specific to each profile: Health-related problems (RP-IH) and compulsive internet use and withdrawal symptoms (Sym-C & Sym-W) exhibited the highest centrality within the Moderate- and High-Problematic Internet Use Profiles.ConclusionInternet addiction among undergraduate nursing students is a heterogeneous phenomenon that can be categorized into four distinct profiles. Our findings clarify key associated factors and identify central symptoms specific to each profile, potentially providing an empirical basis for nursing educators to develop targeted psychological interventions.

Out-of-frame CBX3::ALK fusion drives ALK activation and therapy response

Hang et al. identify an out-of-frame CBX3::ALK fusion in metastatic melanoma that generates functional ALK isoforms through alternative translation start sites. This study demonstrates that rare noncanonical out-of-frame fusions can be oncogenic and therapeutically actionable, highlighting an analytic blind spot in current gene fusion detection pipelines.

STAT+: From Revolution Medicines, more strong data on KRAS drug and a glimpse of a ‘novel class’ beyond it

SAN DIEGO — Revolution Medicines is already cooking up the next iteration of RAS inhibiting drugs.

At the American Association of Cancer Research annual meeting here, the company is the talk of the town for the clinical trial success of daraxonrasib, its next generation targeted therapy, in advanced pancreatic cancer. And while the company presented more data on that drug Tuesday, showing promising first line and combination data on daraxonrasib, scientists also showed in another session intriguing preclinical data on a completely new compound that may represent what comes after the current lineup.

That drug, currently called RM-055, is what RevMed CEO Mark Goldsmith is calling an entirely “novel class of catalytic inhibitors.” These are targeted therapies that not only block the RAS signaling that drives cancer, but molecularly turn the cancer protein off.  

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STAT+: Kyverna Therapeutics plans to submit cell therapy for stiff person syndrome for FDA approval

A one-time, personalized cell therapy from Kyverna Therapeutics improved mobility and reduced disabilities in patients with stiff person syndrome, a rare, neurological autoimmune disorder, according to study results presented Tuesday.

Kyverna intends to submit the treatment to the Food and Drug Administration by the middle of the year. If approved, it would become the first treatment for stiff person syndrome and the first personalized CAR-T therapy for an autoimmune disease of any kind to reach the market. 

Currently, CAR-T treatments are approved only for blood cancers, but using engineered T cells to deplete B cells — essentially performing an immune system reset inside a patient — has pushed a growing number of biotech companies to shift their CAR-T focus to autoimmune diseases. 

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