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.

Shinya Yamanaka

Dr. Shinya Yamanaka is recognized for the generation of induced pluripotent stem cells (iPSCs) from fibroblasts by a combination of multiple transcription factors, and he won the Nobel Prize in Physiology or Medicine in 2012 jointly with Sir John B. Gurdon for this discovery. Twenty years after the discovery, the Cell Reports Medicine editorial team discusses with Dr. Yamanaka the scientific, technical, and translational milestones that have shaped the field of regenerative medicine. We also discuss the role of iPSCs in disease modeling and drug discovery, the interplay with genome editing, and ongoing issues that still prevent the widespread clinical application of iPSC-derived therapies.

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+: With successful trials, Roche takes its MS drug to regulators, but safety questions loom

The Swiss drugmaker Roche on Tuesday presented the latest data for its experimental multiple sclerosis drug, setting the stage for the company to seek approval for a medicine that it believes can cut relapse rates and slow the progressive disability the disease causes.  

Now the test is whether the drug, called fenebrutinib, can win the regulatory green light.

While three late-stage trials of the drug have shown it to be effective, analysts have homed in on some potentially worrying liver safety signals, an issue that previously prompted the Food and Drug Administration to reject an MS therapy developed by Sanofi. In data released Tuesday, researchers also disclosed that there were two drug-related deaths among patients who took fenebrutinib.  

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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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