A network analysis of short video addiction and inattention symptoms among undergraduate nursing students
Zhang Y, Zhao W, Ma S, Sheng Y
BMC nursing · 0 citas
Etiquetas de revisión
Financiación no declaradaDatos neutrales que nuestra revisión registró sobre cómo se hizo este estudio. Describen el método, nunca si nos gusta el resultado.
Cómo se estudió
- Diseño
- Estudio transversal (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Marcadores de salud y funcionamiento
Quién lo pagó
- Financiación
- Financiación no declarada
Publicación
- Publicado
- 2026-05-22 · BMC Nurs · vol. 25 · número 1
- Editorial
- BioMed Central
- Citado
- 0 citas · más que el 37% de estudios similares · 0.0× el promedio de su campo
- Referencias
- 65 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY-NC-ND
- Áreas de investigación
- Impact of Technology on Adolescents · Mental Health Research Topics · Substance Abuse Treatment and Outcomes
- Palabras clave
- short video addiction, inattention, nursing students, symptom networks, ADHD symptoms, intervention simulation, prevention targets, student mental health, academic performance
4 autores
- Yu Zhang🇨🇳Chinese Academy of Medical Sciences & Peking Union Medical College
- Wei Zhao🇨🇳Xi'an Jiaotong University
- Shanshan Ma🇨🇳Xi'an Jiaotong University
- Yu Sheng🇨🇳 · autor de correspondenciaChinese Academy of Medical Sciences & Peking Union Medical College
Resumen
El texto original del estudio, en el idioma en que se publicó.
Background
Short video addiction is prevalent among nursing students and frequently coexists with inattention, and their comorbidity may exert substantial impacts on academic performance and mental health.
Aim
This study aimed to (1) identify central symptoms within the short video addiction and inattention symptom network, (2) detect bridge symptoms connecting distinct symptom clusters, and (3) simulate interventions to explore potential intervention and prevention targets.
Methods
A multi-center cross-sectional survey was conducted between August and December 2025, involving 456 undergraduate nursing students from four nursing colleges in China. The research employed several tools, including a general information questionnaire, the revised Chinese Internet Addiction Scale, and the Inattention subscale of the Adult ADHD Self-Report Scale. Network analysis was used to construct symptom networks and identify central and bridge symptoms, while the NodeIdentifyR algorithm was applied to simulate alleviating and aggravating interventions on each node to examine projected effects on overall network symptom activation.
Results
Network analysis revealed that "Compulsive Use and Withdrawal" emerged as the most central symptom in the network, while "Interpersonal and Health Problems" served as the primary bridge symptom. Alleviating interventions suggested that decreasing the symptom value of "Compulsive Use and Withdrawal" resulted in the greatest projected reduction in network symptom activation. Aggravating interventions indicated that elevating the symptom value of "Does not listen" had the most projected increase in network activation.
Conclusions
This study highlights the importance of attending to "Compulsive Use and Withdrawal" and "Interpersonal and Health Problems" in the comorbidity of short video addiction and inattention among nursing students, and reveals that "Does not listen" may be a prevention target based on simulation results. These findings deepen our understanding of the network of short video addiction and inattention symptoms among undergraduate nursing students. These findings may offer useful insights for nursing educators and researchers to further explore this comorbidity and its implications for students' well-being and academic performance.
Clinical trial number
Not applicable.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY-NC-ND).
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