Stimulant medication and symptom interrelations in children, adolescents and adults with attention-deficit/hyperactivity disorder DOI Creative Commons
Zarah van der Pal, Hilde M. Geurts, Jonas M B Haslbeck

et al.

European Child & Adolescent Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 11, 2024

Abstract Stimulant medication is effective in alleviating overall symptom severity of attention-deficit/hyperactivity disorder (ADHD), yet interindividual variability treatment response and tolerability still exists. While network analysis has identified differences ADHD relations, the impact stimulant remains unexplored. Increased understanding this association could provide valuable insights for optimizing approaches individuals with ADHD. In study, we compared characterized networks (including 18 symptoms) between stimulant-treated ( n = 348) untreated 70) non-ADHD controls (NACs; 444). Moreover, subgroups defined by their trajectory (early-and-intense use, late-and-moderate use). Stimulant-treated showed stronger associations symptoms, NACs. We found no subgroups. Prospective longitudinal studies are needed to disentangle whether stem from or pre-existing factors.

Language: Английский

Network intervention analysis to assess the trajectory of change and intervention effects associated with the use of self-control training for ego depletion aftereffects DOI Creative Commons

Junji Ying,

Xiaofang Zhang, Lei Ren

et al.

BMC Psychology, Journal Year: 2025, Volume and Issue: 13(1)

Published: Jan. 3, 2025

The purpose of this study was to use the advanced technique Network Intervention Analysis (NIA) investigate trajectory symptom change associated with effects self-control training on youth university students' chronic ego depletion aftereffects.

Language: Английский

Citations

0
Examining the Spectrum of Problematic Online Behaviors in Chinese Adolescents: A Network Analysis of Smartphone, Gaming, and Social Media Use DOI Creative Commons
Shuangli Zhang, Tao Sheng, Yanli Zhang

et al.

Computers in Human Behavior, Journal Year: 2025, Volume and Issue: unknown, P. 108611 - 108611

Published: Feb. 1, 2025

Language: Английский

Citations

0
A network analysis of moral distress among clinical internship nursing students: A cross-sectional study DOI
Xiong Yang, Yaqian Fu, Zhuoheng Li

et al.

Nursing Ethics, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Background Moral distress is a significant challenge faced by clinical internship nursing students. Most current studies investigate the impact of external factors on students’ moral distress. However, there lack in-depth exploration interactions between various items. Research objective This study aims to construct network structure among students, while exploring touchpoints sensitivity and resilience distress, identify potential targets for intervention. design A cross-sectional utilized acceptable validity scales. Network analysis was conducted using R (Version 4.4.0). Regularized partial correlation describe associations different nodes in network. Central were identified through centrality indices. Participants research context The participants this are 372 students undergoing internships at comprehensive teaching hospital Changsha, China. Ethical considerations approved ethics committee (Review Number: Express 241098). Written informed consent obtained from all participants. Results In network, connections MD3 “I provide life-sustaining treatment per family’s wishes” MD4 “Despite only extending survival, I implement life-saving measures” strongest. MD18 “Decline service quality due poor team communication,” MD19 ignore situations lacking adequate information consent,” MD17 collaborate with colleagues unable meet patient’s needs” central relational critical connection point linking resilience. Conclusion Future interventions could focus strongly related (MD3, MD4, MD18, MD19, MD20, MD17) mentioned study, develop scientific targeted reduce

Language: Английский

Citations

0
Predicting the outcome of psychotherapy for chronic depression by person‐specific symptom networks DOI
Lea Schumacher, Jan Philipp Klein, Martin Hautzinger

et al.

World Psychiatry, Journal Year: 2024, Volume and Issue: 23(3), P. 411 - 420

Published: Sept. 16, 2024

Psychotherapies are efficacious in the treatment of depression, albeit only with a moderate effect size. It is hoped that personalization can lead to better outcomes. The network theory psychopathology offers novel approach suggesting symptom interactions as displayed person‐specific networks could guide planning for an individual patient. In sample 254 patients chronic depression treated either disorder‐specific or non‐specific psychotherapy 48 weeks, we investigated if predicted observer‐rated severity at end and one two years after termination. Person‐specific were constructed based on time‐varying multilevel vector autoregressive model patient‐rated data. We used statistical parameters describe structure these predict therapy outcome. First, centrality measures predictors. Second, machine learning select strength pairwise associations. found information strongly improved accuracy prediction termination compared common covariates recorded baseline. This was also shown predicting one‐ two‐year follow‐up. Pairwise associations predictors than year later. Replication external validation our findings, methodological developments, work possible ways implementation needed before be reliably clinical practice. Nevertheless, results indicate provide valuable depression.

Language: Английский

Citations

2
A Vicious Cycle? Group-Level Analysis of Intra-Individual Dynamics in Mental Health Variables DOI Creative Commons
Jana Bommer, Brian Schwartz, Christine Klein

et al.

Cognitive Therapy and Research, Journal Year: 2024, Volume and Issue: unknown

Published: July 25, 2024

Abstract Background The network theory of mental disorders asserts the pivotal role feedback loops in psychopathology. We investigated intra-individual dynamics and potential psychological networks their association with long-term outcomes. Methods At beginning COVID-19 pandemic, data from a population-based cohort ( N = 2029) were collected every three days for six months on well-being, worries, fatigue, sleep quality, social integration, activity. Subgrouping—Group Iterative Multiple Model Estimation -was used to estimate time-series individual, subgroup, group levels. Subgroup compared associations subgroup membership sociodemographic health status variables at baseline outcomes follow-up examined. Results Despite large heterogeneity between individuals, loop involving fatigue well-being was identified. Furthermore, two subgroups identified, whereby edges more present 1 than 2. Membership associated lower education fewer people aged over 60 household as well poorer frequent earlier diagnoses follow-up. Conclusions identified might indeed represent vicious cycle thus contribute development However, limitations such limited measurement density made it difficult find temporal call cautious interpretation results.

Language: Английский

Citations

1
A longitudinal network analysis of interaction factors among Chinese women at high risk for perinatal depression DOI
Jun Huang, Yiyang Lin,

Yanqing Fu

et al.

Midwifery, Journal Year: 2024, Volume and Issue: 139, P. 104187 - 104187

Published: Sept. 18, 2024

Language: Английский

Citations

0
Stimulant medication and symptom interrelations in children, adolescents and adults with attention-deficit/hyperactivity disorder DOI Creative Commons
Zarah van der Pal, Hilde M. Geurts, Jonas M B Haslbeck

et al.

European Child & Adolescent Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 11, 2024

Abstract Stimulant medication is effective in alleviating overall symptom severity of attention-deficit/hyperactivity disorder (ADHD), yet interindividual variability treatment response and tolerability still exists. While network analysis has identified differences ADHD relations, the impact stimulant remains unexplored. Increased understanding this association could provide valuable insights for optimizing approaches individuals with ADHD. In study, we compared characterized networks (including 18 symptoms) between stimulant-treated ( n = 348) untreated 70) non-ADHD controls (NACs; 444). Moreover, subgroups defined by their trajectory (early-and-intense use, late-and-moderate use). Stimulant-treated showed stronger associations symptoms, NACs. We found no subgroups. Prospective longitudinal studies are needed to disentangle whether stem from or pre-existing factors.

Language: Английский

Citations

0