New Perspective on Digital Well-Being by Distinguishing Digital Competency From Dependency: Network Approach (Preprint) DOI
Si Chen, Omid V. Ebrahimi, Cecilia Cheng

и другие.

Опубликована: Дек. 23, 2024

BACKGROUND In the digital age, there is an emerging area of research focusing on well-being (DWB), yet conceptual frameworks this novel construct are lacking. The current conceptualization either approaches concept as absence ill-being, running risk pathologizing individual use, or follows general subjective framework, failing to highlight complex nature at play. OBJECTIVE This preregistered study aimed address gap by using a network analysis, which examined strength relationships among affective (digital stress and web-based hedonic well-being), cognitive (online intrinsic needs satisfaction), social connectedness state empathy) dimensions DWB their associations with some major protective factors (ie, emotional regulation, nomophobia, literacy, self-control, problematic internet coping styles, online exposure). METHODS participants were 578 adults (mean age 38.7, SD 13.14 y; 277/578, 47.9% women) recruited from United Kingdom States who completed survey. Two models estimated. first one assessed multiple DWB, second between related factors. RESULTS 2 resulting structures demonstrated high stability, correlation stability coefficients being 0.67 for 0.75 regularized Gaussian graphical models. indicated that all variables positively related, except stress, was negatively correlated most central node—online satisfaction. revealed distinct communities: <i>digital competency</i> dependency</i>. Emotional regulation emerged node highest bridge expected influence, associated emotion-focused in cluster avoidant dependency</i> cluster. addition, demographic differences observed. Women scored higher nomophobia (<i>χ</i><sup>2</sup><sub>4</sub>=10.7; <i>P</i>=.03) (<i>χ</i><sup>2</sup><sub>4</sub>=14.9; <i>P</i>=.01), while men literacy (<i>χ</i><sup>2</sup><sub>4</sub>=15.2; <i>P</i>=.01). Compared older counterparts, younger individuals lower both (Spearman ρ=0.27; <i>P</i>&lt;.001) self-control ρ=0.35; ρ=−0.14; use ρ=−0.25; <i>P</i>&lt;.001). CONCLUSIONS analysis how different aspects interconnected, component influential. adaptive strategies pivotal distinguishing competency dependency.

Язык: Английский

Network analysis: An overview for mental health research DOI Creative Commons
Giovanni Briganti, Marco Scutari, Sacha Epskamp

и другие.

International Journal of Methods in Psychiatric Research, Год журнала: 2024, Номер 33(4)

Опубликована: Ноя. 14, 2024

Abstract Network approaches to psychopathology have become increasingly common in mental health research, with many theoretical and methodological developments quickly gaining traction. This article illustrates contemporary practices applying network analytical tools, bridging the gap between concepts their empirical applications. We explain how we can use graphs construct networks representing complex associations among observable psychological variables. then discuss key models, including dynamic networks, time‐varying models derived from panel data, intervention analysis, latent moderated models. In addition, Bayesian role causal inference a focus on cross‐sectional data. After presenting different methods, theories meaningfully inform each other. conclude discussion that summarizes insights technique provide research.

Язык: Английский

Процитировано

12
Sex Hormones and Serotonin 4 Receptor Brain Binding in Men with and without Major Depressive Disorder DOI Creative Commons
Malene Ravn Aarestrup, Kristian H. R. Jensen, Søren Vinther Larsen

и другие.

Neuroscience Applied, Год журнала: 2025, Номер unknown, С. 105517 - 105517

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Idiographic Lapse Prediction with State Space Modeling: Algorithm Development and Validation (Preprint) DOI Creative Commons
Eric Pulick, John J. Curtin, Yonatan Mintz

и другие.

Опубликована: Март 6, 2025

BACKGROUND Many mental health conditions (e.g., substance use or panic disorders) involve long-term patient assessment and treatment. Growing evidence suggests that the progression presentation of these may be highly individualized. Digital sensing predictive modeling can augment scarce clinician resources to expand personalize care. This manuscript discusses techniques process data into risk predictions, for instance lapse a with alcohol disorder (AUD). Of particular interest are idiographic approaches fit personalized models each patient. OBJECTIVE bridges two active research areas in health: prediction time-series modeling. Existing work has focused on machine learning (ML) classifier approaches, typically trained at population level. In contrast, psychological explanatory relied techniques. The authors propose state space (SSMs), an framework, as alternative ML classifiers prediction. METHODS used 3-month observational study participants (N=148) early recovery from AUD. Using once-daily ecological momentary assessments (EMA), SSMs compared their performance logistic regression gradient-boosted classifiers. Performance was evaluated using area under receiver operating characteristic curve (auROC) three tasks: same-day lapse, within 3 days, 7 days. To mimic real-world use, changes auROC when were given access increasing amounts participant’s EMA (15, 30, 45, 60, 75 days). Bayesian hierarchical compare benchmark techniques, specifically analyzing posterior estimates mean model auROC. RESULTS Posterior strongly suggested had best all tasks 30+ days participant data. With 15 data, results varied by task. probabilities (first quartile, median, third quartile), (.877, .997, .999), (.992, .999, (.995, .998, .999). .732, <.001, <.001. CONCLUSIONS compelling traditional support fitting, even rare outcomes, offer better than existing approaches. Further, estimate patient’s behavior, making them ideal stepping beyond frameworks optimal treatment selection administered digital therapeutics platform). While AUD is case study, this SSM framework readily applied other conditions.

Язык: Английский

Процитировано

0
Symptom network analysis of prefrontal seizures DOI Creative Commons
Christophe Gauld, Fabricē Bartolomei, Jean‐Arthur Micoulaud‐Franchi

и другие.

Epilepsia, Год журнала: 2025, Номер unknown

Опубликована: Март 19, 2025

Abstract Objective Prefrontal seizures pose significant challenges in accurately identifying the complex interactions between clinical manifestations and brain electrophysiological activities. This proof‐of‐concept study aims to propose a new approach rigorously support electroclinical reasoning field of epilepsy. Methods We analyzed stereoelectroencephalographic data from 42 patients with drug‐resistant focal epilepsy, whose involved prefrontal cortex at seizure onset. Semiological activities features were scored by expert observers. performed symptom network analysis semiological feature hybrid analysis, coupling ictal Centrality measures used identify most influential networks. Results Our identified impairment consciousness as central network. In network, anterior cingulate area (here incorporating Brodmann [BA]‐32 and/or rostral part BA‐24) emerged activity feature. Significance By integrating into networks, offers an effective quantitative tool for examining relationships semiology correlates seizures. provides opportunity advance novel investigate intricacies correlations, sustaining development dynamic models, on different series epilepsies, larger cohorts, automatically extracted artificial intelligence, that better reflect temporal spatial complexities propagation

Язык: Английский

Процитировано

0
New Perspective on Digital Well-Being by Distinguishing Digital Competency From Dependency: Network Approach DOI Creative Commons
Si Chen, Omid V. Ebrahimi, Cecilia Cheng

и другие.

Journal of Medical Internet Research, Год журнала: 2025, Номер 27, С. e70483 - e70483

Опубликована: Март 25, 2025

Background In the digital age, there is an emerging area of research focusing on well-being (DWB), yet conceptual frameworks this novel construct are lacking. The current conceptualization either approaches concept as absence ill-being, running risk pathologizing individual use, or follows general subjective framework, failing to highlight complex nature at play. Objective This preregistered study aimed address gap by using a network analysis, which examined strength relationships among affective (digital stress and web-based hedonic well-being), cognitive (online intrinsic needs satisfaction), social connectedness state empathy) dimensions DWB their associations with some major protective factors (ie, emotional regulation, nomophobia, literacy, self-control, problematic internet coping styles, online exposure). Methods participants were 578 adults (mean age 38.7, SD 13.14 y; 277/578, 47.9% women) recruited from United Kingdom States who completed survey. Two models estimated. first one assessed multiple DWB, second between related factors. Results 2 resulting structures demonstrated high stability, correlation stability coefficients being 0.67 for 0.75 regularized Gaussian graphical models. indicated that all variables positively related, except stress, was negatively correlated most central node—online satisfaction. revealed distinct communities: competency dependency. Emotional regulation emerged node highest bridge expected influence, associated emotion-focused in cluster avoidant dependency cluster. addition, demographic differences observed. Women scored higher nomophobia (χ24=10.7; P=.03) (χ24=14.9; P=.01), while men literacy (χ24=15.2; P=.01). Compared older counterparts, younger individuals lower both (Spearman ρ=0.27; P<.001) self-control ρ=0.35; ρ=−0.14; use ρ=−0.25; P<.001). Conclusions analysis how different aspects interconnected, component influential. adaptive strategies pivotal distinguishing

Язык: Английский

Процитировано

0
Core Supportive Care Needs of Ostomy Patients at Different Postoperative Times: A Network Analysis DOI Open Access
Xu Zhang,

J. W. Liu,

Xiaomeng Wang

и другие.

Journal of Clinical Nursing, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

To identify the core supportive care needs of ostomy patients across postoperative period using network analysis to inform targeted interventions. This cross-sectional study was conducted according STROBE guidelines. included 588 from three tertiary Grade-A hospitals in China between December 2023 and March 2024. Supportive were assessed an adapted version short form Care Needs Survey. Data analysed descriptive statistics, one-way ANOVA explore interconnections centrality symptoms four periods (< 1, 1-3, 4-6 > 6 months). varied significantly undergoing ostomy. The Stoma Support domain consistently achieved highest scores all stages. Central differed by period, featuring 'feeling down or depressed' 1 month), 'acquiring knowledge stoma complication management' (1-3 months), 'gaining bag prices extended use' (4-6 months) 'keeping a positive outlook' (> vary periods, with identifying stage-specific symptoms. These findings provide foundation for Tailored, strategies are crucial addressing dynamic patients. Early psychological support, mid-recovery practical guidance long-term resilience-building interventions can improve patient outcomes. None.

Язык: Английский

Процитировано

0
Mapping the Relationships between Dimensions of Child Anxiety, Parental Anxiety, and Family Accommodation: A Network Analysis DOI
Pedro Macul Ferreira de Barros, Luís C. Farhat, Natália Polga

и другие.

Child Psychiatry & Human Development, Год журнала: 2025, Номер unknown

Опубликована: Март 27, 2025

Язык: Английский

Процитировано

0
Network structure of common mental health problems and life satisfaction in a Japanese population DOI Creative Commons

Shota Noda,

Motohiro Nishiuchi,

Maaya Kobayashi

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 10, 2025

Poor life-satisfaction, feelings of loneliness, depression, and anxiety are commonly reported in the Japanese general population. The aim this study was to examine network structure these common mental health problems a sample explore differences between males females. Participants (N = 476; 235 males, 241 females) were recruited from population completed questionnaires measure levels anxiety, life satisfaction. A psychometric analysis conducted using Gaussian Graphical Model, comparison test (NCT) performed evaluate overall consistency global connectivity. identified relaxing, sad mood, isolation, poor satisfaction as central nodes network. NCT revealed no significant male female networks well However, strength values for restlessness tiredness significantly higher than There connectivity psychopathology Problems being isolated others, contribute may be potential intervention targets.

Язык: Английский

Процитировано

0
The Sleep Condition Indicator and the Idiopathic Hypersomnia Severity Scale: Measurement Invariance and an Exploratory Network Approach in a French Sample of University Students DOI Creative Commons
Sophie Bayard, Julie Faccini, Jonathan Del‐Monte

и другие.

Journal of Sleep Research, Год журнала: 2025, Номер unknown

Опубликована: Апрель 10, 2025

ABSTRACT Insomnia and hypersomnolence symptoms are prevalent among university students, yet their assessment methods face limitations, the relationship between these remains underexplored. We examined structural invariance of Sleep Condition Indicator (SCI) Idiopathic Hypersomnia Severity Scale (IHSS) in students. In addition, we proposed a network approach to insomnia symptoms. A total 433 students underwent clinical interview for sleep socio‐demographics completed SCI IHSS. Confirmatory factorial analyses were conducted. The demonstrated two‐factor structure, while IHSS exhibited three‐factor structure. Over 70% scored above threshold, 36.5% diagnosed with insomnia. For SCI, threshold ≤ 13 highest predictive value diagnosing Network highlighted central role cognitive consequences hypersomnolence. Cognitive emotional moderately interconnected. Higher complaints related associated increased feelings insufficient more pronounced inertia. Additionally, greater wakefulness after onset was linked both shorter ideal night‐time duration difficulty staying awake during low‐stimulation activities throughout day. showed when compared general population. represent critical issues French underscored intricate hypersomnolence, highlighting urgent need targeted interventions that address daytime nighttime sleep–wake disturbances.

Язык: Английский

Процитировано

0
UNDERSTANDING SUICIDAL IDEATION THROUGH PSYCHOLOGICAL FLEXIBILITY AND INFLEXIBILITY: A NETWORK ANALYSIS PERSPECTIVE DOI
Alberto Misitano, Giovanni Michelini, Annalisa Oppo

и другие.

Journal of Contextual Behavioral Science, Год журнала: 2024, Номер 34, С. 100853 - 100853

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0