Associations between anxiety, depression, and personal mastery in community-dwelling older adults: a network-based analysis

BMC Psychiatry, Год журнала: 2024, Номер 24(1)

Опубликована: Март 7, 2024

Abstract Background In China, about 18.70% of the population aged 60 years and older are at risk low personal mastery as well anxiety depression for a variety reasons. The purpose this study was to construct symptom network model relationship between anxiety, depression, in community-dwelling adults identify central bridge symptoms network. Methods Depression, were measured using Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), Personal Mastery (PMS), respectively. A total 501 16 communities Changzhou Zhenjiang, Jiangsu Province, surveyed by combination stratified sampling convenience methods. R language used Results (1) structure anxiety–depression–personal stable, with “Nervousness” (node GAD1, strength = 1.38), “Sad mood” PHQ2, 1.22), " Inability change” PMS2, 1.01) “Involuntarily” PMS3, 0.95) symptoms. (2) “Irritability” GAD6, 0.743), 0.655), “Trouble relaxing” GAD4, 0.550) connecting depressive symptoms, mastery. (3) comparison test (NCT), residence, somatic chronic comorbidity gender had no significant effect on structure. Conclusions construction opens up new possibilities mechanisms action intervention formulation psychological disorders adults. identification (e.g., nervousness, sad mood, inability change, involuntarily) irritability, trouble relaxing) sense can provide scientific basis development precise interventions.

Язык: Английский

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Investigating the network structure and causal relationships among bridge symptoms of comorbid depression and anxiety: A Bayesian network analysis

Journal of Clinical Psychology, Год журнала: 2024, Номер 80(6), С. 1271 - 1285

Опубликована: Фев. 17, 2024

Abstract Background The network analysis method emphasizes the interaction between individual symptoms to identify shared or bridging depression and anxiety understand comorbidity. However, community detection approach have limitations in identifying causal relationships among symptoms. This study aims address this gap by applying Bayesian (BN) investigate potential relationships. Method Data were collected from a sample of newly enrolled college students. structure was estimated using Patient Health Questionnaire‐9 (PHQ‐9) Generalized Anxiety Disorder (GAD‐7) Scale measures, respectively. Shared identified through clique percolation (CP) method. BN. Results strongest bridge symptoms, as indicated strength, include sad mood (PHQ2), motor (PHQ8), suicide (PHQ9), restlessness (GAD5), irritability (GAD6). These formed distinct CP algorithm. Sad (PHQ2) played an activating role, influencing other Meanwhile, (GAD5) mediating role with reciprocal influences on both Motor (GAD6) assumed recipient positions. Conclusion BN presents valuable for investigating complex interplay context comorbid anxiety. It identifies two (i.e., sadness worry), which serve underscore fundamental differences these disorders. Additionally, psychomotor suicidal ideations are recognized roles, being influenced within network.

Язык: Английский

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Depressive, anxiety, and sleep disturbance symptoms in patients with obstructive sleep apnea: a network analysis perspective

BMC Psychiatry, Год журнала: 2025, Номер 25(1)

Опубликована: Янв. 28, 2025

Patients with obstructive sleep apnea (OSA) frequently experience disturbance and psychological distress, such as depression anxiety, which may have a negative impact on their health status functional abilities. To gain more comprehensive understanding of the symptoms depression, in patients OSA, current study utilized network analysis to examine interconnections among these symptoms. Depressive anxiety were evaluated using Hospital Anxiety Depression Scale (HADS), Pittsburgh Sleep Quality Index (PSQI). A total 621 OSA completed questionnaires. The indices 'Expected influence' 'Bridge expected used centrality measures symptom network. Least Absolute Shrinkage Selection Operator (LASSO) technique Extended Bayesian Information Criterion (EBIC) estimate structure depressive, Network Comparison Test (NCT) was performed evaluate differences between mild moderate severe networks. revealed that A6 ("Getting sudden feelings panic") had highest influence value D6 ("Feeling being slowed down") bridge values NCT results edge weights significantly differed those (M = 0.263, p 0.008). There no significant difference global strength variation two networks (S 0.185, 0.773). Our suggest (e.g., D6) can be prioritized potential targets for intervention treatment OSA.

Язык: Английский

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A systematic review of studies using network analysis to assess dynamics of psychotic-like experiences in community samples

Psychological Medicine, Год журнала: 2025, Номер 55

Опубликована: Янв. 1, 2025

Several studies have used a network analysis to recognize the dynamics and determinants of psychotic-like experiences (PLEs) in community samples. Their synthesis has not been provided so far. A systematic review using assess PLEs samples was performed. Altogether, 27 were included. The overall percentage ranks centrality metrics for 23.5% strength (20 studies), 26.0% betweenness (5 29.7% closeness (6 26.9% expected influence (7 29.1% bridge (3 studies). Included covered three topics: phenomenology associated symptom domains (14 exposure stress with respect suicide-related outcomes other directly connected PLEs. total 6 investigated childhood trauma (CT) history. These demonstrated that are CT history (4 studies) or cumulative measure environmental exposures (1 study). Moreover, found moderate association Two revealed direct connections also potential mediating effects cognitive biases general psychopathology. across all included within this topic. findings imply transdiagnostic phenomena do represent most central domain psychopathology occurrence might be suicide risk.

Язык: Английский

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A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression

Frontiers in Psychiatry, Год журнала: 2021, Номер 12

Опубликована: Окт. 28, 2021

The network theory of psychopathology proposes that mental disorders arise from direct interactions between symptoms. This provides a promising framework to understand the development and maintenance such as depression. In this narrative review, we summarize literature on studies in field Four methodological approaches are distinguished: (i) focusing symptoms at macro-level vs. (ii) momentary states micro-level, (iii) based cross-sectional (iv) time-series (dynamic) data. Fifty-six were identified. We found different yielded largely inconsistent findings Centrality is notable exception: majority identified either positive affect or anhedonia central nodes. To aid future research field, outline novel complementary theory, dynamics (MAD) Furthermore, provide directions for discuss if how networks might be used clinical practice. conclude more empirical needed determine whether can indeed enhance our understanding underlying structure depression advance treatment.

Язык: Английский

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Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality

Psychometrika, Год журнала: 2021, Номер 87(1), С. 214 - 252

Опубликована: Июнь 24, 2021

Network analysis of ESM data has become popular in clinical psychology. In this approach, discrete-time (DT) vector auto-regressive (VAR) models define the network structure with centrality measures used to identify intervention targets. However, VAR suffer from time-interval dependency. Continuous-time (CT) have been suggested as an alternative but require a conceptual shift, implying that DT-VAR parameters reflect total rather than direct effects. paper, we propose and illustrate CT approach using CT-VAR models. We new representation develop which inform targeting. This methodology is illustrated dataset.

Язык: Английский

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Auditing the research practices and statistical analyses of the group-level temporal network approach to psychological constructs: A systematic scoping review

Behavior Research Methods, Год журнала: 2022, Номер 55(2), С. 767 - 787

Опубликована: Апрель 25, 2022

Язык: Английский

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Depressive and anxiety symptoms in patients with COPD: A network analysis

Respiratory Medicine, Год журнала: 2022, Номер 198, С. 106865 - 106865

Опубликована: Май 7, 2022

Язык: Английский

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Is Activation the Active Ingredient of Transdiagnostic Therapies? A Randomized Clinical Trial of Behavioral Activation, Acceptance and Commitment Therapy, and Transdiagnostic Cognitive-Behavioral Therapy for Emotional Disorders

Behavior Modification, Год журнала: 2022, Номер 47(1), С. 3 - 45

Опубликована: Апрель 15, 2022

Studying the usefulness of contextual and cognitive transdiagnostic therapies calls for an analysis both their differential efficacy specificity when acting on conditions which they focus. This controlled trial compares post-treatment 3- 6-month follow-up effects Behavioral Activation (BA), Acceptance Commitment Therapy (ACT) Cognitive-Behavioral Transdiagnostic (TD-CBT) emotional symptomatology, analyses role played by Experiential Avoidance, Cognitive Fusion, Emotion Regulation in clinical change. One hundred twenty-eight patients who fulfilled diagnostic criteria anxiety and/or depression (intention-to-treat sample) were randomly assigned to three experimental group-treatment (BA, n = 34; ACT, 27; TD-CBT 33) one control group (WL, 34). Ninety-nine (77.34%) completed treatment (per-protocol sample). In post-treatment, all reduced symptomatology. follow-ups, reduction symptomatology was greater condition produced more prolonged Activation. appears be principal modifying patterns BA most efficacious specific treatment. The registered at ClinicalTrials.gov NCT04117464. Raw data are available online http://dx.doi.org/10.17632/krj3w2hfsj.1 .

Язык: Английский

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Temporal network of experience sampling methodology identifies sleep disturbance as a central symptom in generalized anxiety disorder

BMC Psychiatry, Год журнала: 2024, Номер 24(1)

Опубликована: Март 29, 2024

Abstract Background A temporal network of generalized anxiety disorder (GAD) symptoms could provide valuable understanding the occurrence and maintenance GAD. We aim to obtain an exploratory conceptualization GAD identify central symptom. Methods sample participants ( n = 115) with elevated GAD-7 scores (Generalized Anxiety Disorder 7-Item Questionnaire [GAD-7] ≥ 10) participated in online daily diary study which they reported their based on DSM-5 diagnostic criteria (eight total) for 50 consecutive days. used a multilevel VAR model network. Results In network, lot lagged relationships exist among these are all positive. All have autocorrelations there also some interesting feedback loops Sleep disturbance has highest Out-strength centrality. Conclusions This indicates how interact each other strengthen themselves over time, particularly highlights between sleep symptoms. may play important role dynamic development process The present develop knowledge theoretical model, diagnosis, prevention intervention from perspective.

Язык: Английский

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