A network analysis of difficulties in emotion regulation, anxiety, and depression for adolescents in clinical settings

Child and Adolescent Psychiatry and Mental Health, Год журнала: 2023, Номер 17(1)

Опубликована: Фев. 22, 2023

Abstract Background Difficulties in emotion regulation (DER) are widely considered to underlie anxiety and depression. Given the prevalence of depression adolescents fact that adolescence is a key period for development ability, it important examine how DER related clinical settings. Methods In present study, we assessed 209 settings using Emotion Regulation Scale (DERS) Hospital Anxiety Depression (HADS) examined associations between six components 14 symptoms We used network analysis, constructed circular multidimensional scaling (MDS) networks, calculated centrality, bridge stability centrality indices. Results The results showed that: (1) global index shows Strategy component (i.e., lack access strategies) center whole network, ranking highest strength, closeness, betweenness, expected influence. (2) MDS closeness symptoms, while Awareness emotional awareness) stayed away from other components, but close some symptoms. (3) nodes three groups, DERS, Worry Relax Cheerful Slow had strongest relationships with groups. Conclusion Lack strategies remains not only also DER-anxiety-depression awareness anxiety. Worrying thoughts inability relax bridging anxiety, cheerful emotions slowing down These findings suggest making more accessible patients reducing these may yield greatest rewards therapy.

Язык: Английский

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A network model of depressive and anxiety symptoms: a statistical evaluation

Molecular Psychiatry, Год журнала: 2024, Номер 29(3), С. 767 - 781

Опубликована: Янв. 18, 2024

Язык: Английский

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Network analysis of depressive and anxiety symptoms in older Chinese adults with diabetes mellitus

Frontiers in Psychiatry, Год журнала: 2024, Номер 15

Опубликована: Янв. 29, 2024

Background The move away from investigating mental disorders as whole using sum scores to the analysis of symptom-level interactions network has provided new insights into comorbidities. current study explored dynamic between depressive and anxiety symptoms in older Chinese adults with diabetes mellitus (DM) identified central bridge depression-anxiety provide potential targets for prevention intervention depression anxiety. Methods This used a cross-sectional design data 2017–2018 wave Longitudinal Healthy Longevity Survey (CLHLS). A regularized partial correlation was estimated based on self-reported scales completed by 1685 DM aged 65 years or older. Depressive were assessed 10-item Center Epidemiologic Studies Depression Scale (CESD-10) Seven-Item Generalized Anxiety Disorder (GAD-7), respectively. Expected influence (EI) expected (BEI) indices calculated each symptom. Results According cutoff indicating presence anxiety, prevalences our sample 52.9% 12.8%, comorbidity rate 11.5%. six edges strongest correlations same disorder. “Feeling blue/depressed”, “Nervousness anxiety”, “Uncontrollable worry”, “Trouble relaxing”, “Worry too much” had highest EI values. anxiety” “Everything an effort” exhibited BEI Conclusion Central highlighted this study. Targeting these may be effective preventing facilitate interventions who are at risk currently have symptoms.

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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Network analysis of anxiety and depression in the functionally impaired elderly

Frontiers in Public Health, Год журнала: 2022, Номер 10

Опубликована: Дек. 1, 2022

Background Evidence from previous studies has confirmed that functionally impaired elderly individuals are susceptible to comorbid anxiety and depression. Network theory holds the comorbidity emerges interactions between depression symptoms. This study aimed investigate fine-grained relationships among symptoms in identify central bridge provide potential targets for intervention of these two disorders. Methods A total 325 five communities Xi'an, China, were recruited our investigation. The GAD-7 PHQ-9 used measure depression, respectively. SPSS 22.0 software was descriptive statistics, R 4.1.1 network model construction, expected influence (EI) evaluation (BEI) evaluation. Results In network, there 35 edges (indicating partial correlations symptoms) across which strongest edge A1 “Nervousness or anxiety”-D2 “Depressed sad mood.” A2 “Uncontrollable worry” D2 mood” had highest EI values while A6 “Irritable” D7 “Concentration difficulties” BEI their respective community. flow direct D9 “Thoughts death” with D6 “Feeling worthlessness.” Conclusion Complex exist individuals. worry,” “depressed mood,” “irritable” “concentration identified as Our emphasizes necessity suicide prevention individuals, symptom “feeling worthlessness” can be an effective target.

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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Network analysis of suicide ideation and depression–anxiety symptoms among Chinese adolescents

General Psychiatry, Год журнала: 2024, Номер 37(2), С. e101225 - e101225

Опубликована: Март 28, 2024

The co-occurrence of depression and anxiety among adolescents is typically associated with suicide ideation. study aimed to investigate the symptom-level relationship between ideation comorbidity anxiety. 1501 aged 12-19 years were assessed using Patient Health Questionnaire (PHQ-9) Generalized Anxiety Disorder Scale, 716 who scored ≥5 on both scales selected as participants. Network analysis was used identify network structure depressive symptoms symptoms. Participants categorised into either or non-suicide groups based their scoring suicide-related item in PHQ-9. A comparison made depression-anxiety symptom networks two groups. 'Restlessness', 'sad mood' 'trouble relaxing' most prominent central network, 'restlessness', 'nervousness' 'reduced movement' bridge this network. 'Sad found be directly related 'suicide ideation' highest variance. significantly different properties group group, 'restlessness' exhibiting higher influence than that group. Restlessness sad mood could targeted for intervention

Язык: Английский

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The relationship between intolerance of uncertainty, coping style, resilience, and anxiety during the COVID-19 relapse in freshmen: A moderated mediation model

Frontiers in Psychiatry, Год журнала: 2023, Номер 14

Опубликована: Фев. 14, 2023

Background The repeated outbreaks of COVID-19 and the rapid increase in uncertainty have had many negative effects on public’s mental health, especially emotional aspects such as anxiety depression. However, previous studies, there are few studies exploring positive factors between anxiety. innovation this study is first to explore mechanism coping style resilience people’s psychological protective caused by pandemic. Methods This explored relationship intolerance freshmen with mediating variable moderating variable. A total 1049 participated completed Intolerance Uncertainty Scale (IUS-12), Self-rating Anxiety (SAS), Simplified Coping Style Questionnaire (SCSQ), Connor-Davidson Resilience (CD-RISC). Results SAS score surveyed students (39.56 ± 10.195) was significantly higher than that Normal Chinese (29.78 10.07, p < 0.001). positively correlated (β = 0.493, Positive has a significant impact −0.610, 0.001), 0.951, moderates second half influence 0.011, t 3.701, 0.01). Conclusion findings suggest high levels burden during knowledge role may be used health care workers when consulting physical complaints psychosomatic disorders.

Язык: Английский

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Network analysis of anxiety and depressive symptoms during the COVID-19 pandemic in older adults in the United Kingdom

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Апрель 2, 2024

Abstract The health crisis caused by COVID-19 in the United Kingdom and confinement measures that were subsequently implemented had unprecedented effects on mental of older adults, leading to emergence exacerbation different comorbid symptoms including depression anxiety. This study examined compared anxiety symptom networks two specific quarantine periods (June–July November–December) adult population Kingdom. We used database English Longitudinal Study Aging Substudy, consisting 5797 participants first stage (54% women) 6512 second (56% women), all over 50 years age. with highest centrality both times were: “Nervousness (A1)” “Inability relax (A4)” expected influence predictability, “depressed mood (D1”; bridging influence). latter measure along "Irritability (A6)" overlapped clusters networks. In addition, a cross-lagged panel network model was which more significant direction "Nervousness (A1)" depressive "Anhedonia (D6)", "Hopelessness (D7)", "Sleep problems (D3)" observed; has predictive capability network. results report higher degree transdiagnostic overlap cross-sectional (invariants) anxious symptomatology.

Язык: Английский

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The relations between different components of intolerance of uncertainty and symptoms of generalized anxiety disorder: a network analysis

BMC Psychiatry, Год журнала: 2021, Номер 21(1)

Опубликована: Сен. 10, 2021

Abstract Background Intolerance of uncertainty (IU) is considered as a specific risk factor in the development and maintenance generalized anxiety disorder (GAD). Yet, researches have investigated relations between IU GAD (or worry) using total scores on self-report measures. This ignores that there are different components exist heterogeneity symptoms. In present study, we explored among symptoms GAD. Methods A dimensional approach which take individual differences into consideration along full range normal to abnormal symptom severity levels were used this study. Components measured by 12-item Uncertainty Scale Generalized Anxiety Disorder 7-Item Questionnaire. Regularized partial-correlation network was estimated cross-sectional data from 624 university students. Results Four strongest edges IU, like “Unforeseen events upset me greatly” “It frustrates not having all information I need”. Two GAD, “Being so restless it hard sit still” “Feeling afraid if something awful might happen”. Symptom “Worrying too much about things” component need” highest expected influences network. community has bridge influence. And “Not being able stop or control worrying” Conclusions study reveals potential pathways various Understanding how putative factors such related may provide some references for preventions interventions, targeting be more effective at reducing than other IU.

Язык: Английский

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