Exploring symptom clusters and core symptoms during the vulnerable phase in patients with chronic heart failure: a network-based analysis

European Journal of Cardiovascular Nursing, Год журнала: 2025, Номер unknown

Опубликована: Янв. 2, 2025

Abstract Aims To construct a symptom network of chronic heart failure patients in the vulnerable period and identify core symptoms bridge between different clusters. Methods results A convenience sampling method was used to select 402 with within 3 months after discharge from cardiology departments two tertiary-level hospitals Zhenjiang City, symptom-related entries Minnesota living questionnaire (MLHFQ) were conduct survey. Symptom networks constructed using R language. The structurally stable, correlation stability coefficient 0.595. In network, ‘depression’ (MLHFQ9), ‘dyspnoea on exertion’ (MLHFQ3), ‘worry’ (MLHFQ7) are symptoms. ‘Cognitive problems’ (MLHFQ8), ‘sleep difficulties’ (MLHFQ4), ‘fatigue’ (MLHFQ6) connecting emotional-cognitive somatic comparison test, there no significant differences genders places residence. Conclusion ‘Depression’ ‘increased need rest’ most severe symptoms, respectively, phase failure, ‘cognitive is important symptom. Clinical caregivers can build precise intervention programme based focus emotional cognitive clusters, order improve efficacy management during failure.

Язык: Английский

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A network analysis of depression and anxiety symptoms among Chinese elderly living alone: based on the 2017–2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS)

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

Опубликована: Янв. 8, 2025

Elderly individuals living alone represent a vulnerable group with limited family support, making them more susceptible to mental health issues such as depression and anxiety. This study aims construct network model of anxiety symptoms among older adults alone, exploring the correlations centrality different symptoms. The goal is identify core bridging inform clinical interventions. Using data from 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS), this constructed elderly alone. Depression were assessed using Center for Epidemiologic Studies Scale-10 (CESD-10) Generalized Anxiety Disorder Scale-7 (GAD-7), respectively. A Gaussian Graphical Model (GGM) was employed build symptom network, Fruchterman-Reingold algorithm used visualization, thickness color edges representing partial between To minimize spurious correlations, Least Absolute Shrinkage Selection Operator (LASSO) method applied regularization, optimal regularization parameters selected Extended Bayesian Information Criterion (EBIC). We further calculated Expected Influence (EI) Bridge (Bridge EI) evaluate importance Non-parametric bootstrap methods assess stability accuracy network. Network analysis revealed that GAD2 (Uncontrollable worry) GAD4 (Trouble relaxing) exhibited highest strength (1.128 1.102, respectively), indicating their significant direct associations other roles nodes in Other highly central nodes, GAD1 (Nervousness or anxiety) GAD3 (Generalized worry), underscore dominance overall Betweenness results highlighted critical bridge facilitating information flow symptoms, while CESD3 (Feeling depressed) demonstrated role across modules. Weighted analyses confirmed relaxing). Additionally, showed gender differences depression-anxiety networks study, through analysis, uncovered complex relationships identifying These findings provide essential insights targeted Future research should explore intervention strategies these improve

Язык: Английский

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Building Consensus on the Relevant Criteria to Screen for Depressive Symptoms Among Near-Centenarians and Centenarians: Modified e-Delphi Study

JMIR Aging, Год журнала: 2025, Номер 8, С. e64352 - e64352

Опубликована: Март 5, 2025

The number of centenarians worldwide is expected to increase dramatically, reaching 3.4 million by 2050 and >25 2100. Despite these projections, depression remains a prevalent yet underdiagnosed undertreated condition among this population that carries significant health risks. This study aimed identify achieve consensus on the most representative signs symptoms in near-centenarians (aged ≥95 years) through an e-Delphi with international interdisciplinary panel experts. Ultimately, outcomes might help create screening instrument specifically designed for unique population. A modified was carried out expert depressive centenarians. 28 experts recruited. Consensus defined as 70% agreement relevance each item. Data were collected web-based questionnaire over 3 rounds. Experts rated 104 items divided into 24 dimensions 80 criteria age group. consisted from various countries, including physicians experience old psychiatry or geriatrics well nurses psychologists. response rate remained consistent rounds (20/28, 71% 21/28, 75%). In total, 4 new 8 proposed experts, reached 86% (24/28) 80% (70/88) criteria. consensual potentially relevant lack hope (21/21, 100%), loss interest (27/28, 96%), reactivity pleasant events depressed mood (26/28, 93%), previous episodes diagnosed (19/21, 90%). addition, despondency, gloom, despair (25/25, 100%); (27/27, circumstances (28/28, suicidal ideation suicide attempt(s) ruminations 96%); recurrent thoughts death feelings worthlessness (25/26, critical life (20/21, 95%); anhedonia activities 93%); pleasure sadness (24/26, 92%). Moreover, when assessing very age, duration, number, frequency, severity should also be considered, evidenced high agreement. classification elements highlights importance multidimensional approach optimal individuals age. offers first step toward improving assessment development more adapted tool could improve early detection intervention, enhancing quality mental care

Язык: Английский

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Disparities in anxiety and related factors among Chinese older adults across different aged-care models: a comparison of two cross-sectional studies

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

Опубликована: Янв. 21, 2025

Anxiety disorders in older adults have become a prominent public health problem due to their concomitant chronic conditions, reduced quality of life and even death. However, fewer studies been conducted on differences anxiety among individuals different aged-care models, the interactive relationship between influencing factors remains unclear. The study aimed examine disparities prevalence community-dwelling institutionalized related factors. Data were collected from Anhui Healthy Longevity Survey (AHLS) Elderly Caring Social Organizations (AECSOS). demographic variables, lifestyle health-related variables 6968 used for analysis. symptoms evaluated using Generalized Disorder Assessment Scale (GAD-7). Binary logistic regression models Classification Regression Tree model (CART) utilized variables. 24.3% 16.7% adults, respectively. Several including age, gender, residence, education, income level, live alone, number diseases showed linkage with adults. For source income, exhibited significant association anxiety. We noted effect, suggesting that female an level less than 6500 RMB per year reported disease comorbidities had highest likelihood anxiety, sources such as pension, subsidy, family providing, resident rural areas greatest risk experiencing This has brought light higher compared Targeted interventions are, therefore emphasized address negative impact populations at risk.

Язык: Английский

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The moderating effect of frailty on the network of depression, anxiety, and loneliness in community-dwelling older adults

Journal of Affective Disorders, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

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The complexity of comorbidity distribution and pathogenesis in the elderly based on a dependency network simulation

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

Опубликована: Фев. 15, 2025

Multiple chronic diseases in the elderly significantly impact health and quality of life. Identifying key comorbidities their formation can aid controlling progression. Using two follow-up datasets from CHARLS, we constructed a dependency network disease progression applied multi-centrality indicators to analyze relationships among comorbidities. (1) Chronic follow power-law distribution. (2) Common include heart stroke, dyslipidemia liver disease, stroke. (3) Key states comorbidity complete health, only asthma, arthritis, stomach with arthritis. (4) Controlling single state does not alter final distribution The show complexity. Reducing individual prevalence requires intervention across entire process, as targeting has limited on overall population

Язык: Английский

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Construction and validation of a nomogram for predicting fatigue in climacteric women

Menopause The Journal of The North American Menopause Society, Год журнала: 2025, Номер 32(3), С. 266 - 274

Опубликована: Фев. 21, 2025

Abstract Objective The aim was to develop and validate a nomogram for evaluating the risk of fatigue in climacteric women assess its clinical application value. Methods Clinical information collected from 402 who visited tertiary hospital Shanghai between November 2023 April 2024. Network analysis methods were utilized analyze core symptom (fatigue). study participants then randomly divided into training validation cohorts 7:3 ratio. Univariate multivariate logistic regression analyses conducted identify independent factors women. A prediction model established based on these factors. predictive performance evaluated using concordance index, area under curve, receiver operating characteristic Hosmer-Lemeshow test, calibration curve analysis. Additionally, decision performed model's applications. Results Fatigue is identified as Educational level, chronic diseases, depression status are influencing menopausal cohort 0.813 (95% CI, 0.743-0.884) 0.759 0.637-0.879), respectively, indicating that possesses good discriminative ability. shows consistency predicted probabilities actual both cohorts. P values test sets 0.233 0.197, calibration. Finally, demonstrates has utility. Conclusions simple three (educational status) can aid clinically predicting

Язык: Английский

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A network analysis of the heterogeneity and associated risk and protective factors of depression and anxiety among college students

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

Опубликована: Фев. 25, 2025

Background: Comorbidity of depression and anxiety is common among adolescents can lead to adverse outcomes. However, there limited understanding the latent characteristics mechanisms governing these disorders their interactions. Moreover, few studies have examined impacts relevant risk protective factors. Methods: This cross-sectional study involved 1,719 students. Mplus 8.0 software was used conduct profile analysis explore potential categories comorbidities. R4.3.2 network core symptoms, bridge disorders, evaluate effects Results: Three were established: "healthy" (57.8%), "mild depression-mild anxiety" (36.6%), "moderately severe depression-moderate (5.6%). "Depressed mood", "nervousness", "difficulty relaxing" symptoms in both depression-anxiety comorbidity Stress perception neuroticism serve as bridging nodes connecting some are thus considered most prominent Conclusions: According identified this study, targeted intervention treatment be provided groups with comorbid anxiety, thereby reducing comorbidities adolescents.

Язык: Английский

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Analysis of anxiety and depression status and related factors among mothers of children in neonatal intensive care unit

World Journal of Psychiatry, Год журнала: 2025, Номер 15(3)

Опубликована: Фев. 26, 2025

Newborns are immediately admitted to the neonatal intensive care unit (NICU) after birth, and thus mothers suffer from pain of mother-infant separation. Some worry about alterations in their child's condition uncertainty high medical costs possible sequelae, which frequently cause anxiety, depression, other adverse emotions. To investigate anxiety depression status children NICU its related factors. A convenient sampling method is adopted. The research objects included 191 Suzhou Ninth Hospital Affiliated with University January 2023 July 2024. general information questionnaire, personal control scale, self-rating scale were utilized for investigation. Anxiety factors analyzed. incidences maternal among hospitalized 32.98% (63/191) 23.56% (45/191), respectively. Single-factor analysis reveals that family monthly income, individual sense control, gestational age child, number diseases child associated experienced by mother (P < 0.05). Multivariate logistic regression revealed income 5000 yuan (RMB), poor 32 weeks, ≥ 3 kinds all Mothers demonstrated incidences. nursing staff department established intervention measures each factor, strengthened communication did a good job psychological counseling.

Язык: Английский

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Network analysis of anxiety and depressive symptoms among patients with cardiovascular disease

BMC Public Health, Год журнала: 2025, Номер 25(1)

Опубликована: Март 21, 2025

Patients with cardiovascular disease (CVD) often experience anxiety and depression. However, the central bridge symptoms of depression among patients CVD remain unclear. Network analysis is a statistical method that can reveal visualise complex relationships between multiple variables. This study aimed to identify in anxiety-depression network, which may provide potential targets for preventing intervening A total 1180 were selected from Psychology Behavior Investigation Chinese Residents. The survey was conducted July 10 September 15, 2021. Face-to-face electronic questionnaires distributed respondents by investigators. Generalized Anxiety Disorder 7 (GAD-7) Patient Health Questionnaire-9 used assess depressive CVD. using R4.02 network. Among included this study, 673 (57%) male 507 (43%) female. More than half (53.5%) under 60 years old. mean GAD-7 score 4.66 ± 4.38, 169 (14.3%) had symptoms. PHQ-9 6.29 5.29, 235 (19.9%) Furthermore, 144 (12.2%) people both In network symptoms, "unable sit still because anxiety", "feeling afraid something terrible about happen", bad or like failure, disappointing oneself family" most influential We also found happen" "thoughts dying hurting some way" pivotal provides new insights into structure These identified be potentially effective CVD, treatment strategies

Язык: Английский

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