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OBJECTIVES: This research simulates an adaptive version of the IDAS-II (IDAS-CAT). METHODS: 2021 participants from both community (n = 1692) and patients (n = 329) samples completed the IDAS-II. Item response theory metric properties of the IDAS-II full test and the 20-items of the general depression (GD) scale were obtained. The efficiency and accuracy of different computerized adaptive algorithms were simulated. Different subsamples completed additional external measures in order to gather evidence of validity of the scores estimated with the simulated adaptive algorithms selected. RESULTS: Both unidimensional computerized adaptive testing algorithm selected for the GD scale and the bifactor model chosen for the full test, allow 70% reduction in the length of administration, maintaining a measurement error below 0.30 on the general and 0.50 on the specific factors. Results show high correlations of the scores estimated with the adaptive algorithms and the estimates based on the full test, as well as correlations with external criteria almost equal to those generated with the full test. CONCLUSIONS: IDAS-CAT could be a reliable and fast tool for measuring internalizing spectrum.
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Algoritmos , Ansiedad , Escalas de Valoración Psiquiátrica , Humanos , Adulto , Masculino , Femenino , Persona de Mediana Edad , Escalas de Valoración Psiquiátrica/normas , Adulto Joven , Ansiedad/diagnóstico , Depresión/diagnóstico , Psicometría/normas , Adolescente , Anciano , Simulación por Computador , Reproducibilidad de los ResultadosAsunto(s)
Malformación de Arnold-Chiari , Humanos , Malformación de Arnold-Chiari/complicaciones , Malformación de Arnold-Chiari/diagnóstico , Malformación de Arnold-Chiari/etiología , Imagen por Resonancia Magnética , Literatura de Revisión como Asunto , Depresión/complicaciones , Depresión/diagnóstico , Diagnóstico DiferencialAsunto(s)
Malformación de Arnold-Chiari , Humanos , Malformación de Arnold-Chiari/complicaciones , Malformación de Arnold-Chiari/diagnóstico , Malformación de Arnold-Chiari/etiología , Depresión/complicaciones , Depresión/diagnóstico , Diagnóstico Diferencial , Imagen por Resonancia Magnética , Literatura de Revisión como AsuntoRESUMEN
BACKGROUND: Depression is a common concern for patients seeking medical care. The Patient Health Questionnaire-9 (PHQ-9) is a tool used to diagnose and manage depression. Tracking individual symptom scores rather than the sum of multiple symptom scores has been found to be more predictive of depression treatment response. METHODS: The records of 30 patients who had a follow-up visit in primary care were reviewed. We discuss 3 patient scenarios and present their PHQ-9 data as individual symptom scores, in the form of a color-coded heat map. RESULTS: In the cases presented, medication side effects, anxiety, a thyroid disorder, and fibromyalgia were identified as possible influencers of the PHQ-9 survey scores. DSICUSSION: A heat map helped clinicians understand the patient's clinical status in an efficient manner. We encourage the development of a PHQ-9 heat map in electronic medical record systems.
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Depresión , Humanos , Femenino , Masculino , Persona de Mediana Edad , Depresión/diagnóstico , Depresión/terapia , Encuestas y Cuestionarios , Cuestionario de Salud del Paciente , Atención Primaria de Salud , AdultoRESUMEN
Breast cancer impacts the psychological well-being of women, leaving them at risk of developing depression, anxiety, and other stress-related disorders. The Depression Anxiety Stress Scales (DASS-21) is a widely used measure, although empirical evidence regarding its psychometric properties in the breast cancer population is limited. The purpose of this study was to conduct an exhaustive analysis of the psychometric properties of the DASS-21 in a sample of Spanish women diagnosed with breast cancer. Participants were 289 breast cancer patients who completed the DASS-21 and other questionnaires measuring life satisfaction, positive and negative affect, flourishing, perceived stress, and breast cancer-specific stressors. In terms of validity evidence based on the internal structure of the DASS-21, adequate fit indices were obtained for the model based on three first-order factors (depression, anxiety, stress) and one second-order factor (general psychological distress). Reliability coefficients (McDonald's omega) ranged from .84 to .95. Validity evidence based on relationships with other variables was also provided by moderate and strong correlations with well-being indicators and stress measures. The results support the use of the DASS-21 for measuring general psychological distress in the breast cancer context, where it may provide useful information for the design of psychological interventions with patients.
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Ansiedad , Neoplasias de la Mama , Depresión , Psicometría , Estrés Psicológico , Humanos , Femenino , Neoplasias de la Mama/psicología , Psicometría/métodos , Persona de Mediana Edad , Depresión/diagnóstico , Depresión/psicología , Ansiedad/diagnóstico , Ansiedad/psicología , Estrés Psicológico/diagnóstico , Adulto , Anciano , Encuestas y Cuestionarios , Reproducibilidad de los Resultados , Escalas de Valoración PsiquiátricaRESUMEN
BACKGROUND: Electroencephalography (EEG) is a promising tool for identifying the physiological biomarkers of fibromyalgia (FM). Evidence suggests differences in power band and density between individuals with FM and healthy controls. EEG changes appear to be associated with pain intensity; however, their relationship with the quality of pain has not been examined. We aimed to investigate whether abnormal EEG in the frontal and central points of the 10-20 EEG system in individuals with FM is associated with pain's sensory-discriminative and affective-motivational dimensions. The association between EEG and the two dimensions of emotional disorders (depression and anxiety) was also investigated. METHODS: In this cross-sectional pilot study, pain experience (pain rating index [PRI]) and two dimensions of emotional disorders (depression and anxiety) were assessed using the McGill Pain Questionnaire (PRI-sensory and PRI-affective) and Hospital Anxiety and Depression Scale (HADS), respectively. In quantitative EEG analysis, the relative spectral power of each frequency band (delta, theta, alpha, and beta) was identified in the frontal and central points during rest. RESULTS: A negative correlation was found between the relative spectral power for the delta bands in the frontal (r= -0.656; p = 0.028) and central points (r= -0.624; p = 0.040) and the PRI-affective scores. A positive correlation was found between the alpha bands in the frontal (r = 0.642; p = 0.033) and central points (r = 0.642; p = 0.033) and the PRI-affective scores. A negative correlation between the delta bands in the central points and the anxiety subscale of the HADS (r = -0.648; p = 0.031) was detected. CONCLUSION: The affective-motivational dimension of pain and mood disorders may be related to abnormal patterns of electrical activity in patients with FM. TRIAL REGISTRATION: Retrospectively registered on ClinicalTrials.gov (NCT05962658).
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Ansiedad , Electroencefalografía , Fibromialgia , Dimensión del Dolor , Humanos , Fibromialgia/fisiopatología , Fibromialgia/diagnóstico , Fibromialgia/psicología , Fibromialgia/complicaciones , Proyectos Piloto , Femenino , Electroencefalografía/métodos , Estudios Transversales , Persona de Mediana Edad , Adulto , Dimensión del Dolor/métodos , Masculino , Ansiedad/diagnóstico , Ansiedad/psicología , Depresión/diagnóstico , Depresión/psicología , Dolor/diagnóstico , Dolor/fisiopatología , Dolor/psicologíaRESUMEN
Background: Depression represents a pressing global public health concern, impacting the physical and mental well-being of hundreds of millions worldwide. Notwithstanding advances in clinical practice, an alarming number of individuals at risk for depression continue to face significant barriers to timely diagnosis and effective treatment, thereby exacerbating a burgeoning social health crisis. Objective: This study seeks to develop a novel online depression risk detection method using natural language processing technology to identify individuals at risk of depression on the Chinese social media platform Sina Weibo. Methods: First, we collected approximately 527,333 posts publicly shared over 1 year from 1600 individuals with depression and 1600 individuals without depression on the Sina Weibo platform. We then developed a hierarchical transformer network for learning user-level semantic representations, which consists of 3 primary components: a word-level encoder, a post-level encoder, and a semantic aggregation encoder. The word-level encoder learns semantic embeddings from individual posts, while the post-level encoder explores features in user post sequences. The semantic aggregation encoder aggregates post sequence semantics to generate a user-level semantic representation that can be classified as depressed or nondepressed. Next, a classifier is employed to predict the risk of depression. Finally, we conducted statistical and linguistic analyses of the post content from individuals with and without depression using the Chinese Linguistic Inquiry and Word Count. Results: We divided the original data set into training, validation, and test sets. The training set consisted of 1000 individuals with depression and 1000 individuals without depression. Similarly, each validation and test set comprised 600 users, with 300 individuals from both cohorts (depression and nondepression). Our method achieved an accuracy of 84.62%, precision of 84.43%, recall of 84.50%, and F1-score of 84.32% on the test set without employing sampling techniques. However, by applying our proposed retrieval-based sampling strategy, we observed significant improvements in performance: an accuracy of 95.46%, precision of 95.30%, recall of 95.70%, and F1-score of 95.43%. These outstanding results clearly demonstrate the effectiveness and superiority of our proposed depression risk detection model and retrieval-based sampling technique. This breakthrough provides new insights for large-scale depression detection through social media. Through language behavior analysis, we discovered that individuals with depression are more likely to use negation words (the value of "swear" is 0.001253). This may indicate the presence of negative emotions, rejection, doubt, disagreement, or aversion in individuals with depression. Additionally, our analysis revealed that individuals with depression tend to use negative emotional vocabulary in their expressions ("NegEmo": 0.022306; "Anx": 0.003829; "Anger": 0.004327; "Sad": 0.005740), which may reflect their internal negative emotions and psychological state. This frequent use of negative vocabulary could be a way for individuals with depression to express negative feelings toward life, themselves, or their surrounding environment. Conclusions: The research results indicate the feasibility and effectiveness of using deep learning methods to detect the risk of depression. These findings provide insights into the potential for large-scale, automated, and noninvasive prediction of depression among online social media users.
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Depresión , Procesamiento de Lenguaje Natural , Medios de Comunicación Sociales , Humanos , Depresión/diagnóstico , Depresión/psicología , Depresión/epidemiología , Medios de Comunicación Sociales/estadística & datos numéricos , China/epidemiología , Semántica , Medición de Riesgo/métodosRESUMEN
OBJECTIVE: To examine the associations between self-reported screen time and symptoms of stress, anxiety, and depression in adolescents. METHODS: A cross-sectional study was conducted with 982 adolescents aged between 12 and 15 years, enrolled in public schools in Jacarezinho (PR), Brazil. Screen time was assessed by the question "Considering a typical day, how much time do you spend watching TV, playing videogame, using computer or smartphone?" The DASS-21 questionnaire (short form) was used to assess symptoms of depression, anxiety, and stress. Crude and adjusted analyses (age, sex, and maternal level of education) between screen time and mental disorders symptoms were performed using general linear regression models, with Poisson distribution, with significance level at p<0.05. RESULTS: Higher depressive symptoms were observed in adolescents who reported screen time of 4-6 hours/day (PR 1.35, 95%CI 1.13-1.61) and ≥6 hours/day (PR 1.88, 95%CI 1.62-2.19), compared with their pairs with <2 hours/day. The same was observed for anxiety symptoms with screen time of 4-6 hours/day (PR 1.23, 95%CI 1.04-1.46) and ≥6 hours/day (PR 1.50, 95%CI 1.28-1.77); and stress, with 4-6 hours/day (PR 1.25, 95%CI 1.08-1.44) and ≥6 hours/day (PR 1.49, 95%CI 1.30-1.71), also compared with their pairs with <2 hours/day. CONCLUSIONS: Screen time was positively associated with depressive, anxiety, and stress symptoms in adolescents. Special attention should be given to those who spend more than four hours a day in front of a screen.
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Ansiedad , Depresión , Tiempo de Pantalla , Estrés Psicológico , Humanos , Adolescente , Femenino , Masculino , Estudios Transversales , Depresión/epidemiología , Depresión/diagnóstico , Depresión/psicología , Ansiedad/epidemiología , Ansiedad/diagnóstico , Ansiedad/psicología , Ansiedad/etiología , Estrés Psicológico/epidemiología , Estrés Psicológico/psicología , Niño , Brasil/epidemiología , Factores de Tiempo , AutoinformeRESUMEN
OBJECTIVE: This study aims to investigate the factors that influence fatigue in hemodialysis (HD) patients and to develop and validate a nomogram to estimate the probability of fatigue in this population. METHODS: This cross-sectional study collected 453 patients who underwent HD at the tertiary hospital in Hubei, China, from April to December 2023. They were randomly divided into a 70% training group (n = 316) and a 30% validation group (n = 137). In the training set, factors influencing fatigue were screened using multivariate logistic regression analysis, and a nomogram was developed to estimate fatigue probability in HD patients. The discrimination and calibration of the nomogram were validated in both the training and validation sets through the area under the receiver operating characteristic (ROC) curve (AUC) and the Hosmer-Lemeshow (H-L) test. RESULTS: In the training group, logistic regression showed that age, dialysis vintage, inter-dialysis weight gain, hemoglobin, depression, insomnia, and social support were variables associated with fatigue in HD patients. Based on these factors, a nomogram for assessing fatigue probability in HD patients was developed. The AUC was 0.955 (95% CI: 0.932-0.977) and 0.979 (95% CI: 0.961-0.997) in the training and validation sets. The results from the H-L test indicated a good fit. CONCLUSION: The nomogram can evaluate fatigue probability in HD patients and may serve as a convenient clinical tool.
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Fatiga , Fallo Renal Crónico , Nomogramas , Diálisis Renal , Humanos , Diálisis Renal/efectos adversos , Masculino , Femenino , Persona de Mediana Edad , Estudios Transversales , Fatiga/etiología , Fatiga/diagnóstico , Anciano , China/epidemiología , Fallo Renal Crónico/terapia , Fallo Renal Crónico/complicaciones , Curva ROC , Modelos Logísticos , Adulto , Factores de Riesgo , Depresión/etiología , Depresión/diagnósticoRESUMEN
BACKGROUND: Depression is a prevalent and serious mental health disorder that significantly impacts daily life and functioning. Neurofilament Light chain (NfL), associated with axonal neuronal damage, has been identified as a promising biomarker, potentially aiding in early diagnosis of depression, personalized treatment, and tracking disease progression. This study used meta-analysis to evaluate the potential of plasma NfL as a biomarker for depression patients. METHODS: A systematic search following the PRISMA guidelines was conducted across PubMed, Web of Science, Scopus, and Google Scholar databases to find relevant studies on plasma NfL levels in patients with depression. A random effects model meta-analysis was applied to determine its potential as a biomarker for differentiating patients from controls. RESULTS: Our meta-analysis, based on four articles with six datasets, revealed that plasma NfL levels were notably higher in individuals with depression (228 cases) compared to healthy controls (118 individuals). The weighted mean difference (WMD) was 8.78 (95% CI: 5.28, 12.28; P < 0.01), indicating a significant effect size. Given the diverse confounding factors inherent in the included observational studies, the observed variability can be attributed to these influences. Due to the observed heterogeneity (heterogeneity Chi-Square: 54.91, p < 0.05), we performed a subgroup analysis. Subgroup analyses based on depression type and analysis method consistently supported the association between NfL and depression, strengthening the evidence. CONCLUSION: Our meta-analysis demonstrates that elevated NfL levels may serve as a promising biomarker for diagnosing depressive disorders. Further research on diverse subtypes and longitudinal changes is needed to validate its clinical utility.
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Biomarcadores , Trastorno Depresivo , Proteínas de Neurofilamentos , Humanos , Proteínas de Neurofilamentos/sangre , Biomarcadores/sangre , Trastorno Depresivo/diagnóstico , Trastorno Depresivo/sangre , Depresión/diagnóstico , Depresión/sangreRESUMEN
BACKGROUND: People living in care homes often have problems with pain, anxiety and depression. Whether being on analgesia, anxiolytics or antidepressants has any bearing on pain severity and quality of life (QoL) in this population, requires further investigation. OBJECTIVES: (i) to examine the relationship between pain, anxiety and depression and medication use in care home residents and (ii) to compare those on medications to treat pain, anxiety and depression, and those who were not, and associations with pain severity and overall QoL. METHODS: This was a secondary analysis of a randomised controlled trial testing a falls prevention intervention in care homes. We recorded pain, anxiety and depression, QoL measurements and prescribed medication use. RESULTS: In 1589 participants, the mean age was 84.7 years (±9.3 SD), 32.2% were male and 67.3% had a diagnosis of dementia. 54.3% and 53.2% of participants had some level of pain and anxiety or depression respectively, regardless of prescribed medication use. There was a direct association between pain severity and being on any analgesia, opioid analgesia, and antidepressants, but no associations between pain severity and use of paracetamol and anxiolytics. QoL was best for residents with no pain and not on any analgesia, anxiolytics or antidepressants and worst for those with moderate-extreme pain and taking at least two of these classes of medications. CONCLUSION: Many care home residents live with pain, anxiety and depression. Addressing residents' pain may also increase their quality of life, but using medication alone to reach this goal may be inadequate.
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Analgésicos , Ansiolíticos , Antidepresivos , Ansiedad , Depresión , Hogares para Ancianos , Casas de Salud , Dimensión del Dolor , Dolor , Calidad de Vida , Humanos , Masculino , Femenino , Ansiolíticos/uso terapéutico , Anciano , Anciano de 80 o más Años , Antidepresivos/uso terapéutico , Dolor/tratamiento farmacológico , Dolor/psicología , Dolor/diagnóstico , Depresión/tratamiento farmacológico , Depresión/psicología , Depresión/diagnóstico , Ansiedad/psicología , Ansiedad/tratamiento farmacológico , Ansiedad/diagnóstico , Analgésicos/uso terapéutico , Accidentes por Caídas/prevención & control , Accidentes por Caídas/estadística & datos numéricos , Índice de Severidad de la Enfermedad , Resultado del TratamientoRESUMEN
Because of absence of the objective biomarker for major depressive disorder (MDD) or depressive state, psychiatrists depend on subjective examinations in order to properly diagnose their patients. We recently identified the candidates of the objective biomarker of depressive state of late-onset MDD by profiling gene expressions in white blood cells of patients and model mice. We also investigated whether gene expression profiling of white blood cells was useful to elucidate the biological alterations in the brain. Furthermore, we newly developed transgenic mice which will be useful for elucidating the neurological mechanisms of emotional abnormalities in psychiatric disorder. In this review, I introduce our recent research to help for understanding of translational approaches to develop the biomarker of depression.
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Biomarcadores , Depresión , Animales , Humanos , Depresión/diagnóstico , Ratones , Trastorno Depresivo Mayor/diagnóstico , Ratones Transgénicos , Modelos Animales de Enfermedad , Encéfalo/metabolismoRESUMEN
BACKGROUND: Parkinson's disease (PD) is a prevalent neurodegenerative disorder characterized by dopaminergic neuron degeneration and diverse motor and nonmotor symptoms. Early diagnosis and intervention are crucial but challenging due to reliance on clinical presentation. Recent research suggests potential biomarkers for early detection, including plasma netrin-1 (NTN-1), a protein implicated in neuronal survival. METHODS: This cross-sectional study recruited 105 PD patients and 65 healthy controls, assessing plasma NTN-1 levels and correlating them with clinical characteristics. Statistical analyses explored associations between NTN-1 levels and PD symptoms, considering demographic factors. RESULTS: PD patients exhibited significantly lower plasma NTN-1 levels compared to controls. NTN-1 demonstrated moderate potential as a PD biomarker. Positive correlations were found between NTN-1 levels and motor, depression, and cognitive symptoms. Multiple regression analysis revealed disease duration and NTN-1 levels as key factors influencing symptom severity. Gender also impacted symptom scores. CONCLUSION: Reduced plasma NTN-1 levels correlate with PD severity, suggesting its potential as a biomarker. However, further research is needed to elucidate the roles of NTN-1 in PD pathophysiology and validate its diagnostic and therapeutic implications. Understanding the involvement of NTN-1 may lead to personalized management strategies for PD.
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Biomarcadores , Netrina-1 , Enfermedad de Parkinson , Humanos , Enfermedad de Parkinson/sangre , Enfermedad de Parkinson/diagnóstico , Enfermedad de Parkinson/complicaciones , Masculino , Femenino , Netrina-1/sangre , Anciano , Estudios Transversales , Persona de Mediana Edad , Biomarcadores/sangre , Depresión/sangre , Depresión/etiología , Depresión/diagnósticoRESUMEN
BACKGROUND: Objective diagnostic approaches need to be tested to enhance the efficacy of depression detection. Non-invasive EEG-based identification represents a promising area. AIMS: The present EEG study addresses two central questions: 1) whether inner or overt speech condition result in higher diagnositc accuracy of depression detection; and 2) does the affective nature of the presented emotion words count in such diagnostic approach. METHODS: A matched case-control sample consisting of 10 depressed subjects and 10 healthy controls was assessed. An EEG headcap containing 64 electrodes measured neural responses to experimental cues presented in the form of 15 different words that belonged to three emotional categories: neutral, positive, and negative. 120 experimental cues was presented for every participant, each containing an "inner speech" and an "overt speech" segment. An EEGNet neural network was utilized. RESULTS: The highest diagnostic accuracy of the EEGNet model was observed in the case of the overt speech condition (i.e. 69.5%), while a an overall subject-wise accuracy of 80% was achieved by the model. Only a negligible difference in diagnostic accuracy could be found between aggregated emotion word categories, with the highest accuracy (i.e. 70.2%) associated with the presentation of positive emotion words. Model decision was primarily influenced by electrodes representing the regions of the left parietal, the left temporal lobe and the middle frontal areas. CONCLUSIONS: While the generalizability of our results is limited by the small sample size and potentially uncontrolled confounders, depression was associated with sensitive and presumably network-like aspects of these brain areas, potentially implying a higher level of emotion regulation that increases primarily in open communication.
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Señales (Psicología) , Electroencefalografía , Emociones , Aprendizaje Automático , Humanos , Femenino , Masculino , Adulto , Emociones/fisiología , Estudios de Casos y Controles , Depresión/diagnóstico , Depresión/fisiopatología , Habla/fisiología , Adulto Joven , Persona de Mediana Edad , Encéfalo/fisiopatologíaRESUMEN
OBJECTIVE: To determine the psychometric properties of an Aboriginal and Torres Strait Islander-developed depressive symptom screening scale. DESIGN: Prospective diagnostic accuracy study. SETTING: Ten primary health care services or residential alcohol and other drug rehabilitation services in Australia that predominantly serve Aboriginal and Torres Strait Islander peoples. PARTICIPANTS: 500 adults (18 years or older) who identified as Aboriginal and/or Torres Strait Islander and were able to communicate sufficiently to respond to questionnaire and interview questions. Recruitment occurred between 25 March 2015 and 2 November 2016. MAIN OUTCOME MEASURE: Criterion validity of seven Aboriginal and Torres Strait Islander-developed items, using the adapted Patient Health Questionnaire 9 (aPHQ-9) and depression module of the Mini International Neuropsychiatric Interview (MINI) 6.0.0 as the criterion standards. RESULTS: The seven-item scale had good internal consistency (α = 0.83) and correlated highly with the aPHQ-9 (ρ = 0.76). All items were significantly associated with diagnosis of a current major depressive episode. Discriminant function and decision tree analysis identified three items forming a summed scale that classified 85% of participants correctly. These three items showed equivalent sensitivity and specificity to the aPHQ-9 when compared with the MINI-identified diagnosis of a current major depressive episode. CONCLUSION: Three items developed by and for Aboriginal and Torres Strait Islander people may provide effective, efficient and culturally appropriate screening for depression in Aboriginal and Torres Strait Islander health care contexts.
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Depresión , Psicometría , Adulto , Anciano , Femenino , Humanos , Masculino , Persona de Mediana Edad , Adulto Joven , Australia , Depresión/diagnóstico , Depresión/etnología , Trastorno Depresivo Mayor/diagnóstico , Trastorno Depresivo Mayor/etnología , Tamizaje Masivo/métodos , Estudios Prospectivos , Escalas de Valoración Psiquiátrica/normas , Psicometría/métodos , Reproducibilidad de los Resultados , Sensibilidad y Especificidad , Encuestas y Cuestionarios/normas , Aborigenas Australianos e Isleños del Estrecho de TorresRESUMEN
BACKGROUND: Depression among older adults is a pressing public health concern, necessitating accurate assessment tools. The Geriatric Depression Scale (GDS) offers a brief and efficient means of screening depressive symptoms, yet its performance across ethno-racial groups remains understudied. This study aimed to compare the ability of various brief forms of the GDS to detect depressive symptoms and to assess potential ethno-racial differences in symptom endorsement among White, Black/African-American, and American Indian/Alaska Native older adults. METHODS: Data were obtained from the Wisconsin Alzheimer's Disease Research Center (ADRC) clinical cohort, comprising 555 cognitively healthy individuals at risk for dementia. We used participants' baseline data for this cross-sectional analysis. Depressive symptoms were assessed using multiple brief forms of the GDS, derived from a systematic review and meta-analysis. We examined internal consistency and correlations with global Clinical Dementia Rating (CDR) scores. We conducted Kruskal-Wallis tests and post hoc pairwise comparisons to assess ethno-racial group differences in symptom endorsement. RESULTS: Descriptive statistics revealed a predominance of female and White participants, with notable representation from Black and American Indian/Alaska Native groups. All GDS versions demonstrated moderate to high internal consistency. Significant positive correlations were observed between GDS scores and global CDR scores. Ethno-racial group differences in depressive symptom endorsement were evident, with Black participants consistently reporting higher levels of symptoms across most GDS versions. However, American Indian/Alaska Native participants endorsed significantly fewer symptoms than Black participants in one GDS version. CONCLUSION: The study highlights the importance of considering ethno-racial differences in depressive symptomatology when assessing older adults. While the GDS demonstrates overall reliability, variations in symptom endorsement across different ethno-racial groups underscore the need for culturally sensitive assessment tools and interventions. Future research should further explore these group differences and develop tailored approaches to depression screening and treatment in diverse older adult populations.
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Depresión , Escalas de Valoración Psiquiátrica , Anciano , Anciano de 80 o más Años , Femenino , Humanos , Masculino , Negro o Afroamericano/psicología , Estudios Transversales , Depresión/diagnóstico , Depresión/etnología , Etnicidad , Evaluación Geriátrica/métodos , Escalas de Valoración Psiquiátrica/normas , Indio Americano o Nativo de Alaska/psicología , Blanco/psicologíaRESUMEN
BACKGROUND: Depression represents one of the leading causes of disability due to illness worldwide. Previous studies have demonstrated the significant heterogeneity of the diagnosis of depression, making it necessary to develop new diagnostic approaches. Network analysis is a perspective that considers symptoms as constituents of the psychiatric disorder itself. The objective was to determine the structure of depressive symptoms using the CES-D and ZDS depression scales. METHODS: Cross-sectional study of secondary analysis of 194 patients using the CES-D and ZDS scales. Correlation matrices and regularised partial correlation networks were constructed from the database. Centrality measures were estimated, and a network stability analysis was performed. RESULTS: On the CES-D scale, the most central item was "Sad"; while on the ZDS scale, the most central items were "Sad" and "Live". On the CES-D scale, the connection between "Enjoy" and "Happy" was the strongest. On the ZDS scale, the strongest connection was between the items "Live" with "Useful". The item "Morning" was the least connected on the ZDS. CONCLUSIONS: The most central symptom from the CES-D scale was sadness, while from the ZDS scale, was sadness and anhedonia.
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Depresión , Hospitales Generales , Pacientes Ambulatorios , Escalas de Valoración Psiquiátrica , Humanos , Perú , Estudios Transversales , Masculino , Femenino , Depresión/epidemiología , Depresión/diagnóstico , Adulto , Persona de Mediana Edad , Adulto Joven , Anciano , Adolescente , AnhedoniaRESUMEN
BACKGROUND: Depression is a common pregnancy complication yet is often under-detected and, subsequently, undertreated. Data collected through mobile health tools may be used to support the identification of depression symptoms in pregnancy. METHODS: An observational cohort study of 2062 pregnancies collected self-reports of patient history, mood, pregnancy-specific symptoms, and written language using a prenatal support app. These app inputs were used to model depression risk in subsequent 30- and 60-day periods throughout pregnancy. A selective inference lasso modeling approach examined the individual and additive value of each type of patient-reported app input. RESULTS: Depression models ranged in predictive power (AUC value of 0.64-0.83), depending on the type of inputs. The most predictive model included personal history, daily mood, and acute pregnancy-related symptoms (e.g., severe vomiting, cramping). Across models, daily mood was the strongest indicator of depression symptoms in the following month. Models that retained natural language inputs typically improved predictive accuracy and offered insight into the lived context associated with experiencing depression. LIMITATIONS: Our findings are not generalizable beyond a digitally literate patient population that is self-motivated to report data during pregnancy. CONCLUSIONS: Simple patient reported data, including sparse language, shared directly via digital tools may support earlier depression symptom identification and a more nuanced understanding of depression context.
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Depresión , Aplicaciones Móviles , Complicaciones del Embarazo , Autoinforme , Humanos , Femenino , Embarazo , Adulto , Complicaciones del Embarazo/psicología , Depresión/diagnóstico , Depresión/psicología , Estudios de Cohortes , Telemedicina , FenotipoRESUMEN
Patients with ITP have been reported to experience higher levels of depression and anxiety than their healthy counterparts. The limited research conducted on this subject in the pediatric age group has demonstrated that patients have psychosocial difficulties, and their quality of life is adversely affected. The correlation of depressive symptoms with disease characteristics of cITP has never been investigated. This was a cross-sectional study in patients being treated for cITP. Communication with participants was done during routine outpatient visits or by telephone or e-mail, and a survey about demographics and the Children's Depression Inventory (CDI) and the Social Anxiety Scale for Children-Revised (SAS-CR) was administered prospectively. A total of 56 children with cITP were recruited. The mean CDI score was 17 (SD: ± 9.44). Approximately half of the patients had higher CDI scores than healthy Turkish children. Older age, time since diagnosis, a number of hospitalizations (both total and within the last year) were positively correlated with CDI scores. There was no significant correlation between SAS-CR scores and disease characteristics. Depressive symptom scores were higher in children with cITP compared with healthy children in this study. Psychological needs may be overlooked in the medical management of children with cITP.
Asunto(s)
Ansiedad , Depresión , Púrpura Trombocitopénica Idiopática , Humanos , Estudios Transversales , Niño , Depresión/etiología , Depresión/diagnóstico , Masculino , Femenino , Adolescente , Púrpura Trombocitopénica Idiopática/psicología , Púrpura Trombocitopénica Idiopática/diagnóstico , Ansiedad/etiología , Preescolar , Calidad de Vida , Enfermedad CrónicaRESUMEN
INTRODUCTION: Based on the data from the China Health and Retirement longitudinal study (CHARLS), we aimed to investigate the bidirectional relationship between depressive symptoms and functional disability. METHODS: Data were collected across 3 waves from 2013 to 2018. The activities of daily living (ADLs) and the instrumental activities of daily living (IADLs) scales were used to measure functional disability and the CESD-10 was used to measure depressive symptoms. Cross-lagged models were performed to examine cross effect between depressive symptoms and functional disability across three waves. RESULTS: Data on 10,092(mean [SD] age, 61.98[8.44] years; 3764 females [37.30%]) and 10,180 participants (mean [SD] age, 62.01[8.46] years; 3788 females [37.21%]) in IADL sample and ADL sample were included in the analyses. For IADL disability, the cross-lagged model shows a bidirectional association across three waves; the multivariable GEE model revealed that changes in CESD-10 score across waves were associated with worse IADL disability (ß ranges: 0.08-0.10) and vice versa, worsen of IADL disability ascending developing of CESD-10 score (ß ranges: 0.09-0.10). For ADL disability, the cross-lagged model shows a bidirectional association across three waves; the multivariable GEE model revealed that changes of CESD-10 score across waves were associated with worse IADL disability (ß ranges: 0.08-0.10) and vice versa, worsen of IADL disability ascending developing of CESD-10 score (ß ranges: 0.09-0.10). DISCUSSION: Study findings underscore a significant bidirectional between depressive symptoms and functional disability in older adults. Thus, simultaneous intervention should be taken to manage the mutual development of functional disability and depression.