G535 Evaluation of mental health among thalassemia patients and their siblings using pediatric symptom checklist (psc-17) questionnaire

2019 ◽  
Author(s):  
S Sen ◽  
K Mullanfiroze ◽  
S Tulpule ◽  
S Gupta ◽  
S Sen
Keyword(s):  
Mental Health ◽  
Symptom Checklist ◽  
Pediatric Symptom Checklist

Identification and Utility of a Short Form of the Pediatric Symptom Checklist-Youth Self-Report (PSC-17-Y)

2020 ◽  
Vol 36 (1) ◽  
pp. 56-64
Author(s):  
Paul Bergmann ◽  
Cara Lucke ◽  
Theresa Nguyen ◽  
Michael Jellinek ◽  
John Michael Murphy
Keyword(s):  
Psychosocial Functioning ◽  
Short Form ◽  
Parent Report ◽  
Self Report ◽  
Symptom Checklist ◽  
Factor Analyses ◽  
Youth Self Report ◽  
Confirmatory Factor Analyses ◽  
Pediatric Symptom Checklist ◽  
Exploratory Factor Analyses

Abstract. The Pediatric Symptom Checklist-Youth self-report (PSC-Y) is a 35-item measure of adolescent psychosocial functioning that uses the same items as the original parent report version of the PSC. Since a briefer (17-item) version of the parent PSC has been validated, this paper explored whether a subset of items could be used to create a brief form of the PSC-Y. Data were collected on more than 19,000 youth who completed the PSC-Y online as a self-screen offered by Mental Health America. Exploratory factor analyses (EFAs) were first conducted to identify and evaluate candidate solutions and their factor structures. Confirmatory factor analyses (CFAs) were then conducted to determine how well the data fit the candidate models. Tests of measurement invariance across gender were conducted on the selected solution. The EFAs and CFAs suggested that a three-factor short form with 17 items is a viable and most parsimonious solution and met criteria for scalar invariance across gender. Since the 17 items used on the parent PSC short form were close to the best fit found for any subsets of items on the PSC-Y, the same items used on the parent PSC-17 are recommended for the PSC-Y short form.

Pediatric Symptom Checklist-Youth Self-Report--Short Form

2018 ◽  
Author(s):  
Paul Bergmann ◽  
Cara Lucke ◽  
Theresa Nguyen ◽  
Michael Jellinek ◽  
John Michael Murphy
Keyword(s):  
Short Form ◽  
Self Report ◽  
Symptom Checklist ◽  
Youth Self Report ◽  
Pediatric Symptom Checklist

scholarly journals Longitudinal Change of Mental Health among Active Social Media Users in China during the COVID-19 Outbreak

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 833
Author(s):  
Tianli Liu ◽  
Sijia Li ◽  
Xiaochun Qiao ◽  
Xinming Song
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Repeated Measures ◽  
Mainland China ◽  
Longitudinal Change ◽  
Symptom Checklist ◽  
Learning Models ◽  
Online Data ◽  
Repeated Measures Analysis ◽  
Machine Learning Models

During the COVID-19 pandemic, every day, updated case numbers and the lasting time of the pandemic became major concerns of people. We collected the online data (28 January to 7 March 2020 during the COVID-19 outbreak) of 16,453 social media users living in mainland China. Computerized machine learning models were developed to estimate their daily scores of the nine dimensions of the Symptom Checklist—90 (SCL-90). Repeated measures analysis of variance (ANOVA) was used to compare the SCL-90 dimension scores between Wuhan and non-Wuhan residents. Fixed effect models were used to analyze the relation of the estimated SCL-90 scores with the daily reported cumulative case numbers and lasting time of the epidemic among Wuhan and non-Wuhan users. In non-Wuhan users, the estimated scores for all the SCL-90 dimensions significantly increased with the lasting time of the epidemic and the accumulation of cases, except for the interpersonal sensitivity dimension. In Wuhan users, although the estimated scores for all nine SCL-90 dimensions significantly increased with the cumulative case numbers, the magnitude of the changes was generally smaller than that in non-Wuhan users. The mental health of Chinese Weibo users was affected by the daily updated information on case numbers and the lasting time of the COVID-19 outbreak.

The Pediatric Symptom Checklist: Validation in the Real World of Middle School

1989 ◽  
Vol 14 (4) ◽  
pp. 629-639 ◽  
Author(s):  
J. Michael Murphy ◽  
Michael Jellinek ◽  
Sharon Milinsky
Keyword(s):  
Middle School ◽  
Real World ◽  
Symptom Checklist ◽  
The Real ◽  
Pediatric Symptom Checklist

Psychosocial Screening Among Youth Seeking Weight Management Treatment

2017 ◽  
Vol 57 (3) ◽  
pp. 277-284 ◽  
Author(s):  
Megan B. Ratcliff ◽  
Perry A. Catlin ◽  
James L. Peugh ◽  
Robert M. Siegel ◽  
Shelley Kirk ◽  
...  
Keyword(s):  
At Risk ◽  
Weight Management ◽  
Retrospective Chart Review ◽  
Self Report ◽  
Risk Scores ◽  
Symptom Checklist ◽  
Patients Âgés ◽  
Pediatric Symptom Checklist ◽  
Obese Youth ◽  
Caregiver Report

The objectives of this study were to identify rates of, and factors associated with, “at-risk” scores on a brief psychosocial screener among overweight/obese youth seeking weight management treatment, as well as concordance between youth and caregiver reports. A retrospective chart review of 1443 consecutive patients ages 4 to 18 years and their caregivers was conducted. Almost 1 in 4 youth with overweight/obesity presented with psychosocial symptoms in the at-risk range for significant mental health issues based on caregiver report on the Pediatric Symptom Checklist (PSC) and 1 in 6 based on youth self-report on the Youth Pediatric Symptom Checklist (Y-PSC). Concordance between caregiver and youth was fair (agreement 24% to 40%). Higher scores were associated with male sex and older age on the PSC and with indication of depressive disorder in the electronic medical record on the Y-PSC. Conducting a brief psychosocial screen in comprehensive weight management programs is feasible and clinically indicated.

Investigating school children’s behavioral and emotional problems using pediatric symptoms checklist-17 in a structural equation modeling framework

2020 ◽  
Vol 41 (3) ◽  
pp. 257-275
Author(s):  
Jin Liu ◽  
Siying Guo ◽  
Ruiqin Gao ◽  
Christine DiStefano
Keyword(s):  
Learning Outcomes ◽  
Structural Equation ◽  
Emotional Problems ◽  
Attention Problems ◽  
Equation Modeling ◽  
Measures Of Academic Progress ◽  
Symptom Checklist ◽  
Behavioral And Emotional Problems ◽  
Pediatric Symptom Checklist ◽  
Reading And Math

The Pediatric Symptom Checklist-17 was originally used in primary care settings with parents to identify their children’s behavioral and emotional problems, but there has been some research supporting use of this scale in school settings. This study examined: (a) the factor structure and measurement invariance of the teacher-rated Pediatric Symptom Checklist-17 and (b) complex relationships among demographic characteristics, behavioral and emotional problems, and learning outcomes using structural equation modeling in elementary schools. A sample of 508 children in grades one and two were rated by their teachers with the Pediatric Symptom Checklist-17. Measures of Academic Progress test was utilized to measure participants’ learning outcomes in reading and math. The results confirmed a three-factor structure of the Pediatric Symptom Checklist-17 (internalizing problems, externalizing problems, and attention problems) and attested the measurement invariance across different demographic groups (i.e. gender, ethnicity, and grade levels). Boys were more likely to have severe attention problems which were associated with lower learning outcomes as seen by Measures of Academic Progress reading and math scores. Attention problems mediated the relationship between gender and learning outcomes. This study has implications for the use of the Pediatric Symptom Checklist-17 in school-based settings. Additionally, it highlights the potential relationships among gender, attention problems, and learning outcomes.

scholarly journals Assessing Mental Health for China’s Police: Psychometric Features of the Self-Rating Depression Scale and Symptom Checklist 90-Revised

2020 ◽  
Vol 17 (8) ◽  
pp. 2737 ◽  
Author(s):  
I-Hua Chen ◽  
Chung-Ying Lin ◽  
Xia Zheng ◽  
Mark D. Griffiths
Keyword(s):  
Mental Health ◽  
Police Officers ◽  
Factor Model ◽  
Mainland China ◽  
Depression Scale ◽  
Jiangxi Province ◽  
Symptom Checklist ◽  
Traffic Police ◽  
Self Rating ◽  
Three Factor

Police mental health is important because police officers usually encounter stressors that cause high levels of stress. In order to better understand mental health for Chinese police, the Zung Self-Rating Depression Scale (SDS) and Symptom Checklist 90-Revised (SCL-90-R) are commonly used in mainland China. Unfortunately, both the SDS and SCL-90-R lack detailed information on their psychometric properties. More specifically, factor structures of the SDS and SCL-90-R have yet to be confirmed among the police population in mainland China. Therefore, the present study compared several factor structures of the SDS and SCL-90-R proposed by prior research and to determine an appropriate structure for the police population. Utilizing cluster sampling, 1151 traffic police officers (1047 males; mean age = 36.6 years [SD = 6.10]) from 49 traffic police units in Jiangxi Province (China) participated in this study. Confirmatory factor analysis (CFA) with Akaike information criterion (AIC) was used to decide the best fit structure. In the SDS, the three-factor model (first posited by Kitamura et al.) had the smallest AIC and outperformed other models. In the SCL-90-R, the eight-factor model had the smallest AIC and outperformed the one-factor and nine-factor models. CFA fit indices also showed that both the three-factor model in the SDS and the eight-factor model in the SCL-90-R had satisfactory fit. The present study’s results support the use of both SDS and SCL-90-R for police officers in mainland China.

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