scholarly journals Synthetic House-Tree-Person Drawing Test: A New Method for Screening Anxiety in Cancer Patients

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Lijuan Sheng ◽  
Guifang Yang ◽  
Qian Pan ◽  
Chunfang Xia ◽  
Liping Zhao
Keyword(s):  
Cancer Patients ◽  
Interrater Reliability ◽  
Regression Equation ◽  
Anxiety State ◽  
Independent Variables ◽  
Drawing Test ◽  
Specific Complex ◽  
Test Retest Reliability ◽  
Projective Measure ◽  
Logistic Regression Equation

The synthetic house-tree-person (S-HTP) drawing test is a projective measure primarily designed to assess specific complex personality traits. It is widely used in general psychological problems and mental illness such as psychological crisis intervention. Applicability and validity of S-HTP drawing test in cancer patients suffering from anxiety are still unclear and there are no reports on such research. The aim of this study was to explore the prevalence of anxiety in cancer patients and to investigate the applicability of S-HTP drawing test in such patients. Self-rating anxiety scale (SAS) and the S-HTP drawing test were applied to 167 cancer patients (58.7% male; 41.3% female), 52.92±10.43 years old. On SAS, anxiety rate was found in 16.17% cancer patients. Using the evaluation results from SAS as the dependent variable and the anxiety drawing characteristics as the independent variables, the logistic regression equation was established, and 9 drawing features were employed in the regression equation (χ2=56.982, P≤0.001, Nagelkerke R2=0.492). It is concluded that there is a positive correlation between S-HTP drawing test and SAS for anxiety state of cancer patients (p<0.01). S-HTP drawing test and SAS have interrater reliability and test-retest reliability. Our findings indicate that the S-HTP drawing test could help in screening anxiety in cancer patients.

scholarly journals Association of Synthetic House-Tree-Person Drawing Test and Depression in Cancer Patients

2019 ◽  
Vol 2019 ◽  
pp. 1-8
Author(s):  
Guifang Yang ◽  
Liping Zhao ◽  
Lijuan Sheng
Keyword(s):  
Cancer Patients ◽  
Depression Scale ◽  
Population Based ◽  
Cross Sectional Study ◽  
General Information ◽  
Regression Equation ◽  
Cross Sectional ◽  
Patients With Cancer ◽  
Drawing Test ◽  
Test Retest Reliability

Background. Evidence regarding the relationship between synthetic house-tree-person (S-HTP) drawing test and depression in cancer patients is limited. The aim of this study was to explore the applicability and validity of S-HTP drawing test in cancer patients suffering from depression. Methods. As a population based cross-sectional study, 167 patients with cancer were enrolled in a hospital in China from December 2015 to December 2017. Self-edited general information questionnaire, self-rating depression scale (SDS), and the S-HTP drawing test were completed by all participants. Results. The average age of 167 selected participants was 52.92 ± 10.43 years old, and about 58.7% (98/167) of them were male. On SDS, depression rate was found in 34.1% (27/167) cancer patients. The logistic regression equation was established by using the depression drawing characteristics as the independent variables and the evaluation results from SDS as the dependent variable and 9 drawing characteristics employed in the regression equation (χ2 = 68.657, P < 0.001. Nagelkerke R2 = 0.466). Correlation analysis revealed a positive correlation between S-HTP drawing test and SDS for depression state of cancer patients (p < 0.01). Conclusions. There are interrater reliability and test-retest reliability between S-HTP drawing test and SDS. The S-HTP drawing test could help in screening depression in cancer patients.

Test-Retest Reliability of a Self-Report Questionnaire for DSM-IV and ICD-10 Personality Disorders

2000 ◽  
Vol 16 (1) ◽  
pp. 53-58 ◽  
Author(s):  
Hans Ottosson ◽  
Martin Grann ◽  
Gunnar Kullgren
Keyword(s):  
Personality Disorder ◽  
Anxiety Disorders ◽  
Personality Disorders ◽  
Clinical Sample ◽  
Self Report ◽  
Anxiety State ◽  
Short Term ◽  
Retest Reliability ◽  
Axis I ◽  
Test Retest Reliability

Summary: Short-term stability or test-retest reliability of self-reported personality traits is likely to be biased if the respondent is affected by a depressive or anxiety state. However, in some studies, DSM-oriented self-reported instruments have proved to be reasonably stable in the short term, regardless of co-occurring depressive or anxiety disorders. In the present study, we examined the short-term test-retest reliability of a new self-report questionnaire for personality disorder diagnosis (DIP-Q) on a clinical sample of 30 individuals, having either a depressive, an anxiety, or no axis-I disorder. Test-retest scorings from subjects with depressive disorders were mostly unstable, with a significant change in fulfilled criteria between entry and retest for three out of ten personality disorders: borderline, avoidant and obsessive-compulsive personality disorder. Scorings from subjects with anxiety disorders were unstable only for cluster C and dependent personality disorder items. In the absence of co-morbid depressive or anxiety disorders, mean dimensional scores of DIP-Q showed no significant differences between entry and retest. Overall, the effect from state on trait scorings was moderate, and it is concluded that test-retest reliability for DIP-Q is acceptable.

scholarly journals Reliability and Responsiveness of Two Physical Performance Measures Examined in the Context of a Functional Training Intervention

2000 ◽  
Vol 80 (1) ◽  
pp. 8-16 ◽  
Author(s):  
Mary B King ◽  
James O Judge ◽  
Robert Whipple ◽  
Leslie Wolfson
Keyword(s):  
Physical Performance ◽  
Interrater Reliability ◽  
Intraclass Correlation ◽  
Intervention Group ◽  
Training Intervention ◽  
Control Group ◽  
Walk Test ◽  
Test Retest Reliability ◽  
6 Minute Walk Test ◽  
Minute Walk

Abstract Background and Purpose. The reliability and responsiveness of 2 physical performance measures were assessed in this nonrandomized, controlled pilot exercise intervention. Subjects. Forty-five older individuals with mobility impairment (mean age=77.9 years, SD=5.9, range=70–92) were sequentially assigned to participate in an exercise program (intervention group) or to a control group. Methods. The intervention group performed exercise 3 times a week for 12 weeks that targeted muscle force, endurance, balance, and flexibility. Outcome measures were the 8-item Physical Performance Test (PPT-8) and the 6-minute walk test. Test-retest reliability and responsiveness indexes were determined for both tests; interrater reliability was measured for the PPT-8. Results. The intraclass correlation coefficient for interrater reliability for the PPT-8 was .96. Intraclass correlation coefficients for test-retest reliability were .88 for the PPT-8 and .93 for the 6-minute walk test. The intervention group improved 2.4 points and the control group improved 0.7 point on the PPT-8, as compared with baseline measurements. There was no change in 6-minute walk test distance in the intervention group when compared with the control group. The responsiveness index was .8 for the PPT-8 and .6 for the 6-minute walk test. Conclusion and Discussion. Measurements for both the PPT-8 and the 6-minute walk test appeared to be highly reliable. The PPT-8 was more responsive than the 6-minute walk test to change in performance expected with this functional training intervention.

Interrater Reliability of Three Clock Drawing Test Scoring Systems

2001 ◽  
Vol 8 (3) ◽  
pp. 174-179 ◽  
Author(s):  
Marne B. South ◽  
Kevin W. Greve ◽  
Kevin J. Bianchini ◽  
Donald Adams
Keyword(s):  
Interrater Reliability ◽  
Scoring Systems ◽  
Clock Drawing Test ◽  
Clock Drawing ◽  
Drawing Test ◽  
Test Scoring

Office and Industrial

2002 ◽  
Author(s):  
Grant Ian Thrall
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Regression Equation ◽  
Hedonic Models ◽  
Commercial Building ◽  
Dummy Variables ◽  
The Real Estate ◽  
Market Rent ◽  
Independent Variables ◽  
Commercial Space

A developer needs advice on the market for commercial space, including office and industrial properties. An owner of a commercial building needs to determine how much to charge for leased space, how much to sell the property for, or how much the property can be refinanced for. A purchaser needs to determine if market conditions support purchasing commercial space, or renting, and at what price. The real estate market analyst is responsible for the creation and assembly of information to guide such decisions. A background overview of real estate market analysis for the product categories of office and industrial projects is presented. The hedonic approach hypothesizes that a variety of phenomena contribute in one way or another to determining market rent. In a hedonic model, office or industrial property rent or occupancy rate may be the dependent variable of a regression equation, as explained in chapter 4. The phenomena that are hypothesized to cause the value of the dependent variable are the independent variables of the regression equation. Some examples of independent variables that have been hypothesized and examined in hedonic models as to their contribution to determining office market rent are listed below: . . . Terms of lease (Glascock et al. 1990). Architectural design (Hough and Kratz 1983) Building characteristics (Vandell and Lane 1989) Access to white collar employment (Clapp 1980) Local property tax rates (Wheaton 1984) Status and prestige (Archer 1981; Archer et al. 1990) Agglomeration—benefits of high geographic concentrations of specialized office establishments for specific kinds of industry (Gad 1979; Kroll 1984) Spillovers from close geographic proximity (Clapp et al. 1992). . . . Hedonic models might also include dummy variables as independent variables to represent the presence of some characteristic or phenomenon. The dummy variables have an assigned the value of 1.0 to denote the occurrence of some characteristic and 0.0 to denote its absence. An expectation must be developed by the analyst on how markets and submarkets differ in their rents, vacancy rates, and absorption rates and what their trend is expected to be.

Test/retest study of the European Organization for Research and Treatment of Cancer Core Quality-of-Life Questionnaire.

1995 ◽  
Vol 13 (5) ◽  
pp. 1249-1254 ◽  
Author(s):  
M J Hjermstad ◽  
S D Fossa ◽  
K Bjordal ◽  
S Kaasa
Keyword(s):  
Quality Of Life ◽  
Cancer Patients ◽  
Reliability And Validity ◽  
Life Questionnaire ◽  
European Organization ◽  
Retest Reliability ◽  
Eortc Qlq C30 ◽  
Eortc Qlq ◽  
Test Retest Reliability

PURPOSE The European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire (EORTC QLQ-C30) is a well-validated instrument that assesses health-related quality of life (HRQOL) in cancer patients. It is used in cancer clinical trials in Europe, Canada, and the United States, and has demonstrated high reliability and validity in different groups of cancer patients. Despite thorough testing of reliability and validity, we have not identified any reports on its test/retest reliability; thus, a test/retest study was performed at the Norwegian Radium Hospital (NRH). MATERIALS AND METHODS Cancer patients from the outpatient clinic who were off treatment for > or = 3 months were eligible for the study. The EORTC QLQ-C30 was given to the patients when they presented for their visit. The second questionnaire was received by the patients 4 days later. Of 291 eligible patients, 270 (93%) agreed to participate and 190 (73%) completed both questionnaires. RESULTS The test/retest reliability measured by Pearson's correlation coefficient was high for all functional scales, with a range from .82 for cognitive and role function to .91 for physical function. The r value for global HRQOL was .85. For the symptom scales--nausea/vomiting, fatigue, and pain--the coefficients were .63, .83, and .86, respectively. The single-item coefficients ranged from .72 for diarrhea to .84 for financial impact. The Spearman rank correlation was in the same range for all dimensions. CONCLUSION The EORTC QLQ-C30 seems to yield high test/retest reliability in patients with various cancer diagnoses whose condition is not expected to change during the time of measurement.

scholarly journals Reliability of Safe Maximum Lifting Determinations of a Functional Capacity Evaluation

2002 ◽  
Vol 82 (4) ◽  
pp. 364-371 ◽  
Author(s):  
Douglas P Gross ◽  
Michele C Battié
Keyword(s):  
Functional Capacity ◽  
Repeated Measures ◽  
Interrater Reliability ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Functional Capacity Evaluation ◽  
Measurement Variability ◽  
Retest Reliability ◽  
Repeated Measures Design ◽  
Test Retest Reliability

Abstract Background and Purpose. Functional capacity evaluations (FCEs) are measurement tools used in predicting readiness to return to work following injury. The interrater and test-retest reliability of determinations of maximal safe lifting during kinesiophysical FCEs were examined in a sample of people who were off work and receiving workers' compensation. Subjects. Twenty-eight subjects with low back pain who had plateaued with treatment were enrolled. Five occupational therapists, trained and experienced in kinesiophysical methods, conducted testing. Methods. A repeated-measures design was used, with raters testing subjects simultaneously, yet independently. Subjects were rated on 2 occasions, separated by 2 to 4 days. Analyses included intraclass correlation coefficients (ICCs) and 95% confidence intervals. Results. The ICC values for interrater reliability ranged from .95 to .98. Test-retest values ranged from .78 to .94. Discussion and Conclusion. Inconsistencies in subjects' performance across sessions were the greatest source of FCE measurement variability. Overall, however, test-retest reliability was good and interrater reliability was excellent.

scholarly journals Logistic regression model to predict acute uncomplicated and complicated appendicitis

2019 ◽  
Vol 101 (2) ◽  
pp. 107-118 ◽  
Author(s):  
MMR Eddama ◽  
KC Fragkos ◽  
S Renshaw ◽  
M Aldridge ◽  
G Bough ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Multivariate Analysis ◽  
Odds Ratio ◽  
Web Application ◽  
Univariate Analysis ◽  
Complicated Appendicitis ◽  
Regression Equation ◽  
Normal Appendix ◽  
Uncomplicated Appendicitis ◽  
Logistic Regression Equation

Introduction While patients with acute uncomplicated appendicitis may be treated conservatively, those who suffer from complicated appendicitis require surgery. We describe a logistic regression equation to calculate the likelihood of acute uncomplicated appendicitis and complicated appendicitis in patients presenting to the emergency department with suspected acute appendicitis. Materials and methods A cohort of 895 patients who underwent appendicectomy were analysed retrospectively. Depending on the final histology, patients were divided into three groups; normal appendix, acute uncomplicated appendicitis and complicated appendicitis. Normal appendix was considered the reference category, while acute uncomplicated appendicitis and complicated appendicitis were the nominal categories. Multivariate and univariate regression models were undertaken to detect independent variables with significant odds ratio that can predict acute uncomplicated appendicitis and complicated appendicitis. Subsequently, a logistic regression equation was generated to produce the likelihood acute uncomplicated appendicitis and complicated appendicitis. Results Pathological diagnosis of normal appendix, acute uncomplicated appendicitis and complicated appendicitis was identified in 188 (21%), 525 (59%) and 182 patients (20%), respectively. The odds ratio from a univariate analysis to predict complicated appendicitis for age, female gender, log2 white cell count, log2 C-reactive protein and log2 bilirubin were 1.02 (95% confidence interval, CI, 1.01, 1.04), 2.37 (95% CI 1.51, 3.70), 9.74 (95% CI 5.41, 17.5), 1.57 (95% CI 1.40, 1.74), 2.08 (95% CI 1.56, 2.76), respectively. For the same variable, similar odds ratios were demonstrated in a multivariate analysis to predict complicated appendicitis and univariate and multivariate analysis to predict acute uncomplicated appendicitis. Conclusions The likelihood of acute uncomplicated appendicitis and complicated appendicitis can be calculated by using the reported predictive equations integrated into a web application at www.appendistat.com. This will enable clinicians to determine the probability of appendicitis and the need for urgent surgery in case of complicated appendicitis.

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