Comparison of Examinees’ and Doctors’ Judgement of Health Status Using Data in an AMHTS

1984 ◽  
Vol 23 (01) ◽  
pp. 15-22
Author(s):  
Y. Sekita ◽  
T. Ohta ◽  
M. Inoue ◽  
H. Takeda
Keyword(s):  
Health Status ◽  
Discriminant Analysis ◽  
Explanatory Power ◽  
Laboratory Data ◽  
Subjective Symptom ◽  
Health Conditions ◽  
Testing System ◽  
Multiple Discriminant Analysis ◽  
Canonical Axis ◽  
Using Data

SummaryJudgements of examinees’ health status by doctors and by the examinees themselves are compared applying multiple discriminant analysis. The doctors’ judgements of the examinees’ health status are studied comparatively using laboratory data and the examinees’ subjective symptom data.This data was obtained in an Automated Multiphasic Health Testing System. We discuss the health conditions which are significant for the judgement of doctors about the examinees. The results show that the explanatory power, when using subjective symptom data, is fair in the case of the doctors’ judgement. We found common variables, such as nervousness, lack of perseverance etc., which form the first canonical axis.

Determinants of Self-Perceived Changes in Health Status Among Pre- and Early-Retirement Populations

2003 ◽  
Vol 56 (3) ◽  
pp. 197-222 ◽  
Author(s):  
Namkee G. Choi
Keyword(s):  
Health Status ◽  
Early Retirement ◽  
Emotional Health ◽  
Health Conditions ◽  
Self Perception ◽  
Cross Sectional ◽  
Medical Interventions ◽  
Objective Health ◽  
Self Perceptions ◽  
Using Data

Using data from the 1992 and 1994 waves of the Health and Retirement Study (HRS), this study described reasons reported by pre- and early-retirement populations for perceived changes in global health status over a 2-year period. It then analyzed the association between self-perceptions of change and the actual changes in objective health conditions, controlling for demographics, emotional health status, and the changes in work status and health-affecting habits. The results were compared to the determinants of self-ratings of health at wave 2. Existing or increasing impairments in functional abilities were found to contribute to self-perceptions of decline. However, a diagnosis of new chronic disease and the experience of a major medical event per se did not universally contribute to self-perception of decline. The relationship between cross-sectional self-ratings of health and objective health conditions was more straightforward. Self-perception of improvement among people with serious health problems most likely owed to medical interventions and improvement in symptoms, the most frequently mentioned reasons for perceived improvement, and reflected the subjects' selective optimization and resiliency.

The validity of diagnostic systems for common mental disorders: a comparison between the ID-CATEGO and the DSM-III systems

1990 ◽  
Vol 20 (1) ◽  
pp. 209-218 ◽  
Author(s):  
David Grayson ◽  
Keith Bridges ◽  
Diane Cook ◽  
David Goldberg
Keyword(s):  
Discriminant Analysis ◽  
Depressive Disorders ◽  
Common Mental Disorders ◽  
Latent Trait ◽  
Mental Illnesses ◽  
Anxiety And Depression ◽  
Multiple Discriminant Analysis ◽  
Diagnostic Systems ◽  
Scale Scores ◽  
Initial Scale

SYNOPSISIt is argued that latent trait analysis provides a way of examining the construct validity of diagnostic concepts which are used to categorize common mental illnesses. The present study adds two additional aspects of validity using multiple discriminant analysis applied to two widely used taxonomic systems. Scales of anxiety and depression derived from previous latent trait analyses are applied to individuals reaching criteria for ‘caseness’ on the ID-CATEGO system and the DSM-III system, both at initial diagnosis and six months later. The first multiple discriminant analysis is carried out on the initial scale scores, and the results are interpreted in terms of concurrent validity. The second analysis uses improvement scores on the two scales and relates to predictive validity. It is argued that the ID-CATEGO system provides a better classification for common mental illnesses than the DSM-III system, since it allows a better discrimination to be made between anxiety and depressive disorders.

scholarly journals The Impact of Work Characteristics on Social Distancing: Implications at the Time of COVID-19

2021 ◽  
Vol 18 (10) ◽  
pp. 5074
Author(s):  
Keisuke Kokubun ◽  
Yoshinori Yamakawa
Keyword(s):  
Information Processing ◽  
Multiple Regression ◽  
Explanatory Power ◽  
Work Conditions ◽  
Multiple Regression Model ◽  
Social Characteristics ◽  
Work Characteristics ◽  
Social Distancing ◽  
Using Data ◽  
The Impact

The coronavirus disease (COVID-19) continues to spread globally. While social distancing has attracted attention as a measure to prevent the spread of infection, some occupations find it difficult to implement. Therefore, this study aims to investigate the relationship between work characteristics and social distancing using data available on O*NET, an occupational information site. A total of eight factors were extracted by performing an exploratory factor analysis: work conditions, supervisory work, information processing, response to aggression, specialization, autonomy, interaction outside the organization, and interdependence. A multiple regression analysis showed that interdependence, response to aggression, and interaction outside the organization, which are categorized as ”social characteristics,” and information processing and specialization, which are categorized as “knowledge characteristics,” were associated with physical proximity. Furthermore, we added customer, which represents contact with the customer, and remote working, which represents a small amount of outdoor activity, to our multiple regression model, and confirmed that they increased the explanatory power of the model. This suggests that those who work under interdependence, face aggression, and engage in outside activities, and/or have frequent contact with customers, little interaction outside the organization, and little information processing will have the most difficulty in maintaining social distancing.

Calculation of Predictive Odds for Possible Carriers of Haemophilia

1975 ◽  
Author(s):  
G. D. Forbes ◽  
A. D. McLaren ◽  
C. R. M. Prentice
Keyword(s):  
Biological Activity ◽  
Discriminant Analysis ◽  
Factor Viii ◽  
Factor Vii ◽  
Control Group ◽  
Posterior Odds ◽  
Linear Discriminant ◽  
Bayesian Calculation ◽  
Using Data ◽  
Betting Odds

The predictive odds for possible carriers of haemophilia have been calculated using data derived from normal and known carrier populations. For each individual the concentration of factor VII-related antigen (A) and factor VIII biological activity (B) was measured. The data has been studied by linear discriminant analysis linked to a Bayesian calculation of posterior odds using the predictive distributions of both the normal and obligatory carrier populations. The proportion of possible carriers assigned to the definite carrier group or control group is dependent on which betting odds are regarded as most suitable for counselling patients. For instance, if betting odds of 5 : 1 were given it was possible to assign 22 of 32 possible carriers (69 per cent) to control or carrier groups. Of this group of 22 possible carriers, 11 were thought to be normal and 11 were thought to be haemophilia carriers.

Sign in / Sign up

Export Citation Format

Share Document