No abstract available.
Aged* ; Humans

No abstract available.
Cough*

No abstract available.
Urinary Bladder*

No abstract available.
Aging*

The purposeof this project is offering fundamental and proper informations for the better health control and personnel management of the enlisted men of Marine corps. Korea. Survey has been done under 1,001 marine enlisted men for the purpose of understanding their condition of physique, vital capacity, and bodily strength. 1. Under the subject of physique, 7 items, body weight, chest-girth, relative body weight, relative chest-girth, Vervaeck index, and Roethrer index are listed, and under the subject of vital capacity, BTPS vital capacity and percent predicted vital capacity are listed, and under the subject of bodily strength, 7 items, grasping power, chining-up, throwing a hanp-grenade, forward jumping, sitting-up, 100 meter sprinting, are listed. The total items are 16 and mean score of each one is as follow. 1) physique. a. Height : 168+/-0.15cm. b. Body weight : 62.7+/-0.17kg. c. Chest-grith : 91.4+/-0.16cm. d. Relative body-girth : 37.2+/-0.09. e. Relative Chest-girth : 54.3+/-0.10. f. Vervaeck index : 91.6+/-0.15. g. Roehere index : 1.31+/-0.003. 2) Vital capacity. a. BTPS vital capacity : 4470+/-20cc. b. %Predicted vital capacity : 150+/-5.1% 3) Bodily strength. a. Grasping Power : 41.4+/-0.26kg. b. Chining-up : 5.7+/-0.10. c. Throwing a hand-grenade : 39.7+/-0.20m. d. Forward jumping : 214+/-0.58cm. e. Sitting-up : 19.1+/-0.25. . Pushing-up : 22.1+/-0.18. g. 100 meter sprinting : 16.1+/-0.04sec. 2. Comparative analysis has been done about the conditional classes of marine enlisted men with the results of above mentioned 16 items. 7 classes according to the branches, 3 according to the ranks, 9 according to the length of service are adopted respectively.
Body Weight ; Hand Strength ; Humans ; Korea* ; Male ; Personnel Management ; Vital Capacity

Macular atrophy is relatively rare skin disease and is characterized histologically by deficiency of elastic fibers and clinically by circumscribed area of thin, wrinkled bulging out skin. Whether the association with identificable specific dermatosis or not divides the macular atrophy into primary & secondary type. I present a case of widespreaded primary macular atrophy. A 28 year old male has been suffered from symptomless, slowly progressive, numerous, well demarcated, neither coalesced nor grouped, rice sized, round to oval shaped, hypopigmented, protruded, wrinkled surfaced eruptions which began from both flank at first about 3 years ago and then spreaded to abdomen, chest, back and all extremities except hands & feet. General physical & laboratory examinaions did not show distinct abnormality except skin tindings. Histopatholgical study revealed fragmentation, scantiness or disappearance of elastic fibers by means of Verhoeff-VanGieson stain and no increase of Periodic acid-Schiff stain positive material ruled out the possibility of amyloidosis. Diagnosis was confirmed by clinical & histochemical findings. Literature was briefly reviwed for the discussion.
Abdomen ; Adult ; Amyloidosis ; Atrophy* ; Diagnosis ; Elastic Tissue ; Extremities ; Foot ; Hand ; Humans ; Male ; Skin ; Skin Diseases ; Thorax

No abstract available.
Diagnosis* ; Food Hypersensitivity*

No abstract available.
Probiotics*

The major objective of this research is to identify those hospital characteristics that best explain cost variation among hospitals and to formulate linear models that can predict hospital costs. Specific emphasis is placed on hospital output, that is, the identification of diagnosis related patient groups (DRGs) which are medically meaningful and demonstrate similar patterns of hospital resource consumption. A casemix index is developed based on the DRGs identified. Considering the common problems encountered in previous hospital cost research, the following study requirements are established for fulfilling the objectives of this research: 1. Selection of hospitals that exercise similar medical and fiscal practices. 2. Identification of an appropriate data collection mechanism in which demographic and medical characteristics of individual patients as well as accurate and comparable cost information can be derived. 3. Development of a patient classification system in which all the patients treated in hospitals are able to be split into mutually exclusive categories with consistent and stable patterns of resource consumption. 4. Development of a cost finding mechanism through which patient groups' costs can be made comparable across hospitals. A data set of Medicare patients prepared by the Social Security Administration was selected for the study analysis. The data set contained 27,229 record abstracts of Medicare patients discharged from all but one short-term general hospital in Connecticut during the period from January 1, 1971, to December 31, 1972. Each record abstract contained demographic and diagnostic information, as well as charges for specific medical services received. The "AUTOGRP System" was used to generate 198 DRGs in which the entire range of Medicare patients were split into mutually exclusive categories, each of which shows a consistent and stable pattern of resource consumption. The "Departmental Method" was used to generate cost information for the groups of Medicare patients that would be comparable across hospitals. To fulfill the study objectives, an extensive analysis was conducted in the following areas: 1. Analysis of DRGs: in which the level of resource use of each DRG was determined, the length of stay or death rate of each DRG in relation to resource use was characterized, and underlying pattern of the relationships among DRG costs were explained. 2. Exploration of resource use profiles of hospitals; in which the magnitude of differences in the resource uses or death rates incurred in the treatment of Medicare patients among this study hospitals was explored. 3. Casemix analysis; in which four types of casemix-related indices were generated, and the significance of these indices in the explanation of hospital costs was examined. 4. Formulation of linear models to predict hospital costs of Medicare patients; in which nine independent variables(i.e., casemix index, hospital size, complexity of service, teaching activity, location, casemix-adjusted death rate index, occupancy rate, and casemix-adjusted length of stay index) were used for determining factors in hospital costs. Results from the study analysis indicated that: 1. The system of 198 DRGs for Medicare patient classification was demonstrated not only as a strong tool for determining the pattern of hospital resource utilization of Medicare patients, but also for categorizing patients by their severity of illness. 2. The weighted mean total case cost(TOTC) of the study hospitals for Medicare patients during the study years was $1127.02 with a standard deviation of $117.20. The hospital with the highest average TOTC ($1538.15) was 2.08 times more expensive than the hospital with the lowest average TOTC ($745.45). The weighted mean per total cost (DTOC) of the study hospitals for Medicare patients during the study years was $107.98 with a standard deviation of $15.18. The hospital with the highest average DTOC ($147.23) was 1.87 times more expensive than the lowest average DTOC($78.49). 3. The linear models for each of the six types of hospital costs were formulated using the casemix index and the eight other hospital variables as the determinants. These models explained variable to the extent of 68.7 percent of total case cost (TOTC), 63.5 percent of room and board cost (RMC), 66.2 percent of total ancillary service cost (TANC), 66.3 percent of per diem total cost (DTOC), 56.9 percent of per diem room and board cost (DRMC), and 65.5 percent of per diem ancillary service cost (DTANC). The casemix index alone explained approximately one half of inter-hospital cost variation; 59.1 percent for TOTC and 44.3 percent for DTOC. These results demonstrate that the casemix index is the most important determinant of inter-hospital cost variation. Future research and policy implications in regard to the results of this study is envisioned in the following three areas: 1. Utilization of casemix-related indices in the Medicare data systems. 2. Refinement of data for hospital cost evaluation. 3. Development of a system for reimbursement and cost control in hospitals.
Classification ; Connecticut ; Cost Control ; Data Collection ; Dataset ; Diagnosis ; Diagnosis-Related Groups ; Health Facility Size ; Hospital Costs* ; Hospitals, General ; Humans ; Information Systems ; Length of Stay ; Linear Models ; Medicare ; Mortality ; Population Characteristics* ; United States Social Security Administration

No abstract available.