日本衛生学雑誌
Online ISSN : 1882-6482
Print ISSN : 0021-5082
ISSN-L : 0021-5082
61 巻, 4 号
選択された号の論文の3件中1~3を表示しています
  • 日吉 峰麗, 上村 浩一, 武田 英雄, 木戸 博, 有澤 孝吉
    2006 年 61 巻 4 号 p. 393-399
    発行日: 2006/09/15
    公開日: 2009/02/17
    ジャーナル フリー
    Recent progress in life science technology and the availability of much information on genes obtained by genome analysis has enabled us to analyze the changes of proteins on a large scale. Sets of proteins are called proteomes, and proteomics is the scientific field of proteome analysis including differential, post translational modification and interaction analyses. Various proteomic techniques, particularly two-dimensional gel electrophoresis (2-DE), mass spectrometry, protein chip methods, and surface plasmon resonance (SPR), are very useful for acquiring proteomes in cells, tissues and body fluid, and for analyzing interactions between a protein and other biofactors including proteins. A proteomic approach is also useful for determining biomarkers of diseases and key proteins involved in various stages of metabolism such as differentiation, cell cycle and apoptosis. Environmental pollutants including endocrine disruptors inhibit activities of various organs in wild animals and humans. Proteomic approaches could be very useful tools for elucidating the mechanisms of damage caused by environmental pollutants. In this review, we describe the application of a proteomic approach to the field of environmental medicine.
  • 石原 礼子, 馬場園 明, 亀 千保子, 西岡 和男
    2006 年 61 巻 4 号 p. 400-406
    発行日: 2006/09/15
    公開日: 2009/02/17
    ジャーナル フリー
    Objective: The purpose of this study is to determine the relationships between the state of mental health and indicators of medical expenses for inpatient, outpatient and dental services.
    Methods: This study was conducted using data from 140 people (54 males and 86 females) who participated in a lifestyle intervention program. The result of General Health Questionnaire (GHQ)-30 survey performed in August 2003 was used as the indicator of mental health, whereas diagnoses based on International Classification of Diseases (ICD) 10 from medical expense claims in the 2003 fiscal year were used for disease classification by the Proportional Disease Magnitude (PDM) method. The subjects were classified into two groups by GHQ-30 score: low-score group (n=96) and high-score group (n=44). The differences between the two groups were compared by an unpaired t-test.
    Results: For outpatient service in the high-score group, the medical expenses and the numbers of consulting days, medical expense claims and consultation cases at least two per month were significantly higher (p<0.05) than those in the low-score group. However, there were no significant differences in the same indicators between inpatient and dental services. In the high-score group, the medical expenses of the XVIII group (symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified) of ICD10 were also significantly higher (p<0.05) than those of the low-score group.
    Conclusions: The state of mental health is significantly associated with indicators of medical expenses for outpatient service. The medical expenses of a problematic non-mentally healthy group are significantly higher than those of a mentally healthy group.
  • 宮城島 一明, 川口 毅
    2006 年 61 巻 4 号 p. 407-413
    発行日: 2006/09/15
    公開日: 2009/02/17
    ジャーナル フリー
    Objective: In this study, we aimed at examining how disparities in selected medical care resources across secondary medical care sectors (SMCSs) changed over a twelve-year period following the introduction of the Medical Care Plan.
    Methods: Changes in all SMCS boundaries prior to 2002 were identified from data published by the Ministry of Health and Welfare and prefectural governments. The per capita numbers of ordinary hospital beds and X-ray computed tomography (CT) scanners in hospitals were chosen as indicators of medical care resources, representing respectively mandatory and nonmandatory components of the Medical Care Plan. Their interquartile range and quartile variation coefficient were used as measures of disparity among SMCSs.
    Results: The number of ordinary hospital beds per capita did not increase significantly between 1988 and 2000 in Group-A SMCSs (population density≥1, 000/km2) but increased significantly in Group-R (population density<300/km2) and Group-U (300/km2≤population density<1, 000/km2) SMCSs. The disparity in the per capita numbers of hospital beds among all SMCSs however decreased as a whole. The per capita numbers of X-ray CT scanners increased significantly in all three groups of SMCSs between 1987 and 1999. The coefficient of quartile variation for X-ray CT scanners remained larger than that for ordinary hospital beds over the 12-year period with the exception of Group-A SMCSs.
    Conclusions: The disparities in medical care resources among SMCSs decreased for ordinary hospital beds more markedly than for X-ray CT scanners, possibly as an effect of the implementation of the Medical Care Plan.
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