ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 学位論文
  1. 学位論文
  2. 公衆衛生学研究科
  1. 学位論文
  2. 公衆衛生学研究科
  3. 実践課題
  1. 学位論文
  2. 公衆衛生学研究科
  3. 実践課題
  4. 2019年度

Association between Air Pollution and Mammographic Breast Density

http://hdl.handle.net/10285/13582
http://hdl.handle.net/10285/13582
721706e5-5e0f-4200-b5d4-b1e8a3099abe
名前 / ファイル ライセンス アクション
MP[050]_abst.pdf 論文要旨 (451.5 kB)
license.icon
Item type 学位論文 / Thesis or Dissertation(1)
公開日 2020-06-05
タイトル
タイトル Association between Air Pollution and Mammographic Breast Density
言語
言語 eng
キーワード
主題 air pollution
キーワード
主題 particulate matter
キーワード
主題 PM2.5
キーワード
主題 mammography
キーワード
主題 breast density
キーワード
主題 postmenopausal women
キーワード
主題 breast cancer
キーワード
主題 risk factors
キーワード
主題 Asian population
キーワード
主題 risk assessment
キーワード
主題 odds ratio
資源タイプ
資源タイプ thesis
その他(別言語等)のタイトル
その他のタイトル 大気汚染(PM2.5)暴露と乳腺濃度の関係の調査
著者 固武, 利奈

× 固武, 利奈

固武, 利奈

ja-Kana コタケ, リナ

Search repository
Kotake, Rina

× Kotake, Rina

en Kotake, Rina

Search repository
抄録
内容記述タイプ Abstract
内容記述 Background: Previous studies have shown that increasing breast density is associated with an increased risk of breast cancer. Breast density is affected by several endogenous and exogenous factors, and there have also been reports of geographic variations. Geographic variations in breast density may be due to differences in lifestyle and diet, as well as environmental factors such as air pollution exposure. However, these environmental contributors have not been clearly established. The objective of this study was to determine the association between air pollution and mammographic breast density among postmenopausal women who had undergone screening mammography in Tokyo, Japan.: Methods: The study population for this study were postmenopausal women who had undergone screening mammography at St. Luke’s International Hospital Center for Preventive Medicine from April 2004 to September 2018. For exposure, the ambient air pollution (PM2.5) density of the locations of interest, namely, the patients’ residential areas during the study period, were obtained from the official website of the Bureau of Environment of the Tokyo Metropolitan Government. The mean PM2.5 exposure levels for 1, 3, 5, and 7 years were determined. For the outcome, the BI-RADS categorical classification of every individual’s mammography results were obtained from electronic charts. A logistic marginal model for longitudinal data was used to examine the association between air pollution density and categorical data on mammographic breast density.: Results: A total of 44,280 women were included in this study and of them 29,135 were classified in the not highly dense group (BI-RADS categories 1 and 2), and 15,145 in the highly dense group (BI-RADS categories 3 and 4). There was a 3% increase in the odds of having higher breast density after 1 year (OR = 1.027, 95% Confidence Interval (CI) 1.019– 1.034) and 3 years of PM2.5 exposure (OR = 1.029, 95% CI 1.022– 1.036). This further increased to 4% at 5 years exposure (OR = 1.044, 95% CI 1.037– 1.052), and 5% at 7 years exposure (OR = 1.053, 95% CI 1.044– 1.063). Subgroup analysis showed that the risk for high breast density increased if the factors of smoking, family history of breast and/or ovarian cancer, and history of childbirth were present.: Conclusion: This study is the first study that examines the association between PM2.5 exposure and mammographic breast density in an Asian study population. We found a positive association between PM2.5 and mammographic breast density, and the strength of the association increased with increasing duration of exposure.
学位名
学位名 修士(公衆衛生学)
学位授与機関
学位授与機関名 聖路加国際大学
学位授与年度
内容記述 2019
学位授与年月日
学位授与年月日 2020-03-10
学位授与番号
学位授与番号 32633公修専第050
戻る
0
views
See details
Views

Versions

Ver.1 2023-05-15 12:58:40.803288
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR 2.0
  • OAI-PMH JPCOAR 1.0
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3