東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Creating Obesity Networks Using Publ...

Lee, Yoonmi.

FindBook

Google Book

Amazon

博客來

Creating Obesity Networks Using Public Health Data Network Analysis System (PHDNAS).

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Creating Obesity Networks Using Public Health Data Network Analysis System (PHDNAS)./
作者:	Lee, Yoonmi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	90 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
Contained By:	Dissertation Abstracts International78-10B(E).
標題:	Information technology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10268927
ISBN:	9781369781489

Creating Obesity Networks Using Public Health Data Network Analysis System (PHDNAS).
Lee, Yoonmi.

Creating Obesity Networks Using Public Health Data Network Analysis System (PHDNAS). - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 90 p.

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.

Thesis (Ph.D.)--The Claremont Graduate University, 2017.

There are many discussions about the causes of being overweight and obese; consequently, various factors have been identified from a number of research projects. Although many factors affecting obesity have been found through research using scientific methods, we are still striving to find the main cause of its increase observed throughout the nation over the past few decades.

ISBN: 9781369781489Subjects--Topical Terms:

532993
Information technology.

Creating Obesity Networks Using Public Health Data Network Analysis System (PHDNAS).
LDR:03389nmm a2200337 4500 001 2125787
005 20171115071138.5
008 180830s2017 ||||||||||||||||| ||eng d
020 $a 9781369781489
035 $a (MiAaPQ)AAI10268927
035 $a AAI10268927
040 $a MiAaPQ $c MiAaPQ
100 1 $a Lee, Yoonmi. $3 1254099
245 1 0 $a Creating Obesity Networks Using Public Health Data Network Analysis System (PHDNAS).
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2017
300 $a 90 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
500 $a Adviser: Samir Chatterjee.
502 $a Thesis (Ph.D.)--The Claremont Graduate University, 2017.
520 $a There are many discussions about the causes of being overweight and obese; consequently, various factors have been identified from a number of research projects. Although many factors affecting obesity have been found through research using scientific methods, we are still striving to find the main cause of its increase observed throughout the nation over the past few decades.
520 $a The purpose of this study is to analyze the relationships between obesity and factors that affect obesity and draw an obesity network representing the relationships between obesity and factors based on the Network Science and Structural Equation Modeling. Obesity networks created from the preliminary data analysis were applied to the proposed system to help health professionals and policy makers understand the obesity phenomenon and design effective interventions for prevention.
520 $a The conceptual obesity network diagram was constructed to represent the relationships between obesity and its various factors. The obesity network diagram was derived from, and based on, a literature review, in which a health survey dataset was discovered that was used to examine whether the conceptual obesity network reflected reality. This dataset, the CHIS (California Health Interview Survey) contains data from 2001 to 2012, including BMI (Body Mass Index) and nine factors associated with obesity. These factors were extracted and used for the network analysis and Structural Equation Modeling to demonstrate and verify the relationships between obesity and its factors and among the factors themselves. Furthermore, the trend in the relationships between obesity and the factors was examined.
520 $a These findings were applied to develop a GIS-based Public Health Data Network Analysis System (PHDNAS), which was designed and developed using GIS technologies and evaluated through interviews, focusing on usability. This new system, designed with a Design Science Research Framework, is expected to enable health professionals and policy makers to perform network and spatial analyses of obesity-related public health data. The novelty of the artifact is the visualization of the relationship between obesity factors and BMI which is represented by a graph, along with geographical information. Therefore, PHDNAS aims to contribute to community health assessments, decision making, and resource allocations in public health.
590 $a School code: 0047.
650 4 $a Information technology. $3 532993
650 4 $a Public health. $3 534748
650 4 $a Geographic information science and geodesy. $3 2122917
690 $a 0489
690 $a 0573
690 $a 0370
710 2 $a The Claremont Graduate University. $b Information Systems and Technology. $3 2100484
773 0 $t Dissertation Abstracts International $g 78-10B(E).
790 $a 0047
791 $a Ph.D.
792 $a 2017
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10268927