東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Tri-Partite Diffusion of Disease, In...

Banks, Patricia E.

Linked to FindBook

Google Book

Amazon

博客來

Tri-Partite Diffusion of Disease, Information and Behavior in Type II Diabetes.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Tri-Partite Diffusion of Disease, Information and Behavior in Type II Diabetes./
Author:	Banks, Patricia E.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	129 p.
Notes:	Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:	Dissertations Abstracts International80-12B.
Subject:	Endocrinology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13812706
ISBN:	9781392233191

Tri-Partite Diffusion of Disease, Information and Behavior in Type II Diabetes.
Banks, Patricia E.

Tri-Partite Diffusion of Disease, Information and Behavior in Type II Diabetes. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 129 p.

Source: Dissertations Abstracts International, Volume: 80-12, Section: B.

Thesis (Ph.D.)--North Carolina Agricultural and Technical State University, 2019.

This item must not be sold to any third party vendors.

Type 2 diabetes mellitus (T2DM) affects over 7.2% of the U.S. population and costs associated with the disease exceed $245 billion (CDC, 2017). In the past decade, T2DM research has generated over one million articles, yet the dissemination and translation of this large body of research remain a public health challenge. An impediment to disseminating and translating T2DM research is that all persons receiving information do not have the same capability to understand the information received. Understanding and processing of health information can be improved by tailoring and targeting the amount and level of health information. However, existing epidemiological intervention research lacks metrics to guide distribution of appropriate amounts and levels of health information. Further, existing interventions rarely consider interaction of factors, such as socioeconomic status, age and education level, in combination with health communication or behavioral response to health information. To address the need in epidemiological intervention research and public health communication, the objective of this research is to examine communication strategies of tailored and targeted messaging in terms of health outcomes and equity. In this research, an agent-based simulation model that depicts the processes of T2DM progress, information distribution and processing and behavior change was developed and validated, and then used to examine the effects of communication strategies with age, education level and income. The simulation results reveal that communication strategy of tailored messaging and random messaging are more effective in increasing adoption of health communication messages and life expectancy (L.E.). In addition, income statistically significantly affects adoption of health behavior. This research introduced a novel tri-diffusion agent-based simulation model integrating disease progression, information processing and behavior change in the context of a non-communicable disease, i.e., T2DM. Additionally, the Gini correlation coefficient has been applied to assess the equity in terms of an intangible asset, i.e., health information. The evaluation results of health communication have met the need in epidemiological intervention research and public health communication. Further, understanding the impact of the interactions of key factors on health information communication and, indirectly, disease propagation, can provide insights to existing epidemiological trials and future research studies.

ISBN: 9781392233191Subjects--Topical Terms:

610914
Endocrinology.

Tri-Partite Diffusion of Disease, Information and Behavior in Type II Diabetes.
LDR:03695nmm a2200361 4500 001 2209362
005 20191104073147.5
008 201008s2019 ||||||||||||||||| ||eng d
020 $a 9781392233191
035 $a (MiAaPQ)AAI13812706
035 $a (MiAaPQ)ncat:10992
035 $a AAI13812706
040 $a MiAaPQ $c MiAaPQ
100 1 $a Banks, Patricia E. $3 3436447
245 1 0 $a Tri-Partite Diffusion of Disease, Information and Behavior in Type II Diabetes.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 129 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Qu, Xiuli.
502 $a Thesis (Ph.D.)--North Carolina Agricultural and Technical State University, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a Type 2 diabetes mellitus (T2DM) affects over 7.2% of the U.S. population and costs associated with the disease exceed $245 billion (CDC, 2017). In the past decade, T2DM research has generated over one million articles, yet the dissemination and translation of this large body of research remain a public health challenge. An impediment to disseminating and translating T2DM research is that all persons receiving information do not have the same capability to understand the information received. Understanding and processing of health information can be improved by tailoring and targeting the amount and level of health information. However, existing epidemiological intervention research lacks metrics to guide distribution of appropriate amounts and levels of health information. Further, existing interventions rarely consider interaction of factors, such as socioeconomic status, age and education level, in combination with health communication or behavioral response to health information. To address the need in epidemiological intervention research and public health communication, the objective of this research is to examine communication strategies of tailored and targeted messaging in terms of health outcomes and equity. In this research, an agent-based simulation model that depicts the processes of T2DM progress, information distribution and processing and behavior change was developed and validated, and then used to examine the effects of communication strategies with age, education level and income. The simulation results reveal that communication strategy of tailored messaging and random messaging are more effective in increasing adoption of health communication messages and life expectancy (L.E.). In addition, income statistically significantly affects adoption of health behavior. This research introduced a novel tri-diffusion agent-based simulation model integrating disease progression, information processing and behavior change in the context of a non-communicable disease, i.e., T2DM. Additionally, the Gini correlation coefficient has been applied to assess the equity in terms of an intangible asset, i.e., health information. The evaluation results of health communication have met the need in epidemiological intervention research and public health communication. Further, understanding the impact of the interactions of key factors on health information communication and, indirectly, disease propagation, can provide insights to existing epidemiological trials and future research studies.
590 $a School code: 1544.
650 4 $a Endocrinology. $3 610914
650 4 $a Industrial engineering. $3 526216
650 4 $a Physiology. $3 518431
650 4 $a Theoretical physics. $3 2144760
650 4 $a Epidemiology. $3 568544
690 $a 0409
690 $a 0546
690 $a 0719
690 $a 0753
690 $a 0766
710 2 $a North Carolina Agricultural and Technical State University. $b Industrial and Systems Engineering. $3 2092220
773 0 $t Dissertations Abstracts International $g 80-12B.
790 $a 1544
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13812706