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

HIV Outcome Relationships Among Gend...

McGlonn, Kassandra L.

Linked to FindBook

Google Book

Amazon

博客來

HIV Outcome Relationships Among Gender Inequality, Poverty, and Population Growth in Africa.

Record Type:	Electronic resources : Monograph/item
Title/Author:	HIV Outcome Relationships Among Gender Inequality, Poverty, and Population Growth in Africa./
Author:	McGlonn, Kassandra L.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	239 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
Contained By:	Dissertations Abstracts International85-07B.
Subject:	Epidemiology. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30696123
ISBN:	9798381404838

HIV Outcome Relationships Among Gender Inequality, Poverty, and Population Growth in Africa.
McGlonn, Kassandra L.

HIV Outcome Relationships Among Gender Inequality, Poverty, and Population Growth in Africa. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 239 p.

Source: Dissertations Abstracts International, Volume: 85-07, Section: B.

Thesis (D.P.H.)--Florida Agricultural and Mechanical University, 2023.

Countries with the highest HIV incidence, HIV prevalence, and AIDS mortality are located in Africa, making it important to identify which factors are significantly contributing to these outcomes. This study focused on the relationship HIV incidence, HIV prevalence, and AIDS mortality have with gender inequality, poverty, and population growth. An ecological study was performed using country-level aggregate data. SAS OnDemand {phono}{mlrhring} was used for all tests ran with a = .05. Each dependent variable (HIV incidence, HIV prevalence, AIDS mortality) was tested for correlation with each primary independent variable (poverty, population growth, gender inequality) individually and jointly with secondary independent variables (urbanization, ART coverage, tuberculosis incidence, malaria incidence) included as controls. The most conservative regression models were used. A regional analysis was performed for the five regions in Africa. Gender inequality was the sole primary independent variable that had no relationship with HIV outcomes in Africa. Poverty and population growth influence HIV incidence and HIV prevalence in paradoxical ways that require more investigation. Poverty had a consistently negative relationship with HIV incidence (parameter estimates: simple linear regression = -3.0164; MLR = -2.5418). Population growth also had a negative relationship with HIV incidence{A0}(parameter estimate: simple linear regression = -0.6222; MLR = -0.6342). Poverty had a negative relationship with HIV prevalence, having a relatively large influence (parameter estimates: simple linear regression = -12.4550; MLR = -11.9021). Population growth's negative influence on HIV prevalence was relatively moderate (parameter estimate: simple linear regression = -2.1422; MLR = -2.7456). No relationships were found among AIDS mortality and poverty or population growth variables. No HIV outcomes were found to have statistically significant relationships with gender inequality, poverty, or population growth at regional levels in Africa. It is recommended future population level studies on HIV outcomes for Africa are performed using aggregate data stratified by gender and age. Intra-regional and individual level studies that include tribal and local data are also recommended. Furthermore, many efforts can benefit from innovative approaches in targeting marginalized and high-risk groups. Recommended approaches include the incorporation of telemedicine, uniform combined HIV and TB testing, and biomedical products in Africa.

ISBN: 9798381404838Subjects--Topical Terms:

568544
Epidemiology.
Subjects--Index Terms:

Gender inequality

HIV Outcome Relationships Among Gender Inequality, Poverty, and Population Growth in Africa.
LDR:03726nmm a2200385 4500 001 2404360
005 20241209114610.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798381404838
035 $a (MiAaPQ)AAI30696123
035 $a AAI30696123
040 $a MiAaPQ $c MiAaPQ
100 1 $a McGlonn, Kassandra L. $3 3774672
245 1 0 $a HIV Outcome Relationships Among Gender Inequality, Poverty, and Population Growth in Africa.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 239 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-07, Section: B.
500 $a Advisor: Johnson, Tammie.
502 $a Thesis (D.P.H.)--Florida Agricultural and Mechanical University, 2023.
520 $a Countries with the highest HIV incidence, HIV prevalence, and AIDS mortality are located in Africa, making it important to identify which factors are significantly contributing to these outcomes. This study focused on the relationship HIV incidence, HIV prevalence, and AIDS mortality have with gender inequality, poverty, and population growth. An ecological study was performed using country-level aggregate data. SAS OnDemand {phono}{mlrhring} was used for all tests ran with a = .05. Each dependent variable (HIV incidence, HIV prevalence, AIDS mortality) was tested for correlation with each primary independent variable (poverty, population growth, gender inequality) individually and jointly with secondary independent variables (urbanization, ART coverage, tuberculosis incidence, malaria incidence) included as controls. The most conservative regression models were used. A regional analysis was performed for the five regions in Africa. Gender inequality was the sole primary independent variable that had no relationship with HIV outcomes in Africa. Poverty and population growth influence HIV incidence and HIV prevalence in paradoxical ways that require more investigation. Poverty had a consistently negative relationship with HIV incidence (parameter estimates: simple linear regression = -3.0164; MLR = -2.5418). Population growth also had a negative relationship with HIV incidence{A0}(parameter estimate: simple linear regression = -0.6222; MLR = -0.6342). Poverty had a negative relationship with HIV prevalence, having a relatively large influence (parameter estimates: simple linear regression = -12.4550; MLR = -11.9021). Population growth's negative influence on HIV prevalence was relatively moderate (parameter estimate: simple linear regression = -2.1422; MLR = -2.7456). No relationships were found among AIDS mortality and poverty or population growth variables. No HIV outcomes were found to have statistically significant relationships with gender inequality, poverty, or population growth at regional levels in Africa. It is recommended future population level studies on HIV outcomes for Africa are performed using aggregate data stratified by gender and age. Intra-regional and individual level studies that include tribal and local data are also recommended. Furthermore, many efforts can benefit from innovative approaches in targeting marginalized and high-risk groups. Recommended approaches include the incorporation of telemedicine, uniform combined HIV and TB testing, and biomedical products in Africa.
590 $a School code: 0872.
650 4 $a Epidemiology. $3 568544
650 4 $a Biostatistics. $3 1002712
650 4 $a Health sciences. $3 3168359
653 $a Gender inequality
653 $a Population growth
653 $a Poverty
653 $a Malaria incidence
653 $a Telemedicine
690 $a 0766
690 $a 0308
690 $a 0566
710 2 $a Florida Agricultural and Mechanical University. $b Institute of Public Health. $3 3774673
773 0 $t Dissertations Abstracts International $g 85-07B.
790 $a 0872
791 $a D.P.H.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30696123