Age-adjusted and multivariate models of socio-demographic and behavioural risk factors associated with HIV prevalence in males (N = 3886).

Modeling HIV risk in highly vulnerable youth

Huba, GJ
Panter, AT
Melchior, LA
Trevithick, L
Woods, ER
Wright, E
Feudo, R
Tierney, S
Schneir, A
Tenner, A
Remafedi, G
Greenberg, B
Sturdevant, M
Goodman, E
Hodgins, A
Wallace, M
Brady, RE
Singer, B
Marconi, K

January 2003

This article examines the structure of several HIV risk behaviors in an ethnically and geographicall...

Factors associated with HIV testing in the past 12 months among young men aged 20–29 years.

Kathy Baisley (132119)
Natsayi Chimbindi (830472)
Nondumiso Mthiyane (5859848)
Sian Floyd (239400)
Nuala McGrath (230042)
Deenan Pillay (7888)
Janet Seeley (394521)
Thembelihle Zuma (5859851)
Jaco Dreyer (5859854)
Dickman Gareta (337425)
Theresa Smit (4892008)
Tinofa Mutevedzi (830474)
Justin Fenty (298271)
Kobus Herbst (78335)
Isolde Birdthistle (624739)
Maryam Shahmanesh (529885)

December 2018

Factors associated with HIV testing in the past 12 months among young men aged 20–29 years.</p

Distribution of socio-demographic characteristics and HIV-risk behaviours amongst women and men.

Andrew Gibbs (353654)
Kristin Dunkle (315117)
Laura Washington (3939548)
Samantha Willan (353656)
Nwabisa Shai (3939563)
Rachel Jewkes (193649)

April 2018

Distribution of socio-demographic characteristics and HIV-risk behaviours amongst women and men.<...

Age-adjusted and multivariate models of socio-demographic and behavioural risk factors associated with HIV prevalence in females (N = 5453).

Adya Rao (13851162)
Louisa Moorhouse (8069432)
Rufu Maswera (13851165)
Tawanda Dadirai (13851168)
Phyllis Mandizvidza (8069438)
Constance Nyamukapa (19053)
Shevanthi Nayagam (9214727)
Simon Gregson (19054)

September 2022

Age-adjusted and multivariate models of socio-demographic and behavioural risk factors associated wi...

Statistical methods to model the influence of age and gender on the behavioral risk factors of HIV/AIDS

Tlou, Boikhutso

December 2010

The effects of gender and age on the behavioral risk of HIV/AIDS are not clearly understood as previ...

Understanding the joint effect of the behavioural and biological risk reduction factors on HIV

Gundidza, Patricia Tapiwa

October 2021

The conventional approach in determining HIV risk factors fails to consider the influence behavioura...

Estimated prevalence of HIV-related knowledge, behavior, care and biomarker variables among women and men age 15–49 years.

Alex Opio (320783)
Michael Muyonga (441401)
Noordin Mulumba (441402)

August 2013

Estimated prevalence of HIV-related knowledge, behavior, care and biomarker variables among women...

Sociodemographic and sexual risk factors associated with ever being HIV-tested among male respondents, ZDHS 2010–11.

Kudakwashe Collin Takarinda (2188525)
Lydia Kudakwashe Madyira (2188516)
Mutsa Mhangara (2188522)
Victor Makaza (2188513)
Memory Maphosa-Mutsaka (2188519)
Simbarashe Rusakaniko (349683)
Peter H. Kilmarx (185222)
Tsitsi Mutasa-Apollo (516194)
Getrude Ncube (291446)
Anthony David Harries (42959)

January 2016

Sociodemographic and sexual risk factors associated with ever being HIV-tested among male respond...

Age-group adjusted risk factors associated with HIV infection by gender among sexually active participants, N = 1202.

Pauli N. Amornkul (226221)
Hilde Vandenhoudt (349420)
Peter Nasokho (371398)
Frank Odhiambo (44759)
Dufton Mwaengo (371400)
Allen Hightower (319914)
Anne Buvé (5651842)
Ambrose Misore (13165)
John Vulule (41657)
Charles Vitek (371404)
Judith Glynn (371406)
Alan Greenberg (371409)
Laurence Slutsker (13168)
Kevin M. De Cock (226217)

February 2013

aaOR, age-group adjusted odds ratio. Females by 13-19 and 20-34 years; males by 13-24 and 25-34 y...

Multivariate comparison by age group of HIV prevalence between 1998 and 2008 among men and women, general population of Cotonou, Benin.

Luc Béhanzin (309911)
Souleymane Diabaté (309912)
Isaac Minani (309913)
Catherine M. Lowndes (309914)
Marie-Claude Boily (114790)
Annie-Claude Labbé (69266)
Séverin Anagonou (309916)
Djimon Marcel Zannou (309918)
Anne Buvé (5651842)
Michel Alary (180020)

February 2013

P-values are from Wald chi-square test from multivariate logistic models (taking into account the...

Multivariable models of social factors, mental health and partner violence exposures associated with change in CD4/CD8 (models adjusted for age, CD4/8 follow up period, HIV positivity at baseline.

Rachel Jewkes (193649)
Kristin Dunkle (315117)
Nwabisa Jama-Shai (713551)
Glenda Gray (64254)

March 2015

* Wald chi square p = 0.0002** Wald chi square p = 0.04Multivariable models of soci...

Determinants of Prevalent HIV Infection in the Cross-Sectional Studies – Multivariable Models.

Annaléne Nel (325815)
Zonke Mabude (325816)
Jenni Smit (325817)
Philip Kotze (325818)
Derek Arbuckle (325819)
Jian Wu (41301)
Neliëtte van Niekerk (325820)
Janneke van de Wijgert (36860)

February 2013

Determinants of Prevalent HIV Infection in the Cross-Sectional Studies – Multivariable Models.</p

HIV incidence by age in males aged 15-30, using the synthetic cohort, recency biomarker and combined methods.

Eduard Grebe (4485922)
Alex Welte (136505)
Leigh F. Johnson (138514)
Gilles van Cutsem (93995)
Adrian Puren (60199)
Tom Ellman (75045)
Jean-François Etard (123661)
Helena Huerga (109527)

September 2018

HIV incidence by age in males aged 15-30, using the synthetic cohort, recency biomarker and combined...

HIV prevalence estimates and their respective 95% confidence intervals by age group for males and females separately.

Amos Chinomona (832067)
Henry Godwell Mwambi (832068)

December 2015

HIV prevalence estimates and their respective 95% confidence intervals by age group for males and...

Crude and adjusted prevalence ratios of the association between past-year perpetration of physical and/or sexual intimate partner violence and behavioral risk factors for HIV acquisition, and HIV seropositivity among male partners.

Salome Kuchukhidze (8099795)
Dimitra Panagiotoglou (6755924)
Marie-Claude Boily (114790)
Souleymane Diabaté (309912)
Jeffrey W. Imai-Eaton (16942964)
Heidi Stöckl (161228)
Francisco Mbofana (287784)
Rhoda K. Wanyenze (8614842)
Mathieu Maheu-Giroux (445450)

September 2023

Crude and adjusted prevalence ratios of the association between past-year perpetration of physical a...

Modeling HIV risk in highly vulnerable youth

Huba, GJ
Panter, AT
Melchior, LA
Trevithick, L
Woods, ER
Wright, E
Feudo, R
Tierney, S
Schneir, A
Tenner, A
Remafedi, G
Greenberg, B
Sturdevant, M
Goodman, E
Hodgins, A
Wallace, M
Brady, RE
Singer, B
Marconi, K

January 2003

This article examines the structure of several HIV risk behaviors in an ethnically and geographicall...

Factors associated with HIV testing in the past 12 months among young men aged 20–29 years.

Kathy Baisley (132119)
Natsayi Chimbindi (830472)
Nondumiso Mthiyane (5859848)
Sian Floyd (239400)
Nuala McGrath (230042)
Deenan Pillay (7888)
Janet Seeley (394521)
Thembelihle Zuma (5859851)
Jaco Dreyer (5859854)
Dickman Gareta (337425)
Theresa Smit (4892008)
Tinofa Mutevedzi (830474)
Justin Fenty (298271)
Kobus Herbst (78335)
Isolde Birdthistle (624739)
Maryam Shahmanesh (529885)

December 2018

Factors associated with HIV testing in the past 12 months among young men aged 20–29 years.</p

Distribution of socio-demographic characteristics and HIV-risk behaviours amongst women and men.

Andrew Gibbs (353654)
Kristin Dunkle (315117)
Laura Washington (3939548)
Samantha Willan (353656)
Nwabisa Shai (3939563)
Rachel Jewkes (193649)

April 2018

Distribution of socio-demographic characteristics and HIV-risk behaviours amongst women and men.<...

Age-adjusted and multivariate models of socio-demographic and behavioural risk factors associated with HIV prevalence in females (N = 5453).

Adya Rao (13851162)
Louisa Moorhouse (8069432)
Rufu Maswera (13851165)
Tawanda Dadirai (13851168)
Phyllis Mandizvidza (8069438)
Constance Nyamukapa (19053)
Shevanthi Nayagam (9214727)
Simon Gregson (19054)

September 2022

Age-adjusted and multivariate models of socio-demographic and behavioural risk factors associated wi...

Statistical methods to model the influence of age and gender on the behavioral risk factors of HIV/AIDS

Tlou, Boikhutso

December 2010

The effects of gender and age on the behavioral risk of HIV/AIDS are not clearly understood as previ...

Understanding the joint effect of the behavioural and biological risk reduction factors on HIV

Gundidza, Patricia Tapiwa

October 2021

The conventional approach in determining HIV risk factors fails to consider the influence behavioura...

Estimated prevalence of HIV-related knowledge, behavior, care and biomarker variables among women and men age 15–49 years.

Alex Opio (320783)
Michael Muyonga (441401)
Noordin Mulumba (441402)

August 2013

Estimated prevalence of HIV-related knowledge, behavior, care and biomarker variables among women...

Sociodemographic and sexual risk factors associated with ever being HIV-tested among male respondents, ZDHS 2010–11.

Kudakwashe Collin Takarinda (2188525)
Lydia Kudakwashe Madyira (2188516)
Mutsa Mhangara (2188522)
Victor Makaza (2188513)
Memory Maphosa-Mutsaka (2188519)
Simbarashe Rusakaniko (349683)
Peter H. Kilmarx (185222)
Tsitsi Mutasa-Apollo (516194)
Getrude Ncube (291446)
Anthony David Harries (42959)

January 2016

Sociodemographic and sexual risk factors associated with ever being HIV-tested among male respond...

Age-group adjusted risk factors associated with HIV infection by gender among sexually active participants, N = 1202.

Pauli N. Amornkul (226221)
Hilde Vandenhoudt (349420)
Peter Nasokho (371398)
Frank Odhiambo (44759)
Dufton Mwaengo (371400)
Allen Hightower (319914)
Anne Buvé (5651842)
Ambrose Misore (13165)
John Vulule (41657)
Charles Vitek (371404)
Judith Glynn (371406)
Alan Greenberg (371409)
Laurence Slutsker (13168)
Kevin M. De Cock (226217)

February 2013

aaOR, age-group adjusted odds ratio. Females by 13-19 and 20-34 years; males by 13-24 and 25-34 y...

Multivariate comparison by age group of HIV prevalence between 1998 and 2008 among men and women, general population of Cotonou, Benin.

Luc Béhanzin (309911)
Souleymane Diabaté (309912)
Isaac Minani (309913)
Catherine M. Lowndes (309914)
Marie-Claude Boily (114790)
Annie-Claude Labbé (69266)
Séverin Anagonou (309916)
Djimon Marcel Zannou (309918)
Anne Buvé (5651842)
Michel Alary (180020)

February 2013

P-values are from Wald chi-square test from multivariate logistic models (taking into account the...

Multivariable models of social factors, mental health and partner violence exposures associated with change in CD4/CD8 (models adjusted for age, CD4/8 follow up period, HIV positivity at baseline.

Rachel Jewkes (193649)
Kristin Dunkle (315117)
Nwabisa Jama-Shai (713551)
Glenda Gray (64254)

March 2015

* Wald chi square p = 0.0002** Wald chi square p = 0.04Multivariable models of soci...

Determinants of Prevalent HIV Infection in the Cross-Sectional Studies – Multivariable Models.

Annaléne Nel (325815)
Zonke Mabude (325816)
Jenni Smit (325817)
Philip Kotze (325818)
Derek Arbuckle (325819)
Jian Wu (41301)
Neliëtte van Niekerk (325820)
Janneke van de Wijgert (36860)

February 2013

Determinants of Prevalent HIV Infection in the Cross-Sectional Studies – Multivariable Models.</p

HIV incidence by age in males aged 15-30, using the synthetic cohort, recency biomarker and combined methods.

Eduard Grebe (4485922)
Alex Welte (136505)
Leigh F. Johnson (138514)
Gilles van Cutsem (93995)
Adrian Puren (60199)
Tom Ellman (75045)
Jean-François Etard (123661)
Helena Huerga (109527)

September 2018

HIV incidence by age in males aged 15-30, using the synthetic cohort, recency biomarker and combined...

HIV prevalence estimates and their respective 95% confidence intervals by age group for males and females separately.

Amos Chinomona (832067)
Henry Godwell Mwambi (832068)

December 2015

HIV prevalence estimates and their respective 95% confidence intervals by age group for males and...

Crude and adjusted prevalence ratios of the association between past-year perpetration of physical and/or sexual intimate partner violence and behavioral risk factors for HIV acquisition, and HIV seropositivity among male partners.

Salome Kuchukhidze (8099795)
Dimitra Panagiotoglou (6755924)
Marie-Claude Boily (114790)
Souleymane Diabaté (309912)
Jeffrey W. Imai-Eaton (16942964)
Heidi Stöckl (161228)
Francisco Mbofana (287784)
Rhoda K. Wanyenze (8614842)
Mathieu Maheu-Giroux (445450)

September 2023

Crude and adjusted prevalence ratios of the association between past-year perpetration of physical a...

Modeling HIV risk in highly vulnerable youth

Huba, GJ
Panter, AT
Melchior, LA
Trevithick, L
Woods, ER
Wright, E
Feudo, R
Tierney, S
Schneir, A
Tenner, A
Remafedi, G
Greenberg, B
Sturdevant, M
Goodman, E
Hodgins, A
Wallace, M
Brady, RE
Singer, B
Marconi, K

January 2003

This article examines the structure of several HIV risk behaviors in an ethnically and geographicall...

Factors associated with HIV testing in the past 12 months among young men aged 20–29 years.

Kathy Baisley (132119)
Natsayi Chimbindi (830472)
Nondumiso Mthiyane (5859848)
Sian Floyd (239400)
Nuala McGrath (230042)
Deenan Pillay (7888)
Janet Seeley (394521)
Thembelihle Zuma (5859851)
Jaco Dreyer (5859854)
Dickman Gareta (337425)
Theresa Smit (4892008)
Tinofa Mutevedzi (830474)
Justin Fenty (298271)
Kobus Herbst (78335)
Isolde Birdthistle (624739)
Maryam Shahmanesh (529885)

December 2018

Factors associated with HIV testing in the past 12 months among young men aged 20–29 years.</p

Distribution of socio-demographic characteristics and HIV-risk behaviours amongst women and men.

Andrew Gibbs (353654)
Kristin Dunkle (315117)
Laura Washington (3939548)
Samantha Willan (353656)
Nwabisa Shai (3939563)
Rachel Jewkes (193649)

April 2018

Distribution of socio-demographic characteristics and HIV-risk behaviours amongst women and men.<...

Age-adjusted and multivariate models of socio-demographic and behavioural risk factors associated with HIV prevalence in males (N = 3886).

Abstract

Extracted data

Age-adjusted and multivariate models of socio-demographic and behavioural risk factors associated with HIV prevalence in males (N = 3886).

Abstract

Extracted data

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