Risk factors for HIV infection excluding socio-economic position.

<p>¹ Adjusted for age and age of household head.</p><p>² Adjusted for age and age of household head and other variables higher in conceptual framework (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0115290#pone.0115290.g002" target="_blank">Fig. 2</a>) that remain associated (at p≤0.1) with HIV after adjustment.</p><p>^a Likelihood ratio p-value.</p><p>Risk factors for HIV infection excluding socio-economic position.</p

A conceptual framework for the association between domains of socio-economic position and HIV infection in young rural Zimbabwean women.

<p>A conceptual framework for the association between domains of socio-economic position and HIV infection in young rural Zimbabwean women.</p

Proportion of participants reporting individual wealth indicators.

<p>Proportion of participants reporting individual wealth indicators.</p

Socio-economic position as a risk factor for HIV infection among females by socio-economic domain.

<p>¹ Adjusted for age, age of household head, education, marital status & alcohol consumption.</p><p>² Adjusted for variables in model 3 & knowledge around pregnancy prevention, attitudes around sexual partners & condom self-efficacy.</p><p>³ Adjusted for variables in model 4 & age of sexual partners.</p><p>⁴ Adjusted for variables in model 5 & condom use at last sex & HSV-2 infection.</p><p>⁵ Food insufficiency—reported adult skipping meals and/or going day without food; going to bed hungry; <2 meals per day.</p><p>Socio-economic position as a risk factor for HIV infection among females by socio-economic domain.</p

Characteristics of female participants by socio-economic position (SEP) and SEP domain.

<p>¹ Wealthiest category (SEP1);</p><p>² Poorest category (SEP3);</p><p>³ P-value from Chi-square test, Mantel-Haenszel test-for-trend (<i>given in italics where chi-square p</i>≤0.05) or Cox proportional hazard depending on type of data;</p><p>⁴ Column percentages (%);</p><p>⁵ Reference category includes those who have never had sex.</p><p>Characteristics of female participants by socio-economic position (SEP) and SEP domain.</p

Survival time to age at sexual debut by food sufficiency status.

<p>Survival time to age at sexual debut by food sufficiency status.</p

Socio-economic position as a risk factor for reporting risky sexual behaviour by socio-economic domain.

<p>¹ ‘High risk’ behaviour defined as 2 or more risky behaviours: sexual debut ≤17yrs; ≥2 lifetime partners; any partner ≥6 years older; not using a condom at last sex.</p><p>² Adjusted for age, age of household head & orphanhood.</p><p>³ Adjusted for variables in model 1 & education, marital status & alcohol consumption.</p><p>⁴ Adjusted for variables in model 2, risk of depression & anxiety, suicide ideation, attitudes around sexual refusal and sexual partners and condom self-efficacy.</p><p>⁵ Food insufficiency—reported adult skipping meals and/or going day without food; going to bed hungry; <2 meals per day.</p><p>Socio-economic position as a risk factor for reporting risky sexual behaviour by socio-economic domain.</p

Mean cost (in USD 2012) per patient month for patients initiating ART treatment with CD4 count <200 cells/mm³ in Tanzania for both standard care (control) and the REMSTART trial intervention arms.

<p>Mean cost (in USD 2012) per patient month for patients initiating ART treatment with CD4 count <200 cells/mm³ in Tanzania for both standard care (control) and the REMSTART trial intervention arms.</p

Characteristics, HIV disease progression and ART treatment regimen of for study participants (HIV patients presenting in the advanced stages of HIV-infection—CD4 <200cells/mm³), in Dar es Salaam, Tanzania.

<p>Characteristics, HIV disease progression and ART treatment regimen of for study participants (HIV patients presenting in the advanced stages of HIV-infection—CD4 <200cells/mm³), in Dar es Salaam, Tanzania.</p

Pathway of care for HIV-infected individuals presenting in with CD4 count < 200 cells/mm³ in intervention and standard care arms in Tanzania.

<p>*Under standard care, TB screening is done using smear microscopy examination or chest x-ray. For this study, Xpert screening was used in both arms at baseline.</p