Literature DB >> 21297483

Risk factors for HIV-1 infection in a longitudinal, prospective cohort of adults from the Mbeya Region, Tanzania.

Steffen Geis1, Leonard Maboko, Elmar Saathoff, Oliver Hoffmann, Christof Geldmacher, Donan Mmbando, Eleuter Samky, Nelson L Michael, Deborah L Birx, Merlin L Robb, Michael Hoelscher.   

Abstract

BACKGROUND: To control the global HIV epidemic, targeted interventions to reduce the incidence of HIV infections are urgently needed until an effective HIV vaccine is available. This study describes HIV-1 incidence and associated risk factors in a general population cohort of adults from Mbeya region, Tanzania, who participated in a vaccine preparedness study.
METHODS: We conducted a closed prospective cohort study with 6-monthly follow-up from 2002 to 2006 enrolling adults from the general population. HIV-1 incidence and risk factors for HIV-1 acquisition were analyzed using Cox regression.
RESULTS: We observed 2578 seronegative participants for a mean period of 3.06 person years (PY) (7471 PY in total). Overall HIV-1 incidence was 1.35 per 100 PY (95% confidence interval [CI], 1.10-1.64/100 PY). The highest overall HIV-1 incidence was found in females from Itende village (1.55 per 100 PY; 95% CI, 0.99-2.30/100 PY); the highest age-specific incidence was observed in semiurban males aged 30 to 34 years (2.75 per 100 PY; 95% CI, 0.75-7.04). HIV-1 acquisition was independently associated with female gender (hazard ratio [HR], 1.64; 95% CI, 1.05-2.57), younger age at enrollment (age 18-19 versus 35-39 years: HR, 0.29; 95% CI, 0.11-0.75), alcohol consumption (almost daily versus none: HR, 2.01; 95% CI, 1.00-4.07), education level (secondary school versus none: HR, 0.39; 95% CI, 0.17-0.89), and number of lifetime sex partners (more than five versus one: HR, 2.22; 95% CI, 1.13-4.36).
CONCLUSIONS: A high incidence of HIV was observed in this cohort, and incident infection was strongly associated with young age, alcohol consumption, low school education level, and number of sex partners. Targeted interventions are needed to address the elevated risk associated with these factors.

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Year:  2011        PMID: 21297483      PMCID: PMC3139808          DOI: 10.1097/QAI.0b013e3182118fa3

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  33 in total

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Journal:  AIDS       Date:  1999-02-25       Impact factor: 4.177

2.  Trends in HIV-1 prevalence may not reflect trends in incidence in mature epidemics: data from the Rakai population-based cohort, Uganda.

Authors:  M J Wawer; D Serwadda; R H Gray; N K Sewankambo; C Li; F Nalugoda; T Lutalo; J K Konde-Lule
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3.  Trends in HIV and sexual behaviour in a longitudinal study in a rural population in Tanzania, 1994-2000.

Authors:  Gabriel Mwaluko; Mark Urassa; Raphael Isingo; Basia Zaba; J Ties Boerma
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4.  Concurrent sexual partnerships help to explain Africa's high HIV prevalence: implications for prevention.

Authors:  Daniel T Halperin; Helen Epstein
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5.  Methodological lessons from a cohort study of high risk women in Tanzania.

Authors:  O Hoffmann; B Zaba; B Wolff; E Sanga; L Maboko; D Mmbando; F von Sonnenburg; M Hoelscher
Journal:  Sex Transm Infect       Date:  2004-12       Impact factor: 3.519

6.  Education attainment as a predictor of HIV risk in rural Uganda: results from a population-based study.

Authors:  J Smith; F Nalagoda; M J Wawer; D Serwadda; N Sewankambo; J Konde-Lule; T Lutalo; C Li; R H Gray
Journal:  Int J STD AIDS       Date:  1999-07       Impact factor: 1.359

7.  HIV-1 diversity and prevalence differ between urban and rural areas in the Mbeya region of Tanzania.

Authors:  Miguel A Arroyo; Michael Hoelscher; Warren Sateren; Eleuter Samky; Leonard Maboko; Oliver Hoffmann; Gustavo Kijak; Merlin Robb; Deborah L Birx; Francine E McCutchan
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8.  HIV-1 infection prevalence and incidence trends in areas of contrasting levels of infection in the Kagera region, Tanzania, 1987-2000.

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  15 in total

1.  HIV, Hepatitis C, and Abstinence from Alcohol Among Injection and Non-injection Drug Users.

Authors:  Jennifer C Elliott; Deborah S Hasin; Malka Stohl; Don C Des Jarlais
Journal:  AIDS Behav       Date:  2016-03

2.  Alcohol use and its association with HIV risk behaviors among a cohort of patients attending HIV clinical care in Tanzania, Kenya, and Namibia.

Authors:  Amy Medley; Puja Seth; Sonal Pathak; Andrea A Howard; Nickolas DeLuca; Eva Matiko; Abubakari Mwinyi; Frieda Katuta; Mushin Sheriff; Neema Makyao; Lucy Wanjiku; Carol Ngare; Pamela Bachanas
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3.  Prevalence and social drivers of HIV among married and cohabitating heterosexual adults in south-eastern Tanzania: analysis of adult health community cohort data.

Authors:  Sally M Mtenga; Constanze Pfeiffer; Sonja Merten; Masuma Mamdani; Amon Exavery; Joke Haafkens; Marcel Tanner; Eveline Geubbels
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Review 5.  HIV Epidemic in Tanzania: The Possible Role of the Key Populations.

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6.  Population attributable fraction of incident HIV infections associated with alcohol consumption in fishing communities around Lake Victoria, Uganda.

Authors:  Noah Kiwanuka; Ali Ssetaala; Ismail Ssekandi; Annet Nalutaaya; Paul Kato Kitandwe; Julius Ssempiira; Bernard Ssentalo Bagaya; Apolo Balyegisawa; Pontiano Kaleebu; Judith Hahn; Christina Lindan; Nelson Kaulukusi Sewankambo
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7.  Transactional sex risk across a typology of rural and urban female sex workers in Indonesia: a mixed methods study.

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8.  Prevalence and correlates of alcohol dependence disorder among TB and HIV infected patients in Zambia.

Authors:  Rebecca O'Connell; Nathaniel Chishinga; Eugene Kinyanda; Vikram Patel; Helen Ayles; Helen A Weiss; Soraya Seedat
Journal:  PLoS One       Date:  2013-09-17       Impact factor: 3.240

9.  HIV incidence from the first population-based cohort study in India.

Authors:  Lalit Dandona; G Anil Kumar; Vemu Lakshmi; G Md Mushtaq Ahmed; Mohammed Akbar; Sri P Ramgopal; Talasila Sudha; Michel Alary; Rakhi Dandona
Journal:  BMC Infect Dis       Date:  2013-07-17       Impact factor: 3.090

10.  Mood Disorders and BDNF Relationship with Alcohol Drinking Trajectories among PLWH Receiving Care.

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