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{"title"=>"No association between HIV and intimate partner violence among women in 10 developing countries", "type"=>"journal", "authors"=>[{"first_name"=>"Guy", "last_name"=>"Harling", "scopus_author_id"=>"9941637000"}, {"first_name"=>"Wezi", "last_name"=>"Msisha", "scopus_author_id"=>"23988021800"}, {"first_name"=>"S. V.", "last_name"=>"Subramanian", "scopus_author_id"=>"55433328900"}], "year"=>2010, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"21170389", "sgr"=>"78650109383", "doi"=>"10.1371/journal.pone.0014257", "scopus"=>"2-s2.0-78650109383", "pui"=>"360158304", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "issn"=>"19326203"}, "id"=>"debe6670-c467-3768-b5c8-6586abe50ed8", "abstract"=>"Background: Methodology/PrincipalFindings: Abstract Intimate Partner Violence (IPV) has been reported to be a determinant of women’s risk for HIV. We examined the relationship between women’s self-reported experiences of IPV in their most recent relationship and their laboratory- confirmed HIV serostatus in ten low- to middle-income countries. Data for the study came from the most recent Demographic and Health Surveys conducted in Dominican Republic, Haiti, India, Kenya, Liberia, Malawi, Mali, Rwanda, Zambia and Zimbabwe. Each survey population was a cross-sectional sample of women aged 15–49 years. Information on IPV was obtained by a face-to-face interview with the mother with an 81.1% response rate; information on HIV serostatus was obtained from blood samples with an 85.3% response rate. Demographic and socioeconomic variables were considered as potentially confounding covariates. Logistic regression models accounting for multi-stage survey design were estimated individually for each country and as a pooled total with country fixed effects (n=60,114). Country-specific adjusted odds ratios (OR) for physical or sexual IPV compared to neither ranged from 0.45 [95% confidence interval (CI): 0.23–0.90] in Haiti to 1.35 [95% CI: 0.95– 1.90] in India; the pooled association was 1.03 [95% CI: 0.94–1.13]. Country-specific adjusted ORs for physical and sexual IPV compared to no sexual IPV ranged from 0.41 [95% CI: 0.12–1.36] in Haiti to 1.41 [95% CI: 0.26–7.77] in Mali; the pooled Conclusions: association was 1.05 [95% CI: 0.90–1.22]. IPV and HIV were not found to be consistently associated amongst ever-married women in national population samples in these lower income countries, suggesting that IPV is not consistently associated with HIV prevalence worldwide. More research is needed to understand the circumstances in which IPV and HIV are and are not associated with one another", "link"=>"http://www.mendeley.com/research/association-between-hiv-intimate-partner-violence-among-women-10-developing-countries", "reader_count"=>57, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>4, "Student > Doctoral Student"=>5, "Researcher"=>7, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>2, "Student > Master"=>14, "Other"=>2, "Student > Bachelor"=>6, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>4, "Student > Doctoral Student"=>5, "Researcher"=>7, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>2, "Student > Master"=>14, "Other"=>2, "Student > Bachelor"=>6, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Environmental Science"=>1, "Nursing and Health Professions"=>6, "Medicine and Dentistry"=>21, "Agricultural and Biological Sciences"=>3, "Arts and Humanities"=>1, "Physics and Astronomy"=>1, "Psychology"=>6, "Social Sciences"=>16, "Economics, Econometrics and Finance"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>21}, "Social Sciences"=>{"Social Sciences"=>16}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>6}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>6}, "Environmental Science"=>{"Environmental Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"Switzerland"=>1}, "group_count"=>8}

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/813557"], "description"=>"<p>Pooled sample size and percentage distribution by exposure and covariates.</p>", "links"=>[], "tags"=>["public health and epidemiology/global health", "public health and epidemiology/infectious diseases", "public health and epidemiology/social and behavioral determinants of health"], "article_id"=>483936, "categories"=>["Cancer", "Computational Biology"], "users"=>["Guy Harling", "Wezi Msisha", "S. V. Subramanian"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014257.t002", "stats"=>{"downloads"=>2, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pooled_sample_size_and_percentage_distribution_by_exposure_and_covariates_/483936", "title"=>"Pooled sample size and percentage distribution by exposure and covariates.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-12-08 01:05:36"}
• {"files"=>["https://ndownloader.figshare.com/files/813528"], "description"=>"<p>Note: Data are adjusted for clustering but not weighted for sampling probabilities. Odds ratios in country-specific regressions are adjusted for age, marital status, urbanity, household wealth, education, occupation, religion and lifetime number of partners, except for the Dominican Republic (no religion) and Kenya and Malawi (no lifetime number of partners). Odds ratios in the pooled regression are adjusted for age, marital status, urbanity, household wealth, education and occupation.</p><p>*Country-level fixed effects are included for the pooled regression, but values are not shown in this table.</p>", "links"=>[], "tags"=>["adjusted", "ratios", "hiv", "prevalence"], "article_id"=>483905, "categories"=>["Cancer", "Computational Biology"], "users"=>["Guy Harling", "Wezi Msisha", "S. V. Subramanian"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014257.t003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Unadjusted_and_adjusted_odds_ratios_95_confidence_intervals_for_the_association_between_HIV_prevalence_and_intimate_partner_violence_/483905", "title"=>"Unadjusted and adjusted odds ratios [95% confidence intervals] for the association between HIV prevalence and intimate partner violence.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-12-08 01:05:05"}
• {"files"=>["https://ndownloader.figshare.com/files/813505"], "description"=>"<p>Note. Each item of intimate partner violence is a binary measure of those women reporting any experiences in the category.</p>", "links"=>[], "tags"=>["prevalence"], "article_id"=>483875, "categories"=>["Cancer", "Computational Biology"], "users"=>["Guy Harling", "Wezi Msisha", "S. V. Subramanian"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014257.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_HIV_prevalence_in_each_country_sample_by_type_of_intimate_partner_violence_exposure_/483875", "title"=>"HIV prevalence in each country sample by type of intimate partner violence exposure.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-12-08 01:04:35"}
• {"files"=>["https://ndownloader.figshare.com/files/813366"], "description"=>"<p>Each association includes a point estimate and 95% confidence interval: A. Any physical or sexual IPV vs. neither form of IPV, B. Sexual but no physical IPV vs. no sexual IPV, C. Both physical and sexual violence vs. no sexual IPV.</p>", "links"=>[], "tags"=>["associations", "hiv", "self-reported"], "article_id"=>483734, "categories"=>["Cancer", "Computational Biology"], "users"=>["Guy Harling", "Wezi Msisha", "S. V. Subramanian"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014257.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Adjusted_associations_between_HIV_and_self_reported_intimate_partner_violence_/483734", "title"=>"Adjusted associations between HIV and self-reported intimate partner violence.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-12-08 01:02:14"}
• {"files"=>["https://ndownloader.figshare.com/files/405808", "https://ndownloader.figshare.com/files/405836", "https://ndownloader.figshare.com/files/405868", "https://ndownloader.figshare.com/files/405901", "https://ndownloader.figshare.com/files/405930", "https://ndownloader.figshare.com/files/405985", "https://ndownloader.figshare.com/files/406010", "https://ndownloader.figshare.com/files/406038", "https://ndownloader.figshare.com/files/406056", "https://ndownloader.figshare.com/files/406081"], "description"=>"<div><h3>Background</h3><p>Intimate Partner Violence (IPV) has been reported to be a determinant of women's risk for HIV. We examined the relationship between women's self-reported experiences of IPV in their most recent relationship and their laboratory-confirmed HIV serostatus in ten low- to middle-income countries.</p><h3>Methodology/Principal Findings</h3><p>Data for the study came from the most recent Demographic and Health Surveys conducted in Dominican Republic, Haiti, India, Kenya, Liberia, Malawi, Mali, Rwanda, Zambia and Zimbabwe. Each survey population was a cross-sectional sample of women aged 15–49 years. Information on IPV was obtained by a face-to-face interview with the mother with an 81.1% response rate; information on HIV serostatus was obtained from blood samples with an 85.3% response rate. Demographic and socioeconomic variables were considered as potentially confounding covariates. Logistic regression models accounting for multi-stage survey design were estimated individually for each country and as a pooled total with country fixed effects (n = 60,114). Country-specific adjusted odds ratios (OR) for physical or sexual IPV compared to neither ranged from 0.45 [95% confidence interval (CI): 0.23–0.90] in Haiti to 1.35 [95% CI: 0.95–1.90] in India; the pooled association was 1.03 [95% CI: 0.94–1.13]. Country-specific adjusted ORs for physical and sexual IPV compared to no sexual IPV ranged from 0.41 [95% CI: 0.12–1.36] in Haiti to 1.41 [95% CI: 0.26–7.77] in Mali; the pooled association was 1.05 [95% CI: 0.90–1.22].</p><h3>Conclusions</h3><p>IPV and HIV were not found to be consistently associated amongst ever-married women in national population samples in these lower income countries, suggesting that IPV is not consistently associated with HIV prevalence worldwide. More research is needed to understand the circumstances in which IPV and HIV are and are not associated with one another.</p></div>", "links"=>[], "tags"=>["hiv", "women", "10", "countries"], "article_id"=>140191, "categories"=>["Cancer", "Biological Sciences"], "users"=>["Guy Harling", "Wezi Msisha", "S. V. Subramanian"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0014257.s001", "https://dx.doi.org/10.1371/journal.pone.0014257.s002", "https://dx.doi.org/10.1371/journal.pone.0014257.s003", "https://dx.doi.org/10.1371/journal.pone.0014257.s004", "https://dx.doi.org/10.1371/journal.pone.0014257.s005", "https://dx.doi.org/10.1371/journal.pone.0014257.s006", "https://dx.doi.org/10.1371/journal.pone.0014257.s007", "https://dx.doi.org/10.1371/journal.pone.0014257.s008", "https://dx.doi.org/10.1371/journal.pone.0014257.s009", "https://dx.doi.org/10.1371/journal.pone.0014257.s010"], "stats"=>{"downloads"=>50, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/No_Association_between_HIV_and_Intimate_Partner_Violence_among_Women_in_10_Developing_Countries/140191", "title"=>"No Association between HIV and Intimate Partner Violence among Women in 10 Developing Countries", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2010-12-08 00:03:11"}

PMC Usage Stats | Further Information

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F1000Prime