TRENDS OF HIV/AIDS KNOWLEDGE AND ATTITUDES AMONG NIGERIAN WOMEN BETWEEN 2007 AND 2017 USING MULTIPLE INDICATOR CLUSTER SURVEY DATA

dc.contributor.authorUkaegbu, Enyinnaya
dc.contributor.authorAlibekova, Raushan
dc.contributor.authorAli, Syed
dc.contributor.authorCrape, Byron
dc.contributor.authorIssanov, Alpamys
dc.date.accessioned2022-07-19T09:51:23Z
dc.date.available2022-07-19T09:51:23Z
dc.date.issued2022
dc.description.abstractBackground: Globally, Nigeria ranks third among the countries with the highest number of People Living with HIV (PLHIV). Given that HIV/AIDS knowledge is a key factor that determines the risk of transmission and certain attitudes towards PLHIV, there is a need to understand the trend of HIV knowledge within the population for the purpose of assessing the progress and outcome of HIV prevention strategies. The aim of the study was to understand the trends of HIV/AIDS knowledge and attitude towards PLHIV between 2007 to 2017 among Nigerian women, and to investi gate change in the factors associated with HIV/AIDS knowledge and attitude towards PLHIV over years. Methods: Data were derived from three Nigerian Multiple Indicator Cluster Surveys (2007, 2011 and 2016–2017) among women aged 15–49 years old from each geo-political zone (South South, South East, South West, North East, North West, North Central) in Nigeria. Participants who did not answer questions related to HIV/AIDS knowledge and attitude were excluded from the study. The fnal sample sizes were 17,733 for 2007, 26,532 for 2011 and 23,530 for 2017. In descriptive statistics, frequencies represented the study sample, while percentages represented weighted estimates for the population parameters. Rao-Scott chi-square test for complex survey design studies was used to assess bivariable associations. Factors associated with outcome variables were examined using the survey-weighted multivariable logistic regression models for the complex survey design while controlling for potential confounding variables. Results: There was a relatively high level of HIV/AIDS knowledge level in 2007 and 2016–2017 surveys (64.6 and 64.1%, respectively), however a decrease in HIV/AIDS knowledge trend was observed in 2011 (45.6%). The positive attitude towards PLHIV progressively increased across the years (from 40.5 to 47.0% to 53.5%). Multivariable analysis revealed that women who had a higher educational level, higher wealth index, and lived in urban areas had higher odds for HIV/AIDS knowledge and positive attitude towards PLHIV across the years. In addition, the Northern zones had predominantly higher knowledge and attitude levels. Conclusions: Our study found increasing tendency for high HIV/AIDS knowledge and positive attitude towards PLHIV over the years. Women’s age, wealth index, education level and residence were consistently associated with knowledge and attitude over the years. There is a need for more pragmatic HIV/AIDS-related knowledge action plan to target to cover all age groups, all geo-political zones while paying close attention to the rural areas and the less educated women. In addition, more replicative studies of HIV/AIDS knowledge and attitude trends is crucial in monitoring of the progress of HIV interventions in the country in the coming years.en_US
dc.identifier.citationUkaegbu, E., Alibekova, R., Ali, S., Crape, B., & Issanov, A. (2022). Trends of HIV/AIDS knowledge and attitudes among Nigerian women between 2007 and 2017 using Multiple Indicator Cluster Survey data. BMC Public Health, 22(1). https://doi.org/10.1186/s12889-022-12865-yen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/6458
dc.language.isoenen_US
dc.publisherBMC Public Healthen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectType of access: Open Accessen_US
dc.subjectHIV/AIDSen_US
dc.subjectKnowledgeen_US
dc.subjectAttitudeen_US
dc.subjectTemporal trendsen_US
dc.subjectNigeriaen_US
dc.titleTRENDS OF HIV/AIDS KNOWLEDGE AND ATTITUDES AMONG NIGERIAN WOMEN BETWEEN 2007 AND 2017 USING MULTIPLE INDICATOR CLUSTER SURVEY DATAen_US
dc.typeArticleen_US
workflow.import.sourcescience

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