Tanzanian women´s knowledge about Cervical Cancer and HPV and their prevalence of positive VIA cervical screening results. Data from a Prevention and Awareness Campaign in Northern Tanzania, 2017 – 2019

Henke, Antje; Kluge, Ulrike; Borde, Theda; Serventi, Furaha; Henke, Oliver

doi:10.1080/16549716.2020.1852780

Cited by 15 publications

(23 citation statements)

References 29 publications

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“…Evidence supports the nding that inequalities in these underserved cervical pre-cancer screening countries favoured women who were older, resided in urban areas, were more educated and in the highest wealth quintile than younger women, who lived in rural areas, were uneducated and in the lowest wealth quintile [9,17,18]. Studies conducted in Ethiopia, Rwanda, Tanzania, Zambia, and Zimbabwe, also support this nding [10,27,28,12,29,11,12,13,14,15]. A study of 18 resource-constrained countries, of which eight were from sub-Saharan Africa further found that wealth status increased socioeconomic inequalities in cervical pre-cancer screening, whereas being married, unemployed and living in urban communities reduced it [9].…”

Section: Discussionmentioning

confidence: 76%

“…Studies show that residence, geography, education, wealth, age, health insurance status, and the capacity of health systems in uence access to cervical pre-cancer screening. Other factors include, a history of multiple sexual partners, HIV-positive status and women's social interactions [9,10,11,12,13,14,15,16,17,18]. These studies showed that women who were older, resided in urban areas, and were more educated and wealthier were screened more often than younger, rural residents, uneducated, and poor women, with a few exceptions [9,19,20,21,22].…”

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confidence: 99%

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Socioeconomic inequalities in cervical pre-cancer screening among women in Ethiopia, Malawi, Rwanda, Tanzania, Zambia, and Zimbabwe – Analysis of Population-Based HIV Impact Assessment surveys

Chipanta

Kapambwe

Nyondo-Mipando

et al. 2022

Preprint

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Background: Screening for cervical pre-cancerous lesions may be inequitable among women in sub-Saharan African countries. This study examined age, residence, education and wealth inequalities and their combinations on cervical pre-cancer screening in Ethiopia, Malawi, Rwanda, Tanzania, Zambia, and Zimbabwe. Methods: We used the Population-Based HIV Impact Assessment (PHIA) data, including cervical pre-cancer screening variables and measured the magnitude of inequality between subgroups in percentages points, considering differences of 20%+ as high inequality, 5% to 20% medium, 0 to 5% as low. We described the sample characteristics using descriptive statistics for each country and examined the associations between cervical pre-cancer screening and each inequality. We analysed the differences using multivariable logistic regressions, controlling for covariates. We estimated the inequalities in cervical pre-cancer screening probability for each inequality alone and in combinations using marginal effects models. Results: The sample size of females aged 25–49 years ranged from 5882 in Ethiopia to 9186 in Tanzania. Self-reported cervical pre-cancer screening was low in the surveyed countries ranging from 3.5% (95% Confidence Interval (CI) 3.1%–4.0%) in Rwanda to 17.1% (95% CI 15.8%–18.5%) and 17.4% (95% CI16.1%–18.8%) in Zambia and Zimbabwe. Inequalities in cervical pre-cancer screening were low based on age, residence, education, and wealth. Combining the inequalities led to significant inequalities in self-reported cervical pre-cancer screening between rural dwelling women aged 25–34 years, in the lowest wealth quintile, with a primary education level, and urban dwelling women aged 35–49 years, in the highest quintile, with the highest education level ranging from 4.4% in Rwanda to 44.6% in Zimbabwe. Conclusions: Cervical pre-cancer screening was inequitable and low. None of the countries achieved one-third of the World Health Organisation target of screening 70% of eligible women for cervical pre-cancer by 2030. Inequalities in cervical pre-cancer screening related to age, rural-urban residence, education, and wealth were low. Their combinations led to high inequalities, preventing younger, rural-dwelling, uneducated, women in the lowest wealth quintile from cervical pre-cancer screening. Governments should include and monitor equity in their cervical pre-cancer screening programmes. Research is needed to understand how to scale up equitable cervical pre-cancer screening.

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Section: Discussionmentioning

confidence: 76%

mentioning

confidence: 99%

Socioeconomic inequalities in cervical pre-cancer screening among women in Ethiopia, Malawi, Rwanda, Tanzania, Zambia, and Zimbabwe – Analysis of Population-Based HIV Impact Assessment surveys

Chipanta

Kapambwe

Nyondo-Mipando

et al. 2022

Preprint

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“…Makuza, et al (2015) found low prevalence and risk factors for cervical cancer and pre-cancer ons lesions among low party Rewanda women between 30 and 50 years old undergoing screening. Henke, et al (2021) recorded that women who have had 3 or more full term pregnancies have an increased risk of developing cervical cancer. These might be due to the increase exposure to human papilloma virus infection (HPV) with sexual actuality.…”

Section: Methods Of Data Analysismentioning

confidence: 99%

Effect of Age and Parity on Practice of Cervical Cancer Screening Among Women of Child Bearing Age in Anambra State

Stella¹

2021

GJCCR

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The goal of this study was to see how age and parity affected cervical cancer screening among women of childbearing age in Anambra State. The population of the study was 1,876 women of childbearing age who registered for prenatal care in public hospitals in Anambra State during the study period. Two research questions and two research hypotheses led the investigation. A multi-stage (purposive) sampling procedure was used to choose the one hundred and eighty-five (185) participants. Cronbach alpha was used to estimate the instrument's internal consistency, which was used to determine its dependability. The Statistical Package for Social Science (SPSS) was used for data input and analysis and inferential statistics (ANCOVA) was utilized to test the null hypotheses at the 0.05 level of significance. The results showed that was no significant difference in mean cervical cancer screening practice scores of women of child bearing age of different age groups. Also there was equally no significant interaction between treatment groups and parity levels on mean cervical cancer practice scores of women of child bearing age. Important conclusions and recommendations were made based on the findings.

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“…In addition, in Tanzania is an evident trend of obesity which makes the population vulnerable to get cancer and other nutrition related diseases [8] [9]. However, information about nutritional behaviour of people living in rural and urban regions is sparse [5] [20].…”

Section: Introductionmentioning

confidence: 99%

“…Tanzania is one of the largest countries in Sub-Saharan Africa with increasing urbanization and a growing population of almost 60 million people. Tanzania`s urbanization is associated with profound lifestyle changes and a risk of developing overweight and obesity, poor physical activity, and poor nutrition patterns [8] [9]. However, nutritional status is equally considered to be an important determinant of health [10].…”

Section: Introductionmentioning

confidence: 99%

Nutrition Behavior and Body Mass Index in Tanzania. Survey from a Cancer Prevention and Awareness Campaign in Northern Tanzania, 2019‪-‬ 2020‬‬‬‬

Henke¹,

S²,

Henke³

et al. 2021

Preprint

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Objective: In Tanzania, cancer is becoming a major public health concern. Risk factors such as poor dietary behavior, high body mass index, physical inactivity, alcohol and tobacco consumption increase the incidence. Limited cancer treatment facilities, prevention programs, and poor knowledge of cancer risk factors and symptoms in the population contribute to late-stage presentation and high mortality rates. The objective of this study is to examine the association of lifestyle factors including body mass index (BMI), physical activity, and dietary behaviors among participants who attended three cancer prevention events in rural and urban areas in Tanzania. Methods: A cross-sectional survey among PrevACamp- attendees in northern Tanzania between August 2019 and February 2020 were chosen. Participants were interviewed using a structured questionnaire on sociodemographic data, medical history, dietary habits, and physical activity, the body mass index was also determined.Results: 235 participants (114 urban/ 121 rural) were included in the survey. Urban residents had higher rates of obesity (p=0.0021) and less physical activity than participants from rural areas (4.63 days [SD=2.03] and 5.50 days [SD=2.00], respectively (p=0.006). Urban dwellers often skip their lunch and prefer to eat a snack. They use salt frequently, consume more processed meat, eat mainly starchy foods, drink more alcohol and sweetened sodas. Conclusion: Rural women more interested in cancer prevention than men. People in rural areas are more physically active and less overweight than those in urban areas. The cause is manifold, yet they hint at a lack of health care for women and a progressing urbanization according to Western patterns. There is an alarming high percentage of overweight among urban dwellers. Although people eat more healthy foods compared to rural populations, they tend to have a high body mass index. Physical inactivity and overweight will be a serious problem in Tanzania in the future, contributing to the risk of cancer.

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Tanzanian women´s knowledge about Cervical Cancer and HPV and their prevalence of positive VIA cervical screening results. Data from a Prevention and Awareness Campaign in Northern Tanzania, 2017 – 2019

Cited by 15 publications

References 29 publications

Socioeconomic inequalities in cervical pre-cancer screening among women in Ethiopia, Malawi, Rwanda, Tanzania, Zambia, and Zimbabwe – Analysis of Population-Based HIV Impact Assessment surveys

Socioeconomic inequalities in cervical pre-cancer screening among women in Ethiopia, Malawi, Rwanda, Tanzania, Zambia, and Zimbabwe – Analysis of Population-Based HIV Impact Assessment surveys

Effect of Age and Parity on Practice of Cervical Cancer Screening Among Women of Child Bearing Age in Anambra State

Nutrition Behavior and Body Mass Index in Tanzania. Survey from a Cancer Prevention and Awareness Campaign in Northern Tanzania, 2019‪-‬ 2020‬‬‬‬

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