PREVALENCE AND FACTORS ASSOCIATED WITH THE PERFORMANCE OF MAMMOGRAPHY AND PAP SMEAR TEST

Objective: To estimate the prevalence and factors associated with the performance of mammography and pap smear test in women from the city of Maringá, Paraná. Methods: Population-based cross-sectional study conducted with 345 women aged over 20 years in the period from March 2011 to April 2012. An interview was carried out using a questionnaire proposed by the Ministry of Health, which addressed sociodemographic characteristics, risk factors for chronic noncommunicable diseases and issues related to mammographic and pap screening. Data were analyzed using bivariate analysis, crude analysis with odds ratio (OR) and chi-squared test using Epi Info 3.5.1 program; multivariate analysis using logistic regression was performed using the software Statistica 7.1, with a significance level of 5% and a confidence interval of 95%. Results: The mean age of the women was 52.19 (±5.27) years. The majority (56.5%) had from 0 to 8 years of education. Additionally, 84.6% (n=266) of the women underwent pap smear and 74.3% (n=169) underwent mammography. The lower performance of pap smear test was associated with women with 9-11 years of education (p=0.01), and the lower performance of mammography was associated with women without private health insurance (p<0.01). Conclusion: The coverage of mammography and pap smear test was satisfactory among the women from Maringá, Paraná. Low education level and women who depended on the public health system presented lower performance of mammography.

Examining underlying determinants of fertility rates in Zambia: Evidence from the 2007 Zambia Demographic and Health Survey

Limited data exits on factors influencing fertility in Zambia. This study examined underlying determinants of fertility patterns and levels in Zambia. Data extracted from the 2007 Zambia Demographic and Health Survey was analysed using bivariate and multivariate logistic regression. Of 7146 women aged 15-49 years, age group 25-29 years experienced the highest prevalence of births (28.5%). Married women accounted for 27% of all births. Women with low education recorded more births (27%) than those with higher education (9.5%) (P<0.001). Fertility was higher among the poorest (28%) compared to the richest (12%) (P<0.001). Though not statistically significant, urban areas recorded more births (25%) than rural areas (15%). Education and wealth significantly influence fertility Zambia. Fertility management strategies should consider these factors and their fertility reducing effects. Improving education and wealth status of women can contribute to fertility reduction, particularly rural women. Lower fertility, with reduced mortality and migration, would provide less pressure on distribution of the limited economic resources of the country.

The impact of household size on poverty: An analysis of various low-income townships in the Northern Free State region, South Africa

Poverty is a multi-dimensional socio-economic problem in most sub-Saharan African countries. The purpose of this study is to analyse the relationship between household size and poverty in low-income communities. The Northern Free State region in South Africa was selected as the study region. A sample of approximately 2 900 households was randomly selected within 12 poor communities in the region. A poverty line was calculated and 74% of all households were found to live below the poverty line. The Pearson’s chi-square test indicated a positive relationship between household size and poverty in eleven of the twelve low-income communities. Households below the poverty line presented larger households than those households above the poverty line. This finding is in contradiction with some findings in other African countries due to the fact that South Africa has higher levels of modernisation with less access to land for subsistence farming. Effective provision of basic needs, community facilities and access to assets such as land could assist poor households with better quality of life. Poor households also need to be granted access to economic opportunities, while also receiving adult education regarding financial management and reproductive health.