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.

Evaluation of Neurodevelopment and Factors Affecting it in Children With Acyanotic Congenital Cardiac Disease

Background: The rate of congenital heart disease is 0.8% in all live births. The majority of this, however, is acyanotic congenital heart disease. The survival rate of children with cardiac disease has increased with the developments provided in recent years and their lifetime is extended. Objectives: This study aims to evaluate neurodevelopment of children with uncomplicated acyanotic congenital heart disease in preschool period and determine the factors affecting their neurodevelopmental process. Patients and Methods: 132 children with acyanotic congenital heart disease aged 6 - 72 months were involved in the study. Mental development and intelligence levels of patients under 2 years old were assessed by using Bayley Development Scale-III, and Stanford Binet Intelligence test was employed for patients over 2 years old. Denver Developmental Screening Test II was applied to all patients for their personal-social, fine motor, gross motor and language development. Results: The average age of patients (67 girls, 65 boys) included in the study was 35.2 ± 19.6 months. It was determined that there were subnormal mental level in 13 (10%) patients and at least one specific developmental disorder in 33 (25%) patients. Bayley Mental Development Scale score of patients who had received incubator care in perinatal period was found significantly low (88 ± 4.2) compared to those with no incubator care (93.17 ± 8.5) (P = 0.028). Low educational level of father was established to be linked with low mental development scores at the age of 2 and following that age (P < 0.05). Iron deficiency anemia was discovered to be related to low psychometric test scores at every age (P < 0.05). Conclusions: Neurodevelopmental problems in children with acyanotic congenital heart disease were found higher compared to those in society. Mental development and intelligence levels of patients were determined to be closely associated with receiving incubator care, father’s educational level and iron deficiency anemia.