Dataset Information

Do Maternal Living Arrangements Influence the Vaccination Status of Children Age 12-23 Months? A Data Analysis of Demographic Health Surveys 2010-11 from Zimbabwe.

ABSTRACT:

Introduction

Although vaccination is an effective intervention to reduce childhood mortality and morbidity, reasons for incomplete vaccination, including maternal living arrangements, have been marginally explored. This study aims at assessing whether maternal living arrangements are associated with vaccination status of children aged 12-23 months in Zimbabwe. It also explores other variables that may be associated with having children not fully vaccinated.

Materials and methods

A cross-sectional analysis was performed on the DHS-VI done in Zimbabwe in 2010-2011 (response rate 93%). Incomplete vaccination of children (outcome), was defined as not having received one dose of BCG and measles, 3 doses of polio and DPT/Pentavalent. Maternal living arrangements (main exposure), and other exposure variables were analysed. Survey logistic regression was used to calculate crude and adjusted OR for exposures against the outcome.

Results

The dataset included 1,031 children aged 12-23 months. 65.8% of children were fully vaccinated. 65.7% of the mothers were married and cohabitating with a partner, 20.3% were married/partnered but living separately and 14% were not married. Maternal living arrangements were not associated with the vaccination status of children both in crude and adjusted analysis. Factors associated with poorer vaccination status of the children included: no tetanus vaccination for mothers during pregnancy (adjusted OR = 2.1, 95%CI 1.5;3.0), child living away from mother (adjusted OR = 1.5, 95%CI 1.2;1.8), mother's education (adjusted OR = 0.6, 95%CI 0.4;0.9), high number of children living in the household (adjusted OR = 1.5, 95%CI 1.1;2.2), child age (adjusted OR = 0.7, 95%CI 0.5;0.9).

Discussion

Maternal living arrangements were not associated with vaccination status of Zimbabwean children. Other factors, such as the mother's health-seeking behaviour and education were major factors associated with the children's vaccination status. Given the results of this study, it is strongly recommended that the vaccination coverage is increased by improving access to antenatal care and education for the parents.

SUBMITTER: Rossi R

PROVIDER: S-EPMC4500504 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Publications

Do Maternal Living Arrangements Influence the Vaccination Status of Children Age 12-23 Months? A Data Analysis of Demographic Health Surveys 2010-11 from Zimbabwe.

Rossi Rodolfo R

PloS one 20150713 7

<h4>Introduction</h4>Although vaccination is an effective intervention to reduce childhood mortality and morbidity, reasons for incomplete vaccination, including maternal living arrangements, have been marginally explored. This study aims at assessing whether maternal living arrangements are associated with vaccination status of children aged 12-23 months in Zimbabwe. It also explores other variables that may be associated with having children not fully vaccinated.<h4>Materials and methods</h4>A ...[more]

PMID: 26167939

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Project description:BACKGROUND:Timely initiation of breastfeeding or breastfeeding within 60?min of birth has been shown to be associated with significantly lower risk of infant mortality. The World Health Organization recommends starting breastfeeding within the first hour of birth, yet many women in sub-Saharan Africa do not observe this recommendation. To date, there is limited evidence of timely initiation of breastfeeding for Zimbabwe. Therefore, we undertook this study with the aim of calculating the trend in timely initiation of breastfeeding and to explore the correlates. METHODS:We used five rounds of Zimbabwe Demographic and Health Survey data conducted between 1999 and 2015. Participants were 15,923 mothers currently breastfeeding or who had a childbirth within five years preceding the surveys. Outcome variable was self-reported timing of timely breastfeeding for singleton births which was categorized as early (<?60?min), late (? 60?min to <?2 4?h) and very late (? 24?h). RESULTS:Prevalence of timely initiation of breastfeeding was 60.3% (95% Confidence Interval [CI] 57.44, 63.02) in 1999, 66.9% (95% CI 64.32, 69.4) in 2006, 65.8% (95% CI 63.7, 67.8) in 2011 and 58.3% (95% CI 56.3, 60.4) in 2015. It increased by 27 and 22% in 2006 and 2011 compared with that of the 1999 level respectively. We found no socio-economic and gender-based differentials in the prevalence of timely initiation of breastfeeding. Compared with women aged 15-19?years old, women 25-29 and 30-34?years old had higher odds of practicing timely initiation of breastfeeding. The odds of practicing timely initiation of breastfeeding among Muslim women (adjusted odds ratio [aOR] 1.2, 95% CI 1.07, 1.36) was 20% higher when compared with Christian mothers. Women who wanted to have their last child later (aOR 0.89, 95% CI 0.81, 0.97) had 11% lower odd of practicing timely initiation of breastfeeding when compared with women who wanted children then. CONCLUSIONS:The prevalence of timely initiation of breastfeeding in Zimbabwe was 58.3% in 2015, well over the 50% target recommended by WHO for all countries to attain by 2025.

Project description:Zimbabwe has a high human immunodeficiency virus (HIV) burden. It is therefore important to scale up HIV-testing and counseling (HTC) as a gateway to HIV prevention, treatment and care.To determine factors associated with being HIV-tested among adult men and women in Zimbabwe.Secondary analysis was done using data from 7,313 women and 6,584 men who completed interviewer-administered questionnaires and provided blood specimens for HIV testing during the Zimbabwe Demographic and Health Survey (ZDHS) 2010-11. Factors associated with ever being HIV-tested were determined using multivariate logistic regression.HIV-testing was higher among women compared to men (61% versus 39%). HIV-infected respondents were more likely to be tested compared to those who were HIV-negative for both men [adjusted odds ratio (AOR) = 1.53; 95% confidence interval (CI) (1.27-1.84)] and women [AOR = 1.42; 95% CI (1.20-1.69)]. However, only 55% and 74% of these HIV-infected men and women respectively had ever been tested. Among women, visiting antenatal care (ANC) [AOR = 5.48, 95% CI (4.08-7.36)] was the most significant predictor of being tested whilst a novel finding for men was higher odds of testing among those reporting a sexually transmitted infection (STI) in the past 12 months [AOR = 1.86, 95%CI (1.26-2.74)]. Among men, the odds of ever being tested increased with age ≥ 20 years, particularly those 45-49 years [AOR = 4.21; 95% CI (2.74-6.48)] whilst for women testing was highest among those aged 25-29 years [AOR = 2.01; 95% CI (1.63-2.48)]. Other significant factors for both sexes were increasing education level, higher wealth status and currently/formerly being in union.There remains a high proportion of undiagnosed HIV-infected persons and hence there is a need for innovative strategies aimed at increasing HIV-testing, particularly for men and in lower-income and lower-educated populations. Promotion of STI services can be an important gateway for testing more men whilst ANC still remains an important option for HIV-testing among pregnant women.

Project description:IntroductionDespite Ethiopia's policy intention to provide recommended vaccination services to underprivileged populations, inequity in polio immunisation persists.ObjectiveThis study examined inequity and trends in polio immunisation and determinant factors among children aged 12-23 months in Ethiopia between 2000 and 2019.MethodsCross-sectional data from 2000, 2005, 2011, 2016 and 2019 Ethiopian demographic and health surveys were analysed with the updated version of the WHO's Health Equity Assessment Toolkit software. Six standard equity measures: equity gaps, equity ratios, population attributable risk, population attributable fraction, slope index of inequality and relative index of inequality were used. Datasets were analysed and disaggregated by the five equality stratifiers: economic status, education, place of residence, sex of the child and regions. Multilevel logistic regression analysis was used to identify determinant factors.ResultsPolio immunisation coverage was increased from 34.5% (2000) to 60.0% (2019). The wealth index-related inequity, in coverage of polio immunisation between quintiles 5 and 1, was 20 percentage points for most surveys. The population attributable risk and population attributable fraction measure in 2011 indicate that the national polio immunisation coverage in that year could have been improved by nearly 36 and 81 percentage points, respectively, if absolute and relative wealth-driven inequity, respectively, had been avoided. The absolute difference between Addis Ababa and Afar Region was 74 percentage points in 2000 and 60 percentage points in 2019. In multilevel analysis result, individual-level factors like wealth index, maternal education antenatal care and place of delivery showed statistical significance.ConclusionAlthough polio immunisation coverage gradually increased over time, in the 20-year survey periods, still 40% of children remained unvaccinated. Inequities in coverage by wealth, educational status, urban-rural residence and administrative regions persisted. Increasing service coverage and improving equitable access to immunisations services may narrow the existing inequity gaps.

Project description:IntroductionChildhood vaccination is a cost-effective public health intervention to reduce child mortality and morbidity. But, vaccination coverage remains low, and previous similar studies have not focused on machine learning algorithms to predict childhood vaccination. Therefore, knowledge extraction, association rule formulation, and discovering insights from hidden patterns in vaccination data are limited. Therefore, this study aimed to predict childhood vaccination among children aged 12-23 months using the best machine learning algorithm.MethodsA cross-sectional study design with a two-stage sampling technique was used. A total of 1617 samples of living children aged 12-23 months were used from the 2016 Ethiopian Demographic and Health Survey dataset. The data was pre-processed, and 70% and 30% of the observations were used for training, and evaluating the model, respectively. Eight machine learning algorithms were included for consideration of model building and comparison. All the included algorithms were evaluated using confusion matrix elements. The synthetic minority oversampling technique was used for imbalanced data management. Informational gain value was used to select important attributes to predict childhood vaccination. The If/ then logical association was used to generate rules based on relationships among attributes, and Weka version 3.8.6 software was used to perform all the prediction analyses.ResultsPART was the first best machine learning algorithm to predict childhood vaccination with 95.53% accuracy. J48, multilayer perceptron, and random forest models were the consecutively best machine learning algorithms to predict childhood vaccination with 89.24%, 87.20%, and 82.37% accuracy, respectively. ANC visits, institutional delivery, health facility visits, higher education, and being rich were the top five attributes to predict childhood vaccination. A total of seven rules were generated that could jointly determine the magnitude of childhood vaccination. Of these, if wealth status = 3 (Rich), adequate ANC visits = 1 (yes), and residency = 2 (Urban), then the probability of childhood vaccination would be 86.73%.ConclusionsThe PART, J48, multilayer perceptron, and random forest algorithms were important algorithms for predicting childhood vaccination. The findings would provide insight into childhood vaccination and serve as a framework for further studies. Strengthening mothers' ANC visits, institutional delivery, improving maternal education, and creating income opportunities for mothers could be important interventions to enhance childhood vaccination.

Project description:BackgroundDietary diversity is an indicator of nutritional adequacy, which plays a significant role in child growth and development. Lack of adequate nutrition is associated with suboptimal brain development, lower school performance, and increased risk of mortality and chronic diseases. We aimed to determine the prevalence and determinants of meeting minimum dietary diversity (MDD), defined as consuming at least five out of eight basic food groups in the previous 24-h in three sub-Saharan African countries.MethodsA weighted population-based cross-sectional study was conducted using the most recent Demographic and Health Surveys (DHS). MDD data were available between 2019 and 2020 for three sub-Saharan African countries (Gambia, Liberia, and Rwanda). The study population included 5,832 children aged 6-23 months. A multivariable logistic regression model was developed to identify independent factors associated with meeting MDD.ResultsOverall, the weighted prevalence of children who met the MDD was 23.2% (95% CI: 21.7-24.8%), ranging from 8.6% in Liberia to 34.4% in Rwanda. Independent factors associated with meeting MDD were: age of the child (OR) = 1.96, 95% CI: 1.61, 2.39 for 12-17 months vs. 6-11 months], mothers from highest households' wealth status (OR = 1.86, 95% CI: 1.45-2.39) compared with the lowest, and mothers with secondary/higher education (OR = 1.69, 95% CI: 1.35-2.12) compared with those with no education. Mothers who were employed, had access to a radio, and those who visited a healthcare facility in the last 12 months were more likely to meet the MDD. There was no significant association between the child's sex and the odds of fulfilling the MDD.ConclusionsThere is substantial heterogeneity in the prevalence of MDD in these three sub-Saharan African countries. Lack of food availability or affordability may play a significant role in the low prevalence of MDD. The present analysis suggests that policies that will effectively increase the prevalence of meeting MDD should target poor households with appropriate materials or financial assistance and mothers with lower literacy. Public health interventions working with sectors such as education and radio stations to promote health education about the benefits of diverse diets is a critical step toward improving MDD in sub-Saharan Africa and preventing undernutrition.

Dataset Information

Do Maternal Living Arrangements Influence the Vaccination Status of Children Age 12-23 Months? A Data Analysis of Demographic Health Surveys 2010-11 from Zimbabwe.

Introduction

Materials and methods

Results

Discussion

Publications

Do Maternal Living Arrangements Influence the Vaccination Status of Children Age 12-23 Months? A Data Analysis of Demographic Health Surveys 2010-11 from Zimbabwe.

Similar Datasets

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