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Prevalence of key breastfeeding indicators in 29 sub-Saharan African countries: a meta-analysis of demographic and health surveys (2010-2015).

ABSTRACT: OBJECTIVES:To carry out a meta-analysis to assess the prevalence of four key breastfeeding indicators in four subregions of 29 sub-Saharan African countries. DESIGN, SETTINGS AND PARTICIPANTS:The 29 countries were categorised into four subregions, and using cross-sectional data from the most recent Demographic and Health Surveys (2010-2015) of these countries prevalence of each of four key breastfeeding indicators was estimated for each of the subregions by carrying out a meta-analysis. Due to the presence of significant heterogeneity among the various surveys (I2>50%), a random-effect analytic model was used, and sensitivity analysis was performed to examine the effects of outliers. MAIN OUTCOME VARIABLES:Early initiation of breast feeding, exclusive breast feeding, predominant breast feeding and bottle feeding. RESULTS:The overall prevalence of early initiation of breast feeding varied between a lowest of 37.84% (95% CI 24.62 to 51.05) in Central Africa to a highest of 69.31% (95% CI 67.65 to 70.97) in Southern Africa; the overall prevalence of exclusive breast feeding ranged between a lowest of 23.70% (95% CI 5.37 to 42.03) in Central Africa to a highest of 56.57% (95% CI 53.50 to 59.95) in Southern Africa; the overall prevalence of predominant breast feeding ranged between a lowest of 17.63% (95% CI 12.70 to 22.55) in East Africa and a highest of 46.37% (95% CI 37.22 to 55.52) in West Africa; while the prevalence of bottle feeding varied between a lowest of 8.17% (95% CI 5.51 to 10.84) in West Africa and a highest of 30.05% (95% CI 28.42 to 31.69) in Southern Africa. CONCLUSIONS:West Africa and Central Africa recorded lower overall prevalence of early initiation of breast feeding and exclusive breast feeding than the WHO's recommended target of 50% by the year 2025. Intervention for improved breastfeeding practices in sub-Saharan Africa should target West and Central Africa, while intervention to minimise bottle feeding should target Southern Africa.

SUBMITTER: Issaka AI

PROVIDER: S-EPMC5665288 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Prevalence of key breastfeeding indicators in 29 sub-Saharan African countries: a meta-analysis of demographic and health surveys (2010-2015).

Issaka Abukari Ibrahim AI Agho Kingsley Emwinyore KE Renzaho Andre Mn AM

BMJ open 20171024 10

<h4>Objectives</h4>To carry out a meta-analysis to assess the prevalence of four key breastfeeding indicators in four subregions of 29 sub-Saharan African countries.<h4>Design, settings and participants</h4>The 29 countries were categorised into four subregions, and using cross-sectional data from the most recent Demographic and Health Surveys (2010-2015) of these countries prevalence of each of four key breastfeeding indicators was estimated for each of the subregions by carrying out a meta-ana ...[more]

PMID: 29070635

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Project description:ObjectivesTo examine the association between women's autonomy and the utilisation of maternal healthcare services across 31 Sub-Saharan African countries.Design, setting and participantsWe analysed the Demographic and Health Survey (DHS) (2010-2016) data collected from married women aged 15-49 years. We used four DHS measures related to women's autonomy: attitude towards domestic violence, attitude towards sexual violence, decision making on spending of household income made by the women solely or jointly with husbands and decision making on major household purchases made by the women solely or jointly with husbands. We used multiple logistic regression analyses to examine the association between women's autonomy and the utilisation of maternal healthcare services adjusted for five potential confounders: place of residence, age at birth of the last child, household wealth, educational attainment and working status. Adjusted ORs (aORs) and 95% CI were used to produce the forest plots.Outcome measuresThe primary outcome measures were the utilisation of ≥4 antenatal care visits and delivery by skilled birth attendants (SBA).ResultsPooled results for all 31 countries (194 883 women) combined showed weak statistically significant associations between all four measures of women's autonomy and utilisation of maternal healthcare services (aORs ranged from 1.07 to 1.15). The strongest associations were in the Southern African region. For example, the aOR for women who made decisions on household income solely or jointly with husbands in relation to the use of SBAs in the Southern African region was 1.44 (95% CI 1.21 to 1.70). Paradoxically, there were three countries where women with higher autonomy on some measures were less likely to use maternal healthcare services. For example, the aOR in Senegal for women who made decisions on major household purchases solely or jointly with husbands in relation to the use of SBAs (aOR=0.74 95% CI 0.59 to 0.94).ConclusionOur results revealed a weak relationship between women's autonomy and the utilisation of maternal healthcare services. More research is needed to understand why these associations are not stronger.

Project description:IntroductionExtant studies universally document a positive gradient between socioeconomic status (SES) and health. A notable exception is the apparent concentration of HIV/AIDS among wealthier individuals. This paper uses data from the Demographic Health Surveys and AIDS Indicator Surveys to examine socioeconomic inequalities in HIV/AIDS prevalence in 24 sub-Saharan African (SSA) countries, the region that accounts for two-thirds of the global HIV/AIDS burden.MethodsThe relative and generalized concentration indices (RC and GC) were used to quantify wealth-based socioeconomic inequalities in HIV/AIDS prevalence for the total adult population (aged 15-49), for men and women, and in urban and rural areas in each country. Further, we decomposed the RC and GC indices to identify the determinants of socioeconomic inequalities in HIV/AIDS prevalence in each country.ResultsOur findings demonstrated that HIV/AIDS was concentrated among higher SES individuals in the majority of SSA countries. Swaziland and Senegal were the only countries in the region where HIV/AIDS was concentrated among individuals living in poorer households. Stratified analyses by gender showed HIV/AIDS was generally concentrated among wealthier men and women. In some countries, including Kenya, Lesotho Uganda, and Zambia, HIV/AIDS was concentrated among the poor in urban areas but among wealthier adults in rural areas. Decomposition analyses indicated that, besides wealth itself (median = 49%, interquartile range [IQR] = 90%), urban residence (median = 54%, IQR = 81%) was the most important factor contributing to the concentration of HIV/AIDS among wealthier participants in SSA countries.ConclusionsFurther work is needed to understand the mechanisms explaining the concentration of HIV/AIDS among wealthier individuals and urban residents in SSA. Higher prevalence of HIV/AIDS could be indicative of better care and survival among wealthier individuals and urban adults, or reflect greater risk behaviour and incidence. Moreover, differential findings across countries suggest that effective intervention efforts for reducing the burden of HIV/AIDS in the SSA should be country specific.

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:ObjectiveTo explore the factors associated with antenatal care (ANC) visits.DesignA secondary data analysis from cross-sectional studies was conducted.SettingSub-Saharan Africa.Participants56 002 women aged 15-49 years in Ghana (3224), Kenya (10 981), Malawi (9541), Namibia (2286), Rwanda (4416), Senegal (6552), Tanzania (5536), Uganda (7979) and Zambia (5487) were analysed.Outcomes4+ANC visits.ResultsOverall, 55.52% (95% CI: 55.11% to 55.93%) of women made 4+ANC visits. The highest 4+ANC visits were in Ghana (85.6%) and Namibia (78.9%), and the lowest were in Senegal (45.3%) and Rwanda (44.5%). Young women 15-19 years had the lowest uptake of 4+ANC visits. Multivariable analysis indicated that the odds of 4+ANC visits were 14% lower among women from rural areas compared with those living in towns (adjusted OR (AOR) 0.86; 95% CI: 0.81 to 0.91). This difference was significant in Kenya, Malawi, Senegal and Zambia. However, in Zambia, the odds of 4+ANC visits were 48% higher (AOR 1.48; 95% CI: 1.2 to 1.82) among women from rural compared with urban areas. Women with higher educational level had more than twofold higher odds of 4+ANC visits in seven of the nine countries, and was significant in Kenya, Malawi, Rwanda and Zambia. Compared with the poorest household wealth category, odds of 4+ANC visits increased by 12%, 18%, 32% and 41% for every 20% variation on the wealth quantile. Women in their first-time pregnancy had higher odds of 4+ANC visits compared with others across all countries, and women who had access to media at least once a week had a 22% higher probability of 4+ANC visits than women who had no access to media (AOR 1.22, 95% CI: 1.15 to 1.29).ConclusionThe number of ANC visits was considered to be inadequate with substantial variation among the studied countries. Comprehensive interventions on scaling uptake of ANC are needed among the low-performing countries. Particular attention should be given to women of low economic status and from rural areas.

Project description:BackgroundThis study aims to investigate the measurement of breastfeeding prevalence indicators using Demographic and Health Surveys (DHS) data, focusing on early initiation, exclusive breastfeeding, and continued breastfeeding indicators as reported by the World Health Organization (WHO) and the United Nations Children's Fund (UNICEF) and on the discrepancies arising from small changes in their definition.MethodsTwo hundred sixty DHS samples from 78 countries were analyzed to re-calculate usual indicators reported by WHO and UNICEF: early initiation of breastfeeding (EIB), exclusive breastfeeding under 6 months (EBF), and continued breastfeeding between 1 and 2 years (CBF12 and CBF24). Additionally, alternative estimates of the same indicators, slightly changing their definition, were calculated to test their robustness.ResultsThe WHO and UNICEF indicators for early initiation (EIB) primarily capture cases where breastfeeding is initiated "immediately" after birth, omitting those initiated within 0 or 1 hour. This discrepancy leads to substantial underestimation of levels in some regions, particularly South Asia, and in trends. Furthermore, sizable discrepancies between exclusive breastfeeding (EBF) indicators arise from the inclusion or exclusion of plain water in the definition, with significant variations across regions, especially in West and Middle Africa. However, continued breastfeeding indicators showed consistency across definitions, proving them robust for international comparisons and time trend estimations.ConclusionThis study highlights the importance of understanding how breastfeeding indicators are defined and calculated using DHS data. Researchers should be cautious when using WHO and UNICEF indicators for early initiation and exclusive breastfeeding, as they may underestimate prevalence due to their narrow definition. Continued breastfeeding indicators, on the other hand, are less affected by small changes in definitions and provide reliable measures for cross-country comparisons and trend analyses. These findings underscore the need for standardized robust definitions and transparent reporting of breastfeeding indicators in global health assessments.

Project description:ObjectivesThe burden and highest regional prevalence of anaemia is reported in sub-Saharan Africa (SSA). The study evaluated changes in anaemia prevalence across the Demographic Health Surveys (DHS) periods in SSA and reported factors influencing observed changes in the trend.MethodThe study was implemented by a two-stage cross-sectional stratified sampling approach. The study involved women of reproductive age (15-49 years) in sub-Saharan Africa countries (Ghana, Sierra Leone, Mali, and Benin) using two different periods of their demographic health surveys (DHS) data. The study adopted both descriptive and inferential statistical methods. The chi-square test was used to determine the existence of a statistically significant relationship between the outcome and predictor variables and test the observed changes in anaemia. Multivariable logistic regression analyses were conducted on each survey year and the pooled dataset for eligible study countries. Multivariate decomposition analysis was performed to explain how compositional changes and behavioural effects of women characteristics affected the changes in anaemia prevalence. The study reported frequencies, percentages and odds ratios along with their 95% confidence intervals (CI).ResultsGhana and Sierra Leone experienced 17.07% [95% CI: 14.76-19.37, p < 0.001] and 1% [95% CI: 1.0-2.9, p > 0.05] of anaemia decrease from period 1 to period 2, respectively, while Mali and Benin experienced 11% [95% CI: 9.14-12.90, p < 0.001] and 16.7% [95% CI: 14.99-18.5, p < 0.001] of increase in anaemia prevalence from period 1 to period 2, respectively. Behavioural effects explained the decrease in Ghana and the increase in Benin and Mali while endowments or compositional changes explained the decrease in Sierra Leone.ConclusionAnaemia continues to pose a significant challenge in sub-Saharan Africa. Therefore, there is an imperative need to scale up the implementation of nutrition-related programmes and advocacies to ensure optimum changes in women nutrition-related behaviours.

Project description:INTRODUCTION:Socio-behavioural factors may contribute to the wide variance in HIV prevalence between and within sub-Saharan African (SSA) countries. We studied the associations between socio-behavioural variables potentially related to the risk of acquiring HIV. METHODS:We used Bayesian network models to study associations between socio-behavioural variables that may be related to HIV. A Bayesian network consists of nodes representing variables, and edges representing the conditional dependencies between variables. We analysed data from Demographic and Health Surveys conducted in 29 SSA countries between 2010 and 2016. We predefined and dichotomized 12 variables, including factors related to age, literacy, HIV knowledge, HIV testing, domestic violence, sexual activity and women's empowerment. We analysed data on men and women for each country separately and then summarized the results across the countries. We conducted a second analysis including also the individual HIV status in a subset of 23 countries where this information was available. We presented summary graphs showing associations that were present in at least six countries (five in the analysis with HIV status). RESULTS:We analysed data from 190,273 men (range across countries 2295 to 17,359) and 420,198 women (6621 to 38,948). The two variables with the highest total number of edges in the summary graphs were literacy and rural/urban location. Literacy was negatively associated with false beliefs about AIDS and, for women, early sexual initiation, in most countries. Literacy was also positively associated with ever being tested for HIV and the belief that women have the right to ask their husband to use condoms if he has a sexually transmitted infection. Rural location was positively associated with false beliefs about HIV and the belief that beating one's wife is justified, and negatively associated with having been tested for HIV. In the analysis including HIV status, being HIV positive was associated with female-headed household, older age and rural location among women, and with no variables among men. CONCLUSIONS:Literacy and urbanity were strongly associated with several factors that are important for HIV acquisition. Since literacy is one of the few variables that can be improved by interventions, this makes it a promising intervention target.

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Prevalence of key breastfeeding indicators in 29 sub-Saharan African countries: a meta-analysis of demographic and health surveys (2010-2015).

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Prevalence of key breastfeeding indicators in 29 sub-Saharan African countries: a meta-analysis of demographic and health surveys (2010-2015).

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