Dataset Information

Education, household wealth and blood pressure in Albania, Armenia, Azerbaijan and Ukraine: findings from the Demographic Health Surveys, 2005-2009.

ABSTRACT: While socioeconomic gradients in cardiovascular disease have been well established in high-income countries, this relationship is not well understood in middle-income countries.Data from Demographic Health Surveys collected in Albania (2008-09), Armenia (2005), Azerbaijan (2006) and Ukraine (2007) were used to estimate age-adjusted differences in systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), hypertension (HTN), elevated blood pressure, and optimal blood pressure across a standardized wealth index, level of educational attainment, and urban versus rural residence.The wealthiest Albanian females had lower average SBP, DBP, PP (all p<0.01) and HTN status (odds ratio [OR]=0.3, CI: 0.2-0.5, p<0.001) compared to the poorest; similar education gradients were also found. Such disparities also existed for Albanian men. Among Armenian women, urban (OR=1.4, 1.1-1.8, p<0.01), more educated (OR=0.7, CI: 0.6-0.9, p<0.01), and wealthier (OR=1.8, 1.4-2.4, p<0.001) women were more likely to have optimal blood pressure. Urban Armenian men were also more likely to have optimal blood pressure (OR=1.8, 1.2-2.9, p<0.01). Wealthier and urban Azerbaijani had lower risk of elevated blood pressure and Azerbaijani women displayed strong wealth gradients with higher quintiles of wealth associated with lower continuous blood pressure measures. There were no socioeconomic gradients for Ukrainian males or females.There is compelling evidence that wealth and education gradients affect the probability of HTN for women in Albania, Armenia, and Azerbaijan, and for men in Albania.

SUBMITTER: Harhay MO

PROVIDER: S-EPMC3638237 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Education, household wealth and blood pressure in Albania, Armenia, Azerbaijan and Ukraine: findings from the Demographic Health Surveys, 2005-2009.

Harhay Michael O MO Harhay Jason S JS Nair Meera M MM

European journal of internal medicine 20121214 2

<h4>Background</h4>While socioeconomic gradients in cardiovascular disease have been well established in high-income countries, this relationship is not well understood in middle-income countries.<h4>Methods</h4>Data from Demographic Health Surveys collected in Albania (2008-09), Armenia (2005), Azerbaijan (2006) and Ukraine (2007) were used to estimate age-adjusted differences in systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), hypertension (HTN), elevated blo ...[more]

PMID: 23246126

Similar Datasets

Project description:BackgroundThe aim of this study was to assess the disease burden of the 2009 pandemic influenza A(H1N1) in Greece.Methodology/principal findingsData on influenza-like illness (ILI), collected through cross-sectional nationwide telephone surveys of 1,000 households in Greece repeated for 25 consecutive weeks, were combined with data from H1N1 virologic surveillance to estimate the incidence and the clinical attack rate (CAR) of influenza A(H1N1). Alternative definitions of ILI (cough or sore throat and fever>38°C [ILI-38] or fever 37.1-38°C [ILI-37]) were used to estimate the number of symptomatic infections. The infection attack rate (IAR) was approximated using estimates from published studies on the frequency of fever in infected individuals. Data on H1N1 morbidity and mortality were used to estimate ICU admission and case fatality (CFR) rates. The epidemic peaked on week 48/2009 with approximately 750-1,500 new cases/100,000 population per week, depending on ILI-38 or ILI-37 case definition, respectively. By week 6/2010, 7.1%-15.6% of the population in Greece was estimated to be symptomatically infected with H1N1. Children 5-19 years represented the most affected population group (CAR:27%-54%), whereas individuals older than 64 years were the least affected (CAR:0.6%-2.2%). The IAR (95% CI) of influenza A(H1N1) was estimated to be 19.7% (13.3%, 26.1%). Per 1,000 symptomatic cases, based on ILI-38 case definition, 416 attended health services, 108 visited hospital emergency departments and 15 were admitted to hospitals. ICU admission rate and CFR were 37 and 17.5 per 100,000 symptomatic cases or 13.4 and 6.3 per 100,000 infections, respectively.Conclusions/significanceInfluenza A(H1N1) infected one fifth and caused symptomatic infection in up to 15% of the Greek population. Although individuals older than 65 years were the least affected age group in terms of attack rate, they had 55 and 185 times higher risk of ICU admission and CFR, respectively.

Project description:ObjectiveThis study aimed to assess the trends and factors that had contributed to the change in home delivery in Ethiopia over the last decade.Design, setting and analysisA nationally representative repeated cross-sectional survey was conducted using 2005, 2011 and 2016 Ethiopian Demographic and Health Surveys. Multivariate decomposition logistic regression analysis was employed to identify significant factors that have been contributed to the change in home delivery. Level of statistical significance was declared at a two-sided p value <0.05.Outcome measureTrends of home delivery.ParticipantsA total of 33 482 women were included.ResultsHome delivery has been decreased by 21% over the last decade in Ethiopia. In the last decade, 39% of the decrements in home delivery attributed to change in women's compositional characteristics. Antenatal care visits, educational status of the women and husband, birth order, religion, wealth index and distance from a health facility were the main sources of compositional change factors for the change of home delivery. Behavioural changes towards health facility delivery contributed approximately two-thirds of the decline of home delivery in Ethiopia. Antenatal care visits, birth order and religion have significantly contributed to the change of home delivery resulted from behavioural changes towards healthcare facility utilisation over the last decade.ConclusionDespite the importance of health facility delivery, a significant number of women still deliver at home in Ethiopia. Women's compositional characteristics and behaviour changes were significantly associated with the change in home delivery. Multisectoral educational intervention is needed to change women's attitudes towards home delivery. Antenatal care coverage and healthcare facility coverage should increase thereby to improve healthcare facility based-delivery practice. Further research needs to be done to explore the potential barriers of health facility delivery from a religious perspective.

Project description:IntroductionMaternal anemia is a worldwide public health problem especially in developing countries including Ethiopia. The burden of anemia among lactating mothers in Ethiopia was higher than those who were neither pregnant nor breastfeeding. To date, there is limited evidence on spatiotemporal patterns of anemia among lactating mothers in the country. Exploring the spatial patterns of maternal anemia is vital to design and monitor effective intervention programs. Therefore this study aimed to explore spatiotemporal patterns of anemia among lactating mothers in Ethiopia over the past one and half-decades.MethodsA total of 11,989 lactating mothers were included from the three consecutive Ethiopian Demographic and Health Surveys(2005, 2011, and 2016). The trend of anemia over the three surveys was showed. Furthermore, spatial autocorrelation analysis, cluster and outlier analysis, hotspot analysis, spatial interpolation, and spatial scan statistics were carried out to identify geographically risk areas of anemia among lactating mothers in Ethiopia. Finally, the most anemia risk areas were detected consistently by different spatial analytic methods in each survey.ResultsAnemia during lactation had an increasing trend from 2011 to 2016 in all regions of Ethiopia. It was also spatially clustered over three survey periods (Moran's I: 0.102-0.256, P<0.01).The hotspot areas were detected in Afar, Somali, Gambela, Dire Dawa, and Oromia regions during the last fifteen years. In 2005 and 2011, a total of 100 most likely clusters (Loglikelihood Ratio(LLR) = 8.8, P<0.05, and LLR = 45.94, P<0.001, respectively) were identified in the Afar region. However, in the 2016 survey period, primary clusters were shifted to the Somali region where 57 clusters (LLR = 72.73, P<0.001) were detected in the entire region. Besides, the risk prediction map showed that the eastern part of the country was at a higher risk of anemia during lactation.ConclusionAnemia during lactation was spatially clustered in Ethiopia. High-risk areas were detected in the eastern part of Ethiopia prominently in the Afar and Somali regions. Therefore, public health intervention activities designed in a targeted approach to impact high-risk populations in those hot spot areas wound be helpful to reduce anemia in Ethiopia.

Project description:SettingFemale genital mutilation (FGM) is a traditional surgical modification of the female genitalia comprising all procedures involving partial or total removal of the external female genitalia or other injury to the female genital organs for cultural or nontherapeutic reasons. It can be harmful and violates girls' and women's human rights. FGM is a worldwide problem but mainly practiced in Africa. FGM is still widely practiced in Ethiopia despite being made a criminal offence in 2004.ObjectiveUsing data from three Ethiopian Demographic Health Surveys (EDHS) conducted in 2000, 2005 and 2016 the objective was to assess changes in prevalence of FGM and associated factors among women of reproductive age and their daughters.MethodsEDHS datasets for the three surveys included data on FGM prevalence and socio-demographic factors. After weighting, the data were analysed using frequencies, proportions and the chi square test for trend. Categorical variables associated with FGM in 2016 were compared using OpenEpi and presented as prevalence ratios (Pr) with 95% Confidence Intervals (CI). Levels of significance were set at 5% (P<0.05).ResultsThere was overall decline in FGM prevalence (from 79.9% to 74.3% to 65.2%, P<0.001), especially in younger women aged 15-19 years, and in the proportion of women who believed that the practice should continue (from 59.7% to 28.3% to 17.5%, P<0.001). There was also a decreasing trend of FGM in the daughters of the mothers who were interviewed, with prevalence significantly lower in mothers who had not themselves undergone FGM. Most (88.3%) women with FGM had the surgery as a child with the procedure mainly performed by a traditional circumciser (87.3%). Factors associated with higher FGM prevalence and lack of progress over the sixteen years included living in certain regions, especially Somali where FGM prevalence remained consistently >95%, lack of school education, coming from rural areas and living in less wealthy households.ConclusionAlthough progress has been slow, the prevalence of FGM in Ethiopia has declined over time. Recommendations to quicken the trajectory of decline targeting integrated interventions to high prevalence areas focusing on mothers, fathers, youngsters, religious leaders and schools and ensuring that all girls receive some form of education.

Project description:BackgroundWomen of reproductive age 15-49 are at a high risk of iron-deficiency anemia, which in turn may contribute to maternal morbidity and mortality. Common causes of anemia include poor nutrition, infections, malaria, HIV, and treatments for HIV. We conducted a secondary analysis to study the prevalence of and associated risk factors for anemia in women to elucidate the intersection of HIV and anemia using data from 3 cycles of Zimbabwe Demographic and Health Survey (ZDHS) conducted in 2005, 2010, and 2015.MethodsDHS design comprises of a two-stage cluster-sampling to monitor and evaluate indicators for population health. A field hemoglobin test was conducted in eligible women. Anemia was defined as hemoglobin < 11.0 g/dL in pregnant women; < 12.0 in nonpregnant women. Chi-squared test and multivariable logistic regression analysis accounting for complex survey design were used to determine the prevalence and risk factors associated with anemia.ResultsPrevalence (95% confidence interval (CI)) of anemia was 37.8(35.9-39.7), 28.2(26.9-29.5), 27.8(26.5-29.1) in 2005, 2010, and 2015, respectively. Approximately 9.4, 7.2, and 6.1%, of women had moderate anemia; (Hgb 7-9.9) while 1.0, 0.7, and 0.6% of women had severe anemia (Hgb < 7 g/dL)), in 2005, 2010, and 2015, respectively. Risk factors associated with anemia included HIV (HIV+: 2005: OR (95% CI) = 2.40(2.03-2.74), 2010: 2.35(1.99-2.77), and 2015: 2.48(2.18-2.83)]; Residence in 2005 and 2010 [(2005: 1.33(1.08-1.65), 2010: 1.26(1.03-1.53)]; Pregnant or breastfeeding women [2005: 1.31(1.16-1.47), 2010: 1.23(1.09-1.34)]; not taking iron supplementation [2005: 1.17(1.03-1.33), 2010: 1.23(1.09-1.40), and2015: 1.24(1.08-1.42)]. Masvingo, Matebeleland South, and Bulawayo provinces had the highest burden of anemia across the three DHS Cycles. Manicaland and Mashonaland East had the lowest burden.ConclusionThe prevalence of anemia in Zimbabwe declined between 2005 and 2015 but provinces of Matebeleland South and Bulawayo were hot spots with little or no change HIV positive women had higher prevalence than HIV negative women. The multidimensional causes and drivers of anemia in women require an integrated approach to help ameliorate anemia and its negative health effects on the women's health. Prevention strategies such as promoting iron-rich food and food fortification, providing universal iron supplementation targeting lowveld provinces and women with HIV, pregnant or breastfeeding are required.

Dataset Information

Education, household wealth and blood pressure in Albania, Armenia, Azerbaijan and Ukraine: findings from the Demographic Health Surveys, 2005-2009.

Publications

Education, household wealth and blood pressure in Albania, Armenia, Azerbaijan and Ukraine: findings from the Demographic Health Surveys, 2005-2009.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets