scholarly journals Stunting and Anemia in Children from Urban Poor Environments in 28 Low and Middle-income Countries: A Meta-analysis of Demographic and Health Survey Data

Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3539
Author(s):  
Shireen Assaf ◽  
Christina Juan
Keyword(s):  
Survey Data ◽  
Health Survey ◽  
Urban Poor ◽  
Urban Poverty ◽  
Demographic And Health Survey ◽  
Child Malnutrition ◽  
Middle Income ◽  
Middle Income Countries ◽  
Health Survey Data ◽  
Low And Middle Income

Child malnutrition remains a global concern with implications not only for children’s health and cognitive function, but also for countries’ economic growth. Recent reports suggest that global nutrition targets will not be met by 2025. Large gaps are evident between and within countries. One of the largest disparities in child malnutrition within counties is between urban and rural children. Large disparities also exist in urban areas that have higher rates of child malnutrition in the urban poor areas or slums. This paper examines stunting and anemia related to an urban poverty measure in children under age 5 in 28 low and middle-income countries with Demographic and Health Survey data. We used the United Nations Human Settlements Programme (UN-HABITAT) definition to define urban poor areas as a proxy for slums. The results show that in several countries, children had a higher risk of stunting and anemia in urban poor areas compared to children in urban non-poor areas. In some countries, this risk was similar to the risk between the rural and urban non-poor. Tests of heterogeneity showed that these results were not homogeneous across countries. These results help to identify areas of greater disadvantage and the required interventions for stunting and anemia.

scholarly journals Exploring the influencing factors for non-utilisation of healthcare facilities during childbirth: a special mixed-method study of Bangladesh and 13 other low- and middle-income countries based on Demographic and Health Survey data

2019 ◽  
Vol 7 (4) ◽  
pp. e000008
Author(s):  
Tanjim Siddiquee ◽  
Henry Ratul Halder ◽  
Md Akhtarul Islam
Keyword(s):  
Birth Order ◽  
Health Survey ◽  
Mixed Method ◽  
Demographic And Health Survey ◽  
Cross Sectional ◽  
Middle Income ◽  
Healthcare Facilities ◽  
Middle Income Countries ◽  
Significant Factors ◽  
Low And Middle Income

ObjectiveTo identify the associated factors affecting the decision regarding institutional delivery for pregnant women in 14 low- and middle-income countries (LMICs).DesignA special mixed-method design was used to combine cross-sectional studies for harmonising data from Bangladesh and 13 other countries to obtain extended viewpoints on non-utilisation of institutional healthcare facilities during childbirth.SettingDemographic and Health Survey (DHS) data for 14 LMICs were used for the study.ParticipantsThere are several kinds of datasets in the DHS. Among them ‘IndividualWomen’s Records’ was used as this study is based on all ever-married women.ResultsIn the binary logistic and meta-analysis models for Bangladesh, ORs for birth order were 0.57 and 0.51 and for respondents’ age were 1.50 and 1.07, respectively. In all 14 LMICs, the most significant factors for not using institutional facilities during childbirth were respondents’ age (OR 0.903, 95% CI 0.790 to 1.032) and birth order (OR 0.371, 95% CI 0.327 to 0.421).ConclusionBirth order and respondents’ age were the two most significant factors for non-utilisation of healthcare facilities during childbirth in 14 LMICs.

Interviewer effects on the reporting of intimate partner violence in the 2015 Zimbabwe Demographic and Heath Survey

2020 ◽  
Vol 4 (2) ◽  
pp. 241-258
Author(s):  
Nicholas Metheny ◽  
Rob Stephenson
Keyword(s):  
Intimate Partner Violence ◽  
Health Survey ◽  
Partner Violence ◽  
Intimate Partner ◽  
Demographic And Health Survey ◽  
Previous Experience ◽  
Health Concern ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low And Middle Income

Intimate partner violence is a global public health concern that is widely under-reported. Socio-demographic factors of the interviewer may contribute to a reluctance to report violence. The introduction of the fieldworker survey to the 2015 Zimbabwe Demographic and Health Survey provides the first opportunity to test associations between interviewer characteristics and the reporting of intimate partner violence in the largest source of IPV data on intimate partner violence available for low- and middle-income countries. Three separate, multilevel logistic regression models were used to examine associations between the reporting of physical, sexual and emotional intimate partner violence and interviewer characteristics (age, sex and marital status, as well as differences in these indicators between interviewer and respondent), language of the interview and the interviewer’s previous experience conducting the Demographic and Health Survey. Previous experience as a Demographic and Health Survey interviewer was associated with significantly lower odds (OR: 0.67) of reporting physical intimate partner violence. Researchers should consider using the fieldworker data set in future studies to control for potential interviewer error, account for the clustering of data by interviewer and increase the robustness of Demographic and Health Survey analyses. Understanding how interviewers may shape the reporting of intimate partner violence is a step towards accurately measuring its burden in low- and middle-income countries.

scholarly journals Tuberculosis and Non-Communicable Disease Multimorbidity: An Analysis of the World Health Survey in 48 Low- and Middle-Income Countries

2021 ◽  
Vol 18 (5) ◽  
pp. 2439
Author(s):  
Brendon Stubbs ◽  
Kamran Siddiqi ◽  
Helen Elsey ◽  
Najma Siddiqi ◽  
Ruimin Ma ◽  
...  
Keyword(s):  
Health Survey ◽  
Low Income ◽  
World Health ◽  
Low Income Countries ◽  
Multivariable Logistic Regression Analysis ◽  
World Health Survey ◽  
Middle Income ◽  
Middle Income Countries ◽  
The World ◽  
Low And Middle Income

Tuberculosis (TB) is a leading cause of mortality in low- and middle-income countries (LMICs). TB multimorbidity [TB and ≥1 non-communicable diseases (NCDs)] is common, but studies are sparse. Cross-sectional, community-based data including adults from 21 low-income countries and 27 middle-income countries were utilized from the World Health Survey. Associations between 9 NCDs and TB were assessed with multivariable logistic regression analysis. Years lived with disability (YLDs) were calculated using disability weights provided by the 2017 Global Burden of Disease Study. Eight out of 9 NCDs (all except visual impairment) were associated with TB (odds ratio (OR) ranging from 1.38–4.0). Prevalence of self-reported TB increased linearly with increasing numbers of NCDs. Compared to those with no NCDs, those who had 1, 2, 3, 4, and ≥5 NCDs had 2.61 (95% confidence interval (CI) = 2.14–3.22), 4.71 (95%CI = 3.67–6.11), 6.96 (95%CI = 4.95–9.87), 10.59 (95%CI = 7.10–15.80), and 19.89 (95%CI = 11.13–35.52) times higher odds for TB. Among those with TB, the most prevalent combinations of NCDs were angina and depression, followed by angina and arthritis. For people with TB, the YLDs were three times higher than in people without multimorbidity or TB, and a third of the YLDs were attributable to NCDs. Urgent research to understand, prevent and manage NCDs in people with TB in LMICs is needed.

scholarly journals Evidence from 2016 Ethiopian demographic and health survey data: association between post health education maternal knowledge and neonatal danger signs

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mesfin Wudu Kassaw ◽  
Ayele Mamo Abebe ◽  
Biruk Beletew Abate ◽  
Seteamlak Adane Masresha ◽  
Ayelign Mengesha Kassie ◽  
...  
Keyword(s):  
Health Education ◽  
Survey Data ◽  
Health Survey ◽  
Rural Areas ◽  
Maternal Education ◽  
Female Child ◽  
Demographic And Health Survey ◽  
Maternal Knowledge ◽  
Danger Signs ◽  
Health Survey Data

Abstract Background Globally, 4 million infants die in their first 4weeks of life every year; above 8 million infants died before their first year of birthday, and nearly 10 million children died before their 5th birthday. Majority of the deaths were occurred at home because of not receiving health care. In Ethiopia, 120,000 infants died during their first 4 weeks of life. The aim of this study was to assess maternal knowledge about neonatal danger signs and its associations after they had been thought by health professionals in Ethiopia. Methods This study used the 2016 Ethiopian Demographic and Health Survey data (EDHS) as a data source. The 2016 EDHS data were collected using a two stage sampling method. All the regions were stratified into urban and rural areas. The study sample taken from the 2016 EDHS data and used in this further analysis was 325. A logistic regression model was used to assess the associations with post health education maternal knowledge on neonatal danger signs. Results In this study, mothers who had poor knowledge about neonatal danger signs (NDS) were 69.8 % (227) (95 %CI (64.8, 74.8 %). In the final logistic model, wanted no more child ((AOR = 4.15), (95 %CI = 1.12, 15.41)), female child ((AOR = 0.58), (95 %CI = 0.34, 0.98)), primary level maternal education ((AOR = 0.42), (95 %CI = 0.19, 0.92)), secondary level maternal education ((AOR = 0.37), (95 %CI = 0.16, 0.91)), and average size of child ((AOR = 2.64), (95 %CI = 1.26, 5.53)), and small size child ((AOR = 4.53), (95 %CI = 1.52, 13.51)) associated with post health education maternal knowledge about NDS. Conclusion The mothers’ knowledge about NDS is poor even they were gave a birth in health facilities. Wanting of additional child, child sex, maternal education and size of child were associated with NDS knowledge. This indicates that the mode of health education provided for mother might not be appropriate and needs protocol changes.

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