Household means of transportation and place of child delivery in Nigeria

2020 ◽  
Author(s):  
Lukman Bola Solanke ◽  
Omolayo Bukola Oluwatope ◽  
Yinusa Rasheed Adebayo ◽  
Olaoye James Oyeleye ◽  
Benjamin Bukky Ilesanmi ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Pregnant Women ◽  
Logistic Regression Model ◽  
Institutional Delivery ◽  
Multilevel Logistic Regression ◽  
Place Of Delivery ◽  
Pooled Data ◽  
Support Programme ◽  
Mode Of Transport ◽  
Multilevel Logistic Regression Model

Abstract Background The means of transportation available to pregnant women in households may serve either as a driver or deterrent of institutional delivery. However, how household means of transportation associates with place of delivery has been less explored in Nigeria. Methods This study was based on pooled data of 2008-2013 Nigeria Demographic and Health Survey. The study analysed a weighted sample size of 6,540 women. The multilevel logistic regression model was applied using STATA 14. Results The study revealed 37% institutional delivery among women in Nigeria. Women whose household mode of transport were cars were twice more likely to have institutional delivery compared to women who had no viable household means of transportation (AOR=2.044, p<0.01; CI=1.781-2.345). Women who live in communities with high proportions of households with no means of transportation were 12.8% less likely to have institutional delivery (AOR=0.872, p=0.01; CI: 0.788-0.967). Women who live in communities with high proportions of household who owned motorcycle compared to those in communities with low proportion were 31.9% more likely to have institutional delivery (AOR=1.319, p<0.05; CI: 1.071-1.625). Women who live in communities with high proportions of households who owned cars compared to those in communities with low proportion were more than three times more likely to have institutional delivery (AOR=3.146, p<0.01; CI: 2.621-3.777).Conclusion Means of transportation significantly explains choice of place of child delivery in urban Nigeria. A public-private transport support programme to reduce transportation burden among pregnant women is imperative in the country.

scholarly journals Individual and community-level determinants of poor tetanus toxoid immunization among pregnant women in Ethiopia using data from 2016 Ethiopian demographic and health survey; multilevel analysis

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Alemneh Mekuriaw Liyew ◽  
Hiwotie Getaneh Ayalew
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Tetanus Toxoid ◽  
Logistic Regression Model ◽  
Community Level ◽  
Multilevel Logistic Regression ◽  
Care Visit ◽  
Multilevel Logistic Regression Model ◽  
Tetanus Toxoid Immunization

Abstract Background Tetanus is a vaccine-preventable disease that can occur in all populations, with neonates and pregnant women being at the most risk. Ethiopia has the highest maternal and neonatal tetanus morbidity and mortality rates. Besides, only 49% of mothers get vaccinated with adequate tetanus toxoid in Ethiopia which is below the world health organization recommendation. To date, there is limited evidence on the individual and community level determinants of poor tetanus toxoid (TT) immunization. Therefore, this study aimed to assess individual and community-level factors associated with poor TT immunization coverage in Ethiopia. Method Secondary data analysis was conducted using the 2016 Ethiopian demographic and health survey. A total of 7043 pregnant women were included in the current study. A multilevel logistic regression model was used to identify individual and community level determinants of poor tetanus toxoid immunization. Finally, the adjusted odds ratio with a 95% confidence interval was reported. Results In the multilevel logistic regression model adjustment, having no Antenatal care visit (AOR = 5.64; 95% CI:2.48,7.30) and having one to three antenatal care visit (AOR = 1.50; 95% CI: 1.19–1.82); poor wealth index (AOR = 1.26; 95% CI: 1.03, 1.54); not being exposed to media (AOR = 1.29; 95% CI: 1.10, 1.51); maternal unemployment (AOR = 1.15; 95% CI: 1.10, 1.31); rural residence (AOR = 1.13; 95% CI: 1.08, 1.72); and high community illiteracy (AOR = 1.28; 95% CI: 1.03, 1.58) were associated with higher odds of poor tetanus toxoid immunization. Whereas, iron uptake during pregnancy (AOR = 0.59; 95% CI: 0.51, 0.68), was associated with lower odds of poor tetanus toxoid immunization. Conclusion In this study tetanus toxoid (TT) vaccine utilization was affected by both community and individual-level factors. Therefore, focusing on antenatal care services especially encouraging pregnant women to have at least four visits, consulting women to be exposed to media, improving community literacy and maternal employment will help to minimize TT underutilization.

scholarly journals A One Health perspective to identify environmental factors that affect Rift Valley fever transmission in Gezira state, Central Sudan

2019 ◽  
Vol 47 (1) ◽  
Author(s):  
Rania Salah Eldien Bashir ◽  
Osama Ahmed Hassan
Keyword(s):  
Remote Sensing ◽  
Logistic Regression ◽  
Environmental Factors ◽  
Soil Type ◽  
Rift Valley ◽  
Rift Valley Fever ◽  
Logistic Regression Model ◽  
Multilevel Logistic Regression ◽  
Valley Fever ◽  
Multilevel Logistic Regression Model

Abstract Background Rift Valley fever (RVF) is a zoonotic viral vector-borne disease that affects both animals and humans and leads to severe economic consequences. RVF outbreaks are triggered by a favorable environment and flooding, which enable mosquitoes to proliferate and spread the virus further. RVF is endemic to Africa and has spread to Saudi Arabia and Yemen. There is great concern that RVF may spread to previously unaffected geographic regions due to climate change. We aimed to better understand the spatiotemporal pattern of the 2007 RVF outbreak at the human–animal–environment interface and to determine environmental factors that may have effects on RVF occurrence in Gezira state, Sudan. Materials and methods We compiled epidemiological, environmental, and spatiotemporal data across time and space using remote sensing and a geographical information system (GIS). The epidemiological data included 430 RVF human cases as well as human and animal population demographic data for each locality. The cases were collected from 41 locations in Gezira state. The environmental data represent classified land cover during 2007, the year of the RVF outbreak, and the average of the Normalized Difference Vegetation Index (NDVI) for 6 months of 2007 is compared with those of 2010 and 2014, when there was no RVF outbreak. To determine the effect of the environmental factors such as NDVI, soil type, and RVF case’s location on the Blue Nile riverbank on RVF incidence in Gezira state, a multilevel logistic regression model was carried out. Results We found that the outbreak in Gezira state occurred as a result of interaction among animals, humans, and the environment. The multilevel logistic regression model (F = 43,858, df = 3, p = 0.000) explained 23% of the variance in RVF incidence due to the explanatory variables. Notably, soil type (β = 0.613, t = 11.284, p = 0.000) and NDVI (β = − 0.165, t = − 3.254, p = 0.001) were the explanatory environmental factors that had significant effects on RVF incidence in 2007 in Gezira state, Sudan. Conclusions Precise remote sensing and the GIS technique, which rely on environmental indices such as NDVI and soil type that are satellite-derived, can contribute to establishing an early warning system for RVF in Sudan. Future preparedness and strengthening the capacity of regional laboratories are necessary for early notification of outbreaks in animals and humans.

scholarly journals Determinants of Contraceptive Practice in Oman by Using Multilevel Modeling

2015 ◽  
Vol 20 (1) ◽  
pp. 83 ◽  
Author(s):  
Moza S. Al-Balushi ◽  
Mohammed S. Ahmed ◽  
M. Mazharul Islam
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Regional Variation ◽  
Regression Models ◽  
Logistic Regression Model ◽  
Contraceptive Use ◽  
Multilevel Logistic Regression ◽  
Logistic Regression Models ◽  
Living Children ◽  
Multilevel Logistic Regression Model

In this paper, multilevel logistic regression models are developed for examining the hierarchical effects of contraceptive use and its selected determinants in Oman using the 2008 Oman National Reproductive Health Survey (ONRHS). Comparison between single level and multilevel logistic regression models has been made to examine the plausibility of multilevel effects of contraceptive use. From the multilevel logistic regression model analysis, it was found that there is real multilevel variation among contraceptive users in Oman. The results indicate that a multilevel logistic regression model is the best fit over ordinary multiple logistic regression models. Generally, this study revealed that women’s age, education, number of living children and region of residence are important factors that affect contraceptive use in Oman. The effect of regional variation for age of women, education of women and number of living children further implies that there exists considerable differences in modern contraceptive use among regions, and a model with a random coefficient or slope is more appropriate to explain the regional variation than a model with fixed coefficients or without random effects. The study suggests that researchers should use multilevel models rather than traditional regression methods when their data structure is hierarchal.  

scholarly journals Labour room violence in Uttar Pradesh, India: evidence from longitudinal study of pregnancy and childbirth

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e028688 ◽  
Author(s):  
Srinivas Goli ◽  
Dibyasree Ganguly ◽  
Swastika Chakravorty ◽  
Mohammad Zahid Siddiqui ◽  
Harchand Ram ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Pregnant Women ◽  
Rural Areas ◽  
Logistic Regression Model ◽  
Uttar Pradesh ◽  
First Trimester ◽  
General Category ◽  
Obstetric Violence ◽  
Labour Room

ObjectivesThe major objective of this study was to investigate the prevalence of labour room violence (LRV) (one of the forms of obstetric violence) faced by the women during the time of delivery in Uttar Pradesh (UP) (the largest populous state of India which is also considered to be a microcosm of India). Furthermore, this study also analyses the association between prevalence of obstetric violence and socioeconomic characteristics of the respondents.DesignThe study was longitudinal in design with the first visit to women made at the time of first trimester. The second visit was made at the time of second trimester and the last visit was made after the delivery. However, we have continuously tracked women over phone to keep record of developments and adverse consequences.SettingsUrban and rural areas of UP, India.ParticipantsSample of 504 pregnant women was systematically selected from the Integrated Child Development Scheme Register of pregnant women.OutcomeWe aimed to assess the levels and determinants of LRV using data collected from 504 pregnant women in a longitudinal survey conducted in UP, India. The dataset comprised three waves of survey from the inception of pregnancy to childbirth and postnatal care. Logistic regression model has been used to assess the association between prevalence of LRV faced by the women at the time of delivery and their background characteristics.ResultAbout 15.12% of women are facing LRV in UP, India. Results from logistic regression model (OR) show that LRV is higher among Muslim women (OR 1.8, 95% CI 0.7 to 4.3) relative to Hindu women (OR 1). The prevalence of LRV is higher among lower castes relative to general category, and is higher among those women who have no mass media exposure (OR 4.7, 95% CI 1.7 to 12.8) compared with those who have (OR 1).ConclusionIn comparison with global evidence, the level of LRV in India is high. Women from socially disadvantaged communities are facing higher LRV than their counterparts.

scholarly journals Individual and community level factors associated with anemia among children 6—59 months of age in Ethiopia: A further analysis of 2016 Ethiopia demographic and health survey

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241720
Author(s):  
Menaseb Gebrehaweria Gebremeskel ◽  
Afework Mulugeta ◽  
Abate Bekele ◽  
Lire Lemma ◽  
Muzey Gebremichael ◽  
...  
Keyword(s):  
Health Survey ◽  
Logistic Regression Model ◽  
Demographic And Health Survey ◽  
Community Level ◽  
Multilevel Logistic Regression ◽  
Factors Associated ◽  
Dire Dawa ◽  
Poverty Status ◽  
The Individual ◽  
Multilevel Logistic Regression Model

Background Anemia is a global public health problem; but its burden is disproportionately borne among children in the African Regions. The 2016 Ethiopia Demographic and Health Survey report showed that the prevalence of anemia among children 6–59 months of age was 57%; far exceeding the national target of 25% set for 2015. Although studies have been conducted in Ethiopia, multilevel analysis has rarely been used to identify factors associated with anemia among children. Therefore, this study aimed to identify individual and community-level factors associated with anemia among children 6–59 months of age by fitting a multilevel logistic regression model. Methods The data was obtained from the 2016 Ethiopia Demographic and Health Survey, conducted from January to June 2016, and downloaded from the website http://www.DHSprogram.com. The sample was taken using two-stage stratified sampling. In stage one, 645 Enumeration Areas and in stage two 28 households per Enumeration Area were selected. A sample of 7790 children 6–59 months of age was included. Data were analyzed using STATA version 14. A multilevel logistic regression model was fitted and an adjusted odds ratio with a 95% confidence interval was obtained. Result From the individual-level factors, anemia was associated most strongly with child age, wealth index, maternal anemia and child stunting followed by child underweight, child fever and birth order whereas from the community-level, the strongest odds of anemia occurred among children from Somali, Harari, Dire Dawa and Afar region followed by Oromia and Addis Ababa. Low community-poverty is a protective factor for anemia. The odds of anemia were 0.81 (95% CI: 0.66, 0.99) times lower for children who were living in communities of lower poverty status than children who were living in communities of higher poverty status. Children from Somali and Dire Dawa had 3.38 (95% CI: 3.25, 5.07) and 2.22 (95% CI: 1.42, 3.48) times higher odds of anemia, respectively than children from the Tigray region. Conclusions This study shows that anemia among children 6–59 months of age is affected both by the individual and community level factors. It is better to strengthen the strategies of early detection and management of stunted and underweight children. At the same time, interventions should be strengthened to address maternal anemia, child fever and poverty, specifically targeting regions identified to have a high risk of anemia.

scholarly journals Association of maternal obesity with fetal and neonatal death: Evidence from South and South-East Asian countries

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256725
Author(s):  
Rezwanul Haque ◽  
Syed Afroz Keramat ◽  
Syed Mahbubur Rahman ◽  
Maimun Ur Rashid Mustafa ◽  
Khorshed Alam
Keyword(s):  
Logistic Regression ◽  
Risk Factor ◽  
Regression Model ◽  
Neonatal Death ◽  
Logistic Regression Model ◽  
Maternal Obesity ◽  
East Asian ◽  
Multilevel Logistic Regression ◽  
Asian Countries ◽  
Neonatal Deaths

Background Obesity prevalence is increasing in many countries in the world, including Asia. Maternal obesity is highly associated with fetal and neonatal deaths. This study investigated whether maternal obesity is a risk factor of fetal death (measured in terms of miscarriage and stillbirth) and neonatal mortality in South and South-East Asian countries. Methods This cross-sectional study pooled the most recent Demographic and Health Surveys (DHS) from eight South and South-East Asian countries (2014–2018). Multivariate logistic regression was deployed to check the relationships between maternal obesity with fetal and neonatal deaths. Finally, multilevel logistic regression model was employed since the DHS data has a hierarchical structure. Results The pooled logistic regression model illustrated that maternal obesity is associated with higher odds of miscarriage (adjusted odds ratio [aOR]: 1.26, 95% CI: 1.20–1.33) and stillbirths (aOR: 1.46, 95% CI: 1.27–1.67) after adjustment of confounders. Children of obese mothers were at 1.18 (aOR: 1.18, 95% CI: 1.08–1.28) times greater risk of dying during the early neonatal period than mothers with a healthy weight. However, whether maternal obesity is statistically a significant risk factor for the offspring’s late neonatal deaths was not confirmed. The significant association between maternal obesity with miscarriage, stillbirth and early neonatal mortality was further confirmed by multilevel logistic regression results. Conclusion Maternal obesity in South and South-East Asian countries is associated with a greater risk of fetal and early neonatal deaths. This finding has substantial public health implications. Strategies to prevent and reduce obesity should be developed before planning pregnancy to reduce the fetal and neonatal death burden. Obese women need to deliver at the institutional facility centre that can offer obstetrics and early neonatal care.

scholarly journals Intention to use institutional delivery service and its predictors among pregnant women, North West Ethiopia: Using theory of planned behavior

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0248697
Author(s):  
Abirham Ayana ◽  
Ayenew Kassie ◽  
Telake Azale
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Institutional Delivery ◽  
Behavioral Control ◽  
Perceived Behavioral Control ◽  
Intention To Use ◽  
Rural Residence ◽  
Delivery Service ◽  
Institutional Delivery Service

Background Improving institutional delivery service is the most crucial strategies to reduce maternal and neonatal mortalities. In developing countries, only 50% of pregnant women deliver in health facilities and in Ethiopia only 48% of pregnant women deliver in health facilities. Maternal mortality remains the highest in Ethiopia. This study assessed intention to use institutional delivery service and its predictors among pregnant women using theory of planned behavior. Methods Community-based cross-sectional study was conducted among 645 Yilmana Densa District Pregnant women using multi-stage followed by cluster sampling technique. Data were entered into Epi Data version 4.6.0.2 and analyzed with STATA version 14. Binary logistic regression analysis was done to identify independent predictors of intention at 95% confidence level and P < 0.05 was used to determine statistically significant predictors. Results Intention of pregnant women to use institutional delivery service was 74.3% (CI; 70.71%, 77.6%). In the multivariable logistic regression; those who had 1–3 and 4 &above antenatal care 2.85(1.41, 5.75) and 3.14(1.16, 8.45) respectively, those who had past experience of institutional delivery (AOR = 3.39, 95%CI: 1.72, 6.71), parity of 1–3 and 4 & above % (AOR = 0.37, 0.19, 0.71) and (AOR = 0.25, 95%CI: 0.12, 0.55) respectively, rural residence (AOR = 0.51, 95%CI: 0.27, 0.96), favorable attitude (AOR = 2.93, 95%CI: 1.56, 5.50), favorable perceived behavioral control (AOR = 2.60, 95%CI: 1.44, 4.69) were factors significantly associated with intention to use institutional delivery service. Conclusion and recommendation Majority of the pregnant women were intended to deliver in the institution. Good Knowledge on institutional delivery, antenatal care visit, past experience of institutional delivery, rural residence, parity, attitude and perceived behavioral control were identified factors significantly associated with intention to use institutional delivery service. So, strengthening awareness creation and behavioral change communication programs are required at all levels of health system to raise intention of residents towards institutional delivery.

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