scholarly journals Spatiotemporal distribution and determinants of delayed first antenatal care visit among reproductive age women in Ethiopia: a spatial and multilevel analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Daniel Gashaneh Belay ◽  
Fantu Mamo Aragaw ◽  
Denekew Tenaw Anley ◽  
Yibeltal Shitu Tegegne ◽  
Kassahun Alemu Gelaye ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Intervention Program ◽  
Adverse Pregnancy Outcome ◽  
Unwanted Pregnancy ◽  
Binary Logistic Regression ◽  
Reproductive Age ◽  
Safe Motherhood ◽  
Binary Logistic Regression Analysis ◽  
Binary Logistic Regression Model

Abstract Background Antenatal care (ANC) is one of the four pillars of the initiative for safe motherhood. ANC helps to improve the health of pregnant women and reduce the risk of adverse pregnancy outcome. First ANC is used to know the health status of the mothers and the fetus, to estimate the gestational age and expected date of delivery. Our research aims to investigate the Spatio-temporal distribution of delayed first ANC visit and its predictors using multilevel binary logistic regression analysis. Method A total of 10,184 women (2061 in 2005, 3366 in 2011, and 4757 in 2016) were included for this study. The data were cleaned and weighted using STATA version 14. A multilevel binary logistic regression model was fitted to identify significant predictors of delayed first ANC visit. ArcGIS software was used to explore the spatial distribution of delayed first ANC visits and a Bernoulli model was fitted using SaTScan software to identify significant clusters of delayed first ANC visits. Results Overall, 77.69, 73.95, and 67.61% of women had delayed their first ANC visit in 2005, 2011, and 2016 EDHSs respectively. Women education [AOR = 0.71; 95%CI; 0.60, 0.84], unwanted pregnancy [AOR = 1.41;95%CI; 1.04, 1.89], and rural residence [AOR = 1.68;95%CI; 1.19, 2.38] have significantly associated with delayed first ANC visit. The spatial analysis revealed that delayed first ANC visit varies in each EDHS period. The SaTScan analysis result of EDHS 2005 data identified 122 primary clusters located between the border of Oromia and Eastern SNNPR regions (RR = 1.30, LLR = 32.31, P-value< 0.001), whereas in 2011 EDHS, 145 primary clusters were identified in entire Tigray, B/Gumuz, Amhara western part of Afar and northwest Oromia regions (RR = 1.30, LLR = 40.79, P-value< 0.001). Besides in 2016 EDHS,198 primary clusters were located in the entire SNNPR, Gambella, Northen B/Gumuz, and western Oromia regions. (RR = 1.35, LLR = 83.21, P-value< 0.001). Conclusion In Ethiopia delayed first ANC visit was significantly varied across the country over time Women’s education, wanted the last child, and residence were significantly associated with delayed first ANC booking. The effect of each predictor was found to be different across regions of Ethiopia. Therefore, a targeted intervention program is required in highly affected areas of Ethiopia.

scholarly journals Does Antenatal Care Translate into Skilled Birth Attendance? Analysis of 2014 Ghana Demographic and Health Survey

2019 ◽  
Vol 2019 ◽  
pp. 1-7 ◽  
Author(s):  
Linus Baatiema ◽  
Edward Kwabena Ameyaw ◽  
Aliu Moomin ◽  
Mukaila Mumuni Zankawah ◽  
Doris Koramah
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Health Survey ◽  
Tertiary Education ◽  
Binary Logistic Regression ◽  
Skilled Birth Attendance ◽  
Demographic And Health Survey ◽  
Rural Setting ◽  
Binary Logistic Regression Analysis ◽  
Birth Attendance

Background. Despite the high antenatal care attendance rate in Ghana, skilled birth attendance is relatively low. There is limited evidence on whether antenatal care attendance translates into skilled birth attendance in the Ghanaian research discourse. This study investigates whether antenatal care attendance translates into skilled birth. Methods. We extracted data from the 2014 Ghana Demographic and Health Survey. Data were analysed using descriptive and binary logistic regression analyses at 5% confidence interval. Results. The descriptive findings indicated a vast variation between antenatal care attendance and skilled birth attendance. Skilled birth attendance was consistently low across almost all sociodemographic characteristics as compared to antenatal care attendance. The binary logistic regression analysis however indicated higher inclination toward skilled birth attendance among women who had at least four antenatal care visits [OR=5.87, CI=4.86-7.08]. The category of women noted to have higher tendencies of skilled birth attendance was those with higher/tertiary education [OR=9.13, CI=2.19-37.93], the rich [OR=4.27, CI=3.02-6.06], urban residents [OR=2.35, CI=1.88-2.93], women with maximum of four children [OR=1.36, CI=1.08-1.72], and those using modern contraceptives [OR=1.24, CI=1.03-1.50]. Conclusion. We recommend that interventions to enhance skilled birth attendance must target women who do not achieve at least four antenatal visits, those with low wealth standing, those not using contraceptives, and women without formal education. Again, an in-depth qualitative study is envisaged to deepen the understanding of these dynamics in the rural setting.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI STATUS PENERIMAAN BERAS KELUARGA MISKIN MENGGUNAKAN REGRESI LOGISTIK BINER DI KECAMATAN LANGSA BARAT

2020 ◽  
Vol 14 (2) ◽  
pp. 181-192
Author(s):  
Amelia Amelia ◽  
Fitra Mulyani ◽  
Ulya Nabilla
Keyword(s):  
Logistic Regression ◽  
Economic Status ◽  
Secondary Data ◽  
Binary Logistic Regression ◽  
Primary Data ◽  
Binary Logistic Regression Analysis ◽  
Binary Logistic Regression Model ◽  
The Status ◽  
Rice Consumption ◽  
The Government

Poverty is an inability to meet basic needs measured by expenditure, including rice consumption. Based on data from the Central Statistics Agency (BPS), as much as 95% of Indonesia's population consumes rice as the main food, with an average rice consumption of 102 kg/person/ year (BPS, 2013). Furthermore, BPS stated that almost 1/4 of them or around 25.95 million people were included in the category of the poor population as of March 2018. So the government made a policy to tackle the problem through the program of giving poor family rice (Raskin), namely subsidized rice assistance to households poor. However, in the implementation of the Raskin program, there was a deviation of around 40% of Indonesia's population with a middle-upper social-economic status receiving Raskin and 12.5% ​​of the population with a socio-economic status upon receiving Raskin. Therefore this study aims to analyze the significant factors that affect the status of rice in poor families using binary logistic regression analysis. The location of the study was conducted in the District of West Langsa because the district was one of the districts receiving the most Raskin in the City of Langsa. The data used in this study are primary data and secondary data. The results of the analysis show that the factors that influence Raskin's acceptance status are the level of education, type of floor, type of fuel, expenditure for food, and frequency of purchasing new clothes. The binary logistic regression model obtained is

scholarly journals Determinan Keputusan Melakukan Migrasi Ulang-Alik

2018 ◽  
Vol 1 (3) ◽  
pp. 242-251
Author(s):  
Rifqi Nur Fahmy
Keyword(s):  
Logistic Regression ◽  
Marital Status ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Analysis Method ◽  
Binary Logistic Regression Model ◽  
Level Of Education ◽  
Independent Variables ◽  
Variable Level

The aim of this research is to analyze the influence of dependent variable of family dependent, education level, age, marital status, and distance partially to workforce’s decision to migrate from Surakarta to Karanganyar Regency. This research used binary logistic regression analysis method. The sample in this research is 100 respondents. The result of binary logistic regression model analysis in this research shows that from five independent variables, there are two variables that have significant effect on workforce’s decision to do the commuter migration that is dependent variable of family and marital status. While the variable level of education, age, and distance have no effect on workforce’s decisions to do the commuter migration. Tujuan dari penelitian ini adalah untuk menganalisis pengaruh variabel dependen dependen keluarga, tingkat pendidikan, usia, status perkawinan, dan jarak secara parsial terhadap keputusan tenaga kerja untuk bermigrasi dari Surakarta ke Kabupaten Karanganyar. Penelitian ini menggunakan metode analisis regresi logistik biner. Sampel dalam penelitian ini adalah 100 responden. Hasil analisis model regresi logistik biner dalam penelitian ini menunjukkan bahwa dari lima variabel independen, ada dua variabel yang berpengaruh signifikan terhadap keputusan angkatan kerja untuk melakukan migrasi komuter yang merupakan variabel dependen keluarga dan status perkawinan. Sedangkan tingkat variabel pendidikan, usia, dan jarak tidak berpengaruh pada keputusan tenaga kerja untuk melakukan migrasi komuter.  

scholarly journals Binary Logistic Regression Analysis on Predicting Academics Performance

2021 ◽  
pp. 1-6
Author(s):  
E. K. Akinyem ◽  
O. A. Ogunleye ◽  
H.O Olaoye ◽  
J. Brakoru
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Educational Level ◽  
Logistic Regression Model ◽  
Social Scientist ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Analysis ◽  
Binary Logistic Regression Model ◽  
Future Performance ◽  
Lemeshow Test

This paper considers the application of logistic regression model to predict academics performance of students. The choice of this model becomes imperative as a result of dichotomous relationship existing in the model (either pass or fail). 100 students from the four department where engaged in the study. Statistical package for social scientist (SPSS) was used for the analysis. The results show that monthly allowance of students, and study time of the students were significant predictors. While gender and educational level of parent were insignificant predictors. The fitness of the model was assessed using Hosmer and Lemeshow test, split-sample approach and other supplementary indices to validate the model. The fitted model indicated that fitted binary logistic regression model could be used to predict the future performance of students.

scholarly journals Prevalence and factors affecting the utilization of antenatal care in rural areas of Southwestern Ethiopia

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Assaye Belay ◽  
Tessema Astatkie ◽  
Solomon Abebaw ◽  
Bekele Gebreamanule ◽  
Wegayehu Enbeyle
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Regression Model ◽  
Rural Area ◽  
Rural Areas ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Southwestern Ethiopia

Abstract Background Antenatal care (ANC) is a health care intervention intended to ensure the safety of pregnancy. According to the World Health Organization, at least four ANC visits are recommended for a healthy pregnancy. However, whether this recommended number of visits was followed or not in the rural areas of Southwestern Ethiopia is not known. Therefore, the study aimed to investigate the prevalence of, and the associated factors of ANC utilization by pregnant women in the rural areas of Southwestern Ethiopia. Methods A community-based cross-sectional study design was used in three rural zones. The data were collected from n = 978 women through a structured questionnaire with face-to-face interview. The collected data were analyzed using descriptive statistics and a multiple binary logistic regression model. Results The results showed that 56% of women made the recommended minimum number of ANC visits and the remaining 44% of them underutilized the ANC service. The multiple binary logistic regression model identified zone, marital status of the woman, educational level of the husband, occupation of the husband, knowledge of danger signs of pregnancy, birth interval, source of information, timely visits, and transportation problem to be statistically significant factors affecting the prevalence of ANC visit utilization of women. Bench Maji zone had smaller odds ratio of ANC visit prevalence as compared to Kaffa zone. Women who lived in the rural area of Sheko zone are 2.67 times less likely to utilize ANC visit than those who lived in the rural area of Kaffa zone keeping other variables constant. Conclusion The study results highlight the need to increase the number of ANC visits, and the importance of using an appropriate model to determine the important socio-demographic factors that ANC service providers shall focus on to improve the health of the unborn baby and the mother during pregnancy.

scholarly journals Effects of Different Socio-economic Characteristics of Rural Households on Their Saving Decision in Pabna District of Bangladesh: A Binary Logistic Regression Analysis

2020 ◽  
pp. 14-20
Author(s):  
Md. Al-Amin
Keyword(s):  
Logistic Regression ◽  
Random Sampling ◽  
Rural Households ◽  
Binary Logistic Regression ◽  
Sampling Technique ◽  
Binary Logistic Regression Analysis ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Household Saving ◽  
Private Savings

Household saving ensures a smooth future by softening the potential insecurities arise from uncertainty at the cost of present consumption. Moreover, the volume of national investment determines the actual health of an economy which is intensively associated with national savings. This study aimed at determining the effects of different socio-economic characteristics of rural households on their saving decision in Pabna district of Bangladesh. This research used a set of cross-sectional data from 250 households from three upazilas in Pabna district namely Pabna Sadar, Iswardi and Sujanagar on the relevant variables for the empirical analysis. A multistage random sampling technique involving simple, purposive and stratified random sampling was used to draw the sample. The study employed a binary logistic regression model to assess the influences of different socio-economic and demographic characteristics of rural household on their saving decision. The findings of the current study asserted that gender, family size and dependency ratio of household have significant and negative effects on their decision to start saving or not to start saving. Contrarily, the effects of the variables age, education level, marital status, income, secondary earner and liabilities on the decision of households to participate in saving were positive and significant. Moreover, the results revealed that social status has a strong but insignificant effect, but the variables access to bank and credit facilities have almost no significant effect on the household saving decisions. Since, private savings is essential for both the micro and macro level of an economy, therefore the study tried to suggest some recommendations with a view to increase private savings.

scholarly journals Prevalence and risk factors of dry eye disease in young and middle-aged office employee: a Xi’an Study

2021 ◽  
Vol 14 (4) ◽  
pp. 567-573
Author(s):  
Jing-Wen Hu ◽  
◽  
Shi-Yin Pan ◽  
Hua Yang ◽  
Xiang-Hua Xiao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Dry Eye ◽  
Binary Logistic Regression ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Binary Logistic Regression Analysis ◽  
Middle Aged ◽  
Binary Logistic Regression Model ◽  
Ocular Surface Disease Index

AIM: To estimate the prevalence of and risk factors for dry eye disease (DED) in young and middle-aged office employee in Xi'an. METHODS: This cross-sectional study of the prevalence of and risk factors for DED investigated 486 young and middle-aged Chinese office employee in Xi'an. DED symptoms and potential risk factors were assessed using the ocular surface disease index combined with a risk factors questionnaire, and tear function was evaluated using the tear film break-up time and Schirmer's test. Possible risk factors for DED were estimated by binary Logistic regression analysis. RESULTS: DED was diagnosed in 100 females and 96 males, giving a prevalence of 40.3% [95% confidence interval (CI)=36.0%-44.7%]. The multivariate binary Logistic regression model indicated that the possible risk factors for DED were being female (OR=1.592, 95%CI=1.034-2.451, P=0.035), being aged ≥40y (OR=1.593, 95%CI=1.034-2.454, P=0.035), using a VDT daily for &#x0026;#x003E;6h (OR=1.990, 95%CI=1.334-2.971, P=0.001), the presence of central air conditioning (OR=1.548, 95%CI=1.053-2.276, P=0.026), and self-reported dryness of the mouth and nose (OR=1.589, 95%CI=1.071-2.357, P=0.021). CONCLUSION: There is a high prevalence of clinically diagnosed DED in young and middle-aged video display terminal (VDT) users. Interventions against the modifiable risk factors should be taken to prevent the occurrence and development of DED in this population.

scholarly journals Do women empowerment indicators predict receipt of quality antenatal care in Cameroon? Evidence from a nationwide survey

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Edward Kwabena Ameyaw ◽  
Kwamena Sekyi Dickson ◽  
Kenneth Setorwu Adde ◽  
Obidimma Ezezika
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Maternal Mortality Ratio ◽  
Binary Logistic Regression ◽  
Reproductive Age ◽  
Wife Beating ◽  
World Health ◽  
Women Empowerment ◽  
Knowledge Level ◽  
Maternal Healthcare

Abstract Background World Health Organisation (WHO) recommends quality antenatal care (ANC) for all pregnant women, as one of the strategies for achieving targets 3.1 and 3.2 of the sustainable development goals. Maternal mortality ratio remains high in Cameroon (782 maternal deaths per 100,000 live births). Extant literature suggest a positive association between women empowerment indicators and maternal healthcare utilisation in general. In Cameroon, this association has not received scholarly attention. To fill this knowledge gap, we investigated the association between women empowerment indicators and quality ANC in Cameroon. Methods Data of 4615 women of reproductive age were analysed from the women’s file of the 2018 Cameroon Demographic and Health Survey. Quality ANC (measured by six indicators) was the outcome of interest. Binary Logistic Regression was conducted. All results of the Binary Logistic Regression analysis were presented as adjusted odds ratios (aORs) with 95% confidence intervals (CIs). All analyses were done using Stata version 14. Results In all, 13.5% of the respondents received quality ANC. Women with low knowledge level (aOR = 0.66, CI 0.45, 0.98) had a lesser likelihood of receiving quality ANC compared to those with medium knowledge level. Women who highly approved wife beating (aOR = 0.54, CI 0.35, 0.83) had lesser odds of receiving quality ANC compared to those with low approval of wife beating. Conclusion The study has pointed to the need for multifaceted approaches aimed at enhancing the knowledge base of women. The Ministry of Public Health should collaborate and intensify female’s reproductive health education. The study suggests that women advocacy and maternal healthcare interventions in Cameroon must strive to identify women who approve of wife beating and motivate them to disapprove all forms of violence.

Intimate Partner Violence and its Association With Contraceptive Use Among Women in Pakistan

2019 ◽  
Vol 34 (Spring 2019) ◽  
pp. 157-173
Author(s):  
Kashif Siddique ◽  
Rubeena Zakar ◽  
Ra’ana Malik ◽  
Naveeda Farhat ◽  
Farah Deeba
Keyword(s):  
Intimate Partner Violence ◽  
Logistic Regression ◽  
Partner Violence ◽  
Contraceptive Use ◽  
Binary Logistic Regression ◽  
Intimate Partner ◽  
Married Women ◽  
Reproductive Age ◽  
Outcome Variable ◽  
Odds Ratios

The aim of this study is to find the association between Intimate Partner Violence (IPV) and contraceptive use among married women in Pakistan. The analysis was conducted by using cross sectional secondary data from every married women of reproductive age 15-49 years who responded to domestic violence module (N = 3687) of the 2012-13 Pakistan Demographic and Health Survey. The association between contraceptive use (outcome variable) and IPV was measured by calculating unadjusted odds ratios and adjusted odds ratios with 95% confidence intervals using simple binary logistic regression and multivariable binary logistic regression. The result showed that out of 3687 women, majority of women 2126 (57.7%) were using contraceptive in their marital relationship. Among total, 1154 (31.3%) women experienced emotional IPV, 1045 (28.3%) women experienced physical IPV and 1402 (38%) women experienced both physical and emotional IPV together respectively. All types of IPV was significantly associated with contraceptive use and women who reported emotional IPV (AOR 1.44; 95% CI 1.23, 1.67), physical IPV (AOR 1.41; 95% CI 1.20, 1.65) and both emotional and physical IPV together (AOR 1.49; 95% CI 1.24, 1.72) were more likely to use contraceptives respectively. The study revealed that women who were living in violent relationship were more likely to use contraceptive in Pakistan. Still there is a need for women reproductive health services and government should take initiatives to promote family planning services, awareness and access to contraceptive method options for women to reduce unintended or mistimed pregnancies that occurred in violent relationships.

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