scholarly journals Factors Influencing in Early Childbearing and Its Consequences on Nutritional Status of Bangladeshi Mothers: Nationally Representative Data

2020 ◽  
Author(s):  
Khirujjaman Sumon ◽  
Md. Abu Sayem ◽  
Abu Sayed Md Al Ma ◽  
Premananda Bharati ◽  
Suman Chakrabarty ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Binary Logistic Regression ◽  
Household Wealth ◽  
Medical Problem ◽  
Early Marriage ◽  
Binary Logistic Regression Model ◽  
Early Childbearing ◽  
Chi Square ◽  
Modifiable Factors ◽  
Nationally Representative

Abstract Background: Early marriage and early pregnancy is a social as well as medical problem in developing countries, which may have an impact on health and nutritional status of teenage mothers. Therefore, the objective of this study was to determine the influencing factors of early childbearing (ECB) and its consequences on nutritional status of Bangladeshi mothers. Methods: Data was extracted from the last survey of Bangladesh Demographic and Health Survey (BDHS-2014). Women who delivered their first baby before their age 20 years are considered as ECB mothers. Nutritional status was measured by body mass index (BMI) which was categorized as (i) under nutrition (BMI<18.5 kg/m2), (ii) normal (18.5≤BMI<25 kg/m2) and (iii) over nutrition BMI≥25 kg/m2). Chi-square test and both univariable and multivariable logistic regressions, and z-proportional test were used in this study. Results: This study revealed that the prevalence of ECB among currently non-pregnant mothers in Bangladesh was 83% (urban: 77% and rural: 85.8%). A multivariable binary logistic regression model provided the following six risk factors of ECB: (i) living location (division), (ii) respondents’ education, (iii) husbands’ education, (iv) household wealth quintiles, (v) respondents’ age at first marriage, and (vi) number of family members. Still 17.6% mothers were undernourished in Bangladesh; among them 18.5% and 13.4% were ECB and non- ECB mothers respectively, while 25.5% mothers were over nourished. Univariable model demonstrated that ECB mothers had a greater risk to be undernourished than non-ECB mothers [COR=1.26, 95% CI: 1.11-1.43; p<0.01]. Conclusions: In this study, some modifiable factors were found as predictors of ECB in Bangladesh. ECB mothers were more prone to become under-nourished. These findings can be considered to reduce the number of ECB mothers in Bangladesh consequently to improve their nutritional status.

scholarly journals Two Level Logistic Regression Model of Factors Influencing in Early Childbearing and its Consequences on Nutritional Status of Bangladeshi Mothers: Nationally Representative Data

2021 ◽  
Vol 10 ◽  
pp. 97-106
Author(s):  
Khirujjaman Sumon ◽  
Md. Abu Sayem ◽  
Abu Sayed Md. Al Mamun ◽  
Premananda Bharati ◽  
Suman Chakrabarty ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Nutritional Status ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Household Wealth ◽  
Medical Problem ◽  
Early Marriage ◽  
Early Childbearing ◽  
Modifiable Factors ◽  
Study Results

Background: Early marriage and early pregnancy is a social as well as a medical problem in developing countries, which may have an impact on the health and nutritional status of teenage mothers. Therefore, the objective of this study was to determine the influencing factors of early childbearing (ECB) and its consequences on the nutritional status of Bangladeshi mothers. Methods: Data was extracted from Bangladesh Demographic and Health Survey (BDHS-2014). Women who delivered their first baby before the age of 20 years are considered ECB mothers. Nutritional status was measured by body mass index (BMI). Chi-square test and both univariable and multivariable logistic regressions, and z-proportional test were used in this study. Results: The prevalence of ECB among currently non-pregnant mothers in Bangladesh was 83%. The logistic regression model provided the following six risk factors of ECB: (i) living location (division) (p<0.01), (ii) respondents’ education (p<0.05), (iii) husbands’ education (p<0.05), (iv) household wealth quintiles (p<0.01), (v) respondents’ age at first marriage (p<0.05), and (vi) number of family members (p<0.05). Still, 17.6% of mothers were undernourished in Bangladesh; among them, 18.5% and 13.4% were ECB and non- ECB mothers respectively. ECB mothers had a greater risk to be undernourished than non-ECB mothers [COR=1.26, 95% CI: 1.11-1.43; p<0.01]. Conclusions: In this study, some modifiable factors were found as predictors of ECB in Bangladesh. ECB mothers were more prone to become under-nourished. These findings can be considered to reduce the number of ECB mothers in Bangladesh consequently improve their nutritional status.

scholarly journals Socio-Economic Correlates of Children's Nutritional Status: Evidence from Pakistan Demographic and Health Survey 2017-18

2020 ◽  
Vol V (I) ◽  
pp. 221-233
Author(s):  
Muhammad Shahid ◽  
Inam Ullah Leghari ◽  
Farooq Ahmed
Keyword(s):  
Logistic Regression ◽  
Nutritional Status ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Composite Index ◽  
Binary Logistic Regression ◽  
Household Wealth ◽  
Nutrition Status ◽  
Binary Logistic Regression Model ◽  
Important Indicator

Nutrition status is an important indicator of child health. This study estimates the effect of socioeconomic determinants on children's nutritional status of under five years of age. We apply the Composite Index of Anthropometric Failure (CIAF) in our empirical analysis as a proxy measure to denote the malnutrition measurement index, and a binary logistic regression model using PDHS dataset for 2017-18. The logistic regression model inspects the probability of malnutrition among children. The result demonstrates that the age of children, education and employment status of mothers, BMI of mothers, assets owned by mothers, tetanus vaccination of mothers, the incidence of diarrhea in children, and household wealth has a significant impact on malnutrition in children. The study concludes that socioeconomic deprivations and inequalities in society play a significant role in determining the health and nutrition of pre-school children.

Prevalence of facemask use among general public when visiting wet market during Covid-19 pandemic: An observational study. (Preprint)

2020 ◽  
Author(s):  
Gobi Hariyanayagam ◽  
Sera Selvanthan Sundram Gunasekaran ◽  
Shargunan Selvanthan Gunasekaran ◽  
Nur Syafina Insyirah Zaimi ◽  
Nor Amirah Abdul Halim
Keyword(s):  
High Risk ◽  
General Population ◽  
Binary Logistic Regression ◽  
Final Analysis ◽  
High Risk Population ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Hygiene Measures ◽  
Wet Market ◽  
Medical Grade

BACKGROUND In late December 2019, an outbreak of a novel coronavirus disease (COVID-19; previously known as 2019-nCoV) was epidemiologically linked to seafood and wet animal market in Wuhan, Hubei, China. This event has instigated negative stigma among the general population to view the wet market as a high-risk location for potential transmission of coronavirus. OBJECTIVE This study investigated the prevalence of facemask use among general population visiting the wet market as well as factors contributing to unacceptable facemask practice. Setting The visitors to a district wet market selling range of live or freshly slaughtered animals during COVID-19 pandemic outbreak was observed for facemask practice. METHODS All Individuals visiting the market were observed for the type, category and practice of wearing facemas. Subjects were categorized into two groups of acceptable and unacceptable facemask practice. The Pearson chi-square was used to test for differences in investigated variables in the univariate setting and Binary Logistic regression model was used in the multivariate setting. Main outcome measure Prevalence, acceptance practice and odds ratio of unacceptance of facemask use. RESULTS Among 1697 individuals included in the final analysis, 1687 (99.7%) was observed wearing facemask with 1338 (78.8%) using medical-grade facemask. Among them, 1615 (95.7%) individuals facemask practice was acceptable while the reaming 72 (4.3%) individuals were observed with unacceptable facemask practice. Individuals using medical-grade facemask and high-risk age group are 6.4 times (OR=6.40; 95% CI, 2.00-20.43; p=.002) and 2.06 times practice (OR=2.06; 95% CI, 1.08-3.94; p=.028) more likely to have unacceptable facemask practice respectively. CONCLUSIONS High saturation of facemask among the general population is an adequate indicator of public hygiene measures strategy which can help to mitigate the COVID-19 epidemic impact. Alarmingly, the unacceptable facemask practice among high-risk population raises the need for a targeted approach by healthcare authorities to ensure satisfactory facemask use.

scholarly journals Factors associated with sarcopenia in subjects aged 80 years and over

2015 ◽  
Vol 28 (3) ◽  
pp. 319-326 ◽  
Author(s):  
Vanessa Ribeiro dos Santos ◽  
Diego Giulliano Destro Christofaro ◽  
Igor Conterato Gomes ◽  
Ricardo Ribeiro Agostinete ◽  
Ismael Forte Freitas Júnior ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Lean Mass ◽  
Binary Logistic Regression ◽  
Sociodemographic Factors ◽  
Noncommunicable Diseases ◽  
Chi Square ◽  
Significance Level ◽  
Factors Associated ◽  
Epidemiological Factors ◽  
Chi Square Test

OBJECTIVE: To analyze whether sarcopenia is associated with sociodemographic factors and chronic noncommunicable diseases in adults aged 80 years and older. METHODS: The sample consisted of 120 adults aged 80 to 95 years (83.4±2.9 years) from the city of Presidente Prudente (São Paulo, Brazil), of which 76 were females (83.4±3.0 years) and 44 were males (83.4±2.6 years). The study sociodemographic and epidemiological factors were: age stratum, gender, marital status, education level, chronic noncommunicable diseases, ethnicity, and nutritional status. Body composition was determined by Dual-Energy X-Ray Absorptiometry and sarcopenia was identified by the appendicular lean mass ratio (upper limb lean mass + lower limb lean mass [kg]/height [m]2). The Chi-square test analyzed whether sarcopenia was associated with sociodemographic and epidemiological factors and binary logistic regression expressed the magnitude of the associations. The data were treated by the software Statistical Package for the Social Sciences (17.0) at a significance level of 5%. RESULTS: The factors associated with sarcopenia were gender, age, nutritional status, and osteopenia/osteoporosis. CONCLUSION: The factors gender, age, nutritional status, and osteopenia/osteoporosis are independently associated with sarcopenia in adults aged 80 years and older.

scholarly journals Appraisal of Issues Influencing Soil-Steps Application for Sustainable Farmland Management in High-Potential District, Ethiopia

2018 ◽  
Vol 7 (3) ◽  
pp. 102
Author(s):  
Mehretie Belay
Keyword(s):  
Smallholder Farmers ◽  
Group Discussion ◽  
Household Head ◽  
Binary Logistic Regression ◽  
Northwest Ethiopia ◽  
Study Data ◽  
High Potential ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Chi Square Test

Soil damage by moving water is a somber predicament on farmlands in highland Ethiopia. Sizeable number of trial in farmland preservation has been executed to handle the crisis during the last tens of years. However, the attempts have not been vibrant to trim-down the danger to an attractive extent. This paper evaluates factors contributing to application of soil-steps (bunds) as sustainable farmland management technology (SFLMT) by smallholder farmers in one of the high-potential districts of northwest Ethiopia named Dangila Woreda (District). Mixed method triangulation designs involving concurrent acquisition and interpretation of quantitative and qualitative data were used in the study. Data were acquired from randomly chosen 201 farming households during the harvest seasons of 2011 and 2012. Ordered questionnaire, participatory field observation, key informant interview and focus group discussion were mechanisms employed during the data acquisition. Descriptive statistics (means, standard deviations and percentiles), Chi-square test, t-test and the binary logistic regression model were used to analyze the quantitative data. The qualitative information was textually narrated to augment the quantitative results. Findings of the investigation confirm that age of the household head, the number of household members, slope of the farmland, the size of the farmland held, households’ participation in indigenous labour-sharing activities and the number of farm tools owned were significantly increasing the building of soil-steps as SFLMT in the study district. Involvement in off-farm activities and pest invasions were considerably hindering farmers from building soil-steps on their farmlands. The results in general indicated that households’ access to livelihood assets are key promoters for farmers’ implementation of soil-steps on their farmlands. Local resource preservation and improvement trials should thus ponder on convalescing farmers’ material endowments to improve their capability to use soil-steps as SFLMT in their farming activities.

scholarly journals 1195. Where You Live Matters: United States Region as a Significant Predictor of Mortality for ESBL Infection Based on a Descriptive Study Using NIS Database

2018 ◽  
Vol 5 (suppl_1) ◽  
pp. S361-S362 ◽  
Author(s):  
Elizabeth George ◽  
Sarah Aurit ◽  
Christopher Destache ◽  
Renuga Vivekanandan
Keyword(s):  
Case Fatality ◽  
Binary Logistic Regression ◽  
Multidrug Resistant ◽  
Inpatient Setting ◽  
Continuous Variables ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
The Us ◽  
Resistant Infection ◽  
Prolonged Hospital

Abstract Background Extended-spectrum β-lactamase (ESBL) enzymes are produced by multidrug-resistant (MDR) pathogens and confer resistance to β-lactam antibiotics. Infections due to MDR organisms, particularly those ESBL producing pathogens, are of major concern worldwide and are associated with prolonged hospital stay and increased case-fatality rate. Carbapenems are the treatment of choice for severe infections however overuse of this class of antibiotics is leading Carbapenemase-producing pathogens. Variations have been observed in the prevalence of ESBL strains from different US regions; however, it is unclear whether morbidity and mortality follow a similar pattern. This study was conducted to explore the incidence of ESBL infections in the inpatient setting and factors that affect morbidity/mortality. Methods The National Inpatient Sample (NIS) was used to identify all hospitalizations during 2002 to 2014; all primary and secondary diagnoses were searched to identify-resistant infection that utilized the ICD-9 code “V091.” All hospitalizations were stratified based on the indication of resistant infection, and comparisons were made with the chi-square test and linear regression for categorical and continuous variables, respectively. A multivariable binary logistic regression model was used to examine survival for those with ESBL infection. All analyses were conducted with SAS version 9.4; P &lt; 0.005 was considered significant. Results The analysis identified 320,888,511 hospitalizations with 17,732 identified with ESBL infection. Significant differences for those with and without an ESBL infection were found based on the US region with the pertinent results as follows; Northeast: 19.95% vs. 23.30%, Midwest: 14.71% vs. 16.81%, South: 25.14% vs. 40.53%, and West: 40.20% vs. 19.35%; P &lt; 0.001. Results indicated the US region as a significant predictor of mortality for those with ESBL infection. Regions identified in Figure 1. Conclusion Notable findings from this study include a statistically significant variation in mortality risk between US regions. Comparatively lower risk of mortality as related to ESBL infection was noted in the Midwest region when compared with the West region. A greater understanding of the regional epidemiology of β-lactamases is needed to clarify why this disparity exists. Figure 1 Disclosures All authors: No reported disclosures.

scholarly journals Intimate Partner Violence and Pregnancy Termination in Armenia: Evidence from Nationally-Representative Survey Data

2021 ◽  
Vol 11 (2) ◽  
pp. 294-302
Author(s):  
Nandeeta Samad ◽  
Pranta Das ◽  
Bright Opoku Ahinkorah ◽  
Abdul-Aziz Seidu ◽  
James Boadu Frimpong ◽  
...  
Keyword(s):  
Intimate Partner Violence ◽  
Sexual Violence ◽  
Partner Violence ◽  
Physical Violence ◽  
Pregnancy Termination ◽  
Binary Logistic Regression ◽  
Intimate Partner ◽  
Binary Logistic Regression Model ◽  
Predictive Capacity ◽  
Nationally Representative

Intimate partner violence has been associated with numerous consequences for women, including pregnancy termination. This study examined the association between predictive capacity of intimate partner violence and pregnancy termination among women in Armenia. The study analyzed the 2015–16 Armenia Demographic and Health Survey (ADHS) data on women aged 15–49 (Mean: 31.49; Standard Deviation, SD: 9.51). Marital control exercised by husbands, ever experienced physical violence, sexual violence, and emotional violence by husbands were the four indicators of intimate partner violence used in this study. To assess the association between intimate partner violence and pregnancy termination, a binary logistic regression model was fitted. After controlling for confounders, we found that women whose husbands exercised marital control were 26% more likely to experience pregnancy termination, compared to women whose husbands did not exercise marital control (adjusted odds ratio (aOR): 1.26, 95% Confidence interval (CI): 1.03–1.53). Women who ever experienced sexual violence were about 10 times likely to experience pregnancy termination than women who did not experience sexual violence (aOR: 9.76, 95% CI: 1.91–49.96). Both ever experienced physical violence and emotional violence did not have any significant associations with pregnancy termination. Forms of intimate partner violence are associated with pregnancy termination. The findings of this study provide evidence for government and policymakers to formulate, modify, and implement policies and program that target both men and women regarding the prevailing intimate partner violence and its consequences. Strengthening the policy implementation will ensure that women are empowered to make decisions about their reproductive health. Making husbands and their family members aware of the basics and consequences of intimate partner violence and focusing on child cognitive development which can be hampered due to the prevalence violence in families are recommended.

scholarly journals Factors influencing early initiation of breastfeeding among mothers in Rajshahi district, Bangladesh

2020 ◽  
Author(s):  
Ummay Ayesha ◽  
Abu Sayed Md. Al M ◽  
Md. Nurul Islam ◽  
Md. Ripter Hossain ◽  
Samme Amena Tasmia ◽  
...  
Keyword(s):  
Binary Logistic Regression ◽  
Influential Factors ◽  
Immune Defense ◽  
Early Initiation ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Early Initiation Of Breastfeeding ◽  
Level Ii ◽  
Chi Square Test ◽  
Initiation Of Breastfeeding

Abstract Background: Early initiation of breastfeeding (EIBF) act as the first immunization for the newborns, fortify their immune defense system and eventually reduce the mortality rate. This study aimed to identify the influential factors of EIBF among mothers in Rajshahi district, Bangladesh.Methods: A total number of 421 mothers living in Rajshahi district who had at least one child aged 6-24 months were considered as sample. Mothers were selected using multistage random sampling. This study was conducted from January to March, 2019. The EIBF was measured by a principal question, “Did you provide your breast milk to your newborns within one hour after delivery?” Frequency distribution and Chi-square test and multivariable binary logistic regression model were utilized in this study for getting prevalence and influential factors of EIBF respectively. Results: This study revealed that the prevalence of EIBF among mothers in Rajshahi district was 88.4%. Multivariable logistic model provided eight influential factors of EIBF: (i) husbands’ education level, (ii) husbands’ occupation, (iii) family monthly income, (iv) mothers’ age, (v) mothers’ BMI, (vi) place of delivery, (vii) getting pregnancy with planning, and (viii) mothers taking advice regarding the benefit of breastfeeding during their pregnancy. Conclusions: This study identified several modifiable influential factors of EIBF. The customs, culture and other characteristics are almost the same across the country. These factors could be considered to increase the rate of EIBF among mothers in Bangladesh.

scholarly journals Factors influencing early initiation of breastfeeding among mothers in Rajshahi district, Bangladesh

2020 ◽  
Author(s):  
Ummay Ayesha ◽  
Abu Sayed Md. Al M ◽  
Md. Nurul Islam ◽  
Md. Ripter Hossain ◽  
Samme Amena Tasmia ◽  
...  
Keyword(s):  
Breast Milk ◽  
Binary Logistic Regression ◽  
Influential Factors ◽  
Early Initiation ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Early Initiation Of Breastfeeding ◽  
Protective Antibodies ◽  
Chi Square Test ◽  
Initiation Of Breastfeeding

Abstract Background: Early initiation of breastfeeding (EIBF) is referred to as providing breast milk to the newborn within one hour of birth. EIBF ensures that the infant receives the colostrum containing highly protective antibodies. This study aimed to identify the influential factors of EIBF among mothers in Rajshahi district, Bangladesh. Methods: The data was collected from mothers living in Rajshahi district who had at least one child aged 6-24 months. This study was conducted from January to March, 2019. The EIBF was measured by a principal question, “Did you provide your breast milk to your infant within one hour after delivery?” Frequency distribution and Chi-square test and multivariable binary logistic regression model were utilized in this study for getting prevalence and influential factors of EIBF respectively. Results: This study revealed that the prevalence of EIBF among mothers in Rajshahi district was 88.4%. Multivariable logistic model provided eight influential factors of EIBF: (i) place of delivery, (ii) family monthly income, (iii) husbands’ education level, (iv) mothers’ nutritional status, (v) mothers’ age, (vi) husbands’ occupation, (vii) getting pregnancy with planning, and (viii) mothers taking advice regarding the benefit of breastfeeding during their pregnancy. Conclusions: This study identified several modifiable influential factors of EIBF. The customs, culture and other characteristics are almost the same across the country. These factors could be considered to increase the rate of EIBF among mothers in Bangladesh.

scholarly journals Prevalence and Risk Factors of Microalbuminuria in Nondiabetic Hypertensive Patients

2014 ◽  
Vol 3 (2) ◽  
pp. 15-22
Author(s):  
Amdadul Haque ◽  
Mahmud Javed Hasan ◽  
Md Asaduzzaman Raja ◽  
Md Aminul Islam
Keyword(s):  
Laboratory Data ◽  
Binary Logistic Regression ◽  
Cross Sectional Study ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Cross Sectional ◽  
Hypertensive Patients ◽  
Medical College ◽  
Low Hdl ◽  
History Of

The aim of this study to determine the prevalence of microalbuminuria as well as associated factors in non-diabetic hypertensive patients. Hospital-based cross sectional study. Main outcome of measure is microalbuminuria. A total of 100 nondiabetic hypertensive patients age 18 years without a history of pre-existing kidney disease attending the outpatient department of Community Based Medical College Bangladesh, Mymensingh over a period 6 months from June to December 2014 and who consented and met the criteria were enrolled in this study. A questionnaire including clinical and laboratory data was completed for all cases. The survey data were checked, coded and entered into a SPSS statistical package (Version 11.5). All variables were tested for normal distribution of the data. The data were then cleaned and analyzed using Chi-square (x2) Test, One-Way ANOVA statistics and Binary logistic regression model. Results were considered statistically significant for two-sided P values of <0.05. The overall prevalence of microalbuminuria was 17% of patients (11(64.7%) were male and 6(35.3%) female). The mean age and BMI were 49.2±9.1 years and 23.5±3.8 kg/m2 respectively. There were only 2(2%) patients whose systolic BP and diastolic BP were both well controlled (<140/˂90 mmHg), while normalization rates of either systolic BP (<140 mmHg) or diastolic BP (<90 mmHg) were 10% and 26% respectively. Age 50 years, low HDL, duration of HTN and triglyceride >150 mg/dl were found independent predictors of elevated UAE with ORs being 0.18, 3.9, 0.13 and 0.49 respectively. Microalbuminuria was not uncommon in non-diabetic hypertensive patients and older age, low HDL, high LDL, raised triglyceride and duration of HTN were significant predictors of microalbuminuria. There is an urgent need to screening of microalbuminuria should be mainstreamed into routine investigation and follow-up of patients with HBP. CBMJ 2014 July: Vol. 03 No. 02 P: 15-22

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