Does dropout from school matter in taking antenatal care visits among women in Bangladesh? An application of marginalized poisson-poisson mixture model.

BACKGROUND: There exists a lack of research in explaining the link between dropout from school and antenatal care (ANC) visits of women during pregnancy in Bangladesh. The aim of this study is to investigate how the drop out from school influences the ANC visits after controlling the relevant covariates using an appropriate count regression model. METHODS: The association between the explanatory variables and the outcome of interest, ANC visits, have been performed using one-way analysis of variance/independent sample t-test. To examine the adjusted effects of covariates on the marginal mean of count data, Marginalized Poison-Poisson mixture regression model has been fitted. RESULTS: The estimated incidence rate of antenatal care visits was 10.6% lower for the mothers who were not continued their education after marriage but had at least 10 years of schooling (p-value <0.01) and 20.2% lower for the drop-outed mothers (p-value <0.01) than the mothers who got continued their education after marriage. CONCLUSIONS: To ensure the WHO recommended 8+ ANC visits for the pregnant women of Bangladesh, it is essential to promote maternal education so that at least ten years of schooling should be completed by a woman and dropout from school after marriage should be prevented.

Link between unmet need and economic status in Bangladesh: gap in urban and rural areas.

BACKGROUND: Unmet need for family planning (FP) is a core concept in designing FP programmes and reduction of unmet need for FP can improve reproductive and maternal health services. Bangladesh is still away from achieving the target regarding unmet need for FP. This study aimed to explore the composite effect of economic status and place of residence on unmet need for FP among currently married women of reproductive age in Bangladesh after controlling the effect of other selected covariates. METHODS: The study used the data extracted from the Bangladesh Demographic and Health Survey (BDHS) 2017-2018, which is a nationally representative survey implemented using a stratified two-stage cluster sample design. A total of 13,031 currently married women of reproductive age were included in the final analysis. Binary logistic regression model has been employed to identify the factors influencing the unmet need for FP. Model-I investigated the effect of composite variable place-wealth on unmet need for FP and Model-II examined the effect of place-wealth on unmet need for FP after adjusting for the effect of other selected covariates. The Odds Ratios with p-values were reported to identify significant covariates. RESULTS: The rate of unmet need for FP was 15.48%. The composite factor of economic status and place of residence had significant influence on unmet need for FP in both models. Generally, rural women were significantly more likely to have unmet need for FP than their urban counterparts. In particular, women from rural areas and belong to rich families had the highest likelihoods of unmet need for FP. The other selected covariates also had significant influence on unmet need for FP. CONCLUSION: This study shows that rural women had higher odds of unmet need for FP than urban women. The healthcare providers and stakeholders should take necessary actions to motivate women to use contraceptive specially the women who are residing in the rural areas.

Soil organic carbon dynamics in the agricultural soils of Bangladesh following more than 20 years of land use intensification.

Soil organic carbon (SOC) is a key soil quality indicator, as it is a source and storage of plant nutrients and plays a vital role in soil fertility and productivity maintenance. Intensification of agriculture is known to cause SOC decline; however, much of the evidence stems from field-scale experimental trials. The primary aim of this study is to investigate how more than 20 years of agricultural land use intensification in Bangladesh has influenced SOC levels at landscape levels. This was achieved by revisiting in 2012 four sub-sites from the Brahmaputra and Ganges alluviums which were previously sampled (1989-92) by the Soil Resource Development Institute and collecting 190 new samples. These were located at different elevations and subjected to differing amounts of inundation. The SOC was determined using the same method, potassium dichromate wet oxidation, used in the 1989-92 campaign. A comparison of the SOC in the 2012 samples with their historic levels (1989-92) revealed that overall SOC declined significantly across both alluviums as well at their four sub-sites. Further analysis, however, showed that SOC has declined more at higher sites. The higher sites are inundated to a limited level, which makes them suitable for growing multiple crops. Among the land types considered here, the low land sites (because of their topographical position) remain inundated for a greater part of the year, allowing a maximum of only one crop of submerged rice. As a result of reduced biomass decomposition due to anaerobic conditions when inundated, and lower land use/cropping intensity, SOC accretion has occurred in the lower land sites. The SOC levels in South Asian countries are inherently low and agricultural land use intensification fuelled by growing food production demand is causing further SOC loss, which has the potential to jeopardise food security and increase the environmental impact of agriculture.

Upgrading analytical methodology through comparative study for screening of 267 pesticides/metabolites in five representative matrices using UPLC-MS/MS.

A comparative study was conducted to replace the traditional screening method (MFDS#83) with the Quick, Easy, Cheap, Effective, Rugged and Safe (QuEChERS) EN method for the determination of 267 pesticides/metabolites/plant activators/growth regulators in five representative crop matrices (mandarin, pepper, potato, rice, and soybean). In the traditional method, samples were extracted with acetonitrile and salt, and purified with a solid-phase extraction cartridge. In the QuEChERS method, the sample extraction was carried out using acetonitrile and a mixture of salts, and purification was performed using dispersive solid phase extraction. The limit of quantification (LOQ) for the MFDS#83 method was 0.0004 mg/kg, whereas for the QuEChERS EN method, the LOQ varied from 0.002 to 0.006 mg/kg for all analytes in various matrices. A six-point matrix-matched calibration curve was prepared for all analytes in five matrices for both methods. Both the MFDS#83 and QuEChERS EN methods provided excellent linearity, with the coefficients of determination (R2) ≥ 0.99 for most of the compounds. In both cases, the method was validated in terms of recovery and repeatability after the fortification of two different concentrations with three replicates for each of the concentrations. The QuEChERS EN method provided better recovery than the MFDS#83 method for all matrices except mandarin.

Consequences of intimate partner violence against women on under-five child mortality in Bangladesh.

It is well established that intimate partner violence (IPV) against women adversely affects maternal morbidity and mortality. But a limited number of studies were found in the literature regarding the association between IPV and under-five child mortality. In this article, using Bangladesh Demographic and Health Survey (BDHS) 2007 data, we examined the effect of IPV on under-five child mortality. A product-limit approach was used for bivariate survival analysis, and Cox proportional hazard multiple regression models were used to investigate the effect of IPV controlling potential confounders. In bivariate analysis, the variables exposure to IPV, mother's age at birth, mother's education, residence type, division, number of children, wealth index, occupation, access to media, and decision autonomy were found to be potential risk factors for child mortality. Results indicated that women exposed to IPV were more likely to experience under-five child mortality compared with women not exposed. The unadjusted hazard ratio for IPV was 1.21 (95% confidence interval [CI] = [1.09, 1.35]) with p value < .01, whereas it was 1.16 (95% CI = [1.04, 1.29]) with p value < .01 and 1.13 (95% CI = [1.01, 1.26]) with p value < .05 in two adjusted models. These results implied that IPV against women is a problem not only for women but also for their children's survival.