Dataset Information

Association between short birth spacing and child malnutrition in Bangladesh: a propensity score matching approach.

ABSTRACT:

Objectives

This study aimed to explore the effects of short birth spacing (SBS), which is defined as a period of less than 33 months between two successive births, on multiple concurrent forms of child malnutrition (MCFCM) and at least one form of child malnutrition (ALOFCM) using propensity score matching (PSM).

Methods

This study used data extracted from the 2017-18 Bangladesh Demographic and Health Survey. PSM with four different distance functions, including logistic regression, classification and regression tree, single hidden layer neural network and random forest, were performed to evaluate the effects of SBS on MCFCM and ALOFCM. We also explored how the effects were modified in different subsamples, including women's empowerment, education and economic status (women's 3E index)-constructed based on women's decision-making autonomy, education level, and wealth index, and age at marriage, and place of residence.

Results

The prevalence of SBS was 22.16% among the 4652 complete cases. The matched samples of size 2062 generated by PSM showed higher odds of MCFCM (adjusted OR (AOR)=1.25, 95% CI=1.02 to 1.56, p=0.038) and ALOFCM (AOR=1.20, 95% CI=1.01 to 1.42, p=0.045) for the SBS children compared with their counterparts. In the subsample of women with 3E index≥50% coverage, the SBS children showed higher odds of MCFCM (AOR: 1.43, 95% CI=1.03 to 2.00, p=0.041] and ALOFCM (AOR: 1.33, 95% CI=1.02 to 1.74, p=0.036). Higher odds of MCFCM (AOR=1.27, 95% CI=1.02 to 1.58, p=0.036) and ALOFCM (AOR=1.23, 95% CI=1.02 to 1.51, p=0.032) for SBS children than normal children were also evident for the subsample of mothers married at age≤18 years.

Conclusion

SBS was significantly associated with child malnutrition, and the effect was modified by factors such as women's autonomy and age at marriage.

SUBMITTER: Ahmmed F

PROVIDER: S-EPMC10953308 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Publications

Association between short birth spacing and child malnutrition in Bangladesh: a propensity score matching approach.

Ahmmed Foyez F Hasan Md Nahid MN Hossain Md Faruk MF Khan Md Tareq Ferdous MTF Rahman Mohammod Mahmudur MM Hussain Md Parvej MP Hossain Md Jamal MJ

BMJ paediatrics open 20240318 1

<h4>Objectives</h4>This study aimed to explore the effects of short birth spacing (SBS), which is defined as a period of less than 33 months between two successive births, on multiple concurrent forms of child malnutrition (MCFCM) and at least one form of child malnutrition (ALOFCM) using propensity score matching (PSM).<h4>Methods</h4>This study used data extracted from the 2017-18 Bangladesh Demographic and Health Survey. PSM with four different distance functions, including logistic regressio ...[more]

PMID: 38499349

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Project description:BackgroundThe prevalence of Short Birth Interval (SBI) is higher in Low- and Middle-Income countries (LMICs), including Bangladesh. Previous studies in LMICs have estimated the effects of SBI on child mortality by comparing two unequal groups of mothers based on their socio-economic status. This approach may lead to overestimation or underestimation of the true effect of birth interval on child mortality, particularly when sample sizes are relatively small.ObjectiveWe determined the effects of SBI on several forms of child mortality in Bangladesh by comparing two equal groups created by applying the propensity score matching technique.MethodsThis study analyzed data from 5,941 mothers and 1,594 health facilities extracted from the 2017/18 Bangladesh Demographic and Health Survey and the 2017 Bangladesh Health Facility Survey. The exposure variable was SBI (defined as the interval between two subsequent births <33 months: yes, no), while the outcome variables were neonatal mortality (defined as mortality within 28 days of birth: yes, no), infant mortality (defined as mortality within 1 year of birth: yes, no), and under-five mortality (defined as mortality within 5 years of birth: yes, no). Multilevel Poisson regression based on inverse probability treatment weights was used to determine the association between exposure and outcome variables.ResultsThe prevalence rates of neonatal, infant, and under-five mortality were 48.8, 30.8, and 23.1 per 1000 live births, respectively. Newborns of SBI mothers were found to have a 63% higher likelihood of neonatal mortality (aPR, 1.63; 95% CI, 1.08-2.46) compared to newborns of non-SBI mothers. Furthermore, the prevalence of infant mortality and under-five mortality was 1.45 times higher (aPR, 1.45; 95% CI, 1.01-2.08) and 2.82 times higher (aPR, 2.82; 95% CI, 2.16-3.70), respectively, among babies born in a short interval of their immediately preceding sibling as compared to babies born in a normal interval of their immediately preceding sibling.ConclusionsFindings of this study indicate that SBI is an important predictor of child mortality. Consequently, around 1 million children born in a short interval every year in Bangladesh are at risk of dying before reaching their fifth birthday. This indicates a challenge for Bangladesh to achieve the SDG 3 target to reduce neonatal and under-five mortality to 12 and 25 deaths per 1000 live births, respectively. Hence, awareness-building programs about the adverse effects of SBI and strengthening existing healthcare facilities are important.

Project description:ObjectivesTo estimate the effect of HIV infection on the risk of preterm birth (PTB) and low birth weight (LBW) among Chinese pregnancy women.DesignA retrospective cohort study included HIV-positive pregnant women who gave birth to singletons in Chengdu between 2011 and 2020 and and HIV-negative pregnant women who delivered singletons at the Chengdu Women's and Children's Central Hospital in 2020.SettingData of pregnant women living with HIV were extracted from China's Information System of Prevention of Mother-to-Child Transmission of HIV Management. Additionally, information for HIV-negative pregnant women was extracted from the electronic medical record system of the Chengdu Women's and Children's Central Hospital.Participants755 HIV-positive women and 15,094 HIV-negative pregnant women were included.Primary outcome measuresPTB and LBW rates, which were defined by gestational weeks and birth weight.ResultsThe incidences of PTB and LBW (13.51% and 14.17%, respectively) were significantly higher in the HIV-positive group compared with the HIV-negative group (6.82% and 4.65%). Propensity score matching was performed to improve comparability of the two groups, resulting in 1590 pregnancies with 558 HIV-positive and 1032 HIV-negative women in the final analysis. Conditional logistic regression was used to estimate the effect of maternal HIV status on adverse pregnancy outcomes. After propensity score matching and controlling the potential confounders, HIV infection was strongly associated with higher chances of LBW and PTB with adjusted odd ratios (95% confidence interval) of 2.53 (1.74 to 3.68) and 1.95 (1.33 to 2.85), respectively.ConclusionsHIV infection was significantly associated with increased risks of PTB and LBW in Chinese pregnant women. Future studies should focus on investigating the mechanisms underlying the association between HIV infection and adverse birth outcomes, and on identifying strategies to reduce the incidence of PTB and LBW in pregnant women living with HIV.

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Project description:Low Birth Weight (LBW) is considered as a major public health issue and leading cause of neonatal death. Almost one in four newborns are reported as underweight in Pakistan. Children born with low birth weight are highly vulnerable to develop diseases and death and/or remain undernourished (i.e., stunted and wasted). This study determines the LBW newborns are more prone to develop stunting and wasting in province of Sindh, Pakistan. Moreover, regression-based estimation of the impact of LBW on the child health outcomes of under five years of age, may be prone to selection bias because of the nature of non-experimental data set, thus, propensity score matching methods are used in this study. Data for this study was used from Multiple Indicators Cluster Survey (MICS-2014). MICS is a two-stage, stratified cluster sampling household level data covering urban and rural areas and consists of 19,500 households from five administrative divisions and 28 districts of Sindh province of Pakistan. The total sample size of children less than five years of age after cleaning the data are 7781, of which 2095 are LBW having birth weight categorized as "smaller than average and very small" and 5686 are normal birth weight (NBW) having birth weight very large, larger than average, and average. This study employed propensity score matching (PSM) regression methods to understand whether the children born as low birth weight are more prone to stunting and wasting and/or both. In province of Sindh, moderate wasting children under five years were 21%, severe wasting 6% and both wasting and stunting 10%. The propensity score results are shown significant in all groups. Specifically, all four types of PSM methods confirm a significant difference in the potential outcome variables-meaning that a child born with LBW has a significant adverse effect on the potential child health outcome variables (stunting, wasting and both). Thus, the propensity score matching findings confirm a significant and adverse effect of LBW on potential health outcomes of under five children. Similarly, low birth weight children are significantly more likely to be moderately wasted (OR = 1.5, CI = 1.3-1.6) and severely wasted (OR = 1.6, CI = 1.3-2.0) and both (stunted and wasted, OR = 2.0, CI = 1.7-2.3) as compared to children with normal birth weight. Male children, if born with low birth weight, are significantly more likely to be moderately wasted (OR = 1.3, CI = 1.1-1.5) and both (wasted and stunted, OR = 1.3, CI = 1.1-1.5) than girls. This large data analysis finding proved that the LBW newborns are on higher risk to develop wasting and stunting in Pakistan.

Dataset Information

Association between short birth spacing and child malnutrition in Bangladesh: a propensity score matching approach.

Objectives

Methods

Results

Conclusion

Publications

Association between short birth spacing and child malnutrition in Bangladesh: a propensity score matching approach.

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