Interbirth Interval and Pregnancy Complications and Outcomes: Findings from the Pregnancy Risk Assessment Monitoring System

Huber, Larissa R. Brunner; Smith, Kenesha; Wang, Sha; Vick, Tara

doi:10.1111/jmwh.12745

Cited by 13 publications

(9 citation statements)

References 37 publications

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“…On the reverse, other studies indicated that there was a strong association between short IPI and PPROM [20]. Similarly, short IPI less than 18 months [21] increased the odds of the occurrence of PROM. Reduction of term PROM among women with optimal IPI in the current study can happen as a result of positive effect optimal IPI on Mom’s body.…”

Section: Discussionmentioning

confidence: 99%

Determinants of premature rupture of membrane in Southern Ethiopia, 2017: case control study design

et al. 2018

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ObjectiveTo identify the determinants of term premature rupture of membrane in Southern Ethiopia public hospitals, 2017.ResultsSeventy-five cases and 223 controls women were enrolled for the study. Two hundred eighty-four (95.3%) participants were admitted at the gestational age of above 40, and the rest, 14 (4.7%), were admitted at 37–40 weeks of gestation. The current study identified wealth index and inter-birth interval as preventive predictors, but smoking and hypertension during pregnancy were identified as positive determinants of premature rupture of membrane. This finding is supported by multiple logistic regression analysis result of wealth index (AOR: 0.102, 95% CI [0.033, 0.315]), inter-birth interval (AOR: 0.251, 95% CI [0.129, 0 0.488]), smoking (AOR: 17.053, 95% CI [2.145, 135.6]), and hypertension (AOR: 8.92, 95% CI (1.91, 41.605]). The association between PROM and its determinants indicated that evidence-based interventions should be needed and designed to have very high wealth index, and optimal interbirth interval, and prevent smoking and hypertension during pregnancy to decrease PROM occurrence in the study settings. Hence, we recommended that integration of prevention mechanism of modifiable determinants to the obstetrics health care system will reduce premature ruptures of a membrane.

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Section: Discussionmentioning

confidence: 99%

Determinants of premature rupture of membrane in Southern Ethiopia, 2017: case control study design

et al. 2018

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“…Of these, articles were further excluded because of lack of risk estimates ( n = 89), having two or fewer birth spacing strata ( n = 80), birth spacing not measured ( n = 36), irrelevant or nonspecific outcomes ( n = 53), reviews or conference abstracts ( n = 15), short birth spacing ( n = 6), and overlapping population ( n = 4). With additional manual search, 129 studies comprising 46 874 843 participants were ultimately included in the systematic review (Figure S1), including 90 cohort studies, 11‐14,17‐19,34‐116 23 cross‐sectional studies, 10,117‐138 15 case–control studies, 8,139‐152 and 1 cluster‐randomized trial 153 . The baseline characteristics of the eligible studies are presented in Table S2.…”

Section: Resultsmentioning

confidence: 99%

Birth spacing and risk of adverse pregnancy and birth outcomes: A systematic review and dose–response meta‐analysis

Ni,

Gao,

et al. 2023

Acta Obstet Gynecol Scand

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IntroductionThe association between extreme birth spacing and adverse outcomes is controversial, and available evidence is fragmented into different classifications of birth spacing.Material and methodsWe conducted a systematic review of observational studies to evaluate the association between birth spacing (i.e., interpregnancy interval and interoutcome interval) and adverse outcomes (i.e., pregnancy complications, adverse birth outcomes). Pooled odds ratios (ORs) with 95% confidence intervals (CI) were calculated using a random‐effects model, and the dose–response relationships were evaluated using generalized least squares trend estimation.ResultsA total of 129 studies involving 46 874 843 pregnancies were included. In the general population, compared with an interpregnancy interval of 18–23 months, extreme intervals (<6 months and ≥ 60 months) were associated with an increased risk of adverse outcomes, including preterm birth, small for gestational age, low birthweight, fetal death, birth defects, early neonatal death, and premature rupture of fetal membranes (pooled OR range: 1.08–1.56; p < 0.05). The dose–response analyses further confirmed these J‐shaped relationships (pnon‐linear < 0.001–0.009). Long interpregnancy interval was only associated with an increased risk of preeclampsia and gestational diabetes (pnon‐linear < 0.005 and pnon‐linear < 0.001, respectively). Similar associations were observed between interoutcome interval and risk of low birthweight and preterm birth (pnon‐linear < 0.001). Moreover, interoutcome interval of ≥60 months was associated with an increased risk of cesarean delivery (pooled OR 1.72, 95% CI 1.04–2.83). For pregnancies following preterm births, an interpregnancy interval of 9 months was not associated with an increased risk of preterm birth, according to dose–response analyses (pnon‐linear = 0.008). Based on limited evidence, we did not observe significant associations between interpregnancy interval or interoutcome interval after pregnancy losses and risk of small for gestational age, fetal death, miscarriage, or preeclampsia (pooled OR range: 0.76–1.21; p > 0.05).ConclusionsExtreme birth spacing has extensive adverse effects on maternal and infant health. In the general population, interpregnancy interval of 18–23 months may be associated with potential benefits for both mothers and infants. For women with previous preterm birth, the optimal birth spacing may be 9 months.

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“…It has been calculated that maternal mortality has been reduced globally by 30% by the increase in contraceptive use [4]. Unintended pregnancies, pregnancy spacing, and reducing high-risk pregnancies are the consequences of contraceptive use [5][6][7]. Current studies show that every year, contraceptive use could reduce nearly 230 million births by stopping unwanted pregnancies [8].…”

Section: Introductionmentioning

confidence: 99%

“…Current studies show that every year, contraceptive use could reduce nearly 230 million births by stopping unwanted pregnancies [8]. As a result, the use of contraception improves the health of women and their children [6,9]. However, the prevalence of contraceptive practice varied between 11.3% and 72.1% in different countries, namely Mozambique, 11.3%, Ghana, 21.5%, Bangladesh (modern method), 54.0%, and Sweden, 72.1% [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Algorithm-Based Contraceptive Practice among Ever-Married Women in Bangladesh: A Hierarchical Machine Learning Classification Approach

Haq¹,

Hossain²,

Rahman³

et al. 2022

Artificial Intelligence Annual Volume 2022

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Contraception enables women to exercise their human right to choose the number and spacing of their children. The present study identified the best model selection procedure and predicted contraceptive practice among women aged 15–49 years in the context of Bangladesh. The required information was collected through a well-known nationally representative secondary dataset, the Bangladesh Demographic and Health Survey (BDHS), 2014. To identify the best model, we applied a hierarchical logistic regression classifier in the machine learning process. Seven well-known ML algorithms, such as logistic regression (LR), random forest (RF), naïve Bayes (NB), least absolute shrinkage and selection operation (LASSO), classification trees (CT), AdaBoost, and neural network (NN) were applied to predict contraceptive practice. The validity computation findings showed that the highest accuracy of 79.34% was achieved by the NN method. According to the values obtained from the ROC, NN (AUC = 86.90%) is considered the best method for this study. Moreover, NN (Cohen’s kappa statistic = 0.5626) shows the most extreme discriminative ability. From our research, we suggest using the artificial neural network technique to predict contraceptive use among Bangladeshi women. Our results can help researchers when trying to predict contraceptive practice.

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Interbirth Interval and Pregnancy Complications and Outcomes: Findings from the Pregnancy Risk Assessment Monitoring System

Cited by 13 publications

References 37 publications

Determinants of premature rupture of membrane in Southern Ethiopia, 2017: case control study design

Determinants of premature rupture of membrane in Southern Ethiopia, 2017: case control study design

Birth spacing and risk of adverse pregnancy and birth outcomes: A systematic review and dose–response meta‐analysis

Machine Learning Algorithm-Based Contraceptive Practice among Ever-Married Women in Bangladesh: A Hierarchical Machine Learning Classification Approach

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