Maternal weight latent trajectories and associations with adverse pregnancy outcomes using a smoothing mixture model
Abstract Class membership is a critical issue in health data sciences. Different types of statistical models have been widely applied to identify participants within a population with heterogeneous longitudinal trajectories. This study aims to identify latent longitudinal trajectories of maternal we...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-36312-z |
| _version_ | 1797811472886136832 |
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| author | Shirin Faraji Azad Akbar Biglarian Maryam Rostami Razieh Bidhendi-Yarandi |
| author_facet | Shirin Faraji Azad Akbar Biglarian Maryam Rostami Razieh Bidhendi-Yarandi |
| author_sort | Shirin Faraji Azad |
| collection | DOAJ |
| description | Abstract Class membership is a critical issue in health data sciences. Different types of statistical models have been widely applied to identify participants within a population with heterogeneous longitudinal trajectories. This study aims to identify latent longitudinal trajectories of maternal weight associated with adverse pregnancy outcomes using smoothing mixture model (SMM). Data were collected from the Khuzestan Vitamin D Deficiency Screening Program in Pregnancy. We applied the data of 877 pregnant women living in Shooshtar city, whose weights during the nine months of pregnancy were available. In the first step, maternal weight was classified and participants were assigned to only one group for which the estimated trajectory is the most similar to the observed one using SMM; then, we examined the associations of identified trajectories with risk of adverse pregnancy endpoints by applying logistic regression. Three latent trajectories for maternal weight during pregnancy were identified and named as low, medium and high weight trajectories. Crude estimated odds ratio (OR) for icterus, preterm delivery, NICU admission and composite neonatal events shows significantly higher risks in trajectory 1 (low weight) compared to trajectory 2 (medium weight) by 69% (OR = 1.69, 95%CI 1.20, 2.39), 82% (OR = 1.82, 95%CI 1.14, 2.87), 77% (OR = 1.77, 95%CI 1.17, 2.43), and 85% (OR = 1.85, 95%CI 1.38, 2.76), respectively. Latent class trajectories of maternal weights can be accurately estimated using SMM. It is a powerful means for researchers to appropriately assign individuals to their class. The U-shaped curve of association between maternal weight gain and risk of maternal complications reveals that the optimum place for pregnant women could be in the middle of the growth curve to minimize the risks. Low maternal weight trajectory compared to high had even a significantly higher hazard for some neonatal adverse events. Therefore, appropriate weight gain is critical for pregnant women. Trial registration International Standard Randomized Controlled Trial Number (ISRCTN): 2014102519660N1; http://www.irct.ir/searchresult.php?keyword=&id=19660&number=1&prt=7805&total=10&m=1 (Archived by WebCite at http://www.webcitation.org/6p3lkqFdV ). |
| first_indexed | 2024-03-13T07:24:04Z |
| format | Article |
| id | doaj.art-287024fc0063434684daf6afa44e4c72 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T07:24:04Z |
| publishDate | 2023-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-287024fc0063434684daf6afa44e4c722023-06-04T11:28:02ZengNature PortfolioScientific Reports2045-23222023-06-011311910.1038/s41598-023-36312-zMaternal weight latent trajectories and associations with adverse pregnancy outcomes using a smoothing mixture modelShirin Faraji Azad0Akbar Biglarian1Maryam Rostami2Razieh Bidhendi-Yarandi3Department of Biostatistics and Epidemiology, University of Social Welfare and Rehabilitation SciencesSocial Determinants of Health Research Center, University of Social Welfare and Rehabilitation SciencesDepartment of Community Medicine, Faculty of Medicine, Ahvaz Jundishapur University of Medical SciencesDepartment of Biostatistics and Epidemiology, University of Social Welfare and Rehabilitation SciencesAbstract Class membership is a critical issue in health data sciences. Different types of statistical models have been widely applied to identify participants within a population with heterogeneous longitudinal trajectories. This study aims to identify latent longitudinal trajectories of maternal weight associated with adverse pregnancy outcomes using smoothing mixture model (SMM). Data were collected from the Khuzestan Vitamin D Deficiency Screening Program in Pregnancy. We applied the data of 877 pregnant women living in Shooshtar city, whose weights during the nine months of pregnancy were available. In the first step, maternal weight was classified and participants were assigned to only one group for which the estimated trajectory is the most similar to the observed one using SMM; then, we examined the associations of identified trajectories with risk of adverse pregnancy endpoints by applying logistic regression. Three latent trajectories for maternal weight during pregnancy were identified and named as low, medium and high weight trajectories. Crude estimated odds ratio (OR) for icterus, preterm delivery, NICU admission and composite neonatal events shows significantly higher risks in trajectory 1 (low weight) compared to trajectory 2 (medium weight) by 69% (OR = 1.69, 95%CI 1.20, 2.39), 82% (OR = 1.82, 95%CI 1.14, 2.87), 77% (OR = 1.77, 95%CI 1.17, 2.43), and 85% (OR = 1.85, 95%CI 1.38, 2.76), respectively. Latent class trajectories of maternal weights can be accurately estimated using SMM. It is a powerful means for researchers to appropriately assign individuals to their class. The U-shaped curve of association between maternal weight gain and risk of maternal complications reveals that the optimum place for pregnant women could be in the middle of the growth curve to minimize the risks. Low maternal weight trajectory compared to high had even a significantly higher hazard for some neonatal adverse events. Therefore, appropriate weight gain is critical for pregnant women. Trial registration International Standard Randomized Controlled Trial Number (ISRCTN): 2014102519660N1; http://www.irct.ir/searchresult.php?keyword=&id=19660&number=1&prt=7805&total=10&m=1 (Archived by WebCite at http://www.webcitation.org/6p3lkqFdV ).https://doi.org/10.1038/s41598-023-36312-z |
| spellingShingle | Shirin Faraji Azad Akbar Biglarian Maryam Rostami Razieh Bidhendi-Yarandi Maternal weight latent trajectories and associations with adverse pregnancy outcomes using a smoothing mixture model Scientific Reports |
| title | Maternal weight latent trajectories and associations with adverse pregnancy outcomes using a smoothing mixture model |
| title_full | Maternal weight latent trajectories and associations with adverse pregnancy outcomes using a smoothing mixture model |
| title_fullStr | Maternal weight latent trajectories and associations with adverse pregnancy outcomes using a smoothing mixture model |
| title_full_unstemmed | Maternal weight latent trajectories and associations with adverse pregnancy outcomes using a smoothing mixture model |
| title_short | Maternal weight latent trajectories and associations with adverse pregnancy outcomes using a smoothing mixture model |
| title_sort | maternal weight latent trajectories and associations with adverse pregnancy outcomes using a smoothing mixture model |
| url | https://doi.org/10.1038/s41598-023-36312-z |
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