Modeling Differential Effects of Maternal Dietary Patterns across Severity Levels of Preterm Birth Using a Partial Proportional Odds Model

Mitku, Aweke A.; Zewotir, Temesgen; North, Delia; Jeena, Prakash; Naidoo, Rajen N.

doi:10.1038/s41598-020-62447-4

Cited by 9 publications

(5 citation statements)

References 45 publications

(64 reference statements)

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“…Furthermore, this type of technique is preferable to the dichotomisation of the dependent variable, which results in a loss of information and efficiency when analysing the results [56]. The proportional odds model is frequently used with health-related questionnaires, and several recent studies have associated dietary patterns with various factors using this model [57][58][59].…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing Dietary Patterns during Pregnancy in a Culturally Diverse Society

et al. 2020

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The aim of this study was to identify dietary patterns in pregnant women and to assess the relationships between sociodemographic, lifestyle-related, and pregnancy-related factors. This is a descriptive, correlational study involving 306 pregnant women in Melilla (Spain) in any trimester of pregnancy. A validated food frequency questionnaire was used. Dietary patterns were determined via exploratory factor analysis and ordinal logistic regression using the proportional odds model. Three dietary patterns were identified: Western, mixed, and prudent. Sociodemographic, lifestyle-related, and pregnancy-related factors influencing dietary quality were established. The Western dietary pattern was considered the least recommended despite being the most common among women who live in Melilla (p = 0.03), are Christian (p = 0.01), are primiparous women (p < 0.001), and are in their first or second trimester (p = 0.02). Unemployed pregnant women were also more likely to have a less healthy dietary pattern (β = −0.716; p = 0.040). The prudent dietary pattern, the healthiest of the three, was most commonly observed among Muslim women (p = 0.01), women with more than two children (p < 0.001), and women in the third trimester of pregnancy (p = 0.02). Pregnant women who engaged in no physical activity or a low level of physical activity displayed a mixed pattern (p < 0.001). This study provides evidence on the factors influencing dietary patterns during pregnancy and suggests that more specific nutrition programmes should be developed to improve the nutritional status of pregnant women.

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Section: Discussionmentioning

confidence: 99%

Factors Influencing Dietary Patterns during Pregnancy in a Culturally Diverse Society

et al. 2020

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“…During the course of this exploration, it was noted that the potentially meaningful relationships were highlighted visually. This facilitates the assessment of multidimensional data simultaneously, in a single display, to ascertain the amount of variability that can be attributed to other specific variables and further has enables us to recognize the patterns and relationships between variables, which is beneficial to our model building due to the power of combining various data analytics techniques 44 .…”

Section: Discussionmentioning

confidence: 99%

Exploratory Data Analysis of Adverse Birth Outcomes and Exposure to Oxides of Nitrogen Using Interactive Parallel Coordinates Plot Technique

Mitku¹,

Zewotir²,

North³

et al. 2020

Sci Rep

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We propose that a parallel coordinates plot can be used to study multidimensional data particularly to explore discovery of patterns across the variables. this can assist researchers from the health sciences to visualize their cohort data with interactive data analysis. the study used data from Mother and child in the Environment birth cohort in Durban, South Africa for the period 2013 to 2017 retrospectively registered. In this paper, we demonstrate that the exploration of multidimensional data with parallel coordinates plot and use of brushing using different colours assists with the identification of relationships and patterns. parallel coordinates plot visualization facilitates the researcher's skills to find trends, identify outliers and perform quality checks in large multivariate data. We have identified trends in the data that provide directions for further research, and illustrated thereby the potential of parallel coordinates plot to explore patterns and relationships of prenatal oxides of nitrogen exposure with multidimensional birth outcomes. the study recognized the co-occurrence of adverse birth outcomes among infants and these infants had mothers with moderate to high level of nox exposure during pregnancy. Brushing using different colours facilitated the detection of patterns of relationships to perform basic and advanced statistical model-based analysis. Data exploration techniques are important approaches for displaying multidimensional and multivariate datasets 1 , and to demonstrate the different ways that complex interactions among variables can be identified in images 2,3. It is a method for identifying and confirming previously unknown and important patterns within data sets and an important philosophical approach to understanding one's data 4. Visual analytics is well developed for up to three variables (three-dimensional plots (3D plots)). Visual analytics for more than four covariates is complex and not well developed 5. One of the most challenging stages in multivariate data analysis is to identify patterns and associations between a set of interrelated variables. Most typical data exploratory techniques fail to visualize multidimensional data 6. The typical exploratory data analysis techniques, such as bar charts, line graphs, histograms and scatter plots suit one or two-dimensional data 7. However, visualization of complex multidimensional data is challenging for researchers. Box plots, scatter plots, heat maps, complex radial tree layout diagrams are among the most commonly used techniques to better explore multidimensional data 8. The box-and-whisker plot is also useful in bivariate analysis, as it allows comparisons between different groups that results from categorical grouping variables 9. Previous data exploration techniques relied mostly on scatter plot matrices 10. However, it is not generalizable beyond three dimensions and making multivariate associations requires a large amount of screen space. Due to this, the problem of representing multidimensional data is a difficult an...

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“…Otherwise, the increased consumption of dairy products, especially milk, as well as Cereals, eggs, and Cantonese soups' and 'Fruits, nuts, and Cantonese desserts' groups, compared with vegetable consumption, had a strong correlation with PTB [77]. When examining the effect of dietary patterns on PTB severity levels, a pattern rich in rice and nuts lowered odds of very/moderately PTB compared with late PTB or term birth, while a high dietary consumption of starch foods dietary was associated with the most severe level of PTB outcome incidence [127].…”

Section: Maternal Nutrition and Ptbmentioning

confidence: 91%

Preterm Birth and Its Association with Maternal Diet, and Placental and Neonatal Telomere Length

Lis,

Lamnisos,

Bograkou - Tzanetakou

et al. 2023

Preprint

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Preterm birth (PTB), a multi-causal syndrome, is one of the global epidemics. Maternal nutrition, but also neonatal and placental telomere length (TL), are among the factors affecting PTB risk. However, the exact relationship between these factors and the PTB outcome, remains obscure. The aim of this review, was to investigate the association between PTB, maternal nutrition and placental-infant TL. Observational studies were sought, with the keywords: maternal nutrition, placenta TL, newborn, TL, and PTB. No study was found that included all keywords simultaneously, and thus, the keywords, were searched in dyads, to reach assumptive conclusions. The findings show that maternal nutrition affects PTB risk, through its influence on maternal TL. On the other hand, maternal TL independently affects PTB risk, and at the same time PTB is a major determinant of offspring TL regulation. The strength of the associations and the extent of the influence from covariates, remains to be elucidated in future research. Furthermore, the question of whether maternal TL, is simply a biomarker of maternal nutritional status and PTB risk, or a causative factor of PTB, to date, remains to be answered.

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Modeling Differential Effects of Maternal Dietary Patterns across Severity Levels of Preterm Birth Using a Partial Proportional Odds Model

Abstract: of a model (such as the partial proportional odds model) that considers the differential effect of dietary patterns across the severity levels of preterm birth.

Cited by 9 publications

References 45 publications

Factors Influencing Dietary Patterns during Pregnancy in a Culturally Diverse Society

Factors Influencing Dietary Patterns during Pregnancy in a Culturally Diverse Society

Exploratory Data Analysis of Adverse Birth Outcomes and Exposure to Oxides of Nitrogen Using Interactive Parallel Coordinates Plot Technique

Preterm Birth and Its Association with Maternal Diet, and Placental and Neonatal Telomere Length

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