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Research Article

Effect of homemade peanut oil consumption during pregnancy on low birth weight and preterm birth outcomes: a cohort study in Southwestern China

ORCID Icon, , , , & ORCID Icon
Article: 2336312 | Received 30 Aug 2023, Accepted 25 Mar 2024, Published online: 17 Apr 2024

Figures & data

Figure 1. Study flow diagram of the cohort study.

Figure 1. Study flow diagram of the cohort study.

Table 1. Demographic characteristics of study women who currently consumed and did not consume homemade peanut oil.

Table 2. Behavioral factors and obstetric information of study women who consumed homemade peanut oil and not.

Table 3. Birth outcomes of study women who currently consumed and did not consume homemade peanut oil.

Figure 2. The DAGs showing the related confounders of homemade peanut oil and LBW (a) and PB (b).

DSGs showing different relationship pathways of homemade peanut oil consumption with low birth weight (LBW) or preterm birth (PB) are adjusted by other variables (created in a browser-based environment, DAGitty: https://www.dagitty.net). In the DAGs, each circle represents a node of one variable (blue circle with vertical line = main outcome; green circle with triangle = main exposure; blank blue circle = mediating circle or ancestor of outcome; blank orange circle = confounding or biasing variable). The green line with arrows indicates the only unidirectional causal pathway that comes from main exposure to main outcome; orange and pink lines with arrows indicate unidirectional causal pathways. DAG = directed acyclic graph.
Figure 2. The DAGs showing the related confounders of homemade peanut oil and LBW (a) and PB (b).

Table 4. Direct and total effects of exposure to homemade peanut oil consumption on LBW and PB.

Figure 3. Factors associated with low birth weight using a multiple logistic regression model.

Figure 3. Factors associated with low birth weight using a multiple logistic regression model.

Figure 4. Factors associated with preterm using a multiple logistic regression model.

Figure 4. Factors associated with preterm using a multiple logistic regression model.