Dataset Information

Pregestational BMI and higher offspring's risk of overweight/obesity in smoker and non-smoker mothers.

ABSTRACT:

Objective

To assess the association between pregestational BMI and offspring's risk of overweight/obesity after accounting for the most important confounders, especially maternal smoking habit.

Design

Prospective cohort study.

Setting

The Seguimiento Universidad de Navarra (SUN) study is a prospective cohort of Spanish graduates with more than 22 000 participants nationwide. Recruitment started in 1999, and it is permanently open. Data on diet, lifestyle and clinical diagnoses are collected at baseline and every 2 years.

Participants

Women from the SUN cohort who reported at least one pregnancy during follow-up (n 3496) were invited to this study. Among them, 1527 agreed to participate and completed an additional more detailed online questionnaire on their pregnancy history and their offspring's nutritional status.

Results

After excluding 165 children, we analysed data of 2791 participants born to 1485 mothers and observed that each 5 kg/m2 increase in pregestational BMI was associated with a 0·22 (95 % CI 0·15, 0·29) higher z-score in offspring's BMI and higher risk of overweight/obesity (multivariable-adjusted relative risk (RR) 1·57 (95 % CI 1·39, 1·77)) in childhood or adolescence. Furthermore, we observed stronger association in children born to smoker mothers (RR 1·91; 95 % CI 1·48, 2·46) than from non-smoker mothers (RR 1·51; 95 % CI 1·31, 1·73) (Pfor interaction = 0·02).

Conclusions

We found a synergistic interaction between pregestational BMI and maternal smoking habit on offspring's z-score of the BMI and in their risk of overweight/obesity. Although further research is needed to analyse dose-response relationships, these findings reinforce the importance of promoting healthy lifestyles in pregnant women in order to prevent childhood obesity.

SUBMITTER: Martin-Calvo N

PROVIDER: S-EPMC10195346 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Pregestational BMI and higher offspring's risk of overweight/obesity in smoker and non-smoker mothers.

Martín-Calvo Nerea N Santiago Neri Susana S Segura Gloria G Fernandez-Lazaro Cesar I CI Barbería-Latasa María M Martínez-González Miguel-Ángel MÁ

Public health nutrition 20201218 13

<h4>Objective</h4>To assess the association between pregestational BMI and offspring's risk of overweight/obesity after accounting for the most important confounders, especially maternal smoking habit.<h4>Design</h4>Prospective cohort study.<h4>Setting</h4>The Seguimiento Universidad de Navarra (SUN) study is a prospective cohort of Spanish graduates with more than 22 000 participants nationwide. Recruitment started in 1999, and it is permanently open. Data on diet, lifestyle and clinical diagno ...[more]

PMID: 33336642

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Project description:BackgroundOverweight and obesity in mothers before pregnancy lead to overweight and obesity in their offspring, which is the main form of intergenerational transmission of overweight and obesity in early life. Many factors, especially non-genetic factors, may influence intergenerational transmission, but little prediction research has been conducted. Therefore, we analyzed the status of intergenerational transmission in maternal and infant overweight and obesity. Second, we explored the factors during the pregnancy that might affect the the intergenerational transmission; According to the two application scenarios of pregnancy screen and self-management, risk prediction models for pregnant women were carried out.MethodsBased on a prospective birth cohort, a total of 908 mothers and offspring were followed up during early life. Follow-up visits were performed at the first trimester, second trimester, third trimester, delivery, 42 days after delivery, and 6 months and 12 months of age. The investigation methods included questionnaire survey, physical examination, biological sample collection and clinical data collection. In terms of risk prediction, univariate analysis was used to screen candidate predictors. Second, multivariable Cox proportional hazard regression models were used to determine the final selected predictors. Third, the corresponding histogram models were drawn, and then the 10-fold cross-validation methods were used for internal verification.ResultsRegarding intergenerational transmission of overweight and obesity between mothers and infants during pregnancy, the risk prediction model for pregnancy screen was constructed. The model established: h(t|X) = h0(t)exp.(- 0.95 × (Bachelor Degree or above) + 0.75 × (Fasting blood glucose in the second trimester) + 0.89 × (Blood pressure in the third trimester) + 0.80 × (Cholesterol in third trimester) + 0.55 × (Abdominal circumference in third trimester))., with good discrimination (AUC = 0.82) and calibration (Hosmer-Lemeshow2 = 4.17). The risk prediction model for self-management was constructed. The model established: h(t|X) = h0(t)exp. (0.98 × (Sedentary >18METs) + 0.88 × (Sleep index≥8) + 0.81 × (Unhealthy eating patterns Q3/Q4) + 0.90 × (Unhealthy eating patterns Q4/Q4) + 0.85 × (Depression)), with good discrimination (AUC = 0.75) and calibration (Hosmer-Lemeshow2 = 3.81).ConclusionsThe risk predictions of intergenerational transmission of overweight and obesity between mothers and infants were performed for two populations and two application scenarios (pregnancy screening and home self-management). Further research needs to focus on infants and long-term risk prediction models.

Project description:The obesity epidemic is a global challenge, and the velocity of propagation is high in the population at reproductive age. Overweight and obesity during pregnancy have been associated with high birth weight and an increased risk of childhood obesity, reinforcing the risk of other non-communicable diseases. Obesity involves chronic low-grade systemic inflammation. New biomarkers for early detection of obesity risk are urgently required. The aim of this study was to identify the connection between pregestational BMI (pre-BMI) status and inflammatory biomarkers during the third trimester of pregnancy and their association with intestinal microbiota composition. Fifty-four pregnant women were classified according to pre-pregnancy BMI as normoweight, overweight, or obese. Weight gain, inflammatory biomarkers (hs_CRP, haptoglobin, and suPAR), and microbiota composition were assessed during the third trimester. A significant lower weight gain for obese mothers and a positive correlation between pre-BMI and inflammatory biomarkers were detected (Spearman's correlation). Haptoglobin levels were significantly higher in overweight and obese mothers. Higher Firmicutes levels and a higher ratio Firmicutes/Bacteroidetes were observed in the overweight and obese subjects. High hs_CRP and haptoglobin levels were also correlated with decreased microbiota diversity (Shannon index), whereas haptoglobin and hs_CRP values were correlated with several microbiota components, such as Ruminococcus gnavus and Faecalibacterium, and with specific phyla in the normoweight and overweight mothers; no significant associations with microbiota were found for suPAR. In conclusion, haptoglobin and hs_CRP reflected pregestational BMI status and related microbiota components, but haptoglobin was a better biomarker for microbiota associated with overweight. suPAR was associated with low grade inflammation dependent on pre-pregnancy BMI, but it was not related to deviated microbiota profiles.

Project description:ObjectiveTo determine the relation between overweight and obesity in mothers and preterm birth and low birth weight in singleton pregnancies in developed and developing countries.DesignSystematic review and meta-analyses.Data sourcesMedline and Embase from their inceptions, and reference lists of identified articles.Study selectionStudies including a reference group of women with normal body mass index that assessed the effect of overweight and obesity on two primary outcomes: preterm birth (before 37 weeks) and low birth weight (<2500 g).Data extractionTwo assessors independently reviewed titles, abstracts, and full articles, extracted data using a piloted data collection form, and assessed quality.Data synthesis84 studies (64 cohort and 20 case-control) were included, totalling 1 095 834 women. Although the overall risk of preterm birth was similar in overweight and obese women and women of normal weight, the risk of induced preterm birth was increased in overweight and obese women (relative risk 1.30, 95% confidence interval 1.23 to 1.37). Although overall the risk of having an infant of low birth weight was decreased in overweight and obese women (0.84, 0.75 to 0.95), the decrease was greater in developing countries than in developed countries (0.58, 0.47 to 0.71 v 0.90, 0.79 to 1.01). After accounting for publication bias, the apparent protective effect of overweight and obesity on low birth weight disappeared with the addition of imputed "missing" studies (0.95, 0.85 to 1.07), whereas the risk of preterm birth appeared significantly higher in overweight and obese women (1.24, 1.13 to 1.37).ConclusionsOverweight and obese women have increased risks of preterm birth and induced preterm birth and, after accounting for publication bias, appeared to have increased risks of preterm birth overall. The beneficial effects of maternal overweight and obesity on low birth weight were greater in developing countries and disappeared after accounting for publication bias.

Dataset Information

Pregestational BMI and higher offspring's risk of overweight/obesity in smoker and non-smoker mothers.

Objective

Design

Setting

Participants

Results

Conclusions

Publications

Pregestational BMI and higher offspring's risk of overweight/obesity in smoker and non-smoker mothers.

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