Introduction: High prevalence of overweight and obesity already observed in preschool children suggests the involvement of early-life risk factors. Preconception period and pregnancy are crucial windows for the implementation of child obesity prevention interventions with parental lifestyle factors as relevant targets. So far, most studies have evaluated their role separately, with only a few having investigated their potential synergistic effect on childhood obesity. Our objective was to investigate parental lifestyle patterns in the preconception and pregnancy periods and their association with the risk of child overweight after 5 years.
Materials and methods: We harmonized and interpreted results from four European mother-offspring cohorts participating in the EndObesity Consortium [EDEN, France; Elfe, France; Lifeways, Ireland; and Generation R, Netherlands] with data available for 1,900, 18,000, 1,100, and 9,500 families, respectively. Lifestyle factors were collected using questionnaires and included parental smoking, body mass index (BMI), gestational weight gain, diet, physical activity, and sedentary behavior. We applied principal component analyses to identify parental lifestyle patterns in preconception and pregnancy. Their association with risk of overweight (including obesity; OW-OB) and BMI z-scores between 5 and 12 years were assessed using cohort-specific multivariable logistic and linear and regression models (adjusted for potential confounders including parental age, education level, employment status, geographic origin, parity, and household income).
Results: Among the various lifestyle patterns derived in all cohorts, the two explaining the most variance were characterized by (1) “high parental smoking, low maternal diet quality (and high maternal sedentary behavior in some cohorts)” and, (2) “high parental BMI and low gestational weight gain.” Patterns characterized by high parental BMI, smoking, low diet quality or high sedentary lifestyle before or during pregnancy were associated with higher risk of OW-OB in children, and BMI z-score at any age, with consistent strengths of associations in the main cohorts, except for lifeways.
Conclusion: This project provides insight into how combined parental lifestyle factors in the preconception and pregnancy periods are associated with the future risk of child obesity. These findings are valuable to inform family-based and multi-behavioural child obesity prevention strategies in early life.
Background: Motivating proper nutrition during childhood is the basis for optimal health, learning, productivity, and social wellbeing throughout life. Stunting is among the major public health problems. According to the Ethiopian mini demographic and health survey, the prevalence of stunting among under five children was 37%. In addition, stunting has a trans-generational effect on a mother’s nutritional status. However, evidence on the causal contribution of maternal employment to stunting among under five children is not well understood in Ethiopia. This study aimed to compare the stunting status and associated factors among under five children of employed and unemployed mothers in the Gurage Zone, Southern Ethiopia, in 2021. A community-based comparative cross-sectional study was conducted among 671 (330 employed and 341 unemployed) randomly selected mother–child pairs in the Gurage Zone, Southern Ethiopia. A pretested semi-structured tool and validated anthropometric measurements were used to collect the data. The data were entered into Epi Data version 3.1 and exported to Statistical Package for Social Science (SPSS) version 23.0 for analysis. Frequency, percent, mean, median, and SD were computed and presented by using tables and figures. A bivariable and multivariable binary logistic regression analysis was conducted to assess the association between factors and outcome variables.
Results: In this study, a total of 671 mother–child pairs (330 (94.60%) employed and 341 (97.70%) unemployed) participated, with a total response rate of 96%. Among the total participants, about 70 (21.2%) [95% CI: (17.0, 25.5)] and 98 (28.8%) [95% CI: (23.0, 33.4)] of children of employed and unemployed mothers, respectively, were stunted. Mothers’ level of education, primary and secondary [AOR = 1.79, 95% CI: (0.8, 3.7), age between 25 and 29 years [AOR = 0.08, 95% CI: (0.006, 0.904)], monthly family income > 5,000 birr [AOR = 0.42, 95% CI: (0.00, 0.64)], and children aged between 6 and 23 months [AOR = 2.9; 95% CI: (1.48, 5.80)] were predictors of stunting among the children of employed mothers. Compared to the mothers who did not receive nutritional education [AOR = 2.5; 95% CI: (1.10, 5.60)], monthly family income of 2,000 ETB [AOR = 2.64; 95% CI: (1.34, 5.19)], sex of child (girl) [AOR = 2.3; 95% CI: (1.30, 3.80), and mothers educational status of read-and-write only [AOR = 2.9, 95% CI: (1.40, 5.80)] were predictors of stunting among the children of unemployed mothers. The nutrition intervention should focus on encouraging women’s education as it increases the probability of being employed, improving the income of families by using different income-generating strategies, and strengthening the existing essential nutrition counseling strategy. Likewise, further research work on the difference between employed and unemployed mothers on stunting status is also recommended to researchers.
Dietary pattern is excellent in reflecting an individual's eating conditions. Longitudinal data on fetal growth can reflect the process of intrauterine growth. We aimed to evaluate the associations between maternal dietary patterns and intrauterine parameters in middle and late pregnancy. The present study was conducted within Jiangsu Birth Cohort (JBC) study. Dietary information was assessed with a food frequency questionnaire (FFQ) in the second and third trimester of gestation. B-ultrasound scans were performed to obtain fetal intrauterine parameters, including head circumference (HC), femur length (FL), abdominal circumference (AC), and estimated fetal weight (EFW). Exploratory factor analysis was used to extract dietary patterns. Multiple linear regression and linear mixed-effects model (LMM) were used to investigate the association between maternal dietary patterns and fetal growth. A total of 1,936 pregnant women were eligible for the study. We observed inverse associations of maternal “Vegetables and fish” and “Snack and less eggs” patterns during mid-pregnancy with fetal HC Z-score, respectively (“Vegetables and fish”: β = −0.09, 95% CI −0.12, −0.06; “Snack and less eggs”: β = −0.05, 95% CI −0.08, −0.02). On the contrary, “Animal internal organs, thallophyte and shellfish” pattern in the second trimester was associated with increased HC Z-scores (β = 0.04, 95% CI 0.02, 0.06). Consistently, score increase in “Vegetables and fish” pattern in the third trimester was inversely associated with the Z-scores of HC (β = −0.05, 95% CI −0.09, −0.02), while “Meat and less nuts” pattern was positively correlated with the Z-scores of HC (β = 0.04, 95% CI 0.02, 0.07). As compared to the fetus whose mothers at the lowest tertile of “Snack and less eggs” pattern in both trimesters, those whose mothers at the highest tertile demonstrated 1.08 fold (RR = 2.10, 95% CI 1.34–3.28) increased risk of small HC for gestational age (GA). No correlation was observed between maternal dietary patterns and other intrauterine parameters. Our results suggested the effects of maternal dietary patterns on fetal growth, particularly HC. These findings highlighted the adverse impact of unhealthy dietary pattern on fetal growth, might provide evidence for strategies to prevent intrauterine dysplasia and dietary guidelines during pregnancy.
Frontiers in Nutrition
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