scholarly journals Pre-Pregnancy Diet Quality Is Associated with Lowering the Risk of Offspring Obesity and Underweight: Finding from a Prospective Cohort Study

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1044
Author(s):  
Dereje G. Gete ◽  
Michael Waller ◽  
Gita D. Mishra

Maternal diet plays a critical role in epigenetic changes and the establishment of the gut microbiome in the fetus, which has been associated with weight outcomes in offspring. This study examined the association between maternal diet quality before pregnancy and childhood body mass index (BMI) in offspring. There were 1936 mothers with 3391 children included from the Australian Longitudinal Study on Women’s Health (ALSWH) and the Mothers and their Children’s Health (MatCH) study. Maternal dietary intakes were assessed using a semi-quantitative and validated 101-item food-frequency questionnaire (FFQ). The healthy eating index (HEI-2015) score was used to explore preconception diet quality. Childhood BMI was categorized as underweight, normal, overweight, and obese based on sex and age-specific BMI classifications for children. Multinomial logistic regression with cluster-robust standard errors was used for analyses. Greater adherence to maternal diet quality before pregnancy was associated with a lower risk of offspring being underweight after adjustment for potential confounders, highest vs. lowest quartile (relative risk ratio (RRR) = 0.68, 95% confidence interval (CI): 0.49, 0.96). Higher adherence to preconception diet quality was also inversely linked with the risk of childhood obesity (RRR = 0.49, 95% CI: 0.24, 0.98). This association was, however, slightly attenuated by pre-pregnancy BMI in the full adjusted model. Sodium intake was significantly associated with decreased risk of childhood overweight and obesity (RRR = 0.18, 95% CI: 0.14, 0.23) and (RRR = 0.21, 95% CI: 0.17, 0.26), respectively. No significant association was detected between preconception diet quality and offspring being overweight. This study suggests that better adherence to maternal diet quality before pregnancy is associated with a reduced risk of childhood underweight and obesity.

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 408-408
Author(s):  
Dereje Gete ◽  
Michael Waller ◽  
Gita Mishra

Abstract Objectives To examine the association between maternal diet quality before pregnancy and childhood BMI in offspring. Methods We included 1936 mothers with 3391 children from the Australian Longitudinal Study on Women's Health (ALSWH) and the Mothers and their Children's Health study (MatCH). Maternal diet was assessed using a semi-quantitative and validated 101-item food-frequency questionnaire (FFQ). We used the healthy eating index (HEI-2015) score to explore maternal diet quality before pregnancy. Children over 2 years of age were categorized as underweight, normal, overweight, and obese based on age and sex-specific BMI classifications for children. Multinomial logistic regression with cluster-robust standard errors was used for analyses. Results Greater adherence to maternal diet quality before pregnancy was associated with a lower risk of offspring underweight after adjustment for potential confounders, highest vs lowest quartile (RRR = 0.68, 95% CI: 0.49, 0.96). Higher adherence to pre-pregnancy diet quality was also inversely associated with the risk of offspring obesity (RRR = 0.49, 95% CI: 0.24, 0.98). This association was, however, slightly attenuated by pre-pregnancy body mass index (BMI) in the full adjusted model. No significant association was observed between pre-pregnancy diet quality and offspring overweight. Conclusions This study suggests that better adherence to maternal diet quality before pregnancy is associated with a reduced risk of childhood underweight and obesity. Funding Sources The ALSWH is funded by the Australian Government Department of Health. MatCH is funded by the National Health and Medical Research Council (NHMRC) project grant. Dereje Gete is supported by the University of Queensland Research Training Scholarship. Gita Mishra holds the Australian Health and Medical Research Council Principal Research Fellowship.


2020 ◽  
Vol 25 (2) ◽  
pp. 189-198
Author(s):  
Ismael San Mauro Martin ◽  
Elena Garicano Vilar ◽  
Paula Mendive Dubourdieu ◽  
Victor Paredes Barato ◽  
Cristina Garagarza ◽  
...  

Introduction: Certain weight management methods may be associated with unhealthy dietary intakes, skewing toward certain dietary components and lacking others. Management of weight should not ignore the quality of the diet, as both obesity and poor diet are associated with higher risk of chronic disease. Objective: To conduct a diet quality and exercise scan and observe their repercussion on BMI, in adults from Spain, Portugal, Uruguay and Mexico. Material and methods:An observational retrospective cohort study was designed, with 1181 adults aged 18-65 years. HEI-2010 score was used to assess diet quality. Data on type, days a week and hours/day of exercise, and participant’s anthropometric measures were collected.Results: The mean HEI-2010 score was 65.21. There were no statistically significant differences between HEI-2010 score and BMI [p=0.706], BMI and days of exercise per week [p=0.151], BMI and hours/day of exercise [p=0.590] and BMI and being active [>3 days/week] [p=0.106]. On the contrary, overall exercise influenced BMI significantly [p<0.001]. Conclusions: Dietary patterns may help to prevent weight gain and fight overweight and obesity. This study, however, did not observe associations between the quality of the diet nor specifics of exercise with lower BMIs. The quality of the diet of adults in Spain, Portugal, Uruguay and Mexico fell short of recommendations.


Nutrients ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 3231
Author(s):  
Véronique Gingras ◽  
Karen M. Switkowski ◽  
Sheryl L. Rifas-Shiman ◽  
Sabrina Faleschini ◽  
Emily Oken ◽  
...  

Parental feeding practices have been associated with children’s dietary intakes, yet the directionality of these associations remains unclear. Among 1172 mother-child pairs from Project Viva, we aimed to examine associations of parental concerns and feeding behaviors at 2 years (behaviors dichotomized as yes vs. no), with diet quality (Youth Healthy Eating Index; YHEI) in early (mean 3.2, SD 0.3 years; n = 1076) and mid-childhood (mean 7.8, SD 0.7 years; n = 993). We used multivariable linear regression models adjusted for sociodemographic characteristics, parental body mass index (BMI), maternal diet quality in pregnancy, and child’s BMI z-score and diet quality at 2 years. Early parental concerns about their child becoming overweight (15%) was associated with lower YHEI (β −1.54 points; 95%CI −2.75, −0.33; fully adjusted model) in early childhood. Early parental concerns about their child becoming underweight (7%) was associated with lower YHEI (−2.19 points; −4.31, −0.07) in early childhood, but the association was attenuated after adjustment for child’s BMI z-score and diet quality at 2 years. We did not find associations of parental restrictive feeding (8%) and parental pressure to eat (47%) with child’s YHEI through mid-childhood. In conclusion, we found no evidence that early parental concerns and feeding behaviors independently contribute to child’s diet quality through childhood.


2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Leonie Helen Bogl ◽  
Susannne Strohmaier ◽  
Heather Eliassen ◽  
Jennifer Massa ◽  
Alison Field ◽  
...  

AbstractIntroductionAnimal studies suggest that maternal diet during pregnancy influences susceptibility to obesity in the next generation. One-carbon nutrients involved in epigenetic processes represent a possible underlying mechanism. Unfortunately, there is limited research in humans to support animal findings, and the few studies available have been limited to birth defects and weight outcomes in early infancy. The aim of this project was to examine the associations between maternal diet (diet quality indicators and one-carbon nutrients) during the period surrounding pregnancy and long-term weight outcomes in the offspring.MethodsWe examined 2,729 mother-child pairs from the Nurses’ Health Study II and the offspring cohort Growing Up Today Study 2 (GUTS 2). Children, 12–14 years at baseline were 21–23 years at the last follow-up. Overweight was defined for youth less than 18 years of age using sex- and age-specific body mass index (BMI) cut-offs recommended by the International Obesity Task Force and for those 18 years or older as BMI ≥ 25 kg/m2. Dietary information was collected by a validated 131-item food frequency questionnaire (FFQ) and questions on supplement use. Maternal dietary patterns were calculated from FFQs using three diet quality scores – the alternate Healthy Eating Index (aHEI), Alternate Mediterranean Diet (aMED) and Dietary Approach to Stop Hypertension (DASH). Log-binomial models were used to estimate relative risks (RRs) and 95% confidence intervals.ResultsIn models adjusted for sex, gestational age at delivery and maternal total energy intake, greater maternal adherence to aMED and DASH, but not aHEI, was associated with lower overweight risk in the offspring (RRQ5 vs Q1 = 0.82 [0.70–0.97] for aMED and 0.86 [0.72–1.04] for DASH) (P for trend < 0.05 for both). After additional adjustment for maternal pre-pregnancy BMI and socio-demographic characteristic, none of the diet quality scores was significantly associated with child's birth weight or overweight risk during follow-up. Analysis with one-carbon nutrients are ongoing; we hypothesize that children born to mothers with greater intake of one-carbon nutrients have a lower risk of developing overweight compared to children of mothers with lower intake of these nutrients.ConclusionsMaternal diet quality indices during pregnancy were not associated with child's birth weight or the risk of developing overweight at ages 12 to 23 years. Further research on maternal dietary intake during pregnancy is warranted because pregnancy offers a window of opportunity to promote behavioral change that may program the health of the next generation.


2020 ◽  
Vol 11 (2) ◽  
pp. 96-102
Author(s):  
Krishna Mohandas ◽  
L. Prema

The food habits of global population has been evolving in such a way that makes unhealthy foods cheaper and widely available and healthy foods costly and less available. Being surrounded by such foods and living in an environment with lesser requirement for physical activity is the primary reason for the pandemic explosion in overweight and obesity. This study is an attempt to analyze the quality of diet with an aim to study the significance of Alternate Healthy Eating Index (AHEI) in predicting the quality of dietary intake. Methodology: The study was conducted in 66 respondents (44 females and 22 males) aged 18-65 years with BMI between 23 kg/m2 to 50 kg/m2. The respondent’s data were collected using a pretested standard questionnaire. The nutrient consumption was calculated from the 24 hour recall and the AHEI scores were derived from recall and food use frequency data. The data were analysed using SAS software. Results: The intake of Energy, protein, fat and carbohydrates were more than their requirement while intake of fibre was not meeting the requirement. The AHEI scores obtained ranged from 36 to 76 with a mean value of 55.6 ± 9.54. A positive linear association for AHEI with BMI (0.0362) and energy intake (0.13) was established through Pearson’s correlation while the association was negative with BMR (-0.14). Paired t test comparing AHEI against the difference between intake and requirement of macronutrients revealed that when the diet quality was good (as indicated by AHEI>51), the difference in intake exhibited a significant linear relationship with p values <0.001 while no relation was established when the diet quality was poor. Conclusion: AHEI encompasses all nutrients and food groups relevant to metabolic health and it can be used as a good tool to assess the quality of dietary habits of overweight and obese subjects.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 534-534
Author(s):  
Owen Kelly ◽  
Stephanie Fanelli ◽  
Sara Thomas ◽  
Jessica Krok-Schoen ◽  
Satya Jonnalagadda ◽  
...  

Abstract Objectives Distribution of carbohydrate intakes (carb choices) throughout the day are an important aspect to diabetes management and reducing blood glucose spikes. Skipping breakfast represents a behavior of concern, providing an extension of the overnight fast and may result in elevated sugar levels later in the day. Therefore, the purpose of this study was to evaluate dietary intake differences, including carbohydrates, based on consuming breakfast or not, and by diabetes status. Methods Adults over 30 years from NHANES 2005–2016 were classified into nondiabetes (HbA1c &lt;5.7%, n = 14,701), prediabetes (HbA1c 5.7–6.4%, n = 5855) and diabetes (HbA1c (≥6.5%, n = 2881). Dietary intakes were assessed using a multiple pass 24-hour recall to estimate intakes from the foods and beverages reported as consumed on the day prior to the NHANES visit. Breakfast was self-defined by participants. Total population-based means (95% CI) of nutrient intakes, MyPlate equivalents, and Healthy Eating Index 2015 scores from the day of intake were calculated across levels of glycemic control and skipping breakfast status. Results Across all groups, adults who reported breakfast consumption had a significantly better overall diet quality, while total intakes of whole grains and fiber were significantly lower in those who skipped breakfast. Intakes of added sugars were not significantly different between those who skipped versus consumed breakfast. Conclusions The absence of breakfast on the day of intake was related to differential intakes of several nutrients related to healthy eating and glycemic management, resulting in a poorer overall diet quality. Healthcare professionals could evaluate meal skipping patterns and its impact on overall nutrient intakes, and the distribution of food intake throughout the day, in people with diabetes, to help improve disease management. Funding Sources Abbott Nutrition.


2016 ◽  
Vol 19 (12) ◽  
pp. 2268-2277 ◽  
Author(s):  
Leia M Minaker ◽  
Dana L Olstad ◽  
Mary E Thompson ◽  
Kim D Raine ◽  
Pat Fisher ◽  
...  

AbstractObjectiveThe present study aimed to: (i) examine associations between food store patronage and diet and weight-related outcomes; and (ii) explore consumer motivations for visiting different types of food store.DesignA stratified probability sample of residents completed household and individual-level surveys in 2009/2010 on food purchasing patterns and motivations, dietary intake, waist circumference (WC), weight and height. Diet quality was calculated using the Healthy Eating Index for Canada from a subset of participants (n 1362). Generalized estimating equations were created in 2015 to examine how frequency of patronizing different types of food store was associated with diet quality, intake of fruits and vegetable, mean intake of energy (kcal) sodium and saturated fat, WC and BMI.SettingThree mid-sized urban municipalities in Ontario, Canada.SubjectsA representative sample of residents (n 4574).ResultsParticipants who shopped frequently at food co-ops had significantly better diet quality (β=5·3; 99 % CI 0·3, 10·2) than those who did not. BMI and WC were significantly lower among those who frequently shopped at specialty shops (BMI, β=−2·1; 99 % CI −3·0, −1·1; WC, β=−4·8; 99 % CI −7·0, −2·5) and farmers’ markets (BMI, β=−1·4; 99 % CI −2·3, −0·5; WC, β=−3·8; 99 % CI −6·0, −1·6) compared with those who did not. Relative importance of reasons for food outlet selection differed by large (price, food quality) v. small (proximity, convenient hours) shopping trip and by outlet type.ConclusionsFindings contribute to our understanding of food store selection and have implications for potentially relevant retail food intervention settings.


Author(s):  
Supa Pengpid ◽  
Karl Peltzer

The study aimed to estimate the prevalence and correlates of overweight and obesity among adults in Iraq. Data from a 2015 nationally representative cross-sectional survey of 3,916 persons 18 years and older were analysed that responded to a questionnaire, physical and biochemical measures. Multinomial logistic regression was utilized to predict determinants of overweight and obesity relative to under or normal weight. Results indicate that 3.6% of the participants were underweight (BMI &lt;18.5 kg/m&sup2;), 30.8% had normal weight (BMI 18.5-24.9 kg/m&sup2;), 31.8% were overweight (25.0-29.9 kg/m&sup2;), and 33.9% had obesity (BMI &ge; 30.0 kg/m&sup2;). In adjusted multinomial logistic regression, aged 40-49 years (Adjusted Relative Risk Ratio-ARRR: 4.47, Confidence Interval-CI: 3.39-5.91), urban residence (ARRR: 1.28, CI: 1.14-2.18), hypertension (ARRR: 3.13, CI: 2.36-4.17) were positively, and male sex (ARRR: 0.47, CI: 0.33-0.68), having more than primary education (ARRR: 0.69, CI: 0.50-0.94), and larger household size (&ge;5 members) (ARRR: 0.45, CI: 0.33-0.60) were negativey associated with obesity. About two in three adult participants were overweight/obese, and sociodemographic and health risk factors were found that can be utilized in targeting interventions.


2020 ◽  
Vol 151 (1) ◽  
pp. 40-49 ◽  
Author(s):  
Hyunju Kim ◽  
Emily A Hu ◽  
Kari E Wong ◽  
Bing Yu ◽  
Lyn M Steffen ◽  
...  

ABSTRACT Background High diet quality is associated with a lower risk of chronic diseases. Metabolomics can be used to identify objective biomarkers of diet quality. Objectives We used metabolomics to identify serum metabolites associated with 4 diet indices and the components within these indices in 2 samples from African Americans and European Americans. Methods We studied cross-sectional associations between known metabolites and Healthy Eating Index (HEI)-2015, Alternative Healthy Eating Index (AHEI)-2010, the Dietary Approaches to Stop Hypertension Trial (DASH) diet, alternate Mediterranean diet (aMED), and their components using untargeted metabolomics in 2 samples (n1 = 1,806, n2 = 2,056) of the Atherosclerosis Risk in Communities study (aged 45–64 y at baseline). Dietary intakes were assessed using an FFQ. We used multivariable linear regression models to examine associations between diet indices and serum metabolites in each sample, adjusting for participant characteristics. Metabolites significantly associated with diet indices were meta-analyzed across 2 samples. C-statistics were calculated to examine if these candidate biomarkers improved prediction of individuals in the highest compared with lowest quintile of diet scores beyond participant characteristics. Results Seventeen unique metabolites (HEI: n = 6; AHEI: n = 5; DASH: n = 14; aMED: n = 2) were significantly associated with higher diet scores after Bonferroni correction in sample 1 and sample 2. Six of 17 significant metabolites [glycerate, N-methylproline, stachydrine, threonate, pyridoxate, 3-(4-hydroxyphenyl)lactate)] were associated with ≥1 dietary pattern. Candidate biomarkers of HEI, AHEI, and DASH distinguished individuals with highest compared with lowest quintile of diet scores beyond participant characteristics in samples 1 and 2 (P value for difference in C-statistics &lt;0.02 for all 3 diet indices). Candidate biomarkers of aMED did not improve C-statistics beyond participant characteristics (P value = 0.930). Conclusions A considerable overlap of metabolites associated with HEI, AHEI, DASH, and aMED reflects the similar food components and similar metabolic pathways involved in the metabolism of healthy diets in African Americans and European Americans.


Nutrients ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1597 ◽  
Author(s):  
Jacynthe Lafrenière ◽  
Élise Carbonneau ◽  
Catherine Laramée ◽  
Louise Corneau ◽  
Julie Robitaille ◽  
...  

The objective of this study was to identify key elements from the 2007 Canada’s Food Guide that should be included in a diet quality score aiming to reflect the risk of metabolic syndrome (MetS). Dietary intakes of 998 adults (mean age: 43.2 years, 50% women) were used to obtain the Canadian Healthy Eating Index 2007 (C-HEI 2007) and Alternative Healthy Eating Index 2010 (AHEI) scores, as well as a dietary pattern (DP) generated by the reduced rank regression (RRR) method. Based on these three scores, a modified version of the C-HEI 2007 (Modified C-HEI) was then proposed. The prevalence ratio (PR) of MetS was examined across diet quality scores using multivariate binomial regression analysis. A higher AHEI, Modified C-HEI, and a lower score for DP were all associated with a significantly lower prevalence of MetS (PR = 0.42; 95% confidence interval (CI) 0.28, 0.64; PR = 0.39; 95% CI 0.23, 0.63; and PR = 0.48; 95% CI 0.31, 0.74, respectively), whereas C-HEI 2007 was not (PR = 0.68; 95% CI 0.47, 1.00). Results suggest that a Modified C-HEI that considers key elements from the C-HEI 2007 and the AHEI, as well the DP, shows that participants with a higher score are less likely to have MetS.


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