scholarly journals Diet quality and genetic association with body mass index: results from 3 observational studies

2018 ◽  
Vol 108 (6) ◽  
pp. 1291-1300 ◽  
Author(s):  
Ming Ding ◽  
Christina Ellervik ◽  
Tao Huang ◽  
Majken K Jensen ◽  
Gary C Curhan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Central Nervous System ◽  
Nervous System ◽  
Genetic Association ◽  
Body Mass ◽  
Diet Quality ◽  
Genetic Predisposition ◽  
Healthy Eating Index ◽  
Dietary Quality ◽  
Diet Score

ABSTRACT Background It is unknown whether dietary quality modifies genetic association with body mass index (BMI). Objective This study examined whether dietary quality modifies genetic association with BMI. Design We calculated 3 diet quality scores including the Alternative Healthy Eating Index 2010 (AHEI-2010), the Alternative Mediterranean Diet score (AMED), and the Dietary Approach to Stop Hypertension (DASH) diet score. We examined the interactions of a genetic risk score (GRS) based on 97 BMI-associated variants with the 3 diet quality scores on BMI in 30,904 participants from 3 large cohorts. Results We found significant interactions between total GRS and all 3 diet scores on BMI assessed after 2–3 y, with an attenuated genetic effect observed in individuals with healthier diets (AHEI: P-interaction = 0.003; AMED: P = 0.001; DASH: P = 0.004). For example, the difference in BMI (kg/m2) per 10-unit increment of the GRS was smaller among participants in the highest tertile of AHEI score compared with those in the lowest tertile (0.84; 95% CI: 0.72, 0.96 compared with 1.14; 95% CI: 0.99, 1.29). Results were consistent across the 3 cohorts with no significant heterogeneity. The interactions with diet scores on BMI appeared more significant for central nervous system GRSs (P < 0.01 for 3 diet scores) than for non–central nervous system GRSs (P > 0.05 for 3 diet scores). Conclusions A higher diet quality attenuated genetic predisposition to obesity. These findings underscore the importance of maintaining a healthful diet for the prevention of obesity, particularly for those individuals with a strong genetic predisposition to obesity. This trial was registered with the Clinical Trial Registry as NCT03577639.

Abstract P108: Metabolic Profile Of Diet Quality In The Multi-Ethnic Study Of Atherosclerosis

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Meghana Gadgil ◽  
Alexis F Wood ◽  
Ibrahim Karaman ◽  
Goncalo Gomes Da Graca ◽  
Ioanna Tzoulaki ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Diet Quality ◽  
Spectral Feature ◽  
Healthy Eating Index ◽  
Dietary Guidelines ◽  
Elastic Net ◽  
Dietary Quality ◽  
Spectral Features ◽  
Ethnic Study ◽  
Diet Score

Introduction: Poor dietary quality is a well-known risk factor for diabetes and cardiovascular disease (CVD), however metabolites marking adherence to U.S. dietary guidelines are unknown. Our goal was to determine a pattern of metabolites associated with the Healthy Eating Index-2015 (HEI-2015). We hypothesize that there will be metabolites positively and negatively associated with the HEI-2015 score, including those previously linked to diabetes and CVD. Methods: Sample: 2269 adult men and women from the Multi-Ethnic Study of Atherosclerosis (MESA) longitudinal cohort study without known cardiovascular disease or diabetes. Data/specimens: Fasting serum specimens, diet and demographic questionnaires at baseline. Metabolomics: Untargeted 1 H NMR CPMG spectroscopy (600 MHz) annotated by internal and external reference data sets. Statistical analysis: Metabolome-wide association study (MWAS) using linear regression models specifying each spectral feature as the outcome in separate models, HEI-2015 score as the predictor, and adjustment for age, sex, race, and study site, accounting for multiple comparisons. Elastic net regularized regression was used to select an optimal subset of features associated with HEI-2015 score. Separately, hierarchical clustering defined discrete groups of correlated NMR features also tested for association with HEI-2015 score. Results: MWAS identified 1914 spectral features significantly associated with the HEI-2015 diet score. After elastic net regression, 35 metabolomic spectral features remained associated with HEI-2015 diet score. Cluster analysis identified seven clusters, three of which were significantly associated with HEI-2015 score after Bonferroni correction. (Table) Conclusions: Cholesterol moieties, proline betaine, proline/glutamate and fatty acyls chains were significantly associated with higher diet quality in the MESA cohort. Further analysis may clarify the link between dietary quality, metabolites, and pathogenesis of diabetes and CVD.

scholarly journals Birth weight modifies the association between central nervous system gene variation and adult body mass index

2015 ◽  
Vol 61 (3) ◽  
pp. 193-198 ◽  
Author(s):  
Edward A Ruiz-Narváez ◽  
Stephen A Haddad ◽  
Lynn Rosenberg ◽  
Julie R Palmer
Keyword(s):  
Body Mass Index ◽  
Central Nervous System ◽  
Nervous System ◽  
Birth Weight ◽  
Body Mass ◽  
Gene Variation ◽  
Adult Body Mass ◽  
Adult Body ◽  
Adult Body Mass Index

scholarly journals The Interplay Between Diet Quality and Pre-pregnancy Body Mass Index on Glycemic Parameters in Pregnancy: A Comparison of Various Diet Quality Scores (OR35-02-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Karen Lindsay ◽  
Claudia Buss ◽  
Sonja Entringer ◽  
Pathik Wadhwa
Keyword(s):  
Body Mass Index ◽  
Glycemic Control ◽  
Pregnant Women ◽  
Body Mass ◽  
Diet Quality ◽  
Healthy Eating Index ◽  
Quality Score ◽  
Obese Women ◽  
Interaction Term ◽  
In Pregnancy

Abstract Objectives Nutrition in pregnancy plays an important role in maintaining glycemic control but there is no consensus on how to characterize maternal diet quality with respect to glycemic outcomes. The objective of this study is to compare the associations between 4 indices of diet quality with biomarkers of glycemic control (insulin, homeostasis model of insulin resistance (HOMA-IR)) in pregnancy, and to determine whether associations vary as a function of pre-pregnancy body mass index (pBMI). Methods In a prospective longitudinal study of N = 220 pregnant women, dietary intakes were assessed at 3 time points across gestation by 3 × 24h-diet recalls per assessment, from which 4 validated diet quality scores were derived: Dietary Approaches to Stop Hypertension (DASH), Alternative Healthy Eating Index for Pregnancy (AHEI-P), Mediterranean Diet Score (MDS), Dietary Inflammatory Index (DII). Fasting blood samples collected at each assessment were assayed for insulin and glucose and HOMA-IR was computed. pBMI was computed from self-reported pre-pregnancy weight and measured height. Linear regression models predicting mean pregnancy values of insulin and HOMA-IR by diet quality score and pBMI and the diet quality*pBMI interaction term were computed. Results pBMI is strongly predictive of insulin and HOMA-IR and each diet quality score exerts similar significant main effects on glycemic parameters (Table 1). Only the DII*pBMI interaction term was significantly associated with insulin and HOMA-IR (Table 2). Figures 1A and 1B depict that the effect of DII on glycemic control is most pronounced for women with a pBMI < 25.0 Kg/m2, while levels among overweight and obese women remain relatively stable regardless of the inflammatory profile of the diet. Neither DASH, MDS or AHEI-P showed a significant effect on glycemic markers when analyzed as a function of pBMI. Conclusions Although each of the examined diet quality scores may serve as crude predictors of glycemic control in pregnancy, only the DII detected significant differential effects as a function of pBMI. A more pro-inflammatory diet in normal weight pregnant women may exert a stronger influence on glycemic control compared to overweight and obese women, likely attributed to the overriding effects of excess adiposity on dysglycemia. Funding Sources National Institutes of Health: NICHD, NIMHD, NIMH. Supporting Tables, Images and/or Graphs

scholarly journals Prenatal Characteristics of Infants with a Neuronal Migration Disorder: A National-Based Study

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Estelle Naumburg ◽  
Bo Strömberg ◽  
Helle Kieler
Keyword(s):  
Body Mass Index ◽  
Central Nervous System ◽  
Nervous System ◽  
Body Mass ◽  
Neuronal Migration ◽  
Epidemiological Studies ◽  
Maternal Body Mass Index ◽  
Fetal Life ◽  
The Central Nervous System ◽  
The Impact

The development of the central nervous system is complex and includes dorsal and ventral induction, neuronal proliferation, and neuronal migration, organization, and myelination. Migration occurs in humans in early fetal life. Pathogenesis of malformations of the central nervous system includes both genetic and environmental factors. Few epidemiological studies have addressed the impact of prenatal exposures. All infants born alive and included in the Swedish Medical Birth Register 1980–1999 were included in the study. By linkage to the Patient Register, 820 children with a diagnosis related to a neuronal migration abnormality were identified. Through copies of referrals for computer tomography or magnetic resonance imaging of the brain, the diagnosis was confirmed in 17 children. Median age of the mothers was 29 years. At the start of pregnancy, four out of 17 women smoked. Almost half of the women had a body mass index that is low or in the lower range of average. All infants were born at term with normal birth weights. Thirteen infants had one or more concomitant diseases or malformations. Two infants were born with rubella syndrome. The impact of low maternal body mass index and congenital infections on neuronal migration disorders in infants should be addressed in future studies.

scholarly journals Relationship between body mass index and simple visual reaction time in students of a medical college of Nepal

2020 ◽  
Vol 1 (2) ◽  
pp. 14-18
Author(s):  
Neeti Bhat ◽  
Narayan Bahadur Mahotra ◽  
Lava Shrestha ◽  
Vibina Aryal ◽  
Nirmala Rayamajhi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Central Nervous System ◽  
Nervous System ◽  
Reaction Time ◽  
Body Mass ◽  
The Body ◽  
Visual Reaction Time ◽  
Cross Sectional ◽  
Visual Reaction ◽  
The Central Nervous System

Introduction: Obesity is a chronic condition with an increase in adipose tissues. It is known to affect various systems of body including the central nervous system. Reaction time is a measure of the integrity of the central nervous system which is an integrated voluntary response to a stimulus that includes receiving and processing of stimulus, drawing inference, and generating a motor response. This study was conducted with the objective of finding a relationship between body mass index, a measure of obesity and simple visual reaction time. Materials and methods: This cross-sectional analytical study was conducted on 60 participants aged 18-25 years. The body mass index of participants was calculated using Quetelet’s index, calculated by weight in kilograms divided by square of height in meter. Deary-Liewald reaction time task software version 3.10 was used to analyze their simple visual reaction time. Correlation of reaction time and body mass index was assessed using Pearson’s correlation test. Results: A weak positive correlation (r= 0.17) was observed between body mass index and simple visual reaction time but the correlation coefficient was not statistically significant (p=0.19). Conclusions: Slower visual reaction time with an increase in body mass index was noted. But the findings of current study were inadequate to deduce if any linear relationship exists between simple visual reaction time and body mass index.

scholarly journals The dynamic association between body mass index and cognition from midlife through late-life, and the effect of sex and genetic influences

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ida K. Karlsson ◽  
Margaret Gatz ◽  
Thalida Em Arpawong ◽  
Anna K. Dahl Aslan ◽  
Chandra A. Reynolds
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Genetic Predisposition ◽  
Cognitive Abilities ◽  
Late Life ◽  
Change Score ◽  
Reciprocal Relationship ◽  
European Ancestry ◽  
Negative Effects ◽  
Dynamic Relationship

AbstractBody mass index (BMI) is associated with cognitive abilities, but the nature of the relationship remains largely unexplored. We aimed to investigate the bidirectional relationship from midlife through late-life, while considering sex differences and genetic predisposition to higher BMI. We used data from 23,892 individuals of European ancestry from the Health and Retirement Study, with longitudinal data on BMI and three established cognitive indices: mental status, episodic memory, and their sum, called total cognition. To investigate the dynamic relationship between BMI and cognitive abilities, we applied dual change score models of change from age 50 through 89, with a breakpoint at age 65 or 70. Models were further stratified by sex and genetic predisposition to higher BMI using tertiles of a polygenic score for BMI (PGSBMI). We demonstrated bidirectional effects between BMI and all three cognitive indices, with higher BMI contributing to steeper decline in cognitive abilities in both midlife and late-life, and higher cognitive abilities contributing to less decline in BMI in late-life. The effects of BMI on change in cognitive abilities were more evident in men compared to women, and among those in the lowest tertile of the PGSBMI compared to those in the highest tertile, while the effects of cognition on BMI were similar across groups. In conclusion, these findings highlight a reciprocal relationship between BMI and cognitive abilities, indicating that the negative effects of a higher BMI persist from midlife through late-life, and that weight-loss in late-life may be driven by cognitive decline.

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