Dataset Information

Associations between body mass index and body composition measures in a birth cohort.

ABSTRACT:

Background

Associations among body composition measures have been limited to cross-sectional analyses of different subjects. We identified cross-sectional relationships between body mass index (BMI) and other body composition measures and predicted body composition measures from BMI throughout childhood and adolescence.

Methods

BMI was calculated and % body fat (%BF), fat mass index (FMI), and fat-free mass index (FFMI) were measured using dual-energy x-ray absorptiometry at ages 5, 9, 11, 13, 15, and 17 years in a birth cohort (n = 629). Sex-specific body composition measures were calculated for BMI-for-age percentiles; associations between BMI and body composition measures were characterized; and body composition measures were predicted from BMI.

Results

%BF, FMI, and FFMI generally increased with BMI-for-age percentiles at each age. Correlations between BMI and %BF or FMI were generally higher at BMI-for-age percentiles ≥95% than for lower BMI-for-age percentiles. Correlations between BMI and FFMI were generally higher for participants at very low and very high BMI-for-age percentiles than at moderate BMI-for-age percentiles. Age- and sex-specific predictions from BMI are provided for %BF, FM, and FFMI.

Conclusions

Sex-specific body composition measures throughout childhood and adolescence are presented. BMI is a better indicator of adiposity at higher than at lower BMI values.

Impact

Sex-specific body composition measures throughout childhood and adolescence are described. % BF, FMI, and FFMI generally increased with BMI-for-age percentiles for both sexes throughout childhood and adolescence. BMI is a better indicator of adiposity at higher BMI levels than at lower BMI values throughout childhood and adolescence.

SUBMITTER: Marshall TA

PROVIDER: S-EPMC8578575 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Publications

Associations between body mass index and body composition measures in a birth cohort.

Marshall Teresa A TA Curtis Alexandra M AM Cavanaugh Joseph E JE Warren John J JJ Levy Steven M SM

Pediatric research 20210510 6

<h4>Background</h4>Associations among body composition measures have been limited to cross-sectional analyses of different subjects. We identified cross-sectional relationships between body mass index (BMI) and other body composition measures and predicted body composition measures from BMI throughout childhood and adolescence.<h4>Methods</h4>BMI was calculated and % body fat (%BF), fat mass index (FMI), and fat-free mass index (FFMI) were measured using dual-energy x-ray absorptiometry at ages ...[more]

PMID: 33972687

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Project description:Background/objectiveBody mass index (BMI) is a surrogate measure of adiposity but does not distinguish fat from lean or bone mass. The genetic determinants of BMI are thought to predominantly influence adiposity but this has not been confirmed. Here we characterise the association between BMI-related genetic variants and body composition in adults.Subjects/methodsAmong 9667 adults aged 29-64 years from the Fenland study, a genetic risk score for BMI (BMI-GRS) was calculated for each individual as the weighted sum of BMI-increasing alleles across 96 reported BMI-related variants. Associations between the BMI-GRS and body composition, estimated by dual-energy X-ray absorptiometry (DXA) scans, were examined using age-adjusted linear regression models, separately by sex.ResultsThe BMI-GRS was positively associated with all fat, lean and bone variables. Across body regions, associations of the greatest magnitude were observed for adiposity variables, for example, for each s.d. increase in BMI-GRS predicted BMI, we observed a 0.90 s.d. (95% confidence interval (CI): 0.71, 1.09) increase in total fat mass for men (P=3.75 × 10-21) and a 0.96 s.d. (95% CI: 0.77, 1.16) increase for women (P=6.12 × 10-22). Associations of intermediate magnitude were observed with lean variables, for example, total lean mass: men: 0.68 s.d. (95% CI: 0.49, 0.86; P=1.91 × 10-12); women: 0.85 s.d. (95% CI: 0.65, 1.04; P=2.66 × 10-17) and of a lower magnitude with bone variables, for example, total bone mass: men: 0.39 s.d. (95% CI: 0.20, 0.58; P=5.69 × 10-5); women: 0.45 s.d. (95% CI: 0.26, 0.65; P=3.96 × 106). Nominally significant associations with BMI were observed for 28 single-nucleotide polymorphisms. All 28 were positively associated with fat mass and 13 showed adipose-specific effects.ConclusionsIn adults, genetic susceptibility to elevated BMI influences adiposity more than lean or bone mass. This mirrors the association between BMI and body composition. The BMI-GRS can be used to model the effects of measured BMI and adiposity on health and other outcomes.

Project description:BackgroundThe CHRNA5-CHRNA3-CHRNB4 gene cluster on 15q25 has consistently been associated with smoking quantity, nicotine dependence and lung cancer. Recent research also points towards its involvement in cardiovascular homeostasis, but studies in large human samples are lacking, especially on the role of the gene cluster in blood pressure regulation.Methodology/principal findingsWe studied the associations between 18 single nucleotide polymorphisms (SNPs) in CHRNA5-CHRNA3-CHRNB4 and systolic blood pressure (SBP), diastolic blood pressure (DBP), and body mass index (BMI) in 5402 young adults from the Northern Finland Birth Cohort 1966. We observed some evidence for associations between two SNPs and SBP and between six SNPs and BMI; the evidence for associations with DBP was weaker. The associations with the three phenotypes were driven by different loci with low linkage disequilibrium with each other. The associations appeared more pronounced in smokers, such that the smoking-increasing alleles would predict lower SBP and BMI. Each additional copy of the rs1948 G-allele and the rs950776 A-allele reduced SBP on average by -1.21 (95% CI -2.01, -0.40) mmHg in smokers. The variants associated with BMI included rs2036534, rs6495309, rs1996371, rs6495314, rs4887077 and rs11638372 and had an average effect size of -0.38 (-0.68, -0.08) kg/m(2) per an additional copy of the risk allele in smokers. Formal assessments of interactions provided weaker support for these findings, especially after adjustment for multiple testing.ConclusionsVariation at 15q25 appears to interact with smoking status in influencing SBP and BMI. The genetic loci associated with SBP were in low linkage disequilibrium with those associated with BMI suggesting that the gene cluster might regulate SBP through biological mechanisms that partly differ from those regulating BMI. Further studies in larger samples are needed for more precise evaluation of the possible interactions, and to understand the mechanisms behind.

Project description:IntroductionHuman milk provides all macronutrients for growth, bioactive compounds, micro-organisms and immunological components, which potentially interacts with and primes infant growth and, development, immune responses and the gut microbiota of the new-born. Infants with an overweight mother are more likely to become overweight later in life and overweight has been related to the gut microbiome. Therefore, it is important to investigate the mother-milk-infant triad as a biological system and if the maternal weight status influences the human milk composition, infant metabolism and gut microbiome.Methods and analysisThis study aims to include 200 mother-infant dyads stratified into one of three body mass index (BMI) categories based on mother's prepregnancy BMI. Multiomics analyses include metabolomics, proteomics, glycomics and microbiomics methods, aiming to characterise human milk from the mothers and further relate the composition to infant gut microbiota and its metabolic impact in the infant. Infant gut microbiota is analysed using 16S sequencing of faeces samples. Nuclear magnetic resonance and mass spectrometry are used for the remaining omics analysis. We investigate whether maternal pre-pregnancy BMI results in a distinct human milk composition that potentially affects the initial priming of the infant's gut environment and metabolism early in life.Ethics and disseminationThe Central Denmark Region Committees on Health Research Ethics has approved the protocol (J-nr. 1-10-72-296-18). All participants have before inclusion signed informed consent and deputy informed consent in accordance with the Declaration of Helsinki II. Results will be disseminated to health professionals including paediatricians, research community, nutritional policymakers, industry and finally the public. The scientific community will be informed via peer-reviewed publications and presentations at scientific conferences, the industry will be invited for meetings, and the public will be informed via reports in science magazines and the general press. Data cleared for personal data, will be deposited at public data repositories.Trial registration numberDanish regional committee of the Central Jutland Region, journal number: 1-10-72-296-18, version 6.Danish Data Protection Agency, journal number: 2016-051-000001, 1304.Clinicaltrialsgov, identifier: NCT05111990.

Project description:ImportanceMaternal obesity, pregestational type 1 diabetes, and gestational diabetes have been reported to increase the risks for large birth weight and preterm birth in offspring. However, the associations for insulin-treated diabetes and non-insulin-treated type 2 diabetes, as well as the associations for joint diabetes disorders and maternal body mass index, with these outcomes are less well documented.ObjectiveTo examine associations of maternal diabetes disorders, separately and together with maternal underweight or obesity, with the offspring being large for gestational age and/or preterm at birth.Design, setting, and participantsThis population-based cohort study used nationwide registries to examine all live births (n = 649 043) between January 1, 2004, and December 31, 2014, in Finland. The study and data analysis were conducted from April 1, 2018, to October 10, 2018.ExposuresMaternal prepregnancy body mass index, pregestational diabetes with insulin treatment, pregestational type 2 diabetes without insulin treatment, and gestational diabetes.Main outcomes and measuresOffspring large for gestational age (LGA) at birth and preterm delivery. Logistic regression models were adjusted for offspring birth year; parity; and maternal age, country of birth, and smoking status.ResultsOf the 649 043 births, 4000 (0.62%) were delivered by mothers who had insulin-treated diabetes, 3740 (0.57%) by mothers who had type 2 diabetes, and 98 568 (15.2%) by mothers who had gestational diabetes. The mean (SD) age of mothers was 30.15 (5.37) years, and 588 100 mothers (90.6%) were born in Finland. Statistically significant interactions existed between maternal body mass index and diabetes on offspring LGA and prematurity (insulin-treated diabetes: LGA F = 3489.0 and prematurity F = 1316.4 [P < .001]; type 2 diabetes: LGA F = 147.3 and prematurity F = 21.9 [P < .001]; gestational diabetes: LGA F = 1374.6 and prematurity F = 434.3 [P < .001]). Maternal moderate obesity, compared with normal-weight mothers with no diabetes, was associated with a mildly increased risk of having an offspring LGA (1069 [3.5%] vs 5151 [1.5%]; adjusted odds ratio [aOR], 2.45; 95% CI, 2.29-2.62), and mothers with insulin-treated diabetes had markedly elevated risks of having an offspring LGA (1585 [39.6%] vs 5151 [1.5%]; aOR, 43.80; 95% CI, 40.88-46.93) and a preterm birth (1483 [37.1%] vs 17 481 [5.0%]; aOR, 11.17; 95% CI, 10.46-11.93). Mothers who were moderately obese with type 2 diabetes were at increased risks of LGA (132 [16.4%] vs 5151 [1.5%]; aOR, 12.44; 95% CI, 10.29-15.03) and prematurity (83 [10.3%] vs 17 481 [5.0%]; aOR, 2.14; 95% CI, 1.70-2.69). Mothers who were moderately obese with gestational diabetes had a milder risk of LGA (1195 [6.7%] vs 5151 [1.5%]; aOR, 4.72; 95% CI, 4.42-5.04). Among spontaneous deliveries, the risks were strongest for moderately preterm births, but insulin-treated diabetes was associated with an increased risk also for very and extremely preterm births.Conclusions and relevanceMaternal insulin-treated diabetes appeared to be associated with markedly increased risks for LGA and preterm births, whereas obesity in mothers with type 2 diabetes had mild to moderately increased risks; these findings may have implications for counseling and managing pregnancies.

Dataset Information

Associations between body mass index and body composition measures in a birth cohort.

Background

Methods

Results

Conclusions

Impact

Publications

Associations between body mass index and body composition measures in a birth cohort.

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