Dietary Energy Density is Associated with Body Mass Index and Fat Mass in Early Adulthood

2019 ◽  
pp. 105477381988319
Author(s):  
María Correa-Rodríguez ◽  
Emilio González-Jiménez ◽  
Ángel Fernández-Aparicio ◽  
Jose Luis Gómez-Urquiza ◽  
Jacqueline Schmidt-RioValle ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Body Composition ◽  
Energy Density ◽  
Body Mass ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Dietary Energy ◽  
Mass Percent ◽  
Dietary Energy Density

A cross-sectional study was conducted to investigate the association between body composition parameters as well as body mass index (BMI), and dietary energy density in a population of 538 young adults. Fat mass, fat mass percent, fat-free mass, and visceral fat were measured using a body composition analyzer. Daily energy intake was assessed using a 72-hr diet recall, and dietary energy density was calculated. Significant differences in dietary energy density among underweight, normal-weight and overweight/obesity young adults were identified ( M = 1.42, SD = 0.26 vs. M = 1.52, SD = 0.46 vs. M = 1.66, SD = 0.53, p = .002). Dietary energy density was associated with BMI (β = .961; CI 95% = 0.335, 1.586; p = .0030), fat mass percent (β = 1.921; CI 95% = 0.707, 3.135; p = .002), and fat mass (β = 2.146; CI 95% = 0.827, 3.466; p = .001). Dietary energy density might be considered as an important aspect in the obesity nutritional education programs in young people.

scholarly journals Higher Usual Energy Intake, Body Mass, Body Mass Index, and Fat Free Mass Index Are Associated with Lower Attrition from an Arduous Military Selection Course (P23-005-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Emily Farina ◽  
Lauren Thompson ◽  
Joseph Knapik ◽  
Stefan Pasiakos ◽  
James McClung ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Strength Training ◽  
Aerobic Exercise ◽  
Energy Intake ◽  
Body Mass ◽  
Fat Mass ◽  
Smokeless Tobacco ◽  
Fat Free Mass ◽  
Energy Deficit

Abstract Objectives To determine whether usual energy intake and body composition are associated with attrition from an arduous military selection course characterized by energy deficit and strenuous physical events, including fitness tests, loaded road marches, runs, land navigation, and an obstacle course. Methods Energy intake and body composition were assessed in U.S. Army Soldiers (n = 776) at the start of a military assessment and selection course. Usual energy intake (kcal) over the previous year was estimated from a 127-item Block food frequency questionnaire. Body composition measures, including body mass (kg), body mass index (BMI, body mass in kg/height in m2), fat free mass index (FFMI, fat free mass in kg/height in m2), and fat mass index (FMI, fat mass in kg/height in m2) were assessed by calibrated scale and 3-site skinfold caliper measures. Associations between energy intake, body composition, and demographics were determined with analysis of variance. Logistic regression was used to determine likelihood of attrition [odds ratio (OR), 95% confidence interval (CI)] based on quartiles of energy intake and body composition. Models were adjusted for age, education, duration of aerobic exercise, duration of strength training, smoking status, and smokeless tobacco use. Results Soldiers that were younger (18–24 y), engaged in longer duration of aerobic exercise (≥200 min/wk) and strength training (≥400 min/wk), had more education (≥some college), and were smokeless tobacco users had higher energy intakes (P < 0.05). Higher energy intake was associated with higher body mass and FFMI (P < 0.05). After adjustment, Soldiers with higher energy intake, body mass, BMI, and FFMI were less likely to fail the strenuous course (Q1 vs. Q2, Q3, and Q4: OR range = 0.25–0.54; 95% CI lower bound range = 0.15–0.33; 95% CI upper bound range = 0.46–0.87). FMI was not associated with attrition. Conclusions Optimization of body composition by adequate consumption of calories prior to a physically demanding military selection course may be associated with reduced attrition. Funding Sources Supported by U.S. Army Medical Research and Materiel Command. The opinions or assertions contained herein are the private views of the authors and are not to be construed as official or reflecting the views of the Army or the Department of Defense. Supporting Tables, Images and/or Graphs

scholarly journals An Increase in Fat Mass Index Predicts a Deterioration of Running Speed

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 701 ◽  
Author(s):  
Laurence Genton ◽  
Julie Mareschal ◽  
Véronique L. Karsegard ◽  
Najate Achamrah ◽  
Marta Delsoglio ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
High Body Mass Index ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Running Speed ◽  
Fat Mass Index ◽  
Running Performance

A low fat mass is associated with a good running performance. This study explores whether modifications in body composition predicted changes in running speed. We included people who underwent several measurements of body composition by bioelectrical impedance analysis between 1999 and 2016, at the “Course de l’Escalade”, taking place yearly in Geneva. Body composition was reported as a fat-free mass index (FFMI) and fat mass index (FMI). Running distances (men: 7.2 km; women: 4.8 km) and running times were used to calculate speed in km/h. We performed multivariate linear mixed regression models to determine whether modifications of body mass index, FFMI, FMI or the combination of FFMI and FMI predicted changes in running speed. The study population included 377 women (1419 observations) and 509 men (2161 observations). Changes in running speed were best predicted by the combination of FFMI and FMI. Running speed improved with a reduction of FMI in both sexes (women: ß −0.31; 95% CI −0.35 to −0.27, p < 0.001. men: ß −0.43; 95% CI −0.48 to −0.39, p < 0.001) and a reduction of FFMI in men (ß −0.20; 95% CI −0.26 to −0.15, p < 0.001). Adjusted for body composition, the decline in running performance occurred from 50 years onward, but appeared earlier with a body mass, FFMI or FMI above the median value at baseline. Changes of running speed are determined mostly by changes in FMI. The decline in running performance occurs from 50 years onward but appears earlier in people with a high body mass index, FFMI or FMI at baseline.

scholarly journals The Association of Dietary Energy Density and Body Composition Components in a Sample of Iranian Adults

2021 ◽  
Vol 8 ◽  
Author(s):  
Elham Bazshahi ◽  
Sanaz Pourreza ◽  
Hossein Imani ◽  
Leila Azadbakht ◽  
Mojdeh Ebaditabar ◽  
...  
Keyword(s):  
Body Composition ◽  
Fatty Acid ◽  
Energy Density ◽  
Abdominal Obesity ◽  
Strong Association ◽  
Fat Free Mass ◽  
Dietary Quality ◽  
Dietary Energy ◽  
Anthropometric Indices ◽  
Dietary Energy Density

Background: We aimed to investigate the association between the energy density (ED) of diet and body composition components in Iranian adults.Methods: We conducted a cross-sectional study on 267 adults in Tehran. We obtained ED (kcal/g) using the two most common methods: ED1, ED from foods only with the exclusion of all beverages and ED2, from foods and all beverages. Body composition was measured using a multifrequency bio-impedance analysis. To find a strong association, we used both the linear and binary regression analysis in the three adjusted models.Results: The mean of ED1 and ED2 was 1.34 ± 0.23 and 0.89 ± 0.20 kcal/g, respectively. Increasing the ED of diet in both methods was associated with a high intake of dietary fat, of saturated fatty acid (SFA), of monounsaturated fatty acid (MUFA), of polyunsaturated fatty acid (PUFA), of oleic and linoleic acids, accompanied by a low intake of fruits, vegetables, and some vitamins and minerals. There was a significant positive relationship between fat-free mass index (FFMI) and ED1 (β = 4.44, p = 0.02). However, we found no significant association between the consumption of ED1 and fat mass index (FMI) (0.28; 95% CI 0.08, 0.98; p = 0.07), and abdominal obesity (0.91; 95% CI 0.43, 1.94; p = 0.82). Also, ED2 had no association with FMI (0.86; 95% CI 0.26, 2.80; p = 0.81) and abdominal obesity (0.78; 95% CI 0.35, 1.72; p = 0.54). No significant associations were found between ED and other anthropometric indices and body composition components after considering the confounders.Conclusion: This study supports the positive association between ED and poor dietary quality. However, our findings did not show significant associations of dietary energy density (DED) with anthropometric indices and body composition components. Further well-designed studies are required to investigate the exact link between DED and body composition.

Effects of Aerobic Plus Resistance Exercise on Body Composition Related Variables in Pediatric Obesity: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

2015 ◽  
Vol 27 (4) ◽  
pp. 431-440 ◽  
Author(s):  
Antonio García-Hermoso ◽  
Mairena Sánchez-López ◽  
Vicente Martínez-Vizcaíno
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Weight ◽  
Resistance Exercise ◽  
Body Mass ◽  
Fat Mass ◽  
Meta Analysis ◽  
Fat Free Mass ◽  
Exercise Interventions ◽  
Obese Youth

The purpose of this meta-analysis of randomized trials was to determine the effectiveness of aerobic plus resistance exercise interventions on body composition related to variables in overweight and obese youth. A computerized search was made of 7 databases. The analysis was restricted to randomized controlled trials that examined the effect of aerobic and resistance exercise on body composition (body weight, body mass index, fat mass, fat-free mass, and waist circumference) in obese youth. Two independent reviewers screened studies and extracted data. Weighted mean differences (WMD) and 95% confidence intervals were calculated. Nine studies were selected for meta-analysis as they fulfilled the inclusion criteria (n = 365). Aerobic plus resistance exercise interventions (8–24 weeks duration) produced a decrease in body weight (WMD=-3.31 kg), body mass index (WMD=-1.05 kg/m2), and fat mass (WMD=-1.93% and 5.05 kg), but changes in fatfree mass and waist circumference were not observed. These changes were accentuated through programs of at least 60 min of exercise per session, generating greater reductions in body weight (WMD=-4.11 kg), fat mass (WMD=-4.07%), and increase in fat-free mass (WMD = 2.45 kg). This meta-analysis provides insight into the effectiveness of short-term aerobic plus resistance exercise interventions for decreasing body weight, body mass index, and fat mass in pediatric obesity.

Body Image, Body Mass Index, and Body Composition: In Young Adults

2012 ◽  
Vol 73 (2) ◽  
pp. 78-83 ◽  
Author(s):  
Veronica M. Streeter ◽  
Robin R. Milhausen ◽  
Andrea C. Buchholz
Keyword(s):  
Body Mass Index ◽  
Body Image ◽  
Young Adults ◽  
Body Composition ◽  
Body Mass ◽  
Body Esteem ◽  
The Body ◽  
Fat Free Mass ◽  
Healthy Weight ◽  
External Attribution

Purpose: Associations were examined between body image and body mass index (BMI) in comparison with body composition in healthy weight, overweight, and obese young adults. Methods: Weight and height were determined, and the percentage of fat mass (%FM) and percentage of fat-free mass (%FFM) were measured by dual energy X-ray absorptiometry in 75 male and 87 female young adults (21.1 ± 1.9 years; 25.2 ± 4.4 kg/m2 [mean ± standard deviation]). Body image was measured using the three subscales Weight Esteem, Appearance Esteem, and External Attribution of the Body-Esteem Scale for Adolescents and Adults (BESAA). Results: Body mass index and %FM were highly correlated (r for males = 0.74, r for females = 0.82; both p<0.001), and were inversely associated with body image, particularly Weight Esteem. After adjustment for physical activity, BMI and %FM (and %FFM, although in the opposite direction) were associated with each BESAA subscale: %FM, %FFM, and BMI explained 12% to14% of the variance in Appearance Esteem for both sexes, 33% to 41% in Weight Esteem in women and 16% to 18% in men, and 8% to 10% in External Attribution in women (all p<0.05) and <5% for men (NS). Conclusions: Clinicians should be aware that as their clients’ BMI and %FM increase, body image decreases, particularly in women.

scholarly journals Body Mass Index, Lean Mass, and Body Fat Percentage as Mediators of the Relationship between Milk Consumption and Bone Health in Young Adults

Nutrients ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2500 ◽  
Author(s):  
Ana Torres-Costoso ◽  
Purificación López-Muñoz ◽  
Asunción Ferri-Morales ◽  
Elisabeth Bravo-Morales ◽  
Vicente Martínez-Vizcaíno ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Bone Health ◽  
Milk Consumption ◽  
Mineral Density ◽  
Total Body ◽  
The Relationship

Identifying environmental factors that influence bone health is crucial for developing effective intervention strategies that maximize peak bone mass. The aim of this study was to estimate the relationship between milk consumption and bone mineral density (BMD) in young adults, and to examine whether this relationship is mediated by body mass index (BMI) and total lean and fat mass. A cross-sectional study involving college students (n = 239) from a Spanish public university was performed. Data on milk consumption and anthropometric and body composition variables were collected. The Pearson correlation coefficients among total body BMD, body composition variables, and milk consumption ranged from −0.111 to −1.171, most of them statistically significant (p < 0.05). The ANCOVA (analysis of covariance) models showed that those with higher regular milk consumption had less total body BMD than those with lower regular milk consumption (p < 0.05), even after controlling for different sets of confounders. In the mediation analysis, BMI and lean and fat mass turned out to act as full mediators of the relationship between regular milk consumption and total body BMD (z = −1.7148, −1.3208, and −1.8549, respectively; p ≤ 0.05). In conclusion, milk consumption, per se, does not seem to have a direct effect on bone development, because its association seems to be fully mediated by body composition variables in young adults.

scholarly journals Dietary energy density is associated with body mass index‐for‐age in Mexican adolescents

2018 ◽  
Vol 15 (2) ◽  
pp. e12664 ◽  
Author(s):  
Andrea Arango‐Angarita ◽  
Teresa Shamah‐Levy ◽  
Sonia Rodríguez‐Ramírez
Keyword(s):  
Body Mass Index ◽  
Energy Density ◽  
Body Mass ◽  
Dietary Energy ◽  
Dietary Energy Density ◽  
Mexican Adolescents

scholarly journals Dietary energy density is positively associated with body composition of adults in Southwest China

2018 ◽  
Vol 21 (10) ◽  
pp. 1827-1834 ◽  
Author(s):  
Jun Yin ◽  
Hong-mei Xue ◽  
Yuan-yuan Chen ◽  
Xiao Zhang ◽  
Li-ming Quan ◽  
...  
Keyword(s):  
Body Composition ◽  
Energy Density ◽  
Southwest China ◽  
Positive Association ◽  
Fat Free Mass ◽  
Unit Weight ◽  
Dietary Energy ◽  
Chinese Adults ◽  
Percentage Body Fat ◽  
Dietary Energy Density

AbstractObjectiveDietary energy density (ED) might have influences on body composition. We therefore examined whether ED is associated with body composition among Chinese adults.DesignWe collected dietary data through validated two-day 24 h recalls. ED, defined as the amount of energy per unit weight of food consumed, was calculated based on five methods. Multiple linear regression analyses were performed to explore the associations between ED and body composition parameters, including BMI, fat mass index (FMI), fat-free mass index (FFMI), percentage body fat (%BF) and waist circumference (WC).SettingSouthwest China.SubjectsChinese adults (n 1933) in 2013.ResultsAfter adjusting the covariates, all ED definitions were positively associated with BMI, FMI, FFMI, %BF and WC among women (P<0·01). In men, however, ED with foods only was positively associated with BMI, FMI, FFMI and %BF (P<0·05), but not with WC (P=0·07); we also found null associations between ED with foods and all beverages and body composition among men. Additionally, ED contributed to higher increases of body composition in women than in men (P<0·01).ConclusionsThe present study supports the positive association between ED and body composition among adults in Southwest China, in which beverages may play an important role.

scholarly journals Associations of body composition and physical fitness with gestational diabetes and cardiovascular health in pregnancy: Results from the HealthyMoms trial

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pontus Henriksson ◽  
Johanna Sandborg ◽  
Emmie Söderström ◽  
Marja H. Leppänen ◽  
Victoria Snekkenes ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Gestational Diabetes ◽  
Body Mass ◽  
Cardiorespiratory Fitness ◽  
Fat Mass ◽  
Cardiovascular Health ◽  
Handgrip Strength ◽  
Fat Free Mass ◽  
Fat Mass Index

AbstractThe aim of this study was to examine associations of body composition (fat mass index, % fat mass, fat-free mass index, body mass index) and physical fitness (cardiorespiratory fitness and handgrip strength) with gestational diabetes and cardiovascular health in early pregnancy. This cross-sectional study utilized baseline data (n = 303) collected in early pregnancy from the HealthyMoms trial. Body composition was measured using air-displacement plethysmography, cardiorespiratory fitness was assessed by means of the 6-min walk test and handgrip strength using a dynamometer. Logistic regression was used to estimate odds ratios (ORs) for gestational diabetes as well as high (defined as 1 SD above the mean) blood pressure, homeostatic model assessment for insulin resistance (HOMA-IR), and metabolic syndrome score (MetS score) per 1 SD increase in body composition and fitness variables. Fat mass index, % fat mass and body mass index were all strongly associated with gestational diabetes (ORs: 1.72–2.14, P ≤ 0.003), HOMA-IR (ORs: 3.01–3.80, P < 0.001), blood pressure (ORs: 1.81–2.05, P < 0.001) and MetS score (ORs: 3.29–3.71, P < 0.001). Associations with fat-free mass index were considerably weaker (ORs: 1.26–1.82, P = 0.001–0.15) and were strongly attenuated after adjustments for fat mass index (ORs: 0.88–1.54, P = 0.039–0.68). Finally, greater cardiorespiratory fitness was associated with lower risk of high HOMA-IR and MetS score (ORs: 0.57–0.63, P  ≤ 0.004) although these associations were attenuated when accounting for fat mass index (ORs: 1.08-1.11, P ≥ 0.61). In conclusion, accurately measured fat mass index or % fat mass were strongly associated with gestational diabetes risk and markers of cardiovascular health although associations were not stronger than the corresponding ones for body mass index. Fat-free mass index had only weak associations with gestational diabetes and cardiovascular health which support that the focus during clinical care would be on excess fat mass and not fat-free mass.

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