scholarly journals Phytonutrients: A Potential Role in Obesity (P08-047-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Ryan Orgeron ◽  
Janet Pope ◽  
Dawn Erickson ◽  
Vicky Green
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Body Fat ◽  
Fruits And Vegetables ◽  
Pearson Correlation ◽  
Statistical Significance ◽  
Morbidly Obese ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Body Adiposity

Abstract Objectives The primary aim of this study was to determine if phytonutrient intake, measured by the phytonutrient index (PI), is correlated with body composition in participants in Thibodaux, Louisiana. In addition, a second aim was to examine if intake of certain phytonutrient rich foods (based on green, reddish/purple, and yellow/orange colored fruits and vegetables) correlates with body fat percentage, waist circumference, and Body Mass Index (BMI). Methods Participants Fifty (50) participants, ages18–54 selected. Exclusions were morbidly obese (BMI > 40 kg/m2) and pregnant subjects. Procedures Body adiposity was measured by waist circumference, BMI, and fat percentage. Subjects completed three pass 24-hour food recalls (two weekdays/one weekend day. Each completed FFQ to determine the intake of the specific color. Caloric intake was estimated using ESHA software and used for PI calculation. PI formula estimated how much of the subject's energy intake was from phytonutrient rich foods (phytonutrient-rich kcal/total intake kcal) × 100.Phytonutrient rich foods primarily include fruits and vegetables, but also legumes, olive oil, and wine. Pearson correlation was used to assess correlations between phytonutrient index and body adiposity measures. Background data on every participant was gathered such as age, sex, health status, and race. IBM SPSS Statistics was used to analyze the data. Results considered statistically significant if p-value < 0.05. Results The results showed a strong inverse correlation between PI and BMI (r = –0.753, P = 0.00), waist circumference (r = –0.730, P = 0.00), and body fat percentage (r = –0.701, P = 0.00). The intake of the specific phytonutrients and improved body composition did show a statistical significance. Individuals with higher weekly intakes of chlorophyll, carotenoid, and anthocyanin rich foods had better body composition in comparison to those who consumed less (P < 0.05; F > Fcrit). Participants with various health conditions had an average PI lower than the population average (38.1 + 22.1). This was true of participants with type 2 diabetes (22 + 17.7), hypertension (17.4 + 11.6), hyperlipidemia (21.6 + 19.4), and osteoarthritis (24.3 + 27.4). Conclusions The data in this study demonstrates that there is a strong correlation between higher phytonutrient intake and improved body composition (and disease prevalence). However this correlation remained consistent despite which type of phytonutrients were consumed. These findings conclude that overall diet quality seems to make the most difference, but the phytonutrients in fruits/vegetables are thought to be a key reason for those benefits. Funding Sources Louisiana Tech University. Supporting Tables, Images and/or Graphs

scholarly journals Phytonutrient intake and body composition: Considering colors

2019 ◽  
Vol 9 (2) ◽  
pp. 108 ◽  
Author(s):  
Ryan Orgeron II ◽  
Janet Pope ◽  
Vicky Green ◽  
Dawn Erickson
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Body Fat ◽  
Vegetable Intake ◽  
Pearson Correlation ◽  
Fruit And Vegetable Intake ◽  
Fruit And Vegetable ◽  
Fat Percentage ◽  
Body Adiposity ◽  
Food Recalls

Background: Being overweight or obese is one of the most harmful risk factors to the health of a population. The cause of obesity is complex and multifactorial, but the primary cause is a nutrient poor diet. Despite excess intake of calories, obese individuals commonly have a lack of phytonutrients. Phytonutrients such as chlorophyll, carotenoids, and anthocyanins have all been shown to have anti-obesity effects. National data shows that states in with the lowest intakes of fruit and vegetable intake also have higher obesity rates. The data available depicts that a low fruit and vegetable intake, thus low phytonutrient intake, is correlated with excess adiposity.Methods: Fifty subjects from Thibodaux, Louisiana were randomly selected to participate. Three 24-hour food recalls were used to calculate phytonutrient content of the diets using the phytonutrient index. A food frequency questionnaire was also administered to determine intake of specific phytonutrients (carotenoids, anthocyanins, and carotenoids). Body adiposity was measured using body mass index (BMI), waist circumference, and fat percentage. Pearson correlation was used to assess correlations between phytonutrient index and body adiposity measures. Analysis of variance (ANOVA) with post-hoc tests was used to determine differences in PI and phytonutrient intakes among the BMI, waist circumference and percent body fat groups.Results: Participants who met healthy standards for BMI, waist circumference, and fat percentage all averaged much higher PI scores compared to those classified as obese/overweight. The data showed a strong inverse relationship between PI and BMI (r = -0.753, p = 0.00), waist circumference (r = -0.730, p = 0.00), and body fat percentage (r = -0.701, p = 0.00). Higher weekly intakes of chlorophyll, carotenoid, and anthocyanin rich foods had better body composition in comparison to those who consumed less (p<0.05).Conclusion: Results suggest a strong correlation between higher phytonutrient intake and improved body composition. Overall diet quality seems to make the most difference, but phytonutrients are thought to be a key reason for those benefits

The effectiveness of technology-based distance weight loss interventions on body composition in health care: a systematic review, meta-analysis and meta-regression (Preprint)

2020 ◽  
Author(s):  
Heli Lahtio
Keyword(s):  
Systematic Review ◽  
Weight Loss ◽  
Body Composition ◽  
Waist Circumference ◽  
Body Fat ◽  
Meta Analysis ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Meta Regression ◽  
Weight Loss Interventions

BACKGROUND Overweight and obesity are major problems worldwide and they lead to an increased risk for several diseases. The use of technology in the treatment of obesity is promising, but there is considerable uncertainty regarding its efficacy in the current literature. OBJECTIVE The aim of this systematic review was to study the effectiveness of technology-based distance weight loss interventions in health care on body composition in comparison to control groups that do not use technology. The aim of the meta-regression was to evaluate the factors associated with the changes in body composition outcomes in a comprehensive PICOS -framework. METHODS Studies were searched from eight databases. The inclusion criteria were developed based on the PICOS-framework (population: 18-65 years; intervention: technology-based distance weight loss interventions; comparison: control groups without technology; outcome: BMI, waist circumference or body fat percentage; study design: randomized controlled trial). Meta-analysis and meta-regression were performed. RESULTS The meta-analysis included 30 studies. The quality of the studies was moderate (7/13). A statistically significant difference was observed in BMI (MD 0.83; 95% CI 0.51 to 1.15; P < .0001), waist circumference (MD 2.45; 95% CI 1.83 to 3.07; P < .0001), and body fat percentage (MD 1.07; 95% CI 0.74 to 1.41; P < .0001) in favor of the weight loss groups using technology. According to the findings of the meta-regression, interventions with personal feedback and higher quality of the studies may have been associated with a reduction in waist circumference and lower body fat percentage. CONCLUSIONS Technology-based distance weight loss interventions significantly reduced BMI, waist circumference, and body fat percentage. Future studies should focus on the comparability of the intervention content but also on the relations between the type of technology, behavioral change models, and biopsychosocial factors. CLINICALTRIAL This systematic review is registered in Prospero (CRD42016035831).

Comparison of the Effect of Soy protein and Whey protein on Body Composition: A Meta-Analysis of Randomized Clinical Trials

2021 ◽  
pp. 1-27
Author(s):  
Masoome Piri Damaghi ◽  
Atieh Mirzababaei ◽  
Sajjad Moradi ◽  
Elnaz Daneshzad ◽  
Atefeh Tavakoli ◽  
...  
Keyword(s):  
Body Composition ◽  
Whey Protein ◽  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Soy Protein ◽  
Protein Supplementation ◽  
Body Fat Percentage ◽  
Fat Percentage

Abstract Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.

scholarly journals Trends in obesity and adiposity measures by race or ethnicity among adults in the United States 2011-18: population based study

BMJ ◽  
2021 ◽  
pp. n365
Author(s):  
Buyun Liu ◽  
Yang Du ◽  
Yuxiao Wu ◽  
Linda G Snetselaar ◽  
Robert B Wallace ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Ethnic Groups ◽  
Body Mass ◽  
Body Fat ◽  
Lean Mass ◽  
The United States ◽  
Population Based ◽  
Body Fat Percentage ◽  
Fat Percentage

AbstractObjectiveTo examine the trends in obesity and adiposity measures, including body mass index, waist circumference, body fat percentage, and lean mass, by race or ethnicity among adults in the United States from 2011 to 2018.DesignPopulation based study.SettingNational Health and Nutrition Examination Survey (NHANES), 2011-18.ParticipantsA nationally representative sample of US adults aged 20 years or older.Main outcome measuresWeight, height, and waist circumference among adults aged 20 years or older were measured by trained technicians using standardized protocols. Obesity was defined as body mass index of 30 or higher for non-Asians and 27.5 or higher for Asians. Abdominal obesity was defined as a waist circumference of 102 cm or larger for men and 88 cm or larger for women. Body fat percentage and lean mass were measured among adults aged 20-59 years by using dual energy x ray absorptiometry.ResultsThis study included 21 399 adults from NHANES 2011-18. Body mass index was measured for 21 093 adults, waist circumference for 20 080 adults, and body fat percentage for 10 864 adults. For the overall population, age adjusted prevalence of general obesity increased from 35.4% (95% confidence interval 32.5% to 38.3%) in 2011-12 to 43.4% (39.8% to 47.0%) in 2017-18 (P for trend<0.001), and age adjusted prevalence of abdominal obesity increased from 54.5% (51.2% to 57.8%) in 2011-12 to 59.1% (55.6% to 62.7%) in 2017-18 (P for trend=0.02). Age adjusted mean body mass index increased from 28.7 (28.2 to 29.1) in 2011-12 to 29.8 (29.2 to 30.4) in 2017-18 (P for trend=0.001), and age adjusted mean waist circumference increased from 98.4 cm (97.4 to 99.5 cm) in 2011-12 to 100.5 cm (98.9 to 102.1 cm) in 2017-18 (P for trend=0.01). Significant increases were observed in body mass index and waist circumference among the Hispanic, non-Hispanic white, and non-Hispanic Asian groups (all P for trend<0.05), but not for the non-Hispanic black group. For body fat percentage, a significant increase was observed among non-Hispanic Asians (30.6%, 29.8% to 31.4% in 2011-12; 32.7%, 32.0% to 33.4% in 2017-18; P for trend=0.001), but not among other racial or ethnic groups. The age adjusted mean lean mass decreased in the non-Hispanic black group and increased in the non-Hispanic Asian group, but no statistically significant changes were found in other racial or ethnic groups.ConclusionsAmong US adults, an increasing trend was found in obesity and adiposity measures from 2011 to 2018, although disparities exist among racial or ethnic groups.

Body Mass and Body Composition Changes over 7 Years in a Male Professional Rugby Union Team

2021 ◽  
Author(s):  
Clíodhna McHugh ◽  
Karen Hind ◽  
Aoife O'Halloran ◽  
Daniel Davey ◽  
Gareth Farrell ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Lean Mass ◽  
Total Mass ◽  
Rugby Union ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Dxa Scans ◽  
Composition Changes

AbstractThe purpose of this study was to investigate longitudinal body mass and body composition changes in one professional rugby union team (n=123), (i) according to position [forwards (n=58) versus backs (n=65)], analysis of players with 6 consecutive seasons of DXA scans (n=21) and, (iii) to examine differences by playing status [academy and international], over 7 years. Players [mean age: 26.8 y, body mass index: 28.9+kg.m2] received DXA scans at fourtime points within each year. A modest (but non-significant) increase in mean total mass (0.8 kg) for professional players was reflected by increased lean mass and reduced body fat mass. At all-time points, forwards had a significantly greater total mass, lean mass and body fat percentage compared to backs (p<0.05). Academy players demonstrated increased total and lean mass and decreased body fat percentage over the first 3 years of senior rugby, although this was not significant. Senior and academy international players had greater lean mass and lower body fat percentage (p<0.05) than non-international counterparts. Despite modest increases in total mass; reflected by increased lean mass and reduced fat mass, no significant changes in body mass or body composition, irrespective of playing position were apparent over 7 years.

scholarly journals Body mass index and waist circumference are better predictors of insulin resistance than total body fat percentage in middle-aged and elderly Taiwanese

Medicine ◽  
2017 ◽  
Vol 96 (39) ◽  
pp. e8126 ◽  
Author(s):  
Yiu-Hua Cheng ◽  
Yu-Chung Tsao ◽  
I-Shiang Tzeng ◽  
Hai-Hua Chuang ◽  
Wen-Cheng Li ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Middle Aged ◽  
Fat Percentage ◽  
Total Body Fat ◽  
Total Body

The Influence of Age, Sex and Body Mass Index on the Effectiveness of Brisk Walking for Obesity Management in Adults: A Systematic Review and Meta-Analysis

2017 ◽  
Vol 14 (5) ◽  
pp. 389-407 ◽  
Author(s):  
Leon Mabire ◽  
Ramakrishnan Mani ◽  
Lizhou Liu ◽  
Hilda Mulligan ◽  
David Baxter
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Waist Circumference ◽  
Body Fat ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Body Fat Percentage ◽  
Brisk Walking ◽  
Obesity Management ◽  
Fat Percentage

Background:Brisk walking is the most popular activity for obesity management for adults. We aimed to identify whether participant age, sex and body mass index (BMI) influenced the effectiveness of brisk walking.Methods:A search of 9 databases was conducted for randomized controlled trials (RCTs). Two investigators selected RCTs reporting on change in body weight, BMI, waist circumference, fat mass, fat-free mass, and body fat percentage following a brisk walking intervention in obese adults.Results:Of the 5072 studies screened, 22 met the eligibility criteria. The pooled mean differences were: weight loss, –2.13 kg; BMI, –0.96 kg/m2; waist circumference, –2.83 cm; fat mass, –2.59 kg; fat-free mass, 0.29 kg; and body fat percentage, –1.38%. Meta-regression of baseline BMI showed no effect on changes.Conclusions:Brisk walking can create a clinically significant reduction in body weight, BMI, waist circumference, and fat mass for obese men and women aged under 50 years. Obese women aged over 50 years can achieve modest losses, but gains in fat-free mass reduce overall change in body weight. Further research is required for men aged over 50 years and on the influence of BMI for all ages and sexes.

scholarly journals Body Fat Percentage, Waist Circumference and Body Mass Index are Correlated with Nitric Oxide Levels in Young Adults with Central Obesity

2021 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Feriyandi Nauli ◽  
Nurhasanah Nurhasanah ◽  
Endang Mahati ◽  
Udin Bahrudin
Keyword(s):  
Nitric Oxide ◽  
Body Mass Index ◽  
Young Adults ◽  
Waist Circumference ◽  
Body Mass ◽  
Body Fat ◽  
Central Obesity ◽  
Subcutaneous Fat ◽  
Body Fat Percentage ◽  
Fat Percentage

Background: Central obesity stands for the corner-stone of cardio-metabolic health, while nitric oxide (NO) is a major regulator of cardiovascular function. To day, the correlation between serum NO metabolites nitrate/nitrite and the obesity components in young adults remains elusive. Thus, this current study was conducted to know the correlation between serum NO metabolites levels and body fat percentage, waist circumference (WC) as well as body mass index (BMI) in young adults with central obesity.Materials and Methods: A cross-sectional study was conducted in Riau, Indonesia, involving 79 young adults aged 18-25 years, composing of 39 and 40 subjects with and without central obesity, respectively. Anthropometric measurements were performed to assess WC and BMI. Body fat percentage was measured using bioelectrical impedance analysis and serum NO metabolites levels were assessed using Griess methods.Results: Levels of serum NO metabolites were significant higher in the subjects with central obesity (168.41±12.64 μmol/L) than that of normal subjects (70.57±44.99 μmol/L, p<0.001), but the levels were no significant different between male and female subjects. Serum NO metabolites levels were strongly correlated with total body fat (r=0.618, p<0.001), visceral fat (r=0.733, p<0.001), subcutaneous fat (r=0.547, p<0.001), WC (r=0.717, p<0.001) and BMI (r=0.788, p<0.001).Conclusions: For young adults in Riau, Indonesia, levels of serum NO metabolites are higher in the central obesity group than that of the normal. In this population, body fat percentage, waist circumference and body mass index are correlated with serum nitric oxide metabolites levels.Keywords: nitric oxide, body fat percentage, young adults, central obesity

scholarly journals Whole-Food Plant-Based Lifestyle Program and Decreased Obesity: A 10-Year Follow-up

2019 ◽  
Author(s):  
Boštjan Jakše ◽  
Barbara Jakše ◽  
Stanislav Pinter ◽  
Jernej Pajek ◽  
Nataša Fidler Mis
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Food Plant ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Total Body Mass ◽  
Lifestyle Program ◽  
Composition Changes

Failure of various weight-loss programs and long-term maintenance of favorable body composition in all kinds of people is high, since the majority go back to old dietary patterns. Many studies have documented the efficacy of a plant-based diet (PBD) for body mass management, but there are opinions that maintaining a PBD is difficult. We aimed to evaluate the long-term success of a whole-food plant-based (WFPB) lifestyle program. We investigated the differences in the obesity indices and lifestyle of 151 adults (39.6 &plusmn; SD 12.5 years), who were on our program for short (0.5&ndash;&lt;2 years), medium (2&ndash;&lt;5 years), or long term (5&ndash;10 years). Body-composition changes were favourable for all three groups, both genders and all participants. There were no differences in relative body-composition changes (BMI, body fat percentage and muscle mass index (MMI)) between the three groups. All participants improved their BMI (baseline mean pre-obesity BMI range (kg/m2): 26.4 &plusmn; 5.6 to normal 23.9 &plusmn; 3.8, p &lt; 0.001), decreased body mass (&ndash;7.1 &plusmn; 8.3 kg, p &lt; 0.001) and body fat percentage (&ndash;6.4 &plusmn; 5.6 % points, p &lt; 0.001). 85.6% (101 out of 118) of parents of underage children (&lt; 18 years), introduced WFPB lifestyle to their children. Those with the highest BMI at baseline lost the most of: a) BMI units, b) total body mass and c) body fat (a) (kg/m2) (&ndash;5.6 &plusmn; SD 2.9, &ndash;2.4 &plusmn; 1.8 and &ndash;0.9 &plusmn; 1.5), b) (kg) (&ndash;16.1 &plusmn; SD 8.8, &ndash;7.1 &plusmn; 5.4 and &ndash;2.5 &plusmn; 4.5) and c) (% points) (&ndash;9.5 &plusmn; SD 5.7, &ndash;6.6 &plusmn; 4.6 and &ndash;4.7 &plusmn; 5.3) for participants who had baseline BMI in obese, overweight and normal range, respectively; pbaseline vs. current &lt; 0.001 for all). WFPB lifestyle program provides long-term lifestyle changes for reversal of obesity and is effective transferred to the next generation.

scholarly journals Body Composition of Children in the Pre-pubertal and Early-pubertal Period: Are There Some Age-related and Intersexual Differences?

GYMNASIUM ◽  
2019 ◽  
Vol XIX (2) ◽  
pp. 64
Author(s):  
Pavol Čech ◽  
Pavel Ružbarský ◽  
Ľubomír Paučír ◽  
Dalibor Dzugas
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Age Related ◽  
Health Related ◽  
Wallis Anova ◽  
Vega 1

The aim of the presented study was to assess changes in body composition and intersexual differences among children at pre-pubertal and early-pubertal age. The research was designed as a non-randomized cross-section study. The screened sample consisted of 136 girls and 212 boys assigned into three groups according to their age. Body composition was measured using a direct segmental multi-frequency bioelectrical impedance analysis (DSM-BIA). To examine the association between obesity and selected health-related parameters, Kruskal-Wallis ANOVA and Eta2 were used. For evaluation of intersexual differences, Mann-Whitney U-test was used. The presented article is the part of VEGA 1/0840/17 project. From the perspective of age, neither in the group of girls nor boys we recorded any differences in indicators of body composition, namely in body fat mass index, body fat percentage and, in addition, in the group of girls in the waist to hip ratio parameter.

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