scholarly journals Changes in Sugar Sweetened Beverage Intake Related to Changes in Body Composition in Mexican Adolescents

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1029-1029
Author(s):  
Lindsey English ◽  
Karen Peterson ◽  
Erica Jansen ◽  
Yanelli Rodríguez-Carmona ◽  
Martha Maria Téllez-Rojo ◽  
...  
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Body Fat ◽  
Birth Cohort Study ◽  
Linear Regression Models ◽  
Fat Percentage ◽  
Nutrition Survey ◽  
Sugar Sweetened Beverage ◽  
Sweetened Beverage ◽  
Mexican Adolescents

Abstract Objectives To examine the relationship between changes in sugar sweetened beverage (SSB) intake and changes in adiposity over a two-year period during adolescence in a Mexico City cohort. Methods The analytic sample comprised 511 Mexican adolescents enrolled in a birth cohort study with complete information on sugar sweetened beverage intake and body composition for two time points. In 2015 and 2017, a food frequency questionnaire (FFQ) from the 2006 Mexican National Health and Nutrition Survey was administered to participants ages 9 to 20. Seven variables from the FFQ were summed to use as daily servings of SSBs as a predictor: regular soda, coffee with sugar, tea with sugar, sweetened fruit water, chocolate milk, corn atole, and Yakult (sweetened probiotic milk beverage). Adiposity measurements included body mass index (BMI), body fat % estimated by bioelectrical impedance, and waist circumference, measured by trained research assistants using standard techniques. We used linear regression models with changes in adiposity measures as the continuous outcome and quartiles of change in sugar sweetened beverage intake as the predictor adjusting for age, sex, household socioeconomic status, screen time, and physical activity. Results At baseline (2015), mean age was 14.5 ± 2.1 years with 48% male. The median intake of SSBs was 341 mL/day (IQR = 463 mL) for males and 257 mL/day (IQR = 391 mL) for females. The median SSB intake change over the 2-year period was a 51 mL decrease (IQR = 441 mL) for males and no change (IQR = 360 mL) for females. In adjusted analyses, adolescents with the highest change in SSB intake (Quartile 4,274.3 mL median (IQR = 297.1) increase in SSB intake) had a 0.30 increase kg/m2 in BMI (95% CI −0.15, 0.75), a 1.14% increase in body fat (95% CI −0.02, 2.31), and a 1.64 cm increase in waist circumference (95% CI 0.27, 3.00), compared to those with decreases or no change in SSB intake. Conclusions Increased intake of sugar sweetened beverages was associated with higher changes in body fat percentage, waist circumference, and BMI over a two-year period among Mexican adolescents. Funding Sources This project was supported by a P01 research grant through the NIH/NIEHS.

scholarly journals Association of Sugar-Sweetened Beverage Frequency with Adiposity: Evidence from the “Children of 1997” Birth Cohort

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1015
Author(s):  
Ting Zhang ◽  
Shiu Lun Au Yeung ◽  
Man Ki Kwok ◽  
Lai Ling Hui ◽  
Gabriel Matthew Leung ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Birth Cohort ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Z Score ◽  
Fat Percentage ◽  
Sugar Sweetened Beverage ◽  
Waist To Hip Ratio ◽  
Sweetened Beverage ◽  
Consumption Frequency

Background: Observationally, sugar-sweetened beverage (SSB) consumption is associated with adiposity in Western children but could be confounded. We examined the association of SSB frequency with adiposity in the non-Western setting of Hong Kong. Methods: We examined the associations of SSB consumption frequency at 11 and 13 years assessed by using a food frequency questionnaire with subsequent body mass index (BMI) z-score and overweight/obesity up to 18 years using generalized estimating equations, and with waist circumference, waist-to-hip ratio, and body fat percentage at 16–19 years using linear regression in a population-representative Chinese birth cohort “Children of 1997” (n = 3628). Results: At 11 and 13 years, 6.8% and 8.2% of children respectively consumed SSB daily. Neither SSB frequency at 11 nor at 13 years was associated with subsequent BMI z-score or overweight/obesity up to 18 years, or with waist circumference, waist-to-hip ratio, or body fat percentage at 16–19 years adjusted for age, sex, socioeconomic position, health status, physical activity and other food consumption, although bias to the null from under-reporting cannot be eliminated. Conclusion: Although we cannot definitively exclude a small association of SSB frequency with adiposity, lack of association of SSB frequency with adiposity in a non-Western setting with low SSB consumption suggests that the role of SSB in adiposity appears to be minor.

scholarly journals Association between Adherence to the Mediterranean Diet and Physical Fitness with Body Composition Parameters in 1717 European Adolescents: The AdolesHealth Study

Nutrients ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 77 ◽  
Author(s):  
Pablo Galan-Lopez ◽  
Antonio J. Sanchez-Oliver ◽  
Maret Pihu ◽  
Thórdís Gísladóttír ◽  
Raúl Domínguez ◽  
...  
Keyword(s):  
Body Composition ◽  
Waist Circumference ◽  
Physical Fitness ◽  
Mediterranean Diet ◽  
Body Mass ◽  
Body Fat ◽  
Dietary Habits ◽  
Fat Percentage ◽  
Chi Square ◽  
The Mediterranean

Obesity, low levels of physical fitness, and unhealthy eating patterns are responsible for part of the health problems of adolescents today. The current study aimed at examining the association between the adherence to the Mediterranean diet (MD), through each answer to the items of the Adherence to the MD Questionnaire (KIDMED), and physical fitness with body composition parameters (body mass index (BMI), percentage of body fat, and waist circumference) in 1717 European adolescents (N = 900 boys, N = 817 girls). Data of body composition, physical fitness results, and the answers to KIDMED were analyzed by the Student’s t-test. Additionally, the effect size (ES) was calculated and a Chi-square test analyzed the proportion of participants with and without over waist circumference, overfat, and overweight in each KIDMED question. The relative risk of suffering over waist circumference, overfat and overweight in relation to the responses was calculated by Odd-Ratio. Adherence to the MD did not influence the condition of over waist circumference, overfat and overweight, although certain dietary habits were identified as risk factors for their development. Over waist circumference, overfat, and overweight boys and girls presented higher levels of body mass, waist circumference, body fat percentage, and BMI (p < 0.001; ES = 1.73–3.38), as well as lower levels of all the parameters of the physical fitness analyzed (p < 0.001; ES = 0.45–1.08), except the handgrip test. A direct relationship between fitness and over waist circumference, overfat, and overweight was found.

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

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

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.

Influence of maternal pre-pregnancy nutritional status on offspring anthropometric measurements and body composition in three Brazilian Birth Cohorts

2020 ◽  
pp. 1-13
Author(s):  
Mariane da Silva Dias ◽  
Alicia Matijasevich ◽  
Aluísio JD Barros ◽  
Ana Maria B. Menezes ◽  
Bruna Celestino Schneider ◽  
...  
Keyword(s):  
Body Composition ◽  
Birth Weight ◽  
Waist Circumference ◽  
Nutritional Status ◽  
Normal Weight ◽  
Birth Cohort Study ◽  
Birth Cohorts ◽  
Mediation Analyses ◽  
Association Pattern ◽  
Maternity Hospitals

Abstract Objective: We aimed at evaluating the association of maternal pre-pregnancy nutritional status with offspring anthropometry and body composition. We also evaluated whether these associations were modified by gender, diet and physical activity and mediated by birth weight. Design: Birth cohort study. Setting: Waist circumference was measured with an inextensible tape, and fat and lean mass were measured using dual-energy X-ray absorptiometry. Multiple linear regression was used to adjust for possible confounders and allele score of BMI. We carried out mediation analysis using G-formula. Participants: In 1982, 1993 and 2004, all maternity hospitals in Pelotas (South Brazil) were visited daily and all live births whose families lived in the urban area of the city were evaluated. These subjects have been followed up at different ages. Results: Offspring of obese mothers had on average higher BMI, waist circumference and fat mass index than those of normal weight mothers, and these differences were higher among daughters. The magnitudes of the association were similar in the cohorts, except for height, where the association pattern was not clear. In the 1982 cohort, further adjustment for a BMI allele score had no material influence on the magnitude of the associations. Mediation analyses showed that birth weight captured part of this association. Conclusions: Our findings suggest that maternal pre-pregnancy nutritional status is positively associated with offspring BMI and adiposity in offspring. And this association is higher among daughters whose mother was overweight or obese and, birth weight explains part of this association.

scholarly journals Uric acid is associated with adiposity factors, especially with fat mass reduction during weight loss in obese children and adolescents

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Yang Niu ◽  
Xue-lin Zhao ◽  
Hui-juan Ruan ◽  
Xiao-meng Mao ◽  
Qing-ya Tang
Keyword(s):  
Weight Loss ◽  
Body Composition ◽  
Uric Acid ◽  
Children And Adolescents ◽  
Body Fat ◽  
Fat Mass ◽  
Dietary Control ◽  
Obese Children ◽  
Fat Percentage ◽  
Before And After

Abstract Background Current adult studies suggest that uric acid (UA) is associated with body fat, but the relationship in obese children is unclear. Thus, we aim to evaluate the association between uric acid and body composition of obese children. Methods A total of 79 obese children were included in this study, and 52 children (34 boys and 18 girls) underwent a 6-week weight loss camp, including 34 boys and 18 girls. Six-week weight-loss interventions were performed on all participants through aerobic exercise and appropriate dietary control. Laboratory tests and body composition were collected before and after the intervention. Results Before the intervention, correlation analysis demonstrated that uric acid was positively correlated with height, weight, body mass index (BMI), waist circumference, hip circumference, fat mass (FM), and free fat mass (FFM) with adjusting for age and gender (P < 0.05). After 6 weeks of intervention, the participants gained 3.12 ± 0.85 cm in height, body fat percentage decreased by 7.23 ± 1.97%, and lost 10.30 ± 2.83 kg in weight. Univariate and multivariate analysis indicated that uric acid at baseline was associated with FM reduction during weight loss (P < 0.05). Conclusions This study is the first report that uric acid is associated with BMI and FM, and may play an important role in the reduction of FM during weight loss in obese children and adolescents. The interaction between UA and adiposity factors and its underlying mechanisms need to be further explored. Trial registration This study was registered in Clinical Trials.gov (NCT03490448) and approved by the Ethics Committee of Xinhua Hospital, Shanghai Jiao Tong University School of Medicine.

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