Tri-Ponderal Mass Index vs Body Mass Index in Estimating Body Fat During Adolescence

Validity of non-traditional measures of obesity compared to total body fat across the life course: A systematic review and meta-analysis

IntroductionTraditional obesity measures including body mass index, waist circumference, waist-to-hip ratio, and waist-to-height ratio have limitations. The primary objective of this study was to identify and review the validity of non-traditional obesity measures, using measures of total body fat as the reference standard, that have been used across multiple life stages. MethodsWe conducted a systematic review and searched MEDLINE, Embase, and PsycINFO. We included observational studies published from 2013 to October 2023 among "the general population" for any life stage that reported the validity of non-traditional obesity measures compared to total body fat reference standards. Separate meta-analyses were performed to pool correlation coefficients and mean differences for non-traditional obesity measures that were evaluated at multiple life stages. ResultsA total of 123 studies were included, and 55 validated non-traditional obesity measures were identified. Of these, 13 were evaluated at multiple life stages. Two-dimensional (2D) digital imaging technologies, three-dimensional (3D) body scanners, relative fat mass (RFM), and mid-upper arm circumference had high or moderate validity (pooled correlation coefficient >0.70). Pooled mean differences were small (<6%) between total body fat percentage from reference standards and from RFM, 2D digital imaging technologies, 3D body scanners, and the body adiposity index. Heterogeneity (I2) was >75% in most meta-analyses. ConclusionNumerous validated non-traditional obesity measures were identified; relatively few were evaluated at multiple life stages and did not consider health risks associated with adiposity. More research is needed to define valid obesity measures across all life stages that assess health and adiposity.

Association of Body Composition Parameters with Aortic Elastic Properties in newly diagnosed type 2 diabetics

BACKGROUND

In individuals with type 2 diabetes mellitus (T2DM), impairments in aortic elastic functions due to vascular remodeling and changes in cardiac morphology and function are observed from the time of diagnosis.

OBJECTIVE

This study investigated alterations in aortic elastic functions in newly diagnosed T2DM patients using transthoracic echocardiography (TTE) and explored their association with various body composition parameters.

MATERIALS AND METHODS

A total of 273 newly diagnosed diabetic patients (144 females; mean age: 50.7±12.2 years) and 139 control subjects without any detected diseases (90 females; mean age: 47.1±8.5 years) were included in the study. Echocardiographic parameters and aortic elastic properties were evaluated using TTE. Body composition indices, including Body Mass Index, Waist-to-Hip Ratio, Tri-Ponderal Mass Index (TMI), Visceral Adiposity Index, Body Shape Index, Body Roundness Index, Body Adiposity Index, and Cardiometabolic Index were calculated for all participants.

RESULTS

When aortic elastic parameters were evaluated, aortic strain and aortic distensibility were significantly lower in Group 1 compared to Group 2, while the aortic stiffness index was significantly higher in Group 1. Aortic elastic parameters were significantly correlated with most of all body composition indices except for BSI, with the highest correlation observed with TMI (AS; rho=0.490, ASI; rho=0.456, AD; 0.516; p<0.001).

CONCLUSION

In newly diagnosed T2DM patients, aortic elastic functions are impaired at the time of diagnosis compared to the normal population. Among body composition indices; the most significant association was found with TMI. TMI may be considered a potential screening tool not only for evaluating aortic elastic functions but also for identifying other atherosclerotic processes.

Exploring the cecal microbial community associated with fat deposition in sheep and its possible pathways of action

Fat deposition is a crucial economic trait during sheep growth and development, closely linked to economic returns. Current research on sheep's digestive tract predominantly focuses on the rumen, but the composition of the cecal microbiota and its relationship with host fat deposition remains largely unexplored. In this study, we sequenced the cecal microbiota of 60 Hu sheep, exhibiting marked differences in traits. The most abundant species in the sheep cecum were Firmicutes and Bacteroidota. Statistical analyses revealed significant differences in microbial community structures among different fat-deposition groups (P < 0.05). Using a random forest regression model and linear regression, 15 microbial biomarkers, including Lachnospiraceae_NK3A20_group, Turicibacter, and Bacteroides, were identified as key contributors to fat deposition. Additionally, volatile fatty acids (VFAs) in the cecum and biochemical indices in serum were measured. Acetic acid was the most abundant VFA in the cecum, while isobutyric acid levels were significantly higher in the low-fat group than in other groups (P < 0.05). Serum triglyceride (TG) levels were significantly higher in the high-fat group (P < 0.05). Correlation analysis revealed a significant association between Lachnospiraceae_NK3A20_group and acetic acid levels, as well as between TG levels and fat deposition traits (P < 0.05). TG levels were negatively correlated with acetic acid concentrations (P < 0.05). These findings suggest that the cecal microbiota influences fat deposition in sheep, potentially via the VFAs-TG metabolic pathway.

IMPORTANCE

Compared with muscle development, fat deposition consumes more energy, and controlling the fat deposition process can effectively reduce energy waste. Current research on rumination mainly focuses on the rumen but lacks research on the hindgut. This study identifies differences in the cecal microbiota of sheep with varying fat deposition levels and highlights significant correlations between specific microorganisms, cecal metabolites, and host traits. Therefore, the regulation of cecal microorganisms can help improve the fat deposition characteristics of sheep.

Triponderal Mass Index rather than Body Mass Index in discriminating high adiposity in Brazilian children and adolescents

Introduction

Introduction: body mass index (BMI) is used worldwide to track excess weight; however, it has limitations in predicting body fat percentage (BF%). Triponderal mass index (TMI) has been studied as an alternative indicator to predict BF%. Objective: to compare BMI and TMI as predictors of BF% and develop TMI cutoff points for screening high adiposity in Brazilian children and adolescentes. Methods: a cross-sectional and multicenter study conducted with 226 individuals aged 5 to 17 years from two municipalities in the Southeast and South regions of Brazil. BF% was assessed by bioimpedancemetry. The association between BMI and TMI with BF% was assessed using generalized additive models. ROC curve analyzes were performed to verify the accuracy of BMI and TMI in detecting high adiposity. The areas under the curve (AUC) of BMI and TMI were compared using non-parametric analysis. The TMI cutoff points were obtained using Youden's J index. Results: bioimpedancemetry detected high BF% in 54.1 % (95 % confidence interval [CI], 44.8-63.2) of boys and 63.5 % (95 % CI, 54.5-71.9) of girls. TMI was able to predict BF% better than BMI in males, presenting a higher R-square (0.737 versus 0.646, respectively). The TMI presented AUC significantly greater than BMI to indicate high adiposity in the entire population (p = 0.007) and in females (p = 0.014). TMI cutoff points for different age groups and sex were presented. Conclusion: TMI proved to be a better predictor of excess body fat than BMI in Brazilian children and adolescents.

The invisible connection of mothers' BMI, emotional appetite, and food choices with childhood obesity

BACKGROUND

This study examined the effects of mothers' body mass index (BMI), emotional appetite, and food choices on children's growth curves and adiposity.

METHODS

Data was collected from 492 mothers. The demographic characteristics and anthropometric measurements were obtained using a questionnaire. The mothers' food choices and emotional appetites were assessed using scales. BMI for age Z score and tripoderal index (TMI) were used in the evaluation of children's anthropometric measurements and adiposity.

RESULTS

The mean age of mothers' was 39.10 ± 0.26 and BMI was 25.08 ± 0.21. Among the mothers, 54.5% were classified as normal, 28.4% as pre-obese, and 14.7% as obese. Among the children, 31.5% were overweight or obese. There was a strong positive correlation between the mean BMI of the mothers and the mean TMI and BMI of the children (p < 0.001). The "convenience" food choice factor of mothers had negative correlation with childiren's BMI for age (p < 0.005).

CONCLUSIONS

This study emphasizes the invisible connection between mothers' emotional appetite and food choices and children's BMI and TMI and highlights the importance of paying attention to mothers' eating habits for children's health outcomes. These findings will be informative in the formulation of future health policies.

IMPACT

This research revealed the relationship between mothers' food choices and emotional appetites, and their children's growth curves and adiposity. The study proposes the Triponderal Index as an alternative approach to evaluating growth, introducing a novel perspective in growth monitoring. By highlighting the impact of mothers' emotional appetites and food choices on children's dietary habits and weight status, the research emphasizes the significance of family eating habits. The findings support the promotion of healthy dietary practices within families as a crucial measure in preventing and managing childhood obesity, conveying a significant message to parents and healthcare professionals for a healthier future.

Independent effect of body fat content on inflammatory biomarkers in children and adolescents: The GENOBOX study

BACKGROUND AND AIMS

To assess the relationship between body composition indicators and inflammatory biomarkers in children and adolescents of the GENOBOX study.

METHODS AND RESULTS

Anthropometry data from 264 subjects from the subsample of Zaragoza (Spain) included: weight, height, waist circumference, body mass index and triponderal index. Body composition was determined by Dual-energy X-ray Absorptiometry (DXA), obtaining visceral adipose tissue, fat mass index and lean mass index. Age and sex specific z-scores were computed. Simple linear regression models were performed with inflammatory biomarkers (hsCRP, IL8, TNF-α, adiponectin, leptin and resistin) as dependent variables, and each of the body composition indices as independent variables. Prepubertal boys had higher IL8 and resistin values and pubertal girls had higher HOMA-IR and leptin values. hsCPR and leptin were associated with fat mass, both in prepubertals and pubertals, independently of lean mass, and regardless of how body composition was measured. All body composition indices were inversely associated with adiponectin, except for fat mass index in pubertals, but none of them were statistically significant.

CONCLUSION

A positive association between hsCRP and leptin with all body fat composition parameters, measured by standard nutritional indicators and DXA, was observed in both sexual stages.

Tri-Ponderal Mass Index-A reliable anthropometric index for early screening of adolescent obesity in a school-based setting: A cross-sectional study

OBJECTIVE

This study was designed to examine the reliability of the Tri-Ponderal Mass Index (TMI) for early screening of adolescent obesity compared with anthropometric measures such as hip circumference, neck circumference, waist circumference, waist-height ratio, waist-hip ratio, and body mass index.

METHODS

A school-based, cross-sectional study was conducted between July and December 2019 among 1101 school-going adolescents (both sexes) aged 12 to 17 years, in Rudrapur, Uttarakhand, India. Anthropometric measurements were collected using well-calibrated equipment, and age- and sex-specific BMI percentile cutoff values recommended by the Indian Academy of Pediatrics were used to define overweight and obesity. Statistical analysis was done using SPSS software version 16.0. Receiver operating characteristic curve analysis was conducted, and optimal cutoff values for anthropometric measurements were determined using the Youden Index (sensitivity + specificity - 1).

RESULTS

Of 1101 study participants, 71.5% (n = 787) and 28.5% (n = 314) were males and females, respectively. The prevalences of overweight and obesity were 10.4% and 4.1%, respectively. Receiver operating characteristic curve analysis was conducted and TMI exhibited the highest Youden Index both in terms of overweight (0.835) and obesity (0.869) among adolescents. The optimal TMI cutoff values for overweight and obese males and females were >12 kg/m³ and >14 kg/m³ and >13 kg/m³ and >16 kg/m³, respectively. The TMI demonstrated superior predictive capacity for early screening of adolescent obesity, as indicated by high discriminative power, sensitivity, and specificity.

CONCLUSIONS

The TMI can be used as a simple, reliable tool for early screening of overweight and obesity among adolescents.

Relationship Between Plasma Leptin Levels and Airflow Limitation in the Small and Medium Airways in Young Adults

Background/Objectives: To determine the relationship between plasma leptin levels and airflow limitation (AFL) in the small and medium airways of young adults according to their body composition (BC). Methods: To determine AFL, the following measurements were taken: forced expiratory volume in the first second (FEV1), forced expiratory flow between 25-75% (FEF25-75%), airway resistance (Raw), and specific airway resistance (sRaw). The measured BC variables were body mass index (BMI), body fat percentage (%BF), trunk fat percentage (TF%), and fat-free mass (FFM). Plasma leptin was measured using the ELISA technique. Results: In total, 83 participants (40 male and 43 female) aged 21.55 ± 2.08 years were evaluated. Leptin was significantly higher in women than men (p < 0.01). When relating leptin to lung function variables, FEV1 and FEF25-75% showed a significant inverse relationship (p < 0.01), and Raw and sRaw showed a direct and significant relationship (p < 0.01). Female participants with a BF% and leptin higher than their p75 were observed to have a higher risk of increased sRaw (OR = 1.0; OR = 1.15, respectively), regardless of age, and participants with an FFM% higher than their p75 had a lower risk of increased sRaw (OR = 0.71), regardless of gender and age. Conclusions: There is an inverse relationship between FEV1, FEF25-75%, and a direct relationship between Raw and sRaw with leptin. For female participants with a higher BF%, higher FFM%, and leptin, the risk of developing Raw and sRaw was found to be modified.

Motor and functional characteristics in school-age survivors of congenital diaphragmatic hernia: a cross-sectional observational study

BACKGROUND

Children born with congenital diaphragmatic hernia (CDH) are at risk of poor developmental outcomes. This study aimed to clarify the motor and functional characteristics of school-age CDH survivors and identify perinatal factors associated with motor function deficits.

METHODS

Motor function was comprehensively assessed in CDH survivors aged 6-10 years (CDH group, n=24) and in age- and sex-matched controls (n=72). Assessments included physical activity time, grip strength, the five times sit-to-stand test, one-leg standing time, 6 min walking distance and gait ability using a three-dimensional gait analysis. In the CDH group, correlations between perinatal factors and motor function outcomes were analysed.

RESULTS

In the CDH group, all children had isolated CDH. Three were extracorporeal membrane oxygenation (ECMO) treated and 21 were non-ECMO treated. The CDH group exhibited shorter stature, lower weight and reduced physical activity time than the controls. They also showed significantly lower grip strength, longer five times sit-to-stand test time, shorter one-leg standing time and decreased 6 min walking distance. No significant differences were found between the two groups regarding walking speed, step length or Gait Deviation Index. Within the CDH group, a higher observed-to-expected lung area-to-head circumference ratio (o/e LHR) was positively correlated with better grip strength.

CONCLUSIONS

School-age survivors of CDH are at risk of impaired motor function. Particularly, grip strength measurement is crucial for those born with a low o/e LHR. Implementing follow-up and intervention programmes focused on improving limb muscle strength, balance, and endurance, and promoting adequate physical activity may enhance motor function.

Weight/height2: Mathematical overview of the world's most widely used adiposity index

A footnote in Adolphe Quetelet's classic 1835 Treatise on Man described his algebraic analysis of how body weight ( W ) varies with height ( H ) in adult males and females. Using data on 12 short and 12 tall subjects of each sex, Quetelet established the rule that W is approximately proportional ( ∝ ) to H2 in adults; that is, W ∝ H 2 when W ≈ α H 2 for some constant α . Quetelet's Rule ( W ∝ H 2 ), transformed and renamed in the twentieth century to body mass index ( BMI = W / H 2 ), is now a globally applied phenotypic descriptor of adiposity at the individual and population level. The journey from footnote to ubiquitous adiposity measure traveled through hundreds of scientific reports and many more lay publications. The recent introduction of highly effective pharmacologic weight loss treatments has heightened scrutiny of BMI's origins and appropriateness as a gateway marker for diagnosing and monitoring people with obesity. This contemporary context prompted the current report that delves into the biological and mathematical paradigms that underlie the simple index BMI = W / H 2 . Students and practitioners can improve or gain new insights into their understanding of BMI's historical origins and quantitative underpinning from the provided overview, facilitating informed use of BMI and related indices in research and clinical settings.

The relationship of visceral adiposity with endothelial functions and subclinical atherosclerosis in obese individuals

INTRODUCTION

On the cardiovascular system, obesity accelerates atherosclerosis progression, inducing pathophysiological changes that are detectable already from young adults. Endothelial dysfunction is one of the earliest vascular alterations observed in obesity. In this study, we aimed to determine endothelial functions and carotid intima-media thickness in patients with obesity without overt cardiovascular disease.

METHODS

The study was conducted with 112 individuals with obesity without overt cardiovascular disease and any chronical diseases (BMI>30 kg/m2) (84 female, 28 male, mean age: 46.3±11.2 years) and 49 healthy individuals with no diseases (33 female, 16 male, mean age: 44.6±10.2 years). All patients were examined for endothelial functions by the flow-mediated dilatation (FMD) method and carotid intima-media thicknesses (CIMT). All measurements were performed by the same imaging specialist, averaging 3 different measurements. In addition to the body mass index and waist circumference visceral adiposity index (VAI) and triponderal mass index (TPI) also calculated.

RESULTS

The percentage of FMD obtained by brachial artery ultrasound was significantly lower, visceral adipose tissue, perirenal adipose tissue thicknesses measured by abdominal ultrasound and CIMT were significantly thicker in Group 1 compared to Group 2. FMD had a negative significant correlation with body mass index, visceral adipose tissue thickness, perirenal adipose tissue thickness, and waist and hip circumferences, and carotid intima-media thickness and CIMT had a significant correlation with visceral adipose tissue thickness, perirenal adipose tissue thickness, VAI, TPI and waist, hip circumferences.

CONCLUSION

Individuals with obesity have impaired endothelial functions and greater carotid intima-media thicknesses compared to healthy individuals. This impairment in endothelial functions is proportional to the amount of visceral and perirenal fat accumulation. Parameterss reflecting visceral fat distribution such as VAI and TPI are also related with these impairment.

Cut-off points of adiposity indices associated with insulin resistance in Brazilian postpubertal adolescents

OBJECTIVES

This study aims to establish cut-off points for lipid accumulation product and tri-ponderal mass index to identify insulin resistance (IR) in Brazilian postpubertal adolescents.

METHODS

We conducted an analysis of postpubertal adolescents enrolled in the national school-based cross-sectional study of cardiovascular risks in adolescents (ERICA-BRAZIL) from February 2013 to November 2014. IR was defined by homeostatic model assessment index for IR values ≥2.32 for girls and ≥2.87 for boys. The analysis involved calculating the area under receiver operating characteristic curves, sensitivity values, specificity, positive and negative predictive values, and positive and negative likelihood ratios to determine reference values of indices with optimal performance.

RESULTS

The sample was comprised of 14 026 adolescents, with 25.3% (95% confidence intervals: 24.6%-26.1%) exhibiting IR, more prevalent among girls and overweight individuals. The ideal lipid accumulation product cut-off points associated with IR were 13.5 for the total population, 13.8 for male adolescents, and 13.5 for girls. Regarding tri-ponderal mass index, the optimal cut-off values for identifying IR were 14.1, 13.9, and 14.5 kg/m³ in the general sample, boys, and girls, respectively.

CONCLUSIONS

This study establishes cut-off points for adiposity indices, demonstrating their effectiveness in screening for IR in postpubertal Brazilian adolescents.

Investigating the efficiency of novel indicators in predicting risk of metabolic syndrome in the Iranian adult population

BACKGROUND

Whether new anthropometric indicators are superior to conventional anthropometric indicators and whether they can better identify MetS in apparently healthy people needs further research. Thus, this study aimed to estimate the efficiency of novel indicators in predicting the risk of metabolic syndrome (MetS) in the Iranian adult population.

MATERIAL AND METHODS

In this cross-sectional study, 800 subjects were selected by clustered random sampling. The metabolic factors, traditional and novel anthropometric indices, the triglyceride and glucose index (TyG index) and modified TyG indices (TyG-BMI, TyG-WC, TyG-WHR, and TyG-WHtR), and metabolic score for insulin resistance (METS-IR) were evaluated. The MetS was calculated according to the IDF criteria. To investigate the risk of MetS, logistic regression was used along with modeling.

RESULTS

In all three models, all traditional anthropometric indices were associated with MetS (P < 0.001). Regarding novel anthropometric indices, all indices (except for ABSI) significantly predicted the risk of MetS in all participants before and after adjustment (P < 0.001). WTI index presented the highest Odds ratios for MetS (29.50, 95% CI: 15.53-56.03). A positive association was found in all models between TyG and modified TyG indices and METS-IR with MetS (P for all < 0.001). TyG-WHtR index presented the highest Odds ratios for MetS (70.07, 95% CI: 32.42-151.43).

CONCLUSION

A combination of the TyG index and WHtR (TyG-WHtR index) was better than the TyG index alone, with a higher odds ratio in predicting MetS. Due to the simplicity of these indices, cost-effectiveness, and facility at small-scale labs and being predictive of MetS risk it is suggested to include these markers in clinical practice.

Causal relationship between gut microbiota and childhood obesity: A Mendelian randomization study and case-control study

BACKGROUND

Gut microbiota and obesity are deeply interconnected. However, the causality in the relationship between these factors remains unclear. Therefore, this study aimed to elucidate the genetic relationship between gut microbiota and childhood obesity.

METHODS

Genetic summary statistics for the gut microbiota were obtained from the MiBioGen consortium. Genome-wide association studies (GWAS) summary data for childhood obesity were obtained from North American, Australian, and European collaborative genome-wide meta-analyses. Mendelian randomization (MR) analyses were performed using the inverse variance weighting method. 16 children with obesity and 16 without obesity were included for clinical observation, and their weight, body mass index, blood lipid levels, and gut microbiology were assessed. Paired t-test was the primary method of data analysis, and statistical significance was set at P < 0.05.

RESULTS

MR identified 16 causal relationships between the gut microbiome and childhood obesity. In the case-control study, we found that five gut microorganisms differed between children with and without obesity, whereas three gut microorganisms changed after weight loss in children with obesity.

CONCLUSION

Our study provides new insights into the genetic mechanisms underlying gut microbiota and childhood obesity.

TRIAL REGISTRATION NUMBER

ChiCTR2300072179.

NAME OF REGISTRY

Change of intestinal flora and plasma metabolome in obese children and their weight loss intervention: a randomized controlled tria URL OF REGISTRY: https://www.chictr.org.cn/showproj.html.

DATE OF REGISTRATION

2023-06-06.

DATE OF ENROLMENT OF THE FIRST PARTICIPANT TO THE TRIAL

2023-06-07.

Evaluating eight indicators for identifying metabolic syndrome in Chinese and American adolescents

BACKGROUND

Early intervention and diagnosis of Metabolic Syndrome (MetS) are crucial for preventing adult cardiovascular disease. However, the optimal indicator for identifying MetS in adolescent remains controversial.

METHODS

In total,1408 Chinese adolescents and 3550 American adolescents aged 12-17 years were included. MetS was defined according to the modified version for adolescents based on Adult Treatment Panel III (NCEP-ATP III) criteria. Areas under the curve (AUC) and corresponding 95% confidence interval (95% CI) of 8 anthropometric/metabolic indexes, such as waist circumference (WC), body mass index (BMI), a body shape index (ABSI), waist triglyceride index (WTI), were calculated to illustrate their ability to differentiate MetS. Sensitivity analysis using the other MetS criteria was performed.

RESULTS

Under the modified NCEP-ATP III criteria, WTI had the best discriminating ability in overall adolescents, with AUC of 0.922 (95% CI: 0.900-0.945) in Chinese and 0.959 (95% CI: 0.949-0.969) in American. In contrast, ABSI had the lowest AUCs. Results of sensitivity analysis were generally consistent for the whole Chinese and American population, with the AUC for WC being the highest under some criteria, but it was not statistically different from that of WTI.

CONCLUSIONS

WTI had relatively high discriminatory power for MetS detection in Chinese and American adolescents, but the performance of ABSI was poor.

IMPACT

While many studies have compared the discriminatory power of some anthropometric indicators for MetS, there are few focused on pediatrics. The current study is the first to compare the discriminating ability of anthropometric/metabolic indicators (WC, BMI, TMI, ABSI, WHtR, VAI, WTI, and TyG) for MetS in adolescents. WTI remains the optimal indicator in screening for MetS in adolescents. WC was also a simple and reliable indicator when screening for MetS in adolescents, but the performance of ABSI was poor. This study provides a theoretical basis for the early identification of MetS in adolescents by adopting effective indicators.

Overview of BMI and Other Ways of Measuring and Screening for Obesity in Pediatric Patients

Despite a long history of advances in measuring body size and composition, body mass index (BMI) has remained the most commonly used clinical measure. We explore the advantages and disadvantages of using BMI and other measures to estimate adipose tissue, recognizing that no measure of body size or adiposity has fulfilled the goal of differentiating health from disease. BMI and waist circumference remain widely-used clinical screening measures for appropriate risk stratification as it relates to obesity.

MULT: An allometric body mass index (ABMI) reference to assess nutritional status of multiethnic children and adolescents

OBJECTIVES

To develop an allometric body mass index (ABMI) reference that adjusts the weight in relation to height, taking into account the changes during development (MULT ABMI reference), and to compare it with international BMI references.

METHODS

The MULT ABMI reference was constructed through the LMS method, calculated with 65 644 ABMI observations of 17 447 subjects aged 5-22 years, from the United Kingdom, Ethiopia, India, Peru, Vietnam, Portugal, and Brazil. The M, S, and L curves of the MULT ABMI reference were compared with the curves of the MULT, World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), International Obesity Task Force (IOTF), and Dutch Growth Study (DUTCH).

RESULTS

The greater differences in the M curve between MULT ABMI and WHO, CDC, IOTF, DUTCH, and MULT BMI references were around puberty (138 to 150 months for boys; 114 to 132 for girls). MULT ABMI presented S values similar to IOTF and DUTCH BMI references for boys 60 to 114 months and then became higher, approaching the MULT BMI S values from 198 to 240 months. For girls the MULT ABMI S values were close to the IOTF, CDC, and DUTCH from 60 to 110 months, and then became higher, approaching the MULT BMI S values until 240 months.

CONCLUSION

MULT ABMI presented an advantage in comparison to the existing BMI references because it takes into account the growth changes during puberty and is a new option to assess the nutritional status of multiethnic populations.

Evaluation of body mass index, ponderal index, visceral cross-sectional area, subcutaneous fat cross-sectional area, and liver volume as predictive factors for obesity-related comorbidities: a retrospective cohort study

BACKGROUND

The body mass index (BMI) is an imperfect clinical measure of obesity that should be used in conjunction with other valid measures of weight-related risk. We studied whether there is a superior measure of obesity-related comorbidities.

METHODS

Records of bariatric clinic patients who had an abdominal computed tomography (CT) within 1 year of visit were reviewed. The presence of obesity-related comorbidities was determined at the time of the scan. BMI and ponderal index (PI) were calculated, and CT scans were reviewed to determine the visceral cross-sectional area (VCSA), subcutaneous fat cross-sectional area (SFCSA), and liver volume (LV). Data were analyzed using the Kruskal-Wallis test and Mann-Whitney U test.

RESULTS

A higher number of comorbidities were found to be associated with a larger BMI (P = .011), VCSA (P = .014), SFCSA (P = .007), and LV (P = .014), but not a larger PI (P = .11). Of the 16 comorbidities assessed, VCSA and LV were associated with more than BMI and SFCSA. However, each measure could be associated with different comorbidities. A higher BMI was associated with increased insulin use (P = .034), hypertension (P = .007), and history of obstructive sleep apnea (P = .015), none of which were associated with PI. BMI and PI were the only measures associated with a history of deep vein thrombosis/pulmonary embolism (both P < .01). Only SFCSA was found to be associated with gastroesophageal reflux disease (P = .029). VCSA (P = .038) and LV (P = .001) were associated with nonalcoholic fatty liver disease.

CONCLUSION

No measure could account for all obesity-related comorbidities, implying the need for targeted measurements. However, PI was the least effective measure.

Correlation of tri-ponderal mass index with insulin-like growth factor-I and insulin-like growth factor binding protein-3 in children and adolescents

PURPOSE

We aimed to investigate the relationship between the tri-ponderal mass index (TMI), a new indirect measure of fat mass, and insulin-like growth factor (IGF)-I/IGF binding protein (IGFBP)-3.

METHODS

The study included 1,630 children and adolescents who visited Jeonbuk National University Children's Hospital. Each patient's medical record was retrospectively reviewed for age, sex, height, weight, body mass index (BMI), TMI, and IGF-1 and IGFBP-3 levels. Study participants were divided by sex and then categorized by age, BMI, and TMI. Finally, the correlations of TMI with IGF-1 level, IGF-1 standard deviation score (SDS), IGFBP-3 level, IGFBP-3 SDS, and IGF-1/IGFBP-3 ratio were investigated.

RESULTS

All participants were <19 years of age. BMI correlated with IGF-1 and IGFBP-3 levels in both sexes; however, the relationship with TMI differed by sex. TMI correlated with IGF-1 and IGFBP-3 SDS in boys and with IGF-1, IGFBP-3, and IGFBP-3 SDS in girls across all ages. In boys, BMI and TMI significantly correlated with IGF-1, IGF-1 SDS, IGFBP-3, IGFBP-3 SDS, and the IGF-1/IGFBP-3 ratio in the normal-weight group. TMI also correlated with IGF-1, IGFBP-3, and IGFBP-3 SDS in the overweight group. In girls, BMI significantly correlated with IGF-1, IGF-1 SDS, IGFBP-3, IGFBP-3 SDS, and the IGF-1/IGFBP-3 ratio in the normal-weight group and with IGFBP-3 and IGFBP-3 SDS in the overweight group, while TMI correlated with IGF-1, IGF-1 SDS, and the IGF-1/IGFBP-3 ratio in the normal-weight group; with IGF-1, IGFBP-3, and IGFBP-3 SDS in the overweight group; and with IGFBP-3 SDS in the obese group.

CONCLUSION

TMI may more strongly correlate with IGFBP-3 level than BMI in overweight boys and with IGFBP-3 SDS in overweight and obese girls. The correlation of IGFBP-3 SDS with TMI may be helpful for evaluating weight status in adolescent girls.

Evaluation of the ability of insulin resistance and lipid-related indices to predict the presence of NAFLD in obese adolescents

BACKGROUND

Nonalcoholic fatty liver disease (NAFLD) has become an important health issue in adolescents. Although several parameters and indices have been investigated for the evaluation of NAFLD in adults, these indices are limited in adolescents. In this study, body mass index, waist circumference, triponderal mass index, HbA1c, homeostatic model assessment insulin resistance (HOMA-IR), triglyceride/high-density lipoprotein (Tg/HDL), the lipid accumulation product (LAP) index, the triglyceride-glucose (TyG) index and the aminotransferase (AT) index were examined together, and their diagnostic values in the clinical treatment of NAFLD were compared.

MATERIALS AND METHODS

Seventynine adolescents (10-19 years old) with obesity who were admitted to a pediatric clinic between January and August 2022 and who were diagnosed with exogenous obesity without any comorbidities were included in the study. The presence of NAFLD was evaluated by liver magnetic resonance imaging. The laboratory findings were obtained retrospectively from system records. Parameters were compared between the NAFLD (+) and NAFLD (-) groups. Logistic regression analysis was used to determine the most effective factors for NAFLD treatment. Receiver operating characteristic (ROC) analysis was performed with significant indices. Sex, HOMA-IR, TyG and AT indices were evaluated together with multivariate analysis to design a diagnostic scale.

RESULTS

HbA1c, HOMA-IR, AT indices and TyG indices were greater in the NAFLD (+) group (P = 0.012; P = 0.001; P = 0.012; P = 0.002, respectively). There was a positive correlation between liver fat percentage and HOMA-IR, the TyG index, the AT index, and Tg/HDL. According to the regression analysis, male sex and elevated HOMA-IR were determined to be significant risk factors for the presence of NAFLD. A probability scale with 4 parameters [sex, HOMA-IR, the TyG index, and alanine aminotransferase (ALT)] was designed with 82.5% specificity and 80% sensitivity.

CONCLUSION

Evaluation of the HOMA-IR and TyG indices, especially in high-risk patients, will support the diagnosis of NAFLD via ultrasonography. A probability scale with ALT, HOMA-IR, TyG, and sex data with a diagnostic accuracy of 80% may aid in the diagnosis of NAFLD in adolescents with obesity.

Perceived Barriers to Physical Activity Among Youth Living in Rural and Urban Canadian Communities: A Nationally Representative Cross-Sectional Study

BACKGROUND

We used nationally representative data to explore associations among location of residence (rural/urban) and perceived barriers to physical activity (PA) in Canadian youth.

METHODS

We analyzed the 2017 Canadian Community Health Survey, Barriers to Physical Activity Rapid Response data for 12- to 17-year-old youth. Nine items from the survey assessing perceived barriers to PA were combined into 3 barrier domains: resources, motivational, and socioenvironmental. The likelihood of reporting barriers to PA based on rural-urban location was examined using survey-weighted binary logistic regression following a model fitting approach. Sociodemographic factors were modeled as covariates and tested in interaction with location. For each barrier domain, we derived the best-fitting model with fewest terms.

RESULTS

There were no location-specific effects related to reporting any barrier or motivation-related PA barriers. We found a sex by location interaction predicting the likelihood of reporting resource-related barriers. Rural boys were less likely to report resource-related barriers compared with urban boys (odds ratio [OR] = 0.42 [0.20, 0.88]). Rural girls were more likely to report resource-related barriers compared with boys (OR = 3.72 [1.66, 8.30]). Regarding socioenvironmental barriers, we observed a significant body mass index by location interaction demonstrating that rural youth with body mass index outside the "normal range" showed a higher likelihood of reporting socioenvironmental barriers compared with urban youth (OR = 2.38 [1.32, 4.30]). For urban youth, body mass index was unrelated to reporting socioenvironmental barriers (OR = 1.07 [0.67, 1.71]).

CONCLUSION

PA barriers are not universal among Canadian youth. Our analyses highlight the importance of testing interactions in similar studies as well as considering key sociodemographic characteristics when designing interventions.

Tri-ponderal mass index and left ventricular hypertrophy in a cohort of caucasian children and adolescents with obesity

BACKGROUND

Pediatric obesity is a global emerging burden for society; among its health-related consequences there are hypertension (HTN) and left ventricular hypertrophy (LVH). Several anthropometric indices have been investigated for the early identification of cardiovascular risk in children. The aim of the present study was to assess whether tri-ponderal mass index (TMI) was associated with LVH in a cohort of Caucasian children and adolescents with obesity.

METHODS

In this observational study, 63 children and adolescents with obesity aged 7-to-16 years were enrolled. During outpatient visits, adiposity, and cardio-metabolic indices (BMI z-score, WHR, TMI, ABSI) were collected. All subjects underwent a 24-hour ambulatory blood pressure monitoring (ABPM) and transthoracic echocardiography.

RESULTS

Children and adolescents with obesity with LVH had significantly higher BMI z-score (p = 0.009), WHR (p = 0.006) and TMI (p = 0.026) compared to children without LVH. WC and WHR were the only indices significantly associated with left ventricular mass index (LVMI).

CONCLUSION

Left ventricular remodeling is associated with the cardio-metabolic risk markers WC and WHR, but not with the adiposity index TMI among children with obesity.

Association between tri-ponderal mass index and glucose metabolism disorder in children with obesity in China: A case-control study

Obesity is a risk factor for glucose metabolism disorder. This study explored the association between the tri-ponderal mass index (TMI) and indicators of glucose metabolism disorder in children with obesity in China. This retrospective case-control study included children aged 3 to 18 years old diagnosed with obesity at Jiangxi Provincial Children's Hospital (China) between January 2020 and April 2022. Demographic and clinical characteristics were obtained from the medical records. Factors associated with glucose metabolism disorder were explored by logistic regression analysis. Pearson correlations were calculated to evaluate the relationships between TMI and indicators of glucose metabolism disorder. The analysis included 781 children. The prevalence of glucose metabolism disorder was 22.0% (172/781). The glucose metabolism disorder group had an older age (11.13 ± 2.19 vs 10.45 ± 2.33 years old, P = .001), comprised more females (76.8% vs 66.9%, P = .008), had a higher Tanner index (P = .001), and had a larger waist circumference (89.00 [82.00-95.00] vs 86.00 [79.00-93.75] cm, P = .025) than the non-glucose metabolism disorder group. There were no significant differences between the glucose metabolism disorder and non-glucose metabolism disorder groups in other clinical parameters, including body mass index (26.99 [24.71-30.58] vs 26.57 [24.55-29.41] kg/m2) and TMI (18.38 [17.11-19.88] vs 18.37 [17.11-19.88] kg/m3). Multivariable logistic regression did not identify any factors associated with glucose metabolism disorder. Furthermore, TMI was only very weakly or negligibly correlated with indicators related to glucose metabolism disorder. TMI may not be a useful indicator to screen for glucose metabolism disorder in children with obesity in China.

The metabolic load-capacity model and cardiometabolic health in children and youth with obesity

BACKGROUND

The metabolic load-capacity index (LCI), which represents the ratio of adipose to skeletal muscle tissue-containing compartments, is potentially associated with cardiometabolic diseases.

OBJECTIVES

To examine the associations between the LCI and cardiometabolic risk factors in children and youth with obesity.

METHODS

This is a cross-sectional study including 10-18 years-old participants with a BMI of ≥95th . LCI by air-displacement plethysmography (ADP) was calculated as fat mass divided by fat-free mass, and LCI by ultrasound (US) as subcutaneous adipose tissue divided by skeletal muscle thickness. Sex-specific medians stratified participants into high versus low LCI. Single (inflammation, insulin resistance, dyslipidemia and hypertension) and clustered cardiometabolic risk factors were evaluated. Linear and logistic regression models tested the associations between these variables, adjusted for sexual maturation.

RESULTS

Thirty-nine participants (43.6% males; 59% mid-late puberty) aged 12.5 (IQR: 11.1-13.5) years were included. LCI by ADP was positively associated with markers of inflammation and dyslipidemia; having a higher LCI predicted dyslipidemia in logistic regression. Similarly, LCI by US was positively associated with markers of dyslipidemia and blood pressure. In mid-late pubertal participants, LCI by US was positively associated with markers of insulin resistance and inflammation.

CONCLUSIONS

Participants with unfavourable cardiometabolic profile had higher LCI, suggesting its potential use for predicting and monitoring cardiometabolic health in clinical settings.

Effect of High BMI on Human Bone Marrow-Derived Mesenchymal Stromal Cells

Bone marrow-derived mesenchymal stromal cells (BMSCs) are attractive candidates in tissue engineering and regenerative medicine. Growing evidence has suggested that a high body mass index (BMI) can affect the properties of BMSCs, resulting in a reduced quality of the cells. However, the results are not consistent. Therefore, this study aimed to investigate the influences of high BMI on human BMSCs (hBMSCs). To avoid gender bias, BMSCs from females and males were studied independently. Finally, hBMSCs from 89 females and 152 males were separately divided into the normal BMI group (18.5 kg/m2 ≤ BMI < 25 kg/m2) and the high BMI group (BMI > 25 kg/m2). The cells were analyzed for the colony-forming potential; proliferation capacity; in vitro adipogenic, osteogenic, and chondrogenic differentiation potentials; and the expression of 32 common surface antigens. The results showed that high BMI did not change the number of colonies at passage 1 in females and males. In contrast, significantly reduced colony numbers at passage 4 (P4) were found in both female and male donors with high BMI. The doubling time of hBMSCs was comparable between the normal and the high BMI groups of females and males. Furthermore, the results of trilineage differentiation did not differ between the different BMI groups of males. In females, the high and the normal BMI groups also showed similar adipogenic and chondrogenic differentiation, while osteogenic differentiation was significantly enhanced in the high-BMI group. Regarding the expression of surface antigens, the expressions of CD200 and SSEA4 on hBMSCs were reduced in the high-BMI group of females and males, respectively. In conclusion, high BMI suppressed the clonogenicity of female and male hBMSCs at P4, improved the in vitro osteogenesis of female hBMSCs, and decreased the expressions of CD200 on hBMSCs in females and SSEA4 in males.

Longitudinal multi-omics study reveals common etiology underlying association between plasma proteome and BMI trajectories in adolescent and young adult twins

BACKGROUND

The influence of genetics and environment on the association of the plasma proteome with body mass index (BMI) and changes in BMI remains underexplored, and the links to other omics in these associations remain to be investigated. We characterized protein-BMI trajectory associations in adolescents and adults and how these connect to other omics layers.

METHODS

Our study included two cohorts of longitudinally followed twins: FinnTwin12 (N = 651) and the Netherlands Twin Register (NTR) (N = 665). Follow-up comprised 4 BMI measurements over approximately 6 (NTR: 23-27 years old) to 10 years (FinnTwin12: 12-22 years old), with omics data collected at the last BMI measurement. BMI changes were calculated in latent growth curve models. Mixed-effects models were used to quantify the associations between the abundance of 439 plasma proteins with BMI at blood sampling and changes in BMI. In FinnTwin12, the sources of genetic and environmental variation underlying the protein abundances were quantified by twin models, as were the associations of proteins with BMI and BMI changes. In NTR, we investigated the association of gene expression of genes encoding proteins identified in FinnTwin12 with BMI and changes in BMI. We linked identified proteins and their coding genes to plasma metabolites and polygenic risk scores (PRS) applying mixed-effects models and correlation networks.

RESULTS

We identified 66 and 14 proteins associated with BMI at blood sampling and changes in BMI, respectively. The average heritability of these proteins was 35%. Of the 66 BMI-protein associations, 43 and 12 showed genetic and environmental correlations, respectively, including 8 proteins showing both. Similarly, we observed 7 and 3 genetic and environmental correlations between changes in BMI and protein abundance, respectively. S100A8 gene expression was associated with BMI at blood sampling, and the PRG4 and CFI genes were associated with BMI changes. Proteins showed strong connections with metabolites and PRSs, but we observed no multi-omics connections among gene expression and other omics layers.

CONCLUSIONS

Associations between the proteome and BMI trajectories are characterized by shared genetic, environmental, and metabolic etiologies. We observed few gene-protein pairs associated with BMI or changes in BMI at the proteome and transcriptome levels.

A cross-sectional study to compare levels of physical activity among adolescents in rural and urban areas of Western Maharashtra

Background

Childhood and adolescent overweight and obesity has been associated with long term health deterioration. Lack of physical activity in this age group is an important contributing factor towards increase in overweight and obesity. Due to vast socio-cultural differences across India, it is important to assess the patterns of physical activity in different age groups and regions, to understand the differences among adolescents in different socio-geographic regions. However, the studies from India are inconsistent due to use of varied parameters and methodology and a need was felt of incorporating easy to use measures of quantifying physical activity.

Methods

The study was carried out on 416 adolescents (aged 10 to 17 years) from 2 schools each from urban and rural area of Western Maharashtra. The study populations were stratified by gender and age. The data on physical activity was collected using a pre-tested, researcher-administered questionnaire adapted from the Global Physical Activity Questionnaire (GPAQ) and the Physical Activity Questionnaire- Adolescent (PAQ-A).

Results

16.8 percent of rural adolescents did not meet the defined criteria for adequate physical activity as compared to 33.2 percent in the urban population. Urban adolescent population was found to have significantly higher anthropometric measures of adiposity.

Conclusion

Higher proportion of adolescents performing adequate physical activity is likely to be a key factor in keeping the BMI and TMI lower in rural as compared to urban adolescent population.

Tri-ponderal mass index as a screening tool for obesity prediction in children aged 6-9 years

Objective

This study aimed to evaluate the efficiency of tri-ponderal mass index (TMI) in determining obesity in Chinese children aged 6-9 years, using the criteria of percentage of body fat (PBF) and body mass index z-scores (BMI-Z).

Methods

The cross-sectional study included 5365 children, aged 6-9 years, who participated in the project survey "Group prevention and treatment of obesity among students and school health promotion in Shanghai" from September 2007 to September 2009. Height, weight, waist circumference, body mass index (BMI), TMI, waist-to-height ratio (WHtR), and PBF were recorded. Statistical analyses including Kolmogorov-Smirnov test, chi-square test, receiver operating characteristics curve, and kappa chi-square test were performed.

Results

TMI for both sexes was relatively constant with increasing age, and statistically significant differences were not observed at some ages (P > 0.05 at 6, 7, 8, and 9 years). WHtR showed subtle changes, while BMI and PBF increased significantly with age in boys and girls (P < 0.01). Using BMI-Z criteria as the measure of general obesity, the results indicated that TMI cutoff values for 6-9 years were 14.60 kg/m3 for boys and 14.84 kg/m3 for girls (P < 0.001). Analysis of the agreement between TMI and BMI-Z showed that the kappa statistic was 0.826 in boys and 0.709 in girls (P < 0.001).

Conclusion

TMI, as a constant tool, holds great potential as an alternative screening method for identifying children aged 6-9 years who may be at risk of obesity at an early stage.

Sex differences in the association between stroke risk factors and pre-clinical predictors of stroke in the childhood determinants of Adult Health study

BACKGROUND AND AIMS

It is unclear why blood pressure (BP), metabolic markers and smoking increase stroke incidence in women more than men. We examined these associations with carotid artery structure and function in a prospective cohort study.

METHODS

Participants in the Australian Childhood Determinants of Adult Health study at ages 26-36 years (2004-06) were followed-up at 39-49 years (2014-19). Baseline risk factors included smoking, fasting glucose, insulin, systolic and diastolic BP. Carotid artery plaques, intima-media thickness [IMT], lumen diameter and carotid distensibility [CD] were assessed at follow up. Log binomial and linear regression with risk factor × sex interactions predicted carotid measures. Sex-stratified models adjusting for confounders were fitted when significant interactions were identified.

RESULTS

Among 779 participants (50% women), there were significant risk factor × sex interactions with baseline smoking, systolic BP and glucose associated with carotid measures in women only. Current smoking was associated with incidence of plaques (RRunadjusted 1.97 95% CI 1.4, 3.39), which reduced when adjusted for sociodemographics, depression, and diet (RRadjusted 1.82 95% CI 0.90, 3.66). Greater systolic BP was associated with lower CD adjusted for sociodemographics (βadjusted -0.166 95% CI -0.233, -0.098) and hypertension with greater lumen diameter (βunadjusted 0.131 95% CI 0.037, 0.225), which decreased when adjusted for sociodemographics, body composition and insulin (βadjusted 0.063 95% CI -0.052, 0.178). Greater glucose (βunadjusted -0.212 95% CI -0.397, -0.028) was associated with lower CD, which decreased when adjusted for sociodemographics, BP, depression and polycystic ovary syndrome (βadjusted -0.023 95% CI -0.249, 0.201).

CONCLUSIONS

Smoking, SBP and glucose affect carotid structure and function more in women than men with some of this risk due to co-occurring risk factors.

Associations between tri-ponderal mass index, body mass index, and high blood pressure among children and adolescents: a cross-sectional study

High blood pressure (HBP) and obesity are major public health issues globally. The aim of the study was to evaluate the associations between tri-ponderal mass index (TMI) and body mass index (BMI) and HBP and to determine which anthropometric parameters may best predict HBP among Lithuanian children and adolescents aged 7-18 years. This cross-sectional study included 3710 Lithuanian children and adolescents aged 7-18 (52.7% boys and 47.3% girls). Each subject's height, weight, and other anthropometric parameters, as well as blood pressure were measured according to standardized protocols; subsequently, TMI and BMI were calculated. The prevalence of HBP was 27% (the prevalence of elevated BP and hypertension was 13.7% and 13.3%, respectively), significantly higher for boys than for girls. The Pearson correlation coefficients between the BMI z-score and BP were higher than those between the TMI z-score and BP. In both sexes combined, the adjusted odds ratios (aOR) for HBP were increased significantly with increasing quartiles of TMI and BMI as compared to the first quartile (Q1) (Q2: aOR = 1.37 and aOR = 1.69; Q3: aOR = 2.10 and aOR = 2.27; Q4: aOR = 3.95 and aOR = 4.91, respectively). Significant associations also were observed between overweight and obesity (defined according to two methods: age- and sex-specific TMI percentiles and IOTF criteria) among boys and girls separately. BMI presented a higher area under the curve value than TMI for predicting HBP in children and adolescents. The findings of the study suggest that BMI and TMI are significantly associated with HBP. However, BMI is a better predictor for HBP than TMI among Lithuanian children and adolescents aged 7-18 years.

Performance of triponderal mass index, body mass index z scores, and body mass index performance in the diagnosis of obesity in children and adolescents

OBJECTIVES

Childhood obesity is a global health problem that affects millions of children and causes obesity-related adverse health outcomes in both childhood and adulthood. Although body mass index (BMI) z scores and percentiles are used in the diagnosis of obesity in children, it has been emphasized in recent years that the triponderal mass index (TMI) may be more accurate for this purpose. We aimed to compare TMI with BMI in the diagnosis of obesity in Turkish children and adolescents.

METHODS

The records of 3540 children who applied to Gülhane Training and Research Hospital were retrospectively scanned and the data of 1161 children were included in the study. The body fat percentage (BF%) was calculated by a formula, and children with body fat in the ≥95th percentile were classified as obese. Receiver study characteristics analysis was performed to compare the effectiveness of TMI and BMI in the diagnosis of obesity.

RESULTS

TMI correlated more with BF% (r = 0.863) than fat mass (r = 0.664); BMI correlated more with fat mass (r = 0.957) than BF% (r = 0.714) (P < 0.001). TMI had the highest area under the curve (AUC) in boys at diagnosis of obesity (6-11 y = 0.981; 12-15 y = 0.994). Girls ages 6 to 11 y had the same AUC for all 3 indexes (AUC = 0.977), whereas girls ages 12 to 15 y had the highest AUC for TMI (AUC = 0.967). However, the AUC values between all indices were very close.

CONCLUSIONS

TMI can be used to diagnose obesity in Turkish children and adolescents in both boys and girls similarly and with good performance. The correlation with BF% and stability of TMI makes this index more advantageous. However, it should be noted that the performance of each of the 3 indices is very close to that of the others, and adjustments should be made according to age and sex.

Association between dietary vitamin E intake and cognitive decline among old American: National Health and Nutrition Examination Survey

PURPOSE

Numerous studies have reported that vitamin E plays a key role in nervous system development and neurotransmitter production. This study aimed to investigate changes in vitamin E intake in older adults with low cognitive performance using NHANES.

METHODS

In this cross-sectional study, we examined a sample of 2255 American adults aged 60 and over between 2011 and 2014. We collected dietary data by averaging two recalls for dietary use to determine vitamin E intake. We assessed cognitive function using five tests and analyzed the association between these variables using a multivariate logistic regression model.

RESULTS

A total of 2255 participants aged ≥ 60 years from the National Health and Nutrition Examination Survey (NHANES) for the 2011-2014 cycle were included in the analysis. Vitamin E intake was negatively associated with cognitive function. In the Z test, with each 1 mg/day increase in dietary intake of vitamin E, there was a 6% decrease in the correlation with cognitive impairment (OR = 0.94, 95% CI 0.91-0.97) in the fully fitted model (OR = 0.94, 95% CI 0.91-0.97). These findings remained consistent when analyzing the exposure as a categorical variable. In comparison to Q1, Q4 showed a 53% reduction in the incidence of cognitive impairment in the Z test (OR = 0.47, 95% CI 0.33-0.67).No significant statistical interaction between the variables was found.

CONCLUSION

An increased dietary intake of vitamin E has been associated with decreased cognitive impairment in individuals over 60 years old. The dose-response curve showed an L-shaped association between dietary vitamin E intake and cognitive decline in US adults, with an inflection point of approximately 9.296 mg/day.

Comparison of Several Anthropometric Indices Related to Body Fat in Predicting Cardiorespiratory Fitness in School-Aged Children-A Single-Center Cross-Sectional Study

Body fat (BF) and cardiorespiratory fitness (CRF) are important health markers that ought to be considered in screening exams. The aim of this study was to assess the value of six indicators, i.e., tri-ponderal mass index (TMI), relative fat mass (RFM), waist-BMI ratio, waist-to-height ratio (WHtR), waist-to-hip ratio (WHR) and body mass index (BMI) in predicting CRF in school-aged children. The analysis was based on the data coming from the examination of 190 children participating in school physical education (PE) classes. Their body weight (BW) and height (BH), waist and hip circumference (WC; HC) and percentage of body fat (%BF) were measured; the CRF test was performed with the use of the 20 m shuttle run test (20 mSRT); peak heart rate (HRpeak) was measured; TMI, relative fat mass pediatric (RFMp), waist-BMI ratio, WHtR, BMI and WHR were calculated. Statistical analysis was mainly conducted using regression models. The developed regression models, with respect to the sex and age of the children, revealed RFMp as the strongest CRF indicator (R2 = 51.1%) and WHR as well as waist-BMI ratio as the weakest ones (R2 = 39.2% and R2 = 40.5%, respectively). In predicting CRF in school-aged children, RFMp turned out to be comparable to body fat percentage obtained by means of the bioimpedance analysis (BIA) (R2 = 50.3%), and as such it can be used as a simple screening measure in prophylactic exams of school children. All of these models were statistically significant (p < 0.001).

Weight trajectories and obesity remission among school-aged children

BACKGROUND

Many studies examining weight trajectories have used adiposity measures shown to be problematic for trajectory analysis in children with obesity, and remission of obesity remains poorly understood.

OBJECTIVES

To describe weight trajectories for school-aged children, the rate of obesity remission and factors associated.

METHODS

Children between 6 and 11 years of age with ≥3 valid height and weight measurements from an Oregon hospital-system over a minimum six-month period were included. Percent distance from the median body mass index (BMI) was used for modeling. Latent class analysis and linear mixed models were used to classify children based on their weight trajectory.

RESULTS

We included 11,247 subjects with a median of 2.1 years of follow-up, with 1,614 (14.4%) classified as overweight and 1,794 (16.0%) classified as obese. Of subjects with obesity, 1% experienced remission during follow-up, whereas 23% of those with overweight moved to within a healthy weight range. Latent class analysis identified three classes within each weight-based stratum over time. The majority of children with overweight or obesity had a flat trajectory over time. Lower socioeconomic status was associated with a worsening trajectory. Latent class models using alternate measures (BMI, BMI z-scores, tri-ponderal mass index (TMI)) differed substantially from each other.

CONCLUSIONS

Obesity remission was uncommon using the adiposity metric of distance from the median though transition from overweight to healthy weight was more common. Children with low socioeconomic status have worse trajectories overall. The choice of adiposity metric may have a substantial effect on the outcomes.

[Body mass index and triponderal index in abnormal uterine bleed]

Background

Abnormal uterine bleeding (AUB) is the most common cause of blood loss. Obesity and overweight are risk factors for AUB.

Objective

To compare the association between body mass index (BMI) and tri-ponderal mass index (TMI) with the presence of acute AUB and chronic AUB.

Material and methods

Observational, cross-sectional and analytical study. Women between 18 and 45 years of age with an alteration in the regular uterine bleeding pattern were included. Postmenopausal women, carriers of an intrauterine device as a method of family planning who have developed alterations in the menstrual rhythm after it, those who suffered from chronic diseases (chronic kidney disease, diabetes mellitus and uncontrolled hypothyroidism) and those with medication consumption that alter coagulation were not included. Pregnant patients were excluded.

Results

A total of 292 women with AUB were analyzed, with a median age of 38.5 (IQR 33-41), with bleeding of 205.4 mL (±142.9) and 116 (39.86%) of them with overweight. When analyzing the BMI with SUA, we found no significant difference in the presence of acute or chronic bleeding in the overweight (p = 0.46) and obese (p = 0.41) groups. When analyzing the IMT with the presence of acute or chronic AUB, it was not possible to find a significant difference in the overweight (p = 0.98) and obesity (p = 0.93) groups.

Conclusions

The BMI was compared with the TMI for the presence of AUB, without finding a significant association.

LSS rs2254524 Increases the Risk of Hypertension in Children and Adolescents with Obesity

Childhood obesity and its related comorbidities have become major health issues over the last century. Among these comorbidities, cardiovascular diseases, especially hypertension, are the most significant. Recently, a polymorphism affecting the activity of lanosterol synthase has been associated with an increased risk of hypertension in adolescents. In this study, we aimed to investigate the effect of LSS rs2254524 polymorphism on blood pressure in children and adolescents with obesity. We enrolled 828 obese children aged 6-17 years. Subjects carrying the A allele showed higher rates of systolic and diastolic stage I hypertension and stage II hypertension. Carriers of the A allele showed a 2.4-fold (95% C.I. 1.5-4.7, p = 0.01) higher risk for stage II hypertension and a 1.9-fold higher risk for stage I hypertension (95% C.I. 1.4-2.6, p < 0.0001). The risk was independent of confounding factors. In conclusion, LSS rs2254524 worsens the cardiovascular health of children and adolescents with obesity, increasing their blood pressure.

Breastfeeding Duration and Timing of Bottle Supplementation: Associations with Body Mass Index from Childhood to Young-Adulthood

Evidence for the association between breastfeeding (BF) duration and later body mass index (BMI) is inconsistent. We explored how BF duration and BF type (exclusive or partial) related to BMI from childhood to young adulthood in a Chilean cohort. Infants were recruited at 6 months between 1994 and 1996 in Santiago, Chile (n = 821). Mothers reported date of first bottle and last BF; anthropometry was measured at 1, 5, 10, 16, and 23 years. We tested whether: (1) type of BF at 6 months (none, partial, exclusive) and (2) duration of exclusive BF (<1 month, 1 to <3 months, 3 to <6 months, and ≥6 months) related to BMI. At 6 months, 35% received both breastmilk and formula ("partial BF") and 38% were exclusively breastfed. We found some evidence of an association between longer BF and lower BMI z-scores at young ages but observed null effects for later BMI. Specifically, BF for 3 to <6 months compared to <1 month related to lower BMI z-scores at 1 and 5 years (both p < 0.05). Our results are in partial accordance with others who have not found a protective effect of longer BF for lower BMI.

Longitudinal multi-omics study reveals common etiology underlying association between plasma proteome and BMI trajectories in adolescent and young adult twins

Background

The influence of genetics and environment on the association of the plasma proteome with body mass index (BMI) and changes in BMI remain underexplored, and the links to other omics in these associations remain to be investigated. We characterized protein-BMI trajectory associations in adolescents and adults and how these connect to other omics layers.

Methods

Our study included two cohorts of longitudinally followed twins: FinnTwin12 (N=651) and the Netherlands Twin Register (NTR) (N=665). Follow-up comprised four BMI measurements over approximately 6 (NTR: 23-27 years old) to 10 years (FinnTwin12: 12-22 years old), with omics data collected at the last BMI measurement. BMI changes were calculated using latent growth curve models. Mixed-effects models were used to quantify the associations between the abundance of 439 plasma proteins with BMI at blood sampling and changes in BMI. The sources of genetic and environmental variation underlying the protein abundances were quantified using twin models, as were the associations of proteins with BMI and BMI changes. In NTR, we investigated the association of gene expression of genes encoding proteins identified in FinnTwin12 with BMI and changes in BMI. We linked identified proteins and their coding genes to plasma metabolites and polygenic risk scores (PRS) using mixed-effect models and correlation networks.

Results

We identified 66 and 14 proteins associated with BMI at blood sampling and changes in BMI, respectively. The average heritability of these proteins was 35%. Of the 66 BMI-protein associations, 43 and 12 showed genetic and environmental correlations, respectively, including 8 proteins showing both. Similarly, we observed 6 and 4 genetic and environmental correlations between changes in BMI and protein abundance, respectively. S100A8 gene expression was associated with BMI at blood sampling, and the PRG4 and CFI genes were associated with BMI changes. Proteins showed strong connections with many metabolites and PRSs, but we observed no multi-omics connections among gene expression and other omics layers.

Conclusions

Associations between the proteome and BMI trajectories are characterized by shared genetic, environmental, and metabolic etiologies. We observed few gene-protein pairs associated with BMI or changes in BMI at the proteome and transcriptome levels.

Accuracy and capability of tri-ponderal mass index in assessing cardio-metabolic risk factors in Chinese children and adolescents aged 3 to 17 years, compared with body mass index

BACKGROUND

Tri-ponderal mass index (TMI) has been reported to be a more accurate estimate of body fat than body mass index (BMI). This study aims to compare the effectiveness of TMI and BMI in identifying hypertension, dyslipidemia, impaired fasting glucose (IFG), abdominal obesity, and clustered cardio-metabolic risk factors (CMRFs) in 3- to 17-year-old children.

METHODS

A total of 1587 children aged 3 to 17 years were included. Logistic regression was used to evaluate correlations between BMI and TMI. Area under the curves (AUCs) were used to compare discriminative capability among indicators. BMI was converted to BMI- z scores, and accuracy was compared by false-positive rate, false-negative rate, and total misclassification rate.

RESULTS

Among children aged 3 to 17 years, the mean TMI was 13.57 ± 2.50 kg/m 3 for boys and 13.3 ± 2.33 kg/m 3 for girls. Odds ratios (ORs) of TMI for hypertension, dyslipidemia, abdominal obesity, and clustered CMRFs ranged from 1.13 to 3.15, higher than BMI, whose ORs ranged from 1.08 to 2.98. AUCs showed similar ability of TMI (AUC: 0.83) and BMI (AUC: 0.85) in identifying clustered CMRFs. For abdominal obesity and hypertension, the AUC of TMI was 0.92 and 0.64, respectively, which was significantly better than that of BMI, 0.85 and 0.61. AUCs of TMI for dyslipidemia and IFG were 0.58 and 0.49. When 85th and 95th of TMI were set as thresholds, total misclassification rates of TMI for clustered CMRFs ranged from 6.5% to 16.4%, which was not significantly different from that of BMI- z scores standardized according to World Health Organization criteria.

CONCLUSIONS

TMI was found to have equal or even better effectiveness in comparison with BMI in identifying hypertension, abdominal obesity, and clustered CMRFs TMI was more stable than BMI in 3- to 17-year-old children, while it failed to identify dyslipidemia and IFG. It is worth considering the use of TMI for screening CMRFs in children and adolescents.

Percent body fat, but not body mass index, is associated with cardiometabolic risk factors in children and adolescents

Background

The epidemic of overweight and obesity has become a worldwide public health problem. Cardiometabolic diseases may originate in childhood. We investigated the association between percent body fat (PBF) measured by the bioelectrical impedance assay and cardiometabolic risk (CMR) in pediatrics.

Methods

This cross-sectional study involved 3819 subjects (6-17 years old) in Shanghai. We assessed the association between PBF and body mass index (BMI) with multiple CMR factors. We examined the risk for cardiometabolic abnormalities attributable to overweight and obesity based on age- and sex-specific PBF Z-scores and BMI Z-scores, respectively.

Results

PBF, but not BMI, was positively associated with multiple CMR factors in males and females except for total cholesterol in females (all p < 0.05). Compared with the non-overweight group based on PBF, overweight and obese subjects had increasingly higher odds ratio of dyslipidemia (2.90 (1.99-4.23), 4.59 (2.88-7.32) for males and 1.82 (1.20-2.75), 2.46 (1.47-4.11) for females) and elevated blood pressure (BP) (3.26 (2.35-4.51), 4.55 (2.92-7.09) for males and 1.59 (1.07-2.34), 3.98 (2.27-6.17) for females). Obesity females showed a higher likelihood for hyperglycemia (2.19 (1.24-3.84)) than non-overweight females. In both sexes, the predictive effect of PBF on dyslipidemia and elevated BP in adolescents was better than that in children. For hyperglycemia, the predictive effect of PBF was better in male adolescents and female children. There was no risk difference for cardiometabolic abnormalities attributable to BMI-based obesity categories.

Conclusions

PBF but not BMI was associated with CMR. Overweight and obesity categories based on PBF had an increased risk for cardiometabolic abnormalities in children and adolescents.

Asthma prevalence is increased in patients with high metabolism scores for visceral fat: study reports from the US

Objective

Data from NHANES 2001-2018 were used to examine the relationship between metabolism score for visceral fat (METS-VF) and asthma prevalence.

Methods

We assessed the association between METS-VF and asthma disease using multiple logistic regression analysis from the National Health and Nutrition Examination Survey (NHANES), 2001-2018, followed by subgroup analysis for sensitive populations. To determine whether METS-VF and asthma disease had a non-linear relationship, smooth curve fitting was used, and threshold effect analysis was used to verify the relationship.

Results

Among the 36,876 participants, 4,919 self-reported having asthma. When all confounders were controlled for, a positive association was found between METS-VF and asthma prevalence (OR = 1.27, 95% CI: 1.22,1.32), and this positive association was stronger with elevated METS-VF (P for trend = 0.01). According to the smooth curve fitting analysis, METS-VF and asthma prevalence do not have a linear relationship. The double-segmented threshold effect analysis suggested a negative correlation but no statistically significant difference between METS-VF less than 5.24 and asthma prevalence (OR = 0.60, 95% CI: 0.33, 0.91). Besides, other METS-VF showed positive associations with asthma prevalence before and after the effective inflection point. According to subgroup analysis, METS-VF is associated with asthma prevalence among participants aged 40 - 59, male, Mexican American, with hypertension and diabetes, and without asthma history.

Conclusion

A positive correlation between METS-VF and asthma was observed and this positive correlation was non-linear, and participants with METS-VF above 5.24 should be cautious about the high risk of asthma. The relationship should be given more attention to participants who are aged 40-59 years old, male, Mexican American, have hypertension, diabetes, and who do not have a family history of asthma.

Reference percentiles for tri-ponderal mass index and its association with general and abdominal obesity among Iranian children and adolescents: A report from the SHED LIGHT study

BACKGROUND

The body mass index (BMI) has some limitations in identifying obesity, particularly among children and adolescents.

OBJECTIVES

We sought to determine the reference percentiles of tri-ponderal mass index (TMI) for Iranian population, and its relation to BMI, waist circumference (WC), and waist circumference-to-height ratio (WHtR).

METHODS

Baseline characteristics for 14 641 children and adolescents were applied. The area under the characteristics (AUC) curve and optimal cut-off points for TMI were used to define the accuracy of TMI for discriminating general and central obesity compared to other anthropometric measurements.

RESULTS

TMI levels remained stable from 6 to 18 years with a small range of difference. The highest AUCs for discriminating obesity according to BMI and WHtR ≥0.5 from non-obese subjects were related to TMI (0.980) and TMI (0.912), respectively, and these findings were similar for both sexes. Moreover, the AUC for TMI to discriminate central obesity by WHtR was higher than that for BMI (0.912 vs. 0.833, p < .001), and this difference was similar among sex and age groups. The optimal value of TMI for discriminating general obesity, obesity by WC, and obesity by WHtR were 15.2 (sensitivity 96.2 and specificity 89.8), 15 (sensitivity 86.9 and specificity 79.9), and 13.9 (sensitivity 85.1 and specificity 81.5), respectively.

CONCLUSIONS

TMI discriminated central obesity by WHtR more accurately than obesity by BMI among Iranian children and adolescents irrespective of sex. Besides it remained relatively constant across age- and sex-specific groups providing a single optimal cut-off point for screening obesity during childhood and adolescence.

Nomogram model for the risk of insulin resistance in obese children and adolescents based on anthropomorphology and lipid derived indicators

OBJECTIVE

This study aims to screen for measures and lipid-derived indicators associated with insulin resistance (IR) in obese children and adolescents and develop a nomogram model for predicting the risk of insulin resistance.

METHODS

A total of 404 eligible obese children and adolescents aged 10-17 years were recruited for this study from a summer camp between 2019 and 2021. The risk factors were screened using the least absolute shrinkage and selection operator (LASSO)-logistic regression model, and a nomogram model was developed. The diagnostic value of the model was evaluated by plotting the receiver operator characteristic curve and calculating the area under the curve. Internal validation was performed using the Bootstrap method, with 1000 self-samples to evaluate the model stability. The clinical applicability of the model was assessed by plotting the clinical decision curve.

RESULTS

On the basis of the LASSO regression analysis results, three lipid-related derivatives, TG/HDL-c, TC/HDL-c, and LDL-c/HDL-c, were finally included in the IR risk prediction model. The nomogram model AUC was 0.804 (95% CI: 0.760 to 0.849). Internal validation results show a C-Index of 0.799, and the mean absolute error between the predicted and actual risks of IR was 0.015. The results of the Hosmer-Lemeshow goodness-of-fit test show a good model prediction (χ² = 9.523, P = 0.300).

CONCLUSION

Three early warning factors, TG/HDL-c, TC/HDL-c, and LDL-c/HDL-c, were screened, which can effectively predict the risk of developing IR in obese children and adolescents, and the nomogram model has an eligible diagnostic value.

Pediatric obesity and severe asthma: Targeting pathways driving inflammation

Asthma affects more than 300 million people of all ages worldwide, including about 10-15% of school-aged children, and its prevalence is increasing. Severe asthma (SA) is a particular and rare phenotype requiring treatment with high-dose inhaled corticosteroids plus a second controller and/or systemic glucocorticoid courses to achieve symptom control or remaining "uncontrolled" despite this therapy. In SA, other diagnoses have been excluded, and potential exacerbating factors have been addressed. Notably, obese asthmatics are at higher risk of developing SA. Obesity is both a major risk factor and a disease modifier of asthma in children and adults: two main "obese asthma" phenotypes have been described in childhood with high or low levels of Type 2 inflammation biomarkers, respectively, the former characterized by early onset and eosinophilic inflammation and the latter by neutrophilic inflammation and late-onset. Nevertheless, the interplay between obesity and asthma is far more complex and includes obese tissue-driven inflammatory pathways, mechanical factors, comorbidities, and poor response to corticosteroids. This review outlines the most recent findings on SA in obese children, particularly focusing on inflammatory pathways, which are becoming of pivotal importance in order to identify selective targets for specific treatments, such as biological agents.

Improvement of sarcopenia is beneficial for prognosis in cirrhotic patients after TIPS placement

BACKGROUND

The relationship between the improvement of sarcopenia and post-TIPS prognosis has not been fully investigated.

AIMS

To assess what level of sarcopenia improvement is required for potential benefits to post-TIPS prognosis.

METHODS

In this retrospective study, 109 cirrhotic patients with sarcopenia who underwent TIPS between February 2016 and January 2021 were included. The change in skeletal muscle index (SMI) at 6 months post-TIPS was assessed and the correlations of SMI improvement with clinical outcomes were analyzed.

RESULTS

During follow up, 59 (65.6%) patients reversed from sarcopenic to non-sarcopenic, and the cumulative mortality (8.5 % vs. 26.0%, log rank P = 0.013) and incidence of overt hepatic encephalopathy (OHE) (18.6% vs. 44.0%, log rank P = 0.004) in patients who reversed were significantly lower than who did not. SMI improvement rate was identified as an independent risk factor for mortality and OHE. In addition, the cumulative survival rate of patients with sarcopenia reversal or SMI improvement rate > 10.4% was significantly higher than that of patients with an SMI improvement rate ≤ 10.4% (92.5% vs. 58.6%, log rank P < 0.001).

CONCLUSION

Reversal of sarcopenia or significant SMI improvement by TIPS could reduce the risk of death and OHE.

BMI trajectory and inflammatory effects on metabolic syndrome in adolescents

BACKGROUND

Various life course factors can affect susceptibility to diseases during adolescence and adulthood, and those relationships are complex. However, few studies have assessed the potential mediating factors. Therefore, we assessed the mediating effects of factors related to growth and inflammation between perinatal factors and metabolic syndrome risk during adolescence.

METHODS

The study was conducted on adolescents who participated in the follow-up in the Ewha Birth and Growth Cohort. We considered the ponderal index (PI) as a perinatal factor and the continuous metabolic syndrome score (cMetS) as the outcome and confirmed the mediating effects of body mass index (BMI) trajectory pattern in childhood and inflammation levels by using the PROCESS macro for SAS.

RESULTS

Although the direct effect of BMI trajectory on the relationship between PI and cMetS was not significant (0.545), the indirect effect was significant (1.044). In addition, the indirect effect was statistically significant in the pathways mediating the BMI trajectory pattern and inflammation (β = 1.456).

CONCLUSIONS

The direct and indirect effects on the relationship between PI and cMetS suggest that childhood factors related to growth may be involved in disease susceptibility. Therefore, appropriate interventions for the management of obesity during the growth phase are necessary.

IMPACT

Unlike other existing studies, this study assessed multiple mediating effects by considering the BMI trajectory pattern and inflammatory indexes as mediating factors between the ponderal index and the continuous metabolic syndrome score during adolescence. We found significant indirect effects of the BMI trajectory between PI and cMetS, and also significant indirect effects in the pathways mediating the BMI trajectory and hs-CRP. The significant indirect mediating effects support that childhood factors related to growth may be involved in disease susceptibility.

Triponderal mass index and markers of metabolic risk in children and adolescents with obesity

BACKGROUND AND OBJECTIVE

Triponderal mass index (TMI) would estimate excess adiposity better than body mass index (BMI), maintaining stable values during childhood. This work aims to determine the correlation between TMI and markers of metabolic risk as well as set values of TMI that are related to an increase of metabolic risk.

MATERIAL AND METHODS

Multicenter, observational, cross-sectional and prospective study in children under 14 years of age with obesity.

VARIABLES

age, sex, pubertal stage, weight, height, abdominal circumference, BMI, TMI, basal glucose and insulin, HOMA index, blood pressure, lipoprotein profile, transaminases and uric acid. BMI and TMI were expressed according to the values of the Barcelona longitudinal study. Statistical analysis was performed with the SPSS* program.

RESULTS

One hundred and ninety-nine patients (50.3% male), age 11.08 (2.48) years, TMI 19.68 (2.36)kg/m³. Correlation between TMI and abdominal circumference (r=0.571; p=0), insulin (r=0.198; p=0.005), HOMA index (r=0.189; p=0.008) and HDL-c (r=-0.188; p=0.008) was observed. IMT>20.15kg/m³ was associated with insulin≥15mIU/ml (p=0.029) and IMT>20.36kg/m³ with HDL-c<40mg/dl (p=0.023).

CONCLUSIONS

TMI was correlated with increase of abdominal circumference, insulin and HOMA index and decrease of HDL-c. IMT>20kg/m³ can be associated with increased insulin and decreased HDL-c. Therefore, the IMT seems to be a useful parameter in the assessment of pediatric patients with obesity.

Prediction equations for maximal heart rate in obese and nonobese children and adolescents: a systematic review and meta-analysis

OBJECTIVE

The aim of this study was to analyze which equation best estimates maximal heart rate (HRmax) for the pediatric population according to body mass.

DATA SOURCE

We performed a meta-analysis (PROSPERO No. CRD42020190196) of cross-sectional studies that aimed to validate or develop HRmax equations and that had children and adolescents as samples. The search was conducted in Scopus, Science Direct, Web of Science, PubMed, and Biblioteca Virtual em Saúde with the descriptors "prediction or equation," "maximal heart rate," "maximum heart rate," "determination of heart rate," children, and adolescent. The TRIPOD Statement tool was used to assess the methodological quality and the relevant data were extracted for analysis. The meta-analysis was conducted in the Comprehensive Meta-Analysis, adopting p<0.05 and a 95% confidence interval (CI).

DATA SYNTHESIS

In total, 11 studies were selected, of which 3 developed predictive equations, 10 performed external validity of the preexisting models, and 1 incremented values related to equations already developed. The results of the methodological quality analysis showed a moderate rating in most studies. The 164 + (0.270 × HRres) - (0.155 × body mass) + (1.1 × METs) + (0.258 × body fat percent) (r=0.500, 95%CI 0.426-0.567, p<0.001) and 166.7+ (0.46 × HRres) + (1.16 × maturation) (r=0.540, 95%CI 0.313-0.708, p<0.001) equations presented stronger correlations with measured HRmax in nonobese adolescents. The predictive model developed by 208 - (0.7 × age) showed a greater accuracy among the possible models for analysis (SDM=-0.183, 95%CI -0.787 to -0.422, p=0.554). No specific predictive equation was found for obese adolescents.

CONCLUSIONS

Future research should explore new possibilities for developing predictive equations for this population as a tool to control exercise intensity in the therapeutic management of childhood and adolescent obesity.