Percent body fat is a better predictor of cardiovascular risk factors than body mass index

Association between body composition components and electrocardiogram parameters: results from the Fasa Adults Cohort Study (FACS)

OBJECTIVE

Cardiovascular diseases as the leading cause of death and disability are increasing worldwide. The present study aimed to investigate the association between total body water, total fat percent, and trunk fat percent with electrocardiogram (ECG) parameters in the Persian Fasa Adult Cohort Study (FACS).

METHODS

This cross-sectional study was performed on the baseline information obtained from 3217 35-70-year-old participants of the FACS, southern Iran. Various ECG and body composition parameters were obtained from the FACS baseline database. Independent t-test, Chi-square test and linear regression were used for data analysis.

RESULTS

Total body water (TBW) was positively associated with QRS length in men and women, and with PD and PR interval in women, exclusively. Additionally, in participants without chronic diseases (healthy group), TBW was shown to be positively associated with QRS length and PD; however, it was associated with QRS length and S wave in V3 lead (SV3) among those with type two diabetes, hypertension or ischemic heart disease (defined as unhealthy group). Total body fat percent (TBFP) was linearly associated with SV3 in unhealthy group. None of the studied ECG parameters was associated with TBFP in men, women and healthy group. Moreover, trunk fat percent was shown to be positive associated with R wave in aVL lead in women and unhealthy groups.

CONCLUSION

Body fat percentage and fat distribution may affect ECG parameters, and subsequently associated with cardiovascular diseases, such as arrhythmias. Thus, these indicators may carry the potential for screening high-risk individuals.

Association between phase angle and body composition: New equations to predict fat mass and skeletal muscle mass

OBJECTIVE

The aim of this cross-sectional study was to develop new regression equations for estimating fat mass (FM) and skeletal muscle mass (SMM) in a heterogeneous Caucasian population, using the phase angle (PhA) as a bioelectrical parameter and DXA as the reference method. We also aimed to cross-validate the new equations, and to compare them with the manufacturers' equations.

METHODS

The 212 healthy Caucasian participants aged 20-65 years were randomly distributed into two groups: development group (n = 141) and validation group (n = 71). Bioelectrical parameters were obtained with a 50 kHz foot-to-hand phase-sensitive body composition analyzer. The new FM percentage (FM%) and SMM percentage (SMM%) equations were developed by performing multiple forward regression analyses. Agreement between DXA and the different equations was assessed by mean differences, coefficient of determination, standard error of the estimate (SEE), concordance correlation coefficient (CCC), and Bland-Altman plots.

RESULTS

The proposed equations explained 89.2% of the variance in the DXA-derived FM% and 91.8% in the DXA-derived SMM%, with low random errors (SEE = 3.04% and 1.92%, respectively), and a very strong agreement (CCC = 0.93 and 0.94, respectively). In addition, they demonstrated no fixed bias and a relatively low individual variability. However, the manufacturer's equations described a lower percentage of the variance, with higher random errors, obtained fixed bias of -5.77% for FM% and 4.91% for SMM%, as well as higher individual variability.

CONCLUSIONS

The new regression equations, which include the PhA as a bioelectrical parameter, can accurately predict DXA-derived FM% and SMM% in a heterogeneous Caucasian population, and are better options than the manufacturer's equations.

Cyclic yoga improves anthropometric indices, musculoskeletal disorders, and blood pressure in middle-aged women

BACKGROUND

The new and therapeutic style of cyclic yoga, which is the art of aligning asana, pranayama, and yoga mudra techniques, can be used as a non-invasive style to improve or prevent some musculoskeletal disorders. For this purpose, this study was designed to investigate a selected course of cyclic yoga practice on some anthropometric indicators, musculoskeletal disorders, and blood pressure in middle-aged women.

METHODS

ː Forty-two middle-aged women were assigned either to cyclic yoga (n = 21, 53.76 ± 4.073 years) or the control group (n = 21, 53.57 ± 4.781 years). The cyclic yoga group received yoga intervention for 10 weeks, three sessions per week, and 50-90 min per session. MANCOVA test was used for inter-group comparison, and variance with repeated measures was used for intra-group measurement.

RESULTS

A 10-week of yoga training decreased weight, hip circumference, body mass index, percentage of body fat, waist-to-height ratio, round shoulder, thoracic kyphosis angle, lumbar lordosis angle, systolic blood pressure, and diastolic blood pressure. In addition, a significant increase in the percentage muscle mass variable was reported in the cyclic yoga group. There was also a difference between the two cyclic yoga and control groups in the post-test in the waist-to-height ratio, round shoulder, thoracic kyphosis angle, lumbar lordosis angle, systolic blood pressure, and diastolic blood pressure variables.

CONCLUSIONS

ː The results suggest that cyclic yoga exercises, as an effective therapeutic alternative, low-cost, and accessible lead to the improvement of the round shoulder, hyperkyphosis, hyperlordosis, some anthropometric indices, and blood pressure.

Association between normal weight obesity and comorbidities and events of cardiovascular diseases among adults in South China

BACKGROUND

The increased risks for cardiovascular comorbidities and cardiovascular diseases (CVD) in populations with normal weight obesity (NWO) have not been well-identified. We aimed to study their associations in an adult population in South China.

METHODS

Based on the CVD prevalence of 4% in Shenzhen and a calculated sample size of 6,000, a cross-sectional study with a multi-stage stratified cluster sampling method was conducted in Shenzhen City. The cardiovascular comorbidities being studied were abdominal obesity (AO), diabetes, hypertension, dyslipidemia, metabolic syndrome, and chronic kidney disease, while the CVD events were occurrences of myocardial infarction and strokes. Questionnaire surveys, physical examinations, and laboratory tests were performed. NWO was defined as a condition with the highest tertile of body fat percentage (BF%) among the normal body mass index (BMI) range (18.5-23.9 kg/m2). Continuous data were reported as mean [standard deviation (SD)] and categorical data as percentages (%). CVD comorbidities and CVD events and their detection rates in different groups were compared using ANONA analysis and Chi-squared test. Spearman's correlation coefficients between BF% and cardiometabolic abnormalities were calculated by partial correlation analysis. Multivariate logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for BF%, CVD comorbidities, and CVD events, adjusted for multiple confounders.

RESULTS

Among the total 6,240 subjects who completed the study and had BMI and BF% data available, 3,086 had normal BMI. The prevalence of NWO was 16.36%, with 13.15% for men and 19.54% for women. With confounders adjusted, the risks of AO (OR = 6.05, 95%CI = 3.40-10.75), essential hypertension (OR = 1.56, 95%CI = 1.09-2.22), dyslipidemia (OR = 1.85, 95%CI = 1.49-2.29), and metabolic syndrome (OR = 4.61, 95%CI = 2.32-9.18) were significantly increased in the populations with NWO compared with the population without NWO (P < 0.05). BF% was not significantly associated with the risk of CVD events in the total (OR = 1.56, 95%CI = 0.83-2.93), male (OR = 1.00, 95%CI = 0.44-2.30), and female populations (OR = 2.53, 95%CI = 0.91-7.06).

CONCLUSION

NWO was found to be positively associated with CVD comorbidities but not with CVD events. The current study provides a ground to conduct further studies on whether body fat affects the risk of occurrence of CVD events and the underlying mechanisms in the future.

Association between lifetime endogenous estrogen exposure and body composition metrics in postmenopausal women: findings from the Tehran Lipid and Glucose Study

BACKGROUND

The role of endogenous estrogen exposure (EEE) in shaping body composition and its implications for cardiometabolic health remain understudied despite its potential significance. This cross-sectional study aimed to investigate the association between EEE and body composition indices among postmenopausal women.

METHODS

Data were obtained from the Tehran Lipid and Glucose Study (TLGS), including 960 women aged over 40 years. EEE was calculated based on reproductive events, and participants were categorized into tertiles. Anthropometric measurements and body composition were assessed using standardized protocols. Linear regression models were employed to evaluate associations, adjusting for potential confounders.

RESULTS

It was revealed significant differences in body composition indices across EEE tertiles, with increasing EEE associated with decreased fat mass, skeletal muscle mass, and fat-free mass. Moreover, women with higher EEE exhibited lower anthropometric and body composition measurements compared to those with lower EEE, even after adjusting for confounding factors. Specifically, for each year of increasing EEE, fat mass decreased by 0.12 kg, skeletal muscle mass by 0.04 kg, fat-free mass by 0.07 kg, and fat mass ratio decreased by 0.003. Comparing tertiles, women with the highest EEE demonstrated significantly lower anthropometric and body composition measurements compared to those with the lowest EEE.

CONCLUSION

These findings suggest a link between EEE and favorable changes in body composition, highlighting the importance of considering reproductive history in health assessment.

Association between life's simple 7 (LS7) and arthritis: the mediating role of body fat percentage (BFP)

BACKGROUND

Life's Simple 7 (LS7), developed by the American Heart Association, addresses seven key health behaviors and relationship factors. Although LS7 has been studied in relation to various chronic diseases, its association with arthritis remains unclear. This study seeks to investigate the association between LS7 and arthritis, with particular emphasis on the mediating role of body fat percentage (BFP).

METHODS

Data from the 2011-2018 National Health and Nutrition Examination Survey (NHANES), including 16,332 adult participants, were analyzed. The connection between LS7 and arthritis was evaluated using multivariable logistic regression, smooth curve fitting, and subgroup analysis. Mediation analysis assessed the role of BFP in this relationship. Additionally, ROC curve analysis was used to assess the predictive performance of the model, and the Boruta algorithm identified the influential factors associated with arthritis.

RESULTS

After adjusting for relevant covariables, each standard deviation increase in LS7 was linked to a 13% lower likelihood of arthritis [OR = 0.87, 95% CI: 0.84, 0.89]. Participants in the highest LS7 tertile (T3) exhibited a 50% reduced likelihood of developing arthritis compared to those in the lowest tertile (T1) [OR = 0.50, 95% CI: 0.43, 0.60]. Mediation analysis confirmed that BFP significantly mediated the LS7-arthritis relationship. Furthermore, the Boruta algorithm identified LS7 and BFP as key variables associated with arthritis.

CONCLUSION

Elevated LS7 scores were associated with a lower likelihood of arthritis, with BFP serving as a mediating factor. Improving LS7 scores and managing body fat may help prevent arthritis. Due to the study's cross-sectional design, causality cannot be confirmed. Future research should use longitudinal studies to verify these findings and target high-risk groups.

Effects of the dyadic FirstStep2Health intervention on parents' behaviour and anthropometric outcomes: a secondary analysis of a cluster randomised trial

OBJECTIVES

This study aimed to examine the preliminary efficacy of the FirstStep2Health versus usual care control on improving parents' lifestyle behaviours (moderate to vigorous physical activity, screen time, fruit/vegetable and fibre intake, skin carotenoids), nutrition and physical activity knowledge, self-efficacy, support, parenting style, feeding practices, home environment, anthropometric outcomes (body mass index, % body fat) and blood pressure from baseline to postintervention after adjusting for random cluster effects.

DESIGN

A cluster randomised controlled trial with 10 Head Start daycare centres (five intervention, five control) was conducted using computer-generated randomisation after baseline data collection.

SETTING

US Head Start daycare centres.

PARTICIPANTS

95 parent-child dyads (53 intervention, 42 control).

INTERVENTIONS

The 16-week, dyadic, FirstStep2Health intervention included: (1) a daycare-based child programme on healthy mindful eating and physical activity, (2) child letters to parents to connect school learning with home practice, (3) social media-based parent programme to assist parents to promote healthy eating and physical activity at home, (4) virtual group parent meetings via Zoom on topics related to healthy eating and physical activity and (5) weekly motivational messages to increase parental motivation to build a healthy home environment.

RESULTS

Mixed-effect models were used to examine intervention effects, adjusting for baseline outcome and cluster effects at the daycare and classroom levels. Intervention parents engaged in more moderate to vigorous physical activity (B=0.49, p=0.874) postintervention than controls, although not significantly. However, intervention parents showed significantly higher nutrition knowledge (B=0.87, p=0.009), physical activity knowledge (B=0.95, p=0.049), nutrition self-efficacy (B=0.74, p=0.025) and physical activity self-efficacy (B=0.86, p=0.013) compared with controls at postintervention. Fibre intake was also significantly higher (B=2.99, p=0.049), and intervention parents had lower % body fat (B=-2.56, p=0.005) and systolic blood pressure (B=-10.98, p=0.005) postintervention. No significant effects were found for fruits/vegetables intake, parental support for healthy behaviours, home physical activity environment or authoritative parenting style.

CONCLUSIONS

Future endeavours to proactively engage parents in a dyadic childhood obesity prevention approach such as the FirstStep2Health intervention are warranted to improve outcomes among both children and parents.

TRIAL REGISTRATION NUMBER

NCT04164277.

Normative Values and Anthropometric Prediction Models for Lean Mass and Fat Mass in the Northeastern Thai Population

Background: Data on reference values for lean mass (LM) and fat mass (FM) in the Southeast Asian populations are currently lacking. Therefore, we aimed to estimate the normative values and generate anthropometric prediction models for LM and FM in the Thai population. Methods: Consecutive community-dwelling individuals aged 20-90 years were recruited from Srinagarind Hospital, Khon Kaen, Thailand, between 2010 and 2015. LM and FM were measured using dual energy X-ray absorptiometry. Age and sex stratified percentile of LM and FM were presented. Anthropometric prediction models for LM and FM were developed by using linear regression to generate competing models. Results: A total of 832 individuals (334 males and 498 females) were included in the study. The mean ± SD age, LM, and FM were 50.0 ± 16.2 years, 38.9 ± 8.0 kg, and 15.5 ± 7.7 kg, respectively. LM decreased with age from 49.4 kg in 20-29 years group to 42.3 kg in ≥70 years group in male and 34.6 kg in 30-39 years group to 30.8 kg in ≥70 years group in females. FM has an inverse U-shaped association with age, which peaked at 11.9 kg in 60-69 years group in males and 20.7 kg in 50-59 years group in females. Among the various anthropometric models, the models incorporating age, sex, weight, and height were considered the best fit for predicting both LM and FM. Conclusion: In the Thai population, peak LM was reached during early adulthood and decline with age, whereas FM showed an inverse U-shaped association with age. The prediction models incorporating age, sex, weight, and height were proposed as practical tools for assessing LM and FM in clinical practice.

Development and validation of a new anthropometric equation to predict fat mass percentage in a heterogeneous Caucasian population

OBJECTIVE

(1) To develop a new regression equation for estimating fat mass percentage (%FM) from anthropometric measurements in a heterogeneous Caucasian population and (2) to compare it with the Durnin and Womersley equation, which is one of the most used anthropometric equations for FM assessment.

DESIGN

Body mass, stature and four skinfolds (biceps, triceps, subscapular and supracrestal) were assessed by an accredited anthropometrist, according to the International Society for Advancement in Kinanthropometry. Participants completed a dual-energy X-ray absorptiometry (DXA) whole-body scan to determine their %FM. A new anthropometric equation to estimate %FM was developed using multiple forward regression analyses with DXA as the reference method. Tests for the accuracy of the different equations included mean differences, coefficient of determination, SE of the estimate (SEE), concordance correlation coefficient (CCC) and Bland-Altman plots.

SETTING

Spain.

PARTICIPANTS

Two hundred and eighteen healthy Caucasian participants aged 18-65 years participated in this cross-sectional study.

RESULTS

Our proposed equation explained 89·9 % of the variance in the DXA-derived %FM, with a low random error (SEE = 3·00 %), a very strong agreement (CCC = 0·93), no fixed or proportional bias and a relatively low individual variability (5·84 %). However, the Durnin and Womersley equations obtained a fixed bias of -3·65 % when compared with DXA and a greater individual variability (6·74 %).

CONCLUSIONS

The proposed equation can accurately estimate %FM in a heterogeneous Caucasian population with a wide age range (18-65 years). Additionally, the Durnin and Womersley equation was inadequate when applied to our participants.

Body composition estimates from bioelectrical impedance and its association with cardiovascular risk

BACKGROUND

 Screening for traditional risk factors of cardiovascular disease is well known in primary healthcare (PHC) settings. However, other risk factors through newer tools (such as bioelectrical impedance analysis [BIA]) could also be predictors of increased cardiovascular risk (CVR). Body composition estimates (body fat percentage, body water percentage, body lean mass) by BIA and its association to CVR have been studied with variable results.

AIM

 This study assesses the body composition estimates and their association with CVR in the South African PHC setting.

METHODS

 A retrospective record analysis was conducted on a cohort of de-identified patients utilising the ABBY® Health Check Machine at a PHC facility in South Africa between May 2020 and August 2022. The ABBY Machine estimates body fat percentage (BF%) and body water percentage (BW%) estimates from BIA. Cardiovascular risk based on the Framingham-risk-score was stratified into high, medium and low CVR. An analysis of variance was used to determine mean differences of BF% and BW% among these groups.

RESULTS

 A total of 4008 records (n = 4008) were used in the final analysis. The majority of patients were female (70.1%) with a mean age of 33.6 years. Higher mean BF% (35.75% vs. 31.10% vs. 27.73%; p  0.0001) and lower mean BW% (49.46% vs. 53.15% vs. 56.18%; p = 0000) were found to be significantly associated with high CVR.

LESSONS LEARNT

 This study demonstrated the use of newer technologies that could assist in the identification of CVR in low resource PHC settings.

A Saudi Heart Association Position Statement on Obesity and Cardiovascular Disease

OBJECTIVES

The obesity pandemic is a major public health concern in Saudi Arabia, with significant impact on cardiovascular disease (CVD). This position statement aims to provide an overview of available evidence as well as the recommendations of the Saudi Heart Association on the management of obesity associated with CVD.

METHODS

Under the auspices of the Saudi Heart Association, a multidisciplinary expert panel comprised of cardiologists and endocrinologists discussed available evidence and provided recommendations on the management of obesity in CVD. The expert panel discussions occurred between September of 2023 and May of 2024 and also took into consideration local expertise in addition to published data in the management of obesity and CVD in the Kingdom of Saudi Arabia.

RESULTS AND CONCLUSIONS

The expert panel explored studies on obesity and its implication on CVD assessment modalities, while also examining the efficacy and cardiovascular safety of available interventions for weight reduction. The association between obesity and CVD is undeniable. The treatment of obesity, be it through lifestyle changes, pharmacological therapy or surgery, is an effective strategy for both weight loss as well as the primary and secondary prevention of CVD. The Saudi Heart Association position statement thus provides guidance and recommendations for the management of obesity/overweight and CVD in Saudi Arabia. This position statement is expected to contribute towards obesity and CVD prevention efforts in Saudi Arabia by promoting adequate and time-appropriate treatment of these conditions.

Comparison of Bioelectrical Impedance Analyser (BIA) with Dual-Energy X-ray Absorptiometry (DXA) Scan in Assessing the Body Composition of Adult Individuals with Type 2 Diabetes Mellitus

Introduction

Assessing the body composition is important in adult patients with type 2 diabetes mellitus to prevent and achieve optimum control during treatment. Bioelectrical impedance analysis (BIA), being a more affordable method of assessing the body composition, should therefore be compared with the gold standard dual-energy X-ray absorptiometry (DXA) to look for a correlation between the two and the potential of BIA to be used widely in this population. A cross-sectional observational study was conducted on 60 patients attending the endocrinology outpatient department (OPD) of a tertiary care centre in Kolkata, India.

Methods

Body composition was measured by both BIA and DXA. Intra-class correlation (ICC) values were calculated between the two methods for fat mass and fat-free mass for three body mass index (BMI) groups and overall.

Results

DXA and BIA correlated well for both fat mass and fat-free mass in the entire study population and in the non-overweight non-obese group (BMI <23) and the obese group (BMI ≥25). However, the overweight group (23 ≥BMI <25) did not correlate well with the above-mentioned parameters.

Conclusion

We suggest interchangeable use of the two methods in the non-overweight non-obese (BM I <23) and obese (BMI ≥25) BMI groups of adult subjects with type 2 diabetes mellitus. However, the low correlation for all parameters in the overweight group points towards exercising caution when taking such measurements by BIA and planning a further study with a larger cohort of such individuals to better evaluate the said correlation.

New Body Mass Index Cut-Off Point for Obesity Diagnosis in Young Thai Adults

Obesity is a global health threat affecting people of all ages, especially young adults. Early diagnosis of obesity allows for effective treatments and the prevention of its consequences. This study aimed to determine the prevalence of obesity in Thai young adults, evaluate the extent to which BMI values indicate excess adiposity, and identify the most appropriate BMI diagnostic cut-point based on body fat percentage. The study included 186 young adults aged 20 to 35 years. The diagnosis of obesity using body mass index (BMI) was compared with dual-energy X-ray absorptiometry-derived body fat percentage, considered the gold standard. The appropriate BMI cut-point was established using ROC curve analysis and the Youden index. Obesity was more common in women and in urban areas. BMI and body fat were significantly correlated; however, there was a high rate of false-negative obesity diagnosis based on the conventional BMI cut-off, a condition known as normal weight obesity (NWO). The newly proposed BMI cut-off points that best correlated with body fat and corrected false negatives were 22.1 kg/m2 for men and 22.5 kg/m2 for women. These new BMI cut-points should be applied together with clinical evaluations for obesity assessment in this particularly high-risk group.

Sleep, Diet Quality, and Lipid Profile Assessment in NCAA Division I Acrobatics and Tumbling Student-Athletes: A Cross-Sectional Study

OBJECTIVE

Acrobatics and Tumbling (A&T), an emerging National Collegiate Athletics Association (NCAA) sport, involves athletes with rigorous training backgrounds, usually extending from youth through early adulthood. This study examines the sleep health, diet quality, and lipid profile of A&T athletes clustered by their performance position.

METHODS

Forty-two A&T athletes, clustered as tops (n = 19; age = 19.6 ± 1.0 years; body mass index [BMI] = 22.3 ± 1.7 kg/m2) and bases (n = 23; age = 19.6 ± 1.3 years; BMI = 25.7 ± 2.5 kg/m2), completed preseason sleep and diet quality (Rapid Eating Assessment for Participants-Shortened [REAP-S]) surveys. Fasting blood samples were collected for lipid analysis. Body composition was assessed via dual-energy X-ray absorptiometry.

RESULTS

Most athletes (71.4%; base n = 14, top n = 16) reported insufficient sleep (≤7 hours) and "good" sleep quality (90.4%, n = 38; base n = 18, top n = 20). Average REAP-S score was 29.24 ± 3.74. Approximately 31% (n = 13) displayed at least one undesirable lipid concentration according to medical guidelines for normal levels (total cholesterol [TC] < 200 mg/dL, triglycerides [TG] < 150 mg/dL, high-density lipoprotein cholesterol [HDL-C] > 40 mg/dL, low-density lipoprotein cholesterol [LDL-C] < 130 mg/dL). Approximately 20% exhibited elevated TC (top n = 4, base n = 4), 12.5% had elevated TG (base n = 5), 2.5% showed low HDL-C (base n = 1), and 10% presented elevated LDL-C (top n = 2, base n = 2).

CONCLUSIONS

Most athletes experienced suboptimal sleep (≤7 hours/night) and 31% displayed at least one undesirable lipid concentration (elevated TC, TG, or LDL-C or reduced HDL-C). Tailoring interventions with sports dietitians is recommended, focused on increasing monounsaturated and polyunsaturated fat intake while reducing saturated fat consumption. These interventions could mitigate cardiovascular risks, improve recovery, and possibly enhance athletic performance.

Waist-to-height ratio and body fat percentage as risk factors for ischemic cardiovascular disease: a prospective cohort study from UK Biobank

BACKGROUND

The independent effect of waist-to-height ratio (WHtR) and body fat percentage (BF%) on ischemic cardiovascular disease (CVD) remains uncertain.

OBJECTIVES

This study aimed to investigate the independent associations of WHtR and BF% with ischemic CVD.

METHODS

This prospective cohort study used data from the UK Biobank. BF% was calculated as fat mass divided by body weight, measured by bioimpedance. Cox models estimated hazard ratios (HRs) with 95% confidence intervals (CIs) for overall and sex-specific associations of BF% and WHtR with risks of ischemic CVD and its main subtypes [myocardial infarction (MI) and ischemic stroke (IS)], adjusted for a range of potential confounders, including mutual adjustment for BF% and WHtR.

RESULTS

In total, 468,333 participants without existing CVD were included in the analysis. During 12 y of follow-up, 20,151 ischemic CVD events, 13,604 MIs, and 6681 ISs were recorded. WHtR was linearly associated with ischemic CVD, MI, and IS, with an HR per 5% increase of 1.23 (95% CI: 1.20, 1.25), 1.24 (95% CI: 1.21, 1.27), and 1.22 (95% CI: 1.18, 1.26), respectively, independent of BF%. A stronger association between WHtR and MI was seen in females than in males. The association of BF% with these outcomes was substantially attenuated in both sexes after adjustment for WHtR. For example, in females, the HR (highest compared with lowest fifth) was reduced from 1.94 (95% CI: 1.76, 2.15) to 1.04 (95% CI: 0.90, 1.01) for ischemic CVD, from 2.04 (95% CI: 1.79, 2.32) to 0.97 (95% CI: 0.81, 1.16) for MI, and from 1.81 (95% CI: 1.54, 2.13) to 1.07 (95% CI: 0.85, 1.33) for IS.

CONCLUSIONS

WHtR, when used as a proxy measure for central obesity, is linearly associated with ischemic CVD in both sexes, which is independent of BF%. In contrast, the relationship of BF% with these health outcomes is predominantly driven by its correlation with WHtR.

Machine learning-based comparison of factors influencing estimated glomerular filtration rate in Chinese women with or without non-alcoholic fatty liver

BACKGROUND

The prevalence of non-alcoholic fatty liver (NAFLD) has increased recently. Subjects with NAFLD are known to have higher chance for renal function impairment. Many past studies used traditional multiple linear regression (MLR) to identify risk factors for decreased estimated glomerular filtration rate (eGFR). However, medical research is increasingly relying on emerging machine learning (Mach-L) methods. The present study enrolled healthy women to identify factors affecting eGFR in subjects with and without NAFLD (NAFLD+, NAFLD-) and to rank their importance.

AIM

To uses three different Mach-L methods to identify key impact factors for eGFR in healthy women with and without NAFLD.

METHODS

A total of 65535 healthy female study participants were enrolled from the Taiwan MJ cohort, accounting for 32 independent variables including demographic, biochemistry and lifestyle parameters (independent variables), while eGFR was used as the dependent variable. Aside from MLR, three Mach-L methods were applied, including stochastic gradient boosting, eXtreme gradient boosting and elastic net. Errors of estimation were used to define method accuracy, where smaller degree of error indicated better model performance.

RESULTS

Income, albumin, eGFR, High density lipoprotein-Cholesterol, phosphorus, forced expiratory volume in one second (FEV1), and sleep time were all lower in the NAFLD+ group, while other factors were all significantly higher except for smoking area. Mach-L had lower estimation errors, thus outperforming MLR. In Model 1, age, uric acid (UA), FEV1, plasma calcium level (Ca), plasma albumin level (Alb) and T-bilirubin were the most important factors in the NAFLD+ group, as opposed to age, UA, FEV1, Alb, lactic dehydrogenase (LDH) and Ca for the NAFLD- group. Given the importance percentage was much higher than the 2nd important factor, we built Model 2 by removing age.

CONCLUSION

The eGFR were lower in the NAFLD+ group compared to the NAFLD- group, with age being was the most important impact factor in both groups of healthy Chinese women, followed by LDH, UA, FEV1 and Alb. However, for the NAFLD- group, TSH and SBP were the 5th and 6th most important factors, as opposed to Ca and BF in the NAFLD+ group.

Association between Urinary Sodium Excretion and Body Fat in School-Aged Children: Insights from the ARIA Study

Childhood obesity has been associated with increased sodium intake. Nonetheless, evidence linking sodium intake to Body Mass Index (BMI) and Body Fat Mass Percentage (%BF) remains limited, especially in the pediatric age group. Therefore, this study aims to investigate whether there is an association between 24 h urinary sodium excretion with BMI and %BF in a sample group of children from the ARIA study. This cross-sectional analysis included 303 children aged 7 to 12 from across 20 public schools in Porto, Portugal. Weight and %BF were assessed using the Tanita™ BC-418 Segmental Body Analyzer. Children's Total Energy Intake (TEI) was estimated through a single 24 h Recall Questionnaire, and urinary sodium and potassium excretion was estimated by a 24 h urine collection. The association of %BF and BMI with 24 h sodium excretion was estimated by a binary logistic regression adjusted for sex, age, physical activity, total energy intake, parental education, and 24 h urinary excreted potassium. There was a significant positive association between higher levels of urinary sodium excretion and higher %BF values, even after adjusting for confounders. However, the same was not observed for BMI. Our findings suggest that higher sodium intake is associated with higher values of %BF among children, regardless of TEI and potassium intake.

Blood Concentration of Macro- and Microelements in Women Who Are Overweight/Obesity and Their Associations with Serum Biochemistry

Risk elements in blood matrices can affect human health status through associations with biomarkers at multiple levels. The aim of this study was to analyze 15 macro- and microelements in the blood serum of women with overweight (BMI of ≥25 kg/m2) and obesity (BMI of ≥30 kg/m2) and to examine possible associations with biochemical, liver enzymatic parameters, and markers of oxidative stress. Based on the power calculation, the study involved women (in the postmenopausal stage) with overweight (n = 26) and obesity (n = 22), aged between 50-65 years. Multifrequency bioelectrical impedance analysis was used to measure body composition parameters. Concentrations of elements were determined by inductively coupled plasma optical emission spectrometry, and Hg was measured using cold-vapor atomic absorption spectroscopy. Individuals with obesity, as indicated by a higher BMI, percentage of body fat, and visceral fat area, had elevated serum levels of Ca, Mg, Fe, Al, Sr, Pb, and Hg. Concentrations of Al, Cu, K, Sb, Zn, and Pb significantly affected biochemical and liver function markers in women with overweight or obesity. Elements such as Cu and Al were associated with increased total cholesterol. The correlation analysis between total antioxidant status and Cu, Al, and Ni confirmed associations in both groups. Our findings underscore the importance of addressing excess body weight and obesity in relation to risk elements. The results of the research could be beneficial in identifying potential targets for the treatment or prevention of comorbidities in people with obesity.

Association of body composition indices with cardiovascular outcomes: a nationwide cohort study

BACKGROUND

Previous studies regarding BMI (kg/m2) and associated cardiovascular outcomes yield inconsistent results.

OBJECTIVES

We aimed to investigate the association between body composition and cardiovascular outcomes according to BMI categories in the Korean general population.

METHODS

A total of 2,604,401 participants were enrolled in this nationwide cohort study using the National Health Insurance Service-Health Checkup data set. Predicted lean BMI (pLBMI), body fat mass index (pBFMI), and appendicular skeletal muscle mass index (pASMMI) were calculated using validated anthropometric prediction equations. A multivariable time-dependent Cox regression analysis was conducted to assess the association with cardiovascular outcomes. The results were presented with adjusted hazard ratios (HRs) with 95% confidence intervals (CIs), considering BMI categories (BMI < 18.5, BMI 18.5-24.9, BMI 25-29.9, and BMI ≥ 30).

RESULTS

Higher pLBMI and pASMMI were correlated with a reduced risk of composite cardiovascular outcomes. For pLBMI, HR was 0.910 (95% CI: 0.908, 0.913, P < 0.001) for males and 0.905 (95% CI: 0.899, 0.910, P < 0.001) for females. For pASMMI, HR was 0.825 (95% CI: 0.820, 0.829, P < 0.001) for males and 0.788 (95% CI: 0.777, 0.800, P < 0.001) for females. Conversely, a higher pBFMI was associated with an increased risk, with HR of 1.082 (95% CI: 1.071, 1.093, P < 0.001) for males and 1.181 (95% CI: 1.170, 1.192, P < 0.001) for females. Subgroup analysis based on BMI categories revealed no significant risk association for pBFMI in the BMI < 18.5 group. In the group with BMI ≥ 30, neither pLBMI nor pASMMI demonstrated a significant risk association.

CONCLUSIONS

Our results highlight the value of pLBMI, pBFMI, and pASMMI as variables for assessing risk of composite cardiovascular outcomes. The significance of indicators may vary depending on BMI categories.

Baseline data and associations between urinary biomarkers of polycyclic aromatic hydrocarbons, blood pressure, hemogram, and lifestyle among wildland firefighters

Introduction

Available literature has found an association between firefighting and pathologic pathways leading to cardiorespiratory diseases, which have been linked with exposure to polycyclic aromatic hydrocarbons (PAHs). PAHs are highlighted as priority pollutants by the European Human Biomonitoring Initiative in occupational and non-occupational contexts.

Methods

This cross-sectional study is the first to simultaneously characterize six creatinine-adjusted PAHs metabolites (OHPAHs) in urine, blood pressure, cardiac frequency, and hemogram parameters among wildland firefighters without occupational exposure to fire emissions (> 7 days), while exploring several variables retrieved via questionnaires.

Results

Overall, baseline levels for total OHPAHs levels were 2 to 23-times superior to the general population, whereas individual metabolites remained below the general population median range (except for 1-hydroxynaphthalene+1-hydroxyacenaphtene). Exposure to gaseous pollutants and/or particulate matter during work-shift was associated with a 3.5-fold increase in total OHPAHs levels. Firefighters who smoke presented 3-times higher total concentration of OHPAHs than non-smokers (p < 0.001); non-smoker females presented 2-fold lower total OHPAHs (p = 0.049) than males. 1-hydroxypyrene was below the recommended occupational biological exposure value (2.5 μg/L), and the metabolite of carcinogenic PAH (benzo(a)pyrene) was not detected. Blood pressure was above 120/80 mmHg in 71% of subjects. Firefighters from the permanent intervention team presented significantly increased systolic pressure than those who performed other functions (p = 0.034). Tobacco consumption was significantly associated with higher basophils (p = 0.01-0.02) and hematocrit (p = 0.03). No association between OHPAHs and blood pressure was found. OHPAHs concentrations were positively correlated with monocyte, basophils, large immune cells, atypical lymphocytes, and mean corpuscular volume, which were stronger among smokers. Nevertheless, inverse associations were observed between fluorene and pyrene metabolites with neutrophils and eosinophils, respectively, in non-smokers. Hemogram was negatively affected by overworking and lower physical activity.

Conclusion

This study suggests possible associations between urinary PAHs metabolites and health parameters in firefighters, that should be further assessed in larger groups.

Genotypes of the UCP1 gene polymorphisms and cardiometabolic diseases: A multifactorial study of association with disease probability

Cardiometabolic diseases (CMDs) are complex disorders with a heterogenous phenotype, which are caused by multiple factors including genetic factors. Single nucleotide polymorphisms (SNPs) rs45539933 (p.Ala64Thr), rs10011540 (c.-112A>C), rs3811791 (c.-1766A>G), and rs1800592 (c.-3826A>G) in the UCP1 gene have been analyzed for association with CMDs in many studies providing controversial results. However, previous studies only considered individual UCP1 SNPs and did not evaluate them in an integrated manner, which is a more powerful approach to uncover genetic component of complex diseases. This study aimed to investigate associations between UCP1 genotype combinations and CMDs or CMD risk factors in the context of non-genetic factors. We performed multiple logistic regression analysis and proposed new methodology of testing different combinations of SNP genotypes. We found that probability of CMDs increased in presence of the three-SNP combination of genotypes with minor alleles of c.-3826A>G and p.Ala64Thr and wild allele of c.-112A>C, with increasing age, body mass index (BMI), body fat percentage (BF%) and may differ between sexes and between countries. The combination of genotypes with c.-3826A>G minor allele and wild homozygotes of c.-112A>C and p.Ala64Thr was associated with increased probability of diabetes. While combination of genotypes with minor alleles of all three SNPs reduced the CMD probability. The present results suggest that age, BMI, sex, and UCP1 three-SNP combinations of genotypes significantly contribute to CMD probability. Varying of c.-112A>C alleles in the genotype combination with minor alleles of c.-3826A>G and p.Ala64Thr markedly changes CMD probability.

Development and validation of new bioelectrical impedance equations to accurately estimate fat mass percentage in a heterogeneous Caucasian population

Fat mass percentage (%FM) is frequently determined by nutritionists and personal trainers with bioelectrical impedance analysis (BIA) devices. The aims of the present study were: (1) to develop new regression equations using dual-energy X-ray absorptiometry (DXA) as the reference method for estimating %FM in a heterogeneous Caucasian population with a foot-to-hand device (BIA-101) and a hand-to-hand device (BIA-TELELAB) and (2) to compare the new equations with the manufacturers' equations. We hypothesized that the new equations would lead to more accurate estimations compared with DXA. A total of 218 healthy Caucasian participants aged 18 to 65 years were divided into a development group and a validation group. The accuracy of the different equations was assessed by mean differences, coefficient of determination, standard error of the estimate (SEE), intraclass correlation coefficients (ICC), and Bland-Altman plots. The proposed equation for BIA-101 explained 90.0% of the variance in the DXA-derived %FM, with a low random error (SEE = 2.98%), excellent agreement (ICC = 0.94), no fixed bias, and relatively low individual variability (5.86%). For BIA-TELELAB, the proposed equation explained 88.0% of the variance in the DXA-derived %FM, with a low random error (SEE = 3.27%), excellent agreement (ICC = 0.93), no fixed bias, and relatively low individual variability (6.37%). The results obtained for the manufacturers' equations confirm that these equations are not a good option for %FM assessment. As hypothesized, the new regression equations for BIA-101 and BIA-TELELAB devices can accurately estimate %FM in a heterogeneous Caucasian population with a broad age range.

Predictors of Cardiac Autonomic Dysfunction in Obesity-Related Hypertension

INTRODUCTION

Cardiac Autonomic Dysfunction (CAD) is an overlooked cardiovascular risk factor in individuals with obesity-related hypertension. Despite its clinical significance, there is a notable lack of clarity regarding the pathophysiological correlates involved in its onset and progression.

AIM

The present study aimed to identify potential predictors of CAD in obesity-related hypertension.

METHODS

A total of 72 participants (34 men and 38 women) were enrolled. Comprehensive evaluations were conducted, including cardiac autonomic function assessments, body composition estimation and biochemical analysis. Participants were categorized as CAD-positive or CAD-negative based on Ewing's criteria for autonomic dysfunction. Univariate logistic regression analysis was performed to identify potential predictors for CAD. Multivariate logistic regression models were further constructed by adjusting clinically relevant covariates to identify independent predictors of CAD.

RESULTS

Multivariate logistic regression analysis revealed that resting heart rate (HRrest), (odds ratio, confidence interval: 0.85, 0.78-0.93; p = 0.001) and percentage body fat (BF%), (odds ratio, confidence interval: 0.78, 0.64-0.96; p = 0.018) were significant independent predictors of CAD. Receiver Operating Characteristic curve analysis depicted optimal cut-off values for HRrest and BF% as > 74.1 bpm and > 33.6%, respectively. Multicolinearity analysis showed variance inflation factors (VIF) below the cautionary threshold of 3.

CONCLUSIONS

The HRrest and BF% emerged as significant independent predictors of CAD in obesity-related hypertension. Therapeutic strategies should target HRrest < 74.1 bpm and BF% < 33.6% to mitigate CAD risk in this population. Future trials are required to establish causal relationships and may consider additional confounding variables in obesity-related hypertension.

Relationship between night shift and sleep problems, risk of metabolic abnormalities of nurses: a 2 years follow-up retrospective analysis in the National Nurse Health Study (NNHS)

BACKGROUND AND PURPOSE

Efforts to improve nurses' physical and mental health are critical to ensuring the safety and quality of the healthcare system. Long-term studies targeting the relevancy of nurses' occupation characteristics with health conditions remain insufficient. This study aimed to examine the relationship between nurses' night shift and sleep problems and metabolic abnormalities risk.

METHODS

This study was a part of the National Nurse Health Study, an ambispective cohort study in China, in 2021. Based on an integration physical examination data system, this study carried out a retrospective analysis of 730 nurses from 2018 to 2020 and combined with a questionnaire survey in 2021. The STROBE guidelines were adopted for reporting.

RESULTS

In the 23 (23.0, 24.0) months follow-up, higher night shift load was associated with more sleep problems such as shortened sleep duration, sleep disorders, poor sleep quality, and sleep deprivation. Moreover, night shift load was associated with chronic diseases risk factors, increasing body mass index and body fat, with more night shift density, increasing the occurrence of low levels of high-density lipoprotein cholesterol, high triglyceride, triglyceride/high-density lipoprotein cholesterol ratio, and serum uric acid.

CONCLUSION

The night shift load has become an occupational health concern, contributing to chronic diseases relevant metabolic risk factors and negative influence on sleep health. Focus on the strategies to improve the sleep quality of nurses undergoing night shift work, optimize work scheduling and ongoing monitor the relevant risk factors are essential to enhance the stability and well-being of the nursing workforce.

CLINICAL TRIALS REGISTRATION INFORMATION

NCT04572347, on October 1, 2020. https://www.

CLINICALTRIALS

gov/ct2/show/NCT04572347.

Lipid profiles and lifestyle habits of stroke survivors in the east coast region of peninsular Malaysia: Preliminary findings

Background: Stroke survivors are at high risk for recurrent cardiovascular events if no prevention strategies are undertaken. Aim: This study aimed to investigate the fasting serum lipid profiles and lifestyle habits in stroke survivors, and the factors associated with suboptimal lipid profiles. Methods: A cross-sectional retrospective study was conducted in three public hospitals in Malaysia. Stroke survivors' data regarding the socio-demographic characteristics, clinical profiles, fasting serum lipid profiles, dietary adherence, and physical activity levels were acquired. Binary logistic regression was used to examine the factors associated with suboptimal lipid goals. Results: A total of 104 stroke survivors were recruited from patients attending the neurology and rehabilitation departments. Only 22% of the stroke survivors attained the targeted low-density lipoprotein cholesterol level (LDL-C < 1.8 mmol/L). Meanwhile, more than two thirds of patients achieved the targeted total cholesterol, triglyceride, and high-density lipoprotein cholesterol goals. Patients with a longer stroke duration (Adjusted odds ratio, AOR 3.33, 95% confidence intervals, CI: 1.09, 10.13, p  =  0.034), elevated blood pressure (AOR 4.74, 95% CI: 1.65, 13.62, p  =  0.004), chronic kidney disease (AOR 3.30, 95% CI: 1.05, 10.34, p  =  0.041), abdominal obesity (AOR 3.14, 95% CI: 1.20, 8.21, p  =  0.020), excessive energy intake (AOR 2.72, 95% CI: 1.07, 6.91, p  =  0.036), and excessive saturated fatty acids intake (AOR 2.85, 95% CI: 1.02, 7.93, p  =  0.045) were significantly associated with suboptimal lipid profiles. Conclusion: The lipid goals attainment was low, particularly the LDL-C levels among Malaysian stroke survivors. Greater efforts are warranted to fully utilise the lipid-lowering therapy and the lifestyle changes in these high-risk patients.

Prevalence of Obesity and Lifestyle Risk Factors Following Two Years' COVID-19 Related Service Closure at Wellness Center, Primary Health Care

Background

COVID-19 lockdown has affected health behaviors and daily life in unprecedented ways. This study aimed to assess (i) the prevalence of lifestyle behaviors including physical activity, sedentary behavior, sleep, and stress levels during the COVID confinement, and (ii) evaluate anthropometric measures, body composition, cardiopulmonary and muscular endurance among regular Wellness Center attendees, following two years' service closure.

Methods

A cross-sectional study was undertaken between 1st June 2022 and 30th January 2023. A structured validated questionnaire was utilized to retrospectively collect data related to the closure period, and quantitative objective measurements were obtained at the time of data collection.

Results

A total of 100 adults with a mean age of 49.6 ± 10.5 years, mostly female (80%) and Qatari (76%) participated in the study. The results revealed high rates of low physical activity (47%), sedentary behavior (62%), poor sleep (58%), and stress levels (61% moderate and 5% high). Results also confirmed high prevalence of obesity (57%) marked by BMI and body circumferences, fat mass (34 ± 10.5 kg)/fat percentage (42.7 ± 7.2%) and muscle mass (20.6 ± 5.4 kg)/muscle percentage (25.4 ± 3.9%) above and below normal levels, respectively. The average cardiopulmonary (mean VO2 MAX was 15.5 ± 11 mL O2kg-1min-1) and muscular endurance (pushups per min 19 ± 8.9, L-sit 46 ± 35 secs, plank 42.7 ± 27.8 secs) were distinctly below normal levels for age and sex.

Conclusion

The findings indicate that physically active adults have experienced adverse lifestyle behaviors during the COVID-19 lockdown. Obesity, unfavorable body composition, low cardiopulmonary and muscular endurance were evident. More emphasis should be put on the development of targeted intervention strategies to promote positive lifestyle behaviors during any potential future crises.

Comparison of Body Composition Methods for Estimating Body Fat Percentage in Lower Limb Prosthesis Users

BACKGROUND

There is a dearth of literature evaluating the accuracy of Air Displacement Plethysmography (ADP) compared to Dual-energy X-ray Absorptiometry (DXA) for assessing body composition in individuals with lower limb amputations. Validity of ADP in persons with lower limb amputations must be established.

OBJECTIVE

The objective of this study was to compare body composition in persons with lower limb amputations using the BOD POD® and DXA.

METHODOLOGY

Body composition was performed on eleven lower limb prosthesis users (age 53.2±14.3 years, weight 81.9±22.3kg) using ADP and DXA with and without prosthesis.

FINDINGS

Repeated measures ANOVA indicated no significant difference in body composition among and between trials, F(3,8)= 3.36, p= 0.075. There were no significant differences in Body Fat (BF) percentage with and without prostheses on the BOD POD (28.5±15.7% and 33.7±12.1%, respectively) nor the DXA (32.9±10.6% and 32.0±9.9%, respectively). Association between the BOD POD and DXA were greatest when prostheses were not worn compared to when they were worn. Bland-Altman plots indicate agreement between BOD POD® and DXA was greatest while wearing the prosthesis.

CONCLUSION

This study is a first to compare total body fat percent between the BOD POD® and DXA in lower limb prosthesis users. BOD POD® report valid indices of BF%. Future work will utilize the BOD POD® in intervention studies for monitoring body composition changes across the continuum of rehabilitation.

Comparison of bioelectrical body and visceral fat indices and anthropometric measures in relation to type 2 diabetes by sex among Chinese adults, a cross-sectional study

Objectives

We aim to compare the efficacies of the bioelectrical indices (percentage of body fat, PBF; visceral fat area, VFA) with the conventional anthropometric measures (body mass index, BMI; waist-hip ratio, WHR) for predicting type 2 diabetes (T2D) risk by sex and to determine the sex-specific optimal adiposity indices to predict the T2D risk.

Design

Cross-sectional design.

Setting

Tianjin First Central Hospital and Tianjin Union Medical Center, Tianjin, China.

Participants

A total of 9,332 adults (41.35% men) undergoing physical examination.

Primary and secondary outcome measures

T2D was defined using the WHO's criteria: fasting blood glucose (FBG) ≥7.0 mmol/L and/or previous diagnosis of T2D. Height, weight, waist, hip, PBF, VFA, and fasting plasma glucose were measured.

Results

All studied adiposity indices were associated with T2D among both males and females, and the observed associations differed by sex. The standardized aORs of BMI, WHR, PBF and VFA for T2D were 1.60 (95% CI 1.42-1.81), 1.43 (95% CI 1.25-1.64), 1.42 (95% CI 1.23-1.62) and 1.53 (95% CI 1.35-1.75) for females, and 1.47 (95% CI 1.31-1.66), 1.40 (95% CI 1.25-1.58), 1.54 (95% CI 1.36-1.74) and 1.47 (95% CI 1.31-1.65) for males, respectively. The AUCs of VFA, WHR and BMI were 0.743, 0.742 and 0.717 in women, respectively, whereas none of the indices had AUC larger than 0.70 in men. The AUCs were not significantly different between VFA and WHR, while both demonstrate larger AUCs than BMI and PBF in females (all p < 0.05). The optimal cutoff values of VFA, WHR, and BMI for T2D in women were 103.55 cm2, 0.905, and 24.15 kg/m2, respectively.

Conclusion

Although BMI, WHR, and PBF and VFA as measured by bioelectrical impedance analysis (BIA) were all positively associated with T2D, their efficacy for predicting the risk of T2D differed by sex. VFA, WHR and BMI could be used as biomarkers to predict T2D risk in women, however none of the study indicators demonstrated favorable efficacy of predicting T2D risk in men.

Echocardiographic assessment of cardiac function abnormalities and related risk factors in Thai overweight and obese children

Background

Childhood obesity has become a global concern, with its prevalence steadily increasing over the past decade. This condition negatively impacts the cardiovascular system, increasing the risk of morbidity and mortality in adulthood. This study aimed to identify cardiac function abnormalities and related risk factors among overweight and obese Thai children.

Materials and Methods

A cross-sectional observational study of 70 children with body mass index (BMI) >1 standard deviation above the mean for Thai children was conducted at Naresuan University Hospital. Body fat percentage (%Fat) was measured, and standard transthoracic echocardiography was performed. Metabolic profiles were collected from medical records.

Results

The thickness and diameter of the Left ventricle (LV) wall, including the LV posterior wall, LV internal diameter, and interventricular septum (IVS), were significantly increased in both systolic and diastolic phases in obese children. LV concentric hypertrophy and an abnormal E/E' ratio were found in 27% and 34.3% of participants, respectively. Right ventricular systolic dysfunction indicated by abnormal tricuspid annular plane systolic excursion values was found in 55.7% of all participants. In addition, 27.1% of all obese children had pulmonary hypertension. Significant differences in BMI and %Fat were detected between children with abnormal and normal IVS diastolic (IVSd) (P = 0.016). Our univariate and multivariate correlation analyses revealed a significant positive association between abnormal IVSd and %Fat, with an odd ratio (OR) of 1.13 (95% confidence interval [CI]: 1.01-1.27; P = 0.047) and an adjusted OR of 1.17 (95% CI: 1.01-1.36; P = 0.04).

Conclusions

Cardiac function abnormalities in childhood obesity exhibit a significant positive correlation with BMI and various cardiac dimensions, including ventricular wall thickness. One important related risk factor for increased IVS thickness is %Fat. Therefore, multidisciplinary management of obesity should be initiated as early as possible to prevent future cardiovascular morbidity and mortality.

Bioelectrical Impedance Analysis and Body Composition in Cardiovascular Diseases

Nutritional status and body composition in cardiovascular (CV) patients are important aspects of their performance. Bioelectrical impedance analysis (BIA) is a noninvasive method that provides reliable information about bioelectrical parameters which reflect nutritional status and body composition data. The aim of this paper was to describe BIA, its advantages, limitations, and clinical applications in CV patients. The PubMed database was searched for all papers showing the use of BIA in CV conditions until January 1, 2023. A total of 42 papers regarding BIA application in CV patients were identified. Phase angle, Z200/5 parameter, and membrane capacitance are the BIA parameters that can be used for nutritional status assessment in CV patients, mainly in heart failure and after myocardial infarction. Among secondary body composition parameters, fat mass can be used for obesity assessment which is a CV risk factor. Body cell mass can be used together which the direct BIA parameters for nutritional status assessment which is an important factor in treatment outcome, quality of life, and disease prognosis. Total body water can be used for hydration assessment in heart failure and during invasive procedures. To conclude, BIA is a noninvasive method that provides essential information about the general condition of the body which is the result of nutritional and hydration status in CV patients.

Body composition, energy expenditure and caloric intake among breast cancer patients at a teaching hospital in Nigeria-a cross sectional study

Objective

This cross-sectional study was conducted on the associations between body composition, energy expenditure and caloric intake among 45 Nigerian breast cancer patients.

Methods

Forty-five Nigerian breast cancer patients were measured and analysed for their body composition, energy expenditure and caloric intake. Statistical analyses included a chi-square test, Student's t-test, paired t-test, Spearman correlation and linear regression using Statistical Package for the Social Sciences 23.0.

Results

The body fat indices (body mass index (BMI), fat mass index (FMI), and body fats percentage) show that more than 50% of breast cancer patients were either overweight or obese. The Spearman correlation showed that fat-free mass (FFM) was the most strongly correlated with energy expenditure (r = 0.84). BMI and (FMI - fat mass in relation to height) were significantly correlated with the Harris-Benedict equation for energy expenditure (p < 0.001; p = 0.002), but they were not correlated significantly with the Karnofsky performance status. A paired t-test showed that caloric intake was significantly higher than total energy expenditure (p < 0.001). FFM was the best predictor of resting energy expenditure (REE).

Conclusion

In conclusion, FFM remains the best predictor of REE. High body mass and high caloric intake indicate the need for support from nutritional programmes.

Ability of Anthropometric Measurements to Predict Metabolic Health among Patients in Alberta: A Cross-sectional Study in Primary Care

Purpose: This study compared anthropometric and body fat percent (BF%) equations in relation to measures of metabolic health.Methods: BF% calculations (Bergman, Fels, and Woolcott) and anthropometric measurements were used to determine obesity among a sample of patients attending primary care in Alberta, Canada. Anthropometric variables included body mass index (BMI), waist circumference, waist:hip ratio, waist:height ratio, and calculated BF%. Metabolic Z-score was computed as the average of the individual Z-scores of triglycerides, total cholesterol, and fasting glucose and the number of standard deviations from the sample mean.Results: Five hundred and fourteen individuals were included (41.2% male, age: 53 ± 16y, BMI: 27.4 ± 5.7 kg/m2). BMI ≥ 30 kg/m2 detected the smallest number of participants (n = 137) as having obesity, while Woolcott BF% equation categorized the largest number of participants as having obesity (n = 369). No anthropometric or BF% calculation predicted metabolic Z-score in males (all p ≥ 0.05). In females, age-adjusted waist:height ratio had the highest prediction power (R2 = 0.204, p < 0.001), followed by age-adjusted waist circumference (R2 = 0.200, p < 0.001) and age-adjusted BMI (R2 = 0.178, p < 0.001).Conclusions: This study did not find evidence that BF% equations more strongly predicted metabolic Z-scores than other anthropometric values. In fact, all anthropometric and BF% variables were weakly related to metabolic health parameters, with apparent sex differences.

The Prevalence of Responders and Non-Responders for Body Composition, Resting Blood Pressure, Musculoskeletal, and Cardiorespiratory Fitness after Ten Weeks of School-Based High-Intensity Interval Training in Adolescents

Many observations have demonstrated great heterogeneity in the magnitude of the response to the physical exercise stimulus. Only a few studies have investigated the effects of high-intensity interval training (HIIT) on the prevalence of non-responders (NRs) in adolescents while considering health-related fitness measurements and other co-variables. Therefore, the aim of the current work was twofold: (1) to assess the effects of ten weeks of school-based HIIT on the prevalence of responders (Rs) and NRs for body composition, resting blood pressure (BP), cardiorespiratory and musculoskeletal fitness, and (2) to assess the relationship of this prevalence with sex, body mass category, and biological maturation status, while estimating the likelihood of a response. Adolescents aged 16 years (n = 73) were included in the study. Waist-to-hip ratio, body fat percentage (BFP), skeletal muscle mass (SMM), BP, cardiorespiratory fitness (CRF), and musculoskeletal fitness were the primary outcomes. Co-variables included sex, body mass index (BMI), and maturity offset. The percentages of the Rs and NRs were analyzed based on changes (Δ) between post-intervention and pre-intervention values. The typical error (TE) method was used to identify Rs and NRs. Results showed a variation in the relative size of changes (% of changes) depending on the variable and sex. The greatest changes were observed in females' abdomen muscle strength (Δ% = 23.89%), and the difference from that of males (Δ% = 5.98%) was statistically significant (p < 0.001) with very large effect size of (Cohen's d = 0.941). Similar significant differences in relative changes were observed in body composition, but in the reverse direction. Males gained more from HIIT in the decrease in the body fat percentage (Δ% = -8.24%) and increase in skeletal muscle mass (Δ% = 3.38%) comparing to females (Δ% = 0.46, p = 0.040 and Δ% = 1.06%, p = 0.007, respectively). Effect size for body fat was small (Cohen's d = 0.469), and for skeletal muscle mass it was moderate (Cohen's d = -0.659). The results also showed positive significant differences in the prevalence of Rs compared to NRs in BFP, SMM, systolic BP (SBP), diastolic BP (DBP), CRF, and abdominal muscular strength (ABS) (p = 0.047, p = 0.047, p < 0.001, p = 0.003, p = 0.014, and p = 0.014, respectively). The effect was greatest and largest for SBP (Cohen's ω = 0.67). Sex was related to the prevalence of Rs for ABS and close to significance for SMM. More males than females benefited from HIIT in SMM (p = 0.058), but more females than males had ABS benefits (p = 0.050). Males were more likely (2.5-fold) to be Rs than females in SMM. BMI was not related to the prevalence of Rs and NRs. Biological maturation was related to the prevalence of Rs and NRs in SMM (p = 0.036) and SBP (p = 0.016). In SBP, 100% of the early matured derived benefit from HIIT, but the effect size was small (Cramer's V = 0.27). Those who maturated later were more likely (almost 70%) to be Rs. Thus, the HIIT program introduced to a typical physical education (PE) lesson can be considered partially effective. Therefore, there is a need to continue the search for an optimal and effective program for all health-related parameters. The close relationship between analyzed values and sex and biological maturation, but not BMI, indicates that the intervention programs should be tailored specifically for males and females.

The Association between Cardio-metabolic and hepatic indices and anthropometric measures with metabolically obesity phenotypes: a cross-sectional study from the Hoveyzeh Cohort Study

BACKGROUND

This study aimed to compare the cardio-metabolic, anthropometric, and liver function indices among metabolic obesity phenotypes.

METHODS

In this cross-sectional study, which was carried out in Hoveyzeh, Khuzestan Province, Iran, a total of 7,464 individuals (male: 2859, female: 4605), were recruited and classified into four groups, based on Body Mass Index (obese, BMI ≥ 30 kg/m²; non-obese, BMI = 18.5-29.9 kg/m²) and the National Cholesterol Education Program and Adult Treatment Panel (NCEP ATP) III criteria (Healthy group, ≤ 1 of the criteria; Unhealthy group, ≥ 2 of the criteria), as follows: Metabolically Healthy Non-Obese (MHNO, 28.14%), Metabolically Unhealthy Non-Obese (MUNO, 33.06%), Metabolically Healthy Obese (MHO, 6.54%), and Metabolically Unhealthy Obese (MUO, 32.26%). Anthropometric indices (Waist/Hip Ratio (WHR), Waist/Height Ratio (WHtR), Body Adiposity Index (BAI), Visceral Adiposity Index (VAI), and Weight adjusted Waist Index (WWI)), cardio-metabolic indices (Atherogenic Index of Plasma (AIP), Lipid Accumulation Product (LAP), Cardio-Metabolic Index (CMI), Lipoprotein Combine Index (LCI), Triglyceride-Glucose (TyG), TyG-BMI, TyG-WC, and Thrombolysis In Myocardial Infarction (TIMI) risk index), and hepatic indices (Hepatic Steatosis Index (HSI) and ALD/NAFLD index (ANI)) were calculated and compared between the groups.

RESULTS

WHR,VAI, AIP, LAP, CMI, LCI, TyG, and TIMI risk index values were significantly higher in the MUNO phenotype compared to the MHO phenotype (WHR: 0.97 vs. 0.95; VAI: 3.16 vs. 1.33; AIP: 0.58 vs. 0.25; LAP: 78.87 vs. 55.79; CMI: 2.69 vs. 1.25; LCI: 27.91 vs. 12.11; TyG: 9.21 vs. 8.41; TIMI: 18.66 vs. 15.63; p < 0.001). The highest and lowest HSI and ANI values were detected in the MUO phenotype. After adjustment for age, sex, physical activity, and years of education, VAI showed the highest Odds Ratio for MUNO (OR: 5.65; 95% CI: 5.12, 6.24) and MUO (OR: 5.40; 95% CI: 5.89, 5.95) compared to the MHNO phenotypes (p < 0.001). The ANI indices was associated with a reduced risk of MUO (OR: 0.76; 95% CI: 0.75-0.78), MUNO (OR: 0.88; 95% CI: 0.87-0.90), and MHO (OR: 0.79; 95% CI: 0.77-0.81) phenotypes (p < 0.001).

CONCLUSION

MUNO phenotype was exposed to a higher risk of cardiovascular disease compared to the MHO phenotype. VAI was found to be the optimal index for cardiovascular risk assessment.

Effects of mindfulness-based interventions on anthropometric outcomes: A systematic review and meta-analysis

BACKGROUND AND OBJECTIVES

The effects of mindfulness-based interventions (MBIs) on anthropometrics remain obscure. This review quantitatively synthesizes the effects of MBIs on decreasing body mass index (BMI), waist circumference (WC), weight, and percent body fat (%BF).

METHODS

Seven databases, including CINAHL Plus with Full Text, PubMed, PsycINFO, Cochrane, Web of Science Core Collection, Embase, and Sociological Abstracts were searched; studies with a comparison group were selected. Random-effects models were then applied to estimate the pooled effects (Hedge's g), while exploratory moderation analyses with mixed-effects models were performed to explore potential moderators of MBIs on anthropometrics.

RESULTS

The pooled effect size was -0.36 (p < .001) on BMI, -0.52 (p < .001) on WC, -1.20 (p < .004) on weight loss, and -0.43 (p = .389) on %BF. The long-term effects from baseline to follow-up and from post-intervention to follow-up were sustained on BMI (-0.37, p = .027; -.24, p = .065) and weight loss (-1.91, p = .027; -0.74, p = .011) respectively. For weight loss, adding mindful movement had greater effects than those without (-2.65 vs -0.39, p < .001).

CONCLUSION

Our findings support the short-term MBI effects on BMI reduction, WC, weight, and %BF, and long-term effects on reducing BMI and weight. Future efforts should focus on sustaining effects on reducing WC and %BF.

Potential of macronutrients and probiotics to boost immunity in patients with SARS-COV-2: a narrative review

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-COV-2) may cause inflammation and increased cytokine secretion. Dietary factors may play an important role in enhancing the immune responses against infectious diseases such as SARS-COV-2. This narrative review aims to determine the effectiveness of macronutrients and probiotics to improve immunity in SARS-COV-2 patients. Dietary proteins may boost pulmonary function in SARS-COV-2 patients through inhibitory effects on the Angiotensin-converting enzyme (ACE) and reduce Angiotensin (ANG-II). Moreover, omega-3 fatty acids may improve oxygenation, acidosis, and renal function. Dietary fiber may also produce anti-inflammatory effects by reducing the level of high-sensitivity C-Reactive Protein (hs-CRP), Interleukin (IL-6), and Tumor necrosis factor (TNF-α). In addition, some evidence indicates that probiotics significantly improve oxygen saturation which may enhance survival rate. In conclusion, the consumption of a healthy diet including adequate macronutrients and probiotic intake may decrease inflammation and oxidative stress. Following this dietary practice is likely to strengthen the immune system and have beneficial effects against SARS-COV-2.

Habitual night sleep duration is associated with general obesity and visceral obesity among Chinese women, independent of sleep quality

Purpose

Research on the relationship between sleep duration and obesity defined using multiple anthropometric and bioelectrical indices in women remains scarce. We aimed to explore the association between sleep duration and body mass index (BMI), waist-hip ratio (WHR), body fat percentage (PBF) and visceral fat area (VFA) among females.

Methods

We recruited women for medical examination using multistage cluster sampling. Sleep was assessed using Pittsburgh Sleep Quality Index (PSQI) and sleep duration was categorized into short (<7 h), optimal (7 <9 h) and long sleep (≥ 9 h). Weight and height were measured using a calibrated stadiometer. Waist circumference was manually measured. PBF, and VFA were estimated by bioelectrical impedance analysis. Data on sociodemographic characteristics and lifestyle factors were also collected and included in the logistic regression models to explore the independent association between sleep duration and obesity defined by different indices.

Results

A total of 7,763 women with a mean age of 42.6 ± 13.5 years were included. The percentage of women reporting short and long sleep was 10.3 and 13.4% respectively. The mean BMI, WHR, PBF and VFA were 23.07 ± 3.30 kg/m², 0.78 ± 0.06, 32.23 ± 6.08% and 91.64 ± 35.97cm², respectively. Short sleep was independently associated with 35% (95% CI: 1.05-1.75) increased odds of general obesity (BMI ≥ 28 kg/cm²), and long sleep was associated with 18% (95% CI: 1.01-1.37) increased odds of visceral obesity (VFA > 100 cm²). No association was observed between sleep deprivation or excessive sleep and high WHR or high PBF.

Conclusion

In women, short sleep was associated with an increased odds of general obesity, whereas long sleep was associated with an increased odds of visceral obesity. Longitudinal observations are needed to confirm this cross-sectional relationship.

Males With Traumatic Lower Limb Loss Differ in Body Fat Distribution Compared to Those Without Limb Loss

OBJECTIVES

The primary objective was to examine body fat composition in males with traumatic lower limb loss and a comparison group without limb loss. A secondary objective was to determine if there are differences in body fat composition by traumatic limb loss level.

RESEARCH METHODS AND PROCEDURES

Cross-sectional analyses of baseline in-person intake data was completed at a large military medical center. Data were collected from 2011 to 2020, and analysis was conducted in 2020. Participants (n = 89) included males who sustained traumatic lower limb loss (n = 50) and an age-matched comparison group without limb loss (n = 39). Mean age of participants was 36.0 ± 13.2 years. Main outcomes measured included age, height, body mass index, weight, body fat mass and percent, android fat mass and percent, gynoid fat mass and percent, and android/gynoid percent fat ratio. Differences between groups were assessed using t-tests or Mann-Whitney U tests. Differences between limb loss levels were assessed using one-way ANOVA or Wilcoxon signed-rank test.

RESULTS

Body fat percent (P = .001), gynoid fat percent (P = .010), android fat mass (P = .01), and percent (P = .02) were higher in the group with limb loss. There were no differences in body fat composition between limb loss levels (P > .05).

CONCLUSION

Males with traumatic lower limb loss had a higher body fat percent compared to those without limb loss. Given higher body fat composition in individuals with limb loss and the relationship between body fat composition and cardiovascular disease risk, including body composition analysis with clinical screening could identify changes and allow for early intervention.

Changes in Anthropometric Measurements and Physical Fitness of Polish Students in 20-Year Period

BACKGROUND

Intergenerational changes are still being recorded worldwide, although their magnitude and direction may vary in different countries. The aim of this study was to determine changes in the magnitude and direction of changes in the body morphology and motor abilities of physically active adults over 20 years.

METHODS

Two hundred and fifty-two individuals aged 18-28 years volunteered to participate in the study. The changes were analyzed over a 20-year period (March 2001; P₁ vs. March 2022; P₂). The measured parameters were body height, weight, and body fat. Further, hand grip strength with dynamometer measurement, a sit-up test, a sit and reach test, and a standing long jump were performed to examine motor abilities. The results of the conducted tests were compared between subjects from both periods.

RESULTS

Our study confirms changes in trends concerning body morphology and motor ability performance. Higher values of body mass index and body fat were observed in P₂ women, whereas these differences were not significant in men. Additionally, in terms of physical performance, the P2 group noted worse results than their peers from the past.

CONCLUSION

Despite young adults claiming to have similar physical activity levels to those observed in the past, they demonstrate poorer physical performance and higher body fat levels. The observed changes can be considered negative.

Web-based training intervention to increase physical activity level and improve health for adults with intellectual disability

BACKGROUND

Individuals with intellectual disability (ID) are less physically active, have a higher body mass index (BMI) and are at greater risk for cardiovascular diseases (CVDs) than people without ID. The purpose of the study was to explore the effectiveness of a web-based training programme, consisting of 150 min of activity per week, on the health of people with ID.

METHOD

Participants with ID living in supported accommodation (n = 28, 48% female, age = 36.4 ± 9.56 years) participated in a web-based training programme, consisting of a combination of exercises (endurance, strength balance and flexibility) of moderate intensity, 50 min, three times per week for 12 weeks. The body composition and waist circumference (WC) were measured, and questionnaires were used to assess enjoyment, quality of life (QoL) and physical activity (PA) level. Descriptive statistics and pairwise comparison pre and post intervention were carried out.

RESULTS

A total of 22 out of 28 participants completed the 12-week training intervention with 83% mean attendance of training sessions. The intensity of the PA level increased and a decrease in fat mass of 1.9 ± 2.4 kg, P < 0.001 and WC of 3 ± 5 cm, P = 0.009 were observed. Enjoyment of training sessions was 3.9 out of 5, and no differences in QoL were found.

CONCLUSION

A web-based training programme is an effective tool for improving health parameters of people with ID and offers a new way for caregivers to enhance the PA for the target group.

Metabolically unhealthy phenotype in normal weight population and risk of mortality and major adverse cardiac events: A meta-analysis of 41 prospective cohort studies

BACKGROUND AND AIMS

It is still debatable whether metabolic status in normal weight population increases the risk of mortality (all-cause mortality (ACM), cardiovascular mortality (CVM)) and major adverse cardiac events (MACE) as compared to the obese population. Therefore, this meta-analysis aims to evaluate the association of the metabolically unhealthy normal weight (MUH-NW) phenotype with all-cause mortality, cardiovascular mortality, and MACE in comparison to metabolically healthy obesity (MH-O), along with the association of metabolically unhealthy obesity (MUH-O) phenotype regarding the same outcomes compared to MUH-NW.

METHODS

A systematic literature search was conducted using online databases from inception to June 20, 2022, to comprehensively search all prospective cohort studies comprising three variables including adults aged ≥18 years, obesity and four metabolic phenotypes, and interest outcomes (ACM, CVM, and MACE).

RESULTS

Forty-one prospective cohort studies with a total of 4,028,750 participants was included in this study. Compared to MH-O, MUH-NW had a substantially higher risk of ACM (RR = 1.47 (95%CI = 1.32-1.64); P < 0.001; I² = 89.8%,P-heterogeneity<0.001), CVM (RR = 2.37 (95%CI = 1.97-2.86); P < 0.001; I² = 83.7%,P-heterogeneity<0.001), and MACE (RR = 1.73 (95%CI = 1.49-2.00); P < 0.001; I² = 74.3%,P-heterogeneity<0.001). Moreover, MUH-O did not have a significantly elevated risk of ACM (RR = 0.97 (95%CI = 0.82-1.15); P = 0.736; I² = 98.3%,P-heterogeneity<0.001), CVM (RR = 0.96 (95%CI = 0.88-1.05); P = 0.394; I² = 77.0%,P-heterogeneity<0.001), and MACE (RR = 0.95 (95%CI = 0.80-1.13); P = 0.570; I² = 92.2%,P-heterogeneity<0.001) compared to MUH-NW.

CONCLUSION

In conclusion, MUH-NW was superior but not inferior to MH-O and MUH-O in terms of increased risk of interest outcomes, refuting the notion that normal weight population is a benign condition. Hence, in normal weight population, metabolic screening is highly suggested to measure the baseline of obesity and metabolic phenotypes, thus preventing the risk of CVD and mortality in the future.

The Use of Different Anthropometric Indices to Assess the Body Composition of Young Women in Relation to the Incidence of Obesity, Sarcopenia and the Premature Mortality Risk

The objective of the study was to evaluate the stratification of young women based on the assessment of body composition according to several currently recommended anthropometric indices and parameters, as well as the presence of obesity, sarcopenic obesity and the risk of premature death. Three hundred and three young Caucasian women aged 18-25 years were included in the cross-sectional observational study. For the purposes of the study, we used the bioelectrical impedance method and applied the obtained data to calculate indices defining obesity, sarcopenic obesity and premature mortality risk (ABSI z-score). We found significant differences between indicators of total and abdominal obesity when determining the rate of risk of premature death and diagnosis of obesity. Our results also suggest that FMI and FM/FFM indices correlate excellently with fat mass and visceral adipose tissue, better than BMI. Even in the case of abdominal obesity, FMI appears to correlate relatively strongly, more so than BMI. The results of the study support the opinion that in the assessment of body composition and health status, the presence of obesity (sarcopenic obesity) and the risk of premature death, anthropometric parameters and indices focusing not only on body weight (BMI, ABSI), but also on the proportionality and distribution of fat (WC, WHR, WHtR, VFA) and muscle tissue (FFMI, SMMI, FM/FFM ratio) should be used.

Physical Activity, Sedentary Behaviour, Weight Status, and Body Composition among South African Primary Schoolchildren

Background: Over the past decades, childhood overweight has increased in many African countries. We examined the relationship between sedentary behaviour, moderate-to-vigorous physical activity (MVPA), and body composition in South African primary schoolchildren living in peri-urban settings. Methods: MVPA was measured via 7-day accelerometry and body composition via bioelectrical impedance analysis in 1090 learners (49.2% girls, M_age = 8.3 ± 1.4 years). The relationships between MVPA and sedentary behaviour with the various body composition indicators (body fat and fat-free mass [total, truncal, arms, and legs], bone mass, muscle mass, and body water) were tested with mixed linear regressions. Results: The prevalence of overweight and obesity was 9.8% and 6.6%, respectively; 77.1% of the children engaged in ≥60 min of MVPA/day. Girls were more likely to be overweight/obese, to accumulate less than 60 min of MVPA/day, and had significantly higher relative body fat than boys (ps < 0.001). Lower MVPA was associated with a higher likelihood of being overweight/obese, higher relative body fat, and lower relative fat-free mass, bone mass, muscle mass, and body water (ps < 0.001). For lower sedentary behaviour, the associations with body composition pointed in the opposite direction. Conclusions: In this South African setting, girls are a particularly relevant target group for future physical activity interventions to prevent overweight/obesity-related non-communicable diseases in later life.

The Relationship between Body Composition and ECG Ventricular Activity in Young Adults

This study aimed to determine the correlation between body composition (measured as weight, body mass index, and body fat percentage (BFP)) and electrocardiographic ventricular parameters (the QT and TQ intervals and the ratios between the electrical diastole and electrical systole (TQ/QT) and between the cardiac cycle and electrical diastole (RR/TQ), both for uncorrected and corrected intervals) in a sample of 50 healthy subjects (age interval 19-23 years, mean age 21.27 ± 1.41 years, 33 women and 17 men). Subjects' measurements were performed with a bioimpedancemetry body composition analyzer and a portable ECG monitor with six leads. Starting from the correlations obtained between the investigated continuous variables, we performed a standard linear regression analysis between the body composition parameters and the ECG ones. Our results revealed that some of our regression models are statistically significant (p < 0.001). Thus, a specific part of the variability of the dependent variables (ECG ventricular activity parameters for corrected QT intervals) is explained by the independent variable BFP. Therefore, body composition influences ventricular electrical activity in young adults, which implies a differentiated interpretation of the electrocardiogram in these situations.

Anthropometric Indicators to Estimate Percentage of Body Fat: A Comparison Using Cross-Sectional Data of Children and Adolescents in Ho Chi Minh City, Vietnam

OBJECTIVES

To compare the association between waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body mass index (BMI), and percentage of body fat (PBF) measured by dual energy X-ray absorptiometry (DXA) method in children and adolescents of Vietnam.

METHODS

This cross-sectional study included 153 children and adolescents aged 6-18 y old in Ho Chi Minh City, Vietnam. Correlations between indicators were determined using Pearson correlation coefficient (r). Linear regression was carried out with PBF as dependent variable to test the further association of potential indicators.

RESULTS

The strongest correlation was found between PBF and WHtR in all pubertal stages (0.712; 0.556; 0.638 in male; 0.635; 0.799; 0.611 in female, respectively). The regression analysis indicated that WHtR was the most effective estimator of PBF ([Formula: see text] = 0.69, RMSE = 4.54 for male; [Formula: see text] = 0.50, RMSE = 4.34 for female) in the model including pubertal stage variable for each gender.

CONCLUSIONS

The results support the use of WHtR as an effective indicator for detecting adiposity in Vietnamese children and adolescents.

Performance of body mass index and body fat percentage in predicting metabolic syndrome risk factors in diabetic patients of Yazd, Iran

BACKGROUND

Body Fat percentage (BFP) and body mass index (BMI) are used to measure obesity-related metabolic syndrome risk. The present study aimed to determine the values of percent body Fat and body mass index for predicting metabolic syndrome risk factors in diabetic patients of Yazd, Iran.

METHODS

A total of 1022 (499 males and 523 females) diabetic patients participated in this study. According to Asian BMI criteria, Overweight was diagnosed if a participant had a BMI ≥25 kg/m² (both male and female) or BFP ≥25% for male and ≥ 32% for female. Based on calculated BMI and BFP and after adjusting for age, height, weight and smoking habits, the participants were classified into group A (normal weight and Non-Fat), group B (overweight and Non-Fat), group C (normal weight and Fat), and group D (overweight and Fat).

RESULTS

According to the results, the BMI of 23.4% were normal and BMI of 76.6% were overweight, respectively. Moreover, the BFP of 25.7 and 74.3% of the studied population were considered as Non-Fat and Fat, respectively. A strong relationship was found with respect to sex stratification; R² = 0.79. For men, BMI can be a better predictor of hypertension and hypertriglyceridemia than BFP. For women, BMI was a better predictor of hyperglycemia than BFP. Moreover, BFP can be regarded as a better predictor of hyperglycemia in male group, while it was a good predictor of hypertension and hypertriglyceridemia and hypo HDL than BMI, in female group.

CONCLUSION

Significant differences were observed between BMI and BFP to predict metabolic syndrome risk factors in diabetic patients across different sexes in our study population. In conclusion, both BMI and BFP should be considered in screening steps.

Cardiometabolic risk factors in adults with normal weight obesity: A systematic review and meta-analysis

Normal weight obesity (NWO) is a new emerging phenotype of obesity, defined as a normal body mass index with a high body fat percentage. While several studies have described the impact of NWO on cardiometabolic risk factors, the association between them remains uncertain. This meta-analysis systematically evaluated cardiometabolic risk factors in adults with NWO compared to adults with normal weight lean (NWL). A systematic literature search was performed from the inception until September 21, 2021 in order to comprehensively search for all observational studies that had three important variables, including adults (age ≥18 years old), NWO and cardiometabolic risk factors including metabolic syndrome, hypertension, diabetes mellitus, dyslipidaemia or all laboratory findings related to cardiometabolic risk factors. Twenty-four cross-sectional studies with a total of 75 201 subjects are included in the qualitative and quantitative analysis. Overall, older age and female sex are more likely in NWO population. Compared to NWL, NWO is significantly associated with cardiometabolic risk factors, including metabolic syndrome (OR = 2.24 [1.74, 2.89]; p < .001; I2  = 76%, Pheterogeneity  < 0.001), hypertension (OR = 1.60[1.36, 1.89]; p < .001; I2  = 76%, Pheterogeneity  < 0.001), diabetes mellitus (OR = 1.72[1.54, 1.92]; p < .001; I2  = 47%, Pheterogeneity  < 0.001), dyslipidaemia (OR = 1.50 [1.03, 2.18]; p = .03; I2  = 94%, Pheterogeneity  < 0.001) and other laboratory findings, except for C-reactive protein in both sexes group; and adiponectin levels in female group. Our meta-analysis showed that NWO was associated with cardiometabolic risk factors. Thus, the traditional definition of obesity using the BMI criteria should be challenged, as those with NWO might still be exposed to a heightened risk of cardiometabolic disorders. Nonetheless, further prospective cohort studies are needed better to understand this syndrome.

Heart Rate Variability in Hyperthyroidism: A Systematic Review and Meta-Analysis

Objective: Cardiovascular effects of thyroid hormones may be measured through heart rate variability (HRV). We sought to determine the impact of hyperthyroidism on HRV. Design: A systematic review and meta-analysis on the impact of hyperthyroidism on HRV. Methods: PubMed, Cochrane, Embase and Google Scholar were searched until 20 August 2021 for articles reporting HRV parameters in untreated hyperthyroidism and healthy controls. Random-effects meta-analysis was stratified by degree of hyperthyroidism for each HRV parameter: RR intervals (or Normal-to-Normal intervals—NN), SDNN (standard deviation of RR intervals), RMSSD (square root of the mean difference of successive RR intervals), pNN50 (percentage of RR intervals with >50 ms of variation), total power (TP), LFnu (low-frequency normalized unit) and HFnu (high-frequency), VLF (very low-frequency), and LF/HF ratio. Results: We included 22 studies with 10,811 patients: 1002 with hyperthyroidism and 9809 healthy controls. There was a decrease in RR (effect size = −4.63, 95% CI −5.7 to −3.56), SDNN (−6.07, −7.42 to −4.71), RMSSD (−1.52, −2.18 to −0.87), pNN50 (−1.36, −1.83 to −0.88), TP (−2.05, −2.87 to −1.24), HFnu (−3.51, −4.76 to −2.26), and VLF power (−2.65, −3.74 to −1.55), and an increase in LFnu (2.66, 1.55 to 3.78) and LF/HF ratio (1.75, 1.02 to 2.48) (p < 0.01). Most parameters had ES that was twice as high in overt compared to subclinical hyperthyroidism. Increased peripheral thyroid hormones and decreased TSH levels were associated with lower RR intervals. Conclusions: Hyperthyroidism is associated with a decreased HRV, which may be explained by the deleterious effect of thyroid hormones and TSH. The increased sympathetic and decreased parasympathetic activity may have clinical implications.

Association between dietary saturated fat with cardiovascular disease risk markers and body composition in healthy adults: findings from the cross-sectional BODYCON study

Background

Diets high in saturated fatty acids (SFAs) and greater abdominal obesity are both associated with raised low-density lipoprotein cholesterol (LDL-C) concentrations, an independent cardiovascular disease (CVD) risk marker. Although reducing SFA intake is a public health strategy for CVD prevention, the role of body fat distribution on the relationship between SFA and LDL-C is unclear. Therefore, our objective was to investigate whether the association between dietary SFAs and LDL-C concentrations is related to body composition.

Methods

In the BODYCON (impact of physiological and lifestyle factors on body composition) study, 409 adults [mean age 42 ± 16 years and median BMI of 23.5 (21.5–25.9) kg/m²] underwent a measure of body composition by dual energy x-ray absorptiometry, assessment of habitual dietary intake using a 4-day weighed food diary and physical activity level using a tri-axial accelerometer. Blood pressure was measured, and a fasting blood sample was collected to determine cardiometabolic disease risk markers. Correlations between body composition, circulating risk markers and dietary macronutrients were assessed prior to multivariate regression analysis. The effect of increasing intakes of dietary SFA on outcome measures was assessed using ANCOVA after adjusting for covariates.

Results

Abdominal visceral adipose tissue (VAT) mass was moderately positively correlated with total cholesterol (TC), LDL-C, systolic blood pressure (SBP), diastolic blood pressure and HOMA-IR (r_s = 0.25–0.44, p < 0.01). In multiple regression analysis, 18.3% of the variability in LDL-C was explained by SFA intake [% total energy (TE)], abdominal VAT mass, carbohydrate%TE and fat%TE intakes. When data were stratified according to increasing SFA%TE intakes, fasting TC, LDL-C and non-high-density lipoprotein-cholesterol were higher in Q4 compared with Q2 (p ≤ 0.03). SBP was higher in Q4 versus Q3 (p = 0.01). Android lean mass was also higher in Q3 versus Q1 (p = 0.02). Other anthropometric and CVD risk markers were not different across quartile groups.

Conclusions

Although dietary SFA was found to explain 9% of the variability in LDL-C, stratification of data according to quartiles of SFA intake did not reveal a dose-dependent relationship with LDL-C concentration. Furthermore, this association appeared to be independent of abdominal obesity in this cohort.

Clinical Trail registration: Trial registration: clinicaltrials.gov as NCT02658539. Registered 20 January 2016, https://clinicaltrials.gov/ct2/show/NCT02658539.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12986-022-00650-y.

Changes in Sugar Sweetened Beverage Intake Are Associated with Changes in Body Composition in Mexican Adolescents: Findings from the ELEMENT Cohort

Changes in consumption of sugar sweetened beverage (SSBs) have been associated with increased body mass index (BMI), but little work has evaluated the effect on waist circumference (WC) and body fat percentage during adolescence, a period characterized by rapid growth and change in dietary behaviors. We examined the relationship of changes in SSB intake and changes in adiposity over two years in 464 Mexican adolescents. Food frequency questionnaires were used to sum intake of regular soda, coffee with sugar, tea with sugar, sweetened water with fruit, chocolate milk, corn atole, and a sweetened probiotic milk beverage. Linear regression models were used to estimate the associations of changes in SSBs with changes in BMI, body fat percentage, and WC, adjusting for sex, socioeconomic status, screen time, physical activity, age, and change in age. Adolescents who increased their daily SSB intake by >2 serving had a −2.72% higher body fat percentage (95% CI: 0.61, 4.82); a 1−2 serving increase was associated with a 2.49 cm increase (95% CI: 0.21, 4.76) in WC compared with those with no change in intake. Within an adolescent sample, changes in SSB intake were related to concomitant changes in body fat percentage and WC, but not BMI.