Anthropometric Variables Research Articles

The effects of time-restricted eating alone or in combination with probiotic supplementation in comparison with a calorie-restricted diet on endocrine and metabolic profiles in women with polycystic ovary syndrome: A randomized clinical trial.

To assess the impact of intermittent fasting, with or without probiotic supplementation, versus a calorie-restricted diet on anthropometric measures, metabolic status and gonadal variables in women with polycystic ovary syndrome (PCOS). This is a randomized, placebo-controlled, parallel-arm clinical trial. The effects of the 14:10 early time-restricted eating (eTRE) strategy alone or combined with probiotics, on obese women with PCOS, were investigated. Participants were divided into three groups: eTRE plus probiotics (n = 30), eTRE plus placebo (n = 30) and a control group following a standard three-meal-per-day diet with daily calorie restriction (DCR) (n = 30). Over 8 weeks, various anthropometric, metabolic, menstrual and gonadal variables were assessed. A total of 90 individuals were included in the study, with a mean body weight of 81.4 kg, and a mean age of 30 years. Mean (standard deviation) weight loss was not different between the groups at week 8 (TRE + probiotic: -2.2 [1.6] kg vs. TRE + placebo: -2.9 [2.7] kg vs. DCR: -2.5 [1.7] kg). Results revealed that, while all three regimes led to reductions in body weight, body mass index, vascular risk indicators, hirsutism and acne scores, there were no statistically significant differences between the eTRE groups and the control group in terms of weight loss, or improvements in metabolic, menstrual and gonadal variables (P > .05). Additionally, combining probiotics with eTRE did not benefit hormonal and cardiometabolic factors (P > .05). The eTRE alone or eTRE plus probiotics did not result in significantly greater weight loss or improvements in metabolic, menstrual and gonadal variables compared with the standard three-meal DCR diet.

Características Cineantropométricas en Jugadores Profesionales de Rugby Sevens

Introduction: Rugby sevens or 7s is a team sport, descended from rugby 15s or rugby union. It is considered a sport of high intensity and intermittent effort, where positions are very well defined but there is small between-athletes variability of physical characteristics. Objective: The goal of the study was to analyze the anthropometric characteristics, body composition, somatotype and proportionality in players of the Spanish rugby sevens team. Material and methods: Anthropometric variables were evaluated in 16 players in order to obtain information regarding body composition, somatotype and proportionality following the standard techniques proposed by the International Society for the Advancement of Kinanthropometry (ISAK). Results: The data obtained regarding height and weight, muscle percentage (45.05 ± 5.02), bone (16.25 ± 1.72) and fat percentage (7.98 ± 1.32) are comparable to the obtained information of rugby union players who play in the three quarters position. Participants were predominantly classified as balanced mesomorphs, which are characterized by increased skeletal muscle development. Discussion: Body composition as well as somatotype values are similar to other studies results according to elite athletes in intermittent sports that do not require high fat percentages. Conclusion: Despite being tall and with large body mass athletes, their high muscle percentage can provide this type of athlete greater power and speed, necessary to support the high demands of competition in this sport.

Examination of Coaches’ Daytime Sleepiness Levels in Terms of Gender, Physical Activity Level and Waist Circumference

Introduction and Aim: The aim of this study is to examine coaches’ daytime sleepiness levels in terms of gender, physical activity level and some anthropometric variables. Materials and Methods: Participants in the study were 330 coaches, 173 of whom were women, working in the branches of basketball, boxing, fitness, football, karate, kickboxing, taekwondo and volleyball in the Bağcılar district of Istanbul. The participants’ daytime sleepiness levels were determined with the Epworth Sleepiness Scale, whose Turkish validity and reliability study was conducted by İzci et al. (2008), while their physical activity levels were determined with the International Physical Activity Questionnaire (IPAQ) short form, whose Turkish validity and reliability study was performed by Öztürk (2005). The participants’ anthropometric characteristics (body weight, height and waist circumference) were assessed on a self-report basis. Findings: Female coaches’ scores on the Epworth Sleepiness Scale were higher than those of male coaches (p < 0.05). In terms of physical activity level, male coaches’ IPAQ scores were higher than those of female coaches (p = 0.00). Waist circumferences and body mass indices (BMI) of male coaches were higher than those of female coaches (p = 0.00). No correlation was found between daytime sleepiness level and BMI (r = .066) or waist circumference (r = -.050) (p > 0.05). A significant negative correlation was found between physical activity level and daytime sleepiness level (r = -113, p < 0.05). Conclusion: The detection of a significant negative correlation between physical activity level and daytime sleepiness level indicates that physical activity is important for sleep health, which is similar to the literature. However, the fact that the study participants were young makes it difficult to explain the relationships between physical activity, gender, daytime sleepiness level and body composition. Repeating the study with middle-aged adults and older adults may produce different results

Exploring individual, social and environmental factors related to physical activity: a network analysis

ObjectivesInsufficient physical activity (PA) has long been a global health issue, and a number of studies have explored correlates of PA to identify the mechanisms underlying inactive lifestyles. In the...

Ultrasonographic Assessment of the Thymus Among Neonates Admitted in a Special Newborn Care Unit of a Medical College Hospital in Eastern India.

The thymus is essential for the maturation of T-lymphocytes, crucial for adaptive immunity. In neonates, thymic development is influenced by factors such as gestational age, birth weight, birth length, etc. Ultrasonography offers a non-invasive method to assess thymic size and morphology. However, there is limited research on thymic ultrasonography among neonates in Eastern India. This study aimed to investigate the ultra-sonographic characteristics of the thymus in neonates admitted to a Special Neonatal Care Unit (SNCU) in Eastern India and its correlation with certain clinical and anthropometric variables. Conducted from May to July 2024, this cross-sectional observational study involved 80 neonates admitted to the SNCU at the College of Medicine & Sagore Dutta Hospital. Thymic ultrasonography, using an Esaote MylabX7 ultrasound machine with a 3-11 MHz linear probe (Esaote, Genoa, Italy), measured thymic length, width, anteroposterior (AP) dimension, sagittal area, and thymic index. Clinical data, including gestational age, birth weight, birth length, and antibiotics received, were collected from medical records. Pearson's correlation coefficient and linear regression analysis were used to examine correlations and predictors of thymic dimensions. The cohort consisted of 45 boys (56%) and 35 girls (44%). The average birth weight was 2,626 grams for boys and 2,639 grams for girls. The median gestation period was 38 weeksfor both groups. Thymic measurements did not significantly differ by gender. Correlation analysis revealed significant relationships between thymic dimensions and neonatal anthropometric measurements. Birth weight showed a strong positive correlation with thymic length (r = 0.486) and width (r = 0.233). Linear regression identified birth weight as a significant predictor of the thymic index (p < 0.001), explaining 21.2% of the variance. This study provides insights into the factors associated with thymic size in neonates, highlighting the critical role of birth weight in thymic development. Future research should explore additional variables influencing thymic size and consider larger sample sizes to enhance model explanatory power and its potential role in immunity.

Ángulo de fase: diferencias entre desnutrición relacionada con la enfermedad, obesidad y población sana

Introduction: Bioelectrical Impedance Analysis (BIA) is a tool used in clinical nutrition and pure electrical data such as phase angle (PA) has shown prognostic value. It relates resistance and reactance indicating cellular health.Objective: To determine differences in PA between patients with obesity and disease-related malnutrition (DRM) compared to the healthy population, and to establish associations between PA and other body composition (BC) parameters.Materials and methods: Retrospective observational study with 1079 patients from the Obesity and Nutrition Department of the Complejo Asistencial Universitario de León between April/2014 and August/2022 as well as 86 healthy controls. Demographic and anthropometric variables were collected and BC was performed with BIA Tanita MC780®. Diagnosis of malnutrition according to GLIM criteria and obesity with body mass index (BMI).Results: PA50KHz in obesity group is 5.98º, DRM 4.79º and control group 6.08º. Statistically significant differences in PA between DRM and control groups, as well as DRM and obesity (p<0.001). Weak positive correlation in total population (r=0.452, p<0.001) as well as control group (r=0.463, p<0.001) between BMI and PA. Weak negative correlation in the total population (r=-0.408, p<0.001), DRM (r=-0.268, p<0.001) and obesity (r=-0.342, p<0.001) between age and PA.Conclusions: In this study, significantly lower PA was observed in the DRM group than in the control and obesity groups. No statistically significant differences between PA in the obesity and control groups and no correlation between BMI and PA in the obesity group. More studies are needed to standardise cut-off points in different contexts and populations.

Comparing Ultrasound and MRI Evaluations of the Hamstring Tendon for Predicting Autograft Size in Anterior Cruciate Ligament Reconstruction.

Adequate graft size and length are crucial factors in anterior cruciate ligament (ACL) reconstruction. Accurate identification of patients who may be at risk for an insufficient length or size of the hamstring tendon (HT) can aid surgeons in preoperative planning. To evaluate whether magnetic resonance imaging (MRI) or ultrasound could more accurately predict the size of the semitendinosus tendon (ST) and gracilis tendon (GT) and to investigate the correlation between anthropometry, graft size, and imaging measurements to find a predictive formula. Cross-sectional study; Level of evidence, 3. Included in the study were 36 patients who underwent ACL reconstruction with HT autograft at our institution between July 2021 and May 2022. Anthropometric data and MRI and ultrasound measurements were collected preoperatively. The length and diameter of the HT were recorded intraoperatively. Correlations between anthropometry, graft size, and imaging measurements were analyzed. Linear regression analysis was performed to construct a prediction formula. The intraoperative graft diameters of the ST and GT were weakly to moderately associated with their cross-sectional areas as measured by MRI and ultrasound. MRI and ultrasound interpreted 11.9% to 15.7% and 18.4% to 41.7% of the variation in the graft diameter of the HT, with an accuracy of 50.0% to 55.6% and 69.4% to 86.1%, respectively. The intraoperative lengths of the ST and GT were both associated with patient height and tendon lengths as measured by ultrasound. Additionally, intraoperative GT length was associated with patient weight. Four formulas combining relevant anthropometric parameters and imaging measurements were calculated from multilinear regression analysis, explaining up to 46.3% of the variance in the size of HT. Ultrasound and MRI alone showed limited ability to predict the graft diameter of the ST and GT, while ultrasound could more accurately predict the graft size than MRI. Among the different anthropometric variables, height was the most influential in predicting tendon length.

Kinematic Modeling of Pitch Velocity in High School and Professional Baseball Pitchers: Comparisons With the Literature.

Kinematic parameters predictive of pitch velocity have been evaluated in adolescent and collegiate baseball pitchers; however, they have not been established for high school or professional pitchers. To create multiregression models using anthropometric and kinematics features most predictive for pitch velocity in high school and professional pitchers and compare them with prior multiregression models evaluating other playing levels. Descriptive laboratory study. High school (n = 59) and professional (n = 337) baseball pitchers threw 8 to 12 fastballs while being evaluated with 3-dimensional motion capture (480 Hz). Using anthropometric and kinematic variables, multiregression models for pitch velocity were created for each group. A systematic review was conducted to determine previous studies that established kinematic models for ball velocity in youth, high school, and collegiate pitchers. Leg length was predictive of pitch velocity for high school and professional pitchers (P < .001 for both). When compared with previously established models for pitch velocity, almost all groups were distinct from one another when assessing age (P maximum < .001), weight (P max = .0095), and pitch velocity (P max < .001). Stride length was a significant predictor for the youth/high school pitchers, as well as the current study's high school and professional pitchers (P < .001 for all). Maximal shoulder external rotation (collegiate: P = .001; professional: P < .001) and maximal elbow extension velocity (high school/collegiate: P = .024; collegiate: P < .001; professional: P = .006) were shared predictors for the collegiate and current study's professional group multiregression models. Trunk flexion at ball release was a commonly shared predictor in the youth/high school (P = .04), high school/collegiate (P = .003), collegiate (P < .001), and the current study's professional group (P < .001). Youth, high school, collegiate, and professional pitchers had unique, predictive kinematic and anthropometric features predictive of pitch velocity. Leg length, stride length, trunk flexion at ball release, and maximal shoulder external rotation were predictive features that were shared between playing levels. Coaches, clinicians, scouts, and pitchers can consider both the unique and the shared predictive features at each playing level when attempting to maximize pitch velocity.

Impact of Anthropometric Characteristics on Football Performance by Playing Position

The purpose of the present study is to find out the correlation between anthropometric variables and different playing positions in football. The objective of this study is to examine and compare the different body measurements of district-level football players across different playing positions: defenders, midfielders, and forwards. Body measurements are critical anthropometric attributes that contribute significantly to a football player's performance, and understanding their variation across positions can provide valuable insights into position-specific training and talent identification. A sample of 90 players from Bhopal district-level teams was selected for the study, and their body measurements were assessed through standardized anthropometric kit. The findings suggest that position-specific anthropometric variable could enhance the performance of football players, and coaches should consider these differences when developing conditioning programs. The study highlights the importance of specific anthropometric characteristics in determining positional effectiveness on the football field. These findings suggest that coaches and scouts should incorporate anthropometric data into player recruitment and development strategies, allowing for position-specific training that enhances individual and team performance. Tailoring physical conditioning based on these characteristics could further optimize athletic output and overall gameplay.

A study on nutritional status among rural Bengalee Muslim school going adolescent girls

Background: Adolescent period is in-between period of childhood and adulthood. Studies revealed that rural female adolescents are suffering more than the urban girls, due to insufficient food intake, poor healthcare facilities and socioeconomic differences. Present study was an attempt to survey current malnutrition scenario among rural adolescent girls of Bengalee Muslim community of Cooch Behar district, West Bengal, India. Methods: A community based, cross sectional study has conducted from April to May, 2023 among rural Bengalee Muslim adolescent girls aged 10-14 years (n=160) of Cooch Behar district, West Bengal, India. Data were collected after informing and explaining the purpose of the present study to school authorities, students and their parents. Three anthropometric measurements like, height, weight, MUAC recorded using standard procedures. Derived variable BMI was calculated and nutritional status was assessed using height for age and BMI for age. The degree of stunting (low height for age) and thinness (low BMI for age) were categorized on the basis of the position of the plot. Age specific mean and standard deviation was done. One way ANOVA was done to find out age specific mean differences in the Anthropometric variables. The p value &lt;0.05 was considered as statistically significance. Results: Overall prevalence of stunting and thinness was 28.12% and 22.5% respectively. Prevalence of overall severe stunting and thinness was 10.6% and 10% respectively. Overall prevalence of overweight was 11% respectively. Conclusions: Present study revealed about existence of double burden of malnutrition among rural Bengalee Muslim population.

Workplace Health Promotion in Italian University Employees: Effects on Body Composition and Mediterranean Diet Adherence.

As Workplace Health Promotion is spreading among several working environments, the university context seems to be one of the best to apply primary prevention activities. Working in this direction, the University of Torino led the Wellness@Work for UniTo Project (W@W), with the aim of promoting employees' health. Internal university professionals assessed body composition and adherence to the Mediterranean diet (MD), giving on-target advice for improving lifestyle. The aim of this paper is to evaluate the effectiveness of the W@W Project after a 4-month intervention period. This project was addressed to university employees, who could participate on a voluntary basis. Researchers assessed (T1) socio-demographic information and collected anthropometric variables. Body composition was evaluated through Classic and Specific Bioelectrical impedance Vector Analysis (BIVA). Adherence to the MD was assessed through the Medi-Lite questionnaire. After the assessments, participants were given 5-min counselling from internal professionals. After about 4 months, participants were supposed to undergo same assessments (T2). Overall, 479 workers joined the project, and of those, 246 came back for the T2 assessment. Globally, either anthropometric, body composition, or MD variables improved significantly after 4 months, both for male and female samples, suggesting how an easy-to-apply WHP intervention could help to improve workers' health.

Menstrual Abnormalities and Body Adiposity among the Poumai Women of Manipur, North East India

Abstract Objective The present study aims to understand the prevalence of certain menstrual abnormalities among the adolescents and adults of the Poumai tribe of Manipur and explore the association of anthropometric variables and body adiposity with menstrual disorders. Materials and Methods The study is a cross-sectional study conducted on 1,008 Poumai women among the reproductive age groups, consisting of 496 adolescents and 512 adults. Menstrual history was collected from each participant, and menstrual abnormalities in the menstrual frequency and flow volume were identified per the International Federation of Gynecology and Obstetrics classification. Relative indices of the measured anthropometric variables defined body adiposity. Descriptive statistics and tests of significance were calculated. Regression odd ratio analysis was also conducted to infer the odds ratio risk of menstrual abnormalities. Results The overall prevalence of menstrual frequent and infrequent is 8.2% and 19.6%, respectively, where frequent is more prevalent in adolescents and infrequent in adults. Note that 15.4% and 5.6% of the women have a heavy and light flow, while comparatively, adults have a higher prevalence of heavy and light flow than adolescents. Anthropometric variables are associated with menstrual frequency abnormalities among adolescents, while these variables are associated with menstrual frequency and flow volume abnormalities in adults. Higher body adiposity has a higher odd ratio to the studied menstrual abnormalities, significantly with light menstrual flow. Conclusion Disparity observed in the menstrual abnormalities among adolescents and adults could reflect hormonal changes. The association of obesity with menstrual abnormalities highlights the concern of weight management that can lead to healthy reproductive health in women.

Setting Ranges in Potential Biomarkers for Type 2 Diabetes Mellitus Patients Early Detection By Sex-An Approach with Machine Learning Algorithms.

Type 2 diabetes mellitus (T2DM) is one of the most common metabolic diseases in the world and poses a significant public health challenge. Early detection and management of this metabolic disorder is crucial to prevent complications and improve outcomes. This paper aims to find core differences in male and female markers to detect T2DM by their clinic and anthropometric features, seeking out ranges in potential biomarkers identified to provide useful information as a pre-diagnostic tool whie excluding glucose-related biomarkers using machine learning (ML) models. We used a dataset containing clinical and anthropometric variables from patients diagnosed with T2DM and patients without TD2M as control. We applied feature selection with three different techniques to identify relevant biomarker models: an improved recursive feature elimination (RFE) evaluating each set from all the features to one feature with the Akaike information criterion (AIC) to find optimal outputs; Least Absolute Shrinkage and Selection Operator (LASSO) with glmnet; and Genetic Algorithms (GA) with GALGO and forward selection (FS) applied to GALGO output. We then used these for comparison with the AIC to measure the performance of each technique and collect the optimal set of global features. Then, an implementation and comparison of five different ML models was carried out to identify the most accurate and interpretable one, considering the following models: logistic regression (LR), artificial neural network (ANN), support vector machine (SVM), k-nearest neighbors (KNN), and nearest centroid (Nearcent). The models were then combined in an ensemble to provide a more robust approximation. The results showed that potential biomarkers such as systolic blood pressure (SBP) and triglycerides are together significantly associated with T2DM. This approach also identified triglycerides, cholesterol, and diastolic blood pressure as biomarkers with differences between male and female actors that have not been previously reported in the literature. The most accurate ML model was selection with RFE and random forest (RF) as the estimator improved with the AIC, which achieved an accuracy of 0.8820. In conclusion, this study demonstrates the potential of ML models in identifying potential biomarkers for early detection of T2DM, excluding glucose-related biomarkers as well as differences between male and female anthropometric and clinic profiles. These findings may help to improve early detection and management of the T2DM by accounting for differences between male and female subjects in terms of anthropometric and clinic profiles, potentially reducing healthcare costs and improving personalized patient attention. Further research is needed to validate these potential biomarkers ranges in other populations and clinical settings.

Exploring the association between hypocretin-1 levels and bone mineral content in patients with narcolepsy: A cross-sectional study

IntroductionRecent studies suggest the existence of a physiologic basis for bone rarefaction and increased risk for fractures. This study aimed to address anthropometric differences between patients with narcolepsy type 1 (NT1) and type 2 (NT2) and discrepancies in bone mineral content (BMC) as a function of hypocretin-1 (Hcrt-1) measured in cerebrospinal fluid (CSF). MethodsWe have evaluated 31 adult patients (aged 18–65 years) with NT1 and 18 patients with NT2, comparing the groups in terms of anthropometric variables – body mass index (BMI) and waist-to-hip ratio (WHR) – and percentage of bone mineral content (%BMC), measured by bioelectrical impedance analysis (BIA). Statistical analysis assessed the effects of Hcrt-1 levels on CSF, dietary intake, and medication use over these variables. Statistical significance was achieved with a confidence interval of 95 % and p < 0.05. ResultsPatients with NT1 presented with higher BMI (32.04 ± 6.95 vs. 25.38 ± 4.26 kg/m2; p < 0.01) and WHR (0.89 ± 0.09 vs. 0.83 ± 0.09; p = 0.02) compared to NT2, in detriment of %BMC, which was lower for NT1 (4.1 ± 1.02 vs. 4.89 ± 0.59; p < 0.01). Hcrt-1 in CSF showed a positive correlation with %BMC (r = +0.48, p < 0.01) and a negative correlation with anthropometric features (BMI: r = −0.54, p < 0.01; WHR: r = −0.37, p = 0.01). There was a correlation between WHR and diary caloric intake (r = +0.42, p < 0.01). ConclusionThe evaluation of patients with narcolepsy presupposes a syndromic approach comprising symptoms that go far beyond excessive daytime sleepiness. The integrated follow-up, including nutritional profile and anthropometric features, should add value in reducing morbidity in this population.

Alpha angle and anterior femoral neck offset identify different cohorts of cam morphology: an osteologic study

PurposeThe purpose of this study was to explore differences in cam morphology defined by alpha angle and anterior femoral neck offset, in the context of other anthropometric parameters in an osteologic collection to further elucidate whether each measurement tool is identifying the same underlying pathology. MethodsAnthropometric measurements of 992 cadaveric hips from the Hamann-Todd Osteological Collection were analyzed. Femurs with cam morphology were identified by AA >55° or AFNO <7mm. Anthropometric parameters stratified by cam morphology were assessed with Wilcoxon rank-sum and Pearson’s chi-squared tests. Multivariate logistic regressions were performed on significant variables in univariate analysis to examine the predictive ability of anthropometric variables to cam morphology. ResultsCam morphology was identified in 242 hips via AA, 344 hips via AFNO, and 123 hips via both measures. Multivariate logarithmic regression analysis demonstrated that sex negatively predicted AA (females with less pathology, β= -0.14, p= 0.04), race negatively predicted AA (blacks with less pathology, β= -0.21, p<0.01), and proximal femoral osteoarthritis was positively associated with AA (β= 0.16, p= 0.02), while none of these were associated with AFNO. On the other hand, right side specimens were associated with AA (β= 0.15, p= 0.02) and AFNO (β= 0.25, p= <0.01), whereas combined version was unassociated with both measures. ConclusionIn conclusion, cam morphology was identified in a modest percentage of osteological specimens by both AA and AFNO in our study. Further, associations of multiple demographic, anthropometric and anatomical parameters to alpha angle and anterior femoral neck offset suggest they may identify different subsets of cam morphology.

The effect of dietary approaches to stop hypertension (DASH) diet on fatty liver and cardiovascular risk factors in subjects with metabolic syndrome: a randomized controlled trial

BackgroundMetabolic syndrome (MetS) as a multifactorial disorder is associated with non-communicable diseases. The dietary approaches to stop hypertension (DASH) diet is a healthy dietary pattern. We investigated the effect of the DASH diet on fatty liver and cardiovascular risk factors in subjects with MetS.Methods60 Subjects with MetS were assigned into the intervention group (DASH diet) or the control group (a healthy diet). Fatty liver index (FLI), hepatic steatosis index (HSI), waist circumference (WC), weight, body mass index (BMI), triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c) and high-density lipoprotein cholesterol (HDL-c) were evaluated at the beginning and after intervention. Equations of fatty liver indices such as FLI and HSI are based on liver enzymes, anthropometric variables, sex and having diabetes.Results30 subjects in the intervention group and 29 subjects in the control group completed the study. We found a significant reduction in the intervention group compared to the control group in FLI (-13.06 ± 10.03 vs. -2.90 ± 6.82;P < 0.001), HSI (-2.72 ± 2.59 vs. -0.81 ± 3.80;P = 0.02), WC (-6.02 ± 4.24 vs. -2.24 ± 4.28;P = 0.001), weight (-3.39 ± 2.53 vs. -1.51 ± 2.72;P = 0.008), BMI (-1.25 ± 0.93 vs. -0.56 ± 1.01;P = 0.008), DBP (-5.16 ± 3.92 vs. -1.50 ± 7.04;P = 0.01), SBP (-6.97 ± 8.21 vs. -1.36 ± 6.83;P = 0.006), TG (-18.50 ± 14.32 vs. 0.60 ± 23.81;P < 0.001), TC (-16.10 ± 17.94 vs. -5.07 ± 23.62;P = 0.04) and LDL-c (-13.50 ± 9.58 vs. -4.90 ± 18.28;P = 0.02). These results remained significant after adjusting for confounding factors, except for TC (P = 0.25).ConclusionsThe DASH diet was more effective than the control diet in managing fatty liver and cardiovascular risk factors.Trial registrationThe trial was registered on 21 October 2022 at Iranian Registry of Clinical Trials (IRCT20180201038585N12, URL: https://irct.behdasht.gov.ir/trial/66161).

MRI assessment of adipose tissue fatty acid composition in the UK Biobank and its association with diet and disease.

This study aimed to assess the fatty acid (FA) composition of abdominal subcutaneous and visceral adipose tissue (ASAT and VAT, respectively) in the UK Biobank imaging cohort (N = 33,823) using magnetic resonance imaging (MRI). We measured the fractions of saturated, monounsaturated, and polyunsaturated FA (fSFA, fMUFA, and fPUFA, respectively) in ASAT and VAT from multiecho MRI scans. We selected a subcohort of participants who followed a vegan and an omnivore diet (N = 36) to validate the effect of diet on adipose tissue. In the wider imaging cohort, we examined the relationships between adipose tissue FA composition and various traits related to disease and body size. We measured adipose tissue FA composition for over 33,000 participants, revealing higher fSFA and fPUFA and lower fMUFA in VAT (p < 0.00016). fMUFA and fPUFA were higher in ASAT and lower in VAT for women (p < 0.00016). Vegan participants exhibited lower fSFA in both ASAT and VAT (p < 0.00016). VAT fSFA and fMUFA showed significant associations with disease, as well as anthropometric variables. This extensive analysis revealed the relationships between adipose tissue FA composition and a range of factors in a diverse population, highlighting the importance of studying body adipose tissue beyond its quantity.

Anthropometrics and Mental Health Among People with and Without Type 2 Diabetes

Objectives: To investigate the relationships between anthropometric variables and the mental health of older people with type 2 diabetes compared to those without diabetes. Design: A case-control study. Setting(s): The study was conducted in Yazd, the capital city of the Yazd province in Iran. Participants: This study comprised 501 diabetic and 555 non-diabetic individuals recruited from the Yazd Health Study (YaHS). Outcome measures: The Depression Anxiety Stress Scales (DASS-21) questionnaire was used to assess mental health. The scale measured anthropometric indicators, including blood pressure, waist circumference, hip circumference, neck circumference, body fat, body muscle percentage, visceral fat, and body mass index (BMI). Results: The non-diabetic group exhibited better mental health (P≤0.01) compared to the diabetic group. Linear regression analysis indicated that, among demographic variables, gender in diabetic elderly was associated with mental health (P≤0.01), while gender, level of education, and marital status (P≤0.01) in non-diabetics were associated with mental health. Furthermore, among anthropometric factors, BMI and visceral fat (P≤0.01) in diabetics and visceral fat (P≤0.01) in non-diabetics were associated with mental health. The model obtained from liner regression based on demographic and anthropometric variables explained 6 to 13.3% and 8.8 to 15.4% of variance in mental health among diabetic (R2=0.086, P≤0.01) and non-diabetic (R2=0.162, P≤0.01) individuals, respectively. Conclusions: Gender, higher BMI, and visceral fat were associated with poor mental health among diabetic patients. The results of the present study can be used for designing appropriate interventions through different programs such as physical fitness programs.

Anthropometric and sociodemographic variables, but not preconception or prenatal maternal nutrition supplementation, predict neurodevelopment in offspring of the 'Women First'trial.

Multiple factors influence infant and child neurodevelopment in low resource settings. In offspring of participants in the preconception maternal nutrition trial, Women First(WF), we examined the impact of providing a preconception (Arm 1) or prenatal (Arm 2) nutrient supplement (compared to controls, Arm 3) on neurodevelopmental outcomes at 24 months; predictors of neurodevelopment scores; and associations of infant anthropometrics with neurodevelopmental scores. Follow-up visits for anthropometry were conducted at 6-, 12-, 18-and 24-monthof age. At 24-months, in a randomized subset,the Bayley Scales of Infant Development, 3rdedition (BSID-III), including cognitive, motorand social-emotional subscales,and the Family Care Indicators (FCI) questionnaire, assessing family and home environment, were completed. Multiple covariates (intervention arm, site, maternal sociodemographic characteristics, FCI subscales, birthweightand 6-24 months'change in anthropometry z-scores, (e.g., ΔLAZ6-2 4) were evaluated by linear regression to predict BSID-III outcomes and to assess associations of anthropometric changes with BSID-III scores. The analysis consisted of 1386 infants (n = 441, 486, 459 for Arms 1, 2and 3, respectively). None of the domain-specific BSID-III subscale scores differed by maternal intervention arm. Four covariates significantly predicted (p ≤ 0.01) all 3 BSID-III subscales: secondary maternal education, ΔLAZ6 - 24, birthweight >2500 g, and FCI play materials. Linear growth was associated with all domains of neurodevelopment. The results underscore the multi-dimensional aspects of child development represented by the nurturing care framework, including prenatal maternal nutrition, post-natal growth, maternal education for responsive caregivingand opportunities for early learning.

Academic achievement and healthy lifestyle habits in primary school children: an interventional study.

First, to examine the relationship between primary school children's academic achievement and healthy lifestyle habits. Second, to evaluate the effectiveness of two different 5-month physical education interventions (traditional physical education vs. coordinative physical education) on children's academic achievement. Third, to examine whether variations of anthropometric variables, fitness level, gross motor coordination, physical activity level, sedentary time, attentional performance, fruit and vegetable consumption, meal frequency and type of physical education intervention could predict children's academic achievement variations. Before and after the intervention, Italian language and mathematics skills, anthropometric variables (weight, height, body fat percentage, BMI), physical fitness (aerobic fitness, muscular strength, flexibility), gross motor coordination, attentional performance (processing speed, concentration performance, performance accuracy, attentional and inhibitory control), physical activity level, sedentary time and eating habits (meal frequency, fruit and vegetable consumption) were assessed in 161 Italian primary school children, randomly assigned to a traditional physical education group or to a coordinative physical education group. Physical activity level, gross motor coordination and aerobic fitness moderately predicted mathematics skill (R2 = 17%). Moreover, physical activity level, aerobic fitness and muscular strength moderately predicted Italian language skill (R2 = 21%). Intervention type differently affected academic achievement. Specifically, Italian language and mathematics skills significantly improved only after traditional intervention. Fruit consumption increase was positively associated with the improvement in academic achievement. Coordinative physical education intervention was associated with a lower probability of improvement in Italian language and mathematical skills. Motor ability and lifestyle habits may have a positive influence on academic achievement in children. Unexpectedly, traditional physical education intervention resulted to be more effective on both Italian language and mathematical skills.