Quartile Of Body Mass Index Research Articles

The Impact of Obesity on Pain Perception During and After Subcutaneous Injections: A Cross-Sectional Analysis

(1) Background: The administration of subcutaneous (SC) injectables is among the most frequent procedures a nurse performs in daily practice. The needle for the injection must pass through the skin barrier to reach the SC space, where the drug will be deposited. This procedure can cause pain to the patient and local lesions. Local fat measurement can be performed by measuring the skin fold. Previous studies have found higher levels of pain in people with obesity receiving SC insulin, and this study thus aimed to measure pain levels during and after an SC injection of low-molecular-weight heparin (LMWH) and identify how age, gender, and obesity may modulate the level of pain during and after the procedure. (2) Methods: This was a cross-sectional study, and the variables included age, gender, body mass index (BMI), BMI quartile, abdominal skin folds (ASFs), ASF quartile, and pain level during and after injection. A caliper was used to measure ASFs, height and weight were used to calculate BMI, and the Visual Analog Scale (VAS) was used to measure pain. (3) Results: The sample amounted to 202 participants, which was not considered representative of the study population. The average age was 64.3 years, and females predominated (62.40%). Of these participants, 42.5% were obese, and 29.1% were overweight. The average pain levels were low during (1.4) and after injection (1.9), highlighting the absence of pain during injection in 29.7% and after injection in 34.2%. (4) Conclusions: Obesity was associated with increased pain, but when adjusted for age, the pain was no longer significant. Females and young participants showed a significant relationship with pain during injection. Age, gender, and obesity had a statistically significant relationship with pain level. Participants with obesity (according to BMI and ASF) showed the highest levels of pain during and after injection. After injection, there was an increase in pain in most cases, possibly due to the discomfort caused by the drug itself, an aspect considered in the drug’s technical data sheet as a frequent adverse effect (>1/10 to <1/100). However, the drug volume does not seem to be related to pain in this study.

Association of body indices with mortality in older population: Japan Specific Health Checkups (J-SHC) Study.

Obesity indices reflect not only fat mass but also muscle mass and nutritional status in older people. Therefore, they may not accurately reflect prognosis. This study aimed to investigate associations between a body shape index (ABSI), body mass index (BMI), and mortality in the general older population. This nationwide observational longitudinal study included individuals aged between 65 and 74 years who underwent annual health checkups between 2008 and 2014. Exposures of interest were ABSI and BMI, and the primary outcome was all-cause mortality. Association between the ABSI and BMI quartile (Q1-4) and mortality was assessed using Cox regression analysis. A restricted cubic spline was also used to investigate nonlinear associations. The missing values were imputed using multiple imputation by chained equations. Among 315,215 participants, 5074 died during a median follow-up period of 42.5 (interquartile range: 26.2-59.3) months. Compared with ABSI Q1, ABSI Q3 and Q4 were associated with increased risk of mortality, with the adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) of 1.13 (1.05-1.22) and 1.23 (1.13-1.35), respectively. Compared with BMI Q3, BMI Q1 and Q2 were associated with an increased risk of mortality, with aHRs and 95% CIs of 1.51 (1.39-1.65) and 1.12 (1.03-1.22), respectively. The impacts of these indices were greater in male than in female. The heatmap of the aHR for mortality by continuous ABSI and BMI showed that higher ABSI was consistently associated with higher mortality risk regardless of BMI, and that the combination of low BMI and high ABSI was strongly associated with increased mortality risk. High ABSI and low BMI are additively associated with the risk of all-cause mortality in the general older population in Japan. Combination of ABSI and BMI is useful for evaluating mortality risk in older people.

Body Mass Index and Diabetes Incidence Across the Adult Lifespan: The Baltimore Longitudinal Study of Aging.

Body composition and glucose metabolism change with aging. Whether different levels of body-mass-index (BMI) are needed to define diabetes risk across the adult lifespan is unknown. This work aimed to investigate whether BMI similarly reflects relative fat mass (FM) and diabetes risk across age groups. Participants without diabetes from the Baltimore Longitudinal Study of Aging (973 men, 1073 women), stratified by age (<50, 50-59, 60-69, ≥70 years) and categorized by either World Health Organization (WHO)-defined BMI categories (for normal weight, overweight or obesity) or BMI quartiles. The primary exposure was BMI. The primary outcome was diabetes incidence. The relationship of BMI to dual-energy x-ray absorptiometry-derived FM was also investigated in older vs younger participants. The median (range) follow-up time was 7.1 years (range, 0-29.0 years). Within WHO-defined BMI categories, different age groups demonstrated significantly different FM percentage, FM/lean mass, and waist circumference (P < .05). WHO-defined BMI categories for overweight and obesity were generally related to higher diabetes risk compared to normal weight in all ages except 50 to 59 years. When BMI was categorized by quartiles, diabetes incidence increased dramatically beginning in quartile 2 (23-25 kg/m2) in older groups. BMI cutoffs with equivalent diabetes incidence rate as BMI 25 kg/m2 and 30.0 kg/m2 in individuals younger than 50 years were 22.7 kg/m2 and 25.2 kg/m2 for ages 50 to 59 years; 22.8 kg/m2 and 25.0 kg/m2 for ages 60 to 69 years; and 23.2 kg/m2 and 25.8 kg/m2 for ages 70 years and older, respectively. WHO-defined BMI categories do not reflect similar diabetes risk across the lifespan. Diabetes incidence is greater at lower levels of BMI in older adults and may lead to underestimation of diabetes risk with aging, particularly among those traditionally classified as normal-weight individuals.

The association between body mass index and bone mineral density in older adults: a cross-sectional study of community population in Beijing

BackgroundOlder subjects have a higher risk for vertebral compression fracture. Maintaining a higher bone mineral density (BMD) at this age can protect individuals from osteoporosis-related events. Body mass index (BMI) has been found to have a robust association with BMD. However, excessive BMI is detrimental to bone health and may cause systemic disorders. Therefore, the present study aimed to determine the association between BMI and BMD, and identify a reasonable BMI range.MethodsA total of 961 participants were recruited from community-dwelling residents between August 2021 and May 2022. A weighted multivariate linear regression model was applied to identify the relationship between BMI and BMD. Meanwhile, subgroup stratified analysis by BMI quartile and gender was also performed. A non-linear relationship and threshold value were determined based on the smooth curve fittings and threshold effects analysis model.ResultsA robust relationship was found between BMI and BMD, which remained significant in subgroups stratified by gender and BMI quartile. The BMI inflection point values in lumbar BMD and femoral neck BMD were 25.2 kg/m2 and 27.3 kg/m2, respectively. For individuals with BMI < 25.2 kg/m2, an increase in BMI was related to an increase in lumbar BMD. For BMI > 25.2 kg/m2, an increase in BMI was associated with a decrease in lumbar BMD. For subjects with BMI < 27.3 kg/m2, the femoral neck BMD rose by 0.008 kg/m2 for each unit rise in BMI. However, when BMI exceeded 27.3 kg/m2, the femoral neck BMD increased only by 0.005 kg/m2. Fracture risk assessment based on the spinal deformity index (SDI) failed to determine the optimal BMI range.ConclusionsThis study found an inflection point between BMI and lumbar/ femoral neck BMD in older community-dwelling subjects. An appropriate BMI but not an excessive BMI may allow older adults to have a better BMD.

Association between Body Mass Index or Serum Albumin and Different Dementia Populations

Introduction: There is limited understanding of body mass index (BMI) and serum albumin levels in patients with dementia. This study aimed to investigate the association between BMI, serum albumin levels, and dementia in patients with Alzheimer’s disease (AD), dementia with Lewy bodies (DLB), and Parkinson’s disease with dementia (PDD). Methods: A total of 336 patients with dementia (173 with AD, 112 with DLB, 51 with PDD) and 220 healthy controls were recruited. Pearson and Spearman correlation analyses were performed to examine the relationships between BMI or serum albumin and MMSE scores, as well as neuropathological markers. Logistic regression models were used to analyze the data, adjusting for confounding variables. Results: Using the highest BMI quartile (≥26.04 kg/m2) and serum albumin quartile (≥41.21 g/L) as reference groups, the lowest BMI quartile (<21.91 kg/m2) was significantly associated with AD (p < 0.001) and DLB (p = 0.003). The lowest serum albumin quartile (≤37.60 g/L) was independently associated with DLB (p < 0.001) and AD (p = 0.006). In AD patients, BMI was associated with Aβ1–42 and p-Tau181 in cerebrospinal fluid after controlling for confounders, while serum albumin was correlated with T-Tau and T-tau/Aβ1–42 (p < 0.05). Conclusion: Decreased serum albumin and BMI levels are associated with DLB and AD in dementia patients. Although no correlation was found between BMI or serum albumin and MMSE scores, there was a significant association with AD cerebrospinal fluid pathologic markers.

Body mass index and long-term survival following acute pulmonary embolism: insights from machine learning models

Abstract Funding Acknowledgements None. Introduction Body mass index (BMI) has been associated with long-term survival in the setting of acute pulmonary embolism (PE) [1,2]. The non-linear pattern of this association proves to be challenging for frequentist statistical analyses. Contemporary machine learning models offer superior handling capabilities of datasets with non-linear data distributions. Purpose To examine the predictive power of BMI expressed as a continuous variable in a dataset of patients with pulmonary embolism (PE) using the extreme gradient boosting (XGBoost) machine learning framework. Methods All consecutive patients with confirmed PE admitted to the two tertiary teaching Clinical Hospitals in the metropolitan area from November 2013 until November 2018 were included in the study. The diagnosis was established by multislice computed tomography angiography. Machine learning models were investigated using the LightGBM variant of XGBoost. We allocated 80% of the dataset for model training and the remaining 20% for testing. Two models were tested: (1) a model with 20 variables tailored according to the Cox proportional hazards model in the initial publication; (2) a model with 11 independent predictors of outcome. Results The study population is described in detail in previous publications [1,2]. In brief, a total of 761 patients were included in the study. The population was predominantly female (57.4%), aged 73 (61-81). The median overall follow-up was 675 days (114-1331). There were 335 (44.0%) cases of death recorded at follow-up. A Cox proportional hazards model with 19 covariates significantly predicted death during follow-up (χ2 = 595.5, p&amp;lt;0.001). The first BMI quartile was an independent predictor of death (hazard ratio 1.66, 95% confidence interval 1.31-2.10). However, when expressed as a continuous variable, BMI failed to enter the model. In both XGBoost models, BMI expressed as a continuous variable proved to be a feature with high predictive power, second only to pulmonary embolism severity index score (Figure 1 and 2). The models showed high accuracy, with an area under curve of 0.840 and 0.864 respectively. Conclusion In the XGBoost analysis, a machine learning framework with superior handling of non-linear data, BMI expressed as a continuous variable emerged as the second strongest predictor of outcome among 761 PE patients.Figure 1Figure 2

Abstract PO5-09-01: Relative low body mass index (BMI) and fat quantity predicts prognosis better than absolute BMI in hormone receptor-positive, HER2-negative breast cancer

Abstract Purpose: Most existing research about obesity and prognosis in breast cancer patients primarily compares obese and non-obese individuals according to standard body mass index (BMI) categories. With a notably high percentage of Asian patients presenting with young age onset and normal weight, the prevalence of overweight and obesity based on absolute BMI values is lower in Asia (according to WHO guideline, BMI under 18.5 means underweight, and BMI over 25 means overweight). Understanding the impact of relatively low and high weight on prognosis can provide more insightful data than assessments based on absolute BMI thresholds. This study aimed to investigate the impact of relative low/high BMI on the prognosis of breast cancer and to explore the influence of body fat quantity (FQ), which is closely related to BMI. Methods: The study population consisted of 3,663 patients who received surgery for primary breast cancer at Seoul National University Hospital from 2006 to 2015. Pre-treatment BMI was divided into quartiles, defining low-BMI (Q1) as ≤ 21.33, high-BMI (Q4) as &amp;gt; 25.53, and mid-BMI as values between the two. Fat quantity (FQ) was derived from chest CT using the deep learning-based FDA-approved DeepCatch software. It measures the fat volume at the L1 level then divides this value by the square of the patient's height. It was then also divided into quartiles, establishing the definitions of low-, mid-, and high-FQ. The associations of BMI and FQ with distant metastasis-free survival (DMFS) and overall survival (OS) were examined. Results: The high-BMI group demonstrated older median age and higher T and N stages (p&amp;lt; 0.001). The high- and low-BMI groups also showed a higher prevalence of estrogen receptor positive cancer compared to the mid-BMI group. A strong correlation (Pearson correlation coefficient 0.83) was observed between BMI and FQ. In HR-positive, HER2-negative breast cancer, high-BMI patients had a 1.55 times higher risk of distant metastasis (95% CI: 1.15-2.11, p = 0.005), and a 1.78 times higher risk of mortality (95% CI: 1.22-2.58, p = 0.003) compared to mid-BMI patients, while low-BMI patients demonstrated better outcomes regarding DMFS (HR 0.67, p=0.035) and OS (HR 0.59, p=0.04). Comparison of FQ with prognosis revealed that the low-FQ patients exhibited better DMFS (HR 0.59, p=0.005) and OS (HR = 0.44, p=0.002) compared to mid-FQ patients in HR-positive, HER2-negative breast cancer. However, when adjusted for T and N stages, low-BMI patients in the HR-positive, HER2-negative group showed no difference in prognosis from mid-BMI patients but better prognosis compared to high-BMI patients. In contrast, when defined using absolute BMI, underweight patients did not show a difference in DMFS (HR 0.72 vs. normal BMI, p = 0.515) and OS (HR 0.91 vs. normal BMI, p = 0.87) compared to those with normal weight and overweight. The low-FQ group had the best prognosis regarding DMFS (HR 0.66 vs. mid-FQ, p=0.032) and OS (HR 0.50 vs. mid-FQ, p=0.008). Conclusions: Low-BMI is a favorable prognostic factor compared to high-BMI for DMFS and OS in HR-positive, HER2-negative breast cancer. The relative BMI defined according to BMI quartiles was a better prognostic factor than to absolute BMI standards. Investigations with FQ showed similar tendencies, suggesting that low BMI's favorable prognostic influence may be associated with fat. Future investigations should aim to validate these results and delve deeper into the underlying mechanisms. Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Soon Ho Yoon work as chief medical officer in MEDICALIP. This author did not involve data/statistical analysis. Other authors have no competing interest to declare. Citation Format: Eunhye Kang, Ji-Jung Jung, Ik Beom Shin, Hawjeong Lee, Jin Young Byeon, Changjin Lim, Hong-Kyu Kim, Hyeong-Gon Moon, Wonshik Han, Jong-Ho Cheun, Soon Ho Yoon, Han-Byoel Lee. Relative low body mass index (BMI) and fat quantity predicts prognosis better than absolute BMI in hormone receptor-positive, HER2-negative breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-09-01.

Association of excess visceral fat and severe illness in hospitalized COVID-19 patients in Japan: a retrospective cohort study.

Obesity, defined by body mass index (BMI), is a well-known risk factor for the severity of coronavirus disease 2019 (COVID-19). Adipose tissue distribution has also been implicated as an important factor in the body's response to infection, and excess visceral fat (VF), which is prevalent in Japanese, may contribute significantly to the severity. Therefore, this study aimed to evaluate the association of obesity and VF with COVID-19 severe illness in Japan. This retrospective cohort study involved 550 COVID-19 patients admitted to a tertiary care hospital with BMI and body composition data, including VF. The primary endpoint was severe illness, including death, due to COVID-19 during hospitalization. Logistic regression analysis was applied to examine the quartiles of BMI and VF on severe illness after adjusting for covariates such as age, sex, subcutaneous fat, paraspinal muscle radiodensity, and comorbidities affecting VF (COPD, cancer within 5 years, immunosuppressive agent use). The median age was 56.0 years; 71.8% were males. During hospitalization, 82 (14.9%) experienced COVID-19 severe illness. In the multivariate logistic regression analysis, Q4 of BMI was not significantly associated with severe illness compared to Q1 of BMI (OR 1.03; 95% CI 0.37-2.86; p = 0.95). Conversely, Q3 and Q4 of VF showed a higher risk for severe illness compared to Q1 of VF (OR 2.68; 95% CI 1.01-7.11; p = 0.04, OR 3.66; 95% CI 1.30-10.26; p = 0.01, respectively). Stratified analysis by BMI and adjusted for covariates showed the positive association of VF with severe illness only in the BMI < 25 kg/m2 group. High BMI was not an independent risk factor for COVID-19 severe illness in hospitalized patients in Japan, whereas excess VF significantly influenced severe illness, especially in patients with a BMI < 25 kg/m2.

Hemodynamic profile of obesity in cardiogenic shock

Abstract Background There is a growing understanding that cardiogenic shock (CS) is a hemodynamically heterogenous condition. Hemodynamic variants within this entity are not well studied but, if recognize, may help to optimize therapies. Purpose We explored hemodynamics in patients with CS based on their body mass index (BMI). Methods The Cardiogenic Shock Working Group (CSWG) registry includes patients with CS, regardless of etiology, from 17 clinical sites across the USA. We stratified the participants into BMI quartiles (BMI≤24.4 kg/m2, 24.433.1 kg/m2), and studied the hemodynamic variables in CS depending on body mass index (BMI). Results The total cohort consisted of 3,492 patients admitted with CS (mean age 62.1±14 years, 69% male), including 2,024 (58.0%) of CS related to advanced heart failure (HF-CS) and 969 (27.8%) acute myocardial infarction (AMI) related CS. IN HF-CS, more obese patients in higher BMI quartile had larger left ventricle, higher ejection fraction, and greater cardiac output (Table). Their systolic blood pressure was higher, and pulmonary artery pressure was lower than in lower BMI quartiles. Their pulmonary artery pulsatility index decreased from 2.2±1.4 in the second quartile to 1.6±1.3 in the forth (highest) quartile. Mortality in creased with the BMI increase, from 23.3% in the lowest BMI quartile to 30% in the highest BMI quartile, p=0.0128. In AMI-CS, there was no distinct hemodynamic profile related to obesity. Conclusions In cardiogenic shock related to heart failure, unlike in AMI-related cardiogenic shock, there is a distinct hemodynamic pattern of obesity, consistent with larger left ventricle, higher ejection fraction, higher cardiac output and systemic pressure, higher right atrial pressure, and lower pulmonary artery pulsatility index. In this subset, obesity is associated with the highest in-hospital mortality.

Obesity and outcomes in cardiogenic shock due to acute myocardial infarction

Abstract Background Obesity paradox in heart failure (HF) is defined as better outcomes associated with higher body mass index (BMI). Purpose We explored the relationship between BMI and outcomes in cardiogenic shock (CS) due to acute myocardial infarction. Methods The Cardiogenic Shock Working Group (CSWG) registry includes patients with CS, regardless of etiology, from 17 clinical sites across the USA. In- hospital mortality, as a main outcome measure, was analyzed depending on BMI as a continuous variable, as well as BMI quartiles (BMI≤24.4 kg/m2, 24.433.1 kg/m2) for the subset of CS due to acute myocardial infarction (AMI-CS). We also explored mortality in categorized BMI subsets (underweight, normal weight, overweight, obese, and morbidly obese). Results A total of 969 patients with AMI-CS were included. The in-hospital mortality was 42.4%. When analyzed as a continuous variable, BMI had no association with survival to discharge. When the cohort was divided into quartiles according to BMI, mortality was consistent with 42.2%, 38.5%, 39.5%, and 49.3%, respectively, p=0.082. In categorized subsets, mortality was 30% in the underweight, 42.9% in the normal weight, 37.4% in the overweight, 44.5.% in the obese, and 47.9% in morbidly obese, p=0.15. Conclusions In acute myocardial infarction-related cardiogenic shock, obesity creates no survival advantage.

Iron Levels and Markers of Inflammation in a Population of Adults with Severe Obesity, a Cross-Sectional Study

Low-grade chronic inflammation linked to obesity can lead to alterations in biomarkers of iron status. The aim of this study was to investigate the primary determinant of serum iron levels among anthropometric measurements, body fat, and serum biomarkers of low-grade chronic inflammation in a group of adult individuals with severe obesity. We enrolled 114 individuals (84 females; 30 males) aged 40.96 ± 12.54 years. Weight and body mass index (BMI) were 121.20 ± 22.33 kg and 44.94 ± 7.29 kg/m2, respectively. Some 30% of individuals had class-II obesity (BMI ≥ 35 ≤ 39.9 kg/m2) and 70% had class-III obesity (BMI ≥ 40 kg/m2). A weak, albeit significant, inverse correlation was found between serum iron levels and c-reactive protein (CRP) (r = −0.259, p = 0.008), fibrinogen (r = −0.261, p = 0.006), BMI (r = −0.186, p = 0.04), waist circumference (WC) (r = −0.265, p = 0.004), and fat mass % (r = −0.285, p = 0.003). With multiple linear regression analysis including CRP, fibrinogen, BMI, WC, and fat mass % as independent variables and serum iron levels as dependent variable, WC was entered in the first step (p = 0.001), which was followed by fat mass % (p = 0.047) and CRP (p = 0.047). Grouping the individuals according to the interquartile range of BMI, WC, and fat mass % (Q1–Q4), the lowest serum iron levels were found in Q4 groups of WC and fat mass % (p = 0.02), while no significant differences were found between groups in BMI quartiles. In conclusion, in our study, population serum iron levels were inversely associated with BMI, visceral obesity, fat mass %, CRP, and fibrinogen, but WC was the major negative predictor of serum iron level. These results supported the fact that visceral distribution of body fat, more than obesity per se, was associated with low serum iron levels in adult individuals with severe obesity.

Association between body stature and prevalence of reduced visual acuity in high school graduates in Hangzhou, China

ABSTRACT Clinical relevance The association between myopia and body stature is of great significance for understanding prevention and control of myopia. It has been extensively studied in previous studies but without consistent conclusions. Background The aim of this study is to investigate the association between body stature and prevalence of reduced visual acuity in high school graduates in Hangzhou, China. Methods 50,620 high school graduates who finished the physical examination of the national college entrance examination in 2020 were included. Data were derived from the database of physical examination of the national college entrance examination. Height and weight were measured, and body mass index (BMI) was calculated according to the general formula. Visual acuity was measured by the standard logarithmic visual acuity chart. Results The prevalence of reduced visual acuity was 90.38% in high school graduates. Girls had a higher prevalence of reduced visual acuity than boys (93.07% vs 87.60%, P < 0.001). Boys with normal visual acuity were significantly taller (P < 0.001) and heavier (P < 0.001) than those with reduced visual acuity. Girls with normal visual acuity were significantly taller than those with reduced visual acuity (P < 0.001). The prevalence of reduced visual acuity was significantly inversely associated with height in both boys (P < 0.001) and girls (P < 0.001). The risk of reduced visual acuity was the lowest in the fourth quartile of height. The prevalence of reduced visual acuity was significantly associated with BMI only in boys (P < 0.001). The risk of reduced visual acuity was the lowest in the third quartile of BMI. Conclusions The prevalence of reduced visual acuity was inversely associated with height in both boys and girls, and there was a U-shaped association with BMI only in boys.

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

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

Similarities and discrepancies between commercially available bioelectrical impedance analysis system and dual-energy X-ray absorptiometry for body composition assessment in 10–14-year-old children

A variety of easy-to-use commercial bioelectrical impedance appliances are available. The aim of this study was to examine the usefulness of a commercially available body composition meter using bioelectrical impedance analysis (BIA) by comparing its measurement results with those obtained from dual-energy X-ray absorptiometry (DXA). The participants were 443 children aged from 10 to 14 years (226 boys and 217 girls). Fat mass, fat-free mass, lean body mass, percentage of body fat, and bone mineral contents were evaluated for all participants using BIA and DXA. The agreement in the anthropometric data obtained from both devices was analyzed using correlation analysis, intraclass correlation coefficient (ICC), Lin’s concordance correlation coefficient (CCC), Bland–Altman plots, and ordinary least products regression analysis. Equivalence between both devices was tested by two one-sided t-test. All measured indicators showed strong linear correlations between the two measurement systems (r, 0.853–1.000). Fat mass, fat-free mass, and lean body mass showed absolute concordance (ICC, 0.902–0.972; Lin’s CCC, 0.902–0.972). BIA overestimated bone mineral content (62.7–66.5%) and underestimated percentage of body fat (− 8.9 to − 0.8%), lean body mass (− 3.5 to − 1.8%), and body mass (− 0.8 to − 0.5%). For fat mass and fat-free mass, the overestimate or underestimate varied according to the sex and statistical analysis test. Bland–Altman analysis and ordinary least products analysis showed fixed bias and proportional bias in all indicators. Results according to quartiles of body mass index showed poor agreement for fat mass and percentage of body fat in both boys and girls in the lowest body mass index quartile. The present results revealed strong linear correlations between BIA and DXA, which confirmed the validity of the present single-frequency BIA-derived parameters. Our results suggest that BIA cannot provide the exact same values as DXA for some body composition parameters, but that performance is sufficient for longitudinal use within an individual for daily health management and monitoring.

Association of waist-calf circumference ratio, waist circumference, calf circumference, and body mass index with all-cause and cause-specific mortality in older adults: a cohort study

BackgroundWaist circumference (WC), calf circumference (CC), and body mass index (BMI) have been independently linked to mortality. However, it's not yet clear how the waist-calf circumference ratio (WCR) relates to mortality. This study aims to investigate the relationship between WCR, WC, CC, and BMI with all-cause and cause-specific mortality in older adults.MethodsIn the 2014 Chinese Longitudinal Healthy Longevity Survey, 4627 participants aged 65 years and older were included, and they were subsequently followed up in 2018. Cox proportional hazards models were utilized to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cause-specific mortality, based on WCR, WC, CC, and BMI.ResultsDuring a median follow-up of 3.4 years, 1671 deaths (36.1%) occurred. Compared to the second quartile of WCR, the highest quartile had a higher risk of mortality from all causes (HR 1.42, 95%CI 1.24–1.64), cardiovascular disease (CVD) (HR 1.88, 95%CI 1.38–2.56), and other causes (HR 1.37, 95%CI 1.15–1.63). The first and fourth quartiles of WC had HRs of 2.19 (1.00–4.79) and 2.69 (1.23–5.89), respectively, for cancer mortality. The highest quartile of CC was associated with a lower risk of all-cause and other-cause mortality, whereas the lowest quartile was associated with a higher risk of all-cause, CVD, and other-cause mortality compared to the second CC quartile. Additionally, the lowest quartile of BMI was associated with a higher risk of all-cause and respiratory disease mortality. Interaction analyses showed that the effects of CC on all-cause and CVD mortality were more pronounced in adults aged ≥ 80 years (P-interaction < .05).ConclusionsHigher WCR and lower CC increased the risk of all-cause, CVD, and other-cause mortality. Lower BMI was associated with higher all-cause and respiratory disease mortality risk, while WC only predicted cancer mortality.

U-shaped associations between glycated albumin and obesity and role of IL-10 in hyperacute ischemic stroke

ObjectiveThere is growing interest in the use of new biomarkers such as glycated albumin (GA). In contrast to glycated hemoglobin (HbA1c), GA showed an inverse correlation with prestroke obesity status, but data are limited for ischemic stroke (IS). Materials and MethodsWe explored the association between GA and body mass index (BMI) and investigated inflammatory cytokines to support the academic background. In total, 155 patients with hyperacute IS (HIS) between 2011 and 2019 were included. To identify the association between GA and BMI, patients were divided into four groups according to BMI quartiles. Levels of inflammatory cytokines, including IL-1β, IL-10, IL-6, TNF-α, and TNF-R1, were determined by ELISA using a ProcartaPlex multiplex immunoassay. ResultsThe mean age of the 155 patients was 68 ± 12 years, and 67.1% were men. The lowest BMI group had higher GA levels (GA 2 T and 3 T = 80%) (p-value=0.017), and these U-shaped associations were maintained only for small vessel occlusion etiology (p-value= 0.004). Plasma IL-10 levels were positively correlated with BMI and showed a U-shaped pattern (p-value= 0.001). ConclusionGA levels and BMI had U-shaped associations with HIS. IL-10, which acts as a protective cytokine for cardiovascular disease, may play a novel role in this association. Although GA is an emerging favorable clinical marker of cardiovascular outcomes, obesity status should be considered when interpreting these associations.

Maternal stress and early childhood BMI among US children from the Environmental influences on Child Health Outcomes (ECHO) program.

We aimed to understand the association between maternal stress in the first year of life and childhood body mass index (BMI) from 2 to 4 years of age in a large, prospective United States-based consortium of cohorts. We used data from the Environmental influences on Child Health Outcomes program. The main exposure was maternal stress in the first year of life measured with the Perceived Stress Scale (PSS). The main outcome was the first childhood BMI percentile after age 2 until age 4 years. We used an adjusted linear mixed effects model to examine associations between BMI and PSS quartile. The mean BMI percentile in children was 59.8 (SD 30) measured at 3.0 years (SD 1) on average. In both crude models and models adjusted for maternal BMI, age, race, ethnicity, infant birthweight, and health insurance status, no linear associations were observed between maternal stress and child BMI. Among 1694 maternal-infant dyads, we found no statistically significant relationships between maternal perceived stress in the first year of life and child BMI after 2 through 4 years. Although existing literature suggests relationships between parental stress and childhood BMI, we found no linear associations between maternal stress in the first year of life and childhood BMI at 2-4 years of age among participants in ECHO cohorts. Higher maternal stress was significantly associated with Hispanic ethnicity, Black race, and public health insurance. Our analysis of a large, nationally representative sample challenges assumptions that maternal stress in the first year of life, as measured by a widely used scale, is associated with offspring BMI.

Adipose Tissue Distribution and Body Mass Index (BMI) Correlation With Daily Image-Guided Radiotherapy (IGRT) Shifts of Abdominal Radiation Therapy Patients.

Purpose There are several studies suggesting a correlation between image-guided radiotherapy (IGRT) setup errors and body mass index (BMI). However, abdominal fat content has visceral and subcutaneous components, which may affect setup errors differently. This study aims to analyze a potential workflow for characterizing adipose content and distribution in the region of the target that would allow a quickly calculated metric of abdominal fat content to stratify these patients. Methods IGRT shift data was retrospectively tabulated from daily fan-beam CT-on-rails pre-treatment alignment for 50 abdominal radiation therapy (RT) patients, and systematic and random errors in the daily setup were characterized by tabulating average and standard deviations of shift data for each patient and looking at differences for different distributions of adipose content. Visceral and subcutaneous fat content were defined by visceral fat area (VFA) and subcutaneous fat area (SFA) using a region-growing algorithm to contour adipose tissue on CT simulation scans. All contours were created for a single slice at the treatment isocenter, on which the VFA and SFA were calculated. A log-rank test was used to test trends in shifts over quartiles of adiposity. Results VFA ranged from 1.9-342.8c m2, and SFA from 11.8-756.0 cm2. The standard definition (SD) of random error (σ) in the lateral axis for Q1 vs. Q4 VFA was 0.10cm vs. 0.29cm, 0.12cm vs. 0.28cm for SFA, and 0.12cm vs. 0.31cm for BMI. The percentage of longitudinal shifts greater than 10mm for Q1 vs. Q4 VFA was 0% vs. 9%, 2% vs. 19% for SFA, and 0% vs. 20% for BMI. Statistically significant trends in shifts vs. the BMI quartile were seen for both pitch and the longitudinal direction, as well as for pitch corrections vs. the VFA quartile. Conclusion Within this dataset, abdominal cancer patients showed statistically significant trends in shift probability vs. BMI and VFA. Also, patients in the upper quartiles of all adiposity metrics showed an increased SD of σ in the lateral direction and increased shifts over 10 mm in the longitudinal direction. However, despite these relationships, neither VFA nor SFA offered discernible advantages in their relationship to shift uncertainty relative to BMI.

TOP8: Pharmacological and Mechanical Circulatory Support in Cardiogenic Shock: Does Obesity Put the Patients at Disadvantage?

Background: In cardiogenic shock (CS), the hemodynamic profile of obesity and requirement for hemodynamic support based on body mass index (BMI) is not well studied. We aimed to explore the hemodynamic characteristics and vasopressor/inotrope/mechanical circulatory support (MCS) requirements across the BMI spectrum. Methods: The Cardiogenic Shock Working Group (CSWG) registry includes patients with CS from 17 clinical sites across the USA. We stratified the participants into BMI quartiles, from 1 to 4, as follows: BMI≤24.4 kg/m2, 24.4<BMI≤28.3 kg/m2, 28.3<BMI≤33.1 kg/m2, and BMI>33.1 kg/m2. We then compared hemodynamic variables and utilization of vasopressors/inotropes and MCS across the strata. Results: A total of the 3,492 patients with known BMI were included. While the heart rate was similar across the quartiles, both systemic blood pressure and filling cardiac pressures increased from lower to higher BMI quartiles. Cardiac output also increased, cardiac index did not change, and pulmonary artery pulsatility index (PAPI) decreased as the BMI was increasing (Table). The requirements in pharmacological hemodynamic support was also higher in obese individual. The proportion of patients, requiring two and more vasopressor/inotropic agents, increased from 12.1% in the lowest quartile to 19.1% in the highest quartile, p<0.0001. At the same time, device utilization, including intraaortic balloon pump, Impella, and venoarterial extracorporeal membrane oxygenation (VA ECMO), and the combination of the above, remained similar across the subsets. Conclusions: In cardiogenic shock, the hemodynamic profile differs based on BMI. Obese patients have highest systolic and mean blood pressure, cardiac output, pulmonary arterial pressure, and filling pressures. At the same time, they demonstrate the lowest pulmonary artery pulsatility index. More obese individuals have higher requirements in pharmacological support (Vasopressors/inotropes). The use of MCS is similar across the BMI quartiles.

Body mass index affecting ticagrelor monotherapy vs. ticagrelor with aspirin in patients with acute coronary syndrome: A pre-specified sub-analysis of the TICO randomized trial.

Although ticagrelor monotherapy after 3-month dual antiplatelet therapy (DAPT) results in a significantly greater net clinical benefit over that with ticagrelor-based 12-month DAPT in patients with acute coronary syndrome (ACS), it remains uncertain whether this effect is dependent on body mass index (BMI). We aimed to evaluate the BMI-dependent effect of these treatment strategies on clinical outcomes. This was a pre-specified subgroup analysis from the TICO trial (Ticagrelor Monotherapy After 3 Months in Patients Treated With New Generation Sirolimus-eluting Stent for Acute Coronary Syndrome), evaluating the interaction between BMI and treatment strategies for the primary outcome [composite of major bleeding and adverse cardiac and cerebrovascular events (MACCE): death, myocardial infarction, stent thrombosis, stroke, or target-vessel revascularization]. The secondary outcomes were major bleeding and MACCE. Based on a pre-specified BMI threshold of 25 kg/m2, 3,056 patients were stratified. Patients with BMI <25 kg/m2 had a higher risk of primary and secondary outcomes than those with BMI ≥25 kg/m2. Regardless of the BMI subgroup, the effects of ticagrelor monotherapy after 3-month DAPT on the primary outcome (p int = 0.61), major bleeding (p int = 0.76), and MACCE (p int = 0.80) were consistent without significant interaction compared with ticagrelor-based 12-month DAPT. The treatment effects according to the BMI quartiles and age, sex, and diabetic status were also consistent without significant interaction. The BMI-dependent impact of ticagrelor monotherapy after 3-month DAPT compared with 12-month DAPT on clinical outcomes was not heterogeneous in patients with ACS. [www.ClinicalTrials.gov], identifier [NCT02494895].