Low Between Body Mass Index Research Articles

Abstract 4127562: Age, Adiposity-Related Anthropometrics, and Clinical Outcomes in Heart Failure with Mildly Reduced or Preserved Ejection Fraction: A Participant-Level Pooled Analysis of Randomized Trials

Background: Age has been shown to modify the population-level association between body mass index (BMI) and mortality. However, whether age modifies the association between adiposity-related anthropometrics and adverse outcomes in heart failure (HF) populations has not been systematically explored. Methods: In this participant-level pooled analysis of five international, multicenter, randomized-controlled trials enrolling adults with HF and either mildly reduced or preserved ejection fraction (HFmrEF/HFpEF), the association between age and adiposity-related anthropometrics (BMI, waist circumference [WC], and waist-to-height ratio [WHtR]) and the primary composite outcome of time-to-first HF hospitalization or cardiovascular (CV) death was evaluated using multivariable adjusted Cox proportional hazards models (stratified by treatment and trial) and restricted cubic splines. Results: Among 21,606 participants in the analysis (mean age, 71±9 years; 49% female; 83% White; mean BMI, 30±6 kg/m 2 ), 5,350 (25%) were aged <65 years, 8,273 (38%) were aged 65-74 years, and 7,983 (37%) were aged ≥75 years at baseline. Older individuals were more likely to be female, have lower BMI and WC, and higher left ventricular ejection fraction. Overall, BMI, WC, and WHtR were steeply and non-linearly associated with the primary outcome ( Figure ). Age, as either a categorical or continuous variable, significantly modified the covariate-adjusted association between all anthropometrics and the primary composite outcome ( P ≤0.001 for all) ( Figure ). A J-shaped relationship, characterized by higher incidence of the primary outcome with lower anthropometric values, was observed only for BMI and was substantially attenuated among younger adults. Irrespective of the anthropometric used, increasing adiposity was most steeply associated with primary events among adults aged <65 years. Conclusions: In this pooled analysis of HFmrEF/HFpEF trials, age was a powerful modifier of the relationship between excess adiposity and HF hospitalization or CV death. An “obesity-survival paradox” – observed only for BMI – was not apparent in younger participants, who exhibited the steepest increase in the rate of clinical events with higher adiposity.

BMI trajectories from birth to young adulthood associate with distinct cardiometabolic profiles.

Numerous studies have investigated links between body mass index (BMI) trajectories and cardiovascular risk, yet discrepancies in BMI measurement duration and timing of the cardiovascular-related outcome evaluation have led to inconsistent findings. We included participants from the Swedish birth cohort (BAMSE) and applied latent class mixture modeling to identify BMI trajectories using data of multiple BMI measures (≥ 4 times) from birth until 24-year follow-up (n = 3204). Subsequently, we analyzed the associations of BMI trajectories with lipids (n = 1974), blood pressure (n = 2022), HbA1c (n = 941), and blood leukocytes (n = 1973) using linear regression. We also investigated the circulating levels of 92 inflammation-related proteins (n = 1866) across BMI trajectories. Six distinct BMI groups were identified, denoted as increasing-persistent high (n = 74; 2.3%), high-accelerated increasing (n = 209; 6.5%), increasing-accelerated resolving (n = 142; 4.4%), normal-above normal (n = 721; 22.5%), stable normal (n = 1608; 50.2%), and decreasing-persistent low (n = 450; 14.1%) BMI groups. The increasing-persistent high and high-accelerated increasing BMI groups had higher levels of total cholesterol [mean difference (95% confidence intervals): 0.30 (0.04-0.56) and 0.16 (0.02-0.31) mmol/L], triglyceride, low-density lipoprotein, hemoglobin A1C [3.61 (2.17-5.54) and 1.18 (0.40-1.98) mmol/mol], and low-density lipoprotein/high-density lipoprotein ratios, but a lower level of high-density lipoprotein than the stable normal BMI group. These two groups also had higher leukocyte cell counts and higher circulating levels of 28 inflammation-related proteins. No increased cardiometabolic markers were observed in the increasing-accelerated resolving BMI group. Participants with persistently high or accelerated increasing BMI trajectories from birth to young adulthood have elevated levels of cardiometabolic risk markers at young adulthood than those with stable normal BMI. However, a raised BMI in childhood may not be inherently harmful to cardiometabolic health, provided it does not persist into adulthood.

Nonparametric Testing of Body Mass Index as a Predictor of Severe Noma: Assessing Potential Association.

Noma, a devastating facial disease, primarily affects impoverished populations in low- and middle-income countries, often leading to severe disfigurement or fatality if untreated. Studies suggest malnutrition is a significant risk factor for noma, yet the association between body mass index (BMI) in kilograms per square meter and tissue damage severity remains underexplored. This study aimed to investigate the relationship between BMI and tissue damage severity among noma cases in Ethiopia. A retrospective analysis of medical records from Facing Africa's database covering noma cases treated between 2007 and 2019 was conducted. A standardized data collection template recorded demographic and clinical data, including patient demographics, BMI, and tissue damage severity levels. JASP statistical software was used for analysis. Analysis of 228 noma cases revealed a mean BMI of 17.8 kg/m2, ranging from 11.5 to 28.3 kg/m2. Females exhibited a higher mean BMI (18.3 kg/m2) than males (16.9 kg/m2). Differences in BMI distributions between major (67) and minor (30) tissue damage categories were observed, with "minor" cases having a slightly higher mean BMI. The study found a statistically significant association between BMI and tissue damage severity (P = 0.03), indicating that tissue damage due to noma worsened as BMI decreased. Nonparametric tests confirmed this association's significance. This study highlights low BMI as a predictor of severe noma. Public health interventions should focus on malnutrition to reduce noma severity and psychosocial and functional morbidity and improve outcomes. However, additional factors influencing the progression of noma and the severity of associated tissue damage require further investigation.

Association of Weight Status and Waist Circumference with Physical Activity in people with Schizophrenia Spectrum Disorders and healthy controls

BackgroundIndividuals with Schizophrenia Spectrum Disorders (SSD) often suffer from obesity and do limited Physical Activity (PA). PA has many beneficial effects on a variety of somatic and mental variables and it should be strengthened among people with mental disorders. The relationship between Body Mass Index (BMI), Waist Circumference (WC), and PA in this population is poorly understood, with a lack of precise PA assessment. This study investigates the association between BMI, WC, weight, and PA in individuals with SSD and controls using accelerometers. MethodsOne hundred twenty-six patients with SSD (residents and outpatients) and 110 sex- and age-matched controls were enrolled. Clinical, sociodemographic, and quality-of-life data were collected. PA was measured with a tri-axial ActiGraph GT9X and quantified by Vector Magnitude (VM). Relationships between PA and BMI, WC, and weight changes were analysed using linear regression models. ResultsPatients were more likely to be unmarried, unemployed, and less educated compared to controls (p < 0.001). Residents had more medical comorbidities (p = 0.001), while outpatients had higher BMI, weight, and WC (p < 0.001). Residents reported more severe psychopathology, lower functioning, and greater use of psychopharmacological medications (p < 0.001). Higher PA levels were not significantly associated with lower BMI, WC, or weight. Although not statistically significant, increased PA showed a trend towards lower obesity risk. ConclusionsSociodemographic, medical, and clinical characteristics of individuals with SSD define vulnerability factors that can inform tailored interventions to improve PA.

Analysis of Radiation Dose Rate and Evaluation of Whole Body Scan SPECT/CT Images in Thyroid Carcinoma Radioablation Patients Using Radioisotope 131I

The incidence rate of thyroid carcinoma shows an increasing trend from year to year. One method for treating thyroid carcinoma is radioablation therapy using 131I. The use of 131I must be carried out in accordance with radiation safety regulations to avoid undesirable radiation dose rates. Therefore, research was conducted to analyze the radiation dose rate emitted by patients, obtain the relationship between body mass index (BMI) and the emitted dose rate, and evaluate whole body scan images of Single-Photon Emission Computed Tomography (SPECT/CT) of thyroid carcinoma radioablation patients. The research was carried out by measuring the patient's radiation dose rate using a surveymeter. The sample used was 53 patients who met the inclusion criteria and were not included in the exclusion criteria. The patient is isolated until it is safe to leave the hospital, then the therapy is evaluated by means of a whole body scan using SPECT/CT. Region of Interest (ROI) was carried out on the thyroid, stomach, liver, large intestine and bladder. On the third day the patient's dose rate value was below 70 μSv/h so that the patient could go home safely in accordance with radiation protection regulations. The average dose rate value for obese patients was higher compared to patients with low, normal and excess BMI. The high organ radiation count value for whole body SPECT/CT scan patients is caused by several factors such as the absorption of 131I by organs and the buildup of radioisotopes in organs.

#1498 Higher body mass index in patients with diabetes mellitus and hemodialysis associated with a better survival in contrast to peritoneal dialysis

Abstract Background and Aims The association between Body Mass Index (BMI) and the risk of mortality in patients with end stage renal diseases and dialysis treatment is debated. The aim of this study was to assess the association between BMI and the risk of all-cause mortality in patients with diabetes mellitus (DM) on maintenance hemo- (HD) versus peritoneal dialysis (PD). Method We used the data from Swedish Renal Registry (SRR) which included 3235 patients with diabetes mellitus on dialysis treatment (2452 on HD and 783 on PD). The follow-up period was 3.9 ± 3.5 years and patients who switched from PD to HD, or vice versa, during the study period were excluded. The patients were divided in six groups by mean value of BMI according to classification of BMI by WHO. The relationships between mean value of BMI and mortality were examined by time-dependent Cox models to estimate hazard ratios (HR) and 95% confidence intervals (CI) in univariate and multivariate analyses, with adjustment for demographics, laboratory findings and comorbidities. The group with BMI 18.5&amp;lt;BMI≤25.0 kg/m2 was used as a reference group. Results During the follow-up period 1688 (53%) deaths occurred (1275 on HD, 413 on PD). The mean value of BMI was 27 ± 6 kg/m2 in HD and 26 ± 5 kg/m2 in PD. In the multivariate analyses, patients on HD with a low BMI≤18.5 kg/m2 had a higher risk for all-cause mortality (HR1.94, CI 1.47-2.54; p &amp;lt; 0.01) compared to the reference group. However, HD-patients with a higher BMI 25.1-30.0 kg/m2 (HR 0.84, CI 0.73-0.96; p &amp;lt; 0.01), 30.1-35 kg/m2 (HR 0.66, CI 0.55-0.78; p &amp;lt; 0.01), and 35.1-40.0 kg/m2 (HR 0.65, CI 0.49-0.85; p &amp;lt; 0.01) had a significantly decreased risk of all-cause mortality compared to the reference group. In multivariate analyses, patients on PD, BMI groups of 25.1-30 kg/m2 (HR 0.86, CI 0.67-1.09), 30.1-35 kg/m2 (HR0.94, CI 0.67-1.31), and 35.1-40 kg/m2 (HR 0.93, CI 0.48-1.77) were not-significantly associated with a risk of mortality. Conclusion In patients with diabetes mellitus on maintenance hemodialysis underweight (BMI≤18.5 kg/m2) was associated with an increased risk of all-cause mortality; however overweight (BMI 25.1-30.0 kg/m2), class 1 obesity (BMI 30.1-35.0 kg/m2) and class 2 obesity (BMI 35.1-40.0 kg/m2) were associated with better survival. In contrast, in patients with diabetes mellitus on maintenance peritoneal dialysis no association between BMI and risk of all-cause mortality was found.

Association Between Body Mass Index (BMI) and Occurrence of Esophageal Cancer

Aim: Esophageal cancer, one of the leading causes of cancer deaths globally, has been linked to body mass index (BMI). Studies have shown varying associations between BMI and different subtypes of esophageal cancer, namely adenocarcinoma and squamous cell carcinoma. However, there is limited literature from Pakistan on this topic. This study aims to investigate the association between BMI and the occurrence of esophageal cancer in a Pakistani population. Methods: A prospective observational study was conducted at the Oncology Department of Jinnah Postgraduate Medical Center, Pakistan. Participants included patients over 18 years old with suspected adenocarcinoma or squamous carcinoma of the esophagus. The study utilized a non-probability consecutive sampling technique, and data was collected using a predefined proforma. The association between BMI and types of esophageal carcinoma was analyzed using Chi-square tests. Results: The study found a statistically significant relationship between increasing BMI and the risk of developing esophageal adenocarcinoma. Conversely, a lower BMI was associated with a higher risk of squamous cell carcinoma. These findings align with existing literature that suggests different BMI associations with esophageal cancer subtypes. Conclusion: This study underscores the distinct relationships between BMI and different types of esophageal cancer. It highlights the importance of considering BMI as a factor in the risk assessment for esophageal cancer, particularly in the Pakistani population. Keywords: Esophageal Cancer, Body Mass Index (BMI), Adenocarcinoma, Squamous Cell Carcinoma

#804 The nonlinear association between body mass index and chronic kidney disease: a prospective cohort study and Mendelian randomization analysis

Abstract Background and Aims Previous studies mainly focused on linear association between body mass index (BMI) and the risk of chronic kidney disease (CKD). In the current research, we conducted a prospective cohort observational study and Mendelian Randomization analysis to explore whether non-linear relationship exists between BMI and CKD. Method In the prospective cohort study, 495,465 participants from the UK biobank were included. The Cox proportional hazards model with fractional polynomial transformation was used to estimate the hazard ratio of BMI for incident CKD. In addition, nonlinear Mendelian Randomization analysis was performed using the fractional polynomial method to verify the causality of the association. Results In the observational analysis, a J-shaped association was observed between BMI and the risk of CKD. The risk of CKD was lowest when the BMI was around 18-20 kg/m2, and the hazard of developing CKD increased in participants with lower or higher BMI (Fig. 1). When assessing the causal relationship, in Mendelian Randomization analysis, despite that a nonlinear relationship still held true (P-value for non-linearity = 0.008), the odds ratio for CKD monotonically rised with increasing BMI (Fig. 2). Conclusion The J-shape association between BMI and CKD revealed by the observational cohort study was not supported by the Mendelian Randomization, which indicated a monotonically causal relationship that the risk of CKD rised with increasing BMI.

Prognostic value of body mass index for first-line chemoimmunotherapy combinations in advanced non-small cell lung cancer in Chinese population

BackgroundFew studies have examined the correlation between body mass index (BMI) and effectiveness of first-line chemoimmunotherapy in patients with advanced non-small cell lung cancer (NSCLC); moreover, the conclusion remains elusive and no such studies have been conducted in the Chinese population. Our study aimed to validate the predictive significance of BMI in Chinese patients with advanced NSCLC receiving first-line chemoimmunotherapy combinations. MethodsData of patients with advanced NSCLC treated with first-line chemoimmunotherapy between June 2018 and February 2022 at three centers were retrieved retrospectively. The association between baseline BMI with progression-free survival (PFS) and overall survival (OS) was evaluated using the Kaplan–Meier method and Cox regression models. BMI was categorized according to the World Health Organization criteria. ResultsOf the included 805 patients, 5.3 % were underweight, 63.4 % had normal weight, 27.8 % were overweight, and 3.5 % were obese. Survival analysis showed that patients in the high BMI group had significantly better PFS (p = 0.012) and OS (p = 0.014) than those in the low BMI group. Further, patients in the overweight subgroup had better PFS (p = 0.036) and OS (p = 0.043) compared to the normal weight population. The results of Cox regression analysis confirmed the correlations between BMI and prognosis of advanced NSCLC patients receiving first-line chemoimmunotherapy combinations. ConclusionsBaseline BMI affected the clinical outcomes of first-line chemoimmunotherapy combinations in patients with advanced NSCLC, and was especially favorable for the overweight subgroup.

An analysis of the association between breast density and body mass index with breast cancer molecular subtypes in early breast cancer: data from a Spanish population

PurposeBreast cancer is an important health problem, like obesity and dyslipidemia, with a strong association between body mass index (BMI) and breast cancer incidence and mortality. The risk of breast cancer is also high in women with high mammographic breast density (MBD). The purpose of this study was to analyze the association between BMI and MBD according to breast cancer molecular subtypes.MethodsThis transversal, descriptive, multicenter study was conducted at three Spanish breast cancer units from November 2019 to October 2020 in women with a recent diagnosis of early breast cancer. Data were collected at the time of diagnosis.ResultsThe study included 162 women with a recent diagnosis of early breast cancer. The median age was 52 years and 49.1% were postmenopausal; 52% had normal weight, 32% overweight, and 16% obesity. There was no association between BMI and molecular subtype but, according to menopausal status, BMI was significantly higher in postmenopausal patients with luminal A (p = 0.011) and HER2-positive (p = 0.027) subtypes. There was no association between MBD and molecular subtype, but there were significant differences between BMI and MBD (p < 0.001), with lower BMI in patients with higher MBD. Patients with higher BMI had lower HDL-cholesterol (p < 0.001) and higher insulin (p < 0.001) levels, but there were no significant differences in total cholesterol or vitamin D.ConclusionsThis study showed higher BMI in luminal A and HER2-positive postmenopausal patients, and higher BMI in patients with low MBD regardless of menopausal status.

Body mass index and all-cause mortality in HUNT and UK biobank studies: revised non-linear Mendelian randomisation analyses

ObjectivesTo estimate the shape of the causal relationship between body mass index (BMI) and mortality risk in a Mendelian randomisation framework.DesignMendelian randomisation analyses of two prospective population-based cohorts.SettingIndividuals of European...

Inhibitory control mediates the association between body mass index and math performance in children: A cross-sectional study.

Overweight and obesity affect more than 18% of children and adolescents in the world. Obesity-related associations with brain morphology might be associated with reduced efficiency of inhibitory control. This association highlights a possible mechanism by which obesity impacts intelligence and academic achievement. Prior work indicates a mediating effect of inhibitory control on the relationship between body mass index (BMI) and intelligence and academic achievement. However, although obesity is associated with impaired math performance, we do not know whether inhibitory control also mediates the relationship between BMI and math performance. This study tests the hypothesis that inhibitory control statistically mediates the relationship between BMI and math performance. 161 children (9 to 13 years old, 80 female) participated in the present study. We evaluated BMI; math performance, in a test composed of 20 arithmetic equations of the type x = (a × b) - c; and inhibitory control through the Flanker test. We carried out Spearman correlation tests, hierarchical multiple linear regression, and tested the confidence of the model where inhibitory control statistically mediates the indirect association between BMI and math performance. Mediation analysis in this cross-sectional study aimed to improve understanding of indirect relationships and offer insights into possible causal connections. Better math performance and lower BMI were associated with greater accuracy on the inhibitory control test and greater accuracy on the inhibitory control test was associated with better performance on math test. We found an indirect association between higher BMI in children and impairments in math performance, that was mediated by inhibitory control (a: -0.008, p = 0.025; b: 7.10, p = 0.0004; c: 0.05, p = 0.592; c': 0.11, p = 0.238; Indirect Effect: -0.0599, 95% CI: -0.13, -0.005). An indirect association between higher body mass indices in children and impairments in math performance was detected, through the impact that BMI has on inhibitory control.

Inverse L-Shaped Association Between Body Mass Index and Myopia in Chinese Schoolchildren: A Pilot Study.

The prevalence of obesity and myopia in young people is increasing worldwide; however, the association between body mass index (BMI) and myopia remains controversial. This study aimed to assess the association between BMI and myopia in Chinese schoolchildren. In this study, the open data for analysis were obtained from DATADRYAD website (www.datadryad.org). A total of 3658 children were enrolled in this study. Logistic regression model was used to analyze the relationship between BMI and myopia. Compared with individuals with lower BMI Q1 (less than 25 kg/m2), the adjusted odds ratios (ORs) for BMI and myopia were 2.15 (95% confidence interval [CI]: 1.62-2.86) in Q2 (25.0-29.9 kg/m2) and 2.39 (95% CI: 1.37-4.18) in Q3 (30.0 kg/m2 or more). Moreover, the association between BMI and myopia exhibited an inverted L-shaped curve (nonlinear; p < 0.001). When the BMI was <25 kg/m2, an increased BMI was significantly associated with a higher risk of myopia (OR = 1.244 [95% CI: 1.211-1.277], p < 0.001). However, when the BMI was ≥25 kg/m2, the association lost its significance (OR = 1.063 [95% Cl: 0.964-1.171], p = 0.219). This study found an inverted L-shaped association between BMI and myopia in Chinese schoolchildren. A higher BMI was associated with a higher risk of myopia reaching 25 kg/m2, after which an increase in BMI was no longer associated with an increased risk of myopia.

Association of body mass index with long-term outcomes in older adults hospitalized for COVID-19: an observational study

Both underweight and obesity have been associated with poor prognosis in COVID-19. In an older populations of patients hospitalized for SARS-CoV-2 infection, we aimed to evaluate the association between body mass index (BMI) and short and long-term prognosis. Among 434 consecutive patients aged ≥ 70 years and hospitalized for suspected COVID-19 at a university hospital, 219 patients (median age of 83 years, 53% male) testing positive for COVID-19 and for whom BMI was recorded at admission, agreed to participate. Among them, 39 had a BMI < 20 kg/m2, 73 had a BMI between 20 and 24.9 kg/m2 and 107 had a BMI ≥ 25 kg/m2. After adjustment for confounders, BMI < 20 kg/m2 was associated with a higher risk of one-year mortality (hazard ratio (HR) [95% confidence interval]: 1.75 [1.00–3.05], p = 0.048), while BMI ≥ 25 kg/m2 was not (HR: 1.04 [0.64–1.69], p = 0.9). However, BMI was linearly correlated with both in-hospital acute respiratory failure (p = 0.02) and cardiovascular events (p = 0.07). In this cohort of older patients hospitalized for COVID-19, low BMI, rather than high BMI, appears as an independent risk factor for death after COVID-19. The pathophysiological patterns underlying this excess mortality remain to be elucidated.

Individual and school correlates of body mass index and cardiorespiratory fitness in primary school children from the REACT project: A multivariate multilevel analysis.

This paper examines the relationship between body mass index (BMI) and cardiorespiratory fitness (CRF) using a multivariate multilevel approach and investigates the links between individual and school-related correlates with children's BMI and CRF. This cross-sectional sample included 1014 children (6-10 years) from 25 Portuguese primary schools. BMI was calculated, and CRF was assessed with the PACER test. Fundamental movement skills (FMS) included five object control tasks. Moderate-to-vigorous physical activity (MVPA), sleep, and sedentary time were assessed with the ActiGraph wGT3X-BT accelerometer. Socioeconomic status (SES) and school variables were also obtained. A multivariate multilevel model was used, and alpha was set at 5%. BMI and CRF systematically increased with age. Most of the joint variance (94.4%) was explained at the child level, and BMI and CRF were correlated at this level (ρ = -.37). More active children demonstrated higher CRF levels and had lower BMI levels; sedentary and sleep time were not significantly associated with BMI or CRF. FMS were positively associated with CRF but were not significantly associated with BMI. Children at higher SES were more fit and had lower BMI than their peers of lower SES. Finally, school-level variables were not significantly related to BMI and CRF. BMI and CRF had a low but statistically significant negative correlation in this sample of children. Most of the variation in BMI and CRF was explained by child-level characteristics.

P399 Impact of Body Mass Index on Clinical Outcomes in Intestinal Behçet’s disease

Abstract Background The impact of underweight and obesity on clinical outcomes for intestinal Behçet’s disease (BD) is unknown. We aimed to identify the association between body mass index (BMI) and clinical outcomes in patients with intestinal BD. Methods We categorized 760 patients with intestinal BD according to the BMI at diagnosis into four groups (underweight, normal, overweight, obese) at Severance Hospital, Seoul, Korea between 1997 and 2021.We performed a Cox proportional hazard analysis to investigate the predictive capability of BMI for clinical outcomes such as biologics use, surgery, hospitalization and emergency room visit. Results Of the 760 patients, 130 patients were classified into underweight group (BMI&amp;lt;18.5), 384 patients into normal group (BMI 18.5~22.9), 152 patients into overweight group (BMI 23~24.9), and 94 patients into obese group (BMI≥25). Patients with a higher BMI group showed significantly lower cumulative rates of biologics use (p trend = 0.001), surgery (p trend = 0.008), hospitalization (p trend = 0.002), and emergency room visits (p trend = 0.003) than those with a lower BMI group. In a multivariate analysis, normal BMI group (HR: 0.667, 95% CI 0.483-0.992, p =0.014), overweight group (HR: 0.589, 95% CI 0.394-0.879,p=0.010), and obese group (HR: 0.515, 95% CI 0.321-0.828, p=0.006) were negatively associated with future hospitalization compared to underweight group. Overweight group (HR: 0.490, 95% CI 0.241-0.996, p =0.049) and obese group (HR: 0.312, 95% CI 0.116-0.840,p =0.021) were negatively associated with future biologics use compared to the underweight group. Normal BMI group (HR: 0.706, 95% CI 0.484- 1.029, p=0.070) and obese group (HR : 0.556, 95% CI 0.303-1.020,p=0.058) were negatively associated with future surgery compared to the underweight group. Normal BMI group (HR: 0.711, 95% CI 0.513-0.985, p=0.041) and obese group (HR: 0.602, 95% CI 0.376-0.963, p=0.034) were negatively associated with future emergency room visit compared to the underweight group. Conclusion Underweight could affect poor outcomes in intestinal Behçet’s disease. Physicians should pay attention to the patients with underweight and make an effort to improve nutritional status.

Association between body mass index and respiratory symptoms in US adults: a national cross-sectional study

The correlation between body mass index (BMI) and the development of cough, shortness of breath, and dyspnea is unclear. Therefore, this study aimed to investigate the association between these parameters. Data from individuals who participated in the National Health and Nutrition Examination Survey between 2003 and 2012 were analyzed. Weighted logistic regression analysis and smoothed curve fitting were used to examine the correlation between BMI and respiratory symptoms. In addition, the relationship between BMI, chronic obstructive pulmonary disease (COPD), and bronchial asthma was examined. Stratified analysis was used to discover inflection points and specific groups. Weighted logistic regression and smoothed curve fitting revealed a U-shaped relationship between BMI and respiratory symptoms. The U-shaped relationship in BMI was also observed in patients with bronchial asthma and COPD. Stratified analysis showed that the correlation between BMI and wheezing and dyspnea was influenced by race. In addition, non-Hispanic black individuals had a higher risk of developing cough than individuals of the other three races [OR 1.040 (1.021, 1.060), p < 0.0001], and they also exhibited an inverted U-shaped relationship between BMI and bronchial asthma. However, the association of BMI with cough, wheezing, dyspnea, COPD, and asthma was not affected by sex. High or low BMI was associated with cough, shortness of breath, and dyspnea, and has been linked to bronchial asthma and COPD. These findings provide new insights into the management of respiratory symptoms and respiratory diseases.

Relationship between BMI and prognosis of chronic heart failure outpatients in Vietnam: a single-center study

BackgroundInsufficient data exists regarding the relationship between body mass index (BMI) and the prognosis of chronic heart failure (CHF) specifically within low- and middle-income Asian countries. The objective of this study was to evaluate the impact of BMI on adverse outcomes of ambulatory patients with CHF in Vietnam.MethodsBetween 2018 and 2020, we prospectively enrolled consecutive outpatients with clinically stable CHF in an observational cohort, single-center study. The participants were stratified according to Asian-specific BMI thresholds. The relationships between BMI and adverse outcomes (all-cause death and all-cause hospitalization) were analyzed by Kaplan–Meier survival curves and Cox proportional-hazards model.ResultsAmong 320 participants (age 63.5 ± 13.3 years, 57.9% male), the median BMI was 21.4 kg/m2 (IQR 19.5–23.6), and 10.9% were underweight (BMI &amp;lt;18.50 kg/m2). Over a median follow-up time of 32 months, the cumulative incidence of all-cause mortality and hospitalization were 5.6% and 19.1%, respectively. After multivariable adjustment, underweight patients had a significantly higher risk of all-cause mortality than patients with normal BMI (adjusted hazard ratios = 3.03 [95% CI: 1.07–8.55]). Lower BMI remained significantly associated with a worse prognosis when analyzed as a continuous variable (adjusted hazard ratios = 1.27 [95% CI: 1.03–1.55] per 1 kg/m2 decrease for all-cause mortality). However, BMI was not found to be significantly associated with the risk of all-cause hospitalization (p &amp;gt; 0.05).ConclusionIn ambulatory patients with CHF in Vietnam, lower BMI, especially underweight status (BMI &amp;lt; 18.5 kg/m2), was associated with a higher risk of all-cause mortality. These findings suggest that BMI should be considered for use in risk classification, and underweight patients should be managed by a team consisting of cardiologists, nutritionists, and geriatricians.

Association between body mass index and cognitive impairment in Chinese older adults

BackgroundThe association between body mass index (BMI) and the risk of cognitive impairment remains uncertain. Relatively few studies have analyzed the dose–response relationship between BMI and cognitive impairment. This article utilized nationally representative longitudinal data to assess the association between BMI and cognitive impairment in Chinese older adults.ObjectiveThe present study aimed to analyze the association between BMI and cognitive impairment in Chinese older people, including an investigation of gender differences and the dose–response relationship.MethodsData were obtained from the China Health and Retirement Longitudinal Study database in 2015 and 2018. The present study used logistic regression to analyze the relationship between baseline BMI and cognitive impairment, and adopted a restricted cubic spline model to plot dose–response curves for baseline BMI and prevalence of risk of cognitive impairment.ResultsThe mean BMI of the survey population was 23.48 ± 3.66 kg/m2, and the detection rate of cognitive impairment was 34.2%. Compared to the normal weight group (18.5 ≤ BMI &amp;lt; 23.9 kg/m2), the odds ratio (OR) for cognitive impairment was 1.473 (95% CI: 1.189–1.823) in the underweight group (BMI &amp;lt; 18.5 kg/m2), whereas the corresponding OR was 0.874 (95% CI: 0.776–0.985) for the overweight or obese group (BMI ≥ 24.0 kg/m2) after adjusting for confounders. Gender subgroup analysis showed that overweight or obese older women were less likely to develop cognitive impairment (OR = 0.843; 95% CI: 0.720–0.987). The results of the restricted cubic spline analysis revealed a curvilinear L-shaped relationship between BMI and the risk of cognitive impairment (P non-linearity &amp;lt;0.05). In particular, the risk of cognitive impairment was higher at a lower baseline BMI. In contrast, BMI in the range of 23.2–27.8 kg/m2 was associated with a decreased risk of cognitive impairment.ConclusionBMI is a dose-dependent related factor for cognitive impairment in Chinese older adults. Being underweight is a risk factor for the development of cognitive impairment, while being overweight or obese is less likely to have cognitive impairment, particularly in female older people. Keeping BMI ranging from 23.2–27.8 kg/m2 in older adults can help maintain cognitive function.

Association between body mass index and hemoglobin A1c with serum prostate-specific antigen level: A retrospective cohort study.

To assess the association between body mass index (BMI) and hemoglobin A1c (HbA1c) with serum prostate-specific antigen (PSA) level. A retrospective cohort study was carried out at King Faisal Specialist Hospital and Research Centre in Riyadh, Saudi Arabia, from January 2016 to December 2021. Data were collected from the medical records of patients who visited the family medicine clinics, including demographics, smoking status, BMI value, index PSA level, testosterone level, digital rectal exam findings, prostate biopsy status, fasting blood glucose (FBG), HbA1c, diabetes duration, chronic comorbidities (namely, hypertension, dyslipidemia, or chronic kidney disease), and medication history. The mean PSA level was 1.89±4.02 ng/dL and mean HbA1c was 6.59±2.69%. Of the participants, 41.8% were overweight, 54.3% were non-diabetics, and 85.3% were nonsmokers. Only 11 (1.6%) participants had undergone a prostate biopsy after taking a PSA test. There was a positive correlation between PSA level and age, a negative correlation between PSA level and BMI, and no correlation between PSA level and HbA1c or FBG. Prostate-specific antigen levels were higher in older people and those with low BMIs. No correlations were found between PSA levels and HbA1c or FBG, even after adjusting for other variables. Moreover, no correlations were found between PSA levels and other comorbidities such as dyslipidemia, chronic kidney disease, and hypertension.