Individual Body Mass Index Research Articles

Associations of Individual and Combined Physical Activity and Body Mass Index Groups with Proinflammatory Biomarkers among Colorectal Cancer Patients.

Physical activity and obesity are well-established factors of colorectal cancer risk and prognosis. Here, we investigate associations of individual and combined physical activity and body mass index (BMI) groups with proinflammatory biomarkers in colorectal cancer patients. Self-reported physical activity levels were classified as "active" (≥8.75 MET-hours/week) versus "inactive" (<8.75 MET-hours/week) in n = 579 stage I-IV colorectal cancer patients enrolled in the ColoCare Study. BMI [normal weight (≥18.5-<25 kg/m2), overweight (≥25-<30 kg/m2), and obese (≥30 kg/m2)] was abstracted from medical records. Patients were classified into four combinations of physical activity levels and BMI. Biomarkers [C-reactive protein (CRP), SAA, IL6, IL8, and TNFα] in presurgery serum samples were measured using the Mesoscale Discovery Platform. Regression models were used to compute relative percent differences in biomarker levels by physical activity and BMI groups. "Inactive" patients had non-statistically significant higher IL6 levels compared with "active" patients (+36%, P = 0.10). "Obese" patients had 88% and 17% higher CRP and TNFα levels compared with "normal weight" patients (P = 0.03 and 0.02, respectively). Highest CRP levels were observed among "overweight or obese/inactive" compared with "normal weight/active" patients (P = 0.03). We provide evidence of associations between individual and combined physical activity and BMI groups with proinflammatory biomarkers. Although BMI was identified as the key driver of inflammation, biomarker levels were higher among "inactive" patients across BMI groups. This is the largest study in colorectal cancer patients investigating associations of energy balance components with inflammatory biomarkers. Our results suggest that physical activity may reduce obesity-induced inflammation in colorectal cancer patients and support the design of randomized controlled trials testing this hypothesis.

Are there any interactions between modified Nordic-style diet score and MC4R polymorphism on cardiovascular risk factors among overweight and obese women? A cross-sectional study

BackgroundCardiovascular disease (CVD) is the leading cause of death in women globally. Recent studies have reported that the minor allele (C allele) for melanocortin 4 receptor (MC4R) rs17782313 may be related to the incidence of obesity and the risk of CVD. Therefore, the present study aimed to investigate the interactions between the modified Nordic-style diet score (MND) and MC4R gene variant on markers of CVD.MethodsThe current cross-sectional study was conducted on 282 Iranian women, aged 18–48 years, with a body mass index (BMI) ≥ 25. MND score was assessed using a 147 items food frequency questionnaire (FFQ). Genotyping of the MC4R (rs17782313) was conducted by the PCR method. The anthropometric measurements and serum profiles were assessed by standard protocols.ResultsThe means and standard deviation (SD) of age, weight, and BMI of individuals were 36.67 ± 9.10 years, 81.29 ± 12.43 kg, and 31.26 ± 4.29 kg/m2, respectively. The overall prevalence of rs17782313 genotypes was 30.1%, 24.8%, and 45.1% for TT, TC, and CC, respectively. Our results showed significant negative interactions between high MND score and rs17782313 SNP in terms of visceral fat level (VFL) (β: -10.84, 95% CI: -20.64 to -1.04, P = 0.03) and total cholesterol (β: -24.24, 95% CI: -49.87 to 1.38, P = 0.06) in the crude model. After adjusting confounders, the interaction between high MND scores and VFL remained significant.ConclusionIn conclusion, the results of the present study suggest that diet, gene variants, and their interaction should be considered in metabolic disease risk assessment. Further studies are needed to confirm these data and better elucidate the interaction.

Obstacle clearance performance in individuals with high body mass index

The objective of this study was to quantify performance in an obstacle clearance task among individuals with excess body weight or body mass index (BMI). Task performance was operationalized as the maximum obstacle height cleared, four duration measures of successful task completion and compensatory movements used in the process of task completion. Eighteen participants with a BMI exceeding 30 kg/m2 completed a laboratory experiment that required stepping over seven lightweight obstacles. Obstacle heights were sequentially increased from 36 cm in 5 cm increments until participants were unsuccessful or unable to clear the obstacle up to 66 cm. Successful task completions decreased from 100% at an obstacle height of 36 cm to 66.1% at 66 cm. Higher obstacle heights were associated with significantly fewer task completions, longer leading and trailing leg stance and overall task duration, and more frequent use of compensatory movements for successful obstacle clearance. Cox PH regression was used to test the association between probability of obstacle clearance and normalized obstacle height adjusting for BMI, standing balance, and type of compensatory movement used, namely, hover and pivot motions involving the leg, and hands for bracing. The probability of successful task completion significantly decreased with increases in BMI (hazard ratio, HR = 1.14, 95% CI: 1.05–1.25), and increased with use of a leg pivot motion (HR = 0.30, 95% CI: 0.09–0.96) during task completion, after adjusting for standing balance and other types of compensatory movements. Overall, the results demonstrated that obstacle clearance performance is affected by an individual's BMI and the use of compensatory behaviors for regaining stability. The ability to recruit internal and external stabilization techniques could potentially serve as a clinical indicator of reduced fall risk and be the focus of fall prevention interventions. Implications for evaluating stability, fall risk, and identifying modifiable factors for fall prevention in the obese population are discussed.

Intuitive eating in general aspects of eating behaviors in individuals with obesity: Randomized clinical trial.

Dysfunctional eating behaviors may be associated with weight gain and have a negative impact on obesity. Intuitive eating is a strategy that helps with changing eating behaviors. This study aimed to analyze the effects of intuitive eating alone or combined with nutritional guidelines on eating behaviors, weight, and body mass index (BMI), in individuals with obesity. This is a randomized clinical trial of 58 individuals (84.5% females and 84.5% candidates for bariatric surgery). The mean age was 40.5 years (SD=9.1). The mean BMI was 48.3kg/m2 (SD=7.4). Individuals were randomized into three groups: 1) the control group (CG; n=18), who received an individualized meal plan, 2) the intuitive eating group (IEG; n=23), and 3) the intuitive eating and nutritional guidelines application group (IEGDG; n=17). The study lasted for six months. Eating behaviors were assessed using the Binge Eating Scale and Three Factor Eating Questionnaire, the 21-item version. Compared with the CG, the IEG and IEGDG did not differ in binge eating, cognitive restriction, emotional eating, and uncontrolled eating. Likewise, there were no significant differences in weight and BMI. Intuitive eating alone or in combination with nutritional guidelines did not alter the general domains of eating behaviors, weight, and BMI in individuals with obesity. We suggest further studies involving other health professionals, as well as evaluating the effects of intuitive eating using scales, in addition to eating behaviors. https://ensaiosclinicos.gov.br6, Identifier: RBR-7q9nj8.

Body mass index trajectories and their predictors in undergraduate students from Canada: Results from the GENEiUS study

Objective: To explore the patterns and predictors of body mass index (BMI) change among undergraduate students from Ontario (Canada). Participants: 68 undergraduate students were followed longitudinally for 3 years with anthropometric data collected bi-annually. Methods: BMI measurements were plotted to generate individual BMI trajectory curves, which were categorized, based on the observed trajectory pattern. Within and between group comparisons of BMI were conducted via nonparametric paired tests. The association of baseline BMI, sex, and ethnicity with BMI trajectory type was assessed using multinomial logistic regression. Results: Four BMI trajectory types were observed: “stable weight” (n = 15, 22.1%), “weight gain” (n = 30, 44.1%), “weight loss” (n = 12, 17.6%), and “weight cycling” (n = 11, 16.2%) trajectories. Higher baseline BMI was significantly associated with the “weight gain,” “weight loss,” and the “weight cycling” trajectories as compared to the “stable weight” trajectory type. Conclusions: Our findings demonstrate an association between high baseline BMI and “nonstable” subsequent BMI change patterns among Canadian students.

Influence of patient-specific factors when comparing multifidus fat infiltration between chronic low back pain patients and asymptomatic controls.

Many studies have attempted to link multifidus (MF) fat infiltration with muscle quality and chronic low back pain (cLBP), but there is no consensus on these relationships. In this cross-sectional cohort study, 39 cLBP patients and 18 asymptomatic controls were included. The MF muscle was manually segmented at each lumbar disc level and fat fraction (FF) measurements were taken from the corresponding advanced imaging water-fat images. We assessed the distribution patterns of MF fat from L1L2 to L5S1 and compared these patterns between groups. The sample was stratified by age, sex, body mass index (BMI), subject-reported pain intensity (VAS), and subject-reported low back pain disability (oswestry disability index, ODI). Older patients had significantly different MF FF distribution patterns compared to older controls (p < 0.0001). Male patients had 34.8% higher mean lumbar spine MF FF compared to male controls (p=0.0006), significantly different MF FF distribution patterns (p=0.028), 53.7% higher mean MF FF measurements at L2L3 (p=0.037), and 50.6% higher mean MF FF measurements at L3L4 (p=0.041). Low BMI patients had 29.7% higher mean lumbar spine MF FF compared to low BMI controls (p=0.0077). High BMI patients only had 4% higher mean lumbar spine MF FF compared to high BMI controls (p=0.7933). However, high BMI patients had significantly different MF FF distribution patterns compared to high BMI controls (p=0.0324). Low VAS patients did not significantly differ from the control cohort for any of our outcomes of interest; however, high VAS patients had 24.3% higher mean lumbar spine MF FF values (p=0.0011), significantly different MF FF distribution patterns (p < 0.0001), 34.7% higher mean MF FF at L2L3 (p=0.040), and 34.6% higher mean MF FF at L3L4 (p=0.040) compared to the control cohort. Similar trends were observed for ODI. This study suggests that when the presence of paraspinal muscle fat infiltration is not characteristic of an individual's age, sex, and BMI, it may be associated with lower back pain.

Obesity and brain structure in schizophrenia – ENIGMA study in 3021 individuals

Schizophrenia is frequently associated with obesity, which is linked with neurostructural alterations. Yet, we do not understand how the brain correlates of obesity map onto the brain changes in schizophrenia. We obtained MRI-derived brain cortical and subcortical measures and body mass index (BMI) from 1260 individuals with schizophrenia and 1761 controls from 12 independent research sites within the ENIGMA-Schizophrenia Working Group. We jointly modeled the statistical effects of schizophrenia and BMI using mixed effects. BMI was additively associated with structure of many of the same brain regions as schizophrenia, but the cortical and subcortical alterations in schizophrenia were more widespread and pronounced. Both BMI and schizophrenia were primarily associated with changes in cortical thickness, with fewer correlates in surface area. While, BMI was negatively associated with cortical thickness, the significant associations between BMI and surface area or subcortical volumes were positive. Lastly, the brain correlates of obesity were replicated among large studies and closely resembled neurostructural changes in major depressive disorders. We confirmed widespread associations between BMI and brain structure in individuals with schizophrenia. People with both obesity and schizophrenia showed more pronounced brain alterations than people with only one of these conditions. Obesity appears to be a relevant factor which could account for heterogeneity of brain imaging findings and for differences in brain imaging outcomes among people with schizophrenia.

Amikacin pharmacokinetics in elderly patients with severe infections

ObjectiveThe aim of this study was to characterize the population pharmacokinetics of amikacin in elderly patients by means of nonlinear mixed effects modelling and to propose initial dosing schemes to optimize therapy based on PK/PD targets. MethodA total of 137 elderly patients from 65 to 94 years receiving intravenous amikacin and routine therapeutic drug monitoring at Hospital Universitario Severo Ochoa were included. Concentration–time data and clinical information were retrospectively collected; initial doses of amikacin ranged from 5.7 to 22.5 mg/kg/day and each patient provided between 1 and 10 samples. ResultsAmikacin pharmacokinetics were best described by a two-compartment open model; creatinine clearance (CrCL) was related to drug clearance (2.75 L/h/80 mL/min) and it was augmented 28% when non-steroidal anti-inflammatory drugs were concomitantly administered. Body mass index (BMI) influenced the central volume of distribution (17.4 L/25 kg/m2). Relative absolute prediction error was reduced from 33.2% (base model) to 17.9% (final model) when predictive performance was evaluated with a different group of elderly patients. A nomogram for initial amikacin dosage was developed and evaluated based on stochastic simulations considering final model to achieve PK/PD targets (Cmax/MIC>10 and AUC/MIC>75) and to avoid toxic threshold (Cmin<2.5 mg/L). ConclusionInitial dosing approach for amikacin was designed for elderly patients based on nonlinear mixed effects modeling to maximize the probability to attain efficacy and safety targets considering individual BMI and CrCL.

Interaction of MC4R rs17782313 variants and dietary carbohydrate quantity and quality on basal metabolic rate and general and central obesity in overweight/obese women: a cross-sectional study

BackgroundRecent studies have shown that dietary carbohydrate quantity and quality as well as genetic variants may contribute to determining the metabolic rate and general and central obesity. This study aimed to examine interactions between melanocortin 4 receptor gene (MC4R) rs17782313 and dietary carbohydrate intake, glycemic index (GI), and glycemic load (GL) on body mass index (BMI), waist circumferences (WC), basal metabolic rate (BMR), and BMR/kg in overweight/obese women.MethodsA total of 282 Iranian women (BMI ≥ 25) aged 18–56 years were enrolled in this cross-sectional study. All participants were assessed for blood parameters, body composition, BMR, and dietary intake. Dietary carbohydrate intake, GI, and GL were determined using a valid, reliable 147-item food frequency questionnaire. MC4R rs17782313 was genotyped by the restriction fragment length polymorphism (PCR-RFLP) method.ResultsAfter adjustment for age and energy intake, significant interactions were observed between carbohydrate intake and MC4R rs17782313 in terms of BMI (P Interaction = 0.007), WC (P Interaction = 0.02), and BMR/kg (P Interaction = 0.003) in this way that higher carbohydrate intake, compared with lower intake, was associated with an increase in BMI and WC for individuals with C allele carriers (TC + CC genotypes), while related to an increase in BMR/kg for those carrying the TT genotype. No significant interaction was found between MC4R rs17782313 and GI and GL on BMI, WC, BMR/kg, and BMR.ConclusionsInteractions between the MC4R rs17782313 and carbohydrate intake probably can have an effect on BMI, WC, and BMR/kg in overweight/obese women.

Can adult polygenic scores improve prediction of body mass index in childhood?

Modelling genetic pre-disposition may identify children at risk of obesity. However, most polygenic scores (PGSs) have been derived in adults, and lack validation during childhood. This study compared the utility of existing large-scale adult-derived PGSs to predict common anthropometric traits (body mass index (BMI), waist circumference, and body fat) in children and adults, and examined whether childhood BMI prediction could be improved by combining PGSs and non-genetic factors (maternal and earlier child BMI). Participants (n = 1365 children, and n = 2094 adults made up of their parents) were drawn from the Longitudinal Study of Australian Children. Children were weighed and measured every two years from 0-1 to 12-13 years, and adults were measured or self-reported measurements were obtained concurrently (average analysed). Participants were genotyped from blood or oral samples, and PGSs were derived based on published genome-wide association studies. We used linear regression to compare the relative utility of these PGSs to predict their respective traits at different ages. BMI PGSs explained up to 12% of child BMI z-score variance in 10-13 year olds, compared with up to 15% in adults. PGSs for waist circumference and body fat explained less variance (up to 8%). An interaction between BMI PGSs and puberty (p = 0.001-0.002) suggests the effect of some variants may differ across the life course. Individual BMI measures across childhood predicted 10-60% of the variance in BMI at 12-13 years, and maternal BMI and BMI PGS each added 1-9% above this. Adult-derived PGSs for BMI, particularly those derived by modelling between-variant interactions, may be useful for predicting BMI during adolescence with similar accuracy to that obtained in adulthood. The level of precision presented here to predict BMI during childhood may be relevant to public health, but is likely to be less useful for individual clinical purposes.

Body Fat Percentage and Normal-Weight Obesity in the Chinese Population: Development of a Simple Evaluation Indicator Using Anthropometric Measurements.

Few studies explore the associations between body fat percentage (BFP) prediction and evaluation indicators for Chinese with normal-weight obesity. We aimed to explore convenient and cost-free BFP evaluation indicators to routinely monitor BFP status in Chinese patients with normal-weight obesity. Participants (N = 164) were divided into three groups according to body mass index (BMI) and BFP: normal-weight lean, normal-weight obese, and overweight and obese. Differences in body composition and circumference were compared to examine the relationship between BFP and circumference, determine a simple evaluation indicator reflecting BFP, and identify cutoff values for normal-weight obesity circumference. Significant differences in body composition and circumference were observed among the three groups. The correlation between thigh/height, hip/height, (hip + waist)/height, and BFP was stronger than that with BMI. The (hip + waist)/height ratio was the indicator most reflective of BFP (95% confidence interval: 3.004–9.018, p = 0.013), and a ratio above 1.115 (95% confidence interval: 0.936–0.992, p < 0.001) was predictive of normal-weight obesity. Furthermore, we suggest that the upper value for a normal BMI in Chinese individuals be lowered to 23.4 kg/m2 (95% confidence interval: 0.984–0.999, p < 0.001). The (hip + waist)/height ratio can be used with body mass index for a more accurate evaluations of BFP abnormalities and health risks.

A Single Axial Slice of the Sternocleidomastoids and Paravertebral Muscles Associated with Worse Local Progression-Free Survival and Severe Toxicity in Sarcopenic Head and Neck Cancer Patients Undergoing Radiotherapy

ObjectiveThe objective of this study is to contrast the predictive ability of targeted muscle groups as radiographic proxies of sarcopenia on computerized tomography (CT) with body mass index (BMI) in head and neck cancer patients (H&NCP) undergoing radiation at a safety net hospital, and to evaluate sarcopenia with survival, local progression, toxicities and treatment delays.MethodsA retrospective review included 52 H&NCP treated between 2017-2019. The posterior neck muscles (PN), sternocleidomastoids (SCM), and their summed volume (AM) were contoured at C3 on patients’ pre-treatment CT scans, then normalized to obtain skeletal muscle index (MI) values. Pre-treatment BMI was also evaluated. Cutoffs for sarcopenia were determined by receiver operating characteristic curves. Overall survival and local recurrence-free survival were evaluated by Kaplan-Meier. Acute grade 3 or higher toxicities were evaluated by binomial logistic regression.ResultsUsing all neck muscles (AM-MI) produced the best model for predicting outcomes, outperforming individual muscle groups and BMI. Local progression-free survival was worse in sarcopenic patients at 25.81 months versus 35.40 months (p=0.026). Acute grade 3 or higher toxicities were associated with sarcopenia (p=0.005).ConclusionsIn this small, retrospective single-institution experience at a safety net hospital, a single axial slice of the combined sternocleidomastoids and paravertebral muscles at C3 performed better than either muscle group alone or pre-treatment BMI at predicting oncologic outcomes.

Adolescent Body Mass Index and Exposure to Peers with Overweight and Obesity: A Structural Equation Model Approach to Longitudinal Network Data.

Purpose: Considerable evidence has shown that social networks influence a wide variety of health behaviors. This study investigates whether having friends with overweight/obesity in one's social network (network exposure) can predict changes in body mass index (BMI) throughout high school in a diverse urban population of students. Methods: Racially and ethnically diverse students from five high schools in Los Angeles County were surveyed at four time points throughout high school from 2010 to 2013 (N = 2091). Surveys included questions on students' social networks, demographics, and health-related information. BMI and weight categories were calculated for all students who provided height and weight information (∼50%). A latent growth curve model was used to assess the growth trajectory of BMI and the time-varying effect of network exposure to friends with overweight/obesity while controlling for demographic covariates. Results: Hispanic students had a significantly higher initial BMI compared with non-Hispanic students (p < 0.01). There was a significant positive slope for time on BMI growth (p < 0.01). Greater personal network exposure to friends with overweight/obesity was associated with a significant 0.65-point average increase in BMI (p < 0.05) at the first follow-up time point (T2) and a significant 0.62-point average increase in BMI (p < 0.01) at the last follow-up (T4) while controlling for covariates. Conclusions: Using structural equation modeling to understand the relationship between BMI and social networks, we found that increased network exposure to peers with overweight/obesity is associated with higher individual BMI, demonstrating that friendships may influence adolescents' weight status over time.

Heterogeneity of abdominal obesity in patients with cardiovascular diseases

Aim: To assess the content of visceral adipose tissue (VAT) in patients with abdominal obesity and its relationship with metabolic disorders.Material and methods. Patients with abdominal obesity (n=107) were included in the study. All participants had an assessment of anthropometric parameters (height, weight), calculation of body mass index (BMI), proportion of total adipose tissue and VAT (bioimpedance analyzer), high-density lipoprotein cholesterol (HDL-c) levels, triglycerides, fasting blood glucose, epicardial thickness adipose tissue (two-dimensional echocardiography).Results. The median share of VAT (bioimpedance method) was 13%. Patients with abdominal obesity are divided by VAT into 2 groups: ≥14% or ≤13%. Patients with VAT≥14% had significantly higher levels of triglycerides (1.76 [1.27; 2.38] mmol / L) and glucose (6.33 [5.78; 7.87] mmol / L), and below HDL-c levels (0.95 [0.85; 1.21] mmol / L) compared with patients with VAT≤13% (1.32 [1.02; 1.50], 5.59 [5, 11; 6.16] and 1.31 [1.07; 1.58] mmol / L, respectively; p&lt;0.001 for all three comparisons). A significant correlation was found between VAT and triglyceride, glucose and HDL-c levels (r=0.40; r=0.40; r=-0.31, respectively; p&lt;0.001).Conclusion. Persons with abdominal obesity are heterogeneous in the proportion of VAT. The proportion of VAT above the median is associated with metabolic disorders that are significant for the development and progression of atherosclerosis. An increase in BMI in obese individuals is not associated with an increase in VAT and an increase in the severity of metabolic disorders.

Is overweight still a problem of rich in sub-Saharan Africa? Insights based on female-oriented demographic and health surveys

To most people, sub-Saharan Africa (SSA) is synonymous with hunger and starvation. However, overweight and obesity are currently also a major public health concern in this region, sometimes even more than the prevalence of underweight. Despite the significant increase in the average body mass index (BMI) in SSA, the existing literature still considers a positive association between household socioeconomic status (SES) and individual BMI, suggesting that excess weight is a symbol of wealth while thinness is linked to poverty. This article aims to update this traditional and probably outdated perception by investigating potential nonlinearities and heterogeneity in the relationship between SES and BMI in SSA. First, we pool several cross-sectional female adult-oriented demographic and health surveys that are representative of a large number of SSA countries from 1990 to 2019. Second, we implement both ordinary least-squares (OLS) and instrumental variables (IV) regressions. Once a comprehensive set of observed characteristics was controlled for, OLS estimates suggest a nonlinear association between SES indicators and female BMI, taking a U-inverted shape. IV corrections controlling for reverse causality and unobserved heterogeneity reveal similar trends, confirming the overrepresentation of excess weight in intermediate levels of wealth and education. Furthermore, this study dates the social shift of the obesity burden in SSA: changing from positive to curvilinear from the end of the 1990s, including for countries currently classified as lower middle income. To conclude, this article contributes to the literature demonstrating the ongoing nutrition transition in SSA and the role of an emergent middle class in the rise of the obesity epidemic. This result has important implications for public health policies.

Association between neighborhood health behaviors and body mass index in Northern Norway: evidence from the Tromsø Study.

The prevalence of overweight and obesity has risen rapidly worldwide, and the ongoing obesity pandemic is one of the most severe public health concerns in modern society. The average body mass index (BMI) of people living in Northern Norway has also steadily increased since the late 1970s. This study aimed to understand how individuals' health behavior is associated with the general health behavior of the people in their neighborhood. Using the population-based Tromsø Study, we examined the life course association between average leisure time physical activity at the neighborhood level and the BMI of individuals living in the same neighborhood. We used a longitudinal dataset following 25,604 individuals living in 33 neighborhoods and performed a linear mixed-effects analysis. The results showed that participants living in neighborhoods whose residents were more physically active during their leisure time, were likely to have a significantly lower BMI (-0.9 kg/m², 95% CI -1.5 to -0.4). Also, individuals living in neighborhoods whose residents were doing mainly manual work, had significantly higher BMIs (0.7 kg/m², 95% CI 0.4-1.0). Our results showed a strong association between the average leisure time physical activity level of neighborhood residents and the higher BMI levels of residents of the same neighborhood.

Alterações no índice de massa corporal: Coorte em indivíduos em uso de dolutegravir

Goal: To assess body mass index (BMI) changes in people living with HIV (PLHIV) and using antiretroviral therapy (ART) with dolutegravir (DTG) and its associated factors. Methods: Retrospective and prospective cohorts of PLHIV who started ART with DTG or used DTG after changing the therapeutic regimen, from Belo Horizonte, between February/2017 and March/2020. Data were gathered from clinical records of the Drug Logistics and Laboratory Test Control Systems. BMI changes were analyzed in the following week intervals 1-24(t24), 25-48(t48), 49-72(t73), and 73-96(t96) using the Wilcoxon test and generalized estimation equation (GEE) model, at 5% significance level. Results: A total of 614 individuals were included and average was 38.4 years old. Most were men (85.5%) and 52.3% had started ART with DTG. These individuals, and the immunosuppressed ones, showed significant increases in BMI when compared to those who used DTG after switching therapeutics or the non-immunosuppressed ones (p-value &lt;0.05). After 96 weeks, individuals starting ART with DTG had a mean increase in BMI of 1.02 Kg/m2, whereas those who used DTG after the therapeutic change had an increase of 0.56 Kg/m2 (p&lt;0.05). DTG use length, ART type, immune status, baseline BMI, and age were associated (p&lt;0.05) with BMI increases. Conclusions: We observed an increase in BMI both in individuals starting ART with DTG use and those using it after changing the therapeutic regimen.

Association between obesity and the aggravation of limited range of ankle mobility in chronic venous disease.

The aim of the present study was to show that an increase in weight leads to the aggravation of limited joint mobility. One hundred sixteen patients with varicose veins of the lower limbs and body mass index (BMI) higher than 30kg/m2 were evaluated at the Belczak Clinic in Maringá, Brazil. All patients were evaluated by the same physician, and the goniometric readings were performed on all patients by a physiotherapist. The participants were then divided into three groups based on BMI: Group I-BMI between 30 and 40. Group II-BMI between 40 and 50, and Group III-BMI > 50. There is a significant difference between the groups detected. The present findings show that an increased BMI in obese individuals with chronic venous disease is associated with a progressive limitation of ankle mobility.

Faecal miRNA profiles associated with age, sex, BMI, and lifestyle habits in healthy individuals

For their stability and detectability faecal microRNAs represent promising molecules with potential clinical interest as non-invasive diagnostic and prognostic biomarkers. However, there is no evidence on how stool miRNA profiles change according to an individual’s age, sex, and body mass index (BMI) or how lifestyle habits influence the expression levels of these molecules. We explored the relationship between the stool miRNA levels and common traits (sex, age, BMI, and menopausal status) or lifestyle habits (physical activity, smoking status, coffee, and alcohol consumption) as derived by a self-reported questionnaire, using small RNA-sequencing data of samples from 335 healthy subjects. We detected 151 differentially expressed miRNAs associated with one variable and 52 associated with at least two. Differences in miR-638 levels were associated with age, sex, BMI, and smoking status. The highest number of differentially expressed miRNAs was associated with BMI (n = 92) and smoking status (n = 84), with several miRNAs shared between them. Functional enrichment analyses revealed the involvement of the miRNA target genes in pathways coherent with the analysed variables. Our findings suggest that miRNA profiles in stool may reflect common traits and lifestyle habits and should be considered in relation to disease and association studies based on faecal miRNA expression.

The implications of self-reported body weight and height for measurement error in BMI

We designed an experiment to explore the extent of measurement error in body mass index (BMI), when based on self-reported body weight and height. We find that there is a systematic age gradient in the reporting error in BMI, while there is limited evidence of systematic associations with gender, education and income. This is reassuring evidence for the use of self-reported BMI in studies that use it as an outcome, for example, to analyse socioeconomic gradients in obesity. However, our results suggest a complex structure of non-classical measurement error in BMI, depending on both individuals’ and within-household peers’ true BMI. This may bias studies that use BMI based on self-reported data as a regressor. We also observe non-classical reporting error in height and weight — taller people seem to report their height more accurately, while a nonlinear relationship is evident for weight, with a sharper increase in reporting errors for those of greater weight. Common methods to mitigate reporting error in BMI using predictions from corrective equations do not fully eliminate reporting heterogeneity associated with individual and within-household true BMI. Overall, the presence of non-classical error in BMI highlights the importance of collecting measured body weight and height data in large social science datasets.