Obese Body Mass Index Categories Research Articles

Association of Body Composition Changes with the Development of Diabetes Mellitus: A Nation-Wide Population Study.

We investigated the association between body composition changes and new-onset diabetes mellitus (DM) development according to the body mass index (BMI) in a longitudinal setting in the general Korean population. From 2010 to 2011 (1st) and 2012 to 2013 (2nd), we included 1,607,508 stratified random sample participants without DM from the National Health Insurance Service-Health Screening dataset of Korean. The predicted appendicular skeletal muscle mass index (pASMMI), body fat mass index (pBFMI), and lean body mass index (pLBMI) were calculated using pre-validated anthropometric prediction equations. A prediction equation was constructed by combining age, weight, height, waist circumference, serum creatinine levels, alcohol consumption status, physical activity, and smoking history as variables affecting body composition. Decreased pASMMI (men: hazard ratio [HR], 0.866; 95% confidence interval [CI], 0.830 to 0.903; P<0.001; women: HR, 0.748; 95% CI, 0.635 to 0.881; P<0.001), decreased pLBMI (men: HR, 0.931; 95% CI, 0.912 to 0.952; P<0.001; women: HR, 0.906; 95% CI, 0.856 to 0.959; P=0.007), and increased pBFMI (men: HR, 1.073; 95% CI, 1.050 to 1.096; P<0.001; women: HR, 1.114; 95% CI, 1.047 to 1.186; P=0.007) correlated with the development of new-onset DM. Notably, only in the overweight and obese BMI categories, decreases in pASMMI and pLBMI and increases in pBFMI associated with new-onset DM, regardless of gender. Decreased pASMMI and pLBMI, and increased pBFMI with excess fat accumulation may enhance the risk of newonset DM. Therefore, appropriate changes in body composition can help prevent new-onset DM.

Social support for exercise from pregnancy to postpartum and the potential impact of a mobile application: A randomized control pilot trial in Southern United States

This study compared perceived social support among women of all body mass index (BMI) categories with an attempt to assess the efficacy of the BumptUp® mobile application to improve social support for exercise during pregnancy and postpartum. Thirty-five pregnant women living in Southern United States were included in the sample. The intervention group received access to the BumptUp® mobile application that was designed to promote physical activity during pregnancy and postpartum. The control group received an evidence-based educational brochure. Perceived social support for exercise was assessed at four-time points using the social support and exercise survey. Outcomes were evaluated at 23–25, 35–37 gestational weeks, and 6 and 12 weeks postpartum. Based on their pre-pregnancy weight and height, BMI was computed to categorize participants into lean, overweight, and obese groups. Social support across BMI categories and between control and intervention groups were compared using linear mixed-effect models. Women grouped in the overweight and obese BMI categories reported receiving significantly lower levels of social support for exercise than women in the lean category throughout pregnancy and postpartum during mid-pregnancy, late pregnancy, and at 12 weeks postpartum (p < 0.05). Although the intervention group received higher social support than the control group throughout all four assessment points, the difference was not statistically significant (p > 0.05). Women with a pre-pregnancy BMI of overweight and obese received lower social support for exercise during pregnancy and postpartum. The efficacy of BumptUp® to improve perceived social support for exercise in pregnancy and postpartum was not evident in the results.

Impact of tumor necrosis factor antagonist combination and anti-integrin therapies on body mass index in inflammatory bowel disease: A cross-sectional study.

The impact of biologic therapies on body mass index (BMI) in patients with inflammatory bowel disease (IBD) is unclear. This study investigates any associations between BMI, type of IBD, and the type of medications taken among patients with IBD with varying weight categories. A cross sectional study was performed in an IBD tertiary care center. Data was obtained from patients with IBD attending outpatient clinics from January 1st, 2021 until November 1st, 2021. Adult patients, older than 18 years, with a diagnosis of Crohn's disease (CD) or ulcerative colitis (UC) were recruited. The primary outcome was the association between BMI and medication used in IBD. The secondary outcome was the association between BMI and disease type and location in patients with IBD. The study included a total of 528 patients of which, 66.5% have CD. Patients with normal weight comprises 55.9% of the participants, while those who are underweight, overweight or obese are 3.4, 28.2, and 12.5%, respectively. None of the underweight patients had UC. Among the normal weight, overweight and obese BMI categories, 34.6% vs. 36.2% vs. 31.8% had UC, respectively. Patients who are on tumor necrosis factor inhibitors (anti-TNF) with an immunomodulator (anti-TNF combination), are more likely to be overweight or obese than patients who are not on anti-TNF combination (OR 2.86, 95% CI 1.739-4.711, p < 0.001). Patients on vedolizumab are twice as likely to be overweight or obese than patients not on vedolizumab (OR 2.23, 95% CI 1.086-4.584, p < 0.05). Patients with ileocolonic CD are more likely to be overweight or obese compared to other subtypes of CD (OR 1.78, 95% CI 1.14-2.77, p = 0.01). Many patients with IBD are either obese or overweight. Patients with IBD who are on anti-TNF combination therapy or vedolizumab monotherapy are more likely to be obese and overweight. In addition, patients will ileocolonic CD are more likely to be obese or overweight.

Alcohol use, physical activity, and muscle strength moderate the relationship between body composition and frailty risk among people living with HIV.

Antiretroviral therapy has improved life expectancy among people living with HIV (PLWH). Despite increased longevity, PLWH are at increased risk of age-related comorbidities, including frailty. We examined the relationship between body composition and frailty among PLWH, and moderation of this relationship by substance use, physical activity (PA), and physical function. Participants (n= 341; 71% male, 48 ± 10 years, body mass index (BMI)=27.3 ± 7.0 kg/m2 ) enrolled in the New Orleans Alcohol Use in HIV (NOAH) study underwent measures of body composition, muscle strength, and gait speed. Whole blood phosphatidylethanol (PEth) was measured, and substance use and PA were self-reported. Frailty risk measures included the 58-Item Deficit Index (DI58) and the Veterans Aging Cohort Study (VACS) Index 1.0, where higher scores indicate greater frailty risk. Multivariable linear regression adjusted for age, sex, and race showed that higher fat-free mass index (FFMI), body fat (%), waist-to-hip ratio, and body mass index (BMI) ≥ 25.0 kg/m2 vs. < 25.0 kg/m2 were significantly (p< 0.05) associated with decreased frailty risk measured by the VACS Index, whereas adjusted analyses showed no association between body composition variables and the DI58 score. Recent alcohol use, muscle strength, and PA, but not lifetime alcohol use or gait speed, significantly moderated associations between body composition variables and frailty risk with medium-to-large effect sizes. Subgroup analyses revealed a negative relationship between DI58 and FFMI among people with PEth>8 ng/ml and negative relationships of VACS Index with FFMI and WHR in people with lower muscle strength. Overweight or obese BMI categories were positively associated with DI58 in people with lower muscle strength or higher PA level but negatively associated in those with higher muscle strength. Our findings indicate that body composition has significant modulatory effects on frailty risk in PLWH, where obesity increases the risk of frailty and greater muscle mass may be protective, even in individuals who use alcohol. These results highlight the importance of considering body composition, physical activity, and physical function in assessing frailty risk in PLWH, particularly among individuals who use alcohol. Moreover, they support the implementation of physical activity interventions to ameliorate the risk of frailty in aging PLWH.

Psychometric properties of the 26-item eating attitudes test (EAT-26): an application of rasch analysis

BackgroundThe 26-item Eating Attitudes Test (EAT-26) is a commonly used tool to assess eating disorder risk. The purpose of this study was to examine the psychometric properties of the EAT-26 with a combined sample: (1) of adults with overweight and obesity enrolled in a behavioral weight loss program and (2) general adult sample (n = 469; age = 36.17 ± 17.83 years; female = 72.5%; white = 66.3%; obese BMI category = 58%).MethodsRasch modeling was used to assess model-data fit, create an item-person map to evaluate relative distribution items and persons, item difficulty, and person’s eating disorder (ED) risk level of the EAT-26. Differential item functioning (DIF) and rating scale functioning of the EAT-26 were also evaluated using Rasch analysis.ResultsA total of 7 misfit items were removed from the final analysis due to unacceptable Infit and Outfit mean square residual values. The item-person map showed that the items were biased toward participants with moderate to high levels of ED risk and did not cover those who had low risk for having an ED (< − 1 logits). The DIF analyses results showed that none of the items functioned differently across sex, but 5 items were flagged based on obesity status. The six-category Likert-type rating scale did not function well indicating a different response format may be needed.ConclusionSeveral concerns were identified with the psychometric evaluation of the EAT-26 that may question its utility in assessing ED risk in individuals at low risk for ED, within samples of people who have overweight and obesity seeking weight loss treatment.Plain English SummaryThe 26-item Eating Attitudes Test is a self-rated measure of eating attitudes that measures symptoms and concerns of eating disorders (ED). Very little is known about how this instrument performs differently based on individual factors like body mass index (BMI) and sex (male/female). We used an advanced measurement theory (i.e., Rasch analysis) to determine if the EAT-26 is an adequate measure to detect disordered eating in men and women of different BMIs. Results indicated that the EAT-26 was biased toward participants with moderate to high levels of disordered eating risk and did not adequately detect individuals at low risk for disordered eating. The EAT-26 did not function differently based on sex (male/female). However, five questions did function differently based on obesity status (those without obesity/ those with obesity). Finally, we observed the six-category rating scale did not function appropriately and that a new response format may be warranted. In sum, there were several issues (e.g., poor rating scale and different item functioning) with the EAT-26 and future work should develop screening tools that detect low risk of disordered eating as well as function well in adults with overweight and obesity.

Body image concerns in patients with persecutory delusions.

Persecutory fears build on feelings of vulnerability that arise from negative views of the self. Body image concerns have the potential to be a powerful driver of feelings of vulnerability. Body image concerns are likely raised in patients with psychosis given the frequent weight gain. We examined for the first-time body esteem - the self-evaluation of appearance - in relation to symptom and psychological correlates in patients with current persecutory delusions. One-hundred and fifteen patients with persecutory delusions in the context of non-affective psychosis completed assessments of body image, self-esteem, body mass index (BMI), psychiatric symptoms and well-being. Body esteem was also assessed in 200 individuals from the general population. Levels of body esteem were much lower in patients with psychosis than non-clinical controls (d = 1.2, p < 0.001). In patients, body esteem was lower in women than men, and in the overweight or obese BMI categories than the normal weight range. Body image concerns were associated with higher levels of depression (r = -0.55, p < 0.001), negative self-beliefs (r = -0.52, p < 0.001), paranoia (r = -0.25, p = 0.006) and hallucinations (r = -0.21, p = 0.025). Body image concerns were associated with lower levels of psychological wellbeing (r = 0.41, p < 0.001), positive self-beliefs (r = 0.40, p < 0.001), quality of life (r = 0.23, p = 0.015) and overall health (r = 0.31, p = 0.001). Patients with current persecutory delusions have low body esteem. Body image concerns are associated with poorer physical and mental health, including more severe psychotic experiences. Improving body image for patients with psychosis is a plausible target of intervention, with the potential to result in a wide range of benefits.

Elevated Body Mass Index in Donor Oocyte Recipients Does Not Affect Implantation of Euploid Embryos.

Background: Obesity is a worldwide epidemic that has been shown to have serious implications on health outcomes. Regarding reproductive health, increased body mass index (BMI) reduces fertility and increases the time to conceive. It is unclear how excess weight in females affects the development of oocytes and embryos or the impact of implantation. Materials and Methods: This retrospective single-center study aimed to determine if overweight and obese oocyte recipients had similar pregnancy outcomes compared with healthy weight controls after the transfer of a single euploid frozen-thawed embryo transfer (FET). Five hundred twenty-eight patients who underwent a transfer from 2016 to 2021 were included. The primary outcome studied was the clinical pregnancy (CP) rate. Secondary outcomes included live birth (LB) rate, biochemical pregnancy loss (BPL) rate, and clinical pregnancy loss (CPL) rate. Results: The overall CP rate was 54.9% and did not differ significantly among normal weight (n = 318), overweight (n = 129), and obese (n = 81) BMI categories (0.56 vs. 0.56 vs. 0.49, p = 0.56). There were no significant differences in LB rate (0.47 vs. 0.43 vs. 0.38, p = 0.33), BPL rate (0.14 vs. 0.09 vs. 0.11, p = 0.59), and CPL rate (0.15 vs. 0.21 vs. 0.18, p = 0.38) among BMI groups. Conclusions: Our findings provide support that BMI alone does not adversely alter endometrial receptivity and is not the cause of poor in vitro fertilization (IVF) outcomes in patients with increased BMI. These deleterious IVF outcomes might be to the result of diminished oocyte and/or embryo quality or other factors that have not yet been elucidated.

Association of BMI with pulmonary function, functional capacity, symptoms, and quality of life in ILD

Obesity is a health epidemic associated with greater morbidity and mortality in the general population. Mass loading of the thorax from obesity leads to a restrictive pulmonary defect that reduces lung capacity in obese individuals without pulmonary disease, and may exacerbate the restrictive pulmonary physiology that is characteristic of interstitial lung disease (ILD). The purpose of this study was to test the association of body mass index (BMI) with pulmonary function, functional capacity, and patient-reported outcomes (dyspnea and quality of life) in patients with ILD. We analyzed 3169 patients with fibrotic ILD from the Canadian Registry for Pulmonary Fibrosis. Patients were subcategorized as underweight (BMI<18.5 kg/m2), normal weight (18.5≤BMI<25), overweight (25≤BMI<30), obese I (30≤BMI<35), obese II (35≤BMI<40), and obese III (BMI>40). Analysis was performed using a linear regression with adjustment for common prognostic variables. Overweight and obese BMI categories were associated with worse pulmonary function, functional capacity, dyspnea, and quality of life compared to normal weight. This is likely a result of mass loading on the thorax, and we speculate that intentional weight-loss may improve lung function and functional capacity in obese patients with fibrotic ILD. The underweight BMI category was also associated with worse functional capacity compared to normal weight, which may reflect greater disease severity or the presence of other comorbidities. Future work should explore the clinical utility of BMI to improve patient outcomes.

Weight-Normative versus Weight-Inclusive Narratives in Weight-Related Public Health Campaigns: Effects on Anti-Fat Attitudes, Stigma, Motivation, and Self-Efficacy

Research has shown that weight-related public health campaigns can inadvertently stigmatise individuals with obesity. We compared the effects of weight-normative (personal responsibility and public health crisis) versus weight-inclusive (Health at Every Size [HAES] and fat acceptance) campaign narratives on anti-fat attitudes and reactions to campaigns in two studies. In study 1, participants (n = 283) from a range of Body Mass Index (BMI) categories viewed one of four mock campaigns before rating their anti-fat-attitudes (dislike, fear of fat, willpower, social distance), and reactions to the campaign (motivation, stigma). In study 2, participants (n = 175) in overweight or obese BMI categories viewed one of four mock campaigns before rating their reactions to the campaign (motivation, stigma, self-efficacy). Study 1 results showed that weight-normative campaigns were perceived as significantly more stigmatising than weight-inclusive ones. However, weight-inclusive campaigns did not decrease anti-fat attitudes or increase motivation for health behaviour change in this sample. Similarly, study 2 results showed that the personal responsibility campaign was rated as significantly more stigmatising than other campaigns among women with overweight or obesity. Fat acceptance was rated as the least stigmatising campaign in this sample, but weight-inclusive narratives did not increase motivation or self-efficacy for health behaviour change. Future research should focus on developing campaign narratives that are non-stigmatising, motivating, and efficacious by addressing health behavior benefits irrespective of sex or weight.

Parents\u2019 perceptions of their child\u2019s weight among children in their first year of primary school: a mixed-methods analysis of an Australian cross-sectional (complete enumeration) study

Background/ObjectivesTo describe trends in overweight/obesity in early childhood for all children and those whose parents are concerned about their weight. To describe parents’ perceptions of their child’s weight and differences by their child’s anthropometric and sociodemographic factors.Subjects/MethodsAnalysis of the Kindergarten Health Check, a survey of all children enrolled in their first year of primary education in the Australian Capital Territory. Analysis of detailed data for 2014–2017, including qualitative analysis of parents’ comments on weight, and trends for 2001–2017.Results71,963 children participated in the survey between 2001 and 2017 (20,427 between 2014 and 2017). The average age of children (2001–2017) was 5 years and 9.6 months at the time of their physical health check. 2377 children (3.5%) were classified as obese based on measured body mass index (BMI) between 2001 and 2017, and a further 7766 (11.6%) overweight. Similar proportions were seen for 2014–2017. Among children with overweight/obesity in 2014–2017, 86.4% of parents (2479/2868) described their children’s weight as healthy and 13.3% (382/2868) as overweight/obese. Just 11.5% (339/2946) of parents whose children were later measured with overweight/obesity identified having a concern about their child’s weight.Parental comments varied widely and were often incongruent with the known health risks associated with their child’s measured BMI. Comments from parents whose children were measured as obese often were normalising e.g., “born big, always big. Definitely NOT overweight, just bigger all over”, whilst parents of children in the healthy range expressed concerns about underweight.ConclusionParents do not accurately perceive their child’s weight and few document concerns, even among children measuring in the obese BMI category. This lack of concern makes early interventions challenging as parents are in the “pre-contemplative” stage of behaviour change and may see public health campaigns or clinicians’ attempts to address their child’s weight as irrelevant or unhelpful.

Hypertension and Socioeconomic Status in South Central Uganda: A Population-Based Cohort Study.

Background:Limited studies exploring the impact of socioeconomic status (SES) on hypertension in Africa suggest a positive association between higher SES and hypertension. The economic development in sub-Saharan African countries has led to changes in SES and associated changes in lifestyle, diet, and physical activity, which may affect the relationship between hypertension and SES differently compared with higher income countries. This cross-sectional study from a large population-based cohort, the Rakai Community Cohort Study (RCCS), examines SES, hypertension prevalence, and associated risk factors in the rural Rakai Region in south-central Uganda.Methods:Adults aged 30–49 years residing in 41 RCCS fishing, trading, and agrarian communities, were surveyed with biometric data obtained between 2016 and 2018. The primary outcome was hypertension (systolic blood pressure (BP) ≥ 130 mmHg or diastolic BP ≥ 80 mmHg). Modified Poisson regression assessed the adjusted prevalence ratios (PR) of hypertension associated with SES; body mass index (BMI) was explored as a potential mediator.Results:Among 9,654 adults, 20.8% had hypertension (males 21.2%; females 20.4 %). Participants with hypertension were older (39.0 ± 6.0 vs. 37.8 ± 5.0; p < 0.001). Higher SES was associated with overweight or obese BMI categories (p < 0.001). In the multivariable model, hypertension was associated with the highest SES category (aPR 1.23; confidence interval 1.09–1.38; p = 0.001), older age, male sex, alcohol use, and living in fishing communities and inversely associated with smoking and positive HIV serostatus. When BMI was included in the model, there was no association between SES and hypertension (aPR 1.02; CI 0.90–1.15, p = 0.76).Conclusion:Hypertension is common in rural Uganda among individuals with higher SES and appears to be mediated by BMI. Targeted interventions could focus on lifestyle modification among highest-risk groups to optimize public health impact.Key Messages What is already known about this subject? Hypertension is an important modifiable risk factor for cardiovascular disease.There are few large epidemiological studies that investigate the relationship between hypertension and socioeconomic status in low-income countries. What are the new findings? Hypertension is common among adults in rural South–Central Uganda, particularly among those with higher socioeconomic status.BMI is a mediator of the relationship between hypertension and socioeconomic status. How might it impact on clinical practice in the foreseeable future? These findings suggest that public health interventions and community efforts to prevent chronic cardiovascular disease and hypertension should focus on lifestyle modification by elucidating obesity risk perception and health risk awareness, particularly among those of higher socioeconomic status.

Impact of Obesity on Heart Transplantation Outcomes.

BackgroundPatients with obesity and advanced heart failure face unique challenges on the path to heart transplantation. There are limited data on waitlist and transplantation outcomes in this population. We aimed to evaluate the impact of obesity on heart transplantation outcomes, and to investigate the effects of the new organ procurement and transplantation network allocation system in this population.Methods and ResultsThis cohort study of adult patients listed for heart transplant used the United Network for Organ Sharing database from January 2006 to June 2020. Patients were stratified by body mass index (BMI) (18.5–24.9, 25–29.9, 30–34.9, 35–39.9, and 40–55 kg/m2). Recipient characteristics and donor characteristics were analyzed. Outcomes analyzed included transplantation, waitlist death, and posttransplant death. BMI 18.5 to 24.9 kg/m2 was used as the reference compared with progressive BMI categories. There were 46 645 patients listed for transplantation. Patients in higher BMI categories were less likely to be transplanted. The lowest likelihood of transplantation was in the highest BMI category, 40 to 55 kg/m2 (hazard ratio [HR], 0.19 [0.05–0.76]; P=0.02). Patients within the 2 highest BMI categories had higher risk of posttransplantation death (HR, 1.29; P<0.001 and HR, 1.65; P<0.001, respectively). Left ventricular assist devices among patients in obese BMI categories decreased after the allocation system change (P<0.001, all). After the change, patients with obesity were more likely to undergo transplantation (BMI 30–35 kg/m2: HR, 1.31 [1.18–1.46], P<0.001; BMI 35–55 kg/m2: HR, 1.29 [1.06–1.58]; P=0.01).ConclusionsThere was an inverse relationship between BMI and likelihood of heart transplantation. Higher BMI was associated with increased risk of posttransplant mortality. Patients with obesity were more likely to undergo transplantation under the revised allocation system.

Associations between Body Mass Index in Hemodialysis Patients and Comorbidity, Dialysis Adequacy, Blood Pressure Control, Vascular Access Type, and Hospital Admission Rate.

Higher body mass index (BMI) is associated with various comorbidities. In hemodialysis (HD) patients, BMI affects dialysis adequacy and blood pressure (BP) control and is associated with serious comorbidities. This is a cross-sectional observational study that took place at King Abdulaziz Medical City, Riyadh, Saudi Arabia. A total of 262 adult patients on HD for at least six months were recruited to this study. Chart review was used to retrospectively collect patients' data. Categorical variables were compared using Chi-square test of proportions, whereas analysis of variance was used between categorical and continuous variables. P <0.05 was considered statistically significant. Only 17 (6.5%) patients were underweight, 90 (34.4%) had normal weight, 65 (24.8%) were overweight, and 90 (34.4%) were obese. Diabetes mellitus was the most common cause of chronic kidney disease. A significant relationship was found between BMI and dialysis adequacy (P = 0.004) with 54 (60%) obese patients having inadequate dialysis. The mean postdialysis systolic BP was the lowest in the obese BMI category (129.71 ± 18.38 mmHg, P = 0.037). The obese category scored least on the Charlson Comorbidity Index (CCI) reflecting lower risk of mortality than the other three BMI categories. Despite having the lowest overall rate of hospitalization in the previous 12 months, obese patients had higher rates of hospitalization from sepsis compared to the other three groups (P = 0.048). Despite having reduced dialysis adequacy, obese HD patients scored less on CCI, had better postdialysis BP, and had fewer hospital admissions in the previous 12 months compared to the other BMI groups. These findings distinctly contrast with what is seen among obese persons in the general population.

Urinary incontinence in young women: Risk factors, management strategies, help-seeking behavior, and perceptions about bladder control.

The aim was to describe the characteristics of young adult women who report urinary incontinence (UI), the types of UI they experience, the strategies they use or consider important for managing UI, and help-seeking behavior. Data were from the 1989-1995 Australian Longitudinal Study on Women's Health cohort (n = 8457) at age 22 to 27 (in 2017). Descriptive statistics were used to summarize: characteristics of young women who experience UI; the types of UI they experience; which strategies women use to manage UI; perceptions of bladder control; and the proportion of women who seek help (and reasons why not). Prevalence ratios for UI according to sample characteristics were calculated using Poisson regression models. At age 22 to 27, 11% (n = 986) of young women reported UI in the past month. Compared with women who did not have UI, those reporting UI were 7 kg heavier on average and were more likely to be in the obese body mass index category, report high psychological distress, and have at least one child. Most women with UI reported mixed symptoms of UI (stress and urge), and used a combination of strategies to self-manage UI symptoms. Only one in five women had sought help or advice from a healthcare professional. Obesity, parity, and high psychological distress are strong correlates of UI in young women. As the majority of women with UI do not seek help, the antenatal period may be a critical time for healthcare providers to identify those at risk, and encourage early prevention or effective management strategies. As physical activity is positively associated with better outcomes for obesity and psychological distress, there may also be concurrent improvements in UI if these issues are addressed.

Utility of Liver Function Tests and Fatty Liver Index to Categorize Metabolic Phenotypes in a Mediterranean Population.

The aim of this study was to analyze the utility of liver function tests (LFT) and fatty liver index (FLI), a surrogate marker of non-alcoholic fatty liver disease, in the categorization of metabolic phenotypes in a Mediterranean population. A cross-sectional study was performed on a random representative sample of 2233 adults assigned to a health center in Málaga, Spain. The metabolic phenotypes were determined based on body mass index (BMI) categorization and the presence or absence of two or more cardiometabolic abnormalities (high blood pressure, low high-density lipoprotein (HDL) cholesterol, hypertriglyceridemia, pre-diabetes) or type 2 diabetes. No difference was observed between metabolically healthy and metabolically abnormal phenotypes on LFT. The mean FLI of the population was 41.1 ± 28.6. FLI was significantly higher (p < 0.001) in the metabolically abnormal phenotypes in all BMI categories. The proportion of individuals with pathological FLI (≥60) was significantly higher in the metabolically abnormal overweight and obese phenotypes (p < 0.001). On a multivariate model adjusted for sex, age, and waist circumference, a significant correlation was found between pathological FLI and metabolically abnormal phenotypes in the overweight and obese BMI categories. Area under the curve (AUC) of FLI as a biomarker was 0.76, 0.74, and 0.72 for the metabolically abnormal normal-weight, overweight, and obese groups, respectively. Liver biochemistry is poorly correlated with metabolic phenotypes. Conversely, a good correlation between FLI, as a marker of non-alcoholic fatty liver disease (NAFLD), and metabolically abnormal phenotypes in all BMI ranges was found. Our study suggests that FLI may be a useful marker for characterizing metabolically abnormal phenotypes in individuals who are overweight or obese.

Fat Mass Index Better Identifies Metabolic Syndrome: Insights from Patients in Early Outpatient Cardiac Rehabilitation.

Body mass index (BMI) does not differentiate fat and lean mass or the distribution of adipose tissue. The purpose of this study was to examine the prevalence of metabolic syndrome (MetS) among patients entering outpatient cardiac rehabilitation (CR) across fat mass index (FMI) categories compared with BMI. This retrospective cross-sectional study evaluated dual-energy x-ray absorptiometry in 483 CR patients from 1 January 2014, through 31 December 2017. Clinical data were extracted from the electronic health record. Patients were grouped by FMI and BMI categories. Mean (SD) age of patients was 64.3 (14) years. The normal FMI category had 15 patients; excess fat, 74; and obese, 384. In contrast, 93, 174, and 216 were in the normal, overweight, and obese BMI categories, respectively. Prevalence of MetS was 0 (0%) in normal, 5 (1%) in excess fat, and 167 (54%) in obese FMI, with 97% in the obese category. MetS prevalence was 4 patients (0.8%) in normal, 39 (8%) in overweight, and 129 (27%) in obese BMI categories, with 75% of MetS in the obese category. FMI more accurately classified CR patients with metabolically abnormal fat (p < 0.001). FMI is a more sensitive index than BMI for metabolically abnormal fat of outpatient CR patients.

Effect of Trunk Segment Boundary Definitions on Frontal Plane Segment Inertial Calculations.

When defining trunk body segment parameters, such as segment length, mass, center of mass location, and radius of gyration, it is necessary to understand and define consistent, anatomically relevant segment boundaries. In addition to the differences in reported trunk parameters due to different data collection and analysis methods (such as cadaver studies and imaging methods), many previous publications have also used differing definitions of the trunk segment. The objective of this study was to determine the effect of differences in trunk segment definitions and obesity on the calculated mass, center of mass, and radius of gyration using dual-energy X-ray absorptiometry anthropometry calculations. Twenty-three participants were recruited in normal weight and morbidly obese body mass index categories. A frontal plane dual-energy X-ray absorptiometry scan was taken of each participant, and 3 trunk segment delineations used by Chambers, de Leva, and Zatsiorsky were used to calculate the trunk parameters. The results showed statistically significant effects of segmentation definition and obesity on the trunk parameters calculated. Because of the potential impacts on static modeling and inverse dynamics calculations, it is important to determine which trunk segmentations are most appropriate for specific applications and to account for the impact of obesity within individuals.

How common is substantial weight gain after pregnancy?

Although population-based studies indicate that on average, women gain 1-2kg between pregnancies, women with obesity often attribute its development to childbearing. There is little contemporary data available regarding how commonly this occurs, particularly in women of different body mass index (BMI) categories. The aim of this study was to examine inter-pregnancy weight changes among women at a tertiary obstetric hospital in Melbourne, Australia. This was a retrospective review of data from the Birthing Outcomes System electronic record of 19,617 women aged 20 years or older, who delivered at least two consecutive singleton infants at ≥37 weeks' gestation at Mercy Hospital for Women between December 1994 and December 2015. A logistic regression model was used to assess the relationship between gain of ≥4kg/m2 between pregnancies and maternal BMI category in the first pregnancy, adjusting for covariates of maternal age, inter-pregnancy interval, and socioeconomic status. Gain of ≥4kg/m2 between the first two pregnancies occurred in 7.5% of normal weight women, 10.5% of overweight women, and 13.4% of women with obesity. One in five women who were normal weight in their first pregnancy increased to overweight or obese BMI categories in their second pregnancy. Substantial weight gain in relation to pregnancy affects a considerable proportion of women. Since inter-pregnancy weight gain is associated with several complications in the next pregnancy and longer term, avoiding excessive weight gain during and between pregnancies may prevent adverse health consequences in mothers and offspring.

The obesity paradox: An analysis of pre-procedure weight trajectory on survival outcomes in patients undergoing transcatheter aortic valve implantation

Increased mortality has been observed in those with cardiovascular diseases who are of normal body mass index (BMI) compared to the overweight and the obese. A similar association has been demonstrated in patients undergoing transcatheter aortic valve (TAVI) implantation. However, it still remains unclear whether low or normal BMI itself is unfavourable or whether this is merely a reflection of cardiac cachexia due to severe aortic stenosis. The hypothesis for the study was that weight change prior to TAVI may be associated with increased mortality following the procedure. Single centre retrospective analysis using the SWEDEHEART registry, national mortality statistics and local hospital database. Body mass index was used as the anthropomorphic measurement and patients grouped by WHO categories and weight change trajectory before and at TAVI. Kaplan-Meier survival was constructed and a Cox proportional hazard model used to evaluate predictors of outcome. Consecutive data on 493 patients with three year follow-up between 2008-2015 were evaluated. Overweight and obese body mass index categories (BMI>25) were associated with improved mortality compared to normal and underweight patients (BMI<25) (log rank p=0.02), hazard ratio of 0.68 (0.50-0.93). Weight loss trajectory was associated with increased mortality compared to stable weight (log rank p=0.01), hazard ratio 1.64 p=0.025. The pre-procedural weight trajectory of patients undergoing TAVI is an important predictor of clinical outcome after TAVI. Patients with stable weight trajectories are associated with improved mortality outcome compared to those with decreasing weight.

Associations between obesity and mental distress in late midlife: results from a large Danish community sample.

BackgroundTo examine associations of Body mass Index (BMI) and mental distress in late midlife in a large Danish community sample and to investigate the effect of socio-demographic factors.MethodsThe study sample comprised 3613 Danish men and 1673 women aged 49–63 years from the Copenhagen Ageing and Midlife Biobank (CAMB) with complete information on measured BMI, severity of mental symptoms assessed by the Symptom Check-List’ (SCL-90), and socio-demographic factors including sex, age, occupational social class, and educational duration. Linear and logistic regression were used to evaluate associations between BMI category and SCL-90.ResultsUnadjusted SCL-90 subscale scores differed significantly across BMI categories (p < 0.001) among both men and women with more mental distress in the underweight, obese and severely obese BMI categories except for the anxiety scale which was not associated with BMI category in women. In the adjusted analyses, all symptom scales remained significantly associated with BMI among men after adjusting for socio-demographic factors while only associations with somatization and depression scales remained significant for women.. When SCL-90 case status was applied as an outcome, significant unadjusted associations with BMI category were observed for somatization (p < 0.001), depression (p = 0.026) and the General Severity Index (p = 0.002) among men and somatization (p = 0.002) among women. Furthermore, somatization case-status was significantly predicted by BMI category (p < 0.001) in men after adjusting for socio-demographic factors.ConclusionResults indicate more mental distress among underweight, obese and severely obese men and women after adjusting for socio-demographic factors. Furthermore, obese men have higher risk of reporting clinically relevant symptoms of somatization independently of socio-demographic factors.