Overweight improves long-term survival in Japanese patients with asthma.

BACKGROUND: Obesity is a risk factor for severe and difficult-to-treat asthma. However, the impact of different physiques on long-term outcomes is poorly understood. We aimed to investigate the correlation between obesity and asthma-associated long-term mortality in Japanese adults. METHODS: From the data on 3146 individuals with air pollution-related respiratory diseases in the Omuta City Air Pollution-Related Health Damage Cohort Program, 697 adult patients with asthma were analyzed. Hazard ratios for long-term all-cause and respiratory disease -related mortality were compared in patients with different physiques using the Cox proportional hazard models. The classification of physiques was based on the WHO obesity criteria. RESULTS: Of the 697 patients, 439 died during the median observation period of 26.3 years. The number (% of total) of underweight, normal-weight, pre-obese, and obese class I-III individuals were 75 (10.8%), 459 (65.9%), 140 (20.1%), and 23 (3.3%), respectively. The Cox proportional hazard model (adjusted hazard ratio [95% confidence interval], P value) showed that pre-obese group had a significantly reduced risk for all-cause (0.65 [0.51 to 0.83], P < 0.05) and respiratory disease (0.55 [0.37 to 0.81], P < 0.05)-related mortality related to normal-weight group. CONCLUSIONS: Our cohort program demonstrated that being slightly overweight may reduce the risk of long-term mortality in patients with asthma. However, the influence of obesity on long-term outcomes remains unclear in asthma, because of the small number of obese patients included in our study. Our findings suggest that interventions, including nutrition and exercises, should be provided to Japanese patients with asthma.

Assessment of body mass index in a pediatric population aged 7-17 from Ukraine according to various international criteria-A cross-sectional study.

Childhood obesity is one of the most serious public health problems. The prevalence of obesity among children is increasing and may negatively affect their immediate health, but it can also lead to obesity in adulthood. The aim of the study was to compare BMI cut-off points by examining three main international references: the World Health Organization (WHO), the International Task Force Obesity (IOTF) and the US Center for Disease Control and Prevention (CDC). Ultimately, the study group consisted of 18,144 children and adolescents aged 6.5-17.5 years. Body mass was measured on medical scales with an accuracy of ± 100 g and height measurement was taken using a height meter with an accuracy of ± 0.1 cm three times. Underweight, overweight and obesity were calculated according to WHO, IOTF and CDC BMI international references. There were differences in the incidence of underweight between the classifications: 16.8% according to IATF, 5.3% according to WHO and 9.9% according to CDC. There were also differences in the incidence of overweight and obesity between the classifications: 13% according to IOTF, 19.7% according to WHO and 14.1% according to CDC. In the CDC and WHO studies, a significantly higher prevalence of childhood obesity (4.0% and 4.7%, respectively) was observed compared with IOTF (2.1%). The prevalence of overweight and obesity in this study was higher among boys compared to girls. However, estimates of prevalence of overweight and obesity differ in methods and reference cut-off points. Higher prevalence was obtained in IOTF classification, followed by the WHO and CDC classification.

Assessment of baroreceptor reflex sensitivity in young obese Saudi males at rest and in response to physiological challenges.

Autonomic imbalance in overweight/obese persons could lead to an increased risk of cardiovascular complications including hypertension and arrhythmias. Baroreceptor reflex sensitivity is a sensitive indicator to detect an altered sympathovagal balance in overweight/obese individuals. This study investigated the effects of overweight/obesity on baroreceptor sensitivity in young Saudi males at rest and in response to physiological challenges. SUBJECTS AND METHODS: In this cross-sectional study, spontaneous baroreceptor sensitivity at rest and in response to deep breathing, isometric hand grip exercise and moderate intensity isotonic exercise were recorded in 20 normal weight and 20 overweight/obese subjects. Finger arterial blood pressure signal, recorded through Finometer, was used to calculate baroreceptor sensitivity through cross-correlation method. The baroreceptor sensitivity data were log transformed before application of parametric tests. RESULTS: The spontaneous baroreceptor sensitivity was similar in both groups at baseline, but exhibited a significant increase during deep breathing only in normal weight (p < .001). Immediately after the isotonic exercise the baroreceptor sensitivity was significantly lower than baseline in both normal weight and overweight/obese and remained significantly lower in overweight/obese individuals compared to normal weight (p < .05) throughout the recovery period. There was a significant rise in baroreceptor sensitivity after isometric exercise in overweight/obese group only (p = .001). Pearson's correlation showed a significant negative correlation of baroreceptor sensitivity with body mass index during deep breathing (r = -.472, p = .004) and in post-isotonic exercise recovery period (r = -.414, p = .013). CONCLUSION: A significantly reduced baroreceptor sensitivity response to deep breathing, reduced baroreceptor sensitivity recovery after isotonic exercise, and an exaggerated shoot up after isometric exercise in overweight/obese suggests an altered sympathovagal balance. Baroreceptor sensitivity measurements in response to physiological challenges, deep breathing, and isotonic exercise, may be more sensitive investigations for detection of early attenuation of cardiac autonomic function. This would enable timely intervention thereby delaying complications and improving the quality of life.

Overweight and obesity of school-age children in El Salvador according to two international systems: a population-based multilevel and spatial analysis.

BACKGROUND: The World Health Organization (WHO-2007) and the International Obesity Task Force (IOTF-Cole) systems assess child weight status. However, derived estimations often differ. We aimed to a) compare the prevalence of overweight and obesity, b) analyze individual and contextual factors associated with child weight using multilevel analysis and c) explore the spatial distribution of overweight and obesity using both classification systems. METHODS: We used data from the 2015/2016 National School Height and Weight Census in El Salvador. Information on 111,991 children aged 6.0-9.9 years attending the first grade was analyzed. Body mass index Z-score (BMIZ), overweight and obesity were defined with both classification systems. Weighted kappa was used to measure agreement. Child, school and municipal potential determinants of BMIZ were examined by multilevel analysis. Municipal spatial clustering of overweight and obesity was tested using Moran's Index and Getis-ord Gi* statistics. RESULTS: The combined prevalence of overweight and obesity was higher according to the WHO system than the IOTF (30.4% vs 23.1%). The weighted kappa was 0.83. Boys, children attending urban schools, children attending private schools, and children residing in municipalities with high human development index had higher BMIZ than their counterparts. The Moran's indexes were positives and significant. Clusters of high prevalence (above the national prevalence) of overweight and obesity were found in 29 municipalities using the WHO and IOTF systems. For obesity, 28 and 23 municipalities in clusters of high prevalence were detected using the WHO and IOTF criteria, respectively. CONCLUSIONS: Overweight and obesity is high among school-age children in El Salvador. The prevalence of overweight and obesity was higher when using the WHO system, as compared to the IOTF system. Irrespective of the classification system, the multilevel and spatial analysis derived similar interpretations. These results support the need for national preventive interventions with targeting strategies to reduce overweight and obesity in school-age children.

Trajectories of BMI Before Diagnosis of Type 2 Diabetes: The Rotterdam Study.

OBJECTIVE: People with diabetes show great variability in weight gain and duration of obesity at the time of diagnosis. BMI trajectories and other cardiometabolic risk factors prior to type 2 diabetes were investigated. METHODS: A total of 6,223 participants from the Rotterdam Study cohort were included. BMI patterns before diagnosis of diabetes were identified through latent class trajectories. RESULTS: During a mean follow-up of 13.7 years, 565 participants developed type 2 diabetes. Three distinct trajectories of BMI were identified, including the "progressive overweight" group (n = 481, 85.1%), "progressive weight loss" group (n = 59, 10.4%), and "persistently high BMI" group (n = 25, 4.4%). The majority, the progressive overweight group, was characterized by a steady increase of BMI in the overweight range 10 years before diabetes diagnosis. The progressive weight loss group had fluctuations of glucose and marked beta cell function loss. The persistently high BMI group was characterized by a slight increase in insulin levels and sharp increase of insulin resistance accompanied by a rapid decrease of beta cell function. CONCLUSIONS: Heterogeneity of BMI changes prior to type 2 diabetes was found in a middle-aged and elderly white population. Prevention strategies should be tailored rather than focusing only on high-risk individuals.

Directional Relationship Between Vitamin D Status and Prediabetes: A New Approach from Artificial Neural Network in a Cohort of Workers with Overweight-Obesity.

Objective: Despite the increasing literature on the association of diabetes with inflammation, cardiovascular risk, and vitamin D (25(OH)D) concentrations, strong evidence on the direction of causality among these factors is still lacking. This gap could be addressed by means of artificial neural networks (ANN) analysis.Methods: Retrospective observational study was carried out by means of an innovative data mining analysis-known as auto-contractive map (AutoCM)-and semantic mapping followed by Activation and Competition System on data of workers referring to an occupational-health outpatient clinic. Parameters analyzed included weight, height, waist circumference, body mass index (BMI), percentage of fat mass, glucose, insulin, glycated hemoglobin (HbA1c), creatinine, total cholesterol, low- and high-density lipoprotein cholesterol, triglycerides, uric acid, fibrinogen, homocysteine, C-reactive protein (CRP), diastolic and systolic blood pressure, and 25(OH)D.Results: The study included 309 workers. Of these, 23.6% were overweight, 40.5% were classified into the first class of obesity, 23.3% were in the second class, and 12.6% were in the third class (BMI > 40 kg/m ). All mean biochemical values were in normal range, except for total cholesterol, low- and high-density lipoprotein cholesterol, CRP, and 25(OH)D. HbA1c was between 39 and 46 mmol/mol in 51.78%. 25(OH)D levels were sufficient in only 12.6%. Highest inverse correlation for hyperglycemia onset was with BMI and waist circumference, suggesting a protective role of 25(OH)D against their increase. AutoCM processing and the semantic map evidenced direct association of 25(OH)D with high link strength (0.99) to low CRP levels and low high-density lipoprotein cholesterol levels. Low 25(OH)D led to changes in glucose, which affected metabolic syndrome biomarkers, first of which was homeostatic model assessment index and blood glucose, but not 25(OH)D.Conclusions: The use of ANN suggests a key role of 25(OH)D respect to all considered metabolic parameters in the development of diabetes and evidences a causation between low 25(OH)D and high glucose concentrations.

Fitness differences according to BMI categories: a new point of view.

BACKGROUND: Many studies have reported negative association between fitness level and BMI categories but the lack of body weight correction and the systematic use of physical endurance test made these differences controversial. Thus, the aim of this study was the assessment of physical fitness level associated to BMI using alternative tests. METHODS: BMI was calculated as body mass/stature2 while fitness level was assessed using field test. In particular, Sit and Reach (SAR), Standing Broad Jump (SBJ), Shuttle Run Test 5 mx 10 (SHR), Sit ups (SUP), Bent arm hang (BAH) were assessed in 2545 students. Subsequently, normal weight/overweight/obesity/underweight/thinness students were classified according to the cut-off points defined in literature and then the relative fitness results. RESULTS: The performances in SBJ showed very low differences between BMI categories such as for SUP test. The effects size in SHR were low or close to moderate while in BAH thin students revealed high performance than normal/overweight peers. In SAR test no clear trends in the BMI categories were observed. CONCLUSIONS: All test (exluding BAH) were similar for normal, overweight and thin students. This finding can be useful to teachers to encourage over/under-weighted students to adopt active life style because they are close to normal weight counterparts.

[Estimation of the percentage of body fat based on the body mass index and the abdominal circumference: Palafolls Formula]. / Estimación del porcentaje de grasa corporal en función del índice de masa corporal y perímetro abdominal: fórmula Palafolls.

INTRODUCTION: Overweight and obesity have the features of a worldwide epidemic, making it a public health problem. The traditional classification with the body mass index is a good start, but after the evidence of the biochemical activities of adipose tissue, its measurement is a necessity. There are multiple formulas for this purpose, but with little possibility of applying it in Primary Care. The following formulas are proposed for its use in this setting; Men=(body mass index [BMI/Abdominal Circumference [AC]*10)+BMI. Women=([BMI/AC]*10)+BMI+10. MATERIAL AND METHODS: A descriptive, prospective study was conducted, including 505 women and 489 men aged between 30 and 90 years. Weight, height, and abdominal circumference were measured, and the body mass index, percentage of fat using the CUN BAE (Clínica Universidad de Navarra - Body Adiposity Estimator) and proposed formulas were calculated. RESULTS: Comparative calculations were made between CUN BAE and formulas. No significant differences were observed in the descriptive values (Women χ2=1.1; P=.89. Men χ2=0.8; P=.93. The confidence interval and standard error p=1. The numerical correlation shows r=0.94; p=0.0001; R2=0.89. The relative error of the mean in men was 5.48% and -0.43% in women. The comparison of medians demonstrated Wilcoxon=0.8333. The study of sensitivity and specificity for cut-off points shows a ROC curve AUC=0.986; P=<.0001. CONCLUSIONS: The lack of significant differences between the results of both formulas, makes it possible to be proposed for the calculation of the fat percentage in body weight in Primary Care Clinics.

Differences between WHO Growth Standards and China Growth Standards in Assessing the Nutritional Status of Children Aged 0-36 Months Old.

Background: At present, whether to use the World Health Organization's (WHO) growth standards or native growth standards to assess the nutritional status in a given population is unclear. This study aimed to compare the differences between the WHO's growth standards and China's growth standards in assessing the nutritional status of children aged 0~36 months. Methods: We used z-scores to evaluate the nutritional status of children. The weight-for-age z-scores (WAZs), length/height-for-age z-scores (LAZ/HAZs), and weight-for-length/height z-scores (WLZ/WHZs) were calculated using the WHO's growth standards and China's growth standards. MeNemar's test was used to compare the nutritional status of children. Results: The results in this study showed that there were differences between the WHO's standards and China's standards in assessing children's nutritional status except for stunting and obesity. The prevalence of underweight assessed using China's standards was higher than when using the WHO's standards (except when 3 and 36 months old). The prevalence of wasting was significantly higher when assessed using China's standards than when using the WHO's standards from 12 to 36 months. The prevalence of overweight was higher when assessed using the WHO's standards from 3 to 8 months. Conclusions: Both the WHO's and China's growth standards are useful measures in assessing children's nutritional status but with key significant differences. Therefore, caution should be taken in selecting appropriate measures in a given population.

Influence of Familiarity on Energy Intake and Plasma Gut Hormone Concentration in Lean and Overweight Young Male Students.

OBJECTIVE: This study is to examine the influence of familiarity on energy intake, eating behavior, and concentration of the plasma gut hormones in lean and overweight young male subjects. METHODS: Twenty-eight lean and twenty-eight overweight participants were recruited. Their food consumption was documented and analyzed when they had a test meal while they were paired with friends or strangers at the same weight stature. Their eating behavior was recorded with cameras hidden in the carton, and postprandial plasma gut hormone concentration were measured. RESULTS: Compared with overweight strangers (OS), overweight friends (OF) had increased food consumption, prolonged and decreased number of chews per 10 g food. Compared with OS, postprandial plasma concentration of cholecystokinin-8 was significantly lower in OF group at 30, 60, and 90 min, whereas the concentration of glucagon-like peptide 1 was significantly lower at 60 and 90 min. Plasma ghrelin concentration was significantly higher in the OF group than that in the OS group at 90 and 120 min. No significant differences in gut hormone concentration were observed between lean strangers (LS) and lean friends (LF) groups at all time points. CONCLUSION: Familiarity plays an important role in increasing energy intake and in changing of postprandial gut hormone concentration in overweight individuals.

Weight Loss Success of Participants Residing in Rural and Urban Areas.

PURPOSE: Rural residents are significantly more likely to be overweight and obese than are urban residents. However, few data have compared weight control program responses in these population groups. Therefore, the primary aim of this study was to evaluate the weight loss outcomes of participants in a multisite, online behavioral intervention by residential location (rural vs urban) and, second, assess any possible differences in adherence to treatment goals. METHODS: A total of 492 adult participants (mean BMI = 35.7 kg/m2 ; 90% female; 24% minority) were categorized based on their home ZIP code and the 2010 US Census Urban and Rural Classification criteria (58.3% rural; 41.7% urban). Weight (kg) was measured in-person at baseline and 6 months after participating in a behavioral weight control intervention. Adherence to physical activity and calorie and fat intake goals was assessed based on weekly self-monitoring journals. Weekly online chat attendance and completion of weekly online self-monitoring journals were recorded. Presence of obesogenic foods in the home was self-reported at baseline and 6 months. FINDINGS: There were no statistically significant differences in weight loss between rural and urban participants (-6.1 kg vs -5.3 kg, P = .16), nor were there differences in chat attendance, self-monitoring journals, self-reported physical activity, calorie intake, or obesogenic foods reported in the household. CONCLUSIONS: Overall, there was no difference in weight loss and adherence to treatment goals for rural and urban participants. Further research on rural and urban residents is necessary to explore the factors responsible for the disparity in obesity prevalence.

A comparison of perceived and calculated weight status classification congruence between pre- and post-bariatric surgery patients.

BACKGROUND: One prominent reason patients undergo bariatric surgery is to reduce their excess weight and body mass index. Weight status classifications (WSCs), based on calculated body mass index, organize patients into distinct groups (underweight, healthy weight, overweight, class I obesity, class II obesity, and class III obesity) for treatment recommendations, including surgery for patients with obesity. Bariatric patients' perceptions of their WSC is important to consider, because patients who accurately perceive their WSC presurgery have greater motivation for health behavior changes; alternatively, incongruence between perceived and calculated WSC could deter motivation and ultimately their health changes postsurgery. OBJECTIVES: This study seeks to understand the congruence between patients' perceived and calculated WSC, and to determine if there are differences in congruence between groups of pre- or postsurgery, male and female, and emerging/early adulthood and middle/late adulthood patients. SETTING: University Hospital. METHODS: Self-report measures. RESULTS: Results indicate the presurgery patients were more congruent in their perceptions of WSC compared with their postsurgery peers and emerging/early adulthood patients were more congruent in their perceptions of WSC compared with middle/late adulthood patients. No gender differences emerged in the full sample, but when divided by surgical status, presurgery females reported more congruent perceptions of WSC compared with their postsurgery peers. Males did not differ in their rates of congruence. CONCLUSION: These rates of incongruence may suggest a need for assessment of patients' perceived WSC, particularly postsurgery.

Overweight, Obesity, and Extreme Obesity Among Mississippi Adults, 2001-2010 and 2011-2015.

INTRODUCTION: In 2015, about 1.5 million adults in Mississippi were overweight or obese. Obesity is associated with increased risk for diabetes and cardiovascular problems. We examined trends in the prevalence of overweight, obesity, and extreme obesity from 2001 through 2010 and 2011 through 2015. METHODS: We used data from the Mississippi Behavioral Risk Factor Surveillance System to analyze trends in the prevalence of overweight, obesity, and extreme obesity among adults from 2001 through 2010 and 2011 through 2015. Joinpoint software was used to examine annual percentage change (APC) in the prevalence of each condition overall and by sex and race. RESULTS: We observed a significant decrease in overweight prevalence from 2001 to 2010, both overall (APC, -1.3%) and among men (APC, -2.0%), blacks (APC, -1.0%), and whites (APC, -1.5%), but not among women. The overall prevalence of both obesity (APC, 2.9%) and extreme obesity (APC, 3.6%) increased significantly, and these increases occurred across all subgroups for both obesity (men APC, 3.5%; women APC, 2.5%; blacks APC, 1.9%; and whites APC, 3.8%) and extreme obesity (men APC, 6.7%; women APC, 2.5%; blacks APC, 2.2%; and whites APC, 5.0%). From 2011 to 2015, the only significant change was an increase in the prevalence of extreme obesity among whites (APC, 2.6%). CONCLUSION: The increasing proportion of adult Mississippians in the 2 highest-risk BMI categories warrants urgent community and clinical obesity interventions. Community-tailored and sustained obesity prevention, treatment, and control programs that include diet and physical activity are needed to address the obesity epidemic.

[The implications of using different body mass index references in children and adolescents].

To classify children as overweight or obese, their body mass index (BMI) must be compared with a growth reference and be accompanied by a clinical assessment. In Denmark, there is a lack of consensus on which BMI reference to use; a mix of national and international references are used in clinics, hospitals and research institutions. In this article, the implications of using different references are illustrated with Danish data. The comparisons show that the references yield different prevalences of overweight in a non-predictable way, making comparisons and monitoring challenging.

Childhood obesity classification systems and cardiometabolic risk factors: a comparison of the Italian, World Health Organization and International Obesity Task Force references.

BACKGROUND: Body Mass Index Italian reference data are available for clinical and/or epidemiological use, but no study compared the ability of this system to classify overweight and obesity and detect subjects with clustered cardiometabolic risk factors with international standards. Therefore our aim was to assess 1) the agreement among the Italian Society for Pediatric Endocrinology and Diabetology (ISPED), the World Health Organisation (WHO) and the International Obesity Task Force (IOTF) Body Mass Index cut-offs in estimating overweight or obesity in children and adolescents; 2) the ability of each above-mentioned set of cut-points to detect subjects with cardiometabolic risk factors. METHODS: Data of 6070 Italian subjects aged 5-17 years were collected. Prevalence of normal-weight, overweight and obesity was determined using three classification systems: ISPED, WHO and IOTF. High blood pressure, hypertriglyceridemia, low high density lipoprotein-cholesterol and impaired fasting glucose were considered as cardiometabolic risk factors. RESULTS: ISPED and IOTF classified more subjects as normal-weight or overweight and less subjects as obese as compared to WHO (p <0.0001) in the whole sample and in groups divided by gender and age. The strength of agreement between the three methods compared to each other was excellent for overweight (including obesity) definition (k > 0.900), while it differed for obesity definition, ranging from the highest agreement between ISPED and IOTF (k 0.875) to the lowest between ISPED and WHO (k 0.664). WHO had the highest sensitivity, while ISPED and IOTF systems had the highest specificity, in identifying obese subjects with clustered cardiometabolic risk factors. Analogous results were found in subjects stratified by gender or age. CONCLUSIONS: ISPED and IOTF systems performed similarly in assessing overweight and obesity, and were more specific in identifying obese children/adolescents with clustered cardiometabolic risk factors; on the contrary, the WHO system was more sensitive. Given the seriousness of the obesity epidemic, we wonder whether the WHO system should be preferable to the national standards for clinical practice and/or obesity screening.

Predictors of adolescents' weight misclassification: A longitudinal study.

OBJECTIVE: To examine adolescents' and mothers' misclassification of the adolescents' body weight and associated early life predictors. METHODS: Data are from a sample of women and their children who were part of a longitudinal Australian birth cohort study. We analysed data of 3925 adolescents, 3721 mothers, and 2593 mother-offspring pairs. At the 14-year follow up, we derived adolescents' body weight category (underweight, normal or overweight) based on their measured height and weight and adolescents reported their similar subjective weight categories. Similarly, mothers reported perceived weight of their adolescents' offspring. We compared objectively measured weight with subjective weight perceptions to identify misclassifications. Possible predictors of weight misclassification were taken from pregnancy, childhood and the adolescent period. RESULTS: Almost a third of adolescents and a quarter of mothers misclassified the adolescents' body weight. Underestimation was observed more often in overweight adolescents. Overestimation was observed more often in underweight adolescents. More than a third of underweight adolescents and almost half of mothers of underweight children overestimated the adolescent's body weight. Normal weight females overestimated their body weight more than their males' counterparts. Predictor of misclassification included being female; dieting to lose weight; having over or underweight mothers; and having high level of poor mental health. CONCLUSIONS: Findings of this study suggest that adolescent weight misclassification is common across all BMI categories. Being female, dieting to lose weight, poor mental health and maternal BMI status predict misclassification. Further studies are needed to evaluate the population health significance of weight misclassifications.

Obesity paradox in group 1 pulmonary hypertension: analysis of the NIH-Pulmonary Hypertension registry.

BACKGROUND: The 'obesity paradox' refers to the fact that obese patients have better outcomes than normal weight patients. This has been observed in multiple cardiovascular conditions, but evidence for obesity paradox in pulmonary hypertension (PH) remains sparse. METHODS: We categorized 267 patients from the National Institute of Health-PH registry into five groups based on body mass index (BMI): underweight, normal weight, overweight, obese and morbidly obese. Mortality was compared in BMI groups using the χ2 statistic. Five-year probability of death using the PH connection (PHC) risk equation was calculated, and the model was compared with BMI groups using Cox proportional hazards regression and Kaplan-Meier (KM) survival curves. RESULTS: Patients had a median age of 39 years (interquartile range 30-50 years), a median BMI of 23.4 kg m-2 (21.0-26.8 kg m-2) and an overall mortality at 5 years of 50.2%. We found a U-shaped relationship between survival and 1-year mortality with the best 1-year survival in overweight patients. KM curves showed the best survival in the overweight, followed by obese and morbidly obese patients, and the worst survival in normal weight and underweight patients (log-rank P=0.0008). In a Cox proportional hazards analysis, increasing BMI was a highly significant predictor of improved survival even after adjustment for the PHC risk equation with a hazard ratio for death of 0.921 per kg m-2 (95% confidence interval: 0.886-0.954) (P<0.0001). CONCLUSION: We observed that the best survival was in the overweight patients, making this more of an 'overweight paradox' than an 'obesity paradox'. This has implications for risk stratification and prognosis in group 1 PH patients.

Accuracy of different cutoff points of body mass index to identify overweight according to body fat values estimated by DEXA / Precisão de diferentes pontos de corte do índice de massa corporal para identificar sobrepeso de acordo com valores de gordura corporal estimados por DEXA

Abstract: Objective: To evaluate the sensitivity and specificity of different cutoff points of body mass index for predicting overweight/obesity according to body fat values estimated by DEXA among Brazilian adolescents. Methods: Cross-sectional study including 229 male adolescents aged 10-15 years, in which body adiposity and anthropometric measures were assessed. Nutritional status was classified by BMI according to cutoff points described in scientific literature. Results: Moderate agreements were observed between body fat estimated by DEXA and cutoffs proposed by Cole et al. (K = 0.61), Conde and Monteiro (K = 0.65), Must et al. (K = 0.61) and WHO (K = 0.63). The BMI in continuous form showed good agreement with the Dexa (ICC = 0.72). The highest sensitivity was observed for cutoff by Conde and Monteiro (0.74 [0.62, 0.84]) and the highest specificity by Cole et al. (0.98 [0.94, 0.99]). For the areas under the ROC curve of cutoff points analyzed, significant difference comparing the cutoff points by Cole et al. and Conde and Monteiro (0.0449 [0.00294, 0.0927]) was observed. Conclusions: The cutoff proposed by Conde and Monteiro was more sensitive in identifying overweight and obesity when compared to the reference method, and the cutoff proposed by Cole et al. presented the highest specificity for such outcomes.

Resumo: Objetivo: Avaliar a sensibilidade e a especificidade de diferentes pontos de corte do índice de massa corporal para o prognóstico de sobrepeso/obesidade de acordo com os valores de gordura corporal estimados por absorciometria de raios X de dupla energia (DEXA) entre adolescentes brasileiros. Métodos: Estudo transversal que inclui 229 adolescentes do sexo masculino entre 10-15 anos, no qual foram avaliadas a adiposidade corporal e as medidas antropométricas. A situação nutricional foi classificada pelo IMC de acordo com os pontos de corte descritos na literatura científica. Resultados: Foram observadas concordâncias moderadas entre a gordura corporal estimada por DEXA e os cortes propostos por Cole et al. [K = 0,61], Conde e Monteiro [K = 0,65], Must et al. [K = 0,61] e a Organização Mundial de Saúde (OMS) [K = 0,63]. O IMC de forma contínua mostrou uma boa concordância com a DEXA [CCI = 0,72]. A maior sensibilidade foi observada em cortes por Conde e Monteiro [0,74 (0,62, 0,84)] e a maior especificidade por Cole et al. [0,98 (0,94, 0,99)]. Nas áreas abaixo da curva de ROC de pontos de corte analisados, foi observada uma diferença significativa ao se compararem os pontos de corte de Cole et al. e Conde e Monteiro [0,0449 (0,00294, 0,0927)]. Conclusões: O corte proposto por Conde e Monteiro foi mais sensível na identificação de sobrepeso e obesidade em comparação com o método de referência e o corte proposto por Cole et al. apresentou a maior especificidade para esses resultados.