Association between low handgrip strength and incontinence among Chinese middle-aged and older people: A cross-sectional study.

Objective: Incontinence seriously affects the lives of middle-aged and older people. Pelvic floor muscle assessment is very important for incontinence, and handgrip strength can be used as an auxiliary diagnostic tool. Our study aims to find new cutoff points of handgrip strength as early indicators of incontinence and analyze the association between low handgrip strength and incontinence among Chinese middle-aged and older people. Methods: Participants were recruited from the 2015 China Health and Retirement Longevity Study. Receiver operating characteristic (ROC) curves were used to find the handgrip strength cutoff point. Logistic regression analysis was performed to explore other incontinence-related risk factors. Results: The study included 10,229 middle-aged and older people. Compared with normal handgrip strength participants, medium strength participants had 1.510 [men, 95% confidence interval (CI) = 1.017-2.243] and 1.792 (women, 95% CI = 1.294-2.480) times greater risk of incontinence, and low strength participants had 2.420 (men, 95% CI = 1.787-3.277) and 1.516 (women, 95% CI = 1.130-2.032) times greater risk of incontinence. Trend test results showed that the risk of incontinence increased with decreasing handgrip strength in middle-aged and older people. Conclusions: Our study suggests that handgrip strength < 31 kg in men and < 20.5 kg in women is significantly associated with higher risk of incontinence in Chinese middle-aged and older people. The risk of incontinence increases with decreasing handgrip strength. Handgrip strength should be measured in routine physical examinations in middle-aged and older people for timely assessment and intervention in incontinence.

Physical Activity Levels and Body Mass Index in Sport Education. Is There a Difference?

Purpose: The goals of this study were: (1) to assess students' physical activity levels in a sport education season according to the phases of the model, adjusted for body mass index; (2) to uncover the contribution of the phases of the model to the World Health Organization recommendations; (3) to understand its impact in students with overweight/obesity. Methods: A total of 42 primary education students with a mean age of 10.68 ± 0.69 years, enrolled in one year 5 (10-11 years) and one year 6 (11-12 years). Physical Education lessons of the same school agreed to participate. Students in both groups experienced a 14-lesson learning unit in team handball through the sport education. Each participant wore an ActiGraph GT3X accelerometer to measure physical activity levels, counts/minute and steps counted. Cole and Lobstein cutoff points were used to determine groups based on body mass index (thin, normal-weight, overweight/obese). Results: The results showed that the overweight/obese group achieved scores for moderate to vigorous physical activity and sedentary time that were not significantly different from the normal-weight group. According to the phases, the preseason was the most active and contributed most to the World Health Organization recommendations in all groups. Conclusions: Sport education could be considered an appropriate pedagogical framework to help overweight/obese children achieve moderate-to-vigorous physical activity and sedentary scores similar to their normal-weight classmates. Key elements of sport education include performing roles, learning work routines, and having the autonomy to choose games/tasks, all of which promote physical activity amongst all students.

AI-Assisted Body Composition Assessment Using CT Imaging in Colorectal Cancer Patients: Predictive Capacity for Sarcopenia and Malnutrition Diagnosis.

(1) Background: The assessment of muscle mass is crucial in the nutritional evaluation of patients with colorectal cancer (CRC), as decreased muscle mass is linked to increased complications and poorer prognosis. This study aims to evaluate the utility of AI-assisted L3 CT for assessing body composition and determining low muscle mass using both the Global Leadership Initiative on Malnutrition (GLIM) criteria for malnutrition and the European Working Group on Sarcopenia in Older People (EWGSOP2) criteria for sarcopenia in CRC patients prior to surgery. Additionally, we aim to establish cutoff points for muscle mass in men and women and propose their application in these diagnostic frameworks. (2) Methods: This retrospective observational study included CRC patients assessed by the Endocrinology and Nutrition services of the Regional University Hospitals of Malaga, Virgen de la Victoria of Malaga, and Vall d'Hebrón of Barcelona from October 2018 to July 2023. A morphofunctional assessment, including anthropometry, bioimpedance analysis (BIA), and handgrip strength, was conducted to apply the GLIM criteria for malnutrition and the EWGSOP2 criteria for sarcopenia. Body composition evaluation was performed through AI-assisted analysis of CT images at the L3 level. ROC analysis was used to determine the predictive capacity of variables derived from the CT analysis regarding the diagnosis of low muscle mass and to describe cutoff points. (3) Results: A total of 586 patients were enrolled, with a mean age of 68.4 ± 10.2 years. Using the GLIM criteria, 245 patients (41.8%) were diagnosed with malnutrition. Applying the EWGSOP2 criteria, 56 patients (9.6%) were diagnosed with sarcopenia. ROC curve analysis for the skeletal muscle index (SMI) showed a strong discriminative capacity of muscle area to detect low fat-free mass index (FFMI) (AUC = 0.82, 95% CI 0.77-0.87, p < 0.001). The identified SMI cutoff for diagnosing low FFMI was 32.75 cm2/m2 (Sn 77%, Sp 64.3%; AUC = 0.79, 95% CI 0.70-0.87, p < 0.001) in women, and 39.9 cm2/m2 (Sn 77%, Sp 72.7%; AUC = 0.85, 95% CI 0.80-0.90, p < 0.001) in men. Additionally, skeletal muscle area (SMA) showed good discriminative capacity for detecting low appendicular skeletal muscle mass (ASMM) (AUC = 0.71, 95% CI 0.65-0.76, p < 0.001). The identified SMA cutoff points for diagnosing low ASMM were 83.2 cm2 (Sn 76.7%, Sp 55.3%; AUC = 0.77, 95% CI 0.69-0.84, p < 0.001) in women and 112.6 cm2 (Sn 82.3%, Sp 58.6%; AUC = 0.79, 95% CI 0.74-0.85, p < 0.001) in men. (4) Conclusions: AI-assisted body composition assessment using CT is a valuable tool in the morphofunctional evaluation of patients with colorectal cancer prior to surgery. CT provides quantitative data on muscle mass for the application of the GLIM criteria for malnutrition and the EWGSOP2 criteria for sarcopenia, with specific cutoff points established for diagnostic use.

What is high rumination?

OBJECTIVE: The current paper tries to illuminate the need for standard cutoff points. INTRODUCTION: rumination is considered to be a transdiagnostic process leading to a variety of consequences. But, what is prominent ruminative tendency? Are there agreed-upon specifications or cutoff points that distinguish between high and low tendency to ruminate? In an attempt to answer these questions, we reviewed 25 works that compared people characterized as high or low in rumination. We found numerous inconsistencies in the characterization criteria and a great variability in cutoff points. Most studies did not provide enough information about the cutoff criteria or values. METHOD: We examined a sample of 454 participants using the RRS (Ruminative Response Scale), from which we tried to identify standard cutoff points. RESULTS SHOWED: 1) distributions of RRS, brooding and reflective pondering; 2) most studies used median split, which might explain the differences among studies; 3) examination of standard scores for the various cutoffs presented big variability among the studies; and 4) women had higher scores of rumination and brooding than men. CONCLUSION: Our paper highlights the need for homogeneity in the field. It suggests addressing the RRS, brooding and reflective pondering distributions as references for future studies. We recommend specifying: cutoff criteria, cutoff values, range, means and standard deviations. Researchers should consider the specific population (i.e., men vs. women or clinical vs. non clinical) of interest and infer specific cutoff points accordingly. Importantly, researchers should consider the implications of their choice of cutoff points and apply their criterion accordingly.

Evaluation of Sonicate Fluid Culture Cutoff Points for Periprosthetic Joint Infection Diagnosis.

Introduction: Implant sonication is useful for recovery of periprosthetic joint infection (PJI) pathogens in culture, but exact cutoff points for definition of clinically significant sonicate fluid culture results vary from study to study. The aim of this study was to define ideal sonicate fluid culture cutoff points for PJI diagnosis. Methods: Sonicate fluid cultures from hip and knee prosthesis components removed between February 2007 and December 2020 were studied. Prosthesis components were placed in solid containers in the operating room; in the clinical microbiology laboratory, 400 mL Ringer's solution was added, and containers subjected to vortexing, sonication and then vortexing, followed by centrifugation. Concentrated sonicate fluid was plated on aerobic and anaerobic solid media, and culture results reported semiquantitatively, as no growth, <20, 20-50, 51-100, or >100 CFU/10 mL sonicate fluid. Sonicate cultures from cement spacers and cultures yielding more than 1 microorganism were excluded. Sensitivity and specificity of each cutoff point was evaluated. Results: A total of 1448 sonicate fluid cultures were evaluated, 68% from knees and 32% from hips. PJI was present in 644 (44%) cases. Sensitivity of sonicate culture was 75.0% at <20 CFU/10 mL, 55.3% at ≥20 CFU/10 mL, 46.9% at >51 CFU/10 mL, and 39.8% at >100 CFU/10 mL. Specificity was 78.2%, 99.8%, 100%, and 100%, at the 4 cutoff points, respectively. Conclusions: A cutoff point for sonicate fluid culture positivity of ≥20 CFU/10 mL is suitable for PJI diagnosis.

Central adiposity as a predictor of mortality in older adults: Identification of cutoffs using generalized additive models.

Background: Obesity is associated with premature mortality in adults; however, this association has been inconsistent in the older adult population. In addition, there is a lack of specific cutoff points for indicators of negative health outcomes in older adults. Methods: This is a prospective study with 796 non-institutionalized older adults. Data on sociodemographic characteristics, lifestyle, food consumption, and nutritional status were obtained at baseline. Generalized additive models were used to identify cutoff points for the waist circumference (WC) and waist-to-height ratio (WHtR) and Cox proportional hazards models to assess the independent association between adiposity and mortality. Results: Over the 9 years of follow-up, 197 deaths (24.7%) occurred, of which 51.8% were men, with a mean age of 76.1 ± 9.0 years. Older adults at higher risk of death had WHtR of <0.52 or ≥0.63 and WC of <83 cm or ≥101 cm. An increased risk of death was observed in older adults with high WC (HR: 2.03 95% CI: 1.20-3.41) and high WHtR (HR: 1.51 95% CI: 1.01-2.26) in the adjusted models, and an increase in WC was a risk factor for higher CVD mortality (HR: 2.09, 95% CI: 1.12-3.88) in the adjusted models. Conclusion: Adiposity was associated with an increased risk of death in older adults. In view of these results and considering the lack of cutoff points for anthropometric indices in Brazilian older adults, further studies are needed to confirm the WC and WHtR cutoff values found in this study.

Optimal BMI cutoff points in obesity screening for Chinese college students.

Objective: An accurate BMI classification system specific to the population is of great value in health promotion. Existing studies have shown that the BMI recommended cut-off value for adults is not suitable for college students. Thus, the current study aims to identify optimal BMI cutoff points in obesity screening for Chinese college students. Methods: Anthropometric assessments were performed on 6,798 college students (Male = 3,408, Female = 3,390) from three universities in Jiangsu, China. Exploratory factor analysis (EFA) was conducted to establish the standardized models to estimate anthropometry for male and female students. Further indices were derived from the assessments, including body mass index (BMI), relative fat mass (RFM), obesity degree percentage (OBD%), waist-to-hip ratio (WHR), waist circumference (WC), and body fat percentage (BF%). The anthropometric index with the highest correlation to the models for male and female students were selected as the gold standard for obesity screening. Receiver operating characteristic (ROC) curve was applied to evaluate diagnostic value of each anthropometric index according to the area under curve (AUC). Youden index maximum points determined the optimal cutoff points with the highest accuracy in obesity screening. Results: The anthropometric models for both male and female students consisted of three factors. Vervaeck index was selected as the gold standard for obesity screening. By comparing AUC of the anthropometric indices, we found BMI provided the highest value in obesity screening. Further analysis based on Youden index identified the optimal BMI of 23.53 kg/m2 for male and 23.41 kg/m2 for female. Compared with the universal standard recommended by World Health Organization (WHO), the adjusted BMI criteria were characterized by high sensitivity as well as specificity. Conclusion: BMI is the most appropriate anthropometric index of obesity screening for Chinese college students. The optimal cutoff points were lower than the WHO reference. Evidence substantiated the adjusted BMI criteria as an effective approach to improve accuracy of obesity screening for this population.

Proposition of Cutoff Points for Anthropometric Indicators to Identify High Blood Pressure in Adolescents.

Aim: To propose cutoff points for anthropometric indicators for high blood pressure (HBP) screening in adolescents and to identify, among these indicators, those more accurately for boys and girls. Methods: This cross-sectional study was carried out in the city of São José, SC, Brazil with 634 adolescents aged 14 to 19 years. Blood pressure levels were measured using a digital oscillometric sphygmomanometer and adolescents were classified as having HBP or not. Anthropometric indicators were calculated based on anthropometric measurements such as body mass (BM), height, waist circumference (WC), hip circumference (HC) and triceps, subscapularis, suprailiac, and midcalf skinfold thickness (SF). The Receiver Operating Characteristic Curve (ROC) was used to analyze the predictive capacity of anthropometric indicators in the identification of HBP. Results: Higher values of Area Under the Curve (AUC) were for the anthropometric indicators BM (0.67; 95%CI: 0.62-0.72), body mass index (BMI) (0.67; 95%CI: 0.62-0.72), and WC (0.67; 95%CI: 0.62-0.71) for males. For females, no anthropometric indicator had discriminatory power for HBP screening. The cutoff points for the anthropometric indicators with discriminatory power for HBP screening in males were BM > 64.80 Kg, BMI > 21.76 Kg/m2, fat percentage (FP) > 15.75, waist height to ratio (WHtR) > 0.41, WC > 73.00 cm, and HC > 92.25 cm. Conclusion: Anthropometric indicators of body adiposity had greater discriminatory power of HBP screening in males. For females, caution is suggested because the anthropometric indicators showed AUC values (95%CI) below 0.60.

Review and meta-analysis for the caregiver's feeding styles questionnaire administered to low-income families.

The Caregiver's Feeding Styles Questionnaire (CFSQ) is a well-established measure which uses scores along two dimensions of demandingness and responsiveness to classify low-income parents into one of four feeding style typologies (authoritative, authoritarian, indulgent, and uninvolved; Hughes, et al., 2005). The measure is widely used by researchers to explore the relationship between feeding style and child weight status but has not been evaluated comprehensively in a review or meta-analysis. The aims of this study were to 1) compare established median cutoffs for responsiveness and demandingness in parent feeding (k = 5; see Hughes et al., 2012) to current median splits along these two dimensions for a larger sample of articles (k = 19) and 2) evaluate the relation between children's BMI, demandingness and responsiveness, and parent feeding style categories. Results indicated that the cutoffs for responsiveness and demandingness initially established based on five studies of low-income families did not differ significantly with the addition of 19 studies. Child BMI z-scores (k = 8) were above average for all four parent feeding style categories and highest for indulgent parents, which was consistent with the literature outlining low-income children at higher risk for obesity and children of indulgent parents being particularly at risk. While heterogeneity of samples should be considered, study results suggested that the CFSQ distribution for responsiveness and demandingness was relatively generalizable across low-income samples, though heterogeneity was higher among caregiver's feeding style categories. Furthermore, the study confirmed that parent feeding styles were related to child weight status in a meaningful way, but all children in these low-income samples, on average, were heavier than their same-aged peers across all parent feeding styles.

Development Assessment Scale for Indian Infants: A Systematic Review and Perspective on Dwindling Cutoffs.

The Developmental Assessment Scale for Indian Infants (DASII) remains the mainstay in India for diagnostic confirmation and validation of upcoming screening tools for development in infants and toddlers. This is an Indian adaptation of Bayley Scales of Infant Development which is the globally accepted gold standard. However, the DASII cutoff points used for categorizing development and distinguishing normal from abnormal development are not in agreement across different studies conducted over the last two decades in India. This is probably due to a lack of mention of cutoff points in the DASII manual and existing literature. The current systematic review summarizes the heterogeneity in literature for interpretation of DASII and its cutoff points. Also, a perspective on the ideal cutoff points is presented.

Difficulties in Establishing "Truth" Conditions in the Assessment of Addictive Smartphone Use in Young Adults.

The smartphone revolution has placed powerful, multipurpose devices in the hands of youth across the globe, prompting worries about the potential negative consequences of these technologies on mental health. Many assessment tools have been created, seeking to classify individuals into problematic and non-problematic smartphone users. These are identified using a cutoff value: a threshold, within the scale range, at which higher scores are expected to be associated with negative outcomes. Lacking a clinical assessment of individuals, the establishment of this threshold is challenging. We illustrate this difficulty by calculating cutoff values for the Short Version of the Smartphone Addiction Scale (SAS-SV) in 13 Spanish-speaking samples in 11 countries, using common procedures (i.e., reliability, validity, ROC methodology). After showing that results can be very heterogeneous (i.e., they lead to diverse cutoff points and rates of addiction) depending on the decisions made by the researchers, we call for caution in the use of these classifications, particularly when researchers lack a clinical definition of true addiction-as is the case with most available scales in the field of behavioral addictions-which can cause an unnecessary public health alert.

Association between different cutoff points for objectively measured moderate-to-vigorous physical activity and cardiometabolic markers in older adults.

BACKGROUND: Regular moderate-to-vigorous physical activity (MVPA) is inversely associated with cardiovascular diseases in older adults. However, it remains unclear how the use of different cutoff points affects the associations with cardiovascular markers. OBJECTIVE: To analyze the association between different cutoff points for objectively measured MVPA and cardiometabolic markers in older adults. METHODS: This was a cross-sectional study involving 425 older adults (aged ≥60 years) from the EpiFloripa Ageing cohort study. We used ActiGraph accelerometers to measure MVPA in total minutes and in bouts (≥10 min) for at least 4 days. The tested cardiometabolic markers were waist circumference (WC), systolic blood pressure (SBP), diastolic blood pressure (DBP), high-density lipoprotein cholesterol (HDL-c), body mass index (BMI), triglycerides, fasting glucose and glycated hemoglobin (HbA1c). To identify MVPA, we used the cutoff points of Freedson et al. (≥ 1952 counts/min), Copeland and Esliger (≥ 1040 counts/min), and Troiano et al (≥ 2020 counts/min). RESULTS: We observed significant differences in MVPA (total and bouts) between the different cutoff points (p < .001). The magnitude and number of associations between cardiometabolic markers and MVPA varied according to measurement units (total minutes: WC, SBP, DBP, HDL-c, BMI, triglycerides, glucose, and HbA1c versus bouts: WC, DBP, SBP HDL-c, and BMI) and cutoff points (higher associations for the Copeland and Esliger cutoff in total minutes and for the Troiano et al. cutoff in bouts of ≥10 min). CONCLUSION: The use of different cutoff points in evaluating accelerometer-measured MVPA in older adults provides conflicting estimates, which emphasizes the importance of standardized thresholds.

International Waist Circumference Percentile Cutoffs for Central Obesity in Children and Adolescents Aged 6 to 18 Years.

CONTEXT: No universal waist circumference (WC) percentile cutoffs used have been proposed for screening central obesity in children and adolescents. OBJECTIVE: To develop international WC percentile cutoffs for children and adolescents with normal weight based on data from 8 countries in different global regions and to examine the relation with cardiovascular risk. DESIGN AND SETTING: We used pooled data on WC in 113,453 children and adolescents (males 50.2%) aged 4 to 20 years from 8 countries in different regions (Bulgaria, China, Iran, Korea, Malaysia, Poland, Seychelles, and Switzerland). We calculated WC percentile cutoffs in samples including or excluding children with obesity, overweight, or underweight. WC percentiles were generated using the general additive model for location, scale, and shape (GAMLSS). We also estimated the predictive power of the WC 90th percentile cutoffs to predict cardiovascular risk using receiver operator characteristics curve analysis based on data from 3 countries that had available data (China, Iran, and Korea). We also examined which WC percentiles linked with WC cutoffs for central obesity in adults (at age of 18 years). MAIN OUTCOME MEASURE: WC measured based on recommendation by the World Health Organization. RESULTS: We validated the performance of the age- and sex-specific 90th percentile WC cutoffs calculated in children and adolescents (6-18 years of age) with normal weight (excluding youth with obesity, overweight, or underweight) by linking the percentile with cardiovascular risk (area under the curve [AUC]: 0.69 for boys; 0.63 for girls). In addition, WC percentile among normal weight children linked relatively well with established WC cutoffs for central obesity in adults (eg, AUC in US adolescents: 0.71 for boys; 0.68 for girls). CONCLUSION: The international WC cutoffs developed in this study could be useful to screen central obesity in children and adolescents aged 6 to 18 years and allow direct comparison of WC distributions between populations and over time.

Developing sarcopenia criteria and cutoffs for an older Caucasian cohort - a strictly biometrical approach.

BACKGROUND: The aim of this strictly statistical approach was to provide a figure discrimination in a homogeneous cohort that is based on a main component, which includes disability, physical performance, and autonomy parameters. METHODS: We used data of 939 community-dwelling men aged ≥70 years, living in the area of Erlangen-Nürnberg, Germany. Briefly, we conducted a scaled principal component analysis based on criteria related to "physical function", "disability", "weakness", and "autonomy" to identify men who are likely to have sarcopenia as per the recognized sarcopenia criteria. Next, we applied fast-and-frugal decision trees, logistic regression, and classification and regression decision trees to classify men with and without sarcopenia, applying the 5% prevalence rate identified for this cohort by recent studies. RESULTS: In summary, the best fast-and-frugal decision trees included gait velocity, handgrip strength, and two skeletal muscle mass indices (SMI) - appendicular skeletal muscle mass (ASMM)/body mass index (BMI) and ASMM/height2. Briefly, men below the cutoff point of 1.012 m/s for gait velocity were directly classified as sarcopenic. Faster men with a handgrip strength of >34.5 kg were excluded from further screening, while their weaker peers were assessed for SMI. Firstly, an ASMM/BMI-based exclusion criterion of >0.886 indicates no sarcopenia; while in men with a lower BMI-based SMI, an ASMM/height2 of <7.25 kg/m2 indicates sarcopenia. Of importance, about 72% of the participants can be classified without an SMI assessment. CONCLUSION: The present approach that applied recognized sarcopenia criteria and was based on a predominately functional understanding of sarcopenia provided a simple and feasible decision rule for sarcopenia discrimination. In summary, we consider our approach as a strictly biometrical contribution within the development of sarcopenia screening methods. However, our tool needs to be further evaluated to validate its appropriateness to discriminate sarcopenia in this relevant cohort.

Predictive capacity of indicators of adiposity in the metabolic syndrome in elderly individuals / Capacidade preditiva de indicadores de adiposidade sobre a síndrome metabólica em idosos

ABSTRACT Objective To evaluate the predictive ability of adiposity indicators as MetS predictors in elderly individuals. Methods Cross-sectional study enrolled in the Estratégia Saúde da Família (Family Health Strategy). Anthropometric measurements were measured. Body Mass Index, Waist-Hip Ratio, Waist-Height Ratio, Conicity Index and Body Adiposity Index were calculated. Blood was collected and resting blood pressure was measured. MetS was classified according to the harmonizing criteria. The predictive ability of anthropometric variables was evaluated using Receiver Operating Characteristic curves. Results Regarding male individuals, our research indicates that the BMI, Waist-Height Ratio and Waist Hip Ratio are better predictors and they are equivalent to each other. As for female individuals, results show that the Body Mass Index and Waist-Height Ratio are better predictors and equivalent to each other. Conclusion Waist-Height Ratio and Body Mass Index are good MetS predictors for elderly individuals, especially among men. More research in this area is important. Comitê de Ética em Pesquisa com Seres Humanos da Universidade Federal de Viçosa. (Viçosa University Ethics Committee in Research with Human Beings) (nº 039/2011).

RESUMO Objetivo Este estudo objetivou avaliar a capacidade preditiva dos indicadores de adiposidade como preditores da Síndrome Metabólica em idosos. Métodos Trata-se de estudo transversal com idosos inscritos na Estratégia Saúde da Família. Foram aferidas medidas antropométricas e calculados o Índice de Massa Corporal, a Relação Cintura-Quadril, a Relação Cintura-Estatura, o Índice de Conicidade e o Índice de Adiposidade Corporal. Foi coletada amostra sanguínea e aferida a pressão arterial de repouso. A Síndrome Metabólica foi classificada de acordo com os Critérios Harmonizados. A capacidade preditiva das variáveis antropométricas foi avaliada por meio das curvas Receiver Operating Characteristic. Resultados Para o sexo masculino, o Índice de Massa Corporal, a Relação Cintura-Estatura e a Relação Cintura-Quadril são melhores preditores e equivalentes entre si. Já para o sexo feminino, os dois primeiros são melhores preditores e equivalentes entre si. Conclusão Concluiu-se que o Índice de Massa Corporal e a Relação Cintura-Estatura são bons preditores da Síndrome Metabólica em indivíduos idosos, especialmente entre homens. Mais investigações nesse âmbito se fazem importantes. Comitê de Ética em Pesquisa com Seres Humanos da Universidade Federal de Viçosa. (nº 039/2011).

Cutoff Points of BMI for Classification of Nutritional Status Using Bioelectrical Impedance Analysis.

The objective of this study was to improve the cutoff points of the traditional classification of nutritional status and overweight / obesity based on the BMI in a Brazilian sample. A cross-sectional study was conducted on 1301 individuals of both genders aged 18 to 60 years. The subjects underwent measurement of weight and height and bioelectrical impedance analysis. Simple linear regression was used for statistical analysis, with the level of significance set at p < 0.05. The sample consisted of 29.7% men and 70.3% women aged on averaged 35.7 ± 17.6 years; mean weight was 67.6 ± 16.0 kg, mean height was 164.9 ± 9.5 cm, and mean BMI was 24.9 ± 5.5 kg/m2. As expected, lower cutoffs were found for BMI than the classic reference points traditionally adopted by the WHO for the classification of obesity, i.e., 27.15 and 27.02 kg/m2 for obesity for men and women, respectively. Other authors also follow this tendency, Romero-Corral et al. (2008) suggested 25.8 to 25.5 kg/m2 for American men and women as new values for BMI classification of obesity. Gupta and Kapoor (2012) proposed 22.9 and 28.8 kg/m2 for men and women of North India. The present investigation supports other literature studies which converge in reducing the BMI cutoff points for the classification of obesity. Thus, we emphasize the need to conduct similar studies for the purpose of defining these new in populations of different ethnicities.

The six obesity indices, which one is more compatible with metabolic syndrome? A population based study.

OBJECTIVES: The present study was conducted to determine the best discriminators in the diagnosis of the metabolic syndrome (MetS) among six obesity indexes. Furthermore the optimal cutoff points for all obesity indexes were determined. METHODS: The baseline data of 5910 subjects of Haraz cohort study which was conducted in northern Iran were analyzed. Receiver operating characteristic (ROC) analyses were separately performed to determine discriminatory power of six obesity indexes, including, body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR), abdominal volume index (AVI) and conicity index (CI) for diagnosis of at least two other components of MetS. Youden index was used to determine the optimal cutoff points. RESULTS: While the optimal cutoff points in men were 26.0kg/m2 for BMI, 90cm for WC, 0.90 for WHR, 0.53 for WHtR, 16.6 (cm2) for AVI and 1.24(m32/kg12) for CI, the optimal values in women were 29.0kg/m2 for BMI, 91cm for WC, 0.86 for WHR, 0.58 for WHtR, 17.0(cm2) for AVI and 1.23 (m32/kg12) for CI. The prevalence of overweight or obesity was 46.1% to 54.1% in women and 49.5% to 53.6% in men based on various obesity indexes. The area under the ROC curves (AUCs) varied from 0.671(0.651-0.690) for CI to 0.718(0.700-0.736) for WC in men and from 0.668 (0.646-0.690) for BMI to 0.755(0.735-0.774) for WHR and CI in women. CONCLUSION: Except for CI in men and BMI in women, other obesity indexes were good discriminator in the diagnosis of the MetS.

Contabilidad, validez de criterio y discriminante del Montreal Cognitive Assessment (MoCA) test, en un grupo de adultos de Bogotá / Reliability, criterion and discriminant validity of the Montreal Cognitive Assessment Test (MoCA) in a group of adults from Bogotá

Resumen Introducción: el MoCA-test es un instrumento breve de tamizaje, sensible y específico, utilizado para la detección del deterioro cognitivo leve (DCL) y la demencia, con puntos de corte que varían según la población estudiada. Objetivo: evaluar la confiabilidad y validez discriminante del MoCA-test, en un grupo de adultos de Bogotá, con diferentes escolaridades. Material y Métodos: se aplicó el MoCA-test y el MMSE, a 1174 adultos mayores de 50 años de diferentes localidades de Bogotá. Los sujetos con MoCA-test < 26 y MMSE <24, fueron citados a una segunda evaluación aplicándoseles un protocolo amplio y fueron analizados por consenso, para determinar normalidad o deterioro cognitivo. Se determinó la consistencia interna (con coeficiente alpha de Cronbach), confiabilidad test-retest (con coeficiente de Lin), la validez de criterio (con coeficiente de Spearman) y validez discriminante (por medio de curvas ROC) del MoCA-Test. Resultados: la consistencia interna (alfa-Cronbach=0.851) y la confiabilidad test-retest (Lin=0.62) fueron aceptables. La validez de criterio respecto al MMSE, fue moderada (r=0.65). El MoCA mostró capacidad para discriminar entre diferentes grupos diagnósticos y sociodemográficos. El área bajo la curva fue 0.76 para DCL y 0,81 para demencia; el punto de corte para discriminar entre normalidad y DCL en el grupo en general fue 20/21 y entre DCL y demencia 17/18. Estos puntos variaron con el grado de escolaridad. Conclusión: el MoCA-test puede ser el instrumento de tamización en atención primaria, para detectar deterioro cognitivo en nuestra población adulta, considerando los puntos de corte propuestos según la escolaridad. (Acta Med Colomb 2016; 40: 221-228).

Abstract Introduction: the MoCA-Test is a brief, sensitive and specific screening tool used to detect mild cognitive impairment (MCI) and dementia, with cut-off points that vary according to the population studied. Objective: to evaluate the reliability and discriminant validity of the MoCA-test, in a group of adults from Bogotá, with different levels of schooling. Material and Methods: the MoCA-test and the MMSE were applied to 1174 adults over 50 years old from different locations in Bogotá. Subjects with MoCA-test <26 and MMSE <24, were referred to a second evaluation by applying a broad protocol and were analyzed by consensus, to determine normality or cognitive impairment. Internal consistency (with Cronbach's alpha coefficient), test-retest reliability (with Lin coefficient), criterion validity (with Spearman's coefficient) and discriminant validity (using ROC curves) of the MoCA-Test were determined. Results: internal consistency (alpha-Cronbach = 0.851) and test-retest reliability (Lin = 0.62) were acceptable. The criterion validity with respect to MMSE was moderate (r = 0.65). The MoCA-test showed the capacity to discriminate between different diagnostic and sociodemographic groups. The area under the curve was 0.76 for MCI and 0.81 for dementia; the cutoff point for discriminating between normality and MCI in the group in general was 20/21 and between MCI and dementia 17/18. These points varied with the level of schooling. Conclusion: the MoCA-test can be the screening tool in primary care in order to detect cognitive impairment in our adult population, considering the proposed cutoff points according to schooling. (Acta Med Colomb 2016; 40: 221-228).

Cutoff points of waist circumference and trunk and visceral fat for identifying children with elevated inflammation markers and adipokines: The Healthy Growth Study.

OBJECTIVES: Excessive fat storage is accompanied by several comorbidities in children and early identification of elevated abdominal fat may be extremely valuable in early prevention of cardiometabolic risk. The aim of the present study was to establish cutoff points for waist circumference trunk and visceral fat, thus identifying increased likelihood of elevated inflammatory markers and adipokines in children. METHODS: A representative sample of schoolchildren (aged 9-13 y) participated in a cross-sectional epidemiologic study conducted in Greece. Anthropometric and physical examination data, biochemical indices, and socioeconomic information (collected from parents) were assessed for all children. Central adiposity markers (trunk and visceral fat) were collected with bioelectrical impedance analysis for 999 children. RESULTS: Specific cutoff values of abdominal adiposity indices indicating increased likelihood of elevated levels of C-reactive protein, interleukin-6, and leptin and decreased levels of adiponectin were calculated by sex. These cutoff values were; 67.5 cm for boys and 69.5 cm for girls for waist circumference, 17.75% for boys and 22.65% for girls for trunk fat mass percentage, and 3.95 for boys and 2.55 for girls for visceral fat rating. CONCLUSIONS: To our knowledge, this is the first study to establish simple cutoff points for abdominal adiposity indices identifying children at high risk for elevated inflammatory markers and decreased adipokine levels. Future studies are essential to confirm these findings.

Fatty liver index vs waist circumference for predicting non-alcoholic fatty liver disease.

AIM: To determine the discriminatory performance of fatty liver index (FLI) for non-alcoholic fatty liver disease (NAFLD). METHODS: The data of 5052 subjects aged over 18 years were analyzed. FLI was calculated from body mass index, waist circumference (WC), triglyceride, and gamma glutamyl transferase data. Logistic regression analysis was conducted to determine the association between FLI and NAFLD. The discriminatory performance of FLI in the diagnosis of NAFLD was evaluated by receiver operating characteristic analysis. Area under the curves (AUCs) and related confidence intervals were estimated. Optimal cutoff points of FLI in the diagnosis of NAFLD were determined based on the maximum values of Youden's index. RESULTS: The mean age of men and women in the study population were 44.8 ± 16.8 and 43.78 ± 15.43, respectively (P = 0.0216). The prevalence of NAFLD was 40.1% in men and 44.2% in women (P < 0.0017). FLI was strongly associated with NAFLD, so that even a one unit increase in FLI increased the chance of developing NAFLD by 5.8% (OR = 1.058, 95%CI: 1.054-1.063, P < 0.0001). Although FLI showed good performance in the diagnosis of NAFLD (AUC = 0.8656 (95%CI: 0.8548-0.8764), there was no significant difference with regards to WC (AUC = 0.8533, 95%CI: 0.8419-0.8646). The performance of FLI was not significantly different between men (AUC = 0.8648, 95%CI: 0.8505-0.8791) and women (AUC = 0.8682, 95%CI: 0.8513-0.8851). The highest performance with regards to age was related to the 18-39 age group (AUC = 0.8930, 95%CI: 0.8766-0.9093). The optimal cutoff points of FLI were 46.9 in men (sensitivity = 0.8242, specificity = 0.7687, Youden's index = 0.5929) and 53.8 in women (sensitivity = 0.8233, specificity = 0.7655, Youden's index = 0.5888). CONCLUSION: Although FLI had acceptable discriminatory power in the diagnosis of NAFLD, WC was a simpler and more accessible index with a similar performance.