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This study evaluated the predictive ability of 11 obesity- and lipid-related parameters, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WtHR), body roundness index (BRI), “A” body-shape index (ABSI), conicity index (C), visceral adiposity index (VAI), triglyceride-to-glucose fasting index (TyG), triglyceride-to-glucose fasting related to BMI (TyG-BMI), triglyceride-to-glucose fasting related to WC (TyG-WC), and triglyceride-to-glucose fasting related to WtHR (TyG-WtHR), to identify patients from an elderly Colombian population with a high risk of prediabetes according to the 2016 American Diabetes Association criteria. The data were obtained from the 2015 Colombian Health and Wellbeing and Aging Survey. A total of 3307 elderly Colombian individuals (aged over 60 years) were included. Anthropometric data, fasting plasma glucose, blood lipid profiles, family history, and health-related behaviors were assessed, and prediabetes was defined as a fasting plasma glucose of 100 to 125 mg/dL. The areas under the receiver operating characteristic (ROC) curves (AUCs) were calculated for each anthropometric indicator, using the prediabetes classification to identify their sensitivity and specificity, and these indicated that the prevalence of prediabetes was 25.3% in this population. After adjusting for potential confounding factors, the TyG index was strongly associated with the odds of having prediabetes in both sexes, and multivariate logistic regression analysis showed that the ORs for prediabetes increased across quartiles (p < 0.001). The TyG index was best able to identify prediabetes in either sex (AUC and optimal cut-off = 0.700 and 8.72, and 0.695 and 8.92 for men and women, respectively), suggesting that compared to the other parameters, the TyG index has the best discriminative power to predict prediabetes in the whole population. Thus, we propose the TyG index be used as a complementary marker for assessing prediabetes in older adults.

The purpose of this study was to compare the neurotrophic factor response following one session of high-intensity exercise, resistance training or both in a cohort of physically inactive overweight adults aged 18–30 years old. A randomized, parallel-group clinical trial of 51 men (23.6 ± 3.5 years; 83.5 ± 7.8 kg; 28.0 ± 1.9 kg/m2) who are physically inactive (i.e., < 150 min of moderate-intensity exercise per week or IPAQ score of <600 MET min/week for >6 months) and are either abdominally obese (waist circumference ≥90 cm) or have a body mass index, BMI ≥25 and ≤ 30 kg/m2 were randomized to the following four exercise protocols: high-intensity exercise (4 × 4 min intervals at 85–95% maximum heart rate [HRmax] interspersed with 4 min of recovery at 75–85% HRmax) (n = 14), resistance training (12–15 repetitions per set, at 50–70% of one repetition maximum with 60 s of recovery) (n = 12), combined high-intensity and resistance exercise (n = 13), or non-exercising control (n = 12). The plasma levels of neurotrophin-3 (NT-3), neurotrophin-4 (also known as neurotrophin 4/5; NT-4 or NT-4/5), and brain-derived neurotrophic factor (BDNF) were determined before (pre-exercise) and 1-min post-exercise for each protocol session. Resistance training induced significant increases in NT-3 (+39.6 ng/mL [95% CI, 2.5–76.6; p = 0.004], and NT-4/5 (+1.3 ng/mL [95% CI, 0.3–2.3; p = 0.014]), respectively. Additionally, combined training results in favorable effects on BDNF (+22.0, 95% CI, 2.6–41.5; p = 0.029) and NT-3 (+32.9 ng/mL [95% CI, 12.3–53.4; p = 0.004]), respectively. The regression analysis revealed a significant positive relationship between changes in BDNF levels and changes in NT-4/5 levels from baseline to immediate post-exercise in the combined training group (R2 = 0.345, p = 0.034) but not the other intervention groups. The findings indicate that acute resistance training and combined exercise increase neurotrophic factors in physically inactive overweight adults. Further studies are required to determine the biological importance of changes in neurotrophic responses in overweight men and chronic effects of these exercise protocols.Trial Registration: ClinicalTrials.gov, NCT02915913 (Date: September 22, 2016).

Objetivo: evaluar la relación entre la percepción de las barreras para la práctica de la actividad física (AF) con la presencia de obesidad abdominal (OA) en universitarios de Colombia.Métodos :estudio descriptivo y transversal en 5.663 sujetos entre 18 y 30 años de edad (3.348 hombres), pertenecientes a tres ciudades de Colombia. Se midió la circunferencia de cintura (CC) como indicador de OA y el riesgo se clasificó según valores de referencia internacionales. La autopercepción de barreras se determinó con el cuestionario Barriers to Being Active Quiz (BBAQ-21) validado en Colombia. Se calcularon razones de prevalencia (RP) entre cada dominio del cuestionario y clasificación de OA.Resultados: la prevalencia de obesidad abdominal fue del 10,4% con diferencias por sexo (7,3% hombres vs.12,6% mujeres p < 0,01). La "falta de tiempo", la "influencia social" y la "falta de habilidades" fueron las barreras más prevalentes para cesar la práctica de AF en el grupo de entrevistados con OA en ambos sexos. Al comparar los estudiantes con CC saludable, la RP de presentar OA fue mayor en el grupo de mujeres que en hombres en los dominios del cuestionario BBAQ-21 "falta de tiempo" (RP = 1,33 [IC 95% 1,11-1,60]) vs.(RP = 1,14 [IC 95% 1,03-1,26]) y "falta de recursos" (RP = 1, 93 [IC 95% 11,67-2,24])vs. (RP = 1,83 [IC 95% 1,68-1,99]), respectivamente.Conclusión: una mayor autopercepción de las barreras para realizar AF se relacionó con mayor frecuencia en el grupo con OA en universitarios de Colombia.

Metabolic syndrome (MetS) is one of the major public health problems worldwide. The objective of the present study is to investigate the prevalence and the associated variables of MetS in Colombian collegiate students. This cross-sectional study included a total of 890 (52% women) healthy collegiate students (21.3 ± 3.2 years old). The prevalence of MetS was determined by the definition provided by the International Diabetes Federation (IDF). We further examined associations between the prevalence of MetS and related factors, such as age, gender, anthropometric and body composition, weight status, and nutrition profile. The overall prevalence of MetS was 6.0% (95% CI = 4.5% to 7.6%), and it was higher in men than women. The most prevalent components were low high-density lipoprotein cholesterol, high triglyceride levels, waist circumference, and blood pressure levels. The predisposing factors for having a MetS included: being male, over 23 years old, overweight or obese, and having an unhealthy waist-to-height ratio. In conclusion, the occurrence of MetS in young adults is substantial. These findings may be relevant to health promotion efforts for collegiate students in order to develop prospective studies and screening for young adults, which will aid in targeted intervention development to decrease cardiometabolic risk factors.

BackgroundThe Fantastic Lifestyle Questionnaire was designed for enabling staff working in health sciences and physical activity (PA) areas to measure lifestyles (LS) in the general population. The aim of this study was to assess the lifestyle in a sample of university students.MethodThis was a cross-sectional, descriptive, observational study involving 5,921 subjects’ aged 18- to 30-years-old (3,471 females) from three Colombian cities. Was applied “Fantastic” instrument (that consists of 25 closed items on the lifestyle), translated to Spanish in versions of three and five answers.ResultsHaving a “good LS” was perceived by 57.4% of the females and 58.5% of the males; 14.0% of the females rating their LS as being “excellent” and males 19.3% (p < 0.001); 20.3% of the females and 36.6% of the males stated that they spent more than 20 min/day on PA (involving four or more times per week). Negative correlations between FANTASTIC score and weight (r = −0.113; p < 0.01), body mass index (BMI) (r = −0.152; p < 0.01) and waist circumference (r = −0.178, p < 0.01) were observed regarding females, whilst the correlation concerning males was (r = −0.143, p < 0.05) between Fantastic score and weight, (r = −0.167 for BMI, p < 0.01) and (r = −0.175, p < 0.01 for diastolic blood pressure). In spite of the students being evaluated referring to themselves as having a healthy LS (i.e. giving a self-perceived view of their LS), stated behaviour involving a health risk was observed in the domains concerning nutrition, PA and smoking.ConclusionSpecific diffusion, education and intervention action is thus suggested for motivating the adoption of healthy LS.

Objectives: To verify the validity of multi-frequency bioelectrical impedance analysis (mBCA) for predicting body fat percentage (BF%) in overweight/obese adults using dual-energy X-ray absorptiometry (DXA) as the reference method.Methods: Forty-eight adults participated (54% women, mean age 5 41.0 6 7.3 years old). The Pearson's correlation coefficient was used to evaluate the correlation between BIA and BF% assessed by DXA. The concordance between BF% measured by both methods was obtained with Lin's concordance correlation coefficient and Bland-Altman difference plots.Results: Measures of BF% were estimated as 39.0 (SD 5 6.1) and 38.3 (SD 5 6.5) using DXA and mBCA, respectively. The Pearson's correlation coefficient reflected a strong correlation (r 5.921, P 5 .001). The paired t-test showed a significant mean difference between these methods for obese men BF% of 20.6 [(SD 1.95; 95% CI 5 24.0 to 3.0), P 5.037]. Overall, the bias of the mBCA was 20.6 [(SD 2.2; 95% CI 5 25.0 to 3.7), P 5.041], which indicated that the mBCA method significantly underestimated BF% in comparison to the reference method. Finally, in both genders, Lin's concordance correlation coefficient showed a strong agreement. More specifically the DXA value was qc 5 0.943 (95% CI 5 0.775 to 0.950) and the mBCA value was qc 5 0.948 (95% CI 5 0.778 to 0.978).Conclusions: Our analysis showed a strong agreement between the two methods as reflected in the range of BF%. These results show that mBCA and DXA are comparable methods for measuring body composition with higher body fat percentages. However, due to broad limits of agreement, we can only recommend mBCA for groups of populations.

The purpose of this study was two-fold: to analyze the association between muscular fitness (MF) and clustering of metabolic syndrome (MetS) components, and to determine if fatness parameters mediate the association between MF and MetS clustering in Colombian collegiate students. This cross-sectional study included a total of 886 (51.9% women) healthy collegiate students (21.4 ± 3.3 years old). Standing broad jump and isometric handgrip dynamometry were used as indicators of lower and upper body MF, respectively. Also, a MF score was computed by summing the standardized values of both tests, and used to classify adults as fit or unfit. We also assessed fat mass, body mass index, waist-to-height ratio, and abdominal visceral fat, and categorized individuals as low and high fat using international cut-offs. A MetS cluster score was derived by calculating the sum of the sample-specific z-scores from the triglycerides, HDL cholesterol, fasting glucose, waist circumference, and arterial blood pressure. Linear regression models were used to examine whether the association between MF and MetS cluster was mediated by the fatness parameters. Data were collected from 2013 to 2016 and the analysis was done in 2016. Findings revealed that the best profiles (fit + low fat) were associated with lower levels of the MetS clustering (p <0.001 in the four fatness parameters), compared with unfit and fat (unfit + high fat) counterparts. Linear regression models indicated a partial mediating effect for fatness parameters in the association of MF with MetS clustering. Our findings indicate that efforts to improve MF in young adults may decrease MetS risk partially through an indirect effect on improvements to adiposity levels. Thus, weight reduction should be taken into account as a complementary goal to improvements in MF within exercise programs.