Variance in Heart Rate And Maximum Predicted Heart Rate on Stress Test with Changing Body Mass index in Young And Middle Old Age Individuals

The aim of the present study was to analyse body composition, anxiety, cardiovascular, and physical activity factors related with academic performance of school students as well as to analyse differences, by age, in these factors. We analysed in 266 primary school students’ (8.81 ± 1.62 years, range: 5–13 years) heart rate, anthropometric variables to calculate body mass index, physical activity performance, anxiety levels and academic results by the average of marks. Students were divided in two different groups, firstly by their lower or higher academic performance, and secondly by age. Results showed a negative correlation between academic performance and age, weight, body mass index and trait anxiety variables. Additionally, significant differences were found by age, presenting older students higher scores in body mass index and lower physical activity, trait anxiety, heart rate and academic performance values than younger students. Overweight and obesity may have a great impact in academic performance in children and we pointed out the necessity to establish programs related with healthy habits which include improvements in physical activity and nutrition behaviours with the objective to enhance children’s health general status, psychological profile, cognitive and motor development, and academic performance.

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Weight and Body Mass Index in Old Age: Do They Still Matter?

Journal of the American Geriatrics Society ◽

10.1111/jgs.14952 ◽

2017 ◽

Vol 65 (9) ◽

pp. 1898-1899 ◽

Cited By ~ 2

Author(s):

Tamara B. Harris

Keyword(s):

Body Mass Index ◽

Old Age ◽

Body Mass

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P814 Independent association of body mass index and left atrial strain in patients with non valvular atrial fibrillation. The NeAfib-Echo registry

European Heart Journal - Cardiovascular Imaging ◽

10.1093/ehjci/jez319.467 ◽

2020 ◽

Vol 21 (Supplement_1) ◽

Author(s):

L Esposito ◽

R Sorrentino ◽

V Capone ◽

C Santoro ◽

M Lembo ◽

...

Keyword(s):

Atrial Fibrillation ◽

Body Mass Index ◽

Heart Rate ◽

Body Mass ◽

Left Atrial ◽

Longitudinal Strain ◽

Overweight And Obesity ◽

Volume Index ◽

The Third ◽

Lv Mass

Abstract Background Overweight and obesity are related to the risk of new-onset atrial fibrillation (AF). Peak atrial longitudinal strain (PALS) is an advanced echocardiographic parameter of left atrial (LA) function with a recognized diagnostic and prognostic role in both the general population and AF. Purpose To investigate the impact of body mass index (BMI) on LA function by utilizing standard and advanced echocardiography in patients with non-valvular AF. Methods In the NeAfib-Echo registry, 395 consecutive adult patients with non-valvular AF (F/M: 175/220; mean age 70.6 ± 11 years, BMI: 27.8 ± 5.6 kg/m²) were enrolled. 215 patients (54.1%) had permanent/persistent AF (prAF) and 178 (45.9%) had paroxysmal AF (pxAF). Anthropometric parameters and blood pressure (BP) were recorded and CHA2DS2VASc score was calculated. Patients underwent a complete echo-Doppler exam, including determination of PALS and left ventricular (LV) global longitudinal strain (GLS) (both reported in absolute values). The overall population was divided according to BMI tertiles: first tertile <25.3 Kg/m² (n = 127); second tertile 25.3-29 Kg/m² (n = 137); third tertile > 29.3 Kg/m² (n = 130). Results No significant difference of sex prevalence, age, systolic BP and heart rate was found among the three BMI tertiles, whereas diastolic BP was higher in the third tertile (p < 0.001). CHA2DS2VASc score did not significantly differ among tertiles. In the pooled population LV mass index (LVMi) (p = 0.001) progressively increased from the first to the third tertile (p < 0.001), whereas LA volume index, LV ejection fraction (EF), GLS and E/e" ratio were not significantly different among the three groups. PALS was lower in third tertile (14.3 ± 8.2%) versus both the first (19.0 ± 11.5%) and the second tertile (17.7 ± 10.6%) (p < 0.002). In separate sub-analyses according to AF type, PALS was significantly lower in the first than the third tertile in the PxAF group (p < 0.01) but not in patients with PrAF (p = 0.158). In the pooled population PALS was significantly related with BMI (r= -0.17, p < 0.001) (Figure) but also with age, heart rate, LVMi, LV EF, GLS, E/e’ ratio and pulmonary artery systolic pressure (PAPS). By a multilinear regression analysis, after adjusting for CHA2DS2VASc score, LV mass index, LV EF, E/e’ ratio and PAPs, BMI remained independently associated with PALS (standardized β coefficient = -0.127, p < 0.02) (cumulative R² =0.41, SEE = 8.5%, p < 0.0001). Conclusions In patients with non valvular AF, overweight and obesity exert a detrimental effect on LA function as testified by the gradual PALS reduction with the increase of BMI tertiles. BMI is associated with PALS independently of several confounders including CHA2DS2VASc. Besides CHA2DS2VASc score, BMI could be considered as an additional factor for evaluating cardiovascular risk in non valvular AF. Abstract P814 Figure. Relation between BMI and PALS

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Effects of Metformin Added to Insulin in Adolescents with Type 1 Diabetes: An Exploratory Crossover Randomized Trial

Journal of Diabetes Research ◽

10.1155/2020/7419345 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10

Author(s):

Daizhi Yang ◽

Jinhua Yan ◽

Hongrong Deng ◽

Xubin Yang ◽

Sihui Luo ◽

...

Keyword(s):

Body Mass Index ◽

Heart Rate ◽

Heart Rate Variability ◽

Type 1 Diabetes ◽

Insulin Sensitivity ◽

Body Mass ◽

Autonomic Function ◽

Insulin Dose ◽

Glucose Variability

Background. To comprehensively assess the effects of metformin added to insulin on metabolic control, insulin sensitivity, and cardiovascular autonomic function in adolescents with type 1 diabetes. Materials and Methods. This was an exploratory, crossover, randomized trial conducted in adolescents with type 1 diabetes aged 12-18 years old. Participants were randomly received metformin (≤1000 mg/d) added to insulin for 24 weeks followed by insulin monotherapy for a subsequent 24 weeks or vice versa. Blood pressure, body mass index, insulin dose, estimated insulin sensitivity, glycated hemoglobin A1c (HbA1c), and lipid profiles were measured, with a 72-hour continuous glucose monitoring and 24-hour Holter monitoring performed at baseline, 24, and 50 weeks for the assessments of glucose variability and heart rate variability. Results. Seventeen patients with mean ± SD age 14.4 ± 2.3 years , body mass index 18.17 ± 1.81 kg / m 2 , median (IQR) diabetes duration 4.50 (3.58, 6.92) years, and HbA1c 9.0% (8.5%, 9.4%) were enrolled. The between-group difference in HbA1c of 0.28% (95% CI -0.39 to 0.95%) was not significant ( P = 0.40 ). Changes in body mass index, insulin dose, blood pressure, lipid profiles, and estimated insulin sensitivity were similar for metformin add-on vs. insulin monotherapy. Glucose variability also did not differ. Compared with insulin monotherapy, metformin add-on significantly increased multiple heart rate variability parameters. Conclusions. Metformin added to insulin did not improve metabolic control or glucose variability in lean/normal-weight adolescents with type 1 diabetes. However, metformin added to insulin significantly increased heart rate variability, suggesting that metformin might improve cardiovascular autonomic function in this population.

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