scholarly journals Normal Body Mass Index and Heart Rate Variability

2019 ◽  
Vol 4 (3) ◽  
pp. 175-181 ◽  
Author(s):  
Jitendra Kumar Jain ◽  
Ranjan Maheshwari

The autonomic nervous system (ANS) works in synergy with the Endocrine system that affects the body-mass and height and in turn the body mass index (BMI). The ANS activities are often assessed with one index that is heart rate variability (HRV). Reduced HRV has been reported in underweight (low BMI) and overweight (high BMI) individuals, but there is scarce information available on the relationship between normal BMI and HRV. Further, as per WHO expert consultation report, the Asian population has higher percentage of body fat than their European counterparts, therefore Asian people may have greater risk factors for type 2 diabetes and cardiovascular disease even below the existing upper edge of normal BMI. Thus it was recommended by WHO to consider the intermediate cutoff points within the normal BMI range as 18.5 Kg/m2, 20 Kg/m2, 23 Kg/m2, and 25 Kg/m2 for the Asian population. Therefore, the present study was aimed to investigate ANS activity among intermediate cutoff points of normal BMI using HRV. Seventy young individuals participated in the non-invasive and benign study. Subjects were divided into three groups based on their BMI as per the recommendation of the WHO report; NB1 (18.5<BMI≤20), NB2 (20<BMI<23) and NB3 (23<BMI<25). For all the subjects, 10 min of electrocardiogram was recorded and short term HRV analysis was carried out. Student t test was carried out to find the significance of study parameters in BMI groups. The BMI was correlated with HRV measures using Spearman’s correlation method. Statistically significant negative correlation was found between BMI and various HRV parameters. The sympathovagal balance was comparable in NB1 and NB2 group whereas it shifted towards sympathetic dominance in NB3 group. Higher sympathetic activity for BMI greater than 23 in Indian youth may lead to predictability of risks associated with overweight and obesity

2017 ◽  
Vol 3 (2) ◽  
pp. 47
Author(s):  
Melvi Purwanti ◽  
Eka Ardiani Putri ◽  
M. In’am Ilmiawan ◽  
Wilson Wilson ◽  
Rozalina Rozalina

Abstract: Correlation Between Stress Level And Body Mass Index On Medical Student Of Tanjungpura University. Stress is an unspecific body response disturbed body needs. The body mass index is an indicator for the categories of underweight, normal, overweight, and obesity. The purpose of this study was to determine the correlation between stress level and body mass index on the student at the medical faculty of Tanjungpura University. This study was an analitic the observasional with cross sectional design. A total of 79 students were studied. The study was conducted in medical faculty of Tanjungpura University. Data was analyzed by Spearman test . Result of this study showed that 28,6% students had mild stress level and 45,2% had normal body mass index. Spearman test showed significant correlation between stress level and body mass index (p= 0,000; r= -0,734). There was significant correlation between stress level with body mass index among medical students.Abstrak: Hubungan Tingkat Stres Dengan Indeks Massa Tubuh Mahasiswa PSPD FK Untan. Stres adalah respon tubuh tidak spesifik terhadap kebutuhan tubuh yang terganggu. Indeks massa tubuh adalah indikator untuk kategori underweight, normal, overweight, dan obesitas. Penelitian ini bertujuan untuk mengetahui hubungan tingkat stres dengan indeks massa tubuh mahasiswa Program Studi Pendidikan Dokter Fakultas Kedokteran Universitas Tanjungpura angkatan 2013. Penelitian ini merupakan penelitian analitik observasional dengan pendekatan Cross sectional. Subjek penelitian berjumlah 79 orang mahasiswa. Penelitian dilakukan di Fakultas Kedokteran Universitas Tanjungpura Pontianak. Hasil penelitian diuji dengan uji statistik Rank Spearman. Hasil penelitian menunjukkan bahwa ada 24 orang (28,6%) mengalami stres ringan dan 38 orang (45,2%) dengan berat badan normal. Berdasarkan analisis statistik diperoleh nilai signifikansi (p) yang didapatkan adalah 0,000 dan nilai korelasi (r) adalah 0,734. Terdapat hubungan yang bermakna antara tingkat stres dengan indeks massa tubuh mahasiswa PSPD.


2021 ◽  
pp. 014556132098051
Author(s):  
Matula Tareerath ◽  
Peerachatra Mangmeesri

Objectives: To retrospectively investigate the reliability of the age-based formula, year/4 + 3.5 mm in predicting size and year/2 + 12 cm in predicting insertion depth of preformed endotracheal tubes in children and correlate these data with the body mass index. Patients and Methods: Patients were classified into 4 groups according to their nutritional status: thinness, normal weight, overweight, and obesity; we then retrospectively compared the actual size of endotracheal tube and insertion depth to the predicting age-based formula and to the respective bend-to-tip distance of the used preformed tubes. Results: Altogether, 300 patients were included. The actual endotracheal tube size corresponded with the Motoyama formula (64.7%, 90% CI: 60.0-69.1), except for thin patients, where the calculated size was too large (0.5 mm). The insertion depth could be predicted within the range of the bend-to-tip distance and age-based formula in 85.0% (90% CI: 81.3-88.0) of patients. Conclusion: Prediction of the size of cuffed preformed endotracheal tubes using the formula of Motoyama was accurate in most patients, except in thin patients (body mass index < −2 SD). The insertion depth of the tubes was mostly in the range of the age-based-formula to the bend-to-tip distance.


2021 ◽  
Vol 13 (16) ◽  
pp. 8775
Author(s):  
Laura Redondo-Flórez ◽  
Domingo Jesus Ramos-Campo ◽  
Vicente Javier Clemente-Suárez

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.


Author(s):  
Tapaswini Mishra ◽  
Dipti Mohapatra ◽  
Manasi Behera ◽  
Srimannarayan Mishra

ABSTRACTObjective: Adequate sleep has been considered important for the adolescent’s health and well-being. On the other hand, self-imposed sleepcurtailment is now recognized as a potentially important and novel risk factor for obesity. The objective of the study is to find the association betweenshort sleep duration and obesity (by calculating the body mass index [BMI]) among medical students.Methods: The study was conducted on 100 medical students. A brief history of sleep duration was taken. The height and weight were taken and thebody mass index (BMI) was calculated by formula weight in kg / height in m. Based on the BMI criteria the students were classified into six groups:Underweight, normal, overweight, obese class I, obese class II and obese III. The waist circumference (WC) was also taken. The data obtained werestatistically analysed by ANOVA test and the p < 0.5 was considered significant.2Results: The present cross-sectional study showed that there is an association between short sleep duration and obesity which was highly significant(p<0.001). This study also shows that there is an association between short sleep duration and waist circumference which was also highly significant(p<0.001).Conclusion: The present study observed a high association of short sleep duration among medical students of IMS and SUM Hospital and that shortsleep duration was significantly associated with increased risk of overweight and obesity. We should further investigate whether adults adopting ahealthy lifestyle with short sleep duration would improve their sleeping habits or not.Keywords: Sleep duration, Body mass index, Waist circumference, Obesity.


2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Sameer Al-Ghamdi ◽  
Mamdouh M. Shubair ◽  
Abdulrahman Aldiab ◽  
Jamaan M. Al-Zahrani ◽  
Khaled K. Aldossari ◽  
...  

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
L Esposito ◽  
R Sorrentino ◽  
V Capone ◽  
C Santoro ◽  
M Lembo ◽  
...  

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 &lt;25.3 Kg/m² (n = 127); second tertile 25.3-29 Kg/m² (n = 137); third tertile &gt; 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 &lt; 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 &lt; 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 &lt; 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 &lt; 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 &lt; 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 &lt; 0.02) (cumulative R² =0.41, SEE = 8.5%, p &lt; 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


2018 ◽  
Vol 25 (2) ◽  
Author(s):  
Vasyl Mishchuk ◽  
Galina Grygoruk

Recent research shows that the number of diseases associated with obesity has been increasing. In obese persons, association with functional constipation is noted in 24.0% of cases, and obesity is recorded in 60.0% of patients with functional constipation. Among the possible mechanisms for the development of such a combination are changes in serotonin level in the blood, although the existing data are ambiguous and sometimes controversial.The objective of the study is to investigate the changes in serotonin level in the blood of obese patients in combination with constipation and its relationship with the lipid profile of the blood.Materials and methods. 63 patients with obesity in combination with irritable bowel syndrome with constipation (IBSc), 24 patients with normal body mass index and 10 practically healthy people were examined. 25 patients with obesity and constipation had a body mass index of 32.8±0.24kg/m2, 28 patients – 37.8±kg/m2, and 10 patients – 42.6±0.5kg/m2. In patients with irritable bowel syndrome without obesity, the body mass index was 21.7±0.4kg/m2. The blood serotonin level and lipid profile of the blood was determined in all patients.Results. It was deermined that in case of irritable bowel syndrome with constipation, serotonin level in the blood was reduced. In obesity with IBSc, the concentration of serotonin, on the contrary, was elevated. All patients with IBSc and obesity were marked an elevated level of total cholesterol and triglycerides. A direct correlation between high levels of triglycerides and serotonin concentration in serum of such comorbid patients was detected. The increase in the degree of obesity in the presence of IBSc was accompanied by a decrease in the concentration of cholesterol of high density lipoprotein. Patients with IBSc without excessive body weight had no such deviations.Conclusions. With an increase in the degree of obesity, serotonin level in the blood increases and the lipid blood spectrum worsens.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Daizhi Yang ◽  
Jinhua Yan ◽  
Hongrong Deng ◽  
Xubin Yang ◽  
Sihui Luo ◽  
...  

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.


2019 ◽  
Vol 25 (1) ◽  
Author(s):  
Fariha Binte Hossain ◽  
Gourab Adhikary ◽  
Ariful Bari Chowdhury ◽  
Md Shajedur Rahman Shawon

Abstract Background Although there has been a well-established association between overweight-obesity and hypertension, whether such associations are heterogeneous for South Asian populations, or for different socioeconomic groups is not well-known. We explored the associations of overweight and obesity using South Asian cut-offs with hypertension, and also examined the relationships between body mass index (BMI) and hypertension in various socioeconomic subgroups. Methods We analysed the recent Demographic and Health Survey (DHS) data from Bangladesh, India, and Nepal, with a total of 821,040 men and women. Hypertension was defined by 2017 ACC/AHA cut-offs and by Joint National Committee 7 (JNC7) cut-offs for measured blood pressure and overweight and obesity were defined by measured height and weight. We used multiple logistic regressions to estimate the odds ratios (ORs) with 95% confidence intervals (CIs) of hypertension for overweight and obesity as well as for each 5-unit increase in BMI. Results The prevalence of hypertension using JNC7 cut-offs among participants increased by age in all three countries. The prevalence ranged from 17.4% in 35–44 years to 34.9% in ≥55 years in Bangladesh, from 4.6% in 18–24 years to 28.6% in 45–54 years in India, and from 3.8% in 18–24 years to 39.2% in ≥55 years in Nepal. Men were more likely to be hypertensive than women in India and Nepal, but not in Bangladesh. Overweight and obesity using both WHO and South Asian cut-offs were associated with higher odds of hypertension in all countries. For each 5 kg/m2 increase in BMI, the ORs for hypertension were 1.79 (95% CI: 1.65–1.93), 1.59 (95% CI: 1.58–1.61), and 2.03 (95% CI: 1.90–2.16) in Bangladesh, India, and Nepal, respectively. The associations between BMI and hypertension were consistent across various subgroups defined by sex, age, urbanicity, educational attainment and household’s wealth index. Conclusions Our study shows that the association of BMI with hypertension is stronger for South Asian populations at even lower cut-offs points for overweight and obesity. Therefore, public health measures to reduce population-level reduction in BMI in all population groups would also help in lowering the burden of hypertension.


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