scholarly journals The Physical Fitness Level, Heart Rate, and Heart Rate Recovery among Adolescent Smokers and Non-smokers

2021 ◽  
Vol 9 (T4) ◽  
pp. 101-105
Author(s):  
Nurvita Risdiana ◽  
Syahruramdhani Syahruramdhani ◽  
Armain Suwitno
Keyword(s):  
Heart Rate ◽  
Physical Fitness ◽  
Quantitative Research ◽  
Heart Rate Recovery ◽  
Health Indicators ◽  
Step Test ◽  
Cross Sectional ◽  
Fitness Level ◽  
Adolescent Smokers ◽  
Measurement Results

BACKGROUND: Physical fitness level (PFL), heart rate (HR), and HR recovery (HRR1) were expressed the physical performance of an individual which can be the excellent indicators of health. That parameter differentiates the physical condition between a smoker and a non-smoker. At present, studies about them for adolescent smokers and non-smokers are still limited. Furthermore, they can be the prediction of the health indicators in the future. AIM: The aim of the study was to compare the PFL, HR, and HRR between adolescent smokers and non-smokers METHODOLOGY: This study was conducted by non-experimental and quantitative research with descriptive comparative design and cross-sectional approach. Mann–Whitney test used to describe the distinction between the PFL of students who are adolescent smokers and adolescent non-smokers. The sample data consist of 65 participants selected by purposive sampling collected using Harvard step test and manual HR measurement. RESULTS: After gathered data, we concluded that the PFL of adolescent non-smokers in our samples was significantly higher than smokers with recorded results of p = 0.001 (p < 0.05); HR1, HR60, HR90, and HR180 in adolescent smokers were higher than non-smokers with p = 0.00 (p < 0.05); there were no differences between HRR1 in adolescent smokers and non-smokers with p = 0.042 (p > 0.05). Smoking had effects on PFL and HR. CONCLUSION: The PFL and HR in adolescent non-smokers were better than in smokers but it had no effect on HRR1.

scholarly journals Depressive Symptoms are Associated with Heart Rate Variability Independently of Fitness: A Cross-Sectional Study of Patients with Heart Failure

2019 ◽  
Vol 53 (11) ◽  
pp. 955-963 ◽  
Author(s):  
Fawn A Walter ◽  
Emily Gathright ◽  
Joseph D Redle ◽  
John Gunstad ◽  
Joel W Hughes
Keyword(s):  
Heart Failure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Depressive Symptoms ◽  
Physical Fitness ◽  
Secondary Analysis ◽  
Small Sample ◽  
Step Test ◽  
Cross Sectional ◽  
The Relationship

Abstract Background Depression is associated with reduced heart rate variability (HRV) in healthy and cardiac samples, which may be accounted for by physical fitness. In a small sample of cardiac patients, activity and fitness levels attenuated the relationship between HRV and depression. In the current study of heart failure (HF) patients, we hypothesized that depressive symptoms and HRV would be inversely related and physical fitness would attenuate this association. Purpose To determine if previous associations among depressive symptoms, physical fitness, and HRV would replicate in a sample of HF patients. Methods The sample consisted of HF patients (N = 125) aged 68.55 ± 8.92 years, 68.8% male, and 83.2% Caucasian. The study was cross-sectional and a secondary analysis of a nonrandomized clinical trial (Trial Identifier: NCT00871897). Depressive symptoms were evaluated using the Beck Depression Inventory (BDI)-II, fitness with the 2 min step test (2MST), and HRV during a 10 min resting laboratory psychophysiology protocol. The dependent variable in hierarchical linear regressions was the root mean square of successive differences. Results Controlling for sex, age, β-blocker use, hypertension, and diabetes, higher BDI-II scores significantly predicted lower HRV, β = −.29, t(92) = −2.79, p < .01. Adding 2MST did not attenuate the relationship in a follow-up regression. Conclusion Depressive symptoms were associated with lower HRV in HF patients, independent of physical fitness. Given the prevalence of depression and suppressed HRV common among HF patients, interventions addressing depressive symptoms and other predictors of poor outcomes may be warranted.

HEART RATE MONITORING SYSTEMS IN GROUPS FOR RELIABILITY AND VALIDITY ASSESSMENT OF CARDIORESPIRATORY FITNESS ANALYSIS

2015 ◽  
Vol 27 (06) ◽  
pp. 1550055
Author(s):  
Ren-Guey Lee ◽  
Chih-Yang Chen ◽  
Chun-Chieh Hsiao ◽  
Robert Lin
Keyword(s):  
College Students ◽  
Heart Rate ◽  
Physical Fitness ◽  
Cardiorespiratory Fitness ◽  
Heart Rate Recovery ◽  
Step Test ◽  
Exercise Heart Rate ◽  
Regular Exercise ◽  
Heart Rate Monitoring

According to statistics in Taiwan, the proportion of students engaged in regular exercise has declined drastically with the increase in education level. This study thus aims to provide a platform for monitoring of group cardiorespiratory fitness to allow users such as teachers or coaches to easily monitor a group’s exercise condition, intensity and duration to increase exercise efficiency, promote exercise motivation and reduce exercise risk. Based on group measurement concept and wearable chest strap textiles integrated with heart rate monitoring devices, teachers or coaches can immediately acquire and display all heart rate information on a notebook computer together with synchronous field projection display. The acquired heart rate data can also be automatically recorded and analyzed to assist in assessing the physical fitness. Our proposed platform aims to monitor the cardiorespiratory fitness in group mainly for college students and young office worker. To validate the stability of our platform in the long term, we recruited the college students in a physical fitness class, 35 in total, as the subjects for long term observation. In the experiments the subjects are divided into “varsity group” and “sedentary group” according to whether they are with or without regular exercise habits. Subjects wearing chest straps were instructed to take the 3-minute Step Test and the 5-minute constant intensity exercise test. The results show that the “varsity group” has a lower resting heart rate ([Formula: see text][Formula: see text]bpm vs. [Formula: see text][Formula: see text]bpm), a lower exercise heart rate ([Formula: see text][Formula: see text]bpm vs. [Formula: see text][Formula: see text]bpm) and a lower mean heart rate ([Formula: see text][Formula: see text]bpm vs. [Formula: see text][Formula: see text]bpm). The “Varsity group” also has a higher heart rate recovery percentage at the first minute ([Formula: see text] vs. [Formula: see text]) and the second minute ([Formula: see text] vs. [Formula: see text]). Moreover, all these indexes have a high correlation with the fitness index in the 3-minute Step Test, among which the percentage of heart rate recovery in the first minute shows the highest positive correlation ([Formula: see text], [Formula: see text]). Our wearable heart rate monitoring system can thus be deemed as effective to provide a platform for measurement of group heart rates and for assessment of cardiorespiratory fitness.

Abstract P287: Cardiorespiratory Fitness is Associated With Ambulatory Blood Pressure in Adolescents

Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Eunduck Park ◽  
Devin Volding ◽  
Wendell Taylor ◽  
Wenyaw Chan ◽  
Janet Meininger
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Cardiorespiratory Fitness ◽  
Ambulatory Blood Pressure ◽  
Cardiovascular Health ◽  
Heart Rate Recovery ◽  
Step Test ◽  
Central Adiposity ◽  
Cross Sectional ◽  
Unit Increase

Introduction: Low cardiorespiratory fitness (fitness) and high levels of adiposity are independently associated with higher levels of blood pressure in adolescents. However, it remains uncertain whether the associations between fitness and blood pressure are due to fitness itself or results from lower levels of adiposity. Moreover, there are no studies that have determined the extent to which adiposity, including central adiposity, moderates the association between fitness and 24-hour ambulatory blood pressure (ABP). Hypotheses: 1. Higher levels of fitness will be associated with lower levels of ambulatory systolic (SBP) and diastolic (DBP) blood pressure after adjusting for adiposity and covariates. 2. With adjustments for covariates, adiposity (body mass index [BMI], waist circumference [WC]) will modify the association between fitness and 24-hour SBP and DBP. Methods: A cross-sectional study was conducted in Houston, TX with a sample of 370 adolescents aged 11-16 years. Demographically, the sample was 54% female, 37% African American, 31% Hispanic, 29% non-Hispanic white, and 3% other ethnic/racial groups. Fitness was assessed by a height-adjusted step test and estimated by heart rate recovery, defined as the difference between peak heart rate during exercise and heart rate two minutes post-exercise. Adiposity was measured using dichotomized values for percentiles of BMI (≥ 85 th ) and WC (≥ 50 th ). Ambulatory SBP and DBP (Spacelabs model 90207) were measured every 30-60 minutes over 24 hours on a school day. Mixed-effects regression analysis was used to test the hypotheses with the following covariates: activity, location, and position at the time of each ABP measurement, height, age, sex, ethnicity, sexual maturation level, and mother’s education level. Results: Hypothesis 1: Each unit increase in fitness was associated with a decrease of SBP (-0.058 mmHg, p = 0.001) and DBP (-0.043 mmHg, p < 0.0001) after adjustment for WC and covariates. Each unit increase in fitness was associated with a decrease in SBP (-0.058 mmHg, p = 0.001) and DBP (-0.045 mmHg, p < 0.0001) after adjustment for BMI and covariates. Hypothesis 2: Fitness and BMI ≥ 85 th percentile (or WC ≥ 50 th percentile) interactions were not significantly associated with ambulatory SBP or DBP after adjustment for covariates. Conclusions: Our findings indicate a small but statistically significant inverse effect of fitness on 24-hour ABP in adolescents, and no evidence of a modifying effect of adiposity on this association. Further research is needed to better understand the protective role of fitness on cardiovascular health in adolescents.

scholarly journals Physical fitness of physiotherapy students

2020 ◽  
Vol 25 ◽  
pp. 88-96
Author(s):  
Edward Juhkam ◽  
Ivi Vaher
Keyword(s):  
Physical Fitness ◽  
Professional Competence ◽  
Health Indicators ◽  
Step Test ◽  
First Year ◽  
Normal Range ◽  
Future Health ◽  
Fitness Level ◽  
Waist Hip Ratio ◽  
Physiotherapy Students

One of the inevitable and crucial elements of a physiotherapist’s work, in addition to professional competence, is physical fitness. The aim of the study was to evaluate and compare the level of health and physical fitness of the first year physiotherapy program students in Tartu Health Care College (THCC) and Kaunas College of Applied Sciences (KCAS). The subjects were 20 and 29 physiotherapy students, respectively. The students’ physical fitness has been assessed by the following tests: Hand grip test, Stork test, ACSM’s push up test, Biering–Sorensen test, ACSM’s curl up test, YMCA sit– and– reach test, and Harvard step–test. The physical fitness level of THCC students were average and below average in different categories. Only the endurance of the abdominal muscle of THCC male students was “excellent”. However, the health indicators (BMI and waist-hip ratio) of both gender of THCC remained within normal range. In most tests, both male and female students from KCAS received a good grade and their avarage fitness level was better than students from THCC. Despite the fact that BMI results of KCAS students remained within normal range and did not differ from THCC students result, their waist–hip ratio was higher. This may indicate an increased abdominal obesity and thereby health risk. In conclusion, the fintess level of the first-year physiotherapy students of THCC is not satisfactory that can negatively affect their future health and coping with future work.

scholarly journals Association between C-reactive protein levels and physical fitness in 7 to 9 year old children at poor elementary schools in Surakarta, Indonesia

2009 ◽  
Vol 49 (2) ◽  
pp. 75
Author(s):  
Lilisianawati Lilisianawati ◽  
Endang Dewi Lestari ◽  
Diana Mayasari Hadianto ◽  
Maria Galuh Kamenyangan Sari ◽  
Leilani Lestarina ◽  
...  
Keyword(s):  
Physical Fitness ◽  
High Sensitivity ◽  
Step Test ◽  
Inflammatory Factors ◽  
Low Grade ◽  
Fat Intake ◽  
C Reactive Protein ◽  
Cross Sectional ◽  
Fitness Level ◽  
Reactive Protein

Background  Data  regarding inflammatory factors  in  children arenot  so  well developed  as  in adults. Higher levels  of  physical fitnessmay be helpful in modifying the low-grade inflammatory state  thatis  indexed  by  C-reactive protein (CRP) levels.Objective  To  evaluate the association  of  physical fitness with  CRPlevels in children  and  to identify the possible related factors.Methods  This  cross-sectional study was  conducted  at  poorelementary schools in Surakarta, Indonesia using a group  of  217underweight children aged from 7 to 9 years old. Physical fitnesswas assessed using a modified Harvard Step Test.  CRP  levels weremeasured using a high-sensitivity  assay.  The  association betweenphysical fitness and  CRP  level was assessed using linear regressionanalysis. Multivariate analyses were used to adjust covariates,and statistical analyses were performed using SPSS for Windowssoftware version 15.0.Results  Subjects were 48% female  and  52% male, and elevenchildren (5%) had a  CRP  level  >  5 mg/L. Mean fitness level  andCRP  level did not differ  by  age and gender. Fitness level was notinversely correlated with  CRP  (r=0.10,  P=0.14).  Physical fitnesswas significantly correlated with BMI  (r=0.14;  P=0.04),  physicalactivity  [0R=3.3  (95% CI  1.7  to 6.4)], and fat intake  [0R=0.5(95%  CI  0.2 to 0.9) ].Conclusion  These findings indicate  that  physical fitness  is  notinversely correlated to  CRP  levels in children. However, ourstudy reveased  an  association between high fat intake and lowphysical fitness as well  as  a significant association  betweenhigh physical activiry and physical fitness.

scholarly journals Cardiovascular health indicators in soccer exercise during adolescence: systematic review

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Heloyse Elaine Gimenes Nunes ◽  
Evelinn Amarilha Faria ◽  
Paula Felippe Martinez ◽  
Silvio Assis de Oliveira-Júnior
Keyword(s):  
Blood Pressure ◽  
Heart Rate ◽  
Waist Circumference ◽  
Methodological Quality ◽  
Cardiovascular Health ◽  
Longitudinal Design ◽  
Health Indicators ◽  
Soccer Players ◽  
Cross Sectional ◽  
Blood Institute

Abstract This review analyzed the studies that evaluated cardiovascular health indicators (blood pressure, waist circumference, heart rate, glucose index and lipid blood) in recreational soccer players during adolescence, and identify possible associated factors. The search was performed in the electronic databases (PubMED, SciELO, LILACS, Scopus, SPORTDiscus and Web of Science). Inclusion criteria were: population composed of children and/or adolescents (10–19 years or average age up to 19 years); studies adolescents engaged in recreational soccer regularly and observational studies with cross-sectional or longitudinal design. The process of analysis of studies involved reading titles, abstracts and full texts. After these phases, seven articles were eligible. Regarding the design, all studies were cross-sectional. Of the total studies included, five presented moderate methodological quality values and two presented low methodological quality values, according to National Heart, Lung, and Blood Institute instrument. The most cardiovascular health indicators used in recreational soccer players during adolescence was waist circumference; three studies analyzed heart rate, two evaluated blood pressure, one analyzed insulin resistance and none of the included studies analyzed lipid profile. Factors associated were analyzed in four studies, being that sedentary time and body mass index (BMI) present association with at least one indicator of cardiovascular health.

A cross sectional survey on physical fitness, mental health and associated factors in mothers of children with special needs

2021 ◽  
pp. 1-8
Author(s):  
R. Jain ◽  
S. Kalra ◽  
S. Pawaria
Keyword(s):  
Mental Health ◽  
Physical Fitness ◽  
Special Needs ◽  
Associated Factors ◽  
Step Test ◽  
Special Needs Children ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Care Giving ◽  
Health And Fitness

Mothers are the primary caregivers of a child. While caring for a special needs child, workload of caring increases by manifold and taking care of these children increases physical & mental overload. There is a dearth of studies that have objectively evaluated mental health and fitness of this group. To study status of physical fitness, mental health and associated factors in mothers of special needs children a cross-sectional survey done on 100 mothers of special needs children from special schools in the Gurugram District, Haryana, India. The Harvard Step test was used to evaluate cardiac fitness. Standard tests were used to evaluate different components of musculoskeletal fitness. Depression was assessed by Beck Depression Inventory. Descriptive statistics were used for data analysis. The Karl Pearson correlation test was used to identify correlations between mental health and fitness components and sociodemographic characteristics. Mean age and body mass index of mothers was 36.15±2.56 years and 27.4±3.25 kg/m2, respectively. 50% of the subjects were overweight, 89% scored poor in cardiopulmonary fitness, 63% had very poor muscle endurance, and 69% had average muscular flexibility. 81% of the mothers had symptoms of clinical depression. Inverse and significant correlation was present between depression and cardiorespiratory fitness (r=-0.197), strength (r=-0.242), and endurance (r=0.209). Income, total number of children and duration of care giving were inversely correlated with depression. Positive correlation was found between type of disability and depression. There was an overall decrement in cardiorespiratory and musculoskeletal fitness. Mental health was found to be poor with a large percentage of participants showing symptoms of depression.

A Simple Test for the Assessment of Aerobic Fitness

1988 ◽  
Vol 74 (2) ◽  
pp. 107-114
Author(s):  
D. J. Smith ◽  
R. J. Pethybridge ◽  
A Duggan
Keyword(s):  
Heart Rate ◽  
Body Weight ◽  
Physical Fitness ◽  
Lean Body Mass ◽  
Body Mass ◽  
Test Score ◽  
Linear Regression Analysis ◽  
Treadmill Running ◽  
Step Test ◽  
Anthropometric Measures

SummaryThe relationship between physical fitness, anthropometric measures, and the scores in three submaximal step tests have been evaluated in a group of 30 male subjects. Physical fitness was assessed as VO2max measured directly during uphill treadmill running. Each submaximal exercise test was of six minutes duration and the heart rate recorded during the last minute (fH6) constituted the test score. Significant negative correlation coefficients were found between VO2max and each test score while lean body mass, gross body weight and body surface area were allpositively correlated with VO2max (1/min). The score in the least severe step test was included with anthropometric measures in multiple linear regression analysis for the prediction of VO2max and a number of prediction equations were derived. It was found that when lean body mass is calculated from skinfold measurements and weight, VO2max can be calculated from the equation:VO2max(1/min) = 1.470 + 0.0614 × Lean Body mass −0.0131 × fH6This equation accounts for 73% of the total variation of VO2max. If lean body mass cannot be calculated, a combination of gross body weight and age plus fH6 gives the equation:VO2max = 3.614 + 0.0349 × Weight – 0.0177 × fH6−0.0161 × Ageaccounting for 66% of the variance. The test has the following advantages over those currently employed:It is simple to administer requiring 6 minutes of stepping onto a 32 cm platform—the height of a gymnasium bench—20 times per minute.Although ideally an assessment oflean body mass is required, gross body weight plus age is a good second best.It is submaximal, minimising the stress on the individual (mean heart rate achieved 121 beats per minute).Its accuracy in terms of its ability to predict maximal aerobic power is better than either the Ohio or Harvard University tests.It is suggested that this test could be used where maximal testing is contraindicated or where currently used tests are insufficiently accurate.

Abstract P127: Gender and Fitness Status Influence Age-related Decline in Peak Heart Rate Achievement: Insight From the FIT Cohort

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Haitham Ahmed ◽  
Di Zhao ◽  
Eliseo Guallar ◽  
Michael J Blaha ◽  
Clinton A Brawner ◽  
...  
Keyword(s):  
Heart Rate ◽  
Age Groups ◽  
Peak Heart Rate ◽  
Cross Sectional ◽  
Fitness Level ◽  
Age Related ◽  
Henry Ford ◽  
Exercise Treadmill ◽  
History Of ◽  
Separate Regression

Background: The declines in peak heart rate (HR) and fitness level with age are related; however, whether this association differs based on gender is not well appreciated. In a large cross-sectional cohort of women and men referred for a clinically indicated exercise treadmill test (ETT), we set out to determine whether the decrease in peak HR by age varied by gender (and fitness) in the Henry Ford Exercise Testing (FIT) project. Methods: We analyzed data on 38,196 apparently-healthy patients aged 18-96 [mean age 51 ± 12 yrs, 25% black, 48% women] who completed an ETT. Those with history of coronary heart disease, congestive heart failure, diabetes on medications, atrial fibrillation or flutter, or taking AV nodal blocking medications were excluded. Being “fit” was defined as achieving ≥ the median MET level for each sex/age-decile group. Peak HR vs age was plotted, and regression lines were used to determine the intercept and slope for each group. Results: Men had higher peak HR than women but with a greater decline over time; the respective intercepts and slopes for peak HR estimates were 202.9 and 0.90 for men and 197.3 and 0.80 for women, (p-interaction = 0.023). Fit people also started out with higher peak HR but approached unfit people at higher age groups; respective intercept and slope by fitness status were 203.0 and 0.87 for fit and 194.7 and 0.83 for unfit (p-interaction <0.001). Separate regression lines were generated for categories of fit men/unfit men, fit women/unfit women ( Figure ). Fit and unfit men had similar declines in peak HR with increasing age (slope=0.92); whereas fit women (slope=0.81) had a slightly greater decline in peak HR with increasing age than unfit women (slope=0.73). However, peak absolute HR for fit people still remains higher than for unfit people even into elderly ages. Conclusion: In this cross-sectional cohort of patients referred for a clinical ETT, we found that the age-related decline in peak HR is influenced by both gender and fitness status.

Sign in / Sign up

Export Citation Format

Share Document