scholarly journals The Illustration of Physical Activity and the Elderly Physical Fitness Level

2020 ◽  
Author(s):  
Bintang Kusuma Wardhana ◽  
Muhammad Hamid Anwar
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
The Elderly ◽  
Fitness Level

scholarly journals PENYULUHAN AKTIVITAS FISIK DAN SCREENING PARAMETER SINDROM METABOLIK PADA POPULASI LANSIA

MEDIKORA ◽  
2019 ◽  
Vol 18 (1) ◽  
pp. 33-39
Author(s):  
Cerika Rismayanthi ◽  
Prijo Sudibjo ◽  
Novita Intan Arovah ◽  
Krisnanda Dwi Apriyanto
Keyword(s):  
Physical Activity ◽  
Metabolic Syndrome ◽  
Physical Fitness ◽  
The Elderly ◽  
Health Check ◽  
Elderly Men ◽  
Fitness Level ◽  
Health Checks ◽  
The Metabolic Syndrome ◽  
Screening Parameter

Kegiatan Program Pengabdian kepada Masyarakat ini bertujuan untuk: (1) mendapatkan informasi tentang profil tingkat kebugaran lansia binaan Ikatan Dokter Indonesia (IDI) dan Ikatan Istri Dokter Indonesia (IIDI) Yogyakarta, (2) mendapatkan informasi tentang faktor risiko sindrom metabolik bagi lansia binaan Ikatan Dokter Indonesia (IDI) dan Ikatan Istri Dokter Indonesia (IIDI) Yogyakarta, (3) memberikan pengetahuan bagi lansia binaan Ikatan Dokter Indonesia (IDI) dan Ikatan Istri Dokter Indonesia (IIDI) Yogyakarta tentang pentingnya melakukan aktivitas fisik dan mengetahui parameter sindrom metabolik. Khalayak sasaran utama dari kegiatan ini adalah Kelompok Lansia Teratai Nogotirto, Kelurahan Nogotirto, Kecamatan Gamping Sleman berjumlah 118 orang. Metode kegiatan PPM dilakukan dengan beberapa kegiata meliputi: cek kesehatan, tes pengukuran kebugaran jasmani bagi lansia, serta evaluasi dan penyuluhan. Cek kesehatan meliputi pengukuran tekanan darah, lingkar perut, trigliserida, HDL dan glukosa darah puasa. Penyuluhan diberikan setelah para lansia mendapatkan hasil dari cek kesehatan. Metode penyuluhan dilakukan agar para lansia mempunyai motivasi untuk menjaga kesehatan dan terhindar dari sindrom metabolik yang dapat memicu munculnya penyakit degeneratif. Tes pengukuran kebugaran jasmani meliputi jalan selama 6 menit, fleksibilitas, keseimbangan. Pengisian kuesioner dilakukan untuk mengetahui seberapa penting manfaat kegiatan PPM ini bagi para lansia. Berdasarkan hasil cek kesehatan diperoleh data bahwa sejumlah 78 (66,1%) lansia terindikasi sindrom metabolik. Dan dari sejumlah 78 lansia, 98,71% (77 lansia) yang terindikasi sindrom metabolik adalah perempuan. Dari data lansia laki-laki diperoleh rata-rata usia 61,5 tahun, dengan norma normal jalan 6 menit lansia laki-laki dengan usia tersebut adalah 610 – 735 yards (558-672 meter) dan norma normal jalan 6 menit lansia wanita dengan usia tersebut adalah 545 – 660 yards (498-603 meter). Jadi kesimpulan dari tes kebugaran lansia, baik laki-laki maupun wanita mempunyai tingkat kebugaran yang di atas rata-rata (above average). Physical Activity Counseling and Screening Parameter Metabolic Syndrome in the Elderly PopulationAbstractThe Community Service Program activity aims to: (1) obtain information on the profile of the fitness level of the elderly under the guidance of the Indonesian Doctors Association (IDI) and the Indonesian Doctors' Wives Association (IIDI) Yogyakarta, (2) obtain information about the risk factors for metabolic syndrome for the elderly under the guidance of the Association Indonesian Doctors (IDI) and the Indonesian Doctors 'Wives Association (IIDI) Yogyakarta, (3) provides knowledge for the elderly assisted by the Indonesian Doctors Association (IDI) and the Indonesian Doctors' Wives Association (IIDI) Yogyakarta about the importance of physical activity and knowing the parameters of metabolic syndrome. The main target audience for this activity is the Elderly Lotus Group Nogotirto, Kelurahan Nogotirto, Sleman Gamping District, with a total of 118 people. The PPM activity method is carried out with several activities including: health check, physical fitness measurement test for the elderly, as well as evaluation and counseling. Health checks include measurements of blood pressure, stomach circumference, triglycerides, HDL and fasting blood glucose. Counseling is given after the elderly get the results of a health check. The counseling method is done so that the elderly have motivation to maintain health and avoid the metabolic syndrome which can trigger the emergence of degenerative diseases. Physical fitness measurement tests include walking for 6 minutes, flexibility, balance. The questionnaire was filled out to find out how important the benefits of PPM activities are for the elderly. Based on the results of health checks obtained data that a number of 78 (66.1%) elderly indicated metabolic syndrome. And of the 78 elderly, 98.71% (77 elderly) who indicated metabolic syndrome were women. From the data of elderly men obtained an average age of 61.5 years, with the normal norm of walking 6 minutes elderly men with that age is 610 - 735 meters (558-672 meters) and the normal norm of walking 6 minutes elderly women with age these are 545 - 660 yards (498-603 meters). So the conclusion of the elderly fitness test, both men and women have a fitness level that is above average (above average).

scholarly journals Relationship between Smartphone Use Time, Sitting Time, and Fitness Level in University Students

2020 ◽  
Vol 29 (2) ◽  
pp. 170-177
Author(s):  
Jun-Il Yoo ◽  
Jinkyung Cho ◽  
Kyung-Wan Baek ◽  
Min-Ho Kim ◽  
Ji-Seok Kim
Keyword(s):  
Physical Activity ◽  
Logistic Regression ◽  
University Students ◽  
Physical Fitness ◽  
Body Fat ◽  
Binary Logistic Regression ◽  
Sitting Time ◽  
Percent Body Fat ◽  
Fitness Level ◽  
Smartphone Use

PURPOSE: The purpose of this study was to investigate the relationship of smartphone use time, sitting time, and fitness level in university students.METHODS: The participants of this study were 237 healthy university students (157 males and 80 females) enrolled from 2017 to 2018. The smartphone use time was divided into three groups: 0-4, ≥4-10, and ≥10 hours, as was the sitting time: 0-4, 4-7, and ≥7 hours. Binary logistic regression was used to calculate the odd ratio (OR) and 95% confidence interval (CI) of the smartphone use time and sitting time for having low levels of fitness.RESULTS: There were linear decreases in physical fitness levels across incremental smartphone use time and sitting time. Compared to the smartphone use time for 0-4 hours (reference), smartphone use time for the ≥4-10 hours (OR=2.498; 95% CI=1.007-6.197; <i>p</i>=.048) or the 10≥group (OR=3.516; 95% CI=1.228-10.064; <i>p</i>=.019) had significantly higher ORs of having lower fitness even after adjustments for age, sex, physical activity and percent body fat. Likewise, logistic regression analyses showed that those who had sitting time for ≥7 hours (OR=3.135; 95% CI=1.155-8.512; <i>p</i>=.025) had significantly higher ORs of having lower fitness even after adjustments for age, sex, physical activity, and percent body fat, as compared with those who had sitting time for 0-<4 hours.CONCLUSIONS: The current finding suggest that the smartphone using time and sitting time were associated with having the risk of lower level of physical fitness in university students.

scholarly journals The Sedentary Time and Physical Activity Levels on Physical Fitness in the Elderly: A Comparative Cross Sectional Study

2019 ◽  
Vol 16 (19) ◽  
pp. 3697 ◽  
Author(s):  
Fernanda M. Silva ◽  
João Petrica ◽  
João Serrano ◽  
Rui Paulo ◽  
André Ramalho ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Upper Limb ◽  
Sedentary Time ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Active Group ◽  
Sectional Study ◽  
Cross Sectional ◽  
Inactive Group

Background: Ageing is a life-long process characterized by a progressive loss of physical fitness compromising strength, flexibility, and agility. The purpose of this study was to use accelerometry to examine the relationship between sedentary time, light physical activity (LPA), and moderate to vigorous physical activity (MVPA) with the elderly’s physical fitness. Additionally, we aimed to examine the association between the aforementioned variables on older adults who fulfilled global recommendations on physical activity for health and on those who did not fulfil these recommendations. Methods: Eighty-three elderly (mean ± SD: 72.14 ± 5.61 years old) of both genders volunteered to participate in this cross-sectional study, being divided into an active group (n = 53; 71.02 ± 5.27 years old) and an inactive group (n = 30; 74.13 ± 5.72 years old) according to the established guidelines. Sedentary and physical activity times were assessed using an ActiGraph® GT1M accelerometer, whereas physical fitness was evaluated with the Senior Fitness Test. Results: MVPA time was correlated with lower body mass index (BMI) ((rs = −0.218; p = 0.048; −0.3 < r ≤ −0.1 (small)) and shorter time to complete the agility test ((rs = −0.367; p = 0.001; −0.5 < r ≤ −0.3 (low)). Moreover, MVPA time was positively correlated with aerobic endurance ((rs = 0.397; p = 0.000; 0.5 < r ≤ 0.3 (low)) and strength ((rs = 0.243; p = 0.027; 0.3 < r ≤ 0.1 (small)). In the inactive group, MVPA time was positively correlated with upper limb flexibility ((rs = 0.400; p = 0.028; 0.5 < r ≤ 0.3 (low)); moreover, sedentary time was negatively correlated with upper limb flexibility ((r = −0.443; p = 0.014; −0.5 < r ≤ −0.3 (low)), and LPA time was negatively correlated with BMI ((r = −0.423; p = 0.020; −0.5 < r ≤ −0.3 (low)). In the active group, MVPA time was correlated with lower BMI ((rs = −0.320; p = 0.020; −0.5 < r ≤ −0.3 (low)), and shorter time to complete agility test ((rs = −0.296; p = 0.031; −0.3 < r ≤ −0.1 (small)). Conclusions: Our results reinforce the importance of promoting MVPA practice among the elderly, thereby allowing physical fitness maintenance or improvement.

scholarly journals Are There Any Differences between First Grade Boys and Girls in Physical Fitness, Physical Activity, BMI, and Sedentary Behavior? Results of HCSC Study

2020 ◽  
Vol 17 (3) ◽  
pp. 1109 ◽  
Author(s):  
Paweł Lisowski ◽  
Adam Kantanista ◽  
Michał Bronikowski
Keyword(s):  
Physical Activity ◽  
Gender Differences ◽  
Physical Fitness ◽  
Sedentary Behavior ◽  
Physical Activity Level ◽  
First Grade ◽  
Physical Activities ◽  
Activity Level ◽  
Fitness Level ◽  
The Past

The transition from kindergarten to school is associated with a variety of negative changes. After entry to elementary school physical activity level decreases. Moreover, physical fitness level of children over the past decades have rapidly declined. Children are spending an increasing amount of time in the environments that require constant sitting. We evaluated the differences between boys and girls in physical fitness, frequency of undertaking of different forms of physical activity, prevalence of underweight and overweight, and time spent on sedentary behavior. A total of 212 first grade pupils (mean age 6.95 ± 0.43) from two standard urban schools in Poznań participated in the study. Compared to girls, boys obtained better results in 20-meter run (4.9 s and 5.0 s, p < 0.01), sit-ups (16.8 and 15.3, p < 0.05), six-minute run (829.7 m and 766.4 m, p < 0.001), and standing broad jump (106.8 cm and 99.7 cm, p < 0.01). In the sit-and-reach test girls achieved higher results than boys (17.0 cm and 14.4 cm, p < 0.001). There were no gender differences in prevalence of underweight and overweight. In conclusions, difference between genders should be taken into consideration during designing physical activity programs in the aspects of intensity and forms of physical activities.

Is Fitness Level in Childhood Associated with Physical Activity Level as an Adult?

2009 ◽  
Vol 21 (3) ◽  
pp. 329-338 ◽  
Author(s):  
François Trudeau ◽  
Louis Laurencelle ◽  
Roy J. Shephard
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Physical Activity Level ◽  
Work Capacity ◽  
Activity Level ◽  
Perceived Barriers ◽  
Physical Work ◽  
Physical Work Capacity ◽  
Fitness Level ◽  
Barriers To Exercise

The purpose of this study was to examine the possible influence of childhood physical fitness on physical activity level and some of its psychosocial determinants as an adult. Childhood (age 10–12 years) data from the longitudinal Trois-Rivières Growth and Development Study (body mass index, Physical Work Capacity (PWC170)), number of sit-ups/min, left + right hands grip strength) were correlated with adult data (age 35.0 ± 0.3 years) for physical activity (PA) level, attitude toward PA, intention to exercise, perceived barriers to exercise and support of an active lifestyle by significant others. No significant relationships between childhood physical fitness and adulthood PA were found. Although the sample size is relatively small, our data suggest that the preadolescent physical fitness level has no measurable impact on adult habitual PA, attitudes toward PA, intentions to exercise, perceived barriers to exercise or support from the individual’s entourage.

scholarly journals Physical Fitness Level of 1st Year Medicine and Physiotherapy Students of Lublin Medical University

2012 ◽  
Vol 19 (2) ◽  
pp. 107-112 ◽  
Author(s):  
Agnieszka Kotwica ◽  
Piotr Majcher
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Lifestyle Changes ◽  
Male Students ◽  
Negative Effects ◽  
Positive Health ◽  
Fitness Level ◽  
Analysis Of Results ◽  
Medical University ◽  
Physiotherapy Students

AbstractIntroduction. The development of civilization is leading to lifestyle changes and diminishing physical activity as well as various types of sicknesses caused by a lack of movement. In order to reduce these negative effects we should maintain a proper level of physical activity, which is often regarded as a contributing factor to positive health levels. Material and st methods. The aim of this report is the assessment of physical fitness levels of 1st year male and female students of medicine and physiotherapy faculties at Lublin Medical University. The test was conducted on a group of 103 female and 52 male students of medicine as well as 50 female and 11 male students of physiotherapy. The survey was based on the Pilcz motor skills test and Denisiuk endurance test. Results and conclusions. The analysis of results showed differences in physical fitness between sexes while there were hardly any differences between the students of the two faculties. The overall level of physical fitness has been specified as the lower limit of the average level.

scholarly journals Association between Cigarette Smoking and Physical Fitness Level of Korean Adults and the Elderly

Healthcare ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 185
Author(s):  
Hyung Gyu Jeon ◽  
Gyuri Kim ◽  
Hee Seong Jeong ◽  
Wi-Young So
Keyword(s):  
Physical Fitness ◽  
Elderly Women ◽  
Smoking Status ◽  
The Elderly ◽  
National Database ◽  
Elderly Persons ◽  
Fitness Level ◽  
Customized Training ◽  
Significant Difference ◽  
Using Data

Although previous studies have examined the relationship between smoking and physical fitness, they only considered current smoking status and the same fitness measurements regardless of age. This study investigated differences in physical fitness based on tobacco smoking habits. A total of 2830 non-elderly adults (NEA; 19–64 years) and 629 elderly (65–89 years) participated in the study, using data extracted from a Korean national database. One-way ANCOVA and ANOVA were conducted to analyze the results. The subjects were classified into three groups (smokers, those who had quit, and never-smokers). In NEA men, a significant difference was observed in 50-m dash (p = 0.003) and 20-m shuttle-run (p < 0.001), while in elderly men differences were only seen in sit-ups (p = 0.015). In the case of NEA and elderly women, no significant differences were observed in physical fitness levels (p > 0.05). The decreased fitness level due to smoking was more noticeable in men than in women, and in NEA more than in elderly persons. A non-smoking policy and customized training based on age or gender are necessary to increase fitness and improve health conditions.

scholarly journals Comparison of the Daily Fitness Test in Nursing Home Residents and Community-Dwelling Residents Elderly Women

2020 ◽  
Vol 29 (4) ◽  
pp. 409-415
Author(s):  
Min-Hwa Suk ◽  
Hee-Seung Jang ◽  
Jin-Wook Lee
Keyword(s):  
Physical Activity ◽  
Nursing Home ◽  
Physical Fitness ◽  
Elderly Women ◽  
Nursing Home Residents ◽  
Exercise Program ◽  
The Elderly ◽  
Community Dwelling ◽  
Step Test ◽  
Fitness Test

PURPOSE:The purpose of this study was to compare the daily fitness tests of nursing home residents and community-dwelling elderly women after 16 weeks program.METHODS:Thirty elderly women living in a nursing home (n=14) or community (n=16) participated in the study. The program was assigned 1 hour twice a week for 16 weeks to improve the physical activity for the elderly women. The daily fitness test assessed the physical fitness levels for elderly. The tests performed the 2-min step test, chair stand test, arm curl test, chair sit and reach test, backscratch test, 244-cm up and go test.RESULTS:A result of the study show that the daily physical fitness of the elderly women living in the community is higher than those living in nursing homes. After the program which induced physical activity, 2-min step test (<i>p</i><.05) and 244-cm up and go test (<i>p</i><.05) were much improved in the elderly living in nursing homes.CONCLUSIONS:Although the daily fitness of nursing home residents was lower than community-dwelling residents, there was a significant improvement after exercise program.

scholarly journals Relationship between Smartphone Use Time, Sitting Time, and Fitness Level in University Students

2020 ◽  
Vol 29 (2) ◽  
pp. 170-177
Author(s):  
Jun-Il Yoo ◽  
Jinkyung Cho ◽  
Kyung-Wan Baek ◽  
Min-Ho Kim ◽  
Ji-Seok Kim
Keyword(s):  
Physical Activity ◽  
Logistic Regression ◽  
University Students ◽  
Physical Fitness ◽  
Body Fat ◽  
Binary Logistic Regression ◽  
Sitting Time ◽  
Percent Body Fat ◽  
Fitness Level ◽  
Smartphone Use

PURPOSE: The purpose of this study was to investigate the relationship of smartphone use time, sitting time, and fitness level in university students.METHODS: The participants of this study were 237 healthy university students (157 males and 80 females) enrolled from 2017 to 2018. The smartphone use time was divided into three groups: 0-4, ≥4-10, and ≥10 hours, as was the sitting time: 0-4, 4-7, and ≥7 hours. Binary logistic regression was used to calculate the odd ratio (OR) and 95% confidence interval (CI) of the smartphone use time and sitting time for having low levels of fitness.RESULTS: There were linear decreases in physical fitness levels across incremental smartphone use time and sitting time. Compared to the smartphone use time for 0-4 hours (reference), smartphone use time for the ≥4-10 hours (OR=2.498; 95% CI=1.007-6.197; <i>p</i>=.048) or the 10≥group (OR=3.516; 95% CI=1.228-10.064; <i>p</i>=.019) had significantly higher ORs of having lower fitness even after adjustments for age, sex, physical activity and percent body fat. Likewise, logistic regression analyses showed that those who had sitting time for ≥7 hours (OR=3.135; 95% CI=1.155-8.512; <i>p</i>=.025) had significantly higher ORs of having lower fitness even after adjustments for age, sex, physical activity, and percent body fat, as compared with those who had sitting time for 0-<4 hours.CONCLUSIONS: The current finding suggest that the smartphone using time and sitting time were associated with having the risk of lower level of physical fitness in university students.

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