scholarly journals Accelerometer Derived Activity Counts and Oxygen Consumption between Young and Older Individuals

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Lucas Whitcher ◽  
Charilaos Papadopoulos
Keyword(s):  
Physical Activity ◽  
Oxygen Consumption ◽  
Metabolic Rate ◽  
Resting Metabolic Rate ◽  
The Elderly ◽  
Moderate Physical Activity ◽  
Older Individuals ◽  
Physical Activity Intensity ◽  
Elderly Individuals ◽  
Activity Intensity

The purpose of this investigation was to compare accelerometer activity counts and oxygen consumption between young and elderly individuals. Sixteen young (21.3±2.5 yrs) and sixteen elderly (66.6±2.9 yrs) participants completed 30 minutes of resting oxygen consumption to determine resting metabolic rate and four 6 min walking intensities ranging from 27 to 94 m·min−1. Resting oxygen uptake was significantly lower for the older participants. Exercise oxygen consumption was significantly higher for the elderly group. There were no significant differences in activity counts between groups at each of the exercise intensities. When using measured resting metabolic rate, activity counts of 824 and 2207 counts·min−1were associated with moderate (3 METs) physical activity intensity for the older and young participants, respectively. However, using standard resting metabolic rate (3.5 mL·kg−1·min−1), activity counts of 784 and 2009 counts·min−1were associated with moderate physical activity intensity for the elderly and young participants, respectively. These findings indicate that activity counts are similar across age groups even though the oxygen consumption of exercise is greater among elderly individuals.

scholarly journals Trends and Associated Factors of Dietary Knowledge among Chinese Older Residents: Results from the China Health and Nutrition Survey 2004–2015

2020 ◽  
Vol 17 (21) ◽  
pp. 8029
Author(s):  
Shizhen Wang ◽  
Ying Yang ◽  
Runhu Hu ◽  
Hongfei Long ◽  
Ni Wang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Associated Factors ◽  
The Elderly ◽  
Healthy Weight ◽  
Physical Activity Intensity ◽  
Nutrition Survey ◽  
Targeted Interventions ◽  
Dietary Knowledge ◽  
Activity Intensity ◽  
Health And Nutrition

Promoting a healthy diet of the elderly is an important task in the current “Healthy China Action”. This study aimed to describe the changing trends of the dietary knowledge elderly Chinese during 2004–2015 and to examine the associated factors of dietary knowledge. Elderly people aged ≥60 years were included as study subjects from the China Health and Nutrition Survey 2004–2015. A total of 15,607 samples were involved in the analysis. The correct rate of dietary knowledge items followed upward trends over time, except for two items regarding physical activity intensity (Question 11, Cochran-Armitage χ2 = 20.05, p < 0.001) and healthy weight (Question 12, Cochran-Armitage χ2 = 43.93, p < 0.001). Four of the twelve dietary knowledge items consistently followed the lowest correct rate between 2006 and 2015, regarding physical activity intensity (Question 11, 24.5%−25.8%), staple food consumption (Question 5, 36.6%−41.5%), animal product consumption (Question 6, 45.8%−59.5%), and fatty meat and animal fat consumption (Question 7, 63.6%−64.9%). Participants who had a lower educational level or lived in rural areas or western regions, did not know about the Chinese Food Pagoda (CFP) or Dietary Guidelines for Chinese Residents (DGCR), and did not proactively look for nutrition knowledge were less likely to have adequate dietary knowledge literacy. Targeted interventions should be developed to promote dietary knowledge level of the elderly.

scholarly journals Impact of physical activity and lifestyle in pre-infection on the susceptibility and prognosis of infects with COVID-19

2020 ◽  
Author(s):  
Baozhen Huang ◽  
Shixi Zhang ◽  
Jiuyu Gong ◽  
Yanlin Niu ◽  
Fengjuan Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Hospital Stay ◽  
Regression Models ◽  
Moderate Physical Activity ◽  
Intensity Level ◽  
Moderate Activity ◽  
Physical Activity Intensity ◽  
Special Effect ◽  
Lifestyle Habits ◽  
Activity Intensity

Abstract Background There are very few studies focusing on the relationship between COVID-19 and pre-infection lifestyle. In the absence of effective vaccines and special-effect medicines, it is very meaningful to actively respond to the disease pandemic by improving lifestyle habits. Methods This is a multicenter, retrospective cohort study enrolled 431 adult people including 228 normal people and 203 confirmed infects in Wubei, Henan and Shandong Provinces. Questionnaires were used to collect information on physical activity and lifestyle by competent doctors. The univariate logistic regression models and multiple regression models were used in risk factor analysis. Kruskal-Wallis H test were used to test the correlation. Results Lifestyle habits including exercise, smoking, sedentary behavior and physical activity intensity can significantly affect the probability of getting COVID-19 (P < 0.05). The MET (Metabolic Equivalent) intensity classification and sleep status are found to be the potential influencing factors of prognosis in both all infects and symptomatic patients. In all infects, taking the high MET intensity level as a reference, inpatient days would increase by 1.812 times (95% CI: 0.887–3.701) with no significance when the level is moderate (P > 0.05) and significantly increase by 6.674 times (95% CI: 1.613–27.613) when the level is low (P < 0.05). Kruskal-Wallis H test results showed moderate activity MET*min promoted shorter hospital stay (P < 0.05) mainly. Conclusions Sleep status and physical activity influenced the susceptibility and prognosis of COVID-19. Lack of sleep and low MET intensity level may prolong the hospital stay, which means a relatively slow recovery. This encourages the public to have moderate physical activity and adequate sleep to respond to the COVID-19 pandemic actively.

scholarly journals Efeito da atividade física sobre a qualidade seminal

2020 ◽  
Vol 18 (1) ◽  
pp. 41-47
Author(s):  
Leonardo Monteiro Nesello ◽  
Fábio Pasqualotto
Keyword(s):  
Physical Activity ◽  
Reproductive Health ◽  
Clinical Evidence ◽  
Semen Quality ◽  
Moderate Physical Activity ◽  
Hormonal Changes ◽  
Physical Activity Intensity ◽  
Activity Intensity ◽  
Male Reproductive Health ◽  
Intense Physical Activity

INTRODUÇÃO: A saúde reprodutora masculina pode ser influenciada devida à prática de atividade física, e com isso tem-se aumentado o número de estudos que analisam o efeito da atividade física na qualidade seminal. Descobertas apontam que mudanças significativas na qualidade do sêmen podem ocorrer com a prática de atividade física, que pode alterar sua qualidade de acordo com o tipo de atividade física, a intensidade e a duração. OBJETIVO: Neste contexto, o presente estudo realizou uma análise detalhada da literatura atual com o objetivo de verificar o efeito de diferentes atividades físicas sobre a saúde reprodutora masculina. MÉTODO: Trata-se de uma revisão sistemática feita nas bases de dados do PubMed. Utilizou-se os itens propostos pelo PRISMA para a busca, seleção e extração de dados. De acordo com o fluxograma proposto, 244 artigos foram identificados e, destes, 12 foram selecionados. RESULTADOS: Apoiada por fortes evidências clínicas, esta revisão sugere que a atividade física intensa pode provocar fortes alterações hormonais e prejudicar a qualidade seminal. Já a atividade física moderada parece ter um efeito neutro ou benéfico para a qualidade do sêmen. Além disso, o efeito da atividade física na qualidade do sêmen pode ser diferente de acordo com o tipo de atividade física. CONCLUSÃO: Frente às evidências, ainda existe falta de conclusões sólidas sobre esse assunto, devido ao fato de existir muita contradição entre os estudos existentes e da atividade física não ser facilmente quantificada. ABSTRACT. Effect of physical activity on seminal quality, BACKGROUND: Male reproductive health may be influenced by physical activity, and this has increased the number of studies that analyze the effect of physical activity on seminal quality. Findings indicate that significant changes in semen quality can occur due to the practice of physical activity, which can alter its quality according to the type of physical activity, intensity and duration. OBJECTIVE: In this context, the present study performed a detailed analysis of the current literature with the objective of verifying the effect of different physical activity on male reproductive health. METHODS: A systematic review performed on the PubMed databases. The items proposed by PRISMA were used for searching, selecting and extracting data. According to the proposed flowchart, 244 articles were indentified and, of these, 12 were selected. RESULTS: Supported by strong clinical evidence, this review shows that intense physical activity can cause strong hormonal changes and impair seminal quality. On the other hand, moderate physical activity seems to have a neutral or beneficial effect on semen quality. In addition, the effect of physical activity on semen quality may differ according to the type of physical activity. CONCLUSION: Faced with the evidence, there is still a lack of solid conclusions on this subject, due to the fact that there is a lot of contradiction between the existing studies and that physical activity can not be easily quantified.

scholarly journals Estimating Absolute and Relative Physical Activity Intensity Across Age via Accelerometry in Adults

2010 ◽  
Vol 18 (2) ◽  
pp. 158-170 ◽  
Author(s):  
Nora E. Miller ◽  
Scott J. Strath ◽  
Ann M. Swartz ◽  
Susan E. Cashin
Keyword(s):  
Physical Activity ◽  
Oxygen Consumption ◽  
Predictive Validity ◽  
Age Groups ◽  
Regression Equations ◽  
Physiological Changes ◽  
Physical Activity Intensity ◽  
Activity Intensity ◽  
Metabolic Equivalents ◽  
Calibration Study

This study examined the predictive validity of accelerometers (ACC) to estimate physical activity intensity (PAI) across age and differences in intensity predictions when expressed in relative and absolute PAI terms. Ninety adults categorized into 3 age groups (20–29, 40–49, and 60–69 yr) completed a treadmill calibration study with simultaneous ACC (7164 Actigraph) and oxygen-consumption assessment. Results revealed strong linear relations between ACC output and measured PAI (R2= .62–.89) across age and similar ACC cut-point ranges across age delineating absolute PAI ranges compared with previous findings. Comparing measured metabolic equivalents (METs) with estimated METs derived from previously published regression equations revealed that age did not affect predictive validity of ACC estimates of absolute PAI. Comparing ACC output expressed in relative vs. absolute terms across age revealed substantial differences in PAI ACC count ranges. Further work is warranted to increase the applicability of ACC use relative to PAI differences associated with physiological changes with age.

scholarly journals Physical capacity in elderly women

2012 ◽  
Vol 26 (2) ◽  
pp. 29-36
Author(s):  
Andrzej Magiera ◽  
Katarzyna Kaczmarczyk ◽  
Ida Wiszomirska ◽  
Ewelina Olszewska
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
Physical Fitness ◽  
Physical Performance ◽  
The Elderly ◽  
Older Individuals ◽  
Elderly Individuals ◽  
The Third ◽  
The Mean ◽  
Exercise Classes

Abstract Introduction: Physical fitness has a direct impact on daily motor function. The level of fitness generally increases with age to reach a maximal level for a given individual at around 20-30 years of age, after which it begins to gradually decrease - with the pace of the decrease depending on the type of physical activity engaged in. At every age, physical fitness can be improved by the right physical training. One factor that frequently limits participation in various types of physical activity is insufficient free time. Older individuals frequently have more free time, yet do not spend it in an active way. At the same time, elderly individuals are becoming an increasingly sizeable group within society. That means that soon a large share of Poland's population will consist of individuals with low motor fitness. To mitigate this, organizations are being formed where older individuals can participate in motor-exercise classes. This type of activity can have a positive impact on the condition of older individuals, who represent an ever-larger part of society. It is thus possible to boost the physical fitness of the elderly, and doing so is very important for this population segment's health. The objective of this study is to identify the level of physical fitness of elderly individuals who participate in the Third Age University at the Academy of Physical Education in Warsaw, and to trace the evolution of their physical fitness after 3 months of motor-exercise classes. Materials and methods: The physical fitness of 31 women was tested. All were female participants in the Third Age University at the Academy of Physical Education in Warsaw. The mean age of the subjects was 65.3 years (SD 4.42), with mean body mass 66.4 kg (SD 7,44) and mean height 157.7cm (SD 5,11). Their body mass index (BMI) ranged between 21.5 and 31.7, with the mean value being 26.5. The test was conducted twice, after an interval of 3 months. The objective was to identify an exercise regime that would cause a given individual's heart rate to increase to 130 bpm. Results: The individuals studied showed a low level of physical fitness. A 3 month period was sufficient to effect an improvement in the physical fitness of elderly individuals Conclusions: 1. Physical capacity subjects is low. 2. Using regular physical activity adapted specifically for the needs of older people can improve physical performance in elderly people. 3. A period of three months is sufficient to improve physical performance in the elderly.

Implementing Structured Curriculum in an After-School Physical Activity Program

2021 ◽  
Vol 78 (5) ◽  
Author(s):  
Taylor West ◽  
Michael Boyd ◽  
Whitney Holeva-Eklund ◽  
Mina Liebert ◽  
John Schuna ◽  
...  
Keyword(s):  
Physical Activity ◽  
Total Physical Activity ◽  
Physical Activity Program ◽  
After School ◽  
Moderate Physical Activity ◽  
Physical Activity Intensity ◽  
School Program ◽  
Activity Intensity ◽  
Activity Program ◽  
After School Program

The purpose of this study was to evaluate the influences of a structured after-school program on student physical activity for third- through fifth-grade students at five schools in southern Colorado. The study utilized a pretest–posttest intervention design in which six elementary schools in a low socioeconomic status school district in southern Colorado were recruited to implement a structured curriculum into their existing after-school physical activity program. Four observations at each school were taken approximately 6 weeks apart during the 2014–2015 academic year. Randomly selected students (n = 187) were measured for height and weight at each observation and wore accelerometers during after-school physical activity. Descriptive statistics and independent sample t tests were calculated for a comparison of physical activity before and after the implementation of the structured after-school program. Students wore accelerometers an average of 45.72 ± 10.28 min/session. Total physical activity increased significantly from 36.21 ± 6.41 to 41.14 ± 6.76 min/session (p < 0.001). Moderate physical activity increased significantly from 9.29 ± 3.84 to 12.10 ± 5.96 min/session (p < 0.001), whereas vigorous activity significantly decreased from 8.02 ± 4.39 to 5.54 ± 5.32 min/session (p < 0.001). Overall, implementing a structured after-school program may be beneficial in increasing total physical activity, though its role in improving physical activity intensity is questionable. Subscribe to TPE

HUBUNGAN AKTIVITAS FISIK DENGAN FUNGSI KOGNITIF LANSIA DI PANTI WREDHA YAYASAN SOSIAL SALIB PUTIH SALATIGA

2019 ◽  
pp. 137-143
Author(s):  
Dennys Christovel Dese ◽  
Cahyo Wibowo
Keyword(s):  
Physical Activity ◽  
Cognitive Function ◽  
The Elderly ◽  
Moderate Physical Activity ◽  
Cross Sectional ◽  
Significance Level ◽  
The Social ◽  
Normal Cognitive Function ◽  
Intellectual Capacity ◽  
Independent Variable

Peningkatan jumlah lansia setiap tahunnya harus dijadikan perhatian, akibat adanya peningkatan jumlah lansia masalah yang dihadapi akan menjadi semakin kompleks, salah satunya adalah masalah yang berkaitan dengan gejala penuaan. Menurunnya kapasitas intelektual berhubungan erat dengan fungsi kognitif pada lansia. Aktivitas fisik diidentifikasi sebagai salah satu faktor yang mempengaruhi fungsi kognitif. Aktivitas fisik bermanfaat untuk lansia sebagai pencegahan dan demensia. Penelitian ini merupakan penelitian analitik observasional dengan menggunakan pendekatan cross sectional. Penelitian dilakukan di yayasan sosial Panti Wredha Salib Putih Salatiga pada bulan Juni 2018. Populasi dalam penelitian ini adalah lansia yang berumur ?60 tahun. Subjek pada penelitian ini berjumlah 16 responden. Variabel independen dalam penelitian ini adalah aktivitas fisik yang dinilai dengan menggunakan instrument GPAQ. Sedangkan variabel dependen dalam penelitian ini adalah fungsi kognitif yang dinilai dengan instrument MMSE. Terdapat 4 orang (25%) yang masuk dalam kategori fungsi kognitif normal dengan kategori aktifitas fisik sedang 1 orang dan aktifitas berat 3 orang, kemudian yang termasuk dalam kategori gangguan fungsi kognitif ringan sebanyak 11 orang (68,75%), dengan kategori aktifitas fisik sedang 8 orang dan aktifitas ringan 3 orang. Sedangkan yang termasuk dalam kategori gangguan fungsi kognitif berat, terdapat 1 orang (6,25%) dengan kategori aktifitasnya ringan. Taraf signifikansi antar variabel tingkat aktifitas fisik dan fungsi kognitif pada lansia adalah p=0.007 atau p<0,05, sehingga dapat disimpulkan ada  hubungan antara tingkat aktifitas fisik dengan fungsi kognitif pada lansia.   Increasing the number of elderly people every year should be a concern, due to an increase in the number of elderly problems faced will become increasingly complex, one of which is a problem related to the symptoms of aging. Decreased intellectual capacity is closely related to cognitive function in the elderly. Physical activity is identified as one of the factors that influence cognitive function. Physical activity is beneficial for the elderly as prevention and dementia. This study was an observational analytic study using a cross sectional approach. The study was conducted at the social foundation nursing home in the white cross in June 2018. The population in this study was elderly aged ≥60 years. The subjects in this study were 16 respondents. The independent variable in this study is physical activity that is assessed using the GPAQ instrument. While the dependent variable in this study was cognitive function which was assessed by the MMSE instrument. There are 4 people (25%) who fall into the category of normal cognitive function with moderate physical activity categories 1 person and heavy activities 3 people, then those included in the category of mild cognitive function disorders are 11 people (68.75%), with the category of physical activity being 8 people and 3 light activities. While those included in the category of severe cognitive function disorders, there is 1 person (6.25%) with a mild activity category. The significance level between the level of physical activity and cognitive function in the elderly is p = 0.007 or p <0.05, so it can be concluded that there is a relationship between the level of physical activity and cognitive function in the elderly.

Self-reported Physical Activity Intensity and Sleep Apnea Risk

2014 ◽  
Vol 46 ◽  
pp. 374
Author(s):  
Christopher E. Kline ◽  
Matthew P. Buman ◽  
Shawn D. Youngstedt ◽  
Barbara Phillips ◽  
Marco Tulio de Mello ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Apnea ◽  
Physical Activity Intensity ◽  
Activity Intensity

The effect of real‐time monitoring of physical activity intensity in diabetic patients

2021 ◽  
Author(s):  
Rumi Tanaka ◽  
Kimie Fujita ◽  
Satoko Maeno ◽  
Kanako Yakushiji ◽  
Satomi Tanaka ◽  
...  
Keyword(s):  
Physical Activity ◽  
Real Time ◽  
Diabetic Patients ◽  
Physical Activity Intensity ◽  
Real Time Monitoring ◽  
Activity Intensity
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