The Relationship Between The Physical Strain Of Walking And Daily Activity Time In Individuals With Slowly Progressive Neuromuscular Diseases

2021 ◽  
Vol 102 (10) ◽  
pp. e9-e10
Author(s):  
Sander Oorschot ◽  
Eric Voorn ◽  
Annerieke van Groenestijn ◽  
Frans Nollet ◽  
Merel-Anne Brehm
Keyword(s):  
Daily Activity ◽  
Neuromuscular Diseases ◽  
Activity Time ◽  
Physical Strain ◽  
The Relationship

scholarly journals The relationship between external temperature and daily activity in a large rodent (Dasyprocta azarae) in the Brazilian Pantanal

2015 ◽  
Vol 31 (5) ◽  
pp. 469-472 ◽  
Author(s):  
Bruno Cid ◽  
Luiz Gustavo R. Oliveira-Santos ◽  
Guilherme Mourão
Keyword(s):  
Activity Pattern ◽  
Daily Activity ◽  
Activity Patterns ◽  
Activity Time ◽  
External Temperature ◽  
Temperature Ranges ◽  
Brazilian Pantanal ◽  
The Relationship ◽  
Daily Activity Patterns ◽  
Diurnal Period

Abstract:Daily activity patterns reflect interactions between circadian mechanisms and environmental stimuli. Among these stimuli, temperature can be an important factor affecting activity budgets. To sample the agouti (Dasyprocta azarae), a systematic camera-trap grid was established with 50 independent sampling sites. A circular kernel function was used to characterize the activity patterns of the agouti population. To evaluate shifts in activity as a function of mean daily temperature, the entire set of records was subdivided into smaller sets covering different temperature ranges. The activity pattern belonging to each set was characterized and compared through the overlap of their full activity (95% isopleth) and activity core (50% isopleth). Based on 400 independent records, agoutis were predominately diurnal. They shifted their activity core, while keeping their activity range (the amount of time a population remains active during the 24-h cycle) constant through the temperature gradient. The agouti demonstrated a unimodal activity pattern at lower temperatures, which became more bimodal at higher temperatures. Nevertheless, it kept its activity range constant, regardless of temperature. These results likely reflect a trade-off between activity time and thermoregulation during the diurnal period and demonstrate how the agouti can change its behaviour to achieve thermal comfort.

scholarly journals The Relationship Between Hippocampal Volume and Activity Diversity

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 652-653
Author(s):  
Emily Urban-Wojcik ◽  
Soomi Lee ◽  
Susan Charles ◽  
David Almeida ◽  
Richard Davidson ◽  
...  
Keyword(s):  
Brain Volume ◽  
Daily Diary ◽  
Brain Structures ◽  
Total Activity ◽  
The United States ◽  
Hippocampal Volume ◽  
Daily Activities ◽  
Activity Time ◽  
Left And Right ◽  
The Relationship

Abstract The hippocampus, implicated in learning, memory, and spatial navigation, is one of the few brain structures that demonstrates neurogenesis across the lifespan. Hippocampal volume (HV), then, may be a marker of exposure to and engagement with novel events and environments, which may in turn be related to cognitive functioning. The present study examined the relationship between HV and activity diversity (AD), which characterizes the range and evenness of participation in daily activities. In 52 participants who completed the daily-diary and neuroscience projects of the Midlife in the United States Refresher study, greater levels of AD across an 8-day period were related to greater HV averaged across the left and right hemispheres when adjusting for overall brain volume, total activity time, time between projects, and relevant sociodemographic variables, b=1128mm3, t(43)=2.54, p=.015. These findings may point to a mechanism through which AD has been related to better cognitive and mental health outcomes.

scholarly journals How Much Walking Should be Advocated for Good Health in Adolescent Girls?

2017 ◽  
Vol 14 (1) ◽  
pp. 59-66 ◽  
Author(s):  
Mhairi MacDonald ◽  
Samantha G. Fawkner ◽  
Ailsa Niven
Keyword(s):  
Adolescent Girls ◽  
Daily Activity ◽  
Good Health ◽  
Moderate Intensity ◽  
Daily Step ◽  
Activity Time ◽  
Activity Data ◽  
Healthy Adolescent ◽  
Health Related ◽  
Moderate Intensity Activity

Background:It is currently not known how much walking should be advocated for good health in adolescent girls. The aim of this study was therefore to recommend health referenced standards for step defined physical activity relating to appropriate health criterion/indicators in a group of adolescent girls.Method:Two hundred and thirty adolescent girls aged between 12 to 15 years volunteered to take part in the study. Each participant undertook measurements (BMI, waist circumference, % body fat, and blood pressure) to define health status. Activity data were collected by pedometer and used to assess daily step counts and accumulated daily activity time over 7 consecutive days.Results:Individuals classified as ‘healthy’ did not take significantly more steps·day–1 nor spend more time in moderate intensity activity than individuals classified as at health risk or with poor health profiles.Conclusion:‘Healthy’ adolescent girls do not walk significantly more in term of steps·day–1 or time spent in activity than girls classified as ‘unhealthy.’ This could suggest that adolescent girls may not walk enough to stratify health and health related outcomes and as a result the data could not be used to inform an appropriate step guideline for this population.

scholarly journals Compression of daily activity time in mice lacking functionalPerorCrygenes

2014 ◽  
Vol 31 (5) ◽  
pp. 645-654 ◽  
Author(s):  
K. Spoelstra ◽  
M. Comas ◽  
S. Daan
Keyword(s):  
Daily Activity ◽  
Activity Time

An exploratory study of the relationship between construction workforce physical strain and task level productivity

2013 ◽  
Vol 32 (6) ◽  
pp. 548-564 ◽  
Author(s):  
Umberto C. Gatti ◽  
Giovanni C. Migliaccio ◽  
Susan M. Bogus ◽  
Suzanne Schneider
Keyword(s):  
Exploratory Study ◽  
Physical Strain ◽  
The Relationship ◽  
Task Level ◽  
And Task

scholarly journals Clinical Study on the Influence of Eye Care Habits on Myopia in School-age Children

2021 ◽  
Vol 292 ◽  
pp. 03071
Author(s):  
Zhu Meihong ◽  
Lin Tainan
Keyword(s):  
Sleep Time ◽  
Provincial Government ◽  
School Age Children ◽  
School Age ◽  
Outdoor Activity ◽  
Activity Time ◽  
Time Average ◽  
Good Habit ◽  
The Relationship ◽  
Reading Distance

In order to explore the relationship between the habit of using eyes and myopia, summarize and put forward to develop good habit of using eyes of school-age children to achieve the purpose of preventing myopia. 960 school-age children aged 7 to 12 were selected from the ophthalmology clinic of Fujian Provincial Government Hospital. The data collected included reading distance, sleep time, average daily outdoor activity time, average daily continuous eye use time. Ophthalmologists are responsible for visual examination, which includes mild myopia, moderate myopia and severe myopia. SPSS 22.0 statistical software was used for data processing. As a results, P < 0.05 was statistically significant. There are significant differences in the distribution of sleep time among the three groups (P < 0.05); There are significant differences in the time distribution of each continuous close eye use among the three groups (P < 0.05); There are significant differences in the distribution of distance habit among the three groups (P < 0.05); There are significant differences in the distribution of outdoor activity time among the three groups (P < 0.05).Myopia is closely related to the time of close eye use, the distance of eye use, the length of sleep and the length of outdoor activities.

scholarly journals Aktivitas Harian Rusa Tutul (Axis axis) pada Lahan Konservasi di Hutan Kota Kecamatan Langsa Baro Kota Langsa

2019 ◽  
Vol 7 (1) ◽  
pp. 8
Author(s):  
Elfrida Elfrida ◽  
Sri Jayanthi ◽  
Novita Rahayu
Keyword(s):  
Daily Activity ◽  
Forest Ecosystems ◽  
Ex Situ Conservation ◽  
Ex Situ ◽  
Animal Population ◽  
Activity Time ◽  
Axis Axis ◽  
Spotted Deer ◽  
In Captivity ◽  
The City

Spotted deer (Axis axis) is one of the component forming forest ecosystems  and has a very important role in the food chain cycle. However, excessive and uncontrolled use of deer by humans can result in a decline in the animal population in nature. One of the conservation efforts that can be done is by captivity (ex-situ conservation). This study was conducted to determine the daily activity of the spotted deer in captivity of the City Forest in Langsa Baro Subdistrict, Langsa City on 8 - 22 February 2018. Data on the daily activities of the spotted deer were obtained through direct observation using the animal sampling scan method for 15 days. The study found that eating was the highest daily activity, namely male 30,84%, female 32,84%, pregnant deer 34,17%, and young deer without horns were 29.08%. The highest activity time is at 08.30-10.30 and the lowest activity time is from 06.00-08.00.

scholarly journals Q-Learning for Flexible Learning of Daily Activity Plans

2005 ◽  
Vol 1935 (1) ◽  
pp. 163-169 ◽  
Author(s):  
David Charypar ◽  
Kai Nagel
Keyword(s):  
Daily Activity ◽  
Marginal Utility ◽  
Activity Time ◽  
Learning Problem ◽  
Q Learning ◽  
Work Shop ◽  
Home Work ◽  
Activity Generation ◽  
Transportation Simulation ◽  
Transportation Activity

Q-learning is a method from artificial intelligence to solve the reinforcement learning problem (RLP), defined as follows. An agent is faced with a set of states, S. For each state s there is a set of actions, A( s), that the agent can take and that takes the agent (deterministically or stochastically) to another state. For each state the agent receives a (possibly stochastic) reward. The task is to select actions such that the reward is maximized. Activity generation is for demand generation in the context of transportation simulation. For each member of a synthetic population, a daily activity plan stating a sequence of activities (e.g., home-work-shop-home), including locations and times, needs to be found. Activities at different locations generate demand for transportation. Activity generation can be modeled as an RLP with the states given by the triple (type of activity, starting time of activity, time already spent at activity). The possible actions are either to stay at a given activity or to move to another activity. Rewards are given as “utility per time slice,” which corresponds to a coarse version of marginal utility. Q-learning has the property that, by repeating similar experiences over and over again, the agent looks forward in time; that is, the agent can also go on paths through state space in which high rewards are given only at the end. This paper presents computational results with such an algorithm for daily activity planning.

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