Summer activity patterns for mosses and lichens in Maritime Antarctica

2017 ◽  
Vol 29 (6) ◽  
pp. 517-530 ◽  
Author(s):  
Burkhard Schroeter ◽  
T.G. Allan Green ◽  
Ana Pintado ◽  
Roman Türk ◽  
Leopoldo G. Sancho
Keyword(s):  
Activity Patterns ◽  
Consistent Difference ◽  
Activity Levels ◽  
Snow Melt ◽  
Dry Valleys ◽  
Maritime Antarctica ◽  
Northern Site ◽  
Livingston Island ◽  
The World ◽  
Annual Activity

AbstractWithin Antarctica there are large gradients both in climate and in vegetation which offer opportunities to investigate links between the two. The activity (% total time active) of lichens and bryophytes in hydric and xeric environments was monitored at Livingston Island (62°39'S). This adds a northern site with a maritime, cloudy climate to previous studies in the southern Antarctic Peninsula and the Dry Valleys (78°S). Annual activity increases northwards from less than 1% to nearly 100%. There is a major and consistent difference between hydric sites which, with snow melt, can be 100% active in summer months even in the Dry Valleys, and xeric sites which, depending on precipitation, rarely exceed 80% activity even at Livingston Island. Mosses dominate hydric sites and lichens the xeric sites all along the gradient. Mean temperatures when active are 2–4°C at all sites, as liquid water is required. Light is a potential major stress reaching 880 µmol m-2s-1when active in continental sites. The lack of extremes in temperatures and light combined with high activity levels means that summer at Livingston Island is one of the better sites for lichen and bryophyte growth in the world.

Seasonal Activity Patterns of Two Species of Nyctophilus Bats Based on Mist-Net Captures.

1998 ◽  
Vol 20 (3) ◽  
pp. 349
Author(s):  
R.M. Brigham ◽  
F. Geiser
Keyword(s):  
Activity Patterns ◽  
Activity Cycle ◽  
Activity Levels ◽  
Seasonal Activity ◽  
Daily Torpor ◽  
Bat Activity ◽  
Annual Activity ◽  
A Site ◽  
Mist Net

We evaluated the annual activity cycle of Nytophilus gouldi and N. geoffroyi using 82 nights of mist-netting data from a site near Armidale in northern NSW. Our purpose was to assess whether these bats hibernated or used short bouts of daily torpor combined with foraging on at least some nights. During the cold months of the year (May - August) bat activity levels inferred from net captures was very low providing support for the hypothesis that these bats use daily torpor and at least sometimes actively forage as opposed to entering hibernation.

The Physical Activity Transition

2009 ◽  
Vol 6 (3) ◽  
pp. 269-280 ◽  
Author(s):  
Peter T. Katzmarzyk ◽  
Caitlin Mason
Keyword(s):  
Physical Activity ◽  
Life Expectancy ◽  
Leisure Time ◽  
Activity Patterns ◽  
Mortality Rates ◽  
Morbidity And Mortality ◽  
Activity Levels ◽  
Public Health Burden ◽  
Physical Activity Levels ◽  
The World

Physical activity is important for the prevention of chronic disease morbidity and mortality, and the lack of adequate levels of physical activity represents a growing public health burden around the world. The purpose of this report is to introduce the concept of the “Physical Activity Transition” and to explore the potential effects that declining physical activity levels may play on health and life expectancy as countries undergo economic and demographic changes. Physical activity is related to mortality rates in humans, and the available evidence suggests that the adoption of a lifestyle characterized by lower levels of physical activity will attenuate the expected gains in life expectancy associated with the epidemiological transition. Advances in the measurement of physical activity at work, in the home, for transport, and in leisure time in a wide variety of populations will be integral to advancing the current understanding of how macro-level factors shape physical activity patterns and patterns of morbidity and mortality.

scholarly journals Novel approach to modeling high-frequency activity data to assess therapeutic effects of analgesics in chronic pain conditions

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zekun Xu ◽  
Eric Laber ◽  
Ana-Maria Staicu ◽  
B. Duncan X. Lascelles
Keyword(s):  
High Frequency ◽  
Activity Patterns ◽  
Treatment Strategies ◽  
Therapeutic Effects ◽  
Activity Levels ◽  
Activity Data ◽  
Novel Approach ◽  
High Frequency Activity ◽  
Using Data ◽  
Chronic Pain Conditions

AbstractOsteoarthritis (OA) is a chronic condition often associated with pain, affecting approximately fourteen percent of the population, and increasing in prevalence. A globally aging population have made treating OA-associated pain as well as maintaining mobility and activity a public health priority. OA affects all mammals, and the use of spontaneous animal models is one promising approach for improving translational pain research and the development of effective treatment strategies. Accelerometers are a common tool for collecting high-frequency activity data on animals to study the effects of treatment on pain related activity patterns. There has recently been increasing interest in their use to understand treatment effects in human pain conditions. However, activity patterns vary widely across subjects; furthermore, the effects of treatment may manifest in higher or lower activity counts or in subtler ways like changes in the frequency of certain types of activities. We use a zero inflated Poisson hidden semi-Markov model to characterize activity patterns and subsequently derive estimators of the treatment effect in terms of changes in activity levels or frequency of activity type. We demonstrate the application of our model, and its advance over traditional analysis methods, using data from a naturally occurring feline OA-associated pain model.

scholarly journals Understanding Leisure Centre-Based Physical Activity after Physical Activity Referral: Evidence from Scheme Participants and Completers in Northumberland UK

2021 ◽  
Vol 18 (6) ◽  
pp. 2957
Author(s):  
Jordan Bell ◽  
Lis Neubeck ◽  
Kai Jin ◽  
Paul Kelly ◽  
Coral L. Hanson
Keyword(s):  
Physical Activity ◽  
Administrative Data ◽  
World Health Organisation ◽  
Ordinal Regression ◽  
World Health ◽  
Activity Levels ◽  
The World ◽  
The Uk

Physical activity referral schemes (PARS) are a popular physical activity (PA) intervention in the UK. Little is known about the type, intensity and duration of PA undertaken during and post PARS. We calculated weekly leisure centre-based moderate/vigorous PA for PARS participants (n = 448) and PARS completers (n = 746) in Northumberland, UK, between March 2019–February 2020 using administrative data. We categorised activity levels (<30 min/week, 30–149 min/week and ≥150 min/week) and used ordinal regression to examine predictors for activity category achieved. PARS participants took part in a median of 57.0 min (IQR 26.0–90.0) and PARS completers a median of 68.0 min (IQR 42.0–100.0) moderate/vigorous leisure centre-based PA per week. Being a PARS completer (OR: 2.14, 95% CI: 1.61–2.82) was a positive predictor of achieving a higher level of physical activity category compared to PARS participants. Female PARS participants were less likely (OR: 0.65, 95% CI: 0.43–0.97) to achieve ≥30 min of moderate/vigorous LCPA per week compared to male PARS participants. PARS participants achieved 38.0% and PARS completers 45.3% of the World Health Organisation recommended ≥150 min of moderate/vigorous weekly PA through leisure centre use. Strategies integrated within PARS to promote PA outside of leisure centre-based activity may help participants achieve PA guidelines.

Pedestrian Activity Among California Adults

2009 ◽  
Vol 6 (1) ◽  
pp. 15-23 ◽  
Author(s):  
Anna E. Mathews ◽  
Natalie Colabianchi ◽  
Brent Hutto ◽  
Delores M. Pluto ◽  
Steve P. Hooker
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Activity Patterns ◽  
Physical Activity Promotion ◽  
Activity Level ◽  
Activity Levels ◽  
Public Health Agencies ◽  
Activity Promotion ◽  
Health Agencies ◽  
Random Digit Dial

Background:The objectives of this study were to assess (1) pedestrian activity levels among adults, (2) where and why adults engage in pedestrian activity, and (3) what adults consider when deciding where to engage in pedestrian activity.Methods:Pedestrian activity was assessed in 12,036 California adults, ≥18 years, using a random digit-dial telephone survey.Results:Significant differences were identified by race, sex, age, and physical activity level in the type, location, and purpose of pedestrian activities. Men engage in pedestrian activity at work, and women engage in pedestrian activity while escorting children to school and running errands. Whites primarily engage in leisure-time pedestrian activity, and non-whites are more likely to engage in pedestrian activity for transportation. Older adults were less active than their younger counterparts.Conclusions:These findings should be considered by public health agencies and their partners as they continue to increase and promote opportunities for pedestrian activity. Additional research is needed to assess older adults’ physical activity patterns and preferences, barriers, and facilitators to effectively tailor physical activity promotion efforts to this at-risk group.

scholarly journals The Intricacies of Children’s Physical Activity

2015 ◽  
Vol 47 (1) ◽  
pp. 269-275 ◽  
Author(s):  
Timothy A Brusseau
Keyword(s):  
Physical Activity ◽  
Physical Education ◽  
Activity Patterns ◽  
Activity Levels ◽  
Physical Activity Patterns ◽  
Change Behavior ◽  
Before And After ◽  
School Recess ◽  
Physical Activity Programming ◽  
Children’S Physical Activity

AbstractUnderstanding the physical activity patterns of youth is an essential step in preparing programming and interventions needed to change behavior. To date, little is known about the intricacies of youth physical activity across various physical activity segments (i.e. in school, out of school, recess, classroom physical activity, physical education, weekends, etc.). Therefore, the purpose of the study was to examine the physical activity patterns of elementary school children across various segments and during two seasons. A total of 287 fourth and fifth graders from the Southwest US wore the Yamax Digiwalker SW-200 pedometer for 7 consecutive days during the Fall and Spring seasons. Children were prompted to record their step counts when arriving and leaving school, before and after physical education and recess, as well as on the weekends. Means and standard deviations were calculated and ANOVAs and t tests were utilized to examine difference by sex, season, and segment. Youth were more active outside of school and on weekdays (p<0.05). Boys were generally more active than girls and all youth were more active during the milder Spring season. There is a clear need for Comprehensive School Physical Activity Programming and weekend physical activity opportunities. Furthermore, greater emphasis is needed on PE and across other activity segments for girls to increase their physical activity levels.

scholarly journals Correlation between annual activity patterns of venomous snakes and rural people in the Niger Delta, southern Nigeria

2013 ◽  
Vol 19 (1) ◽  
pp. 2 ◽  
Author(s):  
Godfrey C Akani ◽  
Nwabueze Ebere ◽  
Daniel Franco ◽  
Edem A Eniang ◽  
Fabio Petrozzi ◽  
...  
Keyword(s):  
Niger Delta ◽  
Activity Patterns ◽  
Rural People ◽  
Venomous Snakes ◽  
Southern Nigeria ◽  
Annual Activity

scholarly journals Youth Physical Activity Patterns During School and Out-of-School Time

Children ◽  
2018 ◽  
Vol 5 (9) ◽  
pp. 118 ◽  
Author(s):  
Pedro Saint-Maurice ◽  
Yang Bai ◽  
Spyridoula Vazou ◽  
Gregory Welk
Keyword(s):  
Physical Activity ◽  
High School Students ◽  
Discrete Time ◽  
Vigorous Physical Activity ◽  
Activity Patterns ◽  
After School ◽  
Activity Levels ◽  
School Students ◽  
Time Periods ◽  
Out Of School

This study describes age, sex, and season patterns in children’s physical activity behaviors during discrete time periods, both in school and at home. Participants were 135 elementary, 67 middle, and 89 high-school students (128 boys and 163 girls) involved in a larger school activity monitoring project. We examined time spent in moderate-to-vigorous physical activity (MVPA) at recess, physical education (PE), lunch, commuting to/from school, before-school, after-school, evening, and weekend segments. Differences in MVPA by age, sex, and season were examined using a three-way analysis of variance and separately for each individual segment. Moderate-to-vigorous physical activity levels varied by context and were higher during recess (15.4 ± 8.5 min) while at school, and on Saturdays (97.4 ± 89.5 min) when youth were out-of-school. Elementary children were more active than their older counterparts only during lunch time, after-school, and Sunday (p < 0.05). Boys were consistently more active than girls at all segments. Participants were only more active during non-winter than winter months during PE (p = 0.006), after-school (p < 0.001), and Sunday (p = 0.008) segments. These findings showed that activity levels in youth vary during the day and season. The segments reflect discrete time periods that can potentially be targeted and evaluated to promote physical activity in this population.

Annual activity patterns of snakes from central Argentina (Córdoba province)

2008 ◽  
Vol 43 (1) ◽  
pp. 19-24 ◽  
Author(s):  
Gerardo C. Leynaud ◽  
Gustavo J. Reati ◽  
Enrique H. Bucher
Keyword(s):  
Activity Patterns ◽  
Central Argentina ◽  
Annual Activity

Activity patterns in relation to body mass and ambient temperature among overwintering cotton rats (Sigmodon hispidus)

1998 ◽  
Vol 76 (4) ◽  
pp. 668-672 ◽  
Author(s):  
Maria A Eifler ◽  
Norman A Slade
Keyword(s):  
Specific Activity ◽  
Activity Patterns ◽  
General Linear Model ◽  
Time Of Day ◽  
Sigmodon Hispidus ◽  
Activity Levels ◽  
Class Time ◽  
Time Class ◽  
Cotton Rats ◽  
Probability Of Capture

We examined mass-specific activity patterns among overwintering cotton rats (Sigmodon hispidus) in northeastern Kansas. We livetrapped animals for a 24-h period, checking traps every 2 h. Trapping occurred every 2 weeks for 5 months. We estimated probability of capture for each mass class, time class, and date, then tested for differences in probability of capture (i.e., activity levels) using a General Linear Model with temperature as a covariate. Large cotton rats were significantly less active than small and intermediate-sized cotton rats. Activity of small cotton rats increased with decreasing temperature, whereas larger cotton rats were less responsive to temperature. Finally, activity levels of large and small cotton rats did not vary significantly with time of day, but intermediate-sized cotton rats were significantly less likely to be captured during the night than at dusk.

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