scholarly journals Physical activity level, sleep quality, attention control and self-regulated learning along to smartphone addiction among college students

2015 ◽  
Vol 16 (1) ◽  
pp. 429-437 ◽  
Author(s):  
Dongwon Choi
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Sleep Quality ◽  
Physical Activity Level ◽  
Activity Level ◽  
Attention Control ◽  
Smartphone Addiction ◽  
Self Regulated Learning ◽  
Regulated Learning

scholarly journals Effects of Covid-19 pandemic in Turkey: Physical activity, smartphone usage, musculoskeletal system

2021 ◽  
Vol 38 (4) ◽  
pp. 550-556
Author(s):  
Sinem SUNER KEKLIK ◽  
Ayse NUMANOLU AKBAS
Keyword(s):  
Physical Activity ◽  
Neck Pain ◽  
Musculoskeletal System ◽  
Physical Activity Level ◽  
Short Form ◽  
Activity Level ◽  
Smartphone Addiction ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Waking Up

This study aims to evaluate relationship between physical activity level, smartphone usage, back and neck health during Covid-19 pandemic. Participants between ages of 18-65 were included in study. Smartphone usage was evaluated with Smartphone Addiction Scale-Short Version, physical activity levels with short form of International Physical Activity Questionnaire. Oswestry Disability Index and Neck Bournemouth Questionnaire was used to evaluate back and neck problems. A total of 251 people (179 women, 72 men, age: 28.11±9.49 years, min-max: 18-62 years) participated in study. 134 participants (53.38%) had low physical activity levels; 35 individuals (13.94%) had sufficient physical activity levels while 82 participants (32.66%) were not physically active. A weak positive correlation was found between neck pain and total score of smartphone addiction scale, daily smartphone usage time, daily smartphone check frequency, and first check time after waking up (r=0.199, r=0.149, r=0.132, respectively). A weak negative correlation was found between neck pain and first check time after waking up (r=-0.145). As a result of study, it was observed that physical activity levels were insufficient in majority of individuals who participated in survey. The relationships we expected between physical activity level, smartphone usage characteristics, low back and neck health could not be demonstrated, only weak relationships were found between some features of smartphone use and neck health. We believe that finding solutions to increase physical activity levels of individuals during pandemic period will have both protective effects on health and will prevent problems by affecting musculoskeletal system positively.

scholarly journals Seasonal Differences in Light Exposure and the Associations With Health and Well-Being in Older Adults: An Exploratory Study

2017 ◽  
Vol 10 (5) ◽  
pp. 64-79 ◽  
Author(s):  
Amanda Nioi ◽  
Jenny Roe ◽  
Alan Gow ◽  
David McNair ◽  
Peter Aspinall
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Older People ◽  
Physical Activity Level ◽  
Exploratory Study ◽  
Light Exposure ◽  
Well Being ◽  
Activity Level ◽  
Significant Difference ◽  
Health And Well Being

Objective: This article reports summer verses winter seasonal variations across a suite of blue light, illuminance levels and health and well-being indicators. Background: The quality of lighting in care homes has been assessed previously, yet seasonal comparisons and the associations with sleep quality are limited. This exploratory study investigates light exposure in two seasons to determine the changes over time and the associations with health and well-being. Methods: In a repeated measures design, 16 older people (aged 72–99 years) living in a care home had their personal light exposure and sleep/wake patterns monitored for 4 days. Cognitive ability, mental well-being, daytime physical activity, and visual function were assessed. Mean light levels at preset times across the day, duration in light exposure over 1,000 lux, and sleep parameters were computed. Statistical investigations included correlations exploring associations and paired means tests to detect the changes between seasons. Results: The mean morning illuminance level in summer was 466 lux and 65 lux in winter. Duration in bright light over 1,000 lux was 46 min in summer and 3 min in winter. Light measures were significantly higher in summer. There was no statistical difference in sleep quality parameters between seasons, but there were significant difference in daytime physical activity level (i.e., this was higher in summer). Conclusion: The findings indicate low level of light exposures experienced in both seasons, with exposure levels being particularly low in winter. This provides new insights into the limited amount of light older people receive independent of season and the possible impacts on sleep and daytime physical activity level.

scholarly journals Sedentary Lifestyle Matters as Past Sedentariness, Not Current Sedentariness, Predicts Cognitive Inhibition Performance among College Students: An Exploratory Study

2021 ◽  
Vol 18 (14) ◽  
pp. 7649
Author(s):  
Valentin Magnon ◽  
Guillaume T. Vallet ◽  
Frédéric Dutheil ◽  
Catherine Auxiette
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Physical Activity Level ◽  
Sedentary Time ◽  
Sedentary Lifestyle ◽  
Negative Association ◽  
Activity Level ◽  
Cognitive Inhibition ◽  
Inhibition Performance ◽  
The Impact

Background: Currently, sedentariness is assessed over a short period of time, thus it is difficult to study its cognitive implications. To investigate the cognitive consequences of a sedentary lifestyle, the past level (i.e., the sedentary time accumulated over the years) and current level of sedentariness should be considered. This pilot study aimed to investigate the negative association between a sedentary lifestyle and cognition by considering both the current and past sedentariness. It was expected that the physical activity level moderates the potential negative association between sedentariness and cognition. Methods: 52 college students (Mage = 20.19, SDage = 2; 36 women) participated in the study. Current sedentariness (ratio of sedentary time in the last year), past sedentariness (ratio of sedentary time accumulated in previous years), and physical activity (ratio of time spent in physical activity in years) were assessed using a questionnaire. Cognitive inhibition, cognitive flexibility, and working memory updating were measured through three specific tests. Results: Past sedentariness significantly explained the inhibition performance when controlled for physical activity, whereas current sedentariness did not. More precisely, past sedentariness only negatively predicted cognitive inhibition when the physical activity level was low (β = −3.15, z(48) = −2.62, p = 0.01). Conclusions: The impact of sedentariness on cognitive functioning might only be revealed when past sedentariness and physical activity are controlled.

Sign in / Sign up

Export Citation Format

Share Document