Relation between endurance of deep cervical flexor muscles and physical activity level, perceived stress, sleep quality, and smartphone addiction

CRANIO® ◽  
2020 ◽  
pp. 1-9 ◽  
Author(s):  
Hilal Başak Can ◽  
Filiz Tuna
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Perceived Stress ◽  
Physical Activity Level ◽  
Activity Level ◽  
Smartphone Addiction ◽  
Flexor Muscles

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 Weight Status, Adherence to the Mediterranean Diet, Physical Activity Level, and Sleep Behavior of Italian Junior High School Adolescents

Nutrients ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 478 ◽  
Author(s):  
Alice Rosi ◽  
Francesca Giopp ◽  
Giulia Milioli ◽  
Gabriele Melegari ◽  
Matteo Goldoni ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Mediterranean Diet ◽  
Sleep Duration ◽  
Physical Activity Level ◽  
Vigorous Physical Activity ◽  
Activity Level ◽  
Sleep Habits ◽  
Achievement Data ◽  
The Mediterranean

Inadequate diet, physical activity, and sleep-related behaviors are potential risk factors for overweight and obese, therefore we investigated the relations between body mass index (BMI) and behavioral factors in a sample of Italian adolescents. Four hundred nine Italian secondary school students (46% females, 12.5 ± 0.6 y.o.) were enrolled in this cross-sectional study. Anthropometric measures, adherence to the Mediterranean Diet (KIDMED), physical activity level (PAQ-C), sleep duration, daytime sleepiness (PDSS), sleep quality, and school achievement data were collected through an online questionnaire. The percentage of overweight adolescents was slightly lower (14%) compared to the regional and the national figures. Approximately 88% of the sample reported a medium/high adherence to the Mediterranean Diet and 77% a moderate/vigorous physical activity level. The average sleep duration was in line with the international sleep recommendation for adolescents and 82% had a medium/high sleep quality. No differences were found between genders except for BMI (lower in females). Unexpectedly, no differences were found among the BMI groups (normal weight vs. overweight vs. obese) for lifestyle variables; in contrast, Mediterranean Diet adherence was associated with sleep habits. Further investigation is required to better explore the associations among behavioral variables involved in adolescents’ healthy development.

scholarly journals Effect of Communication Technology Usage on Sleep and Physical Activity Level in Nursing Students

2020 ◽  
Author(s):  
Yeliz Çulha ◽  
Nuray Turan ◽  
Gülsün Özdemir Aydın ◽  
Hatice Kaya ◽  
Türkinaz Atabek Aştı
Keyword(s):  
Physical Activity ◽  
Nursing Students ◽  
Sleep Quality ◽  
Communication Technology ◽  
Physical Activity Level ◽  
Sleep Disturbances ◽  
Short Form ◽  
Activity Level ◽  
Poor Sleep ◽  
Technology Usage

Objective: The present study was conducted in order to examine effect of communication technology usage on sleep and physical activity level in nursing students. Method: This descriptive and cross-sectional study was carried out with 215 nursing students in the Nursing Department of a Faculty of Health Sciences in Istanbul in the 2016-2017 academic year. 188 nursing students who agreed to participate in the study constituted the sample group. Prior to the start of the study, the ethics committee was granted permission and informed from the students. The data were collected by using Structured Question Form, Pitsburgh Sleep Quality Index (PSQI) and International Physical Activity Inventory (IPAQ short form). Data were analyzed in the program of SPSS 21.00. Results: It was determined that 86.17% of the students were female, their average age was 20.68±1.83 years, 93.6% of the students used internet, 79.3% of them had smartphones in bedrooms. It was determined that the point average of PSQI was 7.74 ± 3.41, Subjective Sleep Quality subscale 0.13±0.42, Sleep Latency 1.81 ± 0.74, Sleep Duration 1.07 ± 1,00, Habitual Sleep Efficiency 0.61±0.94, Sleep Disturbances 0.85 ± 0.98 in the Use of Sleeping Medications and 2.18±1.49 in the Daytime Dysfunctioan. According to IPAQ, the calculated weekly energy consumption point average was determined 1388.04±1644.24. Conclusion: It was seen that the amount of weekly energy in which students had poor sleep quality was low. In this case, it may be advisable not to use the technological tools too much before sleeping.

Sign in / Sign up

Export Citation Format

Share Document