scholarly journals A Systematic Analysis of Adolescents’ Physical Activity Level and Sedentary Behavior

2020 ◽  
Author(s):  
Salem Alshammari ◽  
Heyam Reda Boushehry ◽  
Sultan Mohammed Alsahli
Keyword(s):  
Physical Activity ◽  
Young People ◽  
Disease Control ◽  
Sedentary Behavior ◽  
Well Being ◽  
Activity Level ◽  
World Health ◽  
Noncommunicable Diseases ◽  
Systematic Analysis ◽  
Centers For Disease Control

Abstract Physical activity (PA) promotion and sedentary behavior (SB) reduction are needed to address the increasing rates of noncommunicable diseases (World Health Organization. Noncommunicable diseases, 2018). In the last two decades, there has been an increase in the incidence of both overweight young people and diabetes. Many countries have been looking for solutions to help young people achieve well-being (Centers for Disease Control and Prevention, 2011). However, few studies have been conducted to examine PA levels among adolescents, which leaves gaps to be filled regarding the understanding of overall health in adolescents. The purpose of this study was to examine the extent to which adolescents engage in regular PA as opposed to sedentary activities, such as watching television and using the internet, after controlling for sex and age. Finally, this study helped address how adolescents spend their time engaging in PA. The data were obtained from the National Youth Risk Behavior Survey (NYRB-S) 2007 by the Centers for Disease Control (http://www.cdc.gov/HealthyYouth/yrbs/data/). The participants in this study consisted of (14041) adolescents ranging in age from 12 to 18 years old. The NYRB-S was an instrument used to assess risk factors that affect adolescents. We concluded that there were significant overall effects of daily time watching television and age on PA level. Subjects who spent 4 to 14 hours daily watching television had a significantly higher mean level of PA than subjects who watched television for 0 to 4 hours daily. The analysis also showed that the seven age groups differed significantly. There were significant correlations between time spent engaging in SB, age and PA levels. An increase in television viewing was related to a decrease in PA, and subjects between the ages of 13 and 16 tended to watch television more frequently.

scholarly journals The First Global Physical Activity and Sedentary Behavior Guidelines for People Living With Disability

2020 ◽  
pp. 1-8 ◽  
Author(s):  
Catherine Carty ◽  
Hidde P. van der Ploeg ◽  
Stuart J.H. Biddle ◽  
Fiona Bull ◽  
Juana Willumsen ◽  
...  
Keyword(s):  
Physical Activity ◽  
World Health Organization ◽  
Sedentary Behavior ◽  
Action Plan ◽  
Activity Level ◽  
World Health ◽  
Global Public Health ◽  
The World ◽  
Inclusive Policy ◽  
Health Organization

Background: The World Health Organization has released the first global public health guidelines on physical activity and sedentary behavior for people living with disability. This paper presents the guidelines, related processes, and evidence, and elaborates upon how the guidelines can support inclusive policy, practice, and research. Methods: Methods were consistent with the World Health Organization protocols for developing guidelines. Systematic reviews of the evidence on physical activity for health for people living with disability were appraised, along with a consideration of the evidence used to inform the general 2020 World Health Organization guidelines. Results: Evidence supported the development of recommendations for people living with disability, stressing that there are no major risks to engaging in physical activity appropriate to an individual’s current activity level, health status, and physical function, and that the health benefits accrued generally outweigh the risks. They also emphasize the benefits of limiting sedentary behavior. Conclusions: The guidelines mark a positive step forward for disability inclusion, but considerable effort is needed to advance the agenda. This paper highlights key considerations for the implementation of the new recommendations for people living with disability, in line with the human rights agenda underpinning the Global Action Plan on Physical Activity 2018–2030 and allied policies.

scholarly journals Chronic noncommunicable diseases multimorbidity and its association with physical activity and television time in a representative Brazilian population

2019 ◽  
Vol 35 (11) ◽  
Author(s):  
Marina Christofoletti ◽  
Giovani Firpo Del Duca ◽  
Daniel Umpierre ◽  
Deborah Carvalho Malta
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Chronic Diseases ◽  
Brazilian Population ◽  
Activity Level ◽  
Noncommunicable Disease ◽  
Noncommunicable Diseases ◽  
Outcome Variable ◽  
Cross Sectional Survey ◽  
Television Time

Abstract: Lifestyle behaviors need to be more explored within the context of chronic noncommunicable disease (NCD) multimorbidity. This study aimed to investigate the association of multimorbidity with physical activity and sedentary behavior in a representative Brazilian population (n = 52,929). A cross-sectional survey (VIGITEL in the Portuguese acronym) was conducted in 2013 in the 27 Brazilian federal units. Multimorbidity is defined as the presence of two or more NCDs, that is, the outcome variable; and physical activity (commuting, domestic chores, leisure, and work domains) and sedentary behavior (television time < 2 hours/day and ≥ 2 hours/day) were the exposure variables. Poisson and multinomial logistic regressions (odds ratio - OR) stratified by age and their respective 95% confidence intervals were used, adopting a significance level of 5%. Among 37,947 adults, the presence of three chronic diseases was less frequent in subjects active in the work domain (OR = 0.60) and more frequent among those with longer daily television time (OR = 1.25). The presence of four diseases was less frequent in subjects active in the commuting (OR = 0.52) and work (OR = 0.42) domains. Among 14,982 older adults, the presence of two, three, and four chronic diseases was consistently more frequent in those with longer daily television time (OR = 1.33; 1.55 and 1.93, respectively). Finally, interactions between total physical activity level and daily television time were statistically significant in the multimorbidity in both age groups. Physical activity and sedentary behavior are associated with multimorbidity and should be considered independent factors for health promotion and for the treatment of patients with multimorbidity.

Comparisons of physical activity and sedentary behavior between owners and non-owners of commercial wearable devices

2021 ◽  
Vol 141 (2) ◽  
pp. 89-96
Author(s):  
Hsin-Yen Yen ◽  
Hao-Yun Huang
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Sedentary Time ◽  
Short Form ◽  
Wearable Devices ◽  
Wearable Device ◽  
World Health ◽  
World Health Organization Quality ◽  
Quality Of Life Scale

Aims: Wearable devices are a new strategy for promoting physical activity in a free-living condition that utilizes self-monitoring, self-awareness, and self-determination. The main purpose of this study was to explore health benefits of commercial wearable devices by comparing physical activity, sedentary time, sleep quality, and other health outcomes between individuals who used and those that did not use commercial wearable devices. Methods: The research design was a cross-sectional study using an Internet survey in Taiwan. Self-administered questionnaires included the International Physical Activity Questionnaire–Short Form, Pittsburgh Sleep Quality Index, Health-Promoting Lifestyle Profile, and World Health Organization Quality-of-Life Scale. Results: In total, 781 participants were recruited, including 50% who were users of wearable devices and 50% non-users in the most recent 3 months. Primary outcomes revealed that wearable device users had significantly higher self-reported walking, moderate physical activity, and total physical activity, and significantly lower sedentary time than non-users. Wearable device users had significantly better sleep quality than non-users. Conclusion: Wearable devices inspire users’ motivation, engagement, and interest in physical activity through habit formation. Wearable devices are recommended to increase physical activity and decrease sedentary behavior for promoting good health.

scholarly journals Physical Activity Patterns in India Stratified by Zones, Age, Region, BMI and Implications for COVID-19: A Nationwide Study

2021 ◽  
pp. 097275312199850
Author(s):  
Vivek Podder ◽  
Raghuram Nagarathna ◽  
Akshay Anand ◽  
Patil S. Suchitra ◽  
Amit Kumar Singh ◽  
...  
Keyword(s):  
Physical Activity ◽  
World Health Organization ◽  
Rural Areas ◽  
World Health ◽  
Noncommunicable Diseases ◽  
Home Work ◽  
The World ◽  
Health Organization ◽  
Physically Inactive ◽  
At Home

Rationale: India has a high prevalence of noncommunicable diseases (NCDs), which can be lowered by regular physical activity. To understand this association, recent population data is required which is representative of all the states and union territories of the country. Objective: We aimed to investigate the patterns of physical activity in India, stratified by zones, body mass index (BMI), urban, rural areas, and gender. Method: We present the analysis of physical activity status from the data collected during the phase 1 of a pan-India study. This ( Niyantrita Madhumeha Bharata 2017) was a multicenter pan-India cluster sampled trial with dual objectives. A survey to identify all individuals at a high risk for diabetes, using a validated instrument called the Indian Diabetes Risk Score (IDRS), was followed by a two-armed randomized yoga-based lifestyle intervention for the primary prevention of diabetes. The physical activity was scored as per IDRS (vigorous exercise or strenuous at work = 0, moderate exercise at home/work = 10, mild exercise at home/work = 20, no exercise = 30). This was done in a selected cluster using a mobile application. A weighted prevalence was calculated based on the nonresponse rate and design weight. Results: We analyzed the data from 2,33,805 individuals; the mean age was 41.4 years (SD 13.4). Of these, 50.6% were females and 49.4% were males; 45.8% were from rural areas and 54% from urban areas. The BMI was 24.7 ± 4.6 kg/m 2 . Briefly, 20% were physically inactive and 57% of the people were either inactive or mildly active. 21.2% of females were found physically inactive, whereas 19.2% of males were inactive. Individuals living in urban localities were proportionately more inactive (21.7% vs. 18.8%) or mildly active (38.9% vs. 34.8%) than the rural people. Individuals from the central (29.6%) and south zones (28.6%) of the country were also relatively inactive, in contrast to those from the northwest zone (14.2%). The known diabetics were found to be physically inactive (28.3% vs. 19.8%) when compared with those unaware of their diabetic status. Conclusion: 20% and 37% of the population in India are not active or mildly active, respectively, and thus 57% of the surveyed population do not meet the physical activity regimen recommended by the World Health Organization. This puts a large Indian population at risk of developing various NCDs, which are being increasingly reported to be vulnerable to COVID-19 infections. India needs to adopt the four strategic objectives recommended by the World Health Organization for reducing the prevalence of physical inactivity.

scholarly journals Associations between objectively measured physical activity, sedentary behaviour and time in bed among 75+ community-dwelling Danish older adults

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Li-Tang Tsai ◽  
Eleanor Boyle ◽  
Jan C. Brønd ◽  
Gry Kock ◽  
Mathias Skjødt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Sedentary Behavior ◽  
Sedentary Behaviour ◽  
Sleep Duration ◽  
Activity Level ◽  
Time In Bed ◽  
Objectively Measured ◽  
Objectively Measured Physical Activity ◽  
Vector Magnitude

Abstract Background Older adults are recommended to sleep 7–8 h/day. Time in bed (TIB) differs from sleep duration and includes also the time of lying in bed without sleeping. Long TIB (≥9 h) are associated with self-reported sedentary behavior, but the association between objectively measured physical activity, sedentary behavior and TIB is unknown. Methods This study was based on cross-sectional analysis of the Healthy Ageing Network of Competence (HANC Study). Physical activity and sedentary behaviour were measured by a tri-axial accelerometer (ActiGraph) placed on the dominant wrist for 7 days. Sedentary behavior was classified as < 2303 counts per minute (cpm) in vector magnitude and physical activity intensities were categorized, as 2303–4999 and ≥ 5000 cpm in vector magnitude. TIB was recorded in self-reported diaries. Participants were categorized as UTIB (usually having TIB 7–9 h/night: ≥80% of measurement days), STIB (sometimes having TIB 7–9 h/night: 20–79% of measurement days), and RTIB (rarely having TIB 7–9 h/night: < 20% of measurement days). Multinominal regression models were used to calculate the relative risk ratios (RRR) of being RTIB and STIB by daily levels of physical activity and SB, with UTIB as the reference group. The models were adjusted for age, sex, average daily nap length and physical function. Results Three hundred and fourty-one older adults (median age 81 (IQR 5), 62% women) were included with median TIB of 8 h 21 min (1 h 10 min)/day, physical activity level of 2054 (864) CPM with 64 (15) % of waking hours in sedentary behavior. Those with average CPM within the highest tertile had a lower RRR (0.33 (0.15–0.71), p = 0.005) for being RTIB compared to those within the lowest tertile of average CPM. Accumulating physical activity in intensities 2303–4999 and ≥ 5000 cpm/day did not affect the RRR of being RTIB. RRR of being RTIB among highly sedentary participants (≥10 h/day of sedentary behavior) more than tripled compared to those who were less sedentary (3.21 (1.50–6.88), p = 0.003). Conclusions For older adults, being physically active and less sedentary was associated with being in bed for 7–9 h/night for most nights (≥80%). Future longitudinal studies are warranted to explore the causal relationship sbetween physical activity and sleep duration.

scholarly journals Physical activity and mental well-being under COVID-19 lockdown: a cross-sectional multination study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Costas I. Karageorghis ◽  
Jonathan M. Bird ◽  
Jasmin C. Hutchinson ◽  
Mark Hamer ◽  
Yvonne N. Delevoye-Turrell ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Young Adults ◽  
Sedentary Behavior ◽  
Online Survey ◽  
Electronic Device ◽  
Well Being ◽  
Middle Aged ◽  
Steps Per Day ◽  
Western Nations

Abstract Background COVID-19 lockdowns have reduced opportunities for physical activity (PA) and encouraged more sedentary lifestyles. A concomitant of sedentariness is compromised mental health. We investigated the effects of COVID-19 lockdown on PA, sedentary behavior, and mental health across four Western nations (USA, UK, France, and Australia). Methods An online survey was administered in the second quarter of 2020 (N = 2541). We measured planned and unplanned dimensions of PA using the Brunel Lifestyle Physical Activity Questionnaire and mental health using the 12-item General Health Questionnaire. Steps per day were recorded only from participants who used an electronic device for this purpose, and sedentary behavior was reported in hours per day (sitting and screen time). Results In the USA and Australia samples, there was a significant decline in planned PA from pre- to during lockdown. Among young adults, Australians exhibited the lowest planned PA scores, while in middle-aged groups, the UK recorded the highest. Young adults exhibited the largest reduction in unplanned PA. Across nations, there was a reduction of ~ 2000 steps per day. Large increases in sedentary behavior emerged during lockdown, which were most acute in young adults. Lockdown was associated with a decline in mental health that was more pronounced in women. Conclusions The findings illustrate the deleterious effects of lockdown on PA, sedentary behavior, and mental health across four Western nations. Australian young and lower middle-aged adults appeared to fare particularly badly in terms of planned PA. The reduction in steps per day is equivalent to the non-expenditure of ~ 100 kcal. Declines in mental health show how harmful lockdowns can be for women in particular.

scholarly journals Associations between lifestyle behaviour changes and the optimal well-being of middle-aged Japanese individuals

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Toshihiro Takao ◽  
Naoki Sumi ◽  
Yoshiyuki Yamanaka ◽  
Sohachi Fujimoto ◽  
Tomoari Kamada
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Dietary Habits ◽  
Chronic Renal Disease ◽  
Well Being ◽  
Regular Physical Activity ◽  
World Health ◽  
Positive Health ◽  
Lifestyle Behaviour ◽  
Lifestyle Behaviours

Abstract Background Psychological well-being has been associated with reduced mortality rates in both healthy and diseased populations. However, there is considerably less evidence on the effect of lifestyle behaviours on positive health outcomes such as well-being. This study examines the association between lifestyle behaviours and optimal well-being. Methods From a total of 4324 Japanese individuals who participated in an annual health check-up in 2017, this study recruited 2295 participants (mean age: 49.3 ± 8.4 years; female: 54.3%) without a history of cerebrovascular, cardiovascular, or chronic renal disease and not on medication for hypertension, diabetes, or dyslipidaemia. The World Health Organization-Five Well-Being Index (WHO-5) scores were compared to self-reported scores on each of the following items: dietary habits, physical activity, smoking, alcohol consumption, and sleep quality. Logistic regression analysis was used to examine the association between optimal well-being (the top quartile of WHO-5 scores) and individual lifestyle behaviours. The association between change in dietary habits and physical activity from 2016 to 2017 and optimal well-being was also investigated. Results Good dietary habits and regular physical activity were associated with higher raw WHO-5 scores and were positively associated with optimal well-being after adjusting for age, sex, body mass index (BMI), and sleep quality. Raw WHO-5 scores were significantly higher in those who maintained good dietary and physical activity behaviours than in those who did not. Furthermore, maintaining regular physical activity for two years was positively associated with optimal well-being, after adjusting for age, sex, BMI, and sleep quality. Conclusion These results demonstrate that not only currently practising good dietary and physical activity behaviours but also maintaining such behaviours over time is associated with optimal well-being. Maintaining good lifestyle behaviours, particularly regarding physical activity, could potentially improve people’s well-being.

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