scholarly journals Lifestyle behaviors trend and their relationship with fear level of COVID-19: Cross-sectional study in Saudi Arabia

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257904
Author(s):  
Shaima A. Alothman ◽  
Abdullah F. Alghannam ◽  
Alaa A. Almasud ◽  
Arwa S. Altalhi ◽  
Hazzaa M. Al-Hazzaa
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Saudi Arabia ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Online Survey ◽  
Dietary Habits ◽  
Poor Sleep ◽  
Lifestyle Behaviors ◽  
Distress Scale

Introduction COVID-19 pandemic cautionary measures have affected the daily life of people around the globe. Further, understanding the complete lifestyle behaviors profile can help healthcare providers in designing effective interventions and assessing overall health impact on risk of disease development. Thus, this study aims to assess the complete spectrum of lifestyle behaviors (physical activity, sedentary behavior, sleep, distress, social support, dietary habits, and smoking) prevalence and its association with fear of COVID-19 in people living in Saudi Arabia. Methods Self-administered survey consisted of seven sections was used to collect data on fear of COVID-19 using Fear of COVID-19 Scale (FCV-19S), physical activity and sedentary behavior using the Global Physical Activity Questionnaire (GPAQ), sleep quality using the Pittsburgh Sleep Quality Index (PSQI), psychosocial distress using Kessler Psychological Distress Scale (K-10), social support using the MOS social support survey, and dietary habits using a short version of food frequency questionnaire (FFQ). The online survey was distributed via social media platforms during lockdown period of COVID-19 pandemic (May–June 2020). Each section consisted of validated questionnaire examining one of aforementioned lifestyle behaviors. Associations were analyzed using multiple linear regression. Results A total of 669 individuals attempted to complete the online survey, 554 participants completed at least 2 sections of the survey (82.8%), and 41.3% (n = 276) completed the whole online survey. The majority of the sample were female (83%), not smokers (86.5%), had sufficient sleep duration (7.5 hrs ± 2.1), and only indicated mild level of distress (21.4 ± 8.9); they also reported high level of sedentary behavior (7.7 hrs ± 4.5), poor sleep quality (5.4 ± 2.4), were not engaged in healthy eating habits, and moderate level of perceived social support (62.0% ± 27). Only physical activity results indicated that about half of the sample were engaged in moderate to vigorous level of physical activity (54.3%). Further, being female (β = 0.12; 95% CI: 0.45, 2.94) and married (β = 0.13; 95% CI: 0.3, 2.63) were associated with fear of COVID-19 level (β = 0.21; 95% IC: 0.05, 0.19) with a confidence interval level of 95%. In addition, distress was associated with fear. Conclusion The trend of lifestyle behaviors measured during lockdown period changed from previously published rates. Future research needs to establish the short-term and long-term effect of lifestyle behaviors complete profile on physical and mental health.

scholarly journals Effects of home quarantine during COVID-19 lockdown on physical activity and dietary habits of adults in Saudi Arabia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hanan Alfawaz ◽  
Osama E. Amer ◽  
Abdulaziz A. Aljumah ◽  
Dara A. Aldisi ◽  
Mushira A. Enani ◽  
...  
Keyword(s):  
Physical Activity ◽  
Saudi Arabia ◽  
Social Mobility ◽  
Odds Ratio ◽  
Online Survey ◽  
Fruits And Vegetables ◽  
Dietary Habits ◽  
Dietary Behaviors ◽  
Lifestyle Behaviors ◽  
Arabic And English

AbstractPublic health endorsements during the present COVID-19 pandemic has led the governments of largely affected countries to imply policies that restrict social mobility to slow COVID-19 spread. The study aimed to explore the effects of COVID-19 home quarantine on lifestyle and health behavior of Saudi residents. An online survey in Saudi Arabia was launched from May 11 to June 6, 2020. The survey was designed by multidisciplinary scientists and academics uploaded and shared through the Google platform in Arabic and English languages. Questions presented related to responses “before” and “during” COVID-19 home quarantine. A total of 1965 respondents participated and were included in the analysis [921 (47.0%) males and 1044 (53.0%) females]. Non-Saudis were more likely to increase their physical activity during quarantine [odds ratio (95% confidence interval 1.41 (1.11–1.79); p < 0.005]. Prevalence of participants walking daily for more than 4 times per week significantly decreased during pandemic (before vs during, 30.5% vs 29.1%) which was in parallel to the significant increase in the prevalence of participants who did not perform daily walking during the quarantine (21% vs 22.9%; p < 0.001). The prevalence of participants who often consume snacks between meals increased during quarantine (27.4% vs 29.4%, p < 0.001), while the prevalence of participants who never consumed fresh fruits and vegetables significantly increased during home quarantine (2.4% vs 3.7%; p = 0.019). The lockdown imposed in Saudi Arabia modestly but significantly impacted physical activity and dietary behaviors of several citizens and residents in an unhealthy way. Interventions to alleviate these acute adverse lifestyle behaviors during pandemic should be formulated.

scholarly journals POS1465-HPR THE RELATIONSHIP BETWEEN SEDENTARY BEHAVIOR AND SLEEP IN RHEUMATOID ARTHRITIS: A CROSS-SECTIONAL STUDY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1017.2-1018
Author(s):  
N. Kelly ◽  
E. Hawkins ◽  
H. O’leary ◽  
K. Quinn ◽  
G. Murphy ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Disease Duration ◽  
Cross Sectional Study ◽  
P Value ◽  
Poor Sleep ◽  
Cross Sectional ◽  
The Relationship

Background:Rheumatoid arthritis (RA) is a chronic, autoimmune inflammatory condition that affects 0.5% of the adult population worldwide (1). Sedentary behavior (SB) is any waking behavior characterized by an energy expenditure of ≤1.5 METs (metabolic equivalent) and a sitting or reclining posture, e.g. computer use (2) and has a negative impact on health in the RA population (3). Sleep is an important health behavior, but sleep quality is an issue for people living with RA (4, 5). Poor sleep quality is associated with low levels of physical activity in RA (4) however the association between SB and sleep in people who have RA has not been examined previously.Objectives:The aim of this study was to investigate the relationship between SB and sleep in people who have RA.Methods:A cross-sectional study was conducted. Patients were recruited from rheumatology clinics in a large acute public hospital serving a mix of urban and rural populations. Inclusion criteria were diagnosis of RA by a rheumatologist according to the American College of Rheumatology criteria age ≥ 18 and ≤ 80 years; ability to mobilize independently or aided by a stick; and to understand written and spoken English. Demographic data on age, gender, disease duration and medication were recorded. Pain and fatigue were measured by the Visual Analogue Scale (VAS), anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS), and sleep quality was assessed using the Pittsburgh Sleep Quality Index. SB was measured using the ActivPAL4™ activity monitor, over a 7-day wear period. Descriptive statistics were calculated to describe participant characteristics. Relationships between clinical characteristics and SB were examined using Pearson’s correlation coefficients and regression analyses.Results:N=76 participants enrolled in the study with valid data provided by N=72 participants. Mean age of participants was 61.5years (SD10.6) and the majority 63% (n = 47) were female. Participant mean disease duration was 17.8years (SD10.9). Mean SB time was 533.7 (SD100.1) minutes (8.9 hours per day/59.9% of waking hours). Mean sleep quality score was 7.2 (SD5.0) (Table 1). Correlation analysis and regression analysis found no significant correlation between sleep quality and SB variables. Regression analysis demonstrated positive statistical associations for SB time and body mass index (p-value=0.03846, R2 = 0.05143), SB time and pain VAS (p-value=0.009261, R2 = 0.07987), SB time and HADS (p-value = 0.009721, R2 = 0.08097) and SB time and HADSD (p-value = 0.01932, R2 = 0.0643).Conclusion:We found high levels of sedentary behavior and poor sleep quality in people who have RA, however no statistically significant relationship was found in this study. Future research should further explore the complex associations between sedentary behavior and sleep quality in people who have RA.References:[1]Carmona L, et al. Rheumatoid arthritis. Best Pract Res Clin Rheumatol 2010;24:733–745.[2]Anon. Letter to the editor: standardized use of the terms “sedentary” and “sedentary behaviours”. Appl Physiol Nutr Metab = Physiol Appl Nutr Metab 2012;37:540–542.[3]Fenton, S.A.M. et al. Sedentary behaviour is associated with increased long-term cardiovascular risk in patients with rheumatoid arthritis independently of moderate-to-vigorous physical activity. BMC Musculoskelet Disord 18, 131 (2017).[4]McKenna S, et al. Sleep and physical activity: a cross-sectional objective profile of people with rheumatoid arthritis. Rheumatol Int. 2018 May;38(5):845-853.[5]Grabovac, I., et al. 2018. Sleep quality in patients with rheumatoid arthritis and associations with pain, disability, disease duration, and activity. Journal of clinical medicine, 7(10)336.Table 1.Sleep quality in people who have RASleep variableBed Time N(%) before 10pm13(18%) 10pm-12pm43 (60%) after 12pm16 (22%)Hours Sleep mean(SD)6.56 (1.54)Fall Asleep minutes mean(SD)33.3(27.7)Night Waking N(%)45(63%)Self-Rate Sleep mean(SD)2.74 (0.90)Hours Sleep mean(SD)6.56 (1.54)Disclosure of Interests:None declared

scholarly journals The psychophysiological effects of the COVID-19 quarantine in the college students

2021 ◽  
Vol 25 (3) ◽  
pp. 158-163
Author(s):  
Yusuf Soylu
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Sleep Quality ◽  
Musculoskeletal Pain ◽  
Online Survey ◽  
Short Form ◽  
Negative Mood ◽  
Mood States ◽  
Poor Sleep ◽  
Lower Back

Background and Study Aim. A global pandemic affected by COVID-19 resulted in restrictions to daily routines, including recreation activities, social skills, and academic and health quality of college students. This study aimed to evaluate the psychophysiological effect of coronavirus quarantine on physical activity and its’ relationship between sleep quality, mood states and musculoskeletal pain in college students. Material and Methods. A total of 392 (male = 150; female = 242; age = 22.9±5.5) college students completed an online survey. The International Physical Activity Questionnaire-Short Form (IPAQ-SF), the Brunel Mood Scale, the Pittsburgh Sleep Quality Index (PSQI) and the Visual Analogue Scale for musculoskeletal pain (MSP) were used in this study. Results. Total physical activity significantly correlation with PSQI (p < 0.05, r = -.103), fatigue (p < 0.01, r = -.344), depression (p < 0.01, r = -.258), angry (p < 0.01, r = -.210), vigour (p < 0.01, r = -.344), neck and shoulder, upper and lower back (p < 0.01, r = -.225), neck and shoulder correlation (p < 0.01, r = -.230), upper and lower back (p < 0.01, r = -.209). Furthermore, a positive correlation was shown between PSQI and negative moods and a negative correlation with positive mood. Conclusions. During quarantine, decreased physical activity was associated with higher negative mood states and poor sleep quality and more MSP. The COVID-19 quarantine has considerably affected mental health-related crisis consists of desperation, self-consciousness and deficiency of physical capabilities in young adults, especially in college students.

scholarly journals Working Mode and Physical Activity as Factors Determining Stress and Sleep Quality during COVID-19 Pandemic Lockdown in Poland

Life ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 28
Author(s):  
Anna Lipert ◽  
Kamila Musiał ◽  
Paweł Rasmus
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sleep Disturbances ◽  
Online Survey ◽  
Short Form ◽  
High Stress ◽  
Poor Sleep ◽  
Physical And Mental Health ◽  
Everyday Functioning ◽  
High Stress Level

The coronavirus pandemic and related government restrictions have a significant impact on peoples’ everyday functioning and working, which influences their physical and mental health. The aim of the study was to examine the associations between stress and sleep quality of people of different working modes: working in the workplace (WP), working remotely (RW), and nonworking (NW) in relation to their physical activity (PA) during COVID-19 pandemic lockdown in Poland. It was an online survey performed during governmental lockdown in April 2020. The data were collected form 1959 adults using International Physical Activity Questionnaire—Short Form (IPAQ-SF), Pittsburgh Sleep Quality Index (PSQI), and Perceived Stress Scale (PSS). The conducted analysis included t-Student test, analysis of variance (ANOVA), and mediation analysis (MANOVA). A moderate level of stress was reported in 57% of participants, and 34% of them reported a high stress level. Poor sleep quality was reported in 64% of participants. Total PA performed daily was, on average, 184.8 ± 170.5 min/day for WP, 120.6 ± 124.4 min/day for RW, and 124.6 ± 114.7 min/day for NW (p < 0.001). There was a relationship observed between the stress and sleep quality vs. PA habit and working mode, with p < 0.05. Being physically active can be beneficial to perceive less stress and sleep disturbances influencing sleep quality, especially in remotely or nonworking people. Planning future pandemic restrictions, the policymakers should be aware of the appropriate guidelines of work planning and PA recommendations for people of different working modes.

scholarly journals PHYSICAL ACTIVITY AND SYMPTOMS OF ANXIETY AND DEPRESSION AMONG MEDICAL STUDENTS DURING A PANDEMIC

2021 ◽  
Vol 27 (6) ◽  
pp. 582-587
Author(s):  
Tassia Barcelos Mendes ◽  
Karla Cardoso de Souza ◽  
Carolina Nunes França ◽  
Fabrício Eduardo Rossi ◽  
Rafael Pereira Guimarães Santos ◽  
...  
Keyword(s):  
Physical Activity ◽  
Medical Students ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Cross Sectional Study ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Level Of Evidence ◽  
Cross Sectional

ABSTRACT Introduction: Decreased physical activity has been associated with poorer mental health and is a cause for concern during the COVID-19 pandemic. Objective: To compare groups of medical students (MS) who practiced different levels of moderate and vigorous physical activity (MVPA) during the COVID-19 pandemic, in relation to symptoms of anxiety and depression (BAI-BDI), sleep quality (PSQI), and physical activity (PA) - light, moderate, vigorous (LPA-MPA and VPA), and sedentary behavior (SB). Methods: This research is a cross-sectional study involving 218 MS. Data on the characteristics of the MS were collected through online forms: PA, SB, BAI, BDI, and PSQI. The Cohen's D (Effect Size - ES) and confidence interval (95% CI), Mann-Whitney test: Lower MVPA (Median=0 minute) and Higher MVPA (Median=390 minutes) were recorded. For the statistical analyses, we used: the Odds ratio (OR) for the presence of symptoms of high levels of anxiety and depression and poor sleep quality in the MS and MVPA. Results: We found a small ES for symptoms of depression (ES 0.26 95% CI 0.00 0.53 p=0.029), and significant differences (p<0.05) for symptoms of anxiety (ES 0.17 95% CI −0.09 0.44 p=0.037). There was also a significant tendency for sedentary behavior on weekdays (ES 0.27 95% CI 0.00 0.53 p = 0.051). The OR for MVPA and the presence of symptoms of high levels of anxiety was 0.407 (95% CI = 0.228 to 0.724). Conclusions: the MS who practiced higher MVPA presented less symptoms of anxiety and depression during the COVID-19 pandemic. Level of evidence III; Case-control study.

scholarly journals Is Less Sedentary Behavior, More Physical Activity, or Higher Fitness Associated with Sleep Quality? A Cross-Sectional Study in Singapore

2020 ◽  
Vol 17 (4) ◽  
pp. 1337
Author(s):  
Robert A. Sloan ◽  
Youngdeok Kim ◽  
Susumu S. Sawada ◽  
Akihiro Asakawa ◽  
Steven N. Blair ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Vigorous Physical Activity ◽  
Secondary Data ◽  
Poor Sleep ◽  
Inverse Association ◽  
Combined Model ◽  
Cross Sectional ◽  
Working Adults

Objectives: To examine the independent, joint, and fully combined associations of sedentary behavior (SB), moderate-to-vigorous physical activity (MVPA), and cardiorespiratory fitness (CRF) with the odds of poor sleep quality (SQ). Methods: We performed a secondary data analysis on 757 working adults (male = 345) in Singapore, with an average age of 35.2 years. The Pittsburgh Sleep Quality Index was used to assess SQ. Objectively measured MVPA and SB were each obtained using an accelerometer. A non-exercise prediction equation was used to estimate CRF. Logistic regression models were used to determine associations. Results: In total, 13.2% of the sample (n = 100) was identified as having poor SQ. After adjusting for study covariates, independent analyses revealed a clear inverse association for higher CRF and lower odds of poor SQ (OR = 0.50; 95% CI = 0.28–0.91). SB and MVPA demonstrated no independent associations. Joint associations revealed that odds of having poor SQ for those with low CRF was higher regardless of SB level and was further deteriorated by lower MVPA in the fully combined model. The fully combined model also demonstrated that those with lower SB, higher MVPA, and higher CRF had the lowest odds of having poor SQ (OR = 0.28; 95% CI = 0.10–0.78). Conclusions: Physical activity/exercise training programs that aim to improve CRF may be useful in lowering the odds or poor SQ in working adults.

Associations of lifestyle risk factors with overweight or obesity among adolescents: a multicountry analysis

2020 ◽  
Author(s):  
Sabera Sultana ◽  
Md Mizanur Rahman ◽  
Byron Sigel ◽  
Masahiro Hashizume
Keyword(s):  
Physical Activity ◽  
Sedentary Behavior ◽  
Tobacco Use ◽  
Physical Inactivity ◽  
Dietary Habits ◽  
Low Risk ◽  
Risk Scores ◽  
Lifestyle Behaviors ◽  
Lifestyle Risk ◽  
Overweight Or Obesity

ABSTRACT Background About 35% of the global burden of disease has roots in adolescence. Health in adolescence is an important determinant of health in adulthood. Objectives This study aimed to generate risk scores for lifestyle behaviors among adolescents and to estimate the country-specific prevalence of these risk scores. The study also examined the relations of lifestyle risk scores with overweight or obesity among adolescents. Methods We used the most recent data available from 20 nationally representative Global School-based Student Health Surveys. Our analytical sample size was 51,597. The outcome of interest was overweight or obesity. We developed 4 lifestyle risk scores (dietary habits, physical activity, sedentary behavior, and tobacco use), which were used as the exposure variables in this study. Multilevel logistic regression models were used to estimate adjusted ORs with 95% CIs. Results In total, 18.2% of the participants were overweight or obese. Across countries, the percentage of adolescents with unhealthy dietary habits ranged from 76.7% (the Cook Islands) to 94.2% (Timor-Leste), physical inactivity ranged from 47.5% (Bangladesh) to 90.1% (the Philippines), and sedentary behavior ranged from 34.5% (Nepal) to 88.2% (Kuwait). Girls engaged in less physical activity than did boys. Increased odds of overweight or obesity were found among participants with high risk scores for physical inactivity (OR: 1.19; 95% CI: 1.11, 1.27) and for unhealthy sedentary behavior (OR: 1.25; 95% CI: 1.16, 1.35) compared with participants with low risk scores. Girls with high tobacco risk scores had higher odds (OR: 1.30; 95% CI: 1.02, 1.65) of overweight or obesity than did girls with low risk scores for tobacco use, whereas there were no significant differences in risk in boys. Conclusions Unhealthy lifestyle behaviors were quite prevalent among adolescents, and higher lifestyle risk scores increased the risk of overweight or obesity.

scholarly journals Associations of Objectively-Assessed Smartphone Use with Physical Activity, Sedentary Behavior, Mood, and Sleep Quality in Young Adults: A Cross-Sectional Study

2020 ◽  
Vol 17 (10) ◽  
pp. 3499 ◽  
Author(s):  
Moisés Grimaldi-Puyana ◽  
José María Fernández-Batanero ◽  
Curtis Fennell ◽  
Borja Sañudo
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Mood State ◽  
Poor Sleep ◽  
Sleep Patterns ◽  
Smartphone Use ◽  
Low Levels ◽  
Objectively Measured

This study assesses the associations of objectively-measured smartphone time with physical activity, sedentary behavior, mood, and sleep patterns among young adults by collecting real-time data of the smartphone screen-state. The sample consisted of 306 college-aged students (mean age ± SD: 20.7 ± 1.4 years; 60% males). Over seven days of time, the following variables were measured in the participants: objectively-measured smartphone use (Your Hour and Screen Time applications), objective and subjective physical activity (GoogleFit and Apple Health applications, and the International Physical Activity Questionnaire (IPAQ), respectively), the number of hours sitting (IPAQ), mood (The Profile of Mood State (POMS)), and sleep (The Pittsburgh Sleep Quality Index (PSQI)). Multiple regressions analyses showed that the number of hours sitting per day, physical activity, and the POMS Global Score significantly predicted smartphone use (adj.R2 = 0.15). Further, participants with low levels of physical activity were more likely to increase the use of smartphones (OR = 2.981). Moreover, mood state (β = 0.185; 95% CI = 0.05, 0.32) and sleep quality (β = 0.076; 95% CI = −0.06, 0.21) predicted smartphone use, with those reporting poor quality of sleep (PSQI index >5) being more likely to use the smartphone (OR = 2.679). In conclusion, there is an association between objectively-measured smartphone use and physical activity, sedentary behavior, mood, and sleep patterns. Those participants with low levels of physical activity, high levels of sedentary behavior, poor mood state, and poor sleep quality were more likely to spend more time using their smartphones.

Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Severe Depression ◽  
Dental Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.

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.

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