This study assessed the effects of COVID-19 home confinement on physical activity, sedentary behavior, smartphone use, and sleep patterns. Data was collected in a sample of 20 young adults (mean age ± SD: 22.6 ± 3.4 years; 55% males) over seven days pre- and during the COVID-19 lockdown. Objective and subjective physical activity (Accelerometer and the International Physical Activity Questionnaire (IPAQ), respectively), the number of hours sitting (IPAQ), objectively-measured smartphone use (smartphone screen time applications), and objective and subjective sleep (accelerometer and the Pittsburgh Sleep Quality Index, respectively) were assessed. Results revealed significantly greater walking time and mean steps (p < 0.001, d = 1.223 to 1.605), and moderate and vigorous physical activity (p < 0.05, d = 0.568 to 0.616), in the pre- compared with the during-COVID-19 lockdown phase. Additionally, smartphone use (p = 0.009, d = 0.654), sitting time (p = 0.002, d = 1.120), and total sleep (p < 0.004, d = 0.666) were significantly greater in the during- compared with the pre-COVID-19 lockdown phase. Multiple regressions analyses showed associations between physical activity and sedentary behavior and sleep quality. The number of hours sitting per day and moderate-to-vigorous physical activity significantly predicted deep sleep (adj.R² = 0.46). In conclusion, this study revealed that during the COVID-19 outbreak, behaviors changed, with participants spending less time engaging in physical activity, sitting more, spending more time using the smartphone, and sleeping more hours. These findings may be of importance to make recommendations, including lifestyle modifications during this time.

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.

The purpose of this study was to assess the effect of COVID-19 lockdown on mood and objective physical activity. A sample of 78 college students in Spain completed an assessment of mood using the valid Profile of Mood State (POMS) questionnaire and had their physical activity tracked objectively using a validated wrist-worn accelerometer (Xiaomi Mi Band 2) for one week before being under COVID-19 lockdown (T1) and for one week during COVID-19 lockdown (T2). Paired samples t-tests revealed significantly greater (p = 0.027) POMS Total Mood Disturbance (TMD) Score T2 (mean ± SD) (22.6 ± 28.0) compared to T1 (17.7 ± 22.6) (lower score represents better mood) and significantly lower (p ≤ 0.001) POMS Vigor Score T2 (14.1 ± 5.0) compared to T1 (18.2 ± 4.5) (lower vigor score represents lower mental and physical energy levels). Additionally, Total Objective Steps was significantly less (p ≤ 0.001) lT2 (15,841.9 ± 17,253.2 steps) compared to T1 (64,607.0 ± 50,525.2 steps). Regression analyses demonstrated significant negative relationships of Total Objective Steps and POMS Depression (p = 0.014, Beta = −0.277, t = −2.511), POMS Anger (p = 0.040, Beta = −0.233, t = −2.091), and POMS TMD (p = 0.007, Beta = −0.302, t = −2.754) T2. The regressions also revealed a significant positive relationship (p = 0.012, Beta = 0.283, t = 2.57) of Total Objective Steps and POMS Vigor T2. These data suggest that being in a lockdown due to a pandemic may have negative physical and mental health-related consequences and that engaging in physical activity may reduce these deleterious mental health-related consequences during lockdowns and quarantines.

Purpose: To investigate the relationship between smartphone use, television viewing, and the “active couch potato” in sufficiently active adults. Methods: A sample of 328 sufficiently active adults aged 18 to 80 years (mean ± SD = 38 ± 15 years) completed surveys assessing smartphone use, television viewing, physical activity, and sedentary behavior. Active couch potatoes were defined as individuals who met physical activity guidelines and engaged in 8 or more hours per day of sedentary behavior. Results: Mean smartphone use was 4.04 ± 3.74 hours per day. There were 128/328 (39%) participants coded as active couch potatoes. Active couch potato was significantly positively (Wald = 7.326, P = .007) associated with smartphone use. Being an active couch potato was not (Wald = 0.658, P = .417) associated with television viewing. Sedentary behavior and smartphone use were significantly greater (t ≥ 3.55, P < .001) among active couch potatoes (11.35 ± 3.25 hours sitting per day, 4.95 ± 4.5 hours smartphone use per day) than sufficiently active, nonsedentary individuals (5.06 ± 1.64 hours sitting per day, 3.45 ± 3.04 hours smartphone use per day). Conclusion: In sufficiently active adults, smartphone use predicted being an active couch potato and television viewing did not.

The purpose of this investigation was to assess effectiveness of a 16-week worksite exercise intervention on subjective and objective measures of physical activity, sedentary behavior, and changes in fitness-related variables in employees at a major university. Employees enrolled in either a 16-week, 3d/week exercise Intervention (N= 47, n = 38 females), or a Control group (N = 15, n = 11 females). Groups wore a validated physical activity monitor which provided visual feedback regarding physical activity behavior. Participants completed surveys assessing subjective physical activity and sedentary behavior, and completed fitness testing at weeks 1, 8, and 16. Data were analyzed by group across the three time points using an ANOVA while Pearson’s Correlations assessed change scores pre to post. Both groups met recommended physical activity guidelines, significantly increased cardiorespiratory fitness (p = 0.01) and abdominal curl-up repetitions (p p = 0.003) in sedentary behavior and a significant increase in push-up repetitions (p ≤ 0.02 for all time points). Changes in sedentary behavior were negatively associated with changes in cardiorespiratory fitness (r = - 0.3, p = 0.04). In conclusion, the worksite exercise program and regular fitness testing improved health behavior for all participants, but greater improvements were achieved in the exercise program group