ECSS Paris 2023: CP-SH06
Background: Previous studies suggest that smartphone use does not inherently reduce physical activity or increase sedentary behavior among young adults. The impact on health behaviors varies by app type. This study examines the association of physical activity, sedentary behavior and use of different smartphone apps among young adults. Methods: This study followed 345 university students aged 18-22 for 7 days. Physical activity (PA), and sedentary behavior (SB) were objectively measured using the ActiGraph GT3X-BT accelerometer. Smartphone app usage was tracked via objective daily survey logs. After the 7-day tracking period, semi-structured interviews were conducted to gather detailed information on app usage and physical activity. Data analysis was performed using SPSS 26.0 and R software. Results: In 248 participants (139 males, 109 females), Males had higher daily energy expenditure and more SB time compared to females, who spent more time in light-intensity physical activity (LPA) but less in vigorous-intensity physical activity (VPA). Males showed a positive correlation between entertainment app usage and SB time (r = 0.271, p = 0.017) and a negative correlation with sedentary interval (SI) (r = -0.266, p = 0.019). In females, social app usage correlated with increased LPA (r = 0.321, p < 0.001) and VPA was positively correlated with screen time (ST) (r = 0.195, p = 0.042). App usage also influenced SB patterns, particularly in active individuals. After controlling for confounding factors, gaming app usage in males who inactive decreased LPA (0.341 min, p = 0.036). In females, social app usage increased LPA (0.112 min, p = 0.018) but decreased VPA (0.012 min, p = 0.011) in those who inactive. ST was linked to an increase in SB time and to a decrease in SI time in both genders. Conclusions: Complex associations between the different smartphone apps, sedentary behavior and physical activity in young adults, the type of app used is likewise crucial as screen time.
Read CV Fan XiangECSS Paris 2023: CP-SH06
Introduction After the outbreak of COVID-19, working from home (WFH) has become a prevalent working pattern in the UK, introducing both challenges and opportunities for employees’ daily movements and work outcomes. This cross-sectional study aimed to investigate the relationship between 24-hour behaviours, including sleep, sedentary behaviour, and physical activity, and work productivity among University of Edinburgh staff working from home. Methods Forty-seven participants (72.3% female, 85.1% white) who worked remotely at least one day per week completed a self-reported questionnaire. The online questionnaire collected demographic information, and data from the Past-day Adults’ Sedentary Time Questionnaire, the International Physical Activity Questionnaire, and the Health and Work Questionnaire. Descriptive statistics, independent t-tests, and Pearson correlation analyses were performed to explore associations between 24-hour behaviours and productivity outcomes. Results The majority of participants (74.5%) reported sleeping more than 7 hours during WFH days; however, 95% experienced poor sleep quality. Sedentary behaviour levels were high, with 93.6% of participants spending over 8 hours sedentary, whilst most staff (89.4%) met physical activity guidelines of 150 minutes of moderate-to-vigorous physical activity (MVPA) per week. However, no statistically significant correlations were observed between 24-hour behaviours and productivity (p > 0.05). Conclusion While no significant associations were identified, these findings highlight high levels of sedentary behaviour and poor sleep quality among WFH employees. As hybrid working patterns become increasingly common, further research is needed to explore the nuanced impacts of 24-hour behaviours on productivity and to develop targeted interventions promoting active lifestyles during remote work.
Read CV Chang ZouECSS Paris 2023: CP-SH06
Introduction Adults’ daily time spent in sedentary behaviour (SB), sleep, light-intensity physical activity (LPA), and moderate-to-vigorous physical activity (MVPA) is collectively termed 24-hour movement behaviours in a compositional nature. Differences in individuals’ daily behaviours across their sociodemographic factors are linked to health inequalities. Therefore, understanding these differences using a compositional data analysis approach is critical for addressing health disparities. Methods This cross-sectional study analysed data from 2,718 Japanese adults aged 20–59, collected via an online survey conducted in 2023. Participants’ time spent in 24-hour movement behaviours (SB, Sleep, LPA, and MVPA) was expressed as geometric means. Compositional multivariate analysis of covariance (MANCOVA) was used to compare behaviour components across sociodemographic factors (sex, age group, education levels, marital status, living arrangement, annual income, occupational type, and residential area). Back-transformed isometric log-ratio differences with bootstrap 95% confidence intervals were calculated to identify significant differences in movement behaviours between factors’ levels. [1] Results Participants spent an average of 29.5%, 33.6%, 0.6%, and 36.3% of their day in SB, sleep, MVPA, and LPA, respectively. Significant variations were observed across sex, marital status, living arrangement, and occupation types. Compared with average means, females spent 27.5% less time in MVPA, while unmarried individuals and those living alone exhibited higher SB (+8.9% and +8.9%) and lower LPA (-8.4% and -8.3%). Desk-based workers reported 20.5% more SB, whereas physically demanding jobs were associated with higher MVPA and LPA but reduced sleep time. Although non-significant, trends suggested that individuals with higher education and income levels and those in urban areas were more active. Conclusion This study first explored the correlates of diverse sociodemographic factors on Japanese adults time use in 24-hour movement behaviours, highlighting the role of sociodemographic factors in shaping time-use behaviours. The present findings underscore the need for targeted public health strategies, such as promoting physical activity in female, socially isolated individuals and reducing SB in desk-based workers, to address health disparities effectively among the Japanese population. Reference 1. Gupta, N., Mathiassen, S. E., Mateu-Figueras, G., Heiden, M., Hallman, D. M., Jørgensen, M. B., & Holtermann, A. (2018). A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity. The international journal of behavioral nutrition and physical activity, 15(1), 53. https://doi.org/10.1186/s12966-018-0685-1
Read CV Yu Tai LiuECSS Paris 2023: CP-SH06