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To explore the relationships between 24-hour movement behaviors and Fundamental Motor Skills (FMS) using compositional data analyses among children, and the "dose-effect" characteristics of the reallocation between them. A cross-sectional study was conducted on 327 primary school students aged 6-10 years old in Jinhua. Accelerometer and Test of Gross Motor Development-3 (TGMD-3) were used to measure time spent in 24-hour movement behaviors and FMS, respectively. Compositional data analyses were used to analyze the relationship of FMS with the reallocation of time spent 24-hour activity. Results show that: (1) After controlling the sex, age and BMI, time spent on moderate-to-vigorous physical activity (MVPA) (β= 4.155, P <0.01) was positively associated with FMS, while the time spent on sedentary behavior (SED) (β=-6.926, P<0.01) was negatively associated with FMS in children. Sleep duration (P>0.05) and light-intensity physical activity (LPA) (P > 0.05) were not significantly associated with FMS. (2) The reallocation of time from other behaviors (LPA, SED, sleep) to MVPA can significantly improve FMS. On the contrary, the reallocation from MVPA to other behaviors (LPA, SED, sleep) can significantly reduce FMS. The associations between the reallocation between MVPA and other activities were asymmetrical. The reallocation from SED to sleep improve FMS significantly. The reallocation from SED to MVPA had the best promoting effect on FMS. (3) The proportion of sleep duration and the reallocation between sleep duration and MVPA were positively correlated with object control skills, but not with locomotion skills. At the same time, the influence of MVPA and other behaviors on object control skills is higher than that of locomotion skill. Conclusion will be that: Schools and parents should pay attention to the effect of children's 24-hour activities. Reallocating SED to MVPA or sleep, and reallocating LPA to MVPA will improve the FMS. More attention should be paid to the intervention of 24-hour activities on children's object control skills. [ABSTRACT FROM AUTHOR]

Objective: To explore associations of distribution of time spent in physical activity (PA) and sedentary behavior (SB) with obesity with taking account that time is finite during the day of adult residents in Wuhai City., Methods: A cross-sectional study was undertaken in Wuhai City, and we carried out a sampling of local residents aged 18-79 by using multiple stratified cluster sampling method. Data about social demographic characteristics, time spent in PA and SB, diet intake, controlling situation of chronic disease and other covariates were obtained by qualified investigators for face-to-face questionnaire survey. Data about height, weight, and waist circumstance, were obtained by doctors in a secondary hospital or above for body measurements. The statistical method used in our study was known as compositional data analysis, which had been used to process compositional data in many fields. Liner regression analysis with compositional data was used to synthetically analyze the associations of distribution of time spent in PA and SB with obesity,and to investigate the effect of re-allocating time from one behavior to another one whilst the remaining one was kept stable., Results: The investigation revealed the special advantage of compositional data analysis in processing time-use data. The result of liner regression analysis with the compositional data showed that after controlling the potential confounding factors, the associations of distribution of time spent in PA and SB was significantly associated with body mass index (BMI, P <0.001) and the negative natural logarithm of waist to height ratio (-lnWHtR, P <0.001). Among them, in professional population, the proportion of time spent in moderate-to-vigorous physical activity (MVPA) was negatively correlated with -lnWHtR ( β =-0.008, P =0.022), while the proportion of time spent in SB was positively correlated with BMI and -lnWHtR ( β =0.117, P =0.003; β =0.007, P =0.005). However, in nonprofessional population, the proportion of time spent in MVPA was only negatively correlated with BMI ( β =-0.079, P =0.041). Nevertheless, the proportion of time spent in low-intensity physical activity (LIPA) was not significantly associated with BMI and -lnWHtR in both professional and nonprofessional population. In addition, the effects of MVPA replacing another behavior and of MVPA being displaced by another behavior were not symmetrical, and 10 minutes of MVPA replacing LIPA or SB had a greater influence on intervention and prevention of obesity than 10 minutes MVPA being replaced by LIPA or SB., Conclusion: The research has resulted in a solution of the associations of the distribution of time spent in PA, SB with health risk. Our results suggest that public health messages should target the health effects of the distribution of time of PA and SB synergistically in developing PA guidelines and health management practice, rather than simply increasing or decreasing the absolute time of PA or SB, so that we can provide scientific suggestions to make people get a profounder healthy effect.