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Background Physically active lifestyle prevents and contributes to managing non-communicable diseases. Childhood physical activities have shown to associate with physically active lifestyle in adulthood. More research on which childhood physical activity modes associate with physical activity in later life is still needed. Within the present study, we examined how physically active commuting to school in childhood contributed to overall physical activity in adulhood. Methods The participants (N = 3596) were from the population-based, longitudinal Cardiovascular Risks in Young Finns Study. Questionnaires were used in assessing subjects' childhood (1980) and adulthood (2001-2018) physical activity. ActiGraph accelerometers were also applied in the adulthood measurements (2018-2020). The results were analyzed using logistic and linear regression models. Participants' age, sex, parents' educational background, parents' income level, childhood living area, participants' educational background, adulthood income level, and adulthood living area were adjusted for in the models. Results Based on the preliminary examinations, childhood commuting was not associated with self-reported commuting to work (2001-2018) or accelerometer-measured overall physical activity (2018-2020) in adulthood (p>.05). Active commuting in childhood associated with increased self-reported leisure-time physical activity in the year 2001 (b=.38, p>.001), 2007 (b=.35, p>.001), and 2018 (b=.28, p=.012), but the association between childhood commuting and self-reported physical activity in the years 2001 and 2018 attenuated after adjusting for all covariates (p>.05). Conclusions Physically active commuting in childhood (1980) was associated with higher levels of self-reported leisure-time physical activity in adulthood (2001-2018). The associations attenuated after adjusting for covariates excluding the one between active commuting and leisure-time physical activity assessed in 2007. Physically active commuting can be regarded as recommendable with respect to the development of physically active lifestyle, if supportive evidence for the causality between childhood commuting and leisure-time physical activity in adult age can be found. Future research should also focus on assessing whether active commuting in childhood contributes to adulthood activities parallel to active commuting in childhood. nonPeerReviewed

This study investigated the associations of accelerometer-measured physical activity, sedentary time and screen time with the incidence of neck and shoulder pain in school-aged children over a two-year follow-up. Children (aged 10–15) were measured at baseline 2013 (T0) (n = 970) and at follow-ups 2014 (T1) and 2015 (T2). Neck and shoulder pain frequency and screen time were determined with a web-based questionnaire. Daytime moderate to vigorous physical activity and sedentary time were measured with an accelerometer. Logistic regression was applied, and the results were adjusted for age, gender, body mass index and bedtime. Accelerometer-measured physical activity or sedentary time at baseline were not associated with the incidence of neck and shoulder pain at the two-year follow-up. Associations of neck and shoulder pain incidence with overall screen time (p = 0.020), and especially with passive gaming time (p = 0.036) and social media time (p = 0.023) were found at the first but not the second follow-up. The neck and shoulder pain incidence associated with overall screen time, passive gaming time and social media time at the first follow-up. The importance of limiting screen time, should be explored in order to find new approaches in preventing neck and shoulder pain in school-aged children. peerReviewed

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This study identified movement profiles in childhood and tracked longitudinal changes in moderate‐to‐vigorous physical activity and sedentary time across identified profiles. A sample consisted of 491 Finnish 5th Grade children (girls 275, boys 216; Mage = 11.27 ± .32). A latent profile analysis strategy was used to identify homogenous movement profiles that included measures of motor competence, perceived competence, and cardiorespiratory and muscular fitness. To examine a one‐year changes in moderate‐to‐vigorous physical activity and sedentary time among movement profiles, a mixed between‐within subjects analysis of variance with Tukey's post hoc ‐tests was conducted. Results revealed three movement profiles; “At‐Risk Movement Profile” “Intermediate Movement Profile" and “Desirable Movement Profile”. Results demonstrated that moderate‐to‐vigorous physical activity among the Intermediate Movement Profile declined across one year (p < .01), whereas there was no change in sedentary time. To conclude, results of the study indicated remarkable differences in movement skill and physical fitness variables, and moderate‐to‐vigorous physical activity engagement between the at‐Risk Movement Profile and other two profiles. Special attention should be given to the lowest profile of children to promote their movement capabilities and physical activity engagement. It is noteworthy that At‐Risk Movement Profile included children more than one third of the sample. peerReviewed

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Problem statement: Insufficient PA is rising concern in modern society. Physical education as a compulsory subject allows all students to engage physical activity. However, the activity levels may vary during the physical education lesson depending on the motivation of students. Purpose: The purpose of this study was to determine the amount of time spent in light physical activity, moderate to vigorous physical activity and sedentary activity by a sample of Finnish fifth grade students during physical education lessons. Approach: A cohort of 407 Finnish students' (177 boys, 232 girls) participated to study. To determine activity, participants wore GTX3 Actigraphs for seven consecutive days. Participants' activity scores were grouped in quartiles based on their weekly average moderate to vigorous physical activity. Different activity group and gender comparisons were undertaken using MANOVA. Results: Contrasts regarding activity quartiles revealed that in the least active group quartile (Q1) boys had more sedentary time and less MVPA time than in the more active group quartiles (Q3&Q4). Among girls, Q1 girls had less moderate to vigorous physical activity than girls grouped in Q3-Q4, and had more sedentary time than all other quartile groups. Conclusions: Results demonstrated that during PE lessons differences in activity between children with different moderate to vigorous physical activity levels exist. Physical education teachers should consider developing lesson strategies to address the differences identified in ST and MVPA. Programs that foster consistency in student engagement at the moderate to vigorous physical activity level may also support a decrease in levels of sedentary time across the physical education lesson. peerReviewed

This study examined the association of education level with objectively measured physical activity and sedentary time in young adults. Data from the Finnish ESTER study (20092011) (n = 538) was used to examine the association between educational attainment and different subcomponents of physical activity and sedentary time measured using hip-worn accelerometers (ActiGraph GT1M) for seven consecutive days. Overall physical activity, moderate-to-vigorous physical activity (MVPA), light-intensity physical activity and sedentary time were calculated separately for weekdays and weekend days. A latent profile analysis was conducted to identify the different profiles of sedentary time and the subcomponents of physical activity. The educational differences in accelerometer-measured physical activity and sedentary time varied according to the subcomponents of physical activity, and between weekdays and weekend days. A high education level was associated with high MVPA during weekdays and weekend days in both sexes, high sedentary time during weekdays in both sexes, and a low amount of light-intensity physical activity during weekdays in males and during weekdays and weekend days in females. The results indicate different challenges related to unhealthy behaviours in young adults with low and high education: low education is associated with a lack of MVPA, whereas high education is associated with a lack of light-intensity physical activity and high sedentary time especially during weekdays.