The effects of physical activity tele-counseling intervention on physical activity, functional performance, and quality of life in post-COVID-19 conditions: a randomized controlled trial.

BACKGROUND: This study aims to investigate the effectiveness of tele-counseling to promote physical activity in COVID-19 survivors at the persistent phase. METHODS: Twenty-eight participants who suffered from COVID-19 were randomly assigned into intervention and control groups. Physical activity counseling was applied according to the transtheoretical model to the intervention group during 20 sessions. Second assessments were performed 6 weeks after the intervention. The physical activity, functional performance (4-Meter Gait Speed; 4-MGS) and 5-repetition Sit-To-Stand; STS test), exercise behavioral and processes of change, quality of life, fatigue, mental health, severity of symptoms, and dyspnea were evaluated in groups. RESULTS: The baseline demographic and clinical outcomes were similar (p > 0.05) except for physical role limitations and general health perceptions in groups. Five-repetition STS, 4-MGS, activity dyspnea, step counts, sitting time, Exercise Processes of Change Scale (EPCS) total and behavioral processes except for self-liberation scores significantly improved in the counseling group. Five-repetition STS, 4-MGS improved while dramatic relief, self reevaluation, self-liberation and EPCS total scores deteriorated in the control group. CONCLUSIONS: The tele-counseling intervention contributes to improving physical activity, functional performance, behavioral change, quality of life, and decreasing common problems related to COVID-19. The results of the tele-counseling intervention are promising in post-COVID-19 conditions. TRIAL REGISTRATION (CLINICALTRIALS.GOV): Registration ID: NCT04853966.

Causal effect of physical activity and sedentary behavior on the risk of alcohol dependence: A bidirectional Two-sample Mendelian randomization study.

BACKGROUND: Alcohol dependence, influenced by physical activity (PA) and sedentary behavior, lacks clear causal clarity. This study aims to clarify causal relationships by estimating these effects using bidirectional two-sample Mendelian randomization (MR). METHODS: A bidirectional multivariable two-sample MR framework was employed to assess the causal effects of PA and sedentary behavior on alcohol dependence. Summarized genetic association data were analyzed for four PA-related activity patterns-moderate to vigorous physical activity (MVPA), vigorous physical activity (VPA), accelerometer-based physical activity with average acceleration (AccAve), and accelerometer-based physical activity with accelerations greater than 425 milli-gravities (Acc425)-and three sedentary behavior patterns-sedentary, TV watching, and computer use. The study was expanded to include the examination of the relationship between sedentary behavior or PA and general drinking behavior, quantified as drinks per week (DPW). We obtained summarized data on genetic associations with four PA related activity patterns (MVPA, VPA, AccAve and Acc425) and three sedentary behavior related behavior patterns (sedentary, TV watching and computer use). RESULTS: MR analysis found AccAve inversely associated with alcohol dependence risk (OR: 0.87; 95% CI: 0.80-0.95; p < 0.001), MVPA positively associated (OR: 2.86; 95%CI: 1.45-5.66; p = 0.002). For sedentary behavior and alcohol dependence, only TV watching was positively associated with the risk of alcohol dependence (OR: 1.43; 95%CI: 1.09-1.88; p = 0.009). No causal links found for other physical or sedentary activities. Reverse analysis and sensitivity tests showed consistent findings without pleiotropy or heterogeneity. Multivariate MR analyses indicated that while MVPA, AccAve and TV watching are independently associated with alcohol dependence, DPW did not show a significant causal relationship. CONCLUSIONS: Our results suggest that AccAve is considered a protective factor against alcohol dependence, while MVPA and TV watching are considered risk factors for alcohol dependence. Conversely, alcohol dependence serves as a protective factor against TV watching. Only TV watching and alcohol dependence might mutually have a significant causal effect on each other.

Passive sensing of smartphone use, physical activity and sedentary behavior among adolescents and young adults during the COVID-19 pandemic.

The research that links excessive screen time to adverse health outcomes is based on self-reported screen use. Few studies have documented how passively-sensed smartphone and app use relate to health behaviors like activity and sitting. Furthermore, they have not considered that daily fluctuations in smartphone/app use may have different relationships to these behaviors than a person's usual smartphone/app use. This study evaluated whether physical activity or sedentary (sitting) behavior are associated with either smartphone screen time or specific smartphone app use by adolescents and young adults during the COVID-19 pandemic. Adolescents and young adults aged 13-29 years wore activPAL4 micro activity monitors while their smartphones logged daily screen time and app use durations for nine days. Data were collected in 2020-2021 and analyzed in 2022-2023. Participants (N = 125) had a mean (SD) age of 19.7 (4.3) years. Participants' usual smartphone screen time was negatively associated with daily step counts. Daily deviations in smartphone screen time were negatively associated with daily step counts and moderate-vigorous physical activity durations. Time spent on Instagram, YouTube and, to a lesser extent, TikTok were linked with reduced activity levels. Daily sedentary behavior was not associated with usual or daily screen time. Interventions to promote physical activity during the transition into adulthood may benefit from limiting excessive smartphone screen time. Specific intervention targets could include limiting use of apps with infinite scrolling feeds algorithmically tuned to maintain user engagement, such as Instagram, YouTube and TikTok.

The Different Body Mass Index Does Not Impact Physical Health in Older Adults without Sedentary Behavior: A Cross-Sectional Study.

AIMS AND OBJECTIVE: This study aimed to compare and determine the correlation of BMI on physical health, including muscle strength, balance, and cardiorespiratory fitness in older adults without sedentary behavior. METHODS: A total of 65 older adults without sedentary behavior were recruited and divided into 3 groups on the basis of body mass index (BMI): normal weight (n= 22/group), overweight (n= 22/- group), and obese (n= 21/group). All the older adults were evaluated for upper limb muscle strength using the handgrip strength test, lower limb muscle strength using the sit-to-stand (STS10) test, balance ability using the time up and go (TUG) test, and cardiorespiratory fitness using the 6-minute walk test (6MWT). RESULTS: The handgrip strength test, STS10 test, and distance of 6MWT showed no difference among the groups (p> 0.05). However, overweight group had a significantly longer duration for the TUG test when compared to normal weight, while obese group had a significantly longer duration for the TUG test when compared with overweight and normal weight groups (p< 0.01). In addition, BMI was positively correlated with the duration of the TUG test. Whereas, the handgrip strength test, STS10 test, and distance of 6MWT were not correlated with BMI. CONCLUSION: The BMI does not impact upper and lower limb muscle strength or the cardiorespiratory fitness test, except for the ability to balance in older adults without sedentary behavior.

Evaluation of physical activity before and after respiratory rehabilitation in normal weight individuals with asthma: a feasibility study.

Background: Individuals with asthma spend less time engaging in physical activity compared to the general population. Increasing physical activity has become a patient-centered goal for the treatment of treatable traits of individuals with asthma. There are data showing the possible effects of a pulmonary rehabilitation program on physical activity in obese individuals with asthma but not in normal-weight asthmatics. The objective of this feasibility study is to estimate the number of daily steps and time spent on activity in normal-weight individuals with asthma, measured before and after a pulmonary rehabilitation program. Methods: Normal-weight individuals with moderate to severe asthma were evaluated. The individuals measured their daily steps with an accelerometer for 5 days before and after a pulmonary rehabilitation program. The study was registered on ClinicalTrials.gov: NCT05486689. Results: In total, 17 participants were enrolled; one dropout and data on the time in activity of two individuals are missing due to a software error during the download. Data from 16 patients were analyzed. The median number of steps/day at baseline was 5,578 (25th, 75th percentiles = 4,874, 9,685) while the median activity time was 214 min (25th, 75th percentiles = 165, 239). After the rehabilitation program, the number of daily steps increased by a median value of 472 (p-value = 0.561) and the time in activity reduced by 17 min (p-value = 0.357). We also found a significant difference in quality of life, muscle strength, and exercise capacity. Conclusions: The results of this study make it possible to calculate the sample size of future studies whose main outcome is daily steps in normal-weight individuals with asthma. The difficulties encountered in downloading time in activity data do not allow the same for this outcome. Clinical Trial Registration: ClinicalTrials.gov, identifier NCT05486689.

Effective management of sedentary behavior among Indian university students: An empirical exploration into health-related behavior.

BACKGROUND: The past few years have witnessed a notable rise in sedentary tendencies, unveiling a modern era of prolonged stillness and diminished physical engagement. This study sought to assess the feasibility of a digital health intervention (DHI) to reduce overall sedentary behavior among university students. The study also identifies distinct subgroups within Indian universities that exhibit a heightened propensity for engaging in unhealthy behaviors. MATERIALS AND METHODS: The research design used was a quasi-experimental (pre-post) design. A total of 500 participants were selected using a simple randomized sampling method (250 belonging to the control group and 250 belonging to the experimental group). These participants actively engaged in the study for 2 weeks. The participants completed the Sedentary Behavior Questionnaire (SBQ) before the intervention to evaluate their level of sedentary behavior. To evaluate the impact of the intervention on subjectively measured sedentary behavior, statistical analyses were conducted using the paired-samples t-test and analysis of covariance (ANCOVA) with the post hoc Bonferroni test. RESULTS: The findings demonstrated a significant t-value of sedentary behavior for the entire group, with t(249) = 4.88, P < .05. Furthermore, the F-value of 28.787 indicated a statistically significant difference in the sedentary behavior between the experimental and control groups. When considering female university students specifically, the t-value for sedentary behavior was significant at t(105) = 3.22, P < .05, and for male university students, the t-value for sedentary behavior was found to be significant at t(143) = 3.69, P < .05. CONCLUSION: Smartphone-based health interventions targeting sedentary behavior reduction demonstrated promising outcomes in facilitating health behavior change among university students.

Effects of public transportation use on non-exercise activity thermogenesis and health promotion: a mini-review.

PURPOSE: Public transportation (PT) systems significantly shape urban mobility and have garnered attention owing to their potential impact on public health, particularly the promotion of physical activity. Beyond their transportation functions, PT systems also affect daily energy expenditure through non-exercise activity thermogenesis (NEAT). This mini-review surveys the existing literature to explore the effects of PT use on NEAT levels and subsequent health outcomes. METHODS: A comprehensive literature search was conducted using the electronic databases PubMed, Google Scholar, and Web of Science. Keywords including "public transportation," "non-exercise activity thermogenesis," "physical activity," "health promotion," and related terms were used to identify relevant studies. RESULTS: This review highlights the multifaceted relationship between PT use and health promotion, emphasizing the potential benefits and challenges of increasing NEAT through public transit utilization. Overall, the findings suggest that PT use contributes positively to NEAT levels, and thus improves health outcomes. However, the extent of this impact may vary depending on individual and contextual factors. CONCLUSION: Interventions promoting active transportation modes, including public transit, hold promise for addressing sedentary behavior and fostering healthier lifestyles at the population level.

Physical activity trajectories and all-cause mortality in type 1 diabetes: A nationwide longitudinal study.

AIMS: To identify physical activity trajectories, explore the factors associated with them and assess their relationship with all-cause mortality. METHODS: This was a population-based longitudinal cohort study, with data from all specialist care units for type 1 diabetes in Sweden. A total of 48.921 adult patients were included, each with at least 3 registrations of physical activity, and a maximum follow-up of 14 years. The main outcomes were the longitudinal physical activity trajectories and all-cause mortality. RESULTS: Of 48.921 patients, 55.9% were males and mean (SD) age was 39.7(16.7). Four physical activity trajectories were identified: Steady Low (10.8%), Decreaser (12.7%), Increaser (20.7%) and Steady High (55.8%). Female sex, higher education, higher income, normal BMI, fewer comorbidities and foot free from diabetic disease were significantly associated with sustained high physical activity. Compared to the steady low group, the decreaser, increaser, and steady high physical activity groups exhibited lower adjusted risk of all-cause mortality (53-73% reduction). CONCLUSIONS: Consistently low physical activity is associated with higher all-cause mortality. This study underscores the importance of identifying patients at risk of low physical activity and tailoring personalized approaches to promote sustained physical activity in type 1 diabetes, ultimately improving outcomes.

Classification of Free-Living Body Posture with ECG Patch Accelerometers: Application to the Multicenter AIDS Cohort Study.

Purpose: As health studies increasingly monitor free-living heart performance via ECG patches with accelerometers, researchers will seek to investigate cardio-electrical responses to physical activity and sedentary behavior, increasing demand for fast, scalable methods to process accelerometer data. We extend a posture classification algorithm for accelerometers in ECG patches when researchers do not have ground-truth labels or other reference measurements (i.e., upright measurement). Methods: Men living with and without HIV in the Multicenter AIDS Cohort study wore the Zio XT® for up to two weeks (n = 1,250). Our novel extensions for posture classification include (1) estimation of an upright posture for each individual without a reference upright measurement; (2) correction of the upright estimate for device removal and re-positioning using novel spherical change-point detection; and (3) classification of upright and recumbent periods using a clustering and voting process rather than a simple inclination threshold used in other algorithms. As no posture labels exist in the free-living environment, we perform numerous sensitivity analyses and evaluate the algorithm against labelled data from the Towson Accelerometer Study, where participants wore accelerometers at the waist. Results: On average, 87.1% of participants were recumbent at 4am and 15.5% were recumbent at 1pm. Participants were recumbent 54 minutes longer on weekends compared to weekdays. Performance was good in comparison to labelled data in a separate, controlled setting (accuracy = 96.0%, sensitivity = 97.5%, specificity = 95.9%). Conclusions: Posture may be classified in the free-living environment from accelerometers in ECG patches even without measuring a standard upright position. Furthermore, algorithms that fail to account for individuals who rotate and re-attach the accelerometer may fail in the free-living environment.

Physical activity, sedentary behavior, and the risk of functional gastrointestinal disorders: A two-sample Mendelian randomization study.

OBJECTIVES: Functional dyspepsia (FD) and irritable bowel syndrome (IBS) are prevalent functional gastrointestinal disorders (FGIDs). In this study we aimed to explore the causal association between physical activity or sedentary behavior and the risk of FD and IBS. METHODS: Mendelian randomization (MR) analysis was employed. Candidate genetic instruments for physical activity and sedentary behavior were retrieved from the latest published Genome-Wide Association Study (GWAS), which included up to 703,901 participants. Summary-level GWAS data for FD (8 875 cases and 320 387 controls) and IBS (9 323 cases and 301 931 controls) were obtained from the FinnGen study. The causal effects were mainly estimated by inverse variance weighted (IVW) method. Sensitivity analyses were implemented with Cochran's Q test, MR-Egger intercept test, leave-one-out analysis, and the funnel plot. RESULTS: No significant association of moderate-to-vigorous intensity physical activity (MVPA), leisure screen time (LST), sedentary behavior at work (SDW), and sedentary commuting (SDC) with the risk of FD was found. However, there was a suggestive correlation between MVPA and the decreased risk of FD (odds ratio [OR] 0.63, 95% confidence interval [CI] 0.39-0.99, P = 0.047). Genetically predicted MVPA decreased the risk of IBS (OR 0.58, 95% CI 0.40-0.84, P = 0.004), while increased LST was positively associated with IBS risk (OR 1.33, 95% CI 1.15-1.53, P < 0.001). No causal effects of SDW or SDC on IBS risk were observed. CONCLUSION: MVPA and LST are causally linked to the development of IBS, which will facilitate primary prevention of IBS.

What kind of non-pharmacological strategy for reducing sedentary behavior in COPD? Data from a scoping review.

INTRODUCTION: Chronic Obstructive Pulmonary Disease (COPD) is usually associated with sedentary behavior (SB). Literature reports a harmful impact of SB on the physical, mental, and social health of individuals with COPD. However, Pulmonary Rehabilitation (PR) programs seem to have no clear effect on changing SB. Therefore, our study aimed to identify the strategies used in the literature to reduce SB among individuals with COPD. METHOD: A scoping review was conducted to summarize the current literature regarding the proposed strategies to reduce SB in individuals with COPD. Searches were conducted in PUBMED; SCOPUS and COCHRANE LIBRARY for studies published from 2010 to march 2024. RESULTS: Twenty four articles were retained for our review. Most of the identified strategies in the literature (21/24 articles) are based on behavioral approaches, with various forms: promoting self-efficacy, self-management and self-regulation of one's own behavior (12 articles), goal setting (10 articles), constant feedback (11 articles), therapeutic education (8 articles), motivational strategies (6 articles), re-engagement in meaningful activities (4 articles), promoting light intensity physical activity (LPA) (6 articles) and social support (6 articles). In association with the behavioral strategies, wearable connected technologies have been used in 4 articles, alone or combined with physical exercise programs included or not in a PR program. The home is associated with 83 % of interventions as a place for initial and continuous implementation of behavioral strategies. CONCLUSION: It would seem appropriate to focus on combined strategies to reduce SB in individuals with COPD (improvement of physical abilities and behavioral strategies). Further research is needed to only target the reduction of SB and to evaluate the effects of various interventions.

Longitudinal study of changes in greenness exposure, physical activity and sedentary behavior in the ORISCAV-LUX cohort study.

BACKGROUND: Greenness exposure has been associated with many health benefits, for example through the pathway of providing opportunities for physical activity (PA). Beside the limited body of longitudinal research, most studies overlook to what extent different types of greenness exposures may be associated with varying levels of PA and sedentary behavior (SB). In this study, we investigated associations of greenness characterized by density, diversity and vegetation type with self-reported PA and SB over a 9-year period, using data from the ORISCAV-LUX study (2007-2017, n = 628). METHODS: The International Physical Activity Questionnaire (IPAQ) short form was used to collect PA and SB outcomes. PA was expressed as MET-minutes/week and log-transformed, and SB was expressed as sitting time in minutes/day. Geographic Information Systems (ArcGIS Pro, ArcMap) were used to collect the following exposure variables: Tree Cover Density (TCD), Soil-adjusted Vegetation Index (SAVI), and Green Land Use Mix (GLUM). The exposure variables were derived from publicly available sources using remote sensing and cartographic resources. Greenness exposure was calculated within 1000m street network buffers around participants' exact residential address. RESULTS: Using Random Effects Within-Between (REWB) models, we found evidence of negative within-individual associations of TCD with PA (ß = - 2.60, 95% CI - 4.75; - 0.44), and negative between-individual associations of GLUM and PA (ß = - 2.02, 95% CI - 3.73; - 0.32). There was no evidence for significant associations between greenness exposure and SB. Significant interaction effects by sex were present for the associations between TCD and both PA and SB. Neighborhood socioeconomic status (NSES) did not modify the effect of greenness exposure on PA and SB in the 1000 m buffer. DISCUSSION: Our results showed that the relationship between greenness exposure and PA depended on the type of greenness measure used, which stresses the need for the use of more diverse and complementary greenness measures in future research. Tree vegetation and greenness diversity, and changes therein, appeared to relate to PA, with distinct effects among men and women. Replication studies are needed to confirm the relevance of using different greenness measures to understand its' different associations with PA and SB.

Lifestyle, meal times, and sleep patterns changes in higher education professors during COVID-19: Association with non-communicable chronic diseases.

BACKGROUND: In response to the COVID-19 pandemic, educational institutions had to swiftly adapt and transition to remote teaching in order to maintain academic activities. However, these changes presented a number of challenges for professors, which could have negative effects on their health. OBJECTIVE: To analyze the association between changes in dietary and sleep habits, physical activity level, and sedentary behavior with the development of non-communicable diseases (NCDs) among Brazilian higher education professors during the pandemic period. METHODS: This is a cross-sectional and retrospective study conducted using an online form. Generalized linear models, adjusted for age, sex, and body mass index, were used to verify the difference between pre-pandemic and pandemic periods. Logistic regression models were used to predict the odds ratio (OR) for the development of NCDs according to physical activity time, sedentary behavior time, dietary and sleep patterns. RESULTS: A total of 936 professors residing across Brazil participated in the survey. The duration of sedentary behavior increased, sleep duration slightly decreased, and meal times shifted to earlier during the pandemic. A total of 22.9%of the participants reported the diagnosis of some NCDs during this period. Physical activity practice was associated with a lower risk of diseases during the pandemic, regardless of the intensity performed. On the other hand, late eating habits and excessive food consumption during the pandemic were associated with a higher risk. CONCLUSION: The results provide data that can help in the development of public policies that promote health actions to minimize the consequences associated with the pandemic period.

Recent Cannabis Use and Accelerometer-Measured Physical Activity and Sedentary Behavior Among Young-to-Midlife Adults: An Analysis of the National Health and Nutrition Examination Survey from 2011 to 2014.

Introduction: Cannabis use has been associated with reduced physical activity and increased sedentary behavior in adolescents. In adults, however, there is no conclusive evidence of such an association, and existing studies have primarily relied on self-reported activity measures. As cannabis use increases globally, a deeper understanding of its relationship with activity levels may inform clinical counseling and guidelines. This study investigated the association between recent cannabis use and accelerometer-measured activity. Methods: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2014. We included adults in the United States who responded to a cannabis questionnaire and had at least 4 days of activity data from an ActiGraph GT3X+ accelerometer, which comprised participants from 18 to 59 years. The primary exposure was any self-reported cannabis use in the past 30 days. The primary outcome was daily sedentary time and secondary outcomes were daily light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA). Analyses were performed with multivariable quasi-Poisson regression models. Results: Of 4666 included adults, 658 (14.1%) reported recent cannabis use. After covariate adjustment, recent cannabis use was not associated with daily sedentary time (adjusted incidence rate ratio [aIRR] 0.99, 95% confidence interval [CI]: 0.98-1.01) or daily MVPA time (aIRR 1.01, 95% CI: 0.98-1.04). Daily LPA time was 4% greater with recent cannabis use (aIRR 1.04, 95% CI: 1.01-1.06). Conclusion: Recent cannabis use in young to midlife adults was not associated with accelerometer-measured sedentary or MVPA time, but it was associated with a marginal increase in LPA time of unclear clinical significance. Our findings provide evidence against existing concerns that cannabis use independently promotes sedentary behavior and decreases physical activity. Future prospective studies are needed to determine if these findings generalize to specific populations using cannabis including chronic pain patients.

Physical activity attenuates the excess mortality risk from prolonged sitting time among adults with osteoporosis or osteopenia.

PURPOSE: Osteoporosis is a common generalized skeletal disorder characterized by compromised bone strength predisposing a person to an increased risk of fracture. This study aims to crystallize associations of physical activity (PA) and sedentary behaviour with the survival of adults with osteoporosis or osteopenia. METHODS: A total of 3103 participants aged 50 years or older from the National Health and Nutrition Examination Survey (NHANES) were included in the study. All participants were diagnosed with osteopenia or osteoporosis. Multivariable Cox proportional hazards regression models were used to assess the association of PA and sedentary behaviour with overall mortality, cancer-related mortality, and cardiovascular disease (CVD)-related mortality. RESULTS: During 21349 person-years of follow-up, 675 deaths were documented. Highly active participants had a lower risk of all-cause (hazard ratios [HR] = 0.61; 95% confidence interval [CI], 0.42-0.87; P for trend = 0.004), cancer-specific (HR = 0.64; 95%CI, 0.35-1.17; P for trend = 0.132), CVD-specific (HR = 0.75; 95%CI, 0.45-1.25; P for trend = 0.452), and other (HR, 0.51; 95%CI, 0.29-0.88; P for trend = 0.005) mortality than inactive participants. And sitting time was not associated with mortality among physically active participants; while among those who were insufficiently active or inactive, longer sitting time was associated with increased risks of all-cause (HR per 1-h increase = 1.05; 95% CI, 1.01-1.09), cancer-specific (HR per 1 h increase = 0.98; 95% CI, 0.90-1.07), CVD-specific (HR per 1-h increase = 1.11; 95% CI = 1.04-1.18), and other (HR per 1-h increase = 1.05; 95% CI, 0.98-1.13) mortality in a dose-response manner. CONCLUSIONS: PA can attenuate the excess mortality risk from prolonged sitting for individuals with osteoporosis and/or osteopenia. The combination of prolonged sedentary behaviour with inactive (participants without any PA during a week) PA was associated with an increased risk of mortality. The all-cause mortality risk of individuals who engage in less than 150 min/wk PA and sit more than 8 h/d is 2.02 (95% CI, 1.37-2.99) times higher than that of individuals who engage in more than 150 min/wk PA and sit less than 4 h/d.

Motivation for Physical Activity as a Key Determinant of Sedentary Behavior Among Postsecondary Students.

It is known that the transition to adulthood represents a critical period of life when acquiring healthy behaviors can influence lifestyle and health throughout adulthood. Given the importance of the consequences of a sedentary lifestyle, identifying influence factors is key to improving healthy behaviors. The objective of this study is to explore the role of postsecondary students' motivation toward physical activity in the association with their screen time and out-of-school physical activity practice. A total of 1522 postsecondary students (90% were aged 17-20 years) recruited from 17 postsecondary institutions completed the self-reported questionnaire during course time. Multivariate linear regression was used to assess the association between motivation to move including additional predictors of behavior such as intention and tendency to self-activate and self-reported screen time and physical activity controlling for age and sex. Motivation including all 3 motivational variables (interest, utility, competence) was negatively associated with screen time, b = -0.498 (95% CI between -0.635 and -0.361) and positively associated with moderate-to-vigorous physical activity, b = 133.986, (95% CI between 102.129 and 165.843). Of the 3 motivational variables, interest had the strongest negative association with screen time, b = -0.434 (95% CI between -0.551 and -0.317), and the strongest positive association with physical activity, b = 113.671, (95% CI between 86.396 and 140.946). These findings indicate that the motivation of postsecondary students toward physical activity significantly influences their behaviors, including screen time and physical activity engagement.

Physical activity has decreased in Finnish children and adolescents from 2016 to 2022.

BACKGROUND: Varying trends in children's and adolescents' physical activity (PA) have been reported during the last 10-20 years. Trends in sedentary behavior (SB) have been studied only rarely. The purpose of the present study was to describe population-based trends in accelerometer-measured PA, standing and SB, among Finnish 7-15-year-old children and adolescents, and to evaluate the potential influence of the COVID-19 pandemic on these behaviors. METHOD: A cross-sectional population-based Finnish school-aged physical activity Study (FSPA) measured daily steps, vigorous (VPA), moderate (MPA), moderate-to-vigorous (MVPA), light physical activity (LPA), standing, and SB by an accelerometer for seven consecutive days in 2016, 2018, and 2022 (n = 7.080, 57% girls). The data was analyzed by multivariate regression analysis. RESULTS: In 2016, participants took on average 10.305 steps per day, and spent 0:15 (h: min) in VPA, 1:37 in MPA, 1:52 in MVPA, 3:48 in LPA, 0:55 in standing and 7:52 in SB. From 2016 to 2018, daily steps, MPA, LPA, and standing increased [229 steps (95% Confidence Interval, CI 70-387), 0:03 (CI 0:01 - 0:04), 0:11 (CI 0:09 - 0:14), and 0:07 (CI 0:05 - 0:08), respectively], while VPA and SB decreased [0:01 (CI 0:00-0:02) and 0:20 (CI 0:16 - 0:24), respectively]. From 2018 to 2022, daily PA and standing declined [751 steps (CI 562-939), VPA 0:02 (CI 0:01 - 0:03), MPA 0:09 (CI 0:07 - 0:11), MVPA 0:11 (CI 0:09 - 0:14), LPA 0:08 (CI 0:05 - 0:11), and standing 0:01 (CI 0:01 - 0:03)] while SB increased 0:21 (CI 0:16 - 0:25) indicating potential influence of the pandemic. CONCLUSIONS: Children and adolescents became physically less active from 2016 to 2022. The potential effects of the COVID-19 were seen as declined PA and increased sedentariness from 2018 to 2022.