Changes In Physical Activity Levels Research Articles

Studies of physical activity and COVID-19 during the pandemic: an updated scoping review.

This review is an update of the previous study aiming to identify the available evidence related to physical activity (PA) in the context of the coronavirus disease (COVID-19) pandemic. We searched 6 databases (PubMed, Embase, SPORTDiscus, Scopus, Web of Science, and CINAHL) in April 2024. Medical subject headings and keywords related to PA and COVID-19 were combined to conduct the online search, which covered the period from July 2020 to April 2024. Overall, 49,579 articles were retrieved. After duplicate removal and title, abstract, and full-text screening, 1,976 articles were included in this update. Most of the studies were observational with a cross-sectional design (68.0%). Most of COVID-19 and PA studies came from high-income countries. Most studies explored the changes in PA levels due to the COVID-19 pandemic and its effects on mental health outcomes. Research on PA and COVID-19 prioritized online approach and cross-sectional designs. Most of the evidence identified a decrease in PA levels due to social distancing measures.

Active sport participation and walking before and during COVID-19 pandemic in a large cohort of Polish adults: results of the National Test for Poles' Health.

The COVID-19 pandemic has led to significant changes in daily life, including changes in physical activity levels. This study aims to examine the impact of the pandemic on sport participation and walking among Polish adults. The data was collected using the National Test for Poles' Health, a large-scale online survey. The survey was conducted before and 1 year after the pandemic onset in Poland (March 2020 and March 2021), with >300 000 participants in each year. The results revealed that the percentage of respondents engaging in at least 2 h/week of sport increased by 2.3% (from 24.6% to 26.9%) (p < 0.0001) and percentage of respondents not engaging in any sport decreased by 2.5% (from 48.0% to 45.5%) (p < 0.0001). These trends were observed across different age, sex, dwelling-place, education level, and employment groups. Percentage of respondents declaring they spend >2 h/day on walking also increased, from 5.6% to 6.6% (p < 0.0001). Furthermore, a positive association was found between sport participation and walking time (p < 0.0001). The findings suggest a slight improvement in physical activity levels among Polish adults during the pandemic, which may be attributed to factors such as increased time available due to remote work and the prioritization of health during the crisis. Further research is needed to explore the long-term consequences of the pandemic on physical activity and public health. Int J Occup Med Environ Health. 2024;37(4).

Are Barriers to Physical Activity Associated With Changing Physical Activity Levels and Sedentary Time in Patients With Peripheral Arterial Disease? A Longitudinal Study.

The aims of the current study were to analyze the association between the barriers to and changes in physical activity levels and sedentary behavior, as well as to examine whether these barriers change over time in patients with peripheral artery disease. In this longitudinal study, we assessed 72 patients (68% men; 65.7 ± 9.2years). Physical activity was measured over a 7-day period using an accelerometer, and data were collected on time spent in sedentary activities, low-light physical activities, and moderate-to-vigorous physical activities. Personal and environmental barriers to physical activity were collected using yes or no questions. Assessments were repeated in the same patients after 27months (95% confidence interval [26, 28]months). Most barriers remained stable in these patients; however, those who reported lack of money experienced an increase in sedentary behavior (β = 392.9 [159.7]min/week, p = .02) and a decrease in low-light physical activity (β = -372.4 [140.1]min/week, p = .02). These findings suggest that patients with symptomatic peripheral artery diseasetypically exhibit stable barriers over time, and individuals reporting lack of money demonstrated a decrease in low-light physical activity and an increase in sedentary behavior after 27months.

Daily steps are a predictor of, but perhaps not a modifiable risk factor for Parkinson's Disease: findings from the UK Biobank.

Higher physical activity levels have been suggested as a potential modifiable risk factor for lowering the risk of incident Parkinson's disease (PD). This study uses objective measures of physical activity to investigate the role of reverse causation in the observed association. To investigate the association between accelerometer-derived daily step count and incident PD, and to assess the impact of reverse causation on this association. This prospective cohort study involved a follow-up period with a median duration of 7.9 years, with participants who wore wrist-worn accelerometers for up to 7 days. The study was conducted within the UK Biobank, a large, population-based cohort. The analysis included 94,696 participants aged 43-78 years (56% female) from the UK Biobank who provided valid accelerometer data and did not have prevalent PD. Daily step counts were derived using machine learning models to determine the median daily step count over the monitoring period. The primary outcome was incident PD, identified through hospital admission and death records. Cox proportional hazards regression models estimated hazard ratios (HR) and 95% confidence intervals (CI) for the association between daily step count and incident PD, with adjustments for various covariates and evaluation of reverse causation by splitting follow-up periods. During a median follow-up of 7.9 years (IQR: 7.4-8.4), 407 incident PD cases were identified. An inverse linear association was observed between daily step count and incident PD. Participants in the highest quintile of daily steps (>12,369 steps) had an HR of 0.41 (95% CI 0.31-0.54) compared to the lowest quintile (<6,276 steps; HR 1.00; 95% CI 0.84-1.19). A per 1,000 step increase was associated with an HR of 0.92 (95% CI 0.89-0.94). However, after excluding the first six years of follow-up, the association was not significant (HR 0.96, 95% CI 0.92-1.01). The observed association between higher daily step count and lower incident PD is likely influenced by reverse causation, suggesting changes in physical activity levels occur years before PD diagnosis. While step counts may serve as a predictor for PD, they may not represent a modifiable risk factor. Further research with extended follow-up periods is warranted to better understand this relationship and account for reverse causation.

The protective effect of physical activity on mental health of middle school students at different stages during the COVID-19 outbreak

This study aims to further understand the changes in physical activity level(PAL) and mental health among adolescents before and after the outbreak of COVID-19 and explore the protective role of physical activity (PA) on the mental health of adolescents during major disasters. A convenient sampling method was used to conduct a cross-sectional survey. The cross-sectional data from 2838 Chinese middle school students (mean age = 14.91 ± 1.71 years, 49.54% female) were used, of which 1,471 and 1,367 were in 2021 and 2022, respectively. The PAL was collected using the Physical Activity Questionnaire for Children (PAQ-CN), mental health status was collected using the Mental Health Inventory of Middle School Students (MMHI-60), sociodemographic information was collected using a self-reported questionnaire. Before and after the outbreak of COVID-19, the PAL of adolescents was 2.36 ± 0.74 and 2.50 ± 0.66, respectively, with a significant difference (p < 0.01, 95% CI: 0.09, 0.19). The mental health scores were 1.71 ± 0.60 and 1.86 ± 0.73, respectively, with a significant difference (p < 0.01, 95% CI: − 0.20, − 0.10). The detection rates of mental health problems were 27.50% and 35.50%, respectively. The rates of achieving PAL standards were 30.20% and 18.00% among adolescents, while the rates of not achieving PAL standards were 39.60% and 18.00%. PA is a protective factor for the mental health of adolescents during major disasters.

Relationship between Change in Physical Activity and Risk of Metabolic Syndrome: A Prospective Cohort Study.

This study investigates the relationship between changes in physical activity levels and risk of metabolic syndrome. This study examined 1,686 adults aged 40 to 69 years from a community-based cohort study with complete 1st to 4th follow-up data between 2011 and 2020. Changes in physical activity were evaluated through baseline and follow-up surveys using physical activity questionnaires. Metabolic syndrome was diagnosed according to the International Diabetes Federation criteria. A survival analysis was conducted using a multivariate extended Cox regression model with a significance level set at P<0.05. Participants were divided into groups according to physical activity levels. The newly inactive group (vigorous physical activity ≤150 minutes at first follow-up) had a 36% increase in the hazard ratio (HR) for metabolic syndrome compared with the consistently inactive group (≤150 minutes at both baseline and first follow-up) (HR, 1.36; 95% confidence interval [CI], 1.04 to 1.79). The newly active group (walking ≤420 minutes per week at baseline and >420 minutes per week at first follow-up) had a 25% decrease in the HR for metabolic syndrome compared with the consistently inactive group (walking ≤420 minutes per week at both baseline and first follow-up) (HR, 0.75; 95% CI, 0.57 to 0.98). Changes in physical activity levels are associated with risk of metabolic syndrome. These results provide important insights for future investigations into the link between physical activity changes and disease occurrence.

Greater changes in self-reported activity level are associated with decreased quality of life in patients following an anterior cruciate ligament reconstruction

ObjectiveTo determine the association between change in physical activity level, as defined as the change from pre-to post-operative Tegner Activity Scale, and quality of life (QOL) after anterior cruciate ligament reconstruction (ACLR), before patients are cleared for return to sport. Participants1198 participants (42.9% male; 18.7 ± 3.6 years; 7.1 ± 3.7 months post-ACLR). Main outcome measuresSurveys included Knee Injury and Osteoarthritis Outcome Score QOL (KOOS-QOL) subscale and Tegner Activity Scale. KOOS-QOL score ≥62.5 is considered as meeting a previously established patient acceptable symptom state. ResultsThe acceptable KOOS-QOL group reported a significantly smaller decrease in activity level from pre-injury to time of data collection (median: 2.00, IQR: 2.00) than the unacceptable KOOS-QOL group (median: 3.00, IQR: 3.00). Across the full cohort, for every one-point larger decrease in Tegner score from pre-to post-ACLR, there is a 52% increase in the odds of having an unacceptable KOOS-QOL score. For adolescents, the odds increase to 60% while the odds for adults were lower at 39%. ConclusionsFollowing ACLR, greater decreases in physical activity level are associated with poorer QOL for both adolescents and adults at short-term follow-up, and this effect is larger amongst adolescents.

The influencing factors of changes in physical activity levels of pregnant women during pregnancy: From the perspective of continuous care.

A comprehensive understanding of physical activity levels (PAL) among Chinese pregnant women and an exploration, from a continuous care perspective, of various factors influencing these activity levels. Investigating the correlations between adverse habits, psychological factors, and PAL in prenatal health management. This study aims to provide substantial guidance for prenatal health management and personalized care, offering recommendations to healthcare professionals and policymakers to enhance the overall health and well-being of pregnant women. This study enrolled 1256 pregnant women as research subjects. Baseline information was collected through a personal information collection form. Subsequently, continuous care was provided during the early, middle, and late stages of pregnancy, documenting the respective influencing factors. Simultaneously, the International Physical Activity Questionnaire (IPAQ) was utilized to assess the PAL of pregnant women across different trimesters. Finally, using the SPSS software version 25.0, a combined approach of generalized linear mixed effects (GLME) models and multivariate logistic regression was used to statistically analyze the collected data, comprehensively exploring the influencing factors of PAL during pregnancy. The proportion of research subjects engaged in low-level physical activity decreased from 60.80% to 40.34% across various stages of pregnancy, while the proportion engaged in moderate-level physical activity ranged from 25.32% to 40.75%. Meanwhile, the proportion engaged in high-level physical activity accounted for 13.88% to 18.91%.There was P = .021 and β = -0.276 for smoking before pregnancy. The P-value of pregnant women who smoke in the second trimester was.035, the Odds Ratio (OR) value was 0.638, and the 95% confidence interval (CI) was (0.406, 0.972). The difference was statistically significant (all P < .05). In China, the physical activity level of pregnant women is generally low, which is related to factors such as smoking, alcohol consumption, sleep disorders, and depression during pregnancy. Medical personnel should improve the living habits of pregnant women and enhance their PAL through measures such as health education and psychological counseling.

It needs more than a myocardial infarction to start exercising: the CoLaus|PsyCoLaus prospective study

BackgroundIncreased physical activity (PA) is recommended after an acute coronary event to prevent recurrences. Whether patients with acute coronary event actually increase their PA has not been assessed using objective methods such as accelerometer. We aimed to assess the subjectively and objectively measured physical activity (PA) levels of patients before and after an acute coronary event.MethodsData from the three follow-up surveys of a prospective study conducted in Lausanne, Switzerland. Self-reported PA was assessed by questionnaire in the first (2009–2012) and second (2014–2017) follow-ups. Objective PA was assessed by a wrist-worn accelerometer in the second and third (2018–2021) follow-ups. Participants who developed an acute coronary event between each survey period were considered as eligible. PA levels were compared before and after the event, and changes in PA levels were also compared between participants who developed an acute event with three gender and age-matched healthy controls.ResultsFor self-reported PA, data from 43 patients (12 women, 64 ± 9 years) were used. No differences were found for all PA levels expressed in minutes/day before and after the event: moderate PA, median and [interquartile range] 167 [104–250] vs. 153 [109–240]; light PA: 151 [77–259] vs. 166 [126–222], and sedentary behaviour: 513 [450–635] vs. 535 [465–642] minutes/day. Comparison with gender- and age-matched healthy controls showed no differences regarding trends in reported PA. For accelerometer-assessed PA, data from 32 patients (16 women, 66 ± 9 years) were used. No differences were found for all PA levels expressed in minutes/day before and after the event: moderate PA: 159 [113–189] vs. 141 [111–189]; light PA: 95.8 [79–113] vs. 95.9 [79–117], and sedentary behaviour: 610 [545–659] vs. 602 [540–624]. Regarding the comparison with gender- and age-matched healthy controls, controls had an increase in accelerometer-assessed sedentary behaviour as % of day: multivariable adjusted average standard error 2.7 ± 0.6, while no increase was found for cases: 0.1 ± 1.1; no differences were found for the other PA levels.ConclusionPatients do not seem to change their PA levels after a first coronary event. Our results should be confirmed in larger samples.

"If I want to be able to keep going, I must be active." Exploring older adults' perspectives of remote physical activity supports: a mixed-methods study.

Pandemic-related public health restrictions limited older adults' physical activity programs and opportunities. Physical activity supports shifted to remote options, however, information on their adoption and effectiveness is limited. This study aims to describe the remote supports received by older adults and their perceived effectiveness. Additionally, it aims to describe facilitators and barriers to remote supports for physical activity among older adults, particularly those reliant on technology. This study used an explanatory, sequential, mixed-methods design. Community-dwelling older adults (≥ 60 years) were recruited to partake in a web-based survey and an optional semi-structured follow-up interview informed by the COM-B model. Participant characteristics, perceived effectiveness of remote supports, and the presence and severity of barriers were described. Changes in physical activity levels before and during the pandemic were analyzed using the Wilcoxon signed-rank test. Qualitative data underwent inductive thematic analysis. Fifty seven older adults (68.3 ± 7.1 years, 43 Female) completed the survey, of which 15 participants (67.4 ± 5.8 years, 12 Female) participated in interviews. The majority were Caucasian, highly educated, and resided in Canada. Total physical activity levels showed no statistically significant change from before to during the pandemic (p = 0.74); however, at-home exercise participation and technology usage increased. Pre-recorded and real-time virtual exercise supports were perceived as most effective. Main barriers included limited contact with exercise professionals, limited access to exercise equipment or space, and decreased mental wellness. Thematic analysis identified five main themes: (i) Enabled by knowledge and resources; (ii) Diverse motivations for physical activity; (iii) Fostering participation through social connection; (iv) Supervision and safety: enabling adherence; and (v) Virtual exercise: a sustainable option with technological considerations. Virtual platforms show promise in supporting older adults' physical activity at home, especially for those with limited in-person access. Our study suggests that both real-time and pre-recorded virtual exercise supports are feasible, depending on technological capacity and support. While interactive real-time virtual programs allow interaction with professionals and peers, pre-recorded programs provide timing flexibility. Further research is needed to establish best practices for safe and effective virtual exercise programming, promoting its long-term adoption for supporting a wider range of older adults.

Changes in eating habits and lifestyle during the first year of the COVID-19 pandemic across metropolitan regions in Brazil and Germany: A survey-based cross-sectional study.

COVID-19 caused profound societal changes to cope rapidly with the new circumstances. The food market changed its quantity, quality, form, and frequency dynamics. Consequently, food-eating habits and lifestyles like physical exercise likely experienced changes. An online-based survey was conducted between June 2020 and January 2021 in the metropolitan regions of Rhine Ruhr Metropolis (RRM), Greater São Paulo (GSP), other metropolitan regions in São Paulo state (oMRSP), other Brazilian metropolitan regions (oBRMR), and the remaining urban areas in both countries (oUA), representing different contexts of Brazil and Germany. We assessed self-reported changes in physical activity level, diet quality, self-reported eating habits, and buying groceries during the first year of the pandemic. In Germany, indoor and outdoor activities increased for 34% of the respondents, while in Brazil, there was a decrease in physical activity for 50% of the participants. The Healthy Eating Index (HEI) scored higher among Brazilians (16.8) than Germans (15.2) on a 0-29 HEI scale. Increased awareness of healthy and sustainable eating habits was observed in GSP (0.7), oMRSP (0.63), oBRMR (0.7), and oUA (0.68) on a scale from no change (0) to change (1). In RRM, an increase in convenience foods was noticed (0.86). Participants reported discomfort with food purchasing due to hygiene measures and avoided going to the supermarket (0.7 on average in Brazil and 0.58 for females using the same 0-1 scale). Also, food supply at the grocery shops was reported to be often unavailable and in lower quantities. A real-time assessment of self-reported changes in eating habits and lifestyle during the lockdown in 2020 in different contexts is insightful for rethinking strategies to improve conditions in the post-COVID-19 era and prepare for future pandemics.

Associations of postdiagnosis changes in physical activity with all-cause mortality among patients with stage I-IIA colorectal cancer.

87 Background: Several observational studies show an association between physical activity (PA) at diagnosis and reduced risk of mortality among colorectal cancer (CRC) patients, but there has been limited research examining the potential benefit of changes in PA levels after CRC diagnosis. Here we investigate the association between change of PA and all-cause mortality in patients with stage I-IIA CRC receiving resection with curative intent. Methods: Data were used from two large Dutch CRC cohort studies (PLCRC &amp; COLON), which assessed PA at diagnosis (T0), six (T6) and twelve (T12) months after diagnosis, using the SQUASH questionnaire. A total of 2540 stage I-IIA CRC patients with repeated PA measures (i.e. a T0 and at least a T6 or T12 questionnaire) were used for this analysis. Total PA was quantified by calculating Metabolic Equivalent Task (MET) hours per week and categorized as low, moderate, and high PA, based on tertiles of an age- and sex-matched sample of the general population. PA changes were evaluated at T6 and T12 relative to T0. Being active was defined per timepoint as being in the moderate or high total PA group, or adhering to the PA guideline (minimum of 150 minutes per week of moderate-intensity PA). Cox proportional hazards models were used to study the association between PA variables and all-cause mortality, adjusted for age, sex, BMI, and tumor location (colon vs rectum). Results: Median follow-up time was 35 months (interquartile range 19 – 55) during which a total of 133 deaths occurred. Being active at both T0 and T6 compared to being inactive at these timepoints, was associated with a lower rate of all-cause mortality for both PA variables (adjusted hazard ratio (HR) 0.39 [95% confidence interval 0.24-0.63] and 0.41 [0.23-0.72] for total PA and guideline adherence, respectively). Similar results were found when comparing T12 to T0 (being active according to total PA HR 0.20 [0.09-0.42] and guideline adherence HR 0.31 [0.14-0.72]). Changing to either activity or inactivity at T6 or T12 was not significantly associated with all-cause mortality (Table). Conclusions: Maintaining a physically active lifestyle following surgery for stage I to IIA CRC is associated with longer overall survival, reinforcing the recommendations for physical activity. [Table: see text]

Changes in physical activity level during hospitalization in patients with stroke and those with fracture: a prospective longitudinal study.

[Purpose] To examine changes in physical activity levels between admission and discharge in patients hospitalized after stroke and fracture. [Participants and Methods] Patients with stroke (n=36) or fracture (n=41) wore an accelerometer during the daytime for three days after admission and before discharge. Physical activity was divided into sedentary behavior (SB), light-intensity (LIPA), and moderate-to-vigorous (MVPA), and then compared between hospital admission and discharge using the Wilcoxon signed-rank test. The characteristics of patients with or without changes in SB during hospitalization were compared using the Mann-Whitney U test. [Results] The median LIPA time in patients after stroke and fracture increased from 107.5 and 106.7 minutes on admission to 122.0 and 127.3 minutes at discharge, and the median MVPA time increased from 2.7 and 0.7 minutes on admission to 4.2 and 2.7 minutes at discharge, respectively. In particular, LIPA in non-therapy time increased for patients both after stroke and fracture. No differences in characteristics were observed between with or without changes in SB regardless of differences in diagnoses. [Conclusion] These findings indicate that while physical activity levels increased during hospitalization, they remained below World Health Organization recommendations for MVPA, and patient characteristics alone may not account for increased activity levels.

The COVID Pandemic Worsened Physical Activity Disproportionately in Frailer Adults: A Canadian Longitudinal Study on Aging.

Frailty is associated with increased hospitalization and mortality and may be exacerbated with physical inactivity. The COVID-19 pandemic has heterogeneously impacted peoples' physical activity level, but the impact on the frail population is unclear. The objective of this study is to test the hypothesis that higher frailty levels were associated with worse changes in physical activity, ability to move around the home, and do housework during the pandemic. We included 23,303 Canadians (age: 69.1 ± 9.5years, 53% females) who participated in the Canadian Longitudinal Study on Aging COVID-19 Questionnaire study. Frailty prior to the pandemic (follow-up 1: 2015-2018) was measured via 52-item frailty index and grouped into 0.00-0.05, 0.05-0.10, 0.10-0.20, and >0.20 scores. Participants were asked whether they changed their levels of physical activity, ability to move at home, and ability to do housework during the pandemic. The average frailty level was 0.09 ± 0.06. Compared with the lowest frailty group, participants with frailty levels >0.20 reported worse physical activity (17% vs. 45%), worse ability to move at home (3% vs. 26%), and perform housework (3% vs. 27%). Covariate-adjusted logistic regression models demonstrated that higher frailty level was associated with a greater odds of reporting worse physical activity (reference: 0.00-0.05; odds ratio for frailty index >0.20:4.03, 95% confidence interval [3.33, 4.87]), worse ability to move in home (odds ratio = 11.16, 95% confidence interval [8.28, 15.03]), and worse ability doing housework (odds ratio = 12.58, 95% confidence interval [9.24, 17.13]). The adverse changes in physical activity levels and ability to move at home among frail older adults during the pandemic document the need for strategies to help vulnerable populations move more.

Association of Questionnaire-Based Physical Activity Analysis and Body Composition Dynamics in Type 2 Diabetes: A Cross-Sectional Study.

Physical activity (PA) exerts an important influence on glycemic control in type 2 diabetes (T2D) patients. Alterations in body composition in patients with T2D may be involved in the overall pathophysiologic process, but PAs and alterations in body composition have been poorly studied. A total of 615 patients with T2D were selected by convenient sampling. The patients were investigated with the International Physical Activity Questionnaire (IPAQ-S). Moreover, biochemical indices were collected, and the progression of the body composition of the subjects was determined via dual-energy X-ray absorptiometry (DXA). The variables included lumbar bone mineral density (LSBMD), femoral neck bone mineral density (FNBMD), hip bone mineral density (HBMD), whole-body bone mineral density (TBMD), limb skeletal muscle mass index (ASMI), whole-body fat percentage (B-FAT) and trunk fat percentage (T-FAT). Moreover, the levels of physical activity (high level of physical activity [H-PA], medium level of physical activity [M-PA] and low level of physical activity [L-PA]) were divided into three groups to analyze the changes in patient body composition with changes in physical activity level. One-way analysis of variance showed that β-CTX, TP1NP, HbA1c, B-FAT and T-FAT increased significantly (p<0.05), while 25(OH)D, LSBMD, FNBMD, HBMD, TBMD and ASMI decreased significantly (p<0.001) with the decrease of physical activity. However, there was no significant difference in serum lipids between lnHOMA-ir and lnHOMA-β (p>0.05). Multiple linear regression model was established to gradually adjust for clinical confounding factors. It was found that physical activity level was independently positively correlated with LSBMD, FNBMD, HBMD, TBMD, and ASMI, and was independently negatively correlated with B-FAT and T-FAT in patients with type 2 diabetes. A lack of physical activity is an independent risk factor for decreased bone mineral density, decreased skeletal muscle content and increased fat content in patients with T2D.

Umbrella review of international evidence for the effectiveness of school-based physical activity interventions.

Obesity and physical inactivity among children and young people are public health concerns. Despite the wide variety of interventions available to promote physical activity, little is known about which interventions are most effective. This review aimed to evaluate the existing literature on school-based interventions that aim to increase physical activity among children and young people aged 6 to 18 years. A systematic review of reviews was undertaken. We searched for systematic reviews and meta-analyses published between December 2017 and January 2024 using databases such as PubMed, Scopus, and CINAHL. Titles and abstracts were independently screened by two reviewers, who also conducted data extraction and quality assessments. We focused on outcomes like changes in physical activity levels and body mass index to assess the effectiveness of the interventions. A total of 23 reviews examining school-based physical activity interventions met the inclusion criteria, comprising 15 systematic reviews and 8 meta-analyses. All reviews (N = 23) were implemented in the school setting: three in primary schools, seven in secondary schools, and thirteen targeted both primary and secondary schools. The findings demonstrated that six reviews reported a statistical increase in physical activity levels among the target population, and one review found a decrease in body mass index. The most promising interventions focused on physical activity included within the school curriculum and were characterised as long-term interventions. 20 out of 23 reviews assessed the quality of primary studies. Some interventions were promising in promoting physical activity among school-aged children and young people such as Daily Mile, Active Break, and Active transport while multi-component interventions seem to be positively effective in reducing BMI. Future efforts should focus on long-term, theory-driven programmes to ensure sustainable increases in physical activity.

Physical activity, acute severity and long-term consequences of COVID-19: an 18-month follow-up survey based on a Swedish national cohort

ObjectiveTo investigate how changes in levels of physical activity (PA) in regard to acute disease severity relate to perceived difficulties in performing daily life activities 18 months after COVID-19 infection.DesignAn...

Longitudinal Associations Between Physical Activity and Sleep Duration in Infants and Toddlers.

This study examined longitudinal associations between average physical activity (PA) levels in children and their sleep duration, and whether changes in PA levels are associated with their sleep duration. Data were collected on 108 children at 4 time points: when children were 6, 12, 18, and 24months of age (44% female, 50% Non-Hispanic White). PA was assessed using accelerometry. Children's daytime, nighttime, and 24-hour sleep duration were measured with actigraphy. Linear mixed model analyses estimated the associations between average PA levels over time and changes in PA over time, treating each sleep duration variable as an outcome in separate linear mixed model analyses. Children with higher total PA levels slept less during the day compared with children with lower total PA levels over the 2-year period. The strength of the relationship between a child's PA levels and their 24-hour sleep duration decreased as they approached 24months of age. The results suggest that while PA may be developmentally beneficial overall, it appears that its relationship with sleep duration is not clinically relevant in very young children.

Physical Activity, Alcohol, and Cigarette Use in Urological Cancer Patients over Time since Diagnosis.

Urological cancers represent a substantial global public health concern, exerting far-reaching effects on both individuals and their families. There is an urgent need to comprehensively understand the transformations in patients' lifestyles and behaviors, given their critical role in the treatment process and overall well-being. This study, involving 128 urological cancer patients, aims to investigate changes in physical activity levels, problematic drinking behaviors assessed through the Alcohol Use Disorders Identification Test (AUDIT), and smoking habits assessed using the Fagerström Test for Nicotine Dependence (FTND) over four distinct time intervals over the subsequent three years from the time of diagnosis and among individuals diagnosed more than three years ago. The results reveal a significant decrease in physical activity levels between study intervals (p < 0.0001), declining from 69% to 45% between the first and second post-diagnosis assessments. Furthermore, the highest levels of problematic substance use, indicated by mean scores, were noted in the first year following diagnosis (AUDIT: 4.20, p = 0.01; FTND: 4.83, p = 0.08). Given the significant impact of physical activity on the prospects of recovery, it is imperative to delve more deeply into the factors contributing to this decline and devise targeted interventions for its improvement. In the context of substance use, it is essential to ascertain whether the initially high levels are a result of coping with the cancer diagnosis or represent a turning point at which patients modify their behaviors and cease their addiction. A more thorough understanding of this phenomenon would enhance the effectiveness of precisely focused interventions.

Factors associated with increased risk of playing-related disorders among classical music students within the Risk of Music Students (RISMUS) longitudinal study

Playing-related musculoskeletal disorders (PRMDs) are common among musicians but longitudinal data on risk factors are limited. The aim of the study was to longitudinally identify the factors associated with increased risk of PRMD onset among music students enrolled in different pan-European music institutions. A further goal was to assess the occurrence of PRMDs during a 12-month period. A total of 442 students without PRMDs from 56 European music universities completed a web-based questionnaire on lifestyle and practice habits, health history, physical activity, psychological distress, perfectionism, and fatigue. PRMD onset was assessed prospectively at 6 and 12 months. Logistic regression analysis showed that changes in physical activity level (6-month AOR = 2.343, 12-month AOR = 2.346), increased levels of fatigue (6-month AOR = 1.084, 12-month AOR = 1.081) and socially-prescribed perfectionism (6-month AOR = 1.102) were significantly associated with PRMD onset, which had occurred in 49% of participants during 12 months. Musculoskeletal complaints reported at baseline (6-month AOR = 0.145, 12-month AOR = 0.441) and changes to BMI (12-month AOR = 0.663) limited the onset of PRMDs. The study’s novel longitudinal findings were appraised critically within the contexts of potential factors for PRMD onset and evidence-based preventive strategies to minimise the impact of PRMDs.