Prospective Association Between 24-Hour Movement Behaviors and Fundamental Movement Skills in Chinese Preschoolers During the COVID-19 Pandemic: A Compositional and Reallocation Analysis.

BACKGROUND: This prospective observation study explored the association between 24-hour movement behaviors and fundamental movement skills (FMS) in Chinese preschoolers during the COVID-19 pandemic. METHODS: Four hundred and eighteen preschoolers (226 males; 4.0 [0.6] y old) from Zhuhai, China, completed the device-based physical activity (PA) and sedentary behavior measures, and sleep duration was reported by parents at baseline (October 2021 to December 2021). FMS was assessed using the Test of Gross Motor Development: Third Edition at 1-year follow-up (October 2022 to December 2022). The compositional analysis and isotemporal substitution were used. RESULTS: Moderate to vigorous PA (MVPA) was positively associated with locomotor skills and ball skills (P < .05), and light physical activity was negatively associated with locomotor skills (P < .05) during the COVID-19 pandemic. FMS improvements were linked to the addition of MVPA at the expense of light physical activity, sedentary behavior, and sleep. The estimated detriments to FMS were larger in magnitude than the estimated benefits of time reallocation from MVPA to light physical activity, sedentary behavior, and sleep. CONCLUSIONS: This study provides evidence about 24-hour movement behaviors and FMS during the COVID-19 pandemic and highlights the importance of participating in MVPA to improve preschoolers' FMS development during the COVID-19 era.

Cross-Sectional Assessment of Nutritional Status, Dietary Intake, and Physical Activity Levels in Children (6-9 Years) in Valencia (Spain) Using Nutrimetry.

The aims of this research were to evaluate the current nutritional status, dietary intake, and level of physical activity and assess the need for intervention. This was a cross-sectional study with 2724 participating children aged 6-9 years old. Nutritional status was assessed using nutrimetry, dietary intake with a 3-day food-recall questionnaire and physical activity with an ad hoc questionnaire. The nutricode with the highest prevalence was healthy weight/normal stature, with 51.3% of the sample. For the BMI for age Z-score, those in the overweight/obesity category represented 37.5% of the sample, while the thinness category included 7.6%. Intake of calories, proteins, sugar, lipids, SFA, MUFA, and cholesterol were significantly higher than recommended. The thinness groups consumed a significantly higher amount of excess calories while the overweight/obesity groups had the lowest mean excess calorie intake. Children in the thinness category presented the highest rates at both ends of the spectrum for sedentary activities. This study showed the high prevalence of malnutrition in schoolchildren. The results for the risk of thinness and overweight/obesity according to individual nutrient intake should be carefully interpreted. Lifestyle is a fundamental aspect to consider when combating malnutrition, especially at the level of dietary and physical activity habits, to combine various methods of intervention to improve nutritional status.

Causal associations of physical activity and leisure sedentary behaviors with age at onset of Huntington's disease: A mendelian randomization study.

BACKGROUND: Huntington's disease (HD) is a neurodegenerative disorder for which effective therapies are currently lacking. Studies suggest that increasing physical activity (PA) and reducing leisure sedentary behavior (LSB) mitigate the progression of HD, but their causal relationship with the age at onset (AAO) of HD remains uncertain. To investigate this, we conducted the Two-sample Mendelian Randomization (MR). METHODS: Exposure were retrieved from the UK BioBank's (UKB) Genome-Wide Association Study (GWAS). PA included accelerometer-based average PA, vigorous PA, self-reported moderate-to-vigorous PA (MVPA), and light do-it-yourself activity. LSB included television (TV) time, computer time, and driving time. Outcome came from the GWAS of the GEM-HD Consortium. We applied several MR methods such as inverse variance weighted (IVW), MR-Egger regression, weighted median (WM) for sensitivity analysis. RESULTS: Increases in light PA (ß = 8.53 years, 95 % CI = 10.64 to 44.09, P = 0.001) and accelerometer-based vigorous PA (ß = 5.18, 95 % CI = 0.92 to 9.43, P = 0.017) delayed AAO of HD, while longer TV time was associated with earlier AAO of HD (ß = -2.88 years, 95 % CI = -4.99 to -0.77, P = 0.007). However, other PA and LSB phenotypes did not significantly affect AAO of HD. CONCLUSION: The study revealed a unidirectional causality between PA, LSB and the AAO of HD. Increasing PA and reducing TV time delay HD onset. Therefore, we recommend increasing physical activity and reducing sedentary behavior to delay the occurrence of motor symptoms for premanifest HD individuals.

The causality between leisure sedentary behaviors, physical activity and obstructive sleep apnea: a bidirectional Mendelian randomization study.

Background: Previous observational studies have shown a correlation between leisure sedentary behaviors (LSB) and physical activity (PA) with the incidence of obstructive sleep apnea (OSA). However, the causal associations remain unknown. Therefore, our study used bidirectional two-sample Mendelian randomization (MR) to identify potential causal relationships between LSB/PA and OSA. Methods: We sourced genetic variation data for LSB and PA from the UK Biobank, while data on OSA were collected from the FinnGen study. The primary analysis method employed was the inverse variance weighted (IVW) approach, complemented by the weighted median and MR-Egger methods. For sensitivity analyses, we conducted Cochran's Q test, the MR-Egger intercept test, the MR-PRESSO global test, and the leave-one-out analysis. Results: IVW analyses showed that genetically predicted leisure television watching (odds ratio [OR] = 1.38, 95% confidence interval [CI] = 1.09-1.75, p = 0.007) and computer use (OR = 1.48, 95% CI = 1.15-1.92, p = 0.002) significantly increased the risk of OSA. Conversely, self-reported vigorous physical activity (VPA) (OR = 0.33, 95% CI = 0.11-0.98, p = 0.046) may reduce the risk of OSA. No causal effects on OSA risk were observed for driving or self-reported moderate-to-vigorous physical activity. Furthermore, the reverse MR analysis indicated no significant causal relationship between OSA and any LSB/PA phenotype. Sensitivity tests showed no significant heterogeneity or horizontal pleiotropy. Conclusion: This study suggests that leisurely television watching and computer use are risk factors for OSA, while VPA may be a protective factor. Additionally, OSA does not affect PA or LSB levels. We recommend reducing sedentary activities, particularly television watching and computer use, and prioritizing VPA to reduce the risk of OSA. Further research in diverse populations and settings is needed to validate these findings.

Association of Physical Activity and Sleep Metrics with Depression in People with Type 1 Diabetes.

Objective: This study aimed to investigate the association of physical activity and sleep metrics, measured via wrist-worn accelerometers, with depression in people with type 1 diabetes. Patients and Methods: People with type 1 diabetes were recruited from the Dasman Diabetes Institute in Kuwait and were invited to wear a wrist-worn accelerometer device for 7 days. Mean physical activity (overall acceleration), inactivity, light activity, moderate activity, vigorous activity, the distribution of physical activity intensity (intensity gradient), sleep duration and sleep efficiency were quantified from the accelerometer data. The associations of these metrics with depression were investigated using multiple linear regression. Results: A total of 551 people with type 1 diabetes (age 33.1 (9.5) years) were included. Overall physical activity (B = -0.09, CI = -0.14 to -0.04), moderate intensity activity (B = -0.02, CI = -0.02 to -0.01), vigorous intensity activity (B = -0.16, CI = -0.27 to -0.05), and the intensity gradient (B = -2.11, CI = -3.51 to -0.72) were negatively associated with depression score (p < 0.01) and these associations remain significant even after adjustment for age, sex, diabetes duration, and BMI. However, sleep duration and efficiency were not associated with depression. After mutual adjustment overall physical activity (B = -0.07, CI = -0.12 to -0.01), but not the intensity gradient (B = -0.90, CI = -2.47 to 0.68), remained associated with depression. Conclusion: Overall, moderate and vigorous physical activity, and the intensity gradient were associated with lower symptoms of depression. Overall physical activity, rather than the distribution of activity intensity, appears more important in depression. This information can help guide physical activity interventions to improve depression in people with type 1 diabetes.

Seasonal differences in physical activity, sedentary behaviour, and sleep patterns in people with type 1 diabetes in Kuwait.

AIMS: The main aim of the current study was to measure physical activity, sedentary behaviors and sleep levels across the different seasons in people with type 1 diabetes in Kuwait. METHODS: A prospective cross-sectional study was conducted from August 2021 to September 2022. Physical activity and sleep metrics were measured over a 7-day period with a wrist-worn accelerometer (GENEActiv). Overall physical activity was measured as a Euclidean Norm Minus One in milli gravitational units (mg). Accelerometer metrics were compared across the seasons and between the sex. RESULTS: A total of 784 people with type 1 diabetes participated. Mean daily physical activity was 25.2 mg (SD = 7.3). Seasonal differences were seen in overall physical activity (p = 0.05), inactivity (p = 0.04), light activity (p = 0.001), the intensity gradient (p = 0.001) and sleep efficiency (p = 0.02). Poorer metrics were generally seen in Spring and Summer. Overall physical activity, moderate and vigorous physical activity, and inactivity were significantly higher in males compared to females (p ≤ 0.02). Females had a longer sleeping duration (p = 0.02), and higher sleep efficiency (p = 0.04) and light physical activity (p = 0.01). Overall physical activity and the intensity gradient were negatively associated with HbA1c (both p = 0.01). CONCLUSIONS: Physical activity levels were generally low and sleep poor in people with type 1 diabetes in Kuwait and these varied by sex and season. The current data are useful to target and develop interventions to improve physical activity and glycemic control.

A Machine Learning Model for Predicting Sleep and Wakefulness Based on Accelerometry, Skin Temperature and Contextual Information.

Purpose: Body-worn accelerometers are commonly used to estimate sleep duration in population-based studies. However, since accelerometry-based sleep/wake-scoring relies on detecting body movements, the prediction of sleep duration remains a challenge. The aim was to develop and evaluate the performance of a machine learning (ML) model to predict accelerometry-based sleep duration and to explore if this prediction can be improved by adding skin temperature data, circadian rhythm based on the estimated midpoint of sleep, and cyclic time features to the model. Patients and Methods: Twenty-nine adults (17 females), mean (SD) age 40.2 (15.0) years (range 17-70) participated in the study. Overnight polysomnography (PSG) was recorded in a sleep laboratory or at home along with body movement by two accelerometers with an embedded skin temperature sensor (AX3, Axivity, UK) positioned at the low back and thigh. The PSG scoring of sleep/wake was used as ground truth for training the ML model. Results: Based on pure accelerometer data input to the ML model, the specificity and sensitivity for predicting sleep/wake was 0.52 (SD 0.24) and 0.95 (SD 0.03), respectively. Adding skin temperature data and contextual information to the ML model improved the specificity to 0.72 (SD 0.20), while sensitivity remained unchanged at 0.95 (SD 0.05). Correspondingly, sleep overestimation was reduced from 54 min (228 min, limits of agreement range [LoAR]) to 19 min (154 min LoAR). Conclusion: An ML model can predict sleep/wake periods with excellent sensitivity and moderate specificity based on a dual-accelerometer set-up when adding skin temperature data and contextual information to the model.

Associations of sedentary behaviors with mental health outcomes in a cohort of patients with minor ischemic stroke.

OBJECTIVE: The relationship between sedentary behaviors and functional outcomes of acute ischemic stroke (AIS) has been previously reported. However, it remains unclear whether sedentary behaviors are associated with mental health outcomes in AIS patients. Therefore, the objective of this study was to investigate the mental health outcomes in patients with minor AIS one year after stroke onset. METHODS: This cross-sectional study recruited 1230 patients with minor AIS (NIHSS ≤ 5) from three hospitals in China. One year after discharge, patients were interviewed using face-to-face questionnaires, including the PHQ-9, GAD-7, and ISI, to assess symptoms of depression, anxiety, and insomnia, respectively. Participants were categorized into the long sedentary time group and the short sedentary time group based on the median sedentary time of all participants. The associations between leisure sedentary time and mental health outcomes were investigated. RESULTS: Participants with a long leisure sedentary time had higher PHQ-9, GAD-7, and ISI scores than those with a short sedentary time. Longer sedentary time was associated with an increased risk of experiencing symptoms of major depression (RR, 95% CI: 1.79, 1.47 to 2.18), anxiety (RR, 95% CI: 3.28, 2.08 to 5.18), and insomnia (RR, 95% CI: 2.58, 2.03 to 3.28) one year after a minor AIS. CONCLUSION: Excessive sedentary time is associated with long-term mental health conditions after stroke. Therefore, reducing the sedentary time might be helpful for preventing poststroke depression, anxiety, and insomnia.

Titration of sedentary behavior with varying physical activity levels reduces mortality in patients with type 2 diabetes.

CONTEXT: Both physical activity (PA) and sedentary behavior (SB) exert important impact on type 2 diabetes, but it remains unclear how maximum impact on improving the mortality and optimized proportion of the two lifestyles combination exists. OBJECTIVE: To explore the impacts of PA/SB combinations on mortality in patients with diabetes. METHODS: Patients with type 2 diabetes patients samplings were collected from the National Health and Nutrition Examination Survey (NHANES) dataset. Their lifestyles were categorized into eight groups based on combinations of the PA and SB levels. Cox proportional hazards models were used to calculate hazard ratios and 95% confidence intervals. RESULTS: During the follow-up period, 1,148 deaths (18.94%) were recorded. High SB (sedentary time ≥6 hours/day) was significantly associated with higher all-cause mortality (HR 1.65). In participants with low SB (<6 hours/day), low PA was associated with lower all-cause mortality (HR 0.43), while further increase of PA level did not show further reduction in either all-cause or cardiovascular mortality. In contrast, in participants with high SB，all levels of PA were associated with lower all-cause mortality (p<0.05), but only moderate PA was associated with lower cardiovascular mortality (HR 0.30). CONCLUSIONS: In patients with type 2 diabetes, different combinations of various levels of PA and SB are associated with different degree of risk for all-cause or cardiovascular mortality.

Feasibility and acceptability of a cohort study baseline data collection of device-measured physical behaviors and cardiometabolic health in Saudi Arabia: expanding the Prospective Physical Activity, Sitting and Sleep consortium (ProPASS) in the Middle East.

BACKGROUND: Physical behaviors such physical activity, sedentary behavior, and sleep are associated with mortality, but there is a lack of epidemiological data and knowledge using device-measured physical behaviors. PURPOSE: To assess the feasibility of baseline data collection using the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) protocols in the specific context of Saudi Arabia. ProPASS is a recently developed global platform for collaborative research that aims to harmonize retrospective and prospective data on device-measured behaviors and health. Using ProPASS methods for collecting data to perform such studies in Saudi Arabia will provide standardized data from underrepresented countries. METHOD: This study explored the feasibility of baseline data collection in Saudi Arabia between November and December 2022 with a target recruitment of 50 participants aged ≥ 30 years. Established ProPASS methods were used to measure anthropometrics, measure blood pressure, collect blood samples, carry out physical function test, and measure health status and context of physical behaviors using questionnaires. The ActivPal™ device was used to assess physical behaviors and the participants were asked to attend two sessions at (LHRC). The feasibility of the current study was assessed by evaluating recruitment capability, acceptability, suitability of study procedures, and resources and abilities to manage and implement the study. Exit interviews were conducted with all participants. RESULT: A total of 75 participants expressed an interest in the study, out of whom 54 initially agreed to participate. Ultimately, 48 participants were recruited in the study (recruitment rate: 64%). The study completion rate was 87.5% of the recruited participants; 95% participants were satisfied with their participation in the study and 90% reported no negative feelings related to participating in the study. One participant reported experiencing moderate skin irritation related to placement of the accelerometer. Additionally, 96% of participants expressed their willingness to participate in the study again. CONCLUSION: Based on successful methodology, data collection results, and participants' acceptability, the ProPASS protocols are feasible to administer in Saudi Arabia. These findings are promising for establishing a prospective cohort in Saudi Arabia.

The Impact of the COVID-19 Pandemic and a Physical Therapy Program on Students' Health Outcomes.

The COVID-19 pandemic affected many aspects of everyday life including school, fitness regimens, and social interactions. The purpose of this study is to understand how COVID-19 restrictions affect the cardiovascular and mental health of Doctor of Physical Therapy (DPT) students as they progressed through the program. Data collection occurred in 16 DPT students (8F:8M, 24±3 years) over a total of 3 visits from 2020 to 2022, during high, moderate, and low COVID-19 restrictions. Outcome measures included VO2max, Venous Occlusion Plethysmography (VOP), %fat mass measured via DEXA, Perceived Stress Scale (PSS) and International Physical Activity Questionnaire (IPAQ). A RM-ANOVA with pairwise comparisons was utilized. Significance was set prior at an α level of 0.05. There was a significant increase (p<0.05) from visit 1 to 2 in VO2max, VOP baseline, BMI, and METs. There was a significant decrease (p<0.05) from visit 2 to 3 in VO2max. Finally, a significant increase in visit 3 was seen from visit 2 in VOP peak. Overall, there was no significant difference observed for PSS and %fat mass (p>0.05). Between high and moderate restrictions, there was an increase in VO2max, VOP baseline, and METs. However, between moderate and low restrictions, only VOP Peak increased. This could be attributed to gyms being closed and limiting the type of physical activity a person could do to exercises like running or walking. When restrictions were lifted, traveling to and from classes, traveling to gyms, and socializing all increased, limiting the time for physical activity.

Weight misperception and weight-related behaviors in non-Hispanic Black youth.

Current literature is conflicting regarding whether accurate weight perception encourages healthy weight-related behaviors. This study examined the prevalence of weight misperception and explored associations between weight misperception and weight-related behaviors among 353 Black adolescents in Broward County, Florida. Overall, 44.8% of participants misperceived their weight, with boys more often misperceiving their weight than girls (52.2% vs 40.2%). Students who misperceived their weight were more likely to try to lose weight but less likely to be adequately physically active. Adolescents who underestimated their weight were less likely to be physically active and excessively play video or computer games or use a computer. There was no association between weight misperception and daily physical education attendance or excessive television watching. Weight misperception appears to be a risk factor for obesity in adolescents, as weight misperception was associated with lower engagement in physical activity.

A Mendelian randomization-based study of the causal relationship between leisure sedentary behavior and delirium.

BACKGROUND: Delirium is an acute or subacute change in mental status caused by various factors. We evaluated the causal relationship between leisure sedentary behaviors (LSBs) and delirium. METHODS: A two-sample Mendelian randomization (MR) study was performed to evaluate the causal relationship between sedentary behaviors (time spent watching television, time spent using computer, and time spent driving) and delirium. Statistical information for the associations between single nucleotide polymorphisms (SNPs) and the traits of interest was obtained from independent consortia that focused on European populations. The dataset for LSBs was acquired from genome-wide association studies (GWAS) comprising a substantial sample size: 437887 samples for time spent watching television, 360,895 for time spent using computer, and 310,555 for time spent driving. A GWAS with 1269 delirium cases and 209,487 controls was used to identify genetic variation underlying the time of LSBs. We used five complementary MR methods, including inverse variance weighted method (IVW), MR-Egger, weighted median, weighted mode, and simple mode. RESULTS: Genetically predicted time spent watching television (odds ratio [OR]: 2.921, 95 % confidence interval [CI]: 1.381-6.179) demonstrated significant association with delirium (P = 0.005), whereas no significant associations were observed between time spent using computer (OR: 0.556, 95 % CI: 0.246-1.257, P = 0.158) and time spent driving (OR: 1.747, 95 % CI: 0.09-3. 40, P = 0.713) and delirium. Sensitivity analyses supported a causal interpretation, with limited evidence of significant bias from genetic pleiotropy. Moreover, our MR assumptions appeared to be upheld, enhancing the credibility of our conclusions. LIMITATIONS: Larger sample sizes are needed to validate the findings of our study. CONCLUSION: Time spent watching television is a significant risk factor for delirium. Reducing television time may be an important intervention for those at higher risk of delirium.

Exploring the link between walking and lung cancer risk: a two-stage Mendelian randomization analysis.

BACKGROUND: Previous observational research showed a potential link between physical activities such as walking and the risk of lung cancer. However, Mendelian randomization (MR) studies suggested there was no association between moderate to vigorous physical activity and lung cancer risk. We speculated that specific physical activities may be associated with lung cancer risk. Consequently, we conducted an MR study to examine the potential relationship between walking and the risk of lung cancer. METHODS: We collected genetic summary data from UK Biobank. After excluding SNPs with F values less than 10 and those associated with confounding factors, we conducted a MR analysis to assess the causal effects between different types of walk and lung cancer. We also performed sensitivity analysis to validate the robustness of our findings. Finally, we analyzed the possible mediators. RESULTS: MR analysis showed number of days/week walked for 10 + minutes was associated with a reduced risk of lung cancer risk (OR = 0.993, 95% CI = 0.987-0.998, P = 0.009). Additionally, usual walking pace was identified as a potentially significant factor in lowering the risk (OR = 0.989, 95% CI = 0.980-0.998, P = 0.015). However, duration of walks alone did not show a significant association with lung cancer risk (OR = 0.991, 95%CI = 0.977-1.005, P = 0.216). The sensitivity analysis confirmed the robustness of these findings. And number of days/week walked for 10 + minutes could affect fed-up feelings and then lung cancer risk. There was a bidirectional relationship between usual walking pace and sedentary behaviors (time spent watching TV). CONCLUSION: The study unveiled a genetically predicted causal relationship between number of days/week walked for 10 + minutes, usual walking pace, and the risk of lung cancer. The exploration of potential mediators of walking phenotypes and their impact on lung cancer risk suggests that specific physical activities may reduce the risk of lung cancer.

Obesity and Preventive Intervention Among Children: A Narrative Review.

Childhood obesity has become a major public health concern around the world, with a rise in prevalence over the last few decades. This abstract provides an overview of pediatric obesity, including its causes, implications, and potential treatments. Childhood obesity is caused by a complex combination of environmental, genetic, and behavioral variables. A child's likelihood of developing obesity is influenced by factors, such as socioeconomic status, family dynamics, and cultural norms. Childhood obesity leads to extensive repercussions, elevating the risk of chronic conditions, such as diabetes, cardiovascular diseases, and mental health challenges. Furthermore, children dealing with obesity often face social stigmatization, diminished self-esteem, and academic struggles. Efforts to prevent and manage childhood obesity should employ a comprehensive and multi-tiered approach. This involves enacting policies geared toward enhancing nutrition in schools and communities, advocating for increased physical activity (PA), and curbing sedentary behaviors.

Sedentary Behaviors and Eating Habits in Active and Inactive Individuals: A Cross-Sectional Study in a Population from Southern Italy.

The aim of this study was to analyze sedentary behaviors and dietary habits assumed by individuals regularly practicing exercise in a gym, sports athletes and inactive individuals. The Sedentary Behavior Questionnaire and the Healthy Dietary Habits Index were administered online to evaluate the time spent in sedentary activities during the week and the habits of food consumption among adult individuals from the Campania region, in the south of Italy. Of the 411 participants, 25% were inactive, 34% were gym practitioners and 41% practiced different sport disciplines. Significant differences were found for sedentary habits adopted during the week and diets between athletes and inactive participants. However, no significant differences were observed for sedentary activities on the weekend and some sedentary behaviors such as video gaming or working/studying during the week. With regard to diet, athletes showed healthier food choices, such as fruit and vegetable consumption. The findings of this study underline the need for enhancing the awareness of the local population regarding the detrimental effects of unhealthy dietary behaviors and sedentary time, especially but not exclusively among inactive individuals.

Physical activity-related individual differences in functional human connectome are linked to fluid intelligence in older adults.

The study examined resting state functional connectivity (rs-FC) associated with moderate-to-vigorous physical activity (MV-PA), sedentary time (ST), TV viewing, computer use, and their relationship to cognitive performance in older adults. We used pre-intervention data from 119 participants from the Fit & Active Seniors trial. Multivariate pattern analysis revealed two seeds associated with MV-PA: right superior frontal gyrus (SFG; spanning frontoparietal [FPN] and ventral attention networks [VAN]) and right precentral (PrG) and postcentral gyri (PoG) of the somatosensory network (SN). A positive correlation between the right SFG seed and a cluster spanning default mode (DMN), dorsal attention (DAN), FPN, and visual networks (VIS) was linked to higher fluid intelligence, as was FC between the right PrG/PoG seed and a cluster in VIS. No significant rs-FC patterns associated with ST, TV viewing, or computer use were found. Our findings suggest that greater functional integration within networks implementing top-down control and within those supporting visuospatial abilities, paired with segregation between networks critical and those not critical to top-down control, may help promote cognitive reserve in more physically active seniors.

Potential causal associations between leisure sedentary behaviors, physical activity, sleep traits, and myopia: a Mendelian randomization study.

BACKGROUND: Myopia is the most prevalent refractive error and a growing global health concern that significantly affects visual function. Researchers have recently emphasized considerably on the influence of lifestyle on myopia incidence and development. This study investigates the relationship between leisure sedentary behaviors (LSB)/physical activity (PA)/sleep traits and myopia. METHODS: LSB, PA, and sleep trait-associated genetic variants were used as instrument variables in a Mendelian randomization (MR) study to examine their causal effects on myopia. Summary genome-wide association studies (GWASs) statistical data for LSB and PA were obtained from UK Biobank, and the data of sleep traits was obtained from UK Biobank, UK Biobank and 23andMe, and FinnGen. We used summary statistics data for myopia from MRC IEU. The MR analyses was performed using the inverse variance-weighted (IVW), MR-Egger, weighted median, and MR Pleiotropy RESidual Sum and Outlier methods. RESULTS: Computer use was genetically predicted to increase the myopia risk [IVW odds ratio (OR) = 1.057; 95% confidence interval (CI), 1.038-1.078; P = 7.04 × 10- 9]. The self-reported moderate-to-vigorous physical activity (MVPA) (IVW OR = 0.962; 95% CI, 0.932-0.993; P = 1.57 × 10- 2) and television watching (IVW OR = 0.973; 95% CI, 0.961-0.985, P = 1.93 × 10- 5) were significantly associated with a lower myopia risk. However, genetically predicted sleep traits or accelerometer-measured physical activity had no significant associations with myopia. CONCLUSION: Our results indicated that computer use is a risk factor for myopia, whereas television watching and MVPA may protect against myopia. These findings shed new light on possible strategies for reducing the prevalence of myopia.

Effectiveness of eHealth Interventions Promoting Physical Activity in Children and Adolescents: Systematic Review and Meta-Analysis.

BACKGROUND: eHealth interventions have been postulated as a feasible, acceptable, and possibly effective tool to promote physical activity (PA) among children and adolescents; however, a comprehensive quantitative analysis of the effects of eHealth interventions promoting PA is lacking. OBJECTIVE: This study aims to conduct a systematic review and meta-analysis on experimental studies reporting the effects of eHealth interventions aimed at promoting PA on PA parameters and sedentary behavior parameters in children and adolescents. METHODS: The CENTRAL, MEDLINE, Embase, and Web of Science databases were searched from inception to February 2022 for randomized controlled trials that analyzed the effects of eHealth interventions aimed at promoting PA on PA and sedentary parameters in children and adolescents. The Hartung-Knapp-Sidik-Jonkman random effects method was used to determine the mean differences (MDs) with their respective 95% CIs. The risk of bias was assessed using the Risk of Bias 2 (RoB2; Cochrane) tool and its extension for cluster randomized controlled trials. The certainty of evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool. RESULTS: A total of 20 trials reporting the effects of different eHealth interventions aimed at promoting PA were included. Results for each parameter were as follows: counts per minute (MD -16.11 counts, 95% CI -122.76 to 90.53; k=3; n=402; I2=69%; favoring control), steps per day (MD 593.46 steps, 95% CI -2102.27 to 3289.19; k=2; n=152; I2=0%; favoring intervention [FI]), moderate to vigorous PA (MD -1.99 min/d, 95% CI -8.95 to 4.96; k=14; n=2336; I2=86%; favoring control), light PA (MD 3.28 min/d, 95% CI -15.48 to 22.04; k=5; n=355; I2=67%; FI), screen time (MD -31.48 min/d, 95% CI -68.62 to 5.65; k=5; n=904; I2=0%; FI), and sedentary time (MD -33.12 min/d, 95% CI -57.27 to -8.97; k=8; n=819; I2=75%; FI). Our results should be interpreted cautiously because of important limitations such as the scarcity of evidence, overall risk of bias, and low to very low certainty of evidence. CONCLUSIONS: We did not find conclusive evidence regarding the impact of PA-targeted eHealth interventions on PA parameters, but the very low certainty of evidence suggests that eHealth interventions may reduce sedentary time in children and adolescents. Our results may have important scientific implications as they highlight that the rapid development of eHealth interventions to promote PA lacks robust supporting evidence. TRIAL REGISTRATION: PROSPERO CRD42020211020; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=211020.

Association between leisure sedentary behaviors and hypertension risk: A prospective cohort study and two-sample Mendelian randomization analysis in Europeans.

OBJECTIVE: This study aimed to investigate the potential causal relationship between domain-specific sedentary behaviors (including television watching, computer use, and driving) and hypertension risk in European populations. METHODS: Initially, we conducted a multivariable Cox regression analysis to evaluate the associations between domain-specific sedentary behaviors and the risk of developing hypertension using data from 261,829 hypertension-free participants in the UK Biobank. To validate the findings of observational analysis, we employed two-sample univariable mendelian randomization (UVMR) analysis utilizing summary statistics from genome-wide association study conducted on European populations. We then performed multivariable mendelian randomization (MVMR) analysis to account for the influence of the risk factors for hypertension. RESULTS: In this prospective observational analysis, individuals who spent >3 h per day watching television had significantly higher risk of developing hypertension (HR = 1.24, 95% CI: 1.20-1.29, P < 0.001) compared to those who watched television for 0-1 h per day. The mendelian randomization analysis provided consistent evidence for a causal relationship between prolonged television watching time and hypertension risk (OR = 1.45, 95% CI: 1.25-1.69, P < 0.001; all PMVMR < 0.05) in both UVMR and MVMR results. No significant associations were found between computer use, driving behaviors and the risk of hypertension in either the observational or UVMR/MVMR analyses. CONCLUSIONS: These findings provide evidence for a causal effect specifically linking higher television watching time to an increased risk of hypertension and indicate the potential effectiveness of reducing television viewing time as a preventive measure to mitigate the risk of hypertension.