screen-based sedentary behavior

PURPOSE: The study aims to explore the relationship and potential mechanisms between screen time and anxiety and have a clear understanding of the role of negative emotions and emotion regulation, thus providing guidance for Chinese college students to improve mental health. METHODS: We conducted a questionnaire survey by selecting 1721 academic college students from 6 colleges and universities in 5 provinces in China, and the data were analyzed through the Process program of SPSS for mediating effect and moderating effect...

PURPOSE: The purpose of this study was to examine the relationships between academic engagement and moderate-to-vigorous physical activity (MVPA), muscle-strengthening exercise (MSE) and sedentary behavior (SB) among adolescents, so as to provide evidence from the perspective of exercising for students to learn efficiently, teachers to improve classroom teaching, and schools to improve educational quality. METHODS: A questionnaire survey was conducted in 12 junior high schools in Shanghai, China, which were selected by a multi-stage stratified cluster sampling method...

BACKGROUND: 24-h movement behaviors, including light physical activity (LPA), moderate-to-vigorous physical activity (MVPA), screen-based sedentary behavior (SSB), non-screen-based sedentary behavior (NSB) and sleep are crucial components affecting mental health. This study aimed to examine the associations of movement behaviors with mental health outcomes among overweight/obese college students using a compositional data analysis approach. METHODS: Using a prospective design, 437 Chinese college students (20...

OBJECTIVE: To investigate the independent and combined effects of lifestyle behaviors, including physical activity, sedentary behavior, sleep duration and food intake, in the health-related quality of life (HRQoL) of Brazilian adolescents. METHODS: Cross-sectional school-based study, with the participation of 306 adolescents aged 14 to 18 years. A questionnaire was applied with structured questions to collect lifestyle behaviors data. Perception of the HRQoL was identified using the Kidscreen-27...

BACKGROUND: Growing evidence supports an association between physical activity (PA) and the risk of osteoarthritis (OA), but this may be influenced by confounding and reverse causality. Therefore, we performed a two-sample Mendelian randomization (MR) analysis to reveal the causal relationship between PA and OA. METHODS: MR was performed to explore the causation of PA and OA with genetic variants as instrumental variables. The genetic variants were derived from the summary statistics of a large genome-wide association study meta-analysis based on the European population (n = 661,399), including self-reported leisure screen time (LST) and moderate-to-vigorous physical activity (MVPA), and Arthritis Research UK Osteoarthritis Genetics Consortium cohorts (417,596, 393,873 and 403,124 for overall, hip and knee OA, respectively)...

OBJECTIVE: To investigate the association between time spent on screen-based sedentary behavior (SBSB) and depression symptom severity (DSS) among adults with type 2 diabetes. METHODS: A cross-sectional study employing secondary data collected by Qatar Biobank (QBB) on 2386 adults with type 2 diabetes aged ≥ 18 years. Self-reported data on DSS measured using the Patient Health Quationnaire-9 and daily time spent on SBSB per week was used. RESULTS: After adjusting for covariates, including physical activity and sleep duration, subjects who spent 2-4 h or > 4 h a day on SBSB watching TV or other devices other than computers during weekdays had increased odds of higher DSS than subjects who spent < 1 h by 44% (95% Confidence interval (CI) 13-83%) and 52% (95% CI 17-96%), respectively...

BACKGROUND: The intake of unhealthy food taken on very regular basis may bring even further negative impact on health if associated with excessive time using of screen-based electronic devices. OBJECTIVE: To estimate the association between the use of different types of screen-based devices and the intake of unhealthy foods amongst children and adolescents and to determine whether daily physical activity (DPA) has a moderating effect on the association. METHODS: Cross-sectional study carried out with a probabilistic sample of students from second to fifth grade of public elementary schools in Feira de Santana, Bahia (n = 2,477; girls: 53...

INTRODUCTION: Time spent on screen-based sedentary activities is significantly associated with dementia risk, however, whether the associations vary by family history (FHx) of dementia is currently unknown. We aimed to examine independent associations of two prevalent types of screen-based sedentary activities (television [TV] viewing and computer use) with dementia and assess the modifying effect of FHx. METHODS: We included 415,048 individuals free of dementia from the UK Biobank...

Excessive sedentary behavior (SB) contributes to poor affective and physical feeling states, which is particularly concerning for older adults who are the most sedentary sector of the population. Specific types of SB have been shown to differentially impact health in cross-sectional and longitudinal studies, with screen-based SB more negatively impacting aspects of mental health. This study used Ecological Momentary Assessment (EMA), a real-time, intensive longitudinal data capture methodology, to examine the differential impact of screen-based behaviors on momentary affective responses during SB in naturalistic settings...

This longitudinal study aimed to examine how physical activity parenting (PAP) directly predicted objectively measured children's moderate-to-vigorous physical activity (MVPA) and sedentariness over a three-year transitional period from early to middle childhood, and second, whether the children's perception of motor competence (PMC) mediated or moderated the influence of PAP to children's MVPA or sedentariness. At time 1 (T1), PAP and children's (N = 396, mean age 5.80, SD 1.04) PA were assessed by parental questionnaire...

OBJECTIVE: The COVID-19 pandemic has caused serious consequences for global health and economy. The important question is whether the level of physical activity might influence the risk of COVID-19 incidence or clinical outcomes, including the severity or mortality of infected patients. The objective of this systematic review and meta-analysis is to evaluate the association between sufficient physical activity and incidence, hospitalization, severity, recovery, and mortality of COVID-19...

The aim of this article is to summarize the results of the 2022 Estonian Physical Activity Report Card across 10 indicators based on available scientific data and national databases, and, additionally, to compare the current results with previous Report Card results. A national expert panel, consisting of research and policy experts, identified the available sources and synthesized as well as graded relevant data related to the physical activity (PA) of Estonian children and youth. Grade B was assigned to Organized Sports and Physical Activity (B-), Community and Environment (B+), and Government (B)...

INTRODUCTION: The development of children's healthy and active lifestyles, including habit formation for optimal 24-hour movement behaviour, is associated with their family environment. A whole-family study collecting comprehensive data that can evaluate family lifestyle behaviours in different settings in depth has the potential to provide the evidence-based information needed for national guidelines, for designing interventions and for supporting policy-makers' decisions. METHODS AND ANALYSIS: The FAMIly Physical Activity, Sedentary behaviour and Sleep (FAMIPASS) study is a nationally representative cross-sectional study that will recruit 500 families (with at least 1 child aged between 3 and 8 years) from the urban and rural parts of all three regions of the Czech Republic...

BACKGROUND: Movement behaviours (physical activity, sedentary behaviour, and sleep) are important for pre-school children's health and development. Currently, no tools with appropriate content validity exist that concurrently capture these movement behaviours in young children. The aim of this study was to co-design and assess the content validity of a novel tool to concurrently measure movement behaviours in pre-school aged children (aged 3-4 years). METHODS: We followed four distinct steps to develop and assess the content validity of Movement Measurement in the Early Years (MoveMEY): (1) We conducted an extensive literature search, to identify pre-existing proxy measurement tools (questionnaires and diaries) to inform the design of a novel tool, which aimed to effectively capture movement behaviour guidelines of pre-school aged children...

OBJECTIVE: This systematic review aimed to determine which interventions increase physical activity (PA) and decrease sedentary behavior (SB) based on objective measures of movement behavior in individuals with stroke. DATA SOURCES: The PubMed (Medline), EMBASE, Scopus, CINAHL (EBSCO), and Web of Science databases were searched for articles published up to January 3, 2023. STUDY SELECTION: The StArt 3.0.3 BETA software was used to screen titles, abstracts, and full texts for studies with randomized controlled trial designs; individuals with stroke (≥18 years of age); interventions aimed at increasing PA or decreasing SB; and objective measurement instruments...

BACKGROUND: Esports players are often referred to as sedentary athletes, as gaming requires prolonged sedentary screen exposure. As sedentary behavior and physical inactivity are major causes of noncommunicable diseases and premature death, esports players may be at an increased risk for health implications. Prior research has established esports players as having higher levels of body fat and lower levels of lean body mass versus age-matched controls, suggesting the need to assess further health and fitness outcomes of this demographic...

BACKGROUND: Excessive sedentary behaviors, such as television viewing or other screen time, may have adverse metabolic effects. We hypothesized that television viewing time in childhood would be associated with the risk of metabolic syndrome at 45 years of age. METHODS: We studied a population-based birth cohort born in Dunedin, New Zealand in 1972 and 1973. Parent- and self-reported weekday television viewing times were recorded at ages 5, 7, 9, 11, 13, 15, and 32 years...

BACKGROUND: Combinations of movement behaviors (i.e., physical activity, sedentary behavior, sleep) are associated with health and developmental outcomes in youth. Youth vary in how they accumulate these behaviors, both in volume and specific domains (e.g., sedentary time spent on recreational screen activities vs homework). The aim of this study was to examine how youth's combined general and domain-specific movement trajectories differ by socioeconomic position. METHODS: We conducted a longitudinal, group-based multi-trajectory analysis to identify general and domain-specific movement trajectory profiles for 2457 youth from age 10 to 14 years from the Longitudinal Study of Australian Children from 2014-2018...

BACKGROUND: Although observational studies have shown that physical activity is a protective factor for acute pancreatitis, the causal associations between PA/ sedentary behavior and acute pancreatitis (AP) and chronic pancreatitis (CP) remain unclear. METHODS: We used Mendelian randomization as a strategy to assess the causalities between exposures and outcomes by simulating randomized experiments with genetic variation. The collected genetic variants data of physical activity were from UK Biobank, the data on sedentary behavior were also from UK Biobank, and both of them could be found in the GWAS catalog, and the data on AP and CP were from FinnGen...

BACKGROUND: Cardiovascular disease accounts for 17.9 million deaths globally each year. Many research study data sets have been collected to answer questions regarding the relationship between cardiometabolic health and accelerometer-measured physical activity. This scoping review aimed to map the available data sets that have collected accelerometer-measured physical activity and cardiometabolic health markers. These data were then used to inform the development of a publicly available resource, the Global Physical Activity Data set (GPAD) catalogue...