ABSTRACT
Background: The 2021 Active Healthy Kids Scotland Report Card aimed to identify secular trends and socio-economic inequalities, and to assess the physical activity and health of children and youth prior to COVID-19. Methods: An expert panel searched for data published in 2018-2020. Grades were assigned to nationally representative data using the Active Healthy Kids Global Alliance methodology. Results: The expert panel, following national consultation, awarded the following grades: Community/Environment B-, Organized Sport and Physical Activity B-, Government/Policy C-/C+, Active Transportation C-, Family/Peers D-, Recreational Screen Time F. Five indicators were graded inconclusive (INC): Overall Physical Activity; Active Play; Physical Fitness; Diet; Obesity. Grades have remained stable or declined, and surveillance has reduced, increasing the number of INC grades. There were marked socio-economic inequalities for eight indicators (Recreational Screen Time; Overall Physical Activity; Organized Sport & Physical Activity; Active Transportation; Diet; Obesity; Family/Peers; Community/Environment). Conclusions: Despite a decade of favorable policy, physical activity and health of children and youth has not improved, and marked socio-economic inequalities continue to persist in Scotland. There is a clear need for greater monitoring of physical activity and health, and improved policy implementation and evaluation, particularly as many indicators and related inequalities may have worsened following the COVID-19 pandemic.
ABSTRACT
PURPOSE: There is a paucity of global data on sedentary behavior during early childhood. The purpose of this study was to examine how device-measured sedentary behavior in young children differed across geographically, economically, and sociodemographically diverse populations, in an international sample. METHODS: This multinational, cross-sectional study included data from 1071 children 3-5 yr old from 19 countries, collected between 2018 and 2020 (pre-COVID). Sedentary behavior was measured for three consecutive days using activPAL accelerometers. Sedentary time, sedentary fragmentation, and seated transport duration were calculated. Linear mixed models were used to examine the differences in sedentary behavior variables between sex, country-level income groups, urban/rural settings, and population density. RESULTS: Children spent 56% (7.4 h) of their waking time sedentary. The longest average bout duration was 81.1 ± 45.4 min, and an average of 61.1 ± 50.1 min·d-1 was spent in seated transport. Children from upper-middle-income and high-income countries spent a greater proportion of the day sedentary, accrued more sedentary bouts, had shorter breaks between sedentary bouts, and spent significantly more time in seated transport, compared with children from low-income and lower-middle-income countries. Sex and urban/rural residential setting were not associated with any outcomes. Higher population density was associated with several higher sedentary behavior measures. CONCLUSIONS: These data advance our understanding of young children's sedentary behavior patterns globally. Country income levels and population density appear to be stronger drivers of the observed differences, than sex or rural/urban residential setting.
Subject(s)
COVID-19 , Sedentary Behavior , Child , Child, Preschool , Cross-Sectional Studies , Exercise , Humans , Sitting PositionABSTRACT
This study aimed to investigate differences in physical activity (PA) patterns and the associations between objectively measured 24-h movement behaviors and musculoskeletal measures (muscle strength, muscle mass, physical performance, and bone mineral density) in a high-income and a low-income community. This cross-sectional study recruited independent living older adults aged 60-85 years from high-income Scottish (n = 150) and low-income South African (n = 138) settings. Participants completed demographic and health questionnaires, and testing included body composition and bone mineral density (dual energy X-ray absorptiometry), physical performance (grip strength, gait speed), and PA (accelerometry). Participants accumulated similar amounts of weekly total PA, however, the Scottish cohort engaged in more moderate-to-vigorous intensity PA (MVPA) and sedentary behavior (SB), while the South African cohort spent more time sleeping and in light intensity PA (LPA). From compositional data analysis, more time spent in MVPA relative to the other movement behaviors was positively associated with higher muscle mass (p < 0.001) and strength (p = 0.001) in the Scottish cohort. Conversely, more time spent in MVPA was associated with faster gait speed (p < 0.001) and greater hip bone mineral density (p = 0.011) in the South African cohort. Our findings confirm the beneficial role of MVPA in both high- and low-income cohorts, however, the relationship MVPA had with components of musculoskeletal health in older adults differed between settings.
Subject(s)
Exercise , Sedentary Behavior , Accelerometry , Aged , Aged, 80 and over , Cross-Sectional Studies , Humans , Middle Aged , ScotlandABSTRACT
This study examined the impact of social distancing during the COVID-19 pandemic on loneliness, wellbeing, and social activity, including social support, in Scottish older adults. A mixed methods online survey was used to examine these factors during social distancing mid-lockdown, July 2020. Participants were asked to state whether loneliness, wellbeing, social activity, and social support had changed since pre-social distancing, and to provide details of strategies used to keep socially active. A total of 1429 adults (84% aged 60+ years) living in Scotland took part. The majority reported that social distancing regulations made them experience more loneliness and less social contact and support. Loneliness during lockdown was higher than reported norms for this age group before the pandemic. A larger social network, more social contact, and better perceived social support seemed to be protective against loneliness and poor wellbeing. Positive coping strategies reported included increasing online social contact with both existing social networks and reconnecting with previous networks, as well as increasing contact with neighbours and people in the community. This underlines the importance of addressing loneliness and social support in older adults but particularly during situations where risk of isolation is high.