The socio-spatial distribution of walkable environments in urban scotland: A case study from Glasgow and Edinburgh

Equity in temporary street closures: The case of London's Covid-19 'School Streets' schemes

School Streets are a street space reallocation scheme that has proliferated since the beginning of the Covid-19 pandemic in the UK, reducing motor traffic on streets outside many schools. Utilising a minimum-standards approach to equity, this paper examines the distribution of School Streets closures across social and environmental indicators of equity, and spatially across London's administrative geography. Using a multi-level regression analysis, we show that although School Streets have been equally distributed across several socio-demographic indicators, they are less likely to benefit schools in car-dominated areas of poor air quality, and their spatial distribution is highly unequal. This study presents an example of using environmental and spatial variables alongside more typical sociodemographic indicators in measuring the equity of school travel provision. For policymakers, the findings signal the need to implement complementary policies that can benefit schools with worse air quality, and to accelerate School Street implementation in slower districts.

A Low-Cost Method for Understanding How Nature-Based Early Learning and Childcare Impacts Children's Health and Wellbeing

Nature-based play and learning provision is becoming increasingly popular across the early learning and childcare (ELC) sector in Scotland. However, there remains a lack of understanding of how the program is expected to function. This has implications for program learning and may affect wider rollout of the program. Secondary data analysis of parent interviews (n = 22) and observations (n = 7) in Scottish ELC settings, and review of internationally published studies (n = 33) were triangulated to develop a program theory using the Theory of Change approach. This approach makes a program's underlying assumptions explicit by systematically demonstrating the relationship between each component: inputs, activities, outcomes, impact, and the contexts of the program. Findings suggested that location of outdoor nature space, affordances, availability of trained practitioners, and transport to location lead to activities such as free play, educator-led activities, and interactions with nature, resulting in longer durations of physical activity, interactions with peers and educators, and increased engagement with the natural environment. These activities are vital for supporting children's physical, cognitive, social, and emotional development. Our results demonstrate the value of using secondary data analysis to improve our understanding of the underlying theory of nature-based ELC which can support future evaluation designs. These findings will be of interest to program evaluators, researchers, practitioners, and funders, who find themselves with limited resources and want to better understand their program before investing in an evaluation. We encourage researchers and evaluators in the field of early years and outdoor play in other countries to refine this logic model in their own context-specific setting.

Spatial Pattern of the Walkability Index, Walk Score and Walk Score Modification for Elderly

Contemporary cities require excellent walking conditions to support human physical activity, increase humans’ well-being, reduce traffic, and create a healthy urban environment. Various indicators and metrics exist to evaluate walking conditions. To evaluate the spatial pattern of objective-based indicators, two popular indices were selected—the Walkability Index (WAI), representing environmental-based indicators, and Walk Score (WS), which applies an accessibility-based approach. Both indicators were evaluated using adequate spatial units (circle buffers with radii from 400 m to 2414 m) in two Czech cities. A new software tool was developed for the calculation of WS using OSM data and freely available network services. The new variant of WS was specifically designed for the elderly. Differing gait speeds, and variable settings of targets and their weights enabled the adaptation of WS to local conditions and personal needs. WAI and WS demonstrated different spatial pattern where WAI is better used for smaller radii (up to approx. 800 m) and WS for larger radii (starting from 800 m). The assessment of WS for both cities indicates that approx. 40% of inhabitants live in unsatisfactory walking conditions. A sensitivity analysis discovered the major influences of gait speed and the β coefficient on the walkability assessment.

Inequalities in body mass index, diet and physical activity in the UK: Longitudinal evidence across childhood and adolescence

We use longitudinal data across a key developmental period, spanning much of childhood and adolescence (age 5 to 17, years 2006-2018) from the UK Millennium Cohort Study, a nationally representative study with an initial sample of just over 19,000. We first examine the extent to which inequalities in overweight, obesity, BMI and body fat over this period are consistent with the evolution of inequalities in health behaviours, including exercise and healthy diet markers (i.e., skipping breakfast) (n = 7,220). We next study the links between SES, health behaviours and adiposity (BMI, body fat), using rich models that account for the influence of a range of unobserved factors that are fixed over time. In this way, we improve on existing estimates measuring the relationship between SES and health behaviours on the one hand and adiposity on the other. The advantage of the individual fixed effects models is that they exploit within-individual changes over time to help mitigate biases due to unobserved fixed characteristics (n = 6,883). We observe stark income inequalities in BMI and body fat in childhood (age 5), which have further widened by age 17. Inequalities in obesity, physical activity, and skipping breakfast are observed to widen from age 7 onwards. Ordinary Least Square estimates reveal the previously documented SES gradient in adiposity, which is reduced slightly once health behaviours including breakfast consumption and physical activity are accounted for. The main substantive change in estimates comes from the fixed effects specification. Here we observe mixed findings on the SES associations, with a positive association between income and adiposity and a negative association with wealth. The role of health behaviours is attenuated but they remain important, particularly for body fat.

Relationships of Child-, Parents-, and Environment-Associated Determinants with Diet Quality, Physical Activity, and Smoking Habits among Indonesian Urban Adolescents

BACKGROUND

The trend of unhealthy lifestyles is increasing among adolescents and has been associated with the rising burden of noncommunicable diseases (NCDs). However, specific determinants of unhealthy lifestyles among adolescents in low- and middle-income countries remain limited.

OBJECTIVE

To investigate the relationships of child-, parents-, and environment-associated determinants with diet quality, physical activity, and smoking habits among low-socioeconomic urban adolescents.

METHODS

A cross-sectional study involving 238 adolescents aged 11 to 17 years was conducted in Jakarta, Indonesia. Adolescents and their parents were interviewed to assess the determinants of healthy lifestyles that included diet quality, physical activity, and smoking habits. Diet and physical activity were quantified using the Diet Quality Index for Adolescents (DQI-A) and Physical Activity Questionnaire for Older Children (PAQ-C), respectively. Multiple regression was used to determine the β coefficients and odds ratios predictive of healthy lifestyles.

RESULTS

Mean scores of DQI-A and PAQ-C were considered low (33.5% ± 8.9% and 2.1 ± 0.5, respectively). Overall, 17.6% of adolescents were smokers, with 88% of these being males. Predictors of diet quality were child- (age, gender) and environment-associated (house size, access to a computer) determinants with β coefficients of -6.52 to 3.26. The PAQ-C score was associated with child- (female) and environment-associated (living area) determinants with β coefficients of -0.45 and 0.14, respectively. Younger adolescents and females were protective factors for smoking. Parents-associated determinants were not associated with any lifestyle indicators.

CONCLUSIONS

Child- and environment-associated determinants were predictors of healthy lifestyles among adolescents. Thus, personal empowerment and environment transformation are needed to facilitate a healthy lifestyle and reduce the burden of NCDs among adolescents.