Health & Place最新文献

People's feelings about their neighbourhoods are important for health, but they may be undervalued in urban development decision-making. This study explores how decision-makers understand and respond to residents' emotions. Reflexive thematic analysis was conducted on a secondary dataset consisting of 123 interviews with influential professionals in urban development decision-making. We developed three themes and one subtheme: ‘(mis)understanding residents’ emotions', ‘neglecting the health impact of positive emotions’, ‘avoidance of emotion in community engagement’ and ‘sanitized emotions’. We recommend decision-makers engage directly with residents' emotions during urban development processes to ensure healthier place-making.

Urban greenways are multipurpose and multi-user trails that provide a range of socio-ecological and health benefits, including active transportation, social interactions, and increased well-being. However, despite their numerous benefits, barriers exist that limit urban greenway access and use, particularly among older and disadvantaged adults. This study addresses a significant research gap by examining the nuanced factors that influence the choices and experiences of these specific user groups in Québec City, Canada. We use a mixed-methods’ approach to explore the facilitators of and barriers to access and use of two urban greenway trails among older and disadvantaged adults. Our methods included a greenway user count, 96 observation time slots, and 15 semi-structured user interviews. The results revealed significant use of greenway trails by older adults for afternoon walks in both seasons studied (autumn and winter). We also observed variations in use patterns, such as higher levels of solitary walking, reduced levels of winter cycling, and the impracticality of the secondary greenway trail owing to snow conditions. In addition, the findings revealed a wide range of factors that influence greenway access and use, categorized as individual or personal, physical or built environment, social environment, and meteorological or climatic dimensions. Future research can build on these insights to design and assess interventions that capitalize on the facilitators and address any barriers, enhancing the value of urban greenways for older and disadvantaged adults.

This systematic review and meta-analysis summarizes the effectiveness of school-based physical activity (PA) interventions on children's and adolescents' PA. As no robust empirical evidence exists regarding what seems to characterize the school-based PA interventions that are most effective, we further aimed to map key factors of particular importance when trying to increase PA in early stages of life through school-based strategies.

Intervention effects were calculated as standardized between-group (i.e., intervention vs. control) mean differences (SMD) in PA from baseline to follow-up. In total, 189 publications were included. Few studies (7%) were of high quality. Our results demonstrate that school-based interventions only have a small positive effect on children's and adolescents' PA levels. Compared to the effect observed during total day (SMD = 0.27, p < 0.001), a slightly larger effect was observed during school hours (SMD = 0.37, p < 0.001), while no intervention effect was observed during leisure time (SMD = 0.07, p = 0.20). There was a tendency for interventions to be more effective if theoretical frameworks for behavior changes were used in the design phase. The largest effect size was observed when experts from outside school delivered the program (SMD = 0.56, p = 0.01), but training of personnel involved in delivery was the determining factor for program effectiveness as no effect was observed if interventions were delivered primarily by schools' untrained staff (SMD = 0.06, p = 0.61). Intervention effects where larger if parents were involved in the intervention program (parents involved: SMD = 0.35, p < 0.001; parents not involved: SMD = 0.16, p = 0.02). Small positive intervention effects were sustained at long-term follow-up after end of intervention. Overall, the certainty of the evidence of the findings is rated as low.

There is increasing evidence indicating air pollution is an important factor influencing the aging brain. However, much of this work measures air pollution using particulate matter (PM). Yet we know that the chemical components of PM are not consistent across space or time. Rather, the possible chemical mixtures of PM vary and are therefore not reliably measuring the same thing across studies. In this study we attempt to disentangle the effects of the components of measured PM by using estimates of concurrent exposures of 415 industrial air toxics, as well as 44 neuro- and developmental toxics. Using bivariate latent curve models, we leverage individual level panel data from the bi-annual Health and Retirement Study to test how these exposures relate to cognitive score trajectories of respondents across the years 2002–2012. We find that more exposure to neurotoxics was associated with faster rate of cognitive decline by 1.09 points (p < 0.05).

Background

Urban environments pose challenges to mental health, an issue that Urban Green Spaces (UGS) can potentially mitigate. While the benefits of nature contact for mental wellbeing are recognized, a multidimensional analysis remains unexplored.

Purpose

This study aims to fill this gap by examining the association between nature contact within UGS and mental health. It underscores the importance of considering multiple dimensions of nature engagement—such as naturalness, intensity, duration, frequency, and infrastructure—in enhancing psychological wellbeing.

Method

A comprehensive analysis, including canonical correlation, multivariate analyses of variance, and Fisher discriminant analysis, was applied to survey data from several Brazilian metropolitan cities to assess how different aspects of nature contact influence mental health.

Results and conclusions

Findings reveal association between these dimensions and mental wellbeing indicators, highlighting the importance of a multidimensional perspective.

Practical implications

Results advocate for incorporating diverse aspects of nature contact in UGS design and policy-making to enhance urban dwellers' mental health.

Future directions

Further research should focus on longitudinal studies and explore the mediating effects of socio-demographic factors. Additionally, expanding research to include other developing countries will provide valuable comparative insights.

Established life course approaches suggest that health status in adulthood can be influenced by events that occurred during the prenatal developmental period. Yet, interventions such as diet and lifestyle changes performed during pregnancy have had a small impact on both maternal and offspring health outcomes. Currently, there is a growing body of literature that highlights the importance of maternal health before conception (months or years before pregnancy occurs) for the future health of offspring. While some studies have explored factors such as maternal body composition, nutrition, and lifestyle in this area, location-based environmental and socioeconomic exposures before conception may also contribute to future offspring health. In this line, the study of a patient's geographic history presents a promising avenue. To foster research in this direction, the integration of geospatial health, medical informatics and artificial intelligence techniques offers great potential. Importantly, novel sources of big health data sets such as electronic health records registered at the primary care level provide a unique framework due to its inherent longitudinal nature. Nonetheless, a number of privacy, ethical, and technical challenges need to be overcome for this kind of longitudinal analysis to mature and succeed. In the long-term, we support the vision of incorporating a patient's geographic history into her clinical history to equip clinicians with useful contextual information to explore.

This paper examines the relationship between different dimensions of economic uncertainty and suicide rates in England from 1985 to 2020, both in the short and long term. The study employs a non-linear autoregressive distributed lag framework for cointegration estimation. This approach allows testing for the existence of possible asymmetries in the response of suicide mortality to increases in economic uncertainty. Uncertainty is gauged by different proxies that allow computing financial uncertainty and labour market uncertainty indicators. The analysis is replicated by gender and across regions, controlling for unemployment and economic growth. Overall, the analysis suggests that uncertainty intensified during the first year of the COVID-19 pandemic. This is in line with the stylized facts of economic uncertainty and its pronounced role in recessions. When replicating the experiment by gender, we find that women seem to be more sensitive to changes in uncertainty. Regarding the existence of asymmetries, we found that decreases in economic uncertainty have a greater impact on suicide mortality than increases.

We aimed to understand whether neighbourhood characteristics are associated with movement and social behaviors using walking interviews with 28 community-dwelling older adults (aged 65+). Results indicated support for each component and each relationship in our proposed “Living Environments and Active Aging Framework”. Additional themes such as neighbourhoods with children, moving to neighbourhoods with opportunities for social activity and movement, and lingering effects of pandemic closures provided novel insights into the relationship between the living environment (neighbourhood) and active aging. Future work exploring sex and gender effects on these relationships, and work with equity-deserving groups is needed.

There is inconsistent evidence on the association between community-level social capital and the health or well-being of older adults. This study examined the association between community-level social capital and multidimensional health and well-being outcomes using an outcome-wide approach. We used data from the Japan Gerontological Evaluation Study, a nationwide cohort study of Japanese older adults (analytic samples: 47,227 for outcomes obtained from the long-term care insurance registry and 34,183 for other outcomes). We assessed three aspects of school-district-level community social capital in 2016 (civic participation, social cohesion, and reciprocity) and 41 subsequent health and well-being outcomes through 2019. We performed either a modified multilevel Poisson regression or a multilevel logistic regression analysis. We adjusted for pre-baseline characteristics, prior outcome values, and individual-level social capital from the 2013 wave. Even after Bonferroni correction, we found that community-level social capital was associated with some subsequent social well-being and physical/cognitive health. For example, community-level reciprocity was associated with a higher prevalence of taking a social role (Prevalence ratio [PR] = 1.03, 95% confidence interval [CI] = 1.02, 1.04) and undergoing health screening (PR = 1.03, 95% CI: 1.01, 1.04). There was modest evidence that community-level civic participation was associated with a higher competency of intellectual activity (PR = 1.01, 95% CI: 1.01, 1.02) and community-level social cohesion was associated with a reduced onset of functional disability (PR = 0.94, 95% CI: 0.90, 0.98). Community-level social capital may promote social well-being and some physical/cognitive health outcomes.