scholarly journals Measuring high-density built environment for public health research: Uncertainty with respect to data, indicator design and spatial scale

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Guibo Sun ◽  
Chris Webster ◽  
Michael Y. Ni ◽  
Xiaohu Zhang

Uncertainty with respect to built environment (BE) data collection, measure conceptualization and spatial scales is evident in urban health research, but most findings are from relatively lowdensity contexts. We selected Hong Kong, an iconic high-density city, as the study area as limited research has been conducted on uncertainty in such areas. We used geocoded home addresses (n=5732) from a large population-based cohort in Hong Kong to extract BE measures for the participants’ place of residence based on an internationally recognized BE framework. Variability of the measures was mapped and Spearman’s rank correlation calculated to assess how well the relationships among indicators are preserved across variables and spatial scales. We found extreme variations and uncertainties for the 180 measures collected using comprehensive data and advanced geographic information systems modelling techniques. We highlight the implications of methodological selection and spatial scales of the measures. The results suggest that more robust information regarding urban health research in high-density city would emerge if greater consideration were given to BE data, design methods and spatial scales of the BE measures.

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
M Z Zins

Abstract The overarching objective of CONSTANCES is to constitute a research infrastructure based on a large population-based cohort to serve as a versatile, high quality and efficient platform for population health research. Constances is designed as a representative sample of 200,000 adults aged 18-69 at inception living in different regions of France. CONSTANCES, which is accessible to the national and international research community, enables the conduct of valid and well-powered studies in a wide range of scientific domains. For each participant, it combines detailed data collection at baseline, englobing lifestyle, environmental, social, and medical history information, with medical examinations, neuropsychological testing with the added advantage of linkage with two major national administrative data bases (SNDS and CNAV). Further, CONSTANCES collects information about changing lifestyles, environments, health behaviors and health conditions on a prospective ongoing basis. A biobank of blood and urine samples is in the process of being constituted. As of April 2018, 85 nested projects designed by French and international teams in many areas of biomedical and public health research were initiated. Constances participates in several French and international consortiums. We established relationships with public health institutions and industrial companies. In the next years, we plan to continue longitudinal follow-up CONSTANCES along the same lines by extending the follow-up of the cohort and by developing innovative new themes prioritizing the strengthening of certain “niches” where CONSTANCES can have international leadership.


Author(s):  
Vishwali Mhasawade ◽  
Anas Elghafari ◽  
Dustin T. Duncan ◽  
Rumi Chunara

Online social communities are becoming windows for learning more about the health of populations, through information about our health-related behaviors and outcomes from daily life. At the same time, just as public health data and theory has shown that aspects of the built environment can affect our health-related behaviors and outcomes, it is also possible that online social environments (e.g., posts and other attributes of our online social networks) can also shape facets of our life. Given the important role of the online environment in public health research and implications, factors which contribute to the generation of such data must be well understood. Here we study the role of the built and online social environments in the expression of dining on Instagram in Abu Dhabi; a ubiquitous social media platform, city with a vibrant dining culture, and a topic (food posts) which has been studied in relation to public health outcomes. Our study uses available data on user Instagram profiles and their Instagram networks, as well as the local food environment measured through the dining types (e.g., casual dining restaurants, food court restaurants, lounges etc.) by neighborhood. We find evidence that factors of the online social environment (profiles that post about dining versus profiles that do not post about dining) have different influences on the relationship between a user’s built environment and the social dining expression, with effects also varying by dining types in the environment and time of day. We examine the mechanism of the relationships via moderation and mediation analyses. Overall, this study provides evidence that the interplay of online and built environments depend on attributes of said environments and can also vary by time of day. We discuss implications of this synergy for precisely-targeting public health interventions, as well as on using online data for public health research.


Author(s):  
Joanna McGregor ◽  
Ann John ◽  
Keith Lloyd

ABSTRACT ObjectivesWe have conducted a feasibility study linking clinically rich survey data to routine data to create a platform for psychosis research in Wales: K Lloyd et al (2015), A national population-based e-cohort of people with psychosis (PsyCymru) linking prospectively ascertained phenotypically rich and genetic data to routinely collected records: overview, recruitment and linkage, Schizophrenia Research. Now we expand upon this through the linkage of large clinically rich cohorts with a range of mental health diagnoses along with genetic data to conduct validation exercises, develop novel methodologies, assess genetic and environment interactions and outcomes and address hypothesis-driven research questions. ApproachThrough collaborations between the Farr Institute, Cardiff University based MRC centre for Neuropsychiatric Genetics and Genomics and the National Centre for Mental Health (NCMH) clinically rich data and genetic (CNVs, SNPs & polygenic scores) data from around 6000+ participants recruited from a variety of mental health research studies including ‘PsyCymru’, ‘Genetic susceptibility to cognitive deficits study and NCMH amongst others will be loaded and linked to the datasets within SAIL. The analysis plan would firstly include validation exercises to compare the data between sources. Methodologies would be developed using this data to determine illness onset, relapse, chronicity, severity and response to treatment applied to large population-based mental health e-cohorts. ResultsBy pooling together health service data, genetic variants, environmental and lifestyle factors, phenotypic and endo-phenotypic (cognitive scores) along with the ability to ascertain temporal relationships afforded by the longitudinal perspective available in SAIL we may be able to evaluate potential risk factors, assess the complex GxE interactions that lead to disease progression, and assess outcomes such as prognosis, remission, relapse and premature mortality. The on-going routine updates provide us with the opportunity to follow-up these individuals across multiple health care settings in a cost effective and in-obtrusive manner and to carry out health services utilization/benefit and treatment surveillance in a naturalistic setting. This resource will continue to expand over the coming years in size, breadth and depth of data, with continued recruitment and additional measures planned. ConclusionTo advance mental health research by developing our understanding of the causes, course and outcomes of mental illness that may lead to the development of better diagnostic classification, predictive, preventative strategies and therapeutic approaches.


2020 ◽  
pp. 251-262
Author(s):  
Jennifer Kolker ◽  
Amy Carroll-Scott

As Part IV of this book begins, the authors review the sectors and stakeholders in cities who put public health research into action and use public health science in their day-to-day activities to improve urban health. They identify the myriad of actors in urban health—from traditional public health departments and nongovernment organizations to sectors that are seemingly only tangentially engaged but whose work impacts the health of city residents every day, such as economic development and public safety. Finally, they discuss and provide examples of multi-sectoral partnerships and collaborations that can lead to positive change in urban health.


2020 ◽  
Vol 8 (12) ◽  
pp. 1-162
Author(s):  
Christopher G Owen ◽  
Elizabeth S Limb ◽  
Claire M Nightingale ◽  
Alicja R Rudnicka ◽  
Bina Ram ◽  
...  

Background Low physical activity is widespread and poses a serious public health challenge both globally and in the UK. The need to increase population levels of physical activity is recognised in current health policy recommendations. There is considerable interest in whether or not the built environment influences health behaviours, particularly physical activity levels, but longitudinal evidence is limited. Objectives The effect of moving into East Village (the former London 2012 Olympic and Paralympic Games Athletes’ Village, repurposed on active design principles) on the levels of physical activity and adiposity, as well as other health-related and well-being outcomes among adults, was examined. Design The Examining Neighbourhood Activities in Built Environments in London (ENABLE London) study was a longitudinal cohort study based on a natural experiment. Setting East Village, London, UK. Participants A cohort of 1278 adults (aged ≥ 16 years) and 219 children seeking to move into social, intermediate and market-rent East Village accommodation were recruited in 2013–15 and followed up after 2 years. Intervention The East Village neighbourhood, the former London 2012 Olympic and Paralympic Games Athletes’ Village, is a purpose-built, mixed-use residential development specifically designed to encourage healthy active living by improving walkability and access to public transport. Main outcome measure Change in objectively measured daily steps from baseline to follow-up. Methods Change in environmental exposures associated with physical activity was assessed using Geographic Information System-derived measures. Individual objective measures of physical activity using accelerometry, body mass index and bioelectrical impedance (per cent of fat mass) were obtained, as were perceptions of change in crime and quality of the built environment. We examined changes in levels of physical activity and adiposity using multilevel models adjusting for sex, age group, ethnic group, housing sector (fixed effects) and baseline household (random effect), comparing the change in those who moved to East Village (intervention group) with the change in those who did not move to East Village (control group). Effects of housing sector (i.e. social, intermediate/affordable, market-rent) as an effect modifier were also examined. Qualitative work was carried out to provide contextual information about the perceived effects of moving to East Village. Results A total of 877 adults (69%) were followed up after 2 years (mean 24 months, range 19–34 months, postponed from 1 year owing to the delayed opening of East Village), of whom 50% had moved to East Village; insufficient numbers of children moved to East Village to be considered further. In adults, moving to East Village was associated with only a small, non-significant, increase in mean daily steps (154 steps, 95% confidence interval –231 to 539 steps), more so in the intermediate sector (433 steps, 95% confidence interval –175 to 1042 steps) than in the social and market-rent sectors (although differences between housing sectors were not statistically significant), despite sizeable improvements in walkability, access to public transport and neighbourhood perceptions of crime and quality of the built environment. There were no appreciable effects on time spent in moderate to vigorous physical activity or sedentary time, body mass index or percentage fat mass, either overall or by housing sector. Qualitative findings indicated that, although participants enjoyed their new homes, certain design features might actually serve to reduce levels of activity. Conclusions Despite strong evidence of large positive changes in neighbourhood perceptions and walkability, there was only weak evidence that moving to East Village was associated with increased physical activity. There was no evidence of an effect on markers of adiposity. Hence, improving the physical activity environment on its own may not be sufficient to increase population physical activity or other health behaviours. Funding This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 8, No. 12. See the NIHR Journals Library website for further project information. This research was also supported by project grants from the Medical Research Council National Prevention Research Initiative (MR/J000345/1).


2020 ◽  
pp. 263-286
Author(s):  
Amy Carroll-Scott

Community residents, and the community-based nonprofit and grassroots organizations who serve them, are important actors in urban public health. This chapter discusses challenges in effectively engaging community actors in urban health research and practice, as well as strategies for effective partnerships to overcome these challenges. Key challenges include addressing the history of mistrust between urban populations and research, making research relevant to community needs, and engaging communities in all phases of research. Community engagement and partnerships are fundamental to cross-sector collaborations in urban public health research and interventions.


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