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Sinnett D, Bray I, Baranyi G, Braubach M, Netanyanhu S. Systematic Review of the Health and Equity Impacts of Remediation and Redevelopment of Contaminated Sites. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:5278. [PMID: 35564674 PMCID: PMC9100537 DOI: 10.3390/ijerph19095278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 04/22/2022] [Accepted: 04/24/2022] [Indexed: 01/13/2023]
Abstract
(1) Background: Globally there is a vast legacy of contaminated sites from past industrial, commercial and military activity, waste disposal, and mineral extraction. This review examined the extent to which the remediation of contaminated sites reduces health risks to new and existing populations. (2) Methods: Standard academic databases were searched for papers that reported on health-related outcomes in humans following remediation and redevelopment of contaminated sites. Title/abstract screening, followed by full-text screening identified sixteen papers that met the eligibility criteria. (3) Results: Most studies were set in the United States of America and reported changes in blood lead concentrations in children, following soil remediation and, in some cases, public health campaigns to reduce exposure. Two further studies examined the impacts of remediation on soil contaminated with chromium and sediments contaminated with polychlorinated biphenyls (PCBs). (4) Conclusions: Overall, the evidence suggests that remediation via removal, capping, and replacing soil, and planting vegetation is effective at reducing concentrations of lead and chromium in blood and urine in children. There is also evidence that sediment dredging can reduce PCB concentrations in umbilical cords in infants. Study designs are relatively weak and some recommendations are provided for those wishing to examine the health impacts of remediation.
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Affiliation(s)
- Danielle Sinnett
- Centre for Sustainable Planning and Environments & WHO Collaborating Centre for Healthy Urban Environments, University of the West of England, Bristol BS16 1QY, UK
| | - Isabelle Bray
- Centre for Public Health and Wellbeing & WHO Collaborating Centre for Healthy Urban Environments, University of the West of England, Bristol BS16 1QY, UK;
| | - Gergő Baranyi
- Centre for Research on Environment, Society and Health (CRESH), Institute of Geography, The University of Edinburgh, Edinburgh EH8 9XP, UK;
| | - Matthias Braubach
- European Centre for Environment and Health, World Health Organization Regional Office for Europe, Platz der Vereinten Nationen 1, 53113 Bonn, Germany; (M.B.); (S.N.)
| | - Sinaia Netanyanhu
- European Centre for Environment and Health, World Health Organization Regional Office for Europe, Platz der Vereinten Nationen 1, 53113 Bonn, Germany; (M.B.); (S.N.)
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Guo C, Hu X, Xu C, Zheng X. Association between Olympic Games and children's growth: evidence from China. Br J Sports Med 2022; 56:bjsports-2021-104844. [PMID: 35241433 PMCID: PMC9484364 DOI: 10.1136/bjsports-2021-104844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To estimate the association between the 2008 Beijing Olympic Games (BOG) and growth of children in China. METHODS A total sample of 6 951 children aged 3-10 years were included, among which 3 201 were interviewed in 2014 and 3 750 were interviewed in 2018. The BOG was used as a natural experiment. Exposure to the BOG was established by triple differences measured by age group, survey period and whether child participants were living in BOG areas or not, respectively. Children's growth was assessed by binary variables of stunting, underweight, overweight and obesity. The difference-in-difference-in-differences (DDD) method was used to estimate the association between the BOG and children's growth. RESULTS DDD estimates showed that the BOG was significantly associated with decreased risks of children's underweight (OR 0.12; 95% CI 0.02 to 0.69) and overweight (OR 0.43; 95% CI 0.19 to 0.98) after controlling for multiple covariates in fractional polynomial models. There was significant sex heterogeneity with regard to the association between BOG and obesity, that is, lower odds of obesity (OR 0.24; 95% CI 0.06 to 0.94) were found in female children but not in male children. CONCLUSION The BOG was positively associated with healthier growth of children including decreased risks of both undernutrition and overnutrition. More attention should be given to the improvement of health surveillance and services before and after sporting events so that the active role of such mega-events in the lasting well-being of the public can be determined in more detail.
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Affiliation(s)
- Chao Guo
- Institute of Population Research, Peking University, Beijing, China
- APEC Health Science Academy (HeSAY), Peking University, Beijing, China
| | - Xiyuan Hu
- Institute of Population Research, Peking University, Beijing, China
| | - Chaofan Xu
- Institute of Population Research, Peking University, Beijing, China
| | - Xiaoying Zheng
- Institute of Population Research, Peking University, Beijing, China
- APEC Health Science Academy (HeSAY), Peking University, Beijing, China
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Owen CG, Limb ES, Nightingale CM, Rudnicka AR, Ram B, Shankar A, Cummins S, Lewis D, Clary C, Cooper AR, Page AS, Procter D, Ellaway A, Giles-Corti B, Whincup PH, Cook DG. Active design of built environments for increasing levels of physical activity in adults: the ENABLE London natural experiment study. PUBLIC HEALTH RESEARCH 2020. [DOI: 10.3310/phr08120] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
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).
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Affiliation(s)
- Christopher G Owen
- Population Health Research Institute, St George’s, University of London, London, UK
| | - Elizabeth S Limb
- Population Health Research Institute, St George’s, University of London, London, UK
| | - Claire M Nightingale
- Population Health Research Institute, St George’s, University of London, London, UK
| | - Alicja R Rudnicka
- Population Health Research Institute, St George’s, University of London, London, UK
| | - Bina Ram
- Population Health Research Institute, St George’s, University of London, London, UK
| | - Aparna Shankar
- Population Health Research Institute, St George’s, University of London, London, UK
| | - Steven Cummins
- Population Health Innovation Lab, London School of Hygiene & Tropical Medicine, London, UK
| | - Daniel Lewis
- Population Health Innovation Lab, London School of Hygiene & Tropical Medicine, London, UK
| | - Christelle Clary
- Population Health Innovation Lab, London School of Hygiene & Tropical Medicine, London, UK
| | - Ashley R Cooper
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, Faculty of Social Sciences and Law, University of Bristol, Bristol, UK
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK
| | - Angie S Page
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, Faculty of Social Sciences and Law, University of Bristol, Bristol, UK
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK
| | - Duncan Procter
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, Faculty of Social Sciences and Law, University of Bristol, Bristol, UK
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, UK
| | - Anne Ellaway
- Medical Research Council and Scottish Government Chief Scientist Office Social and Public Health Sciences Unit, Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK
| | - Billie Giles-Corti
- National Health and Medical Research Council Centre of Research Excellence in Healthy Liveable Communities, Centre for Urban Research, Royal Melbourne Institute of Technology University, Melbourne, VIC, Australia
| | - Peter H Whincup
- Population Health Research Institute, St George’s, University of London, London, UK
| | - Derek G Cook
- Population Health Research Institute, St George’s, University of London, London, UK
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Berger N, Lewis D, Quartagno M, Njagi EN, Cummins S. Longitudinal associations between neighbourhood trust, social support and physical activity in adolescents: evidence from the Olympic Regeneration in East London (ORiEL) study. J Epidemiol Community Health 2020; 74:710-718. [PMID: 32385128 PMCID: PMC7614811 DOI: 10.1136/jech-2019-213412] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 04/12/2020] [Accepted: 04/15/2020] [Indexed: 11/03/2022]
Abstract
BACKGROUND Most UK adolescents do not achieve recommended levels of physical activity (PA). Previous studies suggest that the social environment could contribute to inequalities in PA behaviours, but longitudinal evidence is limited. We examined whether neighbourhood trust and social support were longitudinally associated with four common forms of PA: walking to school, walking for leisure, outdoor PA and pay and play PA. We further assessed whether gender moderated these associations. METHODS We used longitudinal data from the Olympic Regeneration in East London (ORiEL) study. In 2012, 3106 adolescents aged 11-12 were enrolled from 25 schools in four deprived boroughs of East London, UK. Adolescents were followed-up in 2013 and 2014. The final sample includes 2664 participants interviewed at waves 2 and 3. We estimated logistic regression models using generalised estimating equations (GEEs) (pooled models) and proportional odds models (models of change) to assess associations between the social environment exposures and the PA outcomes, adjusting for potential confounders. Item non-response was handled using multilevel multiple imputation. RESULTS We found that different aspects of the social environment predict different types of PA. Neighbourhood trust was positively associated with leisure-type PA. Social support from friends and family was positively associated with walking for leisure. There was some evidence that changes in exposures led to changes in the PA outcomes. Associations did not systematically differ by gender. CONCLUSION These results confirm the importance of the social environment to predict PA and its change over time in a deprived and ethnically diverse adolescent population.
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Affiliation(s)
- Nicolas Berger
- Population Health Innovation Lab, Department of Public Health, Environments & Society, London School of Hygiene & Tropical Medicine, London, UK
| | - Daniel Lewis
- Population Health Innovation Lab, Department of Public Health, Environments & Society, London School of Hygiene & Tropical Medicine, London, UK.,Care Quality Commission, London, UK
| | | | - Edmund Njeru Njagi
- Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Steven Cummins
- Population Health Innovation Lab, Department of Public Health, Environments & Society, London School of Hygiene & Tropical Medicine, London, UK
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