ABSTRACT
Greenspace is theoretically a valuable resource for physical activity and hence has potential to contribute to reducing obesity and improving health. This paper reports on a systematic review of quantitative research examining the association between objectively measured access to greenspace and (i) Physical activity, (ii) Weight status and (iii) Health conditions related to elevated weight. Literature searches were conducted in SCOPUS, Medline, Embase and PYSCHINFO. Sixty studies met the inclusion criteria and were assessed for methodological quality and strength of the evidence. The majority (68%) of papers found a positive or weak association between greenspace and obesity-related health indicators, but findings were inconsistent and mixed across studies. Several studies found the relationship varied by factors such as age, socioeconomic status and greenspace measure. Developing a theoretical framework which considers the correlates and interactions between different types of greenspace and health would help study design and interpretation of reported findings, as would improvement in quality and consistency of greenspace access measures. Key areas for future research include investigating if and how people actually use greenspace and improving understanding of the mechanisms through which greenspace can improve health and, in particular, if physical activity is one such mechanism.
Subject(s)
Environment , Exercise/physiology , Obesity/prevention & control , Body Weight/physiology , Humans , Leisure Activities , Obesity/epidemiology , Obesity/etiology , TreesABSTRACT
OBJECTIVES: To investigate whether there is an association between risk of congenital anomaly and annual ward level exposure to air pollution in England during the 1990s. METHODS: A geographical study was conducted across four regions of England using population-based congenital anomaly registers, 1991-1999. Exposure was measured as 1996 annual mean background sulphur dioxide (SO(2)), nitrogen dioxide (NO(2)) and particulate matter (PM(10)) concentrations at census ward level (n=1474). Poisson regression, controlling for maternal age, area socioeconomic deprivation and hospital catchment area, was used to estimate relative risk for an increase in pollution from the 10th to the 90th centile. RESULTS: For non-chromosomal anomalies combined, relative risks were 0.99 (95% CI 0.93 to 1.05) for SO(2), 0.97 (95% CI 0.84 to 1.11) for NO(2) and 0.89 (95% CI 0.75 to 1.07) for PM(10). For chromosomal anomalies, relative risks were 1.06 (95% CI 0.98 to 1.15) for SO(2), 1.11 (95% CI 0.95 to 1.30) for NO(2) and 1.18 (95% CI 0.97 to 1.42) for PM(10). Raised risks were found for tetralogy of Fallot and SO(2) (RR=1.38, 95% CI 1.07 to 1.79), NO(2) (RR=1.44, 95% CI 0.71 to 2.93) and PM(10) (RR=1.48, 95% CI 0.57 to 3.84), which is of interest in light of previously reported associations between this cardiac anomaly and other air pollutants. CONCLUSIONS: While air pollution in the 1990s did not lead to sustained geographical differences in the overall congenital anomaly rate in England, further research regarding specific anomalies is indicated.
Subject(s)
Air Pollution/adverse effects , Congenital Abnormalities/epidemiology , Maternal Exposure/adverse effects , Nitrogen Dioxide/toxicity , Prenatal Exposure Delayed Effects/epidemiology , Sulfur Dioxide/toxicity , Adult , Air Pollution/analysis , Congenital Abnormalities/etiology , England/epidemiology , Environmental Monitoring , Epidemiological Monitoring , Female , Humans , Infant, Newborn , Nitrogen Dioxide/analysis , Particulate Matter/analysis , Particulate Matter/toxicity , Poisson Distribution , Pregnancy , Pregnancy Outcome , Prenatal Exposure Delayed Effects/etiology , Risk Factors , Sulfur Dioxide/analysisABSTRACT
OBJECTIVES: Quantitative analysis of the physical and demographic parameters of access to Thames Chase Community Forest (TCCF), and how these have changed between 1990 and 2003; and qualitative exploration of our understanding of the links between health and the natural environment (TCCF), with a focus on the issue of 'access' to green space. STUDY DESIGN: Multimethod design involving both quantitative (analysis of physical access to green space) and qualitative (ethnography) components. METHODS: Quantitative analysis, using geographical information systems, of physical access to the community forest; and ethnographic research including participant observation, non-participant observation, in-depth interviews and attendance at meetings and conferences. RESULTS: The quantitative analysis showed that public access to green space improved between 1990 and 2003 as a result of the regeneration and acquisition of new areas, and the average reduction in distance to green space was 162 m. However, such improvements were distributed differentially between population groups. In both 1990 and 2003, people from deprived areas and in poorer health had better access to green space than people from less deprived areas, but the greatest improvement in access to green space over this interval occurred in areas of below average deprivation (i.e. in the more affluent areas). The ethnographic research showed different interpretations of the notion of access. Use of TCCF was determined by a variety of factors including whether a person could 'imagine themselves' using such a space, different perceptions of what is actually being accessed (e.g. a place to exercise or a place to socialise), and ideas about using the countryside 'properly'. CONCLUSIONS: The health benefits of using a green space, such as TCCF, for walking or exercising are well recognized. However, whether people choose to use local green space may be determined by a variety of factors. These are likely to include physical distance to access of green space, as well as perceptions and understandings of what is being accessed and how it should be used. This study has also illustrated the ways in which multiple methods can be integrated in public health research, and the merits of different approaches to undertaking multidisciplinary work of this type.
Subject(s)
Architectural Accessibility , Interdisciplinary Communication , Public Health , Trees , England , Environmental Health , Humans , Interviews as Topic , Organizational Case Studies , Public FacilitiesABSTRACT
OBJECTIVE: To examine the variation in serious injuries in children by the level of deprivation in an area and by types of settlement. METHODS: Hospital admission rates for serious injury to children aged 0-15 years in census lower super output areas in England during the 5-year period 1 April 1999 to 31 March 2004 were analysed. RESULTS: Rates of serious injury in children were higher in the most deprived areas than in the least deprived for pedestrians (rate ratio (RR) 4.1; 95% CI 2.8 to 6.0) and cyclists (RR 3.0; 95% CI 1.9 to 4.7). Rates of serious pedestrian injury were lower in towns and fringe areas (RR 0.67; 95% CI 0.53 to 0.86) and in village (RR 0.64; 95% CI 0.50 to 0.83) areas than in urban areas. The rate of serious injury to cyclists was lower in London than other urban areas (RR 0.78; 95% CI 0.62 to 0.98). The rate of serious injury to car occupants was higher in village than urban areas (RR 1.51; 95% CI 1.05 to 2.17). Rates of serious injury caused by falls were higher in London (RR 1.60; 95% CI 1.47 to 1.75) and lower in villages (RR 0.76; 95% CI 0.66 to 0.88) than in urban areas. Steeper socio-economic gradients in serious injury rates were identified in rural areas for cyclists and for children suffering falls. CONCLUSIONS: Socio-economic inequalities in serious injury exist across the whole of England, particularly for child pedestrians. Rates of serious injury vary by settlement type, and inequalities vary by cause of injury between rural and urban settings.
Subject(s)
Accidental Falls/statistics & numerical data , Accidents, Traffic/statistics & numerical data , Drowning/epidemiology , Poisoning/epidemiology , Wounds and Injuries/epidemiology , Accidental Falls/prevention & control , Accidents, Traffic/prevention & control , Adolescent , Child , Child, Preschool , Drowning/prevention & control , Female , Humans , Infant , Infant, Newborn , Male , Poisoning/prevention & control , Poverty Areas , Rural Health/statistics & numerical data , Socioeconomic Factors , United Kingdom , Urban Health/statistics & numerical data , Wounds and Injuries/etiology , Wounds and Injuries/prevention & controlABSTRACT
BACKGROUND: Despite the high burden from exposure to both hot and cold weather each year in England and Wales, there has been relatively little investigation on who is most at risk, resulting in uncertainties in informing government interventions. OBJECTIVE: To determine the subgroups of the population that are most vulnerable to heat-related and cold-related mortality. METHODS: Ecological time-series study of daily mortality in all regions of England and Wales between 1993 and 2003, with postcode linkage of individual deaths to a UK database of all care and nursing homes, and 2001 UK census small-area indicators. RESULTS: A risk of mortality was observed for both heat and cold exposure in all regions, with the strongest heat effects in London and strongest cold effects in the Eastern region. For all regions, a mean relative risk of 1.03 (95% confidence interval (CI) 1.02 to 1.03) was estimated per degree increase above the heat threshold, defined as the 95th centile of the temperature distribution in each region, and 1.06 (95% CI 1.05 to 1.06) per degree decrease below the cold threshold (set at the 5th centile). Elderly people, particularly those in nursing and care homes, were most vulnerable. The greatest risk of heat mortality was observed for respiratory and external causes, and in women, which remained after control for age. Vulnerability to either heat or cold was not modified by deprivation, except in rural populations where cold effects were slightly stronger in more deprived areas. CONCLUSIONS: Interventions to reduce vulnerability to both hot and cold weather should target all elderly people. Specific interventions should also be developed for people in nursing and care homes as heat illness is easily preventable.
Subject(s)
Cause of Death , Cold Temperature/adverse effects , Hot Temperature/adverse effects , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Child , Child, Preschool , England/epidemiology , Environmental Exposure/adverse effects , Female , Homes for the Aged/statistics & numerical data , Humans , Infant , Infant, Newborn , London/epidemiology , Male , Middle Aged , Nursing Homes/statistics & numerical data , Poverty/statistics & numerical data , Risk Factors , Rural Health/statistics & numerical data , Temperature , Wales/epidemiologyABSTRACT
AIMS: To estimate the total prevalence of diabetes mellitus (diagnosed and undiagnosed) at national, regional and local level in England to support health-care planning and delivery. METHODS: An epidemiological model was constructed by applying age-sex-ethnic-specific reference prevalence rates from epidemiological studies to resident populations (2001 census) of England at national, regional, and local authority/Primary Care Trust levels. RESULTS: Estimated prevalence of total diabetes for all persons in England was 4.41% in 2001, equating to 2 168 000 persons. Type 2 diabetes was estimated to affect 2 002 000 persons (92.3%) and Type 1 diabetes 166 000 persons (7.7%). Diabetes prevalence was estimated to be higher in women (5.17%) than men (3.61%). People from ethnic minority groups had higher crude prevalence than White Europeans (4.29, 5.69, 6.63 and 2.13% among White Europeans, Black African/Caribbeans, South Asians and 'other' groups, respectively). Prevalence increased sharply with age (0.33, 3.37 and 13.92%, respectively, in those aged 0-29, 30-59 and 60+ years). The model allows use of user-defined population denominator estimates to derive numbers and prevalence of people with diabetes for a given local population group, such as at ward or general practice level. CONCLUSIONS: Self-reported diabetes prevalence estimates from community surveys underestimate the true burden of diabetes. The model can be used to derive the expected total prevalence of diabetes in health areas that lack reliable data to facilitate the implementation of the National Service Framework for diabetes. It will also allow estimates of future diabetes prevalence to be derived, and can potentially be used for prevalence estimates in all of the UK.