Neighbourhood green space, physical function and participation in physical activities among elderly men: the Caerphilly Prospective study
© Gong et al.; licensee BioMed Central Ltd. 2014
Received: 24 July 2013
Accepted: 5 March 2014
Published: 19 March 2014
The built environment in which older people live plays an important role in promoting or inhibiting physical activity. Most work on this complex relationship between physical activity and the environment has excluded people with reduced physical function or ignored the difference between groups with different levels of physical function. This study aims to explore the role of neighbourhood green space in determining levels of participation in physical activity among elderly men with different levels of lower extremity physical function.
Using data collected from the Caerphilly Prospective Study (CaPS) and green space data collected from high resolution Landmap true colour aerial photography, we first investigated the effect of the quantity of neighbourhood green space and the variation in neighbourhood vegetation on participation in physical activity for 1,010 men aged 66 and over in Caerphilly county borough, Wales, UK. Second, we explored whether neighbourhood green space affects groups with different levels of lower extremity physical function in different ways.
Increasing percentage of green space within a 400 meters radius buffer around the home was significantly associated with more participation in physical activity after adjusting for lower extremity physical function, psychological distress, general health, car ownership, age group, marital status, social class, education level and other environmental factors (OR = 1.21, 95% CI 1.05, 1.41). A statistically significant interaction between the variation in neighbourhood vegetation and lower extremity physical function was observed (OR = 1.92, 95% CI 1.12, 3.28).
Elderly men living in neighbourhoods with more green space have higher levels of participation in regular physical activity. The association between variation in neighbourhood vegetation and regular physical activity varied according to lower extremity physical function. Subjects reporting poor lower extremity physical function living in neighbourhoods with more homogeneous vegetation (i.e. low variation) were more likely to participate in regular physical activity than those living in neighbourhoods with less homogeneous vegetation (i.e. high variation). Good lower extremity physical function reduced the adverse effect of high variation vegetation on participation in regular physical activity. This provides a basis for the future development of novel interventions that aim to increase levels of physical activity in later life, and has implications for planning policy to design, preserve, facilitate and encourage the use of green space near home.
KeywordsGreen space Lower extremity physical function Physical activity Elderly men
Physical activities provide an important way for older people to keep healthy. They have a positive effect on health and mortality , personal well-being, life satisfaction , quality of life [3, 4] and preventing disabilities . It is widely documented that the environment in which older people live plays an important role in promoting or inhibiting physical activity [6–8]. In particular, green space has been recognized as an important behaviour setting for physical activity . The presence of a large amount of green space with good access within walking distance was found to be associated with more physical activity in the form of walking [9–13]. More recent studies show that among older adults neighbourhood green space has positive associations with physical activity in a wide range of forms including sport, gardening, walking and cycling in the US , the Netherlands , Japan , Chile  and Colombia .
However, it is notable that most work on this complex relationship between physical activity and neighbourhood green space has not taken into account the difference between groups with different levels of physical function, especially among older populations. A certain level of physical functional capacity is required to participate in physical activity [1, 19, 20]. As people get older, physical functional capacity declines and people experience a shrinking of their activity spaces and participation in physical activity [21, 22]. In other words, older adults tend to rely more heavily on their local environment for day-to-day activities . Older people with poorer health are found to participate in less physical activity [24–27]. Walking, as an example, is the most common form of physical activity among adults . But difficulty in walking is commonly observed within older populations. The US National Health and Nutrition Examination Survey (1999-2002) reported that 21% of Americans aged 60-69 reported difficulty or inability to walk 400 meters, and this proportion increased to 30% and 49% in the 70-79 year and the 80 years and over age groups respectively . Older adults from the US and Canada who have no difficulties in walking half a mile or climbing stairs reported travelling greater distances and completing more errands than those with difficulties .
To our knowledge, only three studies (all set in the US) have explored the role of the built environment in the relationship between lower body physical function and physical activity among the elderly [31–33]. All three studies found that the impact of the built environment on physical activity varied between older people with different levels of physical function in walking. Two studies suggested that more walkable neighbourhoods were associated with more physical activity among those with reduced lower extremity physical function [31, 32]. First, a cross-sectional survey of 326 adults aged 60 years and older reported that the neighbourhood destinations (average of the shortest travel time to retail and public services) and neighbourhood design (accessibility to services, street connectivity, the condition of pavements and surroundings, pedestrian/ traffic safety and crime safety) explained more variance in neighbourhood walking among those older adults with reduced physical function than those without limitations . Second, a longitudinal study of 719 adults aged 66 years and older from two US regions found that older adults with the worst lower extremity function and living in more walkable neighbourhoods (measured by street connectivity, diversity of destinations/land use) reported similar levels of active transport (e.g. walking and cycling activity) to those with better lower extremity function and living in less walkable neighbourhoods . In contrast, the third study suggested the environmental effects were stronger on those with good physical function by examining 884 people aged 65 and over from five US counties. In this cross-sectional analysis, living in a more compacted area with shorter median block length was associated with more walking only among those elderly people with good lower-body strength . Although these three studies provided some evidence that environment may influence different sub-groups (e.g. by lower extremity physical function) differently in physical activity, there is a gap in knowledge on the effect of the environment on physical activity for older adults with different levels of physical function.
The purpose of this study was to evaluate the association between neighbourhood green space and physical activity participation among elderly men with different levels of lower extremity physical function. We first investigated the effect of the amount of neighbourhood green space and variation in vegetation on physical activity participation, using data collected from the Caerphilly Prospective Study (CaPS) and objectively measured green space data from high resolution aerial photography. Second, we explored the effects of green space on physical activity participation by different levels of lower extremity physical function.
The Caerphilly Prospective Study was established to study cardiovascular disease in adult men, following a general population sample of men (2,512) from Caerphilly county borough, Wales, UK aged 45-69 at recruitment in 1979 [34, 35]. Subsequently, various parameters of health in older adults have been included. At the fifth phase (2002-2004), ethical approval was obtained from the South Wales Research Ethics Committee, and each subject signed their agreement to be involved. 1,225 took part in the survey. Of those, 1,036 (85%) still lived within the study area and reported a valid postcode. 1,010 (82%) reported the frequency of physical activity. These data are used in this analysis.
Social class was assessed using the British Registrar General’s classification  and considered as a two-level factor based on manual and non-manual occupations. Education was recorded as the highest achieved qualification and classified into two groups: (1) no qualifications, (2) CSE (Certificate of Secondary Education qualifications) and above, which is equivalent to education up to age 16 years and over. Marital status (married, single/ windowed/divorced/separated) and car ownership (one or more cars, no car) were both modelled as two-level factors.
General health status was measured by asking participants to rate their health in two questions (1) in general and (2) when compared with someone of their age using a 5-point Likert scale coded as 1: “excellent”, 2: “good”, 3: “fair”, 4: “poor”, 5: “very poor”. The internal consistency of the scale was high at 0.91. Mental health was measured using the General Health Questionnaire (GHQ-30) and a cut-off score of >=5 was used as the indicator of psychological distress. Lower extremity physical function was measured using nine items assessing the difficulty of lower extremity strength and balance [37, 38]. Respondents were asked “Do you currently have difficulty carrying out any of the following activities on your own as a result of a long-term health or medical problem, or due to old age?” The activities included going up or down stairs, keeping balance, bending down, straightening up, going out the house, and walking 400 yards. They also reported whether or not they had shortness of breath when walking up hills, and when walking with others at the same age, or a fall within the last 12 months. The α reliability was 0.85.
Participation in physical activities
The participants reported the frequency of their participation in each of 22 activities using a five-point response scale, where response options for each activity were coded as 1: “never”, 2: “less than monthly”, 3: “monthly”, 4: “weekly”, and 5: “three or more times a week”. The factor analysis of these 22 activities led to the identification of six factors which had an eigen value greater than one. Varimax rotation with Kaiser normalisation was used to maximise the variance of the factor loading with values greater than 0.5 used as the cut-point. Three of those activities were interpreted as one factor “physical activity”, which covers participation in (1) gardening and DIY (Do-It-Yourself), (2) visiting the coast, rivers, parks and countryside and (3) doing physical exercise including ball games, golf, jogging, walking, and bowls. Respondents who reported participating in any of three activities three or more times a week were characterized as regular participants in physical activity.
In this study, the neighbourhood was defined as a 400 meter (a quarter-mile) radial buffer around an individual’s home, where a person could walk at a 3 mph pace for about five minutes. This definition has been widely applied in other studies on older adults [33, 39, 40] and is consistent with a recent qualitative study showing that the perceived walkable neighbourhood for older adults (aged 65 years or over) in the UK is around 400 meters . We used two different measures to capture the characteristics of the neighbourhood green space: the quantity of green space and the variation in neighbourhood vegetation.
The area type is based on the rural and urban classification for census output areas 2004 by the Office for National Statistics . This indicator is based on the population density: a census output area (OA) with over 10,000 people is defined as an urban area, while an output area with fewer than 10,000 people is a non-urban area. This variable contrasts residence in an urban area with residence in suburbs, small towns and rural areas. The area deprivation classification is based on the Townsend deprivation score from the 2001 Census , categorised into quintiles (highest, high, middle, low and lowest deprivation).
The physical activity outcome was modelled as a binary variable using logistic regression where respondents who reported participation in any of three activities three or more times a week were characterized as regular participants in physical activity, whereas the others were characterised as irregular participants in physical activity.
Initially we tested the effect of neighbourhood green space (the quantity of green space, the variation in vegetation) adjusted for area type and area deprivation in Model 1. We modelled the amount of neighbourhood green space as a standardized z-score to make it easier to interpret the effect of neighbourhood green space on participation in physical activities. We then adjusted for lower extremity physical function, psychological distress, general health, car ownership, age group, marital status, social class and education level in Model 2. Finally we tested the modifying effect of lower extremity physical function by adding interaction terms (i.e. the amount of green space × lower extremity physical function, variation in vegetation × lower extremity physical function) to the full model fitted for the entire population. The p-value from the interaction term was used to determine if there was a statistically significant effect in physical activity participation between different levels of physical function over neighbourhood green space. If the interaction term reached statistical significance, we computed the predicted probabilities from the interaction model for subjects with poor and good lower extremity physical function, while holding covariates in the model constant at their means.
The missing socio-demographic and health status data was accounted for using multiple imputation by chained equations, including all individual variables in imputation models . A total of five imputations were used to derive adjusted pooled odds ratios with 95% confidence intervals. All statistical analyses were performed using IBM PASW (version 18) and STATA (version 12).
Descriptive statistics for individuals and their neighbourhoods
Lower extremity physical function
N = 1010
CSE and above
Single, windowed, divorced, separated
One or more cars
Lower extremity physical function
Neighbourhood green space
Amount of green space (%)
Variation in vegetation
Frequency of physical activity participation
The 1,010 participants lived in 486 neighbourhoods and 80% lived in urban areas. The amount of neighbourhood green space varied from 9.3% to 75.2%, with mean 32% (SD = 0.12). Descriptive statistics and group comparison of the variables for participants with good and poor lower extremity physical function showed that on average subjects with poor lower extremity physical function lived in less green neighbourhoods (Table 1).
The association between physical activity and neighbourhood green space
Odd Ratios (OR) for reported regular participation in physical activities
N = 1010
Amount of neighbourhood green spacec (%)
High variation in vegetation (vs. low)
Non-urban area (vs. urban area)
Townsend deprivation scores (vs. lowest deprivation)
Good lower extremity physical function (vs. poor)
No psychological distress (vs. yes)
Good general health (vs. poor)
CSE-level and above education (vs. no)
Own one or more car (vs. none)
Age <=75 (vs. >75)
Married (vs. single, window, divorced)
Manual social class (vs. non-manual)
Odd Ratios for the interaction between the amount of neighbourhood green space and lower extremity physical function for reported regular participation in physical activities
Model 3, N = 1010a
Amount of neighbourhood green spaced (%)
High variation in neighbourhood vegetation (vs. low)
Good lower extremity physical function (vs. poor)
Amount of neighbourhood green space X good lower extremity physical function (vs. poor)
Interaction between the variation in neighbourhood vegetation and lower extremity physical function
Odd Ratios for the interaction between variation in neighbourhood vegetation and lower extremity physical function for reported regular participation in physical activities
Model 4, N = 1010a
Amount of neighbourhood green spaced (%)
High variation in neighbourhood vegetation (vs. low)
Good lower extremity physical function (vs. poor)
High variation in neighbourhood vegetation X good lower extremity physical function (vs. low variation and poor)
This study investigated the association between neighbourhood green space and participation in physical activity among elderly men with different levels of lower extremity physical function. Our first main finding is that the amount of neighbourhood green space was significantly associated with regular physical activity, regardless of lower extremity physical function level. The likelihood of regular physical activity was higher for those with good lower extremity physical function than for those with poor lower extremity physical function.
One possible underlying mechanism for this association is the opportunity that green space gives for increased physical activity. For example, people are more likely to walk, exercise and tend the garden in a greener environment. Similar observations were obtained among younger adults (aged 26-58 years) in England: people living in the greenest quintile Middle Layer Super Output Area (MSOA) were more likely to achieve the recommended amount of physical activity through different forms of physical activity, including gardening, DIY and occupational physical activity, compared to those living in the least green quintile .
Second, we observed a statistically significant interaction between variation in neighbourhood vegetation and lower extremity physical function, as they related to regular physical activity. Living in a neighbourhood with high variation in neighbourhood vegetation was significantly and negatively associated with participation in regular physical activity, but this adverse effect of high variation neighbourhoods was significantly reduced for subjects reporting good lower extremity physical function, compared to those reporting poor lower extremity physical function.
The positive and negative effect (for good and poor lower extremity physical function, respectively) of variation in neighbourhood vegetation on participation in physical activities was surprising. Low variation in neighbourhood vegetation suggests that most vegetation within a neighbourhood has a similar NDVI value. For example, the majority of vegetation would either have low NDVI values (e.g. grass field, shrub) or high NDVI values (e.g. dense trees, forests, and woodland). In contrast, high variation indicates that mixed vegetation (both high and low NDVI values) exists within the neighbourhood. It is possible that living in a neighbourhood with more homogeneous vegetation (i.e. low variation) is associated with fewer obstacles and challenges for those reporting poor lower extremity physical function to take part in physical activity, whereas high variation in vegetation might be more attractive for those reporting good lower extremity physical function.
Our results are consistent with the findings from three other studies which found that the effect of the neighbourhood environment on physical activity levels among older adults varies according to their level of lower extremity physical function [31–33]. If people are more likely to walk, exercise, garden and DIY in a greener environment, neighbourhood green space may have a role in supporting and maintaining active ageing for those individuals with limited physical function, as the provision of green space is modifiable through the planning process. This has implications for planning policy to design, preserve, facilitate and encourage the use of green space near home. More importantly, green space provision could have a more significant equity impact on those with different levels of lower extremity physical function. In addition, our results showed that relative to general physical and mental health, lower extremity physical function is an important factor associated with regular participation in physical activity. This is consistent with previous finding that better functional status was associated with greater physical activity in older age [52–57].
The strengths of this study include the use of a well-characterized established cohort with careful face-to-face measurement of all the variables. We used an objective measurement of neighbourhood green space at a fine spatial scale (3 meters). The green space in our analysis included both those formal and informal public green spaces (i.e. parks, playing fields, woods, road-side trees and roundabouts), and also those in private domains (i.e. private gardens). This is because the factor analysis of 22 activities suggested that gardening was in the same factor with the other physical activities and we recognised that gardening is an activity which could take place in a private space.
Limitations of this study include the cross-sectional study design which cannot establish causality. We used a self-reported frequency of physical activity and were limited by treating physical activity participation as a binary variable. All three activities have been treated equally although the intensity of activities may have varied from light-intensity at short duration to high-intensity at long duration. This could be further improved by applying pedometers and accelerometers to measure physical activity more accurately in future studies. The postcode centroids rather than the actual address were used to present participants’ home locations in the analysis, due to the availability of the data. The 400 meters radius buffer around postcode centroids might also not match exactly with the definitions of a neighbourhood as judged by an individual. Future studies could combine objective and perceived definitions of individual’s neighbourhood in their analyses. The study only focused on men and the associations might be different in women. There was a two-year mismatch on the data period of neighbourhood green space (2006) and the survey data (2004) due to green space data availability. However, it is highly unlikely that green space in Caerphilly changed significantly between those two years. First, the population of Caerphilly borough was estimated at 170,800 in mid-2004, only 300 fewer than in mid-2006 . Such little variation suggested Caerphilly has been a relatively stable town characterized by low-density. Second, the studied area has not been subjected to any large-scale greening policy during those two years.
Finally, we lacked information on traffic and the quality of neighbourhood green space. It is possible that areas with less green space have more traffic, which may hinder older adults from participation in physical activity through visiting parks and open space. This needs to be investigated in future studies. Previous studies suggested that the quality of green space (e.g. aesthetic features) may play a role in the association , and people living in the most deprived areas in the UK are more likely to experience the poorest quality [60, 61]. Arguably, we used urban/non-urban classification and area deprivation as a rather crude proxy for the quality of green space as with previous analyses and adjusted for these in the models.
This study further contributes to the research evidence on the effects of neighbourhood green space on physical activity participation among elderly men with different levels of lower extremity physical function. Our results suggest that elderly men living in neighbourhoods with more green space participate in more regular physical activity. The association between variation in neighbourhood vegetation and regular physical activity varied according to physical function. Subjects reporting poor lower extremity physical function living in neighbourhoods with more homogeneous vegetation (i.e. low variation) were more likely to participate in regular physical activity than those living in neighbourhoods with less homogeneous vegetation (i.e. high variation). Good lower extremity physical function reduced the adverse effect of high variation in neighbourhood vegetation on participation in regular physical activity. Our work provides a basis for the future development of novel interventions that aim to support active ageing and increase levels of physical activity in later life. Policy makers should consider neighbourhood green space as a resource that supports elderly people’s participation in physical activity.
The Caerphilly Study was initiated by the former MRC Epidemiology Unit (South Wales) and was funded by the Medical Research Council of the United Kingdom. The fifth phase was funded by the Alzheimer’s Society. The authors thank the UK Landmap Service and Bluesky International Limited for supplying the aerial photography data for Caerphilly borough.
- Menec VH: The relation between everyday activities and successful aging: a 6-Year longitudinal study. J Gerontol Series B: Psychol Sci Soc Sci. 2003, 58 (2): S74-S82.View ArticleGoogle Scholar
- Lemon BW, Bengtson VL, Peterson JA: An exploration of the activity theory of aging: activity types and life satisfaction among in-movers to a retirement community. J Gerontol. 1972, 27 (4): 511-523.View ArticleGoogle Scholar
- Bowling A, Gabriel Z, Dykes J, Dowding L, Evans O, Fleissig A, Banister D, Sutton S: Let’s ask them: a national survey of definitions of quality of life and its enhancement among people aged 65 and over. Int J Aging Hum Dev. 2003, 56 (4): 269-306.View ArticleGoogle Scholar
- Van der Meer MJ: The sociospatial diversity in the leisure activities of older people in the Netherlands. J Aging Stud. 2008, 22: 1-12.View ArticleGoogle Scholar
- Clarke P, George L: The role of the built environment in the disablement process. Am J Public Health. 2005, 95 (11): 1933-1939.View ArticleGoogle Scholar
- Cunningham GO, Michael YL: Concepts guiding the study of the impact of the built environment on physical activity for older adults: a review of the literature. Am J Health Promot. 2004, 18 (6): 435-443.View ArticleGoogle Scholar
- Van Cauwenberg J, De Bourdeaudhuij I, De Meester F, Van Dyck D, Salmon J, Clarys P, Deforche B: Relationship between the physical environment and physical activity in older adults: a systematic review. Health Place. 2011, 17 (2): 458-469.View ArticleGoogle Scholar
- Kerr J, Rosenberg D, Frank L: The role of the built environment in healthy aging community design, physical activity, and health among older adults. J Plann Lit. 2012, 27 (1): 43-60.View ArticleGoogle Scholar
- Kaczynski AT, Potwarka LR, Saelens BE: Association of park size, distance, and features with physical activity in neighborhood parks. Am J Public Health. 2008, 98 (8): 1451-1456.View ArticleGoogle Scholar
- Giles-Corti B, Broomhall MH, Knuiman M, Collins C, Douglas K, Ng K, Lange A, Donovan RJ: Increasing walking: how important is distance to, attractiveness, and size of public open space?. Am J Prev Med. 2005, 28 (Supplement 2): 169-176.View ArticleGoogle Scholar
- Koohsari MJ, Karakiewicz JA, Kaczynski AT: Public open space and walking: the role of proximity, perceptual qualities of the surrounding built environment, and street configuration. Environ Behav. 2013, 45 (6): 706-736.View ArticleGoogle Scholar
- Coombes E, Jones AP, Hillsdon M: The relationship of physical activity and overweight to objectively measured green space accessibility and use. Soc Sci Med. 2010, 70 (6): 816-822.View ArticleGoogle Scholar
- Sugiyama T, Francis J, Middleton NJ, Owen N, Giles-Corti B: Associations between recreational walking and attractiveness, size, and proximity of neighborhood open spaces. Am J Public Health. 2010, 100 (9): 1752-1757.View ArticleGoogle Scholar
- Li F, Fisher KJ, Brownson RC, Bosworth M: Multilevel modelling of built environment characteristics related to neighbourhood walking activity in older adults. J Epidemiol Commun Health. 2005, 59 (7): 558-564.View ArticleGoogle Scholar
- Kemperman A, Timmerman H: Influences of built environment on walking and cycling by latent segments of aging population. Transportation Res Rec: J Transportation Res Board. 2009, 2134 (-1): 1-9.View ArticleGoogle Scholar
- Hanibuchi T, Kawachi I, Nakaya T, Hirai H, Kondo K: Neighborhood built environment and physical activity of Japanese older adults: results from the Aichi Gerontological Evaluation Study (AGES). BMC Public Health. 2011, 11: 657.View ArticleGoogle Scholar
- Garmendia ML, Dangour AD, Albala C, Eguiguren P, Allen E, Uauy R: Adherence to a physical activity intervention among older adults in a post-transitional middle income country: a quantitative and qualitative analysis. J Nutr Health Aging. 2012, 17 (5): 466-471.View ArticleGoogle Scholar
- Gómez LF, Parra DC, Buchner D, Brownson RC, Sarmiento OL, Pinzón JD, Ardila M, Moreno J, Serrato M, Lobelo F: Built environment attributes and walking patterns among the elderly population in Bogotá. Am J Prev Med. 2010, 38 (6): 592-599.View ArticleGoogle Scholar
- Strain LA, Grabusic CC, Searle MS, Dunn NJ: Continuing and ceasing leisure activities in later life: a longitudinal study. Gerontologist. 2002, 42 (2): 217-223.View ArticleGoogle Scholar
- Chou KL, Chow NWS, Chi I: Leisure participation amongst Hong Kong Chinese older adults. Ageing Soc. 2004, 24 (04): 617-629.View ArticleGoogle Scholar
- Lawton M: The impact of the environment on aging and behavior. Handb Psychol Aging. 1977, 2: 276.Google Scholar
- Ahern A, Hine J: Rural transport – valuing the mobility of older people. Res Transportation Econ. 2012, 34: 27-34.View ArticleGoogle Scholar
- Glass T, Balfour J: Neighborhoods, aging, and functional limitations. Neighborhoods and Health. Edited by: Kawachi I, Berkman LF. 2003, New York: Oxford University Press, 303-334.View ArticleGoogle Scholar
- Bird S, Radermacher H, Feldman S, Sims J, Kurowski W, Browning C, Thomas S: Factors influencing the physical activity levels of older people from culturally-diverse communities: an Australian experience. Ageing Soc. 2009, 29 (Special Issue 08): 1275-1294.View ArticleGoogle Scholar
- Richard L, Gauvin L, Gosselin C, Laforest S: Staying connected: neighbourhood correlates of social participation among older adults living in an urban environment in Montréal, Québec. Health Promot Int. 2009, 24: 46-57.View ArticleGoogle Scholar
- Kerr J, Sallis J, Saelens B, Cain K, Conway T, Frank L, King A: Outdoor physical activity and self rated health in older adults living in two regions of the U.S. Int J Behav Nutrit Phys Act. 2012, 9: 89.View ArticleGoogle Scholar
- Persson A, While A: Physical activity among older people and related factors. Health Educ J. 2012, 71 (2): 144-153.View ArticleGoogle Scholar
- Eyler AA, Brownson RC, Bacak SJ, Housemann RA: The epidemiology of walking for physical activity in the United States. Med Sci Sports Exerc. 2003, 35 (9): 1529-1536.View ArticleGoogle Scholar
- Ervin R: Prevalence of functional limitations among adults 60 years of age and over: United States, 1999–2002. Adv Data. 2006, 375: 1-7.Google Scholar
- Shumway-Cook A, Patla A, Stewart A, Ferrucci L, Ciol MA, Guralnik JM: Environmental components of mobility disability in community-living older persons. J Am Geriatr Soc. 2003, 51 (3): 393-398.View ArticleGoogle Scholar
- Gallagher NA, Clarke PJ, Ronis DL, Cherry CL, Nyquist L, Gretebeck KA: Influences on neighborhood walking in older adults. Res Gerontol Nurs. 2012, 5 (4): 238-250.View ArticleGoogle Scholar
- King AC, Sallis JF, Frank LD, Saelens BE, Cain K, Conway TL, Chapman JE, Ahn DK, Kerr J: Aging in neighborhoods differing in walkability and income: associations with physical activity and obesity in older adults. Soc Sci Med. 2011, 73 (10): 1525-1533.View ArticleGoogle Scholar
- Satariano WA, Ivey SL, Kurtovich E, Kealey M, Hubbard AE, Bayles CM, Bryant LL, Hunter RH, Prohaska TR: Lower-body function, neighborhoods, and walking in an older population. Am J Prev Med. 2010, 38 (4): 419-428.View ArticleGoogle Scholar
- Elwood P: Caerphilly and speedwell collaborative heart disease studies. J Epidemiol Commun Health. 1984, 38 (3): 259-262.View ArticleGoogle Scholar
- University of Bristol: Caerphilly Prospective Study. 2007, http://www.bris.ac.uk/social-community-medicine/projects/caerphilly/.Google Scholar
- Office for Population Censuses and Surveys: Standard Occupational Classification. Volume 3 London, HMSO, 1991Google Scholar
- Haley SM, Jette AM, Coster WJ, Kooyoomjian JT, Levenson S, Heeren T, Ashba J: Late life function and disability instrument: II. development and evaluation of the function component. J Gerontol Series A: Biol Sci Med Sci. 2002, 57 (4): M217-M222.View ArticleGoogle Scholar
- Guralnik JM, Ferrucci L: Assessing the building blocks of function: utilizing measures of functional limitation. Am J Prev Med. 2003, 25 (3, Supplement 2): 112-121.View ArticleGoogle Scholar
- Berke EM, Gottlieb LM, Moudon AV, Larson EB: Protective association between neighborhood walkability and depression in older men. J Am Geriatr Soc. 2007, 55 (4): 526-533.View ArticleGoogle Scholar
- Berke EM, Koepsell TD, Moudon AV, Hoskins RE, Larson EB: Association of the built environment with physical activity and obesity in older persons. Am J Public Health. 2007, 97 (3): 486-492.View ArticleGoogle Scholar
- Smith G, Gidlow C, Davey R, Foster C: What is my walking neighbourhood? A pilot study of English adults’ definitions of their local walking neighbourhoods. Int J Behav Nutr Phys Act. 2010, 7: 34.View ArticleGoogle Scholar
- NASA: NASA Landsat 7 science data user’s handbook. 2011, http://landsathandbook.gsfc.nasa.gov/.Google Scholar
- Rhew IC, Vander Stoep A, Kearney A, Smith NL, Dunbar MD: Validation of the normalized difference vegetation index as a neasure of neighborhood greenness. Ann Epidemiol. 2011, 21 (12): 946-952.View ArticleGoogle Scholar
- Liu G, Wilson J, Qi R, Ying J: Green neighborhoods, food retail and childhood overweight: differences by population density. Am J Health Promot. 2007, 21 (4): 317-325.View ArticleGoogle Scholar
- Bell JF, Wilson JS, Liu GC: Neighborhood greenness and 2-Year changes in body mass index of children and youth. Am J Prev Med. 2008, 35 (6): 547-553.View ArticleGoogle Scholar
- Pereira G, Foster S, Martin K, Christian H, Boruff B, Knuiman M, Giles-Corti B: The association between neighborhood greenness and cardiovascular disease: an observational study. BMC Public Health. 2012, 12: 466.View ArticleGoogle Scholar
- Villeneuve PJ, Jerrett M, G Su J, Burnett RT, Chen H, Wheeler AJ, Goldberg MS: A cohort study relating urban green space with mortality in Ontario, Canada. Environ Res. 2012, 115: 51-58.View ArticleGoogle Scholar
- Office for NationalStatistics: Rural and urban statistics guidance notes. 2004, http://www.ons.gov.uk/ons/guide-method/geography/products/area-classifications/rural-urban-definition-and-la/rural-urban-definition--england-and-wales-/index.html.Google Scholar
- Townsend P, Phillimore P, Beattie A: Health and Deprivation: Inequalities and the North. 1988, London: Croom HelmGoogle Scholar
- White IR, Royston P, Wood AM: Multiple imputation using chained equations: issues and guidance for practice. Stat Med. 2011, 30 (4): 377-399.View ArticleGoogle Scholar
- Mytton OT, Townsend N, Rutter H, Foster C: Green space and physical activity: an observational study using health survey for England data. Health Place. 2012, 18 (5): 1034-1041.View ArticleGoogle Scholar
- Janke M, Davey A, Kleiber D: Modeling change in older adults’ leisure activities. Leis Sci. 2006, 28 (3): 285-303.View ArticleGoogle Scholar
- Paillard-Borg S, Wang HX, Winblad B, Fratiglioni L: Pattern of participation in leisure activities among older people in relation to their health conditions and contextual factors: a survey in a Swedish urban area. Ageing Soc. 2009, 29 (05): 803-821.View ArticleGoogle Scholar
- Paterson DH, Warburton DER: Physical activity and functional limitations in older adults: a systematic review related to Canada’s physical activity guidelines. Int J Behav Nutr Phys Act. 2010, 7: 38.View ArticleGoogle Scholar
- Hall KS, McAuley E: Examining indirect associations between physical activity, function, and disability in independent-and assisted-living residents. J Phys Act Health. 2011, 8 (5): 716-723.Google Scholar
- Santos DA, Silva AM, Baptista F, Santos R, Vale S, Mota J, Sardinha LB: Sedentary behavior and physical activity are independently related to functional fitness in older adults. Exp Gerontol. 2012, 47 (12): 908-912.View ArticleGoogle Scholar
- McMurdo MET, Argo I, Crombie IK, Feng Z, Sniehotta FF, Vadiveloo T, Witham MD, Donnan PT: Social, environmental and psychological factors associated with objective physical activity levels in the over 65s. PLoS ONE. 2012, 7 (2): e31878.View ArticleGoogle Scholar
- Office for NationalStatistics: Mid-year population estimates. 2012, http://www.ons.gov.uk/ons/rel/pop-estimate/population-estimates-for-england-and-wales/mid-2012/mid-2012-population-estimates-for-england-and-wales.html.Google Scholar
- Van Dillen SME, de Vries S, Groenewegen PP, Spreeuwenberg P: Greenspace in urban neighbourhoods and residents’ health: adding quality to quantity. J Epidemiol Commun Health. 2012, 66 (6): e8.View ArticleGoogle Scholar
- Mitchell R, Popham F: Greenspace, urbanity and health: relationships in England. J Epidemiol Commun Health. 2007, 61 (8): 681-683.View ArticleGoogle Scholar
- Fairburn J, Walker G, Mitchell G: Investigating environmental justice in Scotland: links between measures of environmental quality and social deprivation. Scotland and Northern Ireland Forum for Environmental Research, 2005, http://www.staffs.ac.uk/schools/sciences/geography/links/IESR/downloads/environmentaljusticescotland.pdf
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