Abstract
Objective
The neighbourhood built environment may affect walking behaviour of elders. However, such effects remain underexplored, especially in an Asian context. We examined associations of perceived environmental attributes with overall and neighbourhood-specific walking for transport in a sample of Chinese elders residing in Hong Kong, an ultra-dense Chinese metropolis.
Design
Cross-sectional observational study using a two-stage stratified sampling strategy.
Setting
Hong Kong, China.
Subjects
Chinese-speaking elders (n 484), with no cognitive impairment and able to walk without assistance, residing in thirty-two selected communities stratified by socio-economic status and walkability, were interviewer-administered validated measures of perceived neighbourhood environment and walking for transport.
Results
Much higher levels of transport-related walking (mean 569 (sd 452) min/week) than found in Western samples were reported. The degree of perceived access to shops, crowdedness, presence of sitting facilities and easy access of residential entrance were independently positively related to both frequency of overall and within-neighbourhood walking for transportation. Infrastructure for walking and access to public transport were predictive of higher frequency of transport-related walking irrespective of location, while the perceived degree of land-use mix was predictive of higher levels of within-neighbourhood walking.
Conclusions
The provision of easy access to shops, residential entrances and sitting facilities in the neighbourhood may promote overall transport-related walking, while a good public transport network and pedestrian infrastructure linking destination-poor with destination-rich locations may compensate for the detrimental effects of living in less walkable neighbourhoods. Governmental investment in these micro- and macro-environmental features would help the promotion of an active lifestyle in elders.
Keywords: Walking for transport, Elderly, China, Neighbourhood environment
Although it is well known that regular engagement in moderate-intensity physical activity, such as walking, can contribute to healthy ageing( 1 , 2 ), a large percentage of elders are insufficiently active( 3 ). These low levels of activity have been in part attributed to unfavourable neighbourhood environmental characteristics( 4 – 6 ). The identification of attributes of the neighbourhood built environment related to walking can help shape policies and interventions aimed at promoting an active lifestyle across the lifespan. This is especially the case for walking for transportation, which has shown sharper declines across time than recreational walking( 7 ), and can considerably contribute to the overall habitual patterns of physical activity in populations( 8 ).
Research on environmental correlates of walking for transportation in elders has been limited in quantity, geographical locations, appropriateness of measures( 6 ) and geographical specificity( 9 ). According to a recent review, only six studies reported on neighbourhood characteristics related to walking for transportation( 6 ). They found some evidence that land-use mix, residential density, access to commercial destinations and services( 10 ), access to public transport( 11 ), street connectivity and crime-related safety( 12 ) may facilitate regular walking for utilitarian purposes in elders. Yet these findings are based on a handful of studies conducted in relatively homogeneous Western environments, which makes it difficult to draw conclusions relevant to elders living in other geographical locations( 6 ).
None of the above studies was conducted in Asia. Asian ultra-dense metropolises present unique environmental characteristics (e.g. crowdedness, pollution and an efficient public transport network) that may directly or interactively affect the walking behaviour of elders in yet undocumented ways( 13 ). The information gained from studying Asian metropolises not only has local relevance. It can clarify dose–response relationships between environmental attributes and transport-related walking at the higher end of the urban density spectrum and thus inform policies and interventions globally. Given that virtually all studies on the environment–walking relationships in older adults have been conducted in relatively low-density areas with relatively low variability in environmental factors, they cannot provide information on the potential effects of high levels of urban density and destination mix on walking behaviour.
Studies on environmental correlates of walking also need to be geographically specific( 9 ). Since walking occurs within and outside one's neighbourhood of residence, a thorough investigation of the potential effects of the neighbourhood environment on walking behaviour ought to consider where walking for a specific purpose occurs. Yet, to our knowledge, only three studies have examined walking location and purpose( 14 – 16 ), none of which were conducted in older adults. Geographical specificity is bound to be particularly important within an Asian urban context where the compactness of the built environment and a developed and affordable public transport network provide those living in less-walkable neighbourhoods with easy access to walkable areas. Under such circumstances, ignoring where walking for specific purposes occurs may result in the erroneous conclusion that the neighbourhood environment does not affect walking. In reality, favourable neighbourhood characteristics may be positively associated with within-neighbourhood walking, while, in the presence of a good public-transportation network, unfavourable neighbourhood characteristics may be positively associated with outside-neighbourhood walking.
The need for a high level of specificity extends also to the identification of sociodemographic moderators of the relationships between environmental attributes and walking for specific purposes( 6 ). For example, associations of neighbourhood attributes with walking were found to differ by gender( 17 ) and age( 10 ). When planning environmental interventions aimed to facilitate walking, it is important to ensure that these interventions address the needs of the most vulnerable inactive groups (e.g. older elders and less educated). The relative lack of significant environment–walking relationships observed in the limited number of published studies could be partly attributable to sociodemographic differentials in effects( 6 ).
To address the research gaps outlined above, we examined associations of perceived environmental attributes with overall and neighbourhood-specific walking for transport in a representative sample of Chinese-speaking elders residing in Hong Kong, an ultra-dense Chinese metropolis. In doing so, we used validated exposure and outcome measures adapted for the target population( 13 , 18 , 19 ). Both frequency and total minutes of transport-related walking were examined since the level of access and diversity of destinations in a neighbourhood may have greater effects on frequency than duration of transport-related walking. In fact, destination-rich neighbourhoods may require shorter walking trips than those with poorer access to destinations. Additionally, respondents may be more accurate in reporting walking frequency than duration( 18 , 19 ), which would then result in attenuated relationships of total minutes of walking with perceived environmental attributes due to greater measurement error. We hypothesized that measures of perceived availability of destinations (i.e. diversity of destinations, access to shops, access to public transport)( 10 – 12 , 20 ), accessibility of destinations (e.g. pedestrian infrastructure)( 10 , 12 , 20 ), aspects pertaining to personal safety (e.g. presence of people and safety from crime)( 20 – 22 ) and availability of places for sitting( 22 – 24 ) would be positively related to walking for transportation. Perceived residential density, crowdedness and traffic load were expected to show a curvilinear, inverted-J relationship with walking for transport. This is because, although such characteristics often typify areas rich in destinations supportive of utilitarian walking( 25 , 26 ), the discomfort and risks of falls associated with extreme levels of density may potentially act as a deterrent to walking in elders( 27 ). We expected the above associations to be stronger with within-neighbourhood than overall measures of walking, with the exception of access to public transport which is especially relevant for walking undertaken outside the neighbourhood. Apart from exploring the main effects of perceived environmental attributes with walking for transport, we also examined whether these effects vary across genders( 17 ), age groups( 10 ) and educational attainment( 28 ), as previous studies suggested such moderating effects. We hypothesized that stronger associations of walking measures and perceived environmental attributes would be observed in older elders since they tend to be less mobile and, thus, likely more dependent on the local environment. As the moderating effects of gender and educational attainment may differ across cultures and prior findings were based on Western populations, no specific hypotheses were formulated in this regard.
Methods
Participants
The present study used data on a sample of 484 Hong Kong elders (response rate: 78 %) recruited from membership lists of four out of eighteen Hong Kong Elderly Health Centres (EHC) representing catchment areas of low and high transport-related walkability stratified by low and high socio-economic status (SES). The SES level of EHC catchment areas was operationalized using census data on median monthly household income and percentage of owner-occupiers. Transport-related walkability was established using Census and Centamap (www.centamap.com) data on household, intersection and commercial/service destination densities( 13 ). The EHC were first ranked by the SES of their catchment area. Low- and high-SES EHC (defined as such based on median split) were then separately ranked by the walkability of their catchment area (based on the three indicators mentioned above). The EHC with the bottom and top scores on walkability were selected from the low- and high-SES lists of EHC to represent the following strata: high walkable/low SES; high walkable/high SES; low walkable/low SES; and low walkable/high SES. The EHC were established by the Department of Health of the Hong Kong Special Administrative Region to provide membership-based comprehensive primary care services to residents aged ≥65 years. They have ∼38 500 members, who are representative of the general Hong Kong population( 29 ). Details about the sampling procedure have been provided elsewhere( 13 ). The sample's sociodemographic characteristics are presented in Table 1.
Table 1.
Variable (range) | % | Mean | sd | Median | IQR |
---|---|---|---|---|---|
Sociodemographic characteristics | |||||
Gender, male | 42 | ||||
Age | |||||
65–74 years | 67 | ||||
75–84 years | 31 | ||||
≥85 years | 2 | ||||
Educational attainment | |||||
Secondary or above | 39 | ||||
Primary | 48 | ||||
No formal education but can read and write | 10 | ||||
Illiterate | 3 | ||||
Walking for transport | |||||
NWQ-CS: frequency (trips in usual week) – within neighbourhood | 11·5 | 10·6 | 7·0 | 8·0 | |
NWQ-CS: weekly minutes (usual week) – within neighbourhood | 254 | 262 | 175 | 290 | |
IPAQ-LC: frequency (days in last week) – all locations | 6·5 | 1·3 | 7·0 | 0·0 | |
IPAQ-LC: weekly minutes (last week) – all locations | 569 | 452 | 420 | 630 | |
Perceived environmental attributes† (range) | |||||
Residential density (263–1026) | 680 | 108 | |||
Land-use mix – diversity (1–5) | 3·8 | 0·6 | |||
Land-use mix – access to shops (1–4) | 3·8 | 0·6 | |||
Access to public transport (1-4) | 3·8 | 0·4 | |||
Street connectivity (1–4) | 3·7 | 0·5 | |||
Infrastructure for walking (1–4) | 3·8 | 0·3 | |||
Indoor places for walking (1–4) | 2·7 | 1·0 | |||
Physical barriers to walking (1–4) | 1·4 | 0·6 | |||
Presence of people (1–4) | 3·7 | 0·5 | |||
Crowdedness (1–4) | 1·6 | 0·8 | |||
Traffic and road hazards (1–4) | 1·7 | 0·6 | |||
Crime (1–4) | 1·3 | 0·6 | |||
Bridge/overpass connecting to services (1–4) | 2·0 | 1·2 | |||
Easy access of residential entrance (1–4) | 3·5 | 1·0 | |||
Sitting facilities (1–4) | 2·8 | 1·1 |
IQR, interquartile range; NWQ-CS, Neighbourhood Walking Questionnaire – Chinese version for Seniors; IPAQ-LC, Chinese version of the International Physical Activity Questionnaire – Long Form.
†All perceived environmental attributes except for Residential density and Land-use mix – diversity were assessed using a 4-point Likert scale. Land-use mix – diversity was assessed by the perceived walking proximity from home to a list of destinations, with responses ranging from 1–5 min (5) to >30 min (1) walking distance. Residential density items used a 5-point scale with ratings weighted relative to the average residential density that a specific item represents(13).
Measures
Perceived neighbourhood environmental characteristics postulated to be related to walking were assessed using the Neighbourhood Environment Walkability Scale for Chinese Seniors (NEWS-CS)( 13 ), a validated questionnaire adapted for Chinese elders and based on the Neighborhood Environment Walkability Scale( 25 , 30 ). For the purpose of the present study, we used subscales assessing: perceived availability of destinations (land-use mix – diversity, land-use mix – access to shops, access to public transport); features related to accessibility and pedestrian infrastructure (street connectivity, infrastructure for walking, indoor places for walking, physical barriers to walking, easy access of residential entrance (e.g. presence of lift that can be used)); density (residential density (estimated based on the reported types of buildings in the neighbourhood) and crowdedness (crowded streets)); personal safety (presence of people and crime); traffic load; and availability of sitting facilities (e.g. benches).
Weekly frequency and total minutes of transport-related walking within the neighbourhood (in a usual week) were assessed via the Neighbourhood Walking Questionnaire – Chinese version for Seniors (NWQ-CS)( 18 ), adapted from the Neighbourhood Physical Activity Questionnaire( 31 ). Participants reported the frequency and duration (total minutes per week) of walking for transport undertaken within their neighbourhood (defined as an area up to a 15 min walk from home). Last 7 d weekly frequency (number of days) and minutes of walking for transport, irrespective of location, were assessed using the Chinese version of the International Physical Activity Questionnaire – Long Form (IPAQ-LC)( 32 ). The IPAQ-LC has been validated in Hong Kong elders, showing repeatability and validity similar to those of international studies( 19 ).
Procedure
The study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects were approved by the ethics committees of the participating institutions. Eight street blocks with at least twenty-five residing EHC members were randomly selected without replacement in each of four EHC catchment areas. Approximately fifteen participants aged ≥65 years, with no diagnosed cognitive impairment and able to walk unassisted, were recruited from each selected block via an invitation letter followed up by a telephone call. They took part in a face-to-face interviewer-administered survey after providing written informed consent. The survey included the above-mentioned questionnaires. Participants were offered grocery vouchers as participation incentives after the successful completion of the interview.
Data analysis
Descriptive statistics were computed for all variables. Given that all outcome variables were positively skewed, generalized additive mixed models (GAMM) with negative binomial and logarithmic link functions were used to estimate the strength and shape of the associations of perceived environmental attributes with weekly frequency and minutes of walking for transport( 33 ). Random intercepts were specified to account for clustering in the data, i.e. the fact that respondents were sampled from selected street blocks. All continuous variables were centred around their mean before including them in the regression models. A first set of models estimated the relationships of sociodemographic characteristics with the outcome variables. A second set of models estimated the dose–response relationships of single perceived environmental attributes with the outcomes, adjusting for sociodemographic covariates. Two-way interaction effects of gender, age and educational attainment by environmental variables were assessed in a third set of models. All perceived environmental attributes that yielded main and/or interaction effects significant at a 0·05 probability level were included in multiple-predictor models of weekly frequency and minutes of transport-related walking. The absolute values of bivariate correlations between environmental variables ranged from 0·01 to 0·52 (average r = 0·19). Hence, multicollinearity was not a problem. All variables and interaction terms that remained significant were retained in final sets of main and main plus interaction effect models, respectively. All analyses were conducted in R( 34 ) using the package ‘mgcv’( 33 ).
Results
Levels of walking and sociodemographic correlates
High levels of transportation-related walking, perceived residential density, land-use mix – diversity, access to shops and public transport, infrastructure for walking, street connectivity and presence of people, and low levels of crime, were reported. No gender differences were observed in transport-related walking, while respondents with higher educational attainment tended to report 37 % (95 % CI 18 %, 52 %) lower frequency and 29 % (95 % CI 11 %, 43 %) fewer weekly minutes of within-neighbourhood walking than their less educated counterparts. They also reported 22 % (95 % CI 8 %, 35 %) lower overall amounts of transport-related walking. Compared with younger elders, older elders (aged ≥75 years) engaged 8 % (95 % CI 3 %, 12 %) and 36 % (95 % CI 17 %, 50 %) less frequently in within-neighbourhood and overall transport-related walking, respectively. They also engaged in 15 % (95 % CI 0 %, 30 %) and 56 % (95 % CI 42 %, 67 %) fewer weekly minutes of within-neighbourhood and overall transport-related walking, respectively.
Associations of perceived environmental attributes with transport-related walking
The single-predictor GAMM revealed significant positive linear associations of frequency and/or weekly minutes of within-neighbourhood walking for transport with perceived land-use mix – diversity (defined as the average perceived proximity of diverse destinations), access to shops, physical barriers to and infrastructure for walking, crowdedness, traffic and road hazards, easy access of residential entrances and sitting facilities in the neighbourhood (Table 2). Measures of overall transport-related walking were positively but more weakly associated with the same set of perceived attributes, with the exception of physical barriers to walking and traffic and road hazards. They were also positively related to perceived access to public transport and dwelling density. The multiple-predictor models yielded fewer significant effects, which are presented in Table 3. Access to shops, crowdedness, easy access of residential entrance, infrastructure for walking and presence of sitting facilities were positively related to both overall and within-neighbourhood walking. Access to public transport was independently positively related to overall but not within-neighbourhood walking, while the opposite was true for land-use mix – diversity and physical barriers to walking. More significant associations were found with measures of frequency than total weekly minutes of walking.
Table 2.
NWQ-CS – walking within the neighbourhood | IPAQ-LC – walking in all locations | |||||||
---|---|---|---|---|---|---|---|---|
Frequency | Weekly minutes | Frequency | Weekly minutes | |||||
Perceived neighbourhood attribute | exp(β) | 95 % CI | exp(β) | 95 % CI | exp(β) | 95 % CI | exp(β) | 95 % CI |
Residential density | 1·000 | 0·999, 1·001 | 1·000 | 1·000, 1·001 | 1·000 | 1·000, 1·000 | 1·001* | 1·000, 1·001 |
Land-use mix – diversity | 1·34*** | 1·15, 1·55 | 1·30** | 1·10, 1·54 | 1·05*** | 1·02, 1·07 | 1·21** | 1·06, 1·38 |
Land-use mix – access to shops | 1·24* | 1·05, 1·46 | 1·25*** | 1·10, 1·42 | 1·05** | 1·02, 1·09 | 1·05 | 0·90, 1·21 |
Access to public transport | 1·21 | 0·94, 1·57 | 0·99 | 0·73, 1·34 | 1·10** | 1·04, 1·17 | 1·25* | 1·00, 1·57 |
Street connectivity | 1·04 | 0·83, 1·30 | 0·92 | 0·75, 1·14 | 1·02 | 0·98, 1·07 | 0·98 | 0·88, 1·09 |
Physical barriers to walking | 1·16* | 1·01, 1·33 | 1·16 | 0·92, 1·45 | 1·00 | 0·97, 1·03 | 0·93 | 0·75, 1·14 |
Infrastructure for walking | 1·38* | 1·07, 1·77 | 1·38** | 1·11, 1·72 | 1·12** | 1·04, 1·20 | 1·29 | 0·84, 1·96 |
Indoor places for walking | 1·00 | 0·88, 1·14 | 0·98 | 0·85, 1·12 | 1·03 | 1·00, 1·05 | 1·03 | 0·92, 1·15 |
Presence of people | 1·16 | 0·97, 1·39 | 0·99 | 0·81, 1·20 | 1·03 | 0·98, 1·07 | 1·10 | 0·93, 1·31 |
Crowdedness | 1·16* | 1·02, 1·31 | 1·23* | 1·04, 1·44 | 1·00 | 0·98, 1·03 | 1·11* | 1·01, 1·21 |
Traffic and road hazards | 1·22* | 1·04, 1·42 | 1·26** | 1·06, 1·50 | 1·00 | 0·97, 1·03 | 1·09 | 0·97, 1·22 |
Crime | 0·85 | 0·73, 1·00 | 1·21 | 1·00, 1·47 | 0·97 | 0·93, 1·01 | 0·97 | 0·85, 1·12 |
Easy access of residential entrance | 1·43*** | 1·30, 1·57 | 1·41** | 1·14, 1·74 | 1·05*** | 1·02, 1·09 | 1·14*** | 1·06, 1·22 |
Sitting facilities | 1·28*** | 1·18, 1·39 | 1·22*** | 1·11, 1·34 | 1·03** | 1·01, 1·05 | 1·10** | 1·02, 1·18 |
NWQ-CS, Neighbourhood Walking Questionnaire – Chinese version for Seniors; IPAQ-LC, Chinese version of the International Physical Activity Questionnaire – Long Form; exp(β), antilogarithm of regression coefficient; 95 % CI, antilogarithms of the 95 % CI of the regression coefficient.
The antilogarithms of the regression coefficients represent the proportional increase (if exp(β) > 1·00) or decrease (if exp(β) < 1·00) in average weekly minutes or frequency of transport-related walking associated with a unit increase in a perceived environmental attribute.
*P < 0.05, **P < 0·01, ***P < 0.001.
Table 3.
NWQ-CS – within-neighbourhood walking | IPAQ-LC – overall walking | |||||||
---|---|---|---|---|---|---|---|---|
Frequency | Weekly minutes | Frequency | Weekly minutes | |||||
exp(β) | 95 % CI | exp(β) | 95 % CI | exp(β) | 95 % CI | exp(β) | 95 % CI | |
Land-use mix – diversity | 1·19** | 1·03, 1·38 | 1·24** | 1·06, 1·46 | – | – | – | – |
Land-use mix – access to shops | 1·23** | 1·07, 1·42 | 1·24** | 1·07, 1·44 | 1·05* | 1·01, 1·11 | – | – |
Access to public transport | – | – | – | – | 1·08** | 1·02, 1·14 | – | – |
Physical barriers to walking | 1·23*** | 1·12, 1·36 | – | – | – | – | – | |
Infrastructure for walking | 1·28*** | 1·14, 1·46– | – | – | 1·08* | 1·01, 1·15 | – | – |
Crowdedness | 1·19*** | 1·09, 1·30 | 1·36*** | 1·16, 1·59 | – | 1·13** | 1·04, 1·23 | |
Easy access of residential entrance | 1·40*** | 1·30, 1·52 | 1·42*** | 1·19, 1·70 | 1·05** | 1·02, 1·08 | 1·13*** | 1·05, 1·21 |
Sitting facilities | 1·26*** | 1·18, 1·35 | 1·21*** | 1·11, 1·32 | 1·02* | 1·00, 1·03 | 1·10* | 1·01, 1·19 |
NWQ-CS, Neighbourhood Walking Questionnaire – Chinese version for Seniors; IPAQ-LC, Chinese version of the International Physical Activity Questionnaire – Long Form; exp(β), antilogarithm of regression coefficient; 95 % CI, antilogarithms of the 95 % CI of the regression coefficient.
The antilogarithms of the regression coefficients represent the proportional increase (if exp(β) > 1·00) or decrease (if exp(β) < 1·00) in average weekly minutes or frequency of transport-related walking associated with a unit increase in a perceived environmental attribute.
*P < 0·05, **P < 0·01, ***P < 0·001.
Sociodemographic moderators
Significant interaction effects of gender and age, but not educational attainment, were found. While crime did not show a significant association in men, a unit increase in perceived crime was predictive of a 37 % (95 % CI 10 %, 70 %) higher amount of walking in women. A unit increase in perceived sitting facilities in the neighbourhood was predictive of 34 % (95 % CI 19 %, 50 %) higher frequency of within-neighbourhood walking in men, but only 18 % (95 % CI 9 %, 27 %) in women. Younger elders (aged 65–74 years) showed no significant relationship of within-neighbourhood walking with the perceived presence of sitting facilities and land-use mix – diversity. However, in older elders (≥75 years), a unit increase in land-use mix – diversity corresponded to 47 % (95 % CI 16 %, 87 %) and 46 % (95 % CI 7 %, 100 %) higher frequency and weekly minutes of within-neighbourhood walking, respectively. The effect of perceived sitting facilities in this age group amounted to 51 % more weekly minutes of walking for a unit increase on the respective scale.
Discussion
We examined associations of perceived neighbourhood environment characteristics with measures of transport-related walking in a representative sample of Chinese older residents of Hong Kong, an ultra-dense Asian metropolis. The present study is the first such one to be conducted in an Asian urban context, to use measures of overall and within-neighbourhood walking for transport, and to employ outcome and environmental exposure measures specifically adapted for and/or validated in the target population( 13 , 18 , 19 ).
Levels of transport-related walking
As observed in an earlier study on mainland Chinese elders( 35 ), Hong Kong elders reported much higher average levels of walking for transport than their Western counterparts( 6 , 21 ), exceeding the total minimum weekly recommended amounts of health-enhancing physical activity by 2·8 times( 1 , 2 ). Walking within the neighbourhood alone contributed (on average) to the participants fully meeting the physical activity guidelines of 150 weekly minutes of moderate-intensity activity. Average ratings of perceived residential density, land-use mix – diversity, infrastructure for walking, access to shops and public transport and street connectivity were substantially higher in the present study compared with those reported in Western countries using versions of the same instrument( 10 , 25 , 26 ). This indicates that the provision of environments characterized by these environmental attributes may help ageing populations maintain an active lifestyle and involvement in their community, both of which are important for health( 2 ). Although cultural factors may also be responsible for the observed levels of walking, they are unlikely to be the only contributor as we also found significant associations between transport-related walking and perceived neighbourhood characteristics.
Correlates of transport-related walking
Access to shops, infrastructure for walking, presence of sitting facilities in the neighbourhood and easy access to the residential entrance were perceived neighbourhood attributes positively associated with both overall and within-neighbourhood walking for transportation, highlighting their potential importance for the maintenance of an active lifestyle in elders. While several studies have identified shop accessibility as a correlate of walking in elders, reports on micro-scale aspects of the environment such as sitting facilities (benches) and access to residential entrance are rare( 6 ). Some high-rise residential buildings in lower-SES neighbourhoods of Hong Kong do not have lifts, while others have lifts which are often out of order. The lack of functioning lifts and elevators in a predominantly high-rise urban environment poses serious accessibility problems to elders, which, as the present study suggests, may contribute to a significant reduction in walking for transport and increased isolation. The presence of benches in the neighbourhood makes it possible for elders to have a rest during their utilitarian trips and may also serve as meeting points, which have been recently identified as environmental facilitators of walking in other cultures( 22 – 24 ).
Land-use mix – diversity was positively related to within-neighbourhood but not overall transport-related walking. As hypothesized, several other perceived neighbourhood characteristics showed stronger relationships with within-neighbourhood than overall transport-related walking. Within the examined settings, it appears that elders may be able to compensate for the lack of access to diverse types of services in their neighbourhood by visiting, and walking in, other neighbourhoods where these services are available. In contrast, access to public transport was associated with overall but not within-neighbourhood walking. An affordable and well-developed public transportation network may make it possible for residents to overcome the lack of services and destinations within their neighbourhoods by providing easy access to other more-destination-rich neighbourhoods.
In line with previous findings( 25 , 26 ), environmental characteristics hypothesized to show an inverted-J relationship with transport-related walking (traffic load, crowdedness and residential density) were instead positively linearly associated with it in at least one of the single-predictor models. Thus, high levels of perceived density and traffic may not act as deterrents of utilitarian walking in Hong Kong elders. This could be due to the fact that areas with higher density of affordable commercial destinations are accompanied by proportionally higher levels of residential density, and human and vehicular traffic volumes( 25 , 26 ). Unexpectedly, aspects of perceived personal safety (presence of people and crime in the neighbourhood) were unrelated to walking for transport, possibly due to the restricted variability of scores on these two scales.
It is noteworthy that, as hypothesized, fewer perceived environmental attributes were related to total amount (weekly minutes) than frequency of walking. In the present study, this is likely to be due to differences in measurement error( 18 , 19 ) rather than differential effects of the neighbourhood environment on the two dimensions of walking. In fact, contrary to what was hypothesized, the magnitude of the association of total minutes of walking with perceived access to services was similar to, rather than weaker than, that with frequency of walking.
Sociodemographic correlates and moderators
As observed in previous studies( 5 , 36 ), we found that educational attainment and age were negatively related, while gender was unrelated, to walking for transport. The first finding is of no public health concern because individuals with higher education tend to replace transport-related with recreational walking or other forms of leisure-time physical activity( 21 , 37 , 38 ). This is, however, not the case for age, which is negatively associated with walking for all purposes( 21 , 39 ). The present study indicates that the provision of sitting facilities and neighbourhoods with mixed land use may help reduce age-group differences in levels of walking, i.e. slow down the decline in transport-related walking across time.
Finally, a few moderating effects of gender were observed. Perceived crime was positively associated with neighbourhood-based walking in women but not in men, which might be due to women's tendency to experience higher levels of risk of threat and fear of crime( 40 ). With respect to gender difference in effects of sitting facilities, it should be noted that such facilities are prevalent in tiny parks within the old-core, high-density but low-quality residential areas of Hong Kong, where elderly men and blue-collar middle-aged men commonly engage in passive recreational activities (chess, gambling and chatting)( 23 ).
Study limitations
The present study has several limitations. These include the cross-sectional nature of the study; the exclusive reliance on self-report measures; the use of an arbitrary definition of neighbourhood primarily based on studies conducted on Western adults( 25 , 30 , 31 ); and the lack of assessment of current health status and car ownership. With regard to the last two potential limitations, it should be noted that car ownership in Hong Kong is very low (<35 % of adult residents) and respondents’ eligibility was assessed based on their (good) health status (ability to walk unassisted). As far as the reliance on self-reports is concerned, the fact that associations were observed for only a limited number of neighbourhood characteristics indicates that they are at least in part due to environmental influences on walking behaviour rather than solely due to greater environmental awareness in regular walkers. Finally, in line with previous studies using the original versions of the scales gauging perceived neighbourhood attributes and within-neighbourhood walking( 25 , 30 , 31 ), we defined neighbourhood as an area up to a 15 min walk from home, which in adults would correspond to a radius of ∼1 km. As it has been suggested that adults commonly perceive their neighbourhood to be an area within 400 m from home( 41 ) and this area in elders may be even smaller, the definition used in the current study might have been suboptimal. The definition of neighbourhood and its impact on the environment–walking relationships in various populations remain important issues to be explored in future studies.
Yet, using a standard neighbourhood definition employed in previous studies has some advantages. It can assist the evaluation of the potential impact of environmental interventions on different age groups. It is also necessary for the estimation of environment–walking dose–response relationships using data from multiple geographical locations varying in levels of exposure (e.g. residential density).
Conclusions
The present study revealed that Chinese Hong Kong elders report very high levels of walking for transport that exceed the total minimum recommended amounts of health-enhancing physical activity. The high prevalence of walking may be in part attributed to a highly walkable environment typified by mixed land use, easy access to diverse services and a developed public transport network. Easy access to one's residential entrance and shops, a good pedestrian infrastructure and the provision of sitting facilities in the neighbourhood appear to be particularly important promoters of walking for transport in elders. It might be possible to overcome the negative effects of lack of destinations in the neighbourhood through the provision of an affordable public transport network. Local government and private agencies should invest in the creation of affordable public transport routes linking destination-poor with destination-rich areas especially in neighbourhoods with a high percentage of elders. Governmental financial incentives to build sitting facilities and local grocery shops in all neighbourhoods may help elders maintain an active lifestyle and social engagement. Future investigations using objective measures of the neighbourhood environment and walking should verify the veracity of the findings observed herein.
Acknowledgements
Source of funding: This work was supported by grant no. 04060671 from the Health and Health Service Research Fund (Food and Health Bureau, Hong Kong SAR), for which the authors are grateful. Conflicts of interest: The authors have no conflict of interest to declare. Authors’ contribution: The study was conceived and planned by E.C., M.-C.C. and W.-M.C. E.C., C.H.P.S., J.M.J., M.-C.C. and W.-M.C. contributed to the data collection and study coordination. The analysis was conducted by E.C. and A.B. The final submission was written by E.C. and A.B. with significant contributions to the various drafts by all other co-authors. Acknowledgements: The authors thank the staff of the Elderly Health Centres for their assistance which made it possible to successfully complete this project.
References
- 1. Paterson DH, Jones GR & Rice CL (2007) Ageing and physical activity: evidence to develop exercise recommendations for older adults. Can J Public Health 98, Suppl. 2, S69–S108. [PubMed] [Google Scholar]
- 2. Vogel T, Brechat PH, Lepretre PM et al. (2009) Health benefits of physical activity in older patients: a review. Int J Clin Pract 63, 303–320. [DOI] [PubMed] [Google Scholar]
- 3. Sims J, Hill K, Davidson S et al. (2007) A snapshot of the prevalence of physical activity amongst older, community dwelling people in Victoria, Australia: patterns across the ‘young–old’ and ‘old–old’. BMC Geriatr 7, 4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Michael Y, Beard T, Choi D et al. (2006) Measuring the influence of built neighborhood environments on walking in older adults. J Aging Phys Act 14, 302–312. [DOI] [PubMed] [Google Scholar]
- 5. Frank L, Kerr J, Rosenberg D et al. (2010) Healthy aging and where you live: community design relationships with physical activity and body weight in older Americans. J Phys Act Health 7, Suppl. 1, S82–S90. [DOI] [PubMed] [Google Scholar]
- 6. Van Cauwenberg J, De Bourdeaudhuij I, De Meester F et al. (2011) Relationship between the physical environment and physical activity in older adults: a systematic review. Health Place 17, 458–469. [DOI] [PubMed] [Google Scholar]
- 7. Lumsdon L & Mitchell J (1999) Walking, transport and health: do we have the right prescription? Health Promot Int 13, 271–279. [Google Scholar]
- 8. Cole R, Leslie E, Bauman A et al. (2006) Socio-demographic variations in walking for transport and for recreation or exercise among adult Australians. J Phys Act Health 3, 164–178. [DOI] [PubMed] [Google Scholar]
- 9. Giles-Corti B, Timperio A, Bull F et al. (2005) Understanding physical activity environmental correlates: increased specificity for ecological models. Exerc Sports Sci Rev 33, 175–181. [DOI] [PubMed] [Google Scholar]
- 10. Shigematsu R, Sallis JF, Conway TL et al. (2009) Age differences in the relation of perceived neighborhood environment to walking. Med Sci Sports Exerc 41, 314–321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Su F, Schmöcker JC & Bell MGH (2009) Mode choice of older adults before and after shopping. J Transport Land Use 2, 29–46. [Google Scholar]
- 12. Borst HC, de Vries SI, Graham JMA et al. (2009) Influence of environmental street characteristics on walking route choice of elderly people. J Environ Psychol 29, 477–484. [Google Scholar]
- 13. Cerin E, Sit CH, Cheung MC et al. (2010) Reliable and valid NEWS for Chinese seniors: measuring perceived neighborhood attributes related to walking. Int J Behav Nutr Phys Act 7, 84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Christian HE, Bull FC, Middleton NJ et al. (2011) How important is the land use mix measure in understanding walking behaviour? Results from the RESIDE study. Int J Behav Nutr Phys Act 8, 55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Kaczynski AT (2010) Neighborhood walkability perceptions: associations with amount of neighborhood-based physical activity by intensity and purpose. J Phys Act Health 7, 3–10. [DOI] [PubMed] [Google Scholar]
- 16. Van Dyck D, Cardon G, Deforche B et al. (2010) Urban–rural differences in physical activity in Belgian adults and importance of psychosocial factors. J Urban Health 88, 154–167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Berke EM, Ackermann RT, Lin EH et al. (2006) Distance as a barrier to using a fitness-program benefit for managed Medicare enrollees. J Aging Phys Act 14, 313–324. [DOI] [PubMed] [Google Scholar]
- 18. Cerin E, Barnett A, Sit CH et al. (2011) Measuring walking within and outside the neighborhood in Chinese elders: reliability and validity. BMC Public Health 11, 851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Cerin E, Barnett A, Cheung MC et al. (2011) Reliability and validity of the International Physical Activity Questionnaire – Long Form in a sample of Hong Kong urban elders: does neighborhood of residence matter? J Aging Phys Act (Epublication ahead of print version). [Google Scholar]
- 20. Saelens BE & Handy SL (2008) Built environment correlates of walking: a review. Med Sci Sports Exerc 40, 7 Suppl., S550–S566. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Mendes de Leon CF, Cagney KA, Bienias JL et al. (2009) Neighborhood social cohesion and disorder in relation to walking in community-dwelling older adults: a multilevel analysis. J Aging Health 21, 155–171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Henderson KA & Ainsworth BE (2000) Enablers and constraints to walking for older African American and American Indian women: the cultural activity participation study. Res Q Exerc Sport 71, 313–321. [DOI] [PubMed] [Google Scholar]
- 23. Lo AYH & Jim CY (2010) Differential community effects on perception and use of urban greenspace. Cities 27, 430–442. [Google Scholar]
- 24. Sawchuk CN, Russo JE, Bogart A et al. (2011) Barriers and facilitators to walking and physical activity among American Indian elders. Prev Chronic Dis 8, A63. [PMC free article] [PubMed] [Google Scholar]
- 25. Cerin E, Saelens BE, Sallis JF et al. (2006) Neighborhood Environment Walkability Scale: validity and development of a short form. Med Sci Sports Exerc 38, 1682–1691. [DOI] [PubMed] [Google Scholar]
- 26. Cerin E, Leslie E, Owen N et al. (2008) An Australian version of the Neighborhood Environment Walkability Scale: validity evidence. Meas Phys Educ Exerc Sci 12, 31–52. [Google Scholar]
- 27. Shumway-Cook A, Patla AE, Stewart A et al. (2003) Environmental components of mobility disability in community-living older persons. J Am Geriatr Soc 51, 393–398. [DOI] [PubMed] [Google Scholar]
- 28. Cerin E, Leslie E, du Toit L et al. (2007) Destinations that matter: associations with walking for transport. Health Place 13, 713–724. [DOI] [PubMed] [Google Scholar]
- 29. Schooling CM, Lam TH, Li ZB et al. (2006) Obesity, physical activity, and mortality in a prospective chinese elderly cohort. Arch Intern Med 166, 1498–1504. [DOI] [PubMed] [Google Scholar]
- 30. Saelens BE, Sallis JF, Black JB et al. (2003) Neighborhood-based differences in physical activity: an environment scale evaluation. Am J Public Health 93, 1552–1558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Giles-Corti B, Timperio A, Cutt H et al. (2006) Development of a reliable measure of walking within and outside the local neighborhood: RESIDE's Neighborhood Physical Activity Questionnaire. Prev Med 42, 455–459. [DOI] [PubMed] [Google Scholar]
- 32. Macfarlane D, Chan A & Cerin E (2011) Examining the validity and reliability of the Chinese version of the International Physical Activity Questionnaire, long form (IPAQ-LC). Public Health Nutr 14, 443–450. [DOI] [PubMed] [Google Scholar]
- 33. Wood SN (2006) Generalized Additive Models: An Introduction with R. Boca Raton, FL: Chapman & Hall. [Google Scholar]
- 34. R Development Core Team (2011) R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; available at http://www.R-project.org/
- 35. Deng HB, Macfarlane DJ, Thomas GN et al. (2008) Reliability and validity of the IPAQ-Chinese: the Guangzhou Biobank Cohort study. Med Sci Sports Exerc 40, 303–307. [DOI] [PubMed] [Google Scholar]
- 36. Ogilvie D, Mitchell R, Mutrie N et al. (2008) Personal and environmental correlates of active travel and physical activity in a deprived urban population. Int J Behav Nutr Phys Act 5, 43. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Cerin E & Leslie E (2008) How socio-economic status contributes to participation in leisure-time physical activity. Soc Sci Med 66, 2596–2609. [DOI] [PubMed] [Google Scholar]
- 38. Cerin E, Leslie E & Owen N (2009) Explaining socio-economic status differences in walking for transport: an ecological analysis of individual, social and environmental factors. Soc Sci Med 68, 1013–1020. [DOI] [PubMed] [Google Scholar]
- 39. de Melo LL, Menec V, Porter MM et al. (2010) Personal factors, perceived environment, and objectively measured walking in old age. J Aging Phys Act 18, 280–292. [DOI] [PubMed] [Google Scholar]
- 40. Smith WR & Torstensson M (1997) Gender differences in risk perception and neutralizing fear of crime: toward resolving the paradoxes. Br J Criminol 37, 608–634. [Google Scholar]
- 41. Smith G, Gidlow C, Davey R et al. (2010) What is my walking neighbourhood? A pilot study of English adults’ definitions of their local walking neighbourhoods. Int J Behav Nutr Phys Act 7, 34. [DOI] [PMC free article] [PubMed] [Google Scholar]