Author (Year) | Study design | Outcome | Exposure | Method to account for neighbourhood self-selection | Neighbourhood self-selection variable(s) | Items/variables in derived neighbourhood self-selection variable(s) | Comparison with and without self-selection |
---|---|---|---|---|---|---|---|
Alves, Silva (2013) [15] | Cross-sectional | Dietary behaviour and physical activity | Disadvantage | Model adjustment | Sociodemographic characteristics | 3 variables: i) Age; ii) Education; iii) Marital status | No |
Boarnet, Joh (2011) [16] | Cross-sectional | Physical activity | Residential density, Block size, Intersections, Commercial destinations | Restricted population (only consider a small study area, arguing “If residential location choice mostly determines the study area where persons live, but not where along the corridor residents live, then travel behaviour differences within the corridors will be due to direct effects of differences in the built environment and business concentration, and not residential preferences.”) | N/A | N/A | No |
Boone-Heinonen, Gordon-Larsen (2011) [17] | Longitudinal | Physical activity | Disadvantage | Model adjustment and Fixed effects regression (Considered both mixed and fixed effects regression) | i) Sociodemographic characteristics | 5 variables: i) Education; ii) Income; iii) Race; iv) Marital status; v) Children | Yes |
Boone-Heinonen, Diez Roux (2011) [18] | Longitudinal | Dietary behaviour | Fast food chain restaurants, Supermarkets, Smaller grocery stores | Fixed effects regression | N/A | N/A | No |
Brown, Pantin (2013) [19] | Cross-sectional | Physical activity | Walkability | Restricted population (only considered recent Cuban immigrants who overwhelmingly reported that they did not select their neighbourhood based on built environment characteristics) | N/A | N/A | No |
Brown, Lombard (2014) [20] | Cross-sectional | Physical activity | Walkability, Distance to urban development boundary, Distance to central business district | Restricted population (only considered recent Cuban immigrants who overwhelmingly reported that they did not select their neighbourhood based on built environment characteristics) | N/A | N/A | No |
Cerin, Frank (2011) [21] | Cross-sectional | Physical activity | Land use mix | Restricted population (limited to middle and high-income residents who could self-select for reasons other than affordability) | N/A | N/A | No |
Christian, Knuiman (2013) [22] | Longitudinal | Physical activity | Neighbourhood type (hybrid, liveable, conventional) | Model adjustment | Importance of characteristics for living in or moving to neighbourhood/new house | 21 items [not provided; referenced another article]. Factor analysis identified 5 factors: i) streets are pedestrian and cycling friendly; ii) access to services, jobs or place of study; iii) access to school; iv) close to parks and recreational facilities; v) safe, diverse and easy living community. | No |
Foster, Hooper (2016) [23] | Longitudinal | Physical activity | Crime | Model adjustment | Importance of characteristics for living in or moving to neighbourhood/new house | 1 item: i) Importance of safety from crime | No |
Frank, Saelens (2007) [24] | Cross-sectional | Physical activity | Walkability, Household income | Model adjustment | i) Importance of characteristics for living in or moving to neighbourhood/new house, ii) Neighbourhood preference | 10 items in reasons for moving: i) Low crime, ii) Affordability, iii) Closeness to job, iv) Near shops and services, v) Near major roads and interstates, vi) Ease of walking, vii) Low transportation costs, viii) Near outdoor recreation, ix) Quality of schools, x) Near to public transit. Principal components analysis identified 1 factor with low transportation costs, near to public transit and ease of walking having highest loads. The average score of these three items was split into quartiles and used as the self-selection variable. 7 trade-offs used to assess preferences: i) walkability vs. commercial-residential land use separation, ii) commute distance vs. residential density, iii) urban vitality vs. low-density and single-use neighbourhoods, iv) commute distance vs. living on quieter cul-de-sac street, v) availability of alternatives to the car vs. home size, vi) accommodation of automobile vs. accommodation of pedestrians and cyclists, vii) availability of alternatives to the car vs. neighbourhood privacy. Principal components analysis identified 1 factor. This was normalised and split into quartiles. | No |
Frank, Kershaw (2014) [25] | Cross-sectional | Physical activity | Walkability | Model adjustment | Neighbourhood preference | 7 trade-offs used to assess preferences in walkable vs. auto-orientated neighbourhoods: i) Closeness to shops and services; ii) Level of activity and mix of housing; iii) Home size and travel options; iv) Lot size and commute distance; v) Street design and travel options; vi) Public recreation and lot size; vii) Access to and size of food stores. Trade-offs were evaluated using 11-point scales for each of three questions: 1) “Your neighbourhood preference is … “, 2) “Indicate if your current neighbourhood is more like “A” or “B” … “, 3) “Regarding [the described attributes], the neighbourhood you’d hope to find would be [more like “A” or “B”] than your current neighbourhood”. Principal component analysis was used to extract a single neighbourhood preference component. This was split into quartiles. | No |
Giles-Corti, Bull (2013) [26] | Longitudinal | Physical activity | Transport-related walking destinations (post offices, bus stops, delicatessens, supermarkets, train stations, shopping centres or CD or DVD stores), Recreation-related walking destinations (beach, park or sports field) | Model adjustment | Importance of characteristics for living in or moving to neighbourhood/new house | 21 items [not provided; referenced another article]. Factor analysis identified 5 factors: i) streets are pedestrian and cycling friendly; ii) access to services, jobs or place of study; iii) access to school; iv) close to parks and recreational facilities; v) safe, diverse, easy living community. These five were included as separate categorical variables (Not important or not important at all/Somewhat important/Important). In addition, a self-selection scale (not important or somewhat important) used in previous studies was considered. | Yes |
Hajna, Ross (2016) [27] | Longitudinal | Physical activity | Walkability | Model adjustment | Residential self-selection | Residential self-selection: 11 items from the Neighbourhood Quality of Life Study questionnaire (reference but no details provided) | Yes |
Handy, Cao (2008) [28] | Cross-sectional | Physical activity | Institutional destinations (bank, church, library, post office), Maintenance destinations (grocery store, pharmacy), Eating out destinations (bakery, pizza, ice cream, takeaway), leisure destinations (health club, bookstore, bar, theatre, video rental) | Model adjustment | Importance of characteristics when looking to move to neighbourhood/new house | 34 items [not all provided]: i) Easy access to a regional shopping mall, ii) Easy access to downtown, iii) Other amenities such as a pool or community centre available nearby, iv) Shopping areas within walking distance, v) Easy access to the freeway, vi) Good public transit service (bus or rail), vii) Good bicycle routes beyond neighbourhood, viii) Sidewalks throughout neighbourhood, ix) Parks and open spaces nearby, x) Quiet neighbourhood, xi) Low crime rate within neighbourhood, xii) Low level of car traffic on neighbourhood streets, xiii) Safe neighbourhood for walking, xiv) Safe neighbourhood for kids to play outdoors, xv) Good street lighting, xvi) Diverse neighbourhoods in terms of ethnicity, race, and age, xvii) Lots of people out and about within my neighbourhood, xviii) Lots of interaction among neighbours, xix) Economic level of neighbours similar to my level, xx) Attractive appearance of neighbourhood, xxi) High level of upkeep in neighbourhood, xxii) Variety in housing styles, xxiii) Big street trees, xxiv) Large backyards, xxv) Large front yards, xxvi) Lots of off-street parking (garages or driveways). Principal components analysis identified six factors: accessibility, physical activity options, attractiveness, outdoor spaciousness, safety, and socialising. | No |
Jack and McCormack (2014) [29] | Cross-sectional | Physical activity | Walkability | Model adjustment | Importance of characteristics for living in or moving to neighbourhood/new house | 19 items [not provided]. Principal components analysis identified four factors: access to places that support physical activity, access to local services, sense of community, ease of driving. These were transformed into z-scores. | No |
Kaczynski and Mowen (2011) [30] | Cross-sectional | Physical activity | Park | Model adjustment | Importance of characteristics for living in or moving to neighbourhood/new house | 1 item: i) Importance of closeness to open space | Yes |
Knuiman, Christian (2014) [31] | Longitudinal | Physical activity | Street connectivity, Residential density, Land use mix, Service destinations (dry cleaners, post offices, pharmacies, video stores), Convenience destinations (delis, general stores, supermarkets, green grocers, seafood shops, gas stations, other food shops, shopping centres), Public open space destinations (parks, sports fields, beaches), Railway station | Fixed effects regression | N/A | N/A | Yes |
Lee, Zegras (2013) [32] | Cross-sectional | Physical activity | Net density, Land use mix, Open space, Trail length, Intersections, Hilliness, Retail destinations, Transport destinations, Traffic volume, Traffic crashes | Model adjustment | Self-selection | Unclear. Used structural equation modelling to enable the inclusion of latent characteristics to control for self-selection. | Yes |
MacDonald, Stokes (2010) [33] | Cross-sectional and Longitudinal | Physical activity | Light rail transit introduction [longitudinal], residential density [cross-sectional], park [cross-sectional], Food (grocery, convenience, restaurants) and alcohol destinations [cross-sectional] | Propensity score and Quasi-experiment | i) Sociodemographic variables, ii) Plans to use light rail transit | Sociodemographic variables/baseline characteristics included 7 items: i) gender, ii) race, iii) age, iv) employed, v) miles to work, vi) education level, vii) rent | No |
McCormack, Shiell (2012) [34] | Cross-sectional | Physical activity | Street connectivity, Land-use mix, Residential density | Propensity score | i) Importance of characteristics for living in or moving to neighbourhood/new house; ii) Number of years in current neighbourhood; iii) Sociodemographic characteristics | 19 items for characteristics: i) Affordability, ii) Proximity to parks, iii) Proximity to job/school, iv) Proximity to transit, v) Proximity to stores/services, vi) Ease of walking, vii) Sense of community, viii) Safety from crime, ix) Proximity to recreation facilities, x) Access to highways, xi) Attractive streets, xii) Proximity to family/friends, xiii) Views of scenery (e.g., mountains), xiv) Cleanliness of streets, xv) Proximity to downtown, xvi) Proximity to trails, xvii) Places to be physically active, xviii) Places to walk/cycle to, xix) Ease of driving. Sociodemographic characteristics: i) home ownership status, ii) gender, iii) age, iv) education, v) number of dependents < 18 years at home | No |
McCormack, Friedenreich (2012) [35] | Cross-sectional | Physical activity | Walkability | Model adjustment | Importance of characteristics for living in or moving to neighbourhood/new house | 21 items [not provided; referenced another article]. Factor analysis identified 5 factors: i) Pedestrian and cycling friendly streets; ii) Accessible services for daily living; iii) Accessible schools or places of study; iv) Accessible parks and recreation facilities; 5) Housing affordability and choice. Factors included as covariates in the models. | Yes |
McCormack, McLaren (2017) [36] | Cross-sectional | Physical activity | Walkability, Business destinations, Bus stops, Parks, Recreational facilities, Sidewalk length, Residential density, Green space, Cycle paths | Propensity score | Importance of characteristics for living in or moving to neighbourhood/new house | 13 items: i) Proximity to transit, ii) Proximity to recreational destinations, iii) Proximity to non-recreational destinations, iv) Proximity to work, v) Proximity to schools, vi) Proximity to downtown, vii) Access to highways and major roads, viii) Access to community associations, ix) Sense of community, x) Attractiveness, xi) Cleanliness of streets, xii) Housing type variety, xiii) quality of recreational facilities. Responses to each item were collapsed from “not at all”, “somewhat” and “very important” into “not important” and “important”. Propensity scores were created. | No |
Nichani, Dirks (2016) [37] | Cross-sectional | Physical activity | Green space | Model adjustment | Neighbourhood preference | 1 item: “Why do you live in this neighbourhood?: I like the local lifestyle.” No/Yes. Local lifestyle included access to community resources (e.g. green space, recreational facilities, public transport, shopping, education, healthcare, social and cultural facilities). | Yes |
Norman, Carlson (2013) [38] | Cross-sectional | Physical activity | Walkability | Model adjustment | i) Importance of characteristics for living in or moving to neighbourhood/new house; ii) Neighbourhood preference | 4 items in moving: i) Ease of walking; ii) Near public transit; iii) Near shops and services; iv) Near outdoor recreation. The average rating of these items, all measured on 5-point scales, was split at the median to categorise as low/high importance of walkability. 3 items in preference: i) residential density; ii) land use; iii) street connectivity. The average rating of these items, all measured on 11-point scales, was split at the median to categorise as low/high preference for a high-walkability neighbourhood. | No |
Owen, Cerin (2007) [39] | Cross-sectional | Physical activity | Walkability | Model adjustment | Importance of characteristics for living in or moving to neighbourhood/new house | 4 items: i) Closeness to job or school; ii) Closeness to public transportation; iii) Desire for nearby shops and services; iv) Ease of walking. The average rating of these items, all on 5-point scales, was used as neighbourhood self-selection measure. | Yes |
Saelens, Sallis (2012) [40] | Longitudinal | Physical activity | Residential density, Land use mix, Intersection density, Retail destinations, Parks | Model adjustment | Importance of characteristics for living in or moving to neighbourhood/new house | 3 items [chosen based on factor analysis of 11 residential selection items]: i) Closeness to public transportation; ii) Desire for nearby shops and services; iii) Ease of walking. The average rating of these items, all on 5-point scales, was used as residential selection variable. | No |
Sallis, Saelens (2009) [41] | Cross-sectional | Physical activity | Walkability, Household income | Model adjustment | Importance of characteristics for living in or moving to neighbourhood/new house | 3 items: i) Desire for nearby shops and services; ii) Ease of walking; iii) Closeness to recreational facilities. The average rating of these items, [scale not provided but reference to paper provided] was used as measure of walkability-related self-selection of neighbourhoods. | Yes |
Van Dyck, Cardon (2011) [42] | Cross-sectional | Physical activity | Walkability | Model adjustment | Importance of characteristics for living in or moving to neighbourhood/new house | 21 items: i) House price; ii) Importance of living in city centre; iii) Importance of living in a quiet neighbourhood; iv-vii) Social/emotional reasons (e.g. living close to family and friends); viii-xxi) Walkability related items (e.g. importance of closeness to shops, closeness to work/school, traffic safety, amount and quality of sidewalks/footpaths). All items were scored on a 5-point scale. A single variable was created but it is not clear how this was defined. Those scoring higher than the median were considered to have walkability as an important reason for neighbourhood selection. | Yes |
Wells and Yang (2008) [43] | Longitudinal | Physical activity | Land use mix, Land use density, Street network pattern | Quasi-experiment (examine post-move - pre-move change in exposure on post-move outcome controlling for pre-move outcome) | N/A | N/A | No |
West and Shores (2015) [44] | Longitudinal | Physical activity | Greenway | Quasi-experiment (pre-post design with control group) | N/A | N/A | No |
Witten, Blakely (2012) [45] | Cross-sectional | Physical activity | Street connectivity, Dwelling density, Land use mix, Service and amenity destinations, Urbanicity | Model adjustment | i) Sociodemographic characteristics, and ii) Neighbourhood preference | 8 sociodemographic variables: i) Age; ii) Sex; iii) Ethnicity; iv) Marital status; v) Household income; vi) Educational qualifications; vii) Occupation; viii) Household car access. 2 items: i) Prefer lower-density suburban neighbourhood suburban or urban environment located 10–15 min by car from common destinations or a higher-density urban neighbourhood with most destinations accessible on foot or by public transportation within 10–15 min; ii) Strength of preference for suburban or urban environment. Responses were combined as: strongly prefer walkable, moderately prefer walkable, neutral, moderately prefer less walkable, strongly prefer less walkable. | Yes |