- Open Access
Is the perceived neighborhood built environment associated with domain-specific physical activity in Latin American adults? An eight-country observational study
International Journal of Behavioral Nutrition and Physical Activity volume 17, Article number: 125 (2020)
Characteristics of the neighborhood built environment are associated with physical activity (PA). However, few studies with representative samples have examined environmental correlates of domain-specific PA in Latin America. We examined the associations of the perceived neighborhood built environment with domain-specific PA in a large sample of adults from eight Latin American countries.
This study examined data from 8185 adults (aged 18–65 years) from eight Latin American countries. The Neighbourhood Environment Walkability Survey - Abbreviated (NEWS-A) scale was used to assess perceptions of land use mix–diversity, land use mix-access, street connectivity, walking/cycling facilities, aesthetics, safety from traffic, and safety from crime. Perceived proximity from home to public open spaces (metropolitan parks, playgrounds, public squares) and to shopping centers was also measured. Transport-related and leisure-time PA were assessed using the long form of the International Physical Activity Questionnaire. Both logistic and linear regression models were estimated on pooled data.
Perceptions of higher land use mix-access (OR: 1.40; 95% CI: 1.22,1.61), the existence of many alternative routes in the neighbourhood (1.12; 1.04,1.20), slow speed of traffic (1.19; 1.03,1.35) and few drivers exceeding the speed limits (1.09; 1.03,1.15) were associated with greater odds of reporting at least 10 min/week of transport-related PA. Perceptions of higher levels of land use mix-diversity, better aesthetics and greater safety from crime, the presence of crosswalks and pedestrian signals, and greater proximity of shopping centers were associated with more min/week of transport-related PA. Perceptions of higher land use mix-diversity (1.12; 1.05,1.20), higher land use mix-access (1.27; 1.13,1.43), more walking/cycling facilities (1.18; 1.09,1.28), and better aesthetics (1.10; 1.02,1.18) were associated with greater odds of engaging in at least 10 min/week of leisure-time PA versus none. Perceptions of higher land use mix-diversity were associated with more min/week of leisure PA.
Different perceived neighborhood built environment characteristics were associated with domain-specific PA among adults from Latin America countries. Interventions designed to modify perceptions of the neighbourhood built environment might influence initiation or maintenance of domain-specific PA.
ClinicalTrials. Gov NCT02226627. Retrospectively registered on August 27, 2014.
The health benefits of physical activity (PA) are well established. They include a lower prevalence of cardiovascular disease (CVD), cognitive impairment, depression, blood pressure, obesity, breast and colon cancer, stroke, and mortality . To achieve these physical and mental health benefits, adults should perform at least 150 min of moderate-to-vigorous PA or at least 75 min of vigorous PA intensity throughout the week . In Latin America, only 39.1% of adults meet the PA guidelines .
In recent years, Latin America has undergone an accelerated urbanization process, with significant demographic, epidemiological, and socioeconomic changes. These changes resulted in improvements in general health and education indicators but also in a decrease in PA . Eight out of ten individuals in Latin American countries live in cities, making it the most urbanized region in the world . Latin American cities are characterized by high population density, disorganized and heavy traffic, air and noise pollution, rising crime rates, high-income inequality, high levels of poverty, and population aging, all of which might inhibit PA [5, 6].
Studies on the associations between neighborhood built environment factors and PA has increased in recent years. Neighborhood aspects such as destination accessibility, street connectivity, recreational facilities, and public transport have been linked to PA among adults . These studies suggest that neighborhood environmental correlates of PA depend on the PA domain. For example, factors such as street connectivity, land use and distance to local destination have been found to be associated with both transport and leisure-time PA, but other factors, such as proximity to parks and safety from crime tend to show stronger associations with leisure-time PA [8,9,10]. Nonetheless, most previous research was conducted in the USA, Europe, or Australia [11,12,13,14,15,16]. Considering the distinct features of Latin American cities, it is not possible to directly translate findings from other countries (e.g., the USA or European countries) to this region. More specificly examining how characteristics of the built environment are associated with PA in eight Latin American countries may provide useful insights for guiding public policies and strategies for PA promotion in this region. There are relatively few studies about these factors among cities in Latin America [17,18,19]. Only one of these existing Latin American studies used a representative sample of the urban population . Salvo et al. found that walkability (an index incorporating residential density, retail area-to-land ratio, connectivity) was inversely related to total weekly minutes of moderate-to-vigorous PA and the number of transit routes in a 500-m buffer around participants’ homes was inversely related to total weekly minutes of moderate-to-vigorous PA among adults in Cuernavaca, Mexico . The purpose of the present study was to examine the associations of perceived neighborhood built environment with domain-specific PA in representative samples of adults from eight Latin America countries by country and overall adjusted for sociodemographic variables.
Latin American study of nutrition and health
The Latin American Study of Nutrition and Health (Estudio Latinoamericano de Nutrición y Salud; ELANS) is an eight-country (Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Peru, and Venezuela), observational epidemiological study using a common design and comparable methods across countries. The study uses a large representative sample (15–65 years old) from these eight countries and focuses on urban populations . Data collection dates ranged from September 2014 to February 2015. The overarching ELANS protocol was approved by the Western Institutional Review Board (#20140605) and although the study is not a clinical trial, the protocol is registered at ClinicalTrials.gov (#NCT02226627) in order to increase the transparency of the methods and results and avoid criticism about publication bias. Ethical approval was obtained from each local institutional review boards and participants` informed consent/assent was obtained.
The entire ELANS study consisted of 9218 (4409 men) participants who were chosen using a random complex, multistage sampling frame with a random selection of Primary Sampling Units (PSUs) and Secondary Sampling Units (SSUs). The participants were recruited from PSUs areas (e.g., counties, municipalities, neighborhoods, residential areas) within each selected city in each country. An “n” size proportional to population weight was used for the selection of PSUs. In this case, a simple random sampling of “n” with replacement was performed to adhere to the principle of statistical independence of the selection of the areas included in the PSU sample. For these random selections, the probability proportional to size method was applied. Thus, within each of the areas included in the PSU distribution, a representative sample of SSUs was randomly designated using the probability proportional to size method.
For the selection of households, we implemented a four-step, systematic randomization procedure by establishing a selection interval (k): a) the total urban population was used to proportionally describe the main regions and to select cities representing each region; b) the sampling points (survey tracts) of each city were randomly designated, and c) clusters of households were selected from each sampling unit; d) the designated respondent within each household was selected using the birthday method. Details about participant sampling and recruitment strategies have been published elsewhere [20, 21].
In each country, stratified recruitment of individuals was done across sex, age group (15–19.9, 20–34.9, 35–49.9, and 50–65 years), and socioeconomic level (low, medium, high). Socioeconomic levels were weighted according to the national indices of each country. The number of individuals required per socioeconomic level has been addressed in more detail elsewhere . In total, 92 cities participated in this study (7 to 23 cities in each country) . The required sample size was calculated using a power analysis with a 95% confidence level, a maximum error of 3.5%, and a survey design effect of 1.75, resulting in a required sample size of 9090.
For household selection within cities, the systematic randomization method was used. The exclusion criteria adopted were: a) pregnant and lactating women; b) persons with physical or mental disabilities; c) unsigned consent form; d) individuals living in non-family residential environments; and e) individuals who could not read. More information on the ELANS study is provided in Fisberg et al. 
The perceived neighborhood built environment and PA protocol used in ELANS includes self-reported data collected by questionnaires. In this study, the questionnaires (perceived neighborhood built environment and PA) were interviewer-administered during the home visit, and 8185 (18–65 years old) participants had complete data. We excluded adolescents (15 to 17 years old) from the analyses because the ELANS study did not include adolescents of all ages. Also, adolescents may have restricted independent mobility  that may yield different environment-PA associations than those observed in adults. In addition, PA guidelines for adolescents differ from those for adults .
Perceived neighborhood built environment
To assess perceptions of the neighborhood built environment characteristics, the Neighborhood Environment Walkability Scale - Abbreviated (NEWS-A)  previously translated into Spanish and adapted for use in Latin America [14, 26]. Apart from translating the NEWS-A from English into the local language of the participating countries, scale adaptation also encompassed the addition of two items to the safety from crime subscale, an item measuring the proximity of shopping centers and three items gauging the proximity to three types of public open space (metropolitan parks, playgrounds and public squares) as shown in Table 1. The reliability and validity of NEWS-A have been evaluated in several countries with all included scales having test-retest reliability intraclass correlations > 0.50 [27, 28].
The following characteristics were assessed: land use mix–diversity, land use mix-access, street connectivity, walking/cycling facilities, aesthetics, safety from traffic, and safety from crime. The land use mix-diversity scale is assessed by the perceived walking proximity from home to 23 different types of destinations, with responses ranging from 1 to 5-min walking distance (coded as 5, indicative of high walkability) to > 30-min walking distance (coded as 1, indicative of low walkability). The remaining six scales are average ratings of items answered on a four-point Likert scale (1 = strongly disagree to 4 = strongly agree). Scales were scored in a direction consistent with higher walkability and safety, with individual items reversed when necessary. The scales ‘street connectivity’ and ‘safety from traffic’ from NEWS-A were not included in the results due to low internal consistency. Instead, the individual items were analysed separately (Table 1).
Physical activity assessment
Participants reported their PA levels by completing the long-form of the last 7 days, interview version of the International Physical Activity Questionnaire (IPAQ) in Spanish . We adapted the IPAQ by using only the questions that covered the active transport-related and leisure-time domains . The long-form IPAQ (last 7 days) has been validated internationally using CSA accelerometer (model 7164) to assess total PA in a variety of contexts (occupational, transport, household, leisure) and at different intensities (moderate, vigorous, walking, cycling) in individuals aged 18–65 years from 12 countries with Spearman’s correlation coefficients ranging from 0.46 to 0.96 .
The participants were instructed to report the frequency and duration (bouts of > 10 min) of PA in the domains of active transport and leisure. Specifically, the following questions were asked: a) “During the last 7 days, did you walk or use a bicycle (pedal cycle) for at least 10 minutes continuously to get to and from places?” (Yes, No); b) “During the last 7 days, on how many days did you walk or ride a bicycle for at least 10 minutes at a time to go from place to place?”; c) “How much time did you usually spend on one of those days to bicycle or walk from place to place?” These questions were asked separately for walking and cycling. Concerning leisure PA, the following questions were asked: a) “During the last 7 days, did you walk, or do any moderate or vigorous PA for at least 10 minutes continuously?” (Yes, No); b) “During the last 7 days, on how many days did you walk, or do moderate or vigorous PA for at least 10 minutes at a time in your leisure time?”; c) “How much time do you spend walking or doing moderate-to-vigorou PA in your leisure time?” Questions were asked separately for walking, moderate-intensity, and vigorous-intensity activities. Details on the assessment of PA by IPAQ have been published elsewhere .
IPAQ PA data are reported as min/week of walking, moderate and vigorous PA during leisure-time, and min/week of walking and cycling for transport-related purposes. Time (min/week) spent in each of the PA domains (i.e., transport-related and leisure-time) was calculated and used in analysis. In this study, we used transport-related PA (walking + bicycle) and leisure-time PA (walking + moderate + vigorous) separately.
An international comparison showed that IPAQ had comparable reliability and validity to other self-report PA assessment methods . There is evidence for an acceptable degree of reliability and validity of the transport-related and leisure-time PA items of the IPAQ. For these items, intraclass correlation coefficients ranging from 0.42 to 0.75 have been reported [30, 31]. Also, moderate correlations (0.50–0.63) were found between diary measures of transport-related and leisure-time PA and the corresponding IPAQ items. In our study, the intraclass correlation coefficients of self-reported total weekly minutes of walking, transport-related, and leisure-time PA with accelerometry-estimated weekly minutes of moderate-intensity PA were between 0.24 and 0.35 (unpublished data).
Statistical analyses were carried out with the software SPSS v.26. Means, standard deviations (SD), median (interquartile range: IQR), and percentages were computed, as appropriate, to describe the variables. Weighting was done according to sociodemographic characteristics, sex, socioeconomic level, and country .
Cronbach’s alpha was used to assess the internal consistency of the neighborhood environment characteristics’ scales. Because the PA variables were positively skewed and had a large number of zeros, two different multilevel regression models, with the country as the second level, were used to estimate the associations of neighborhood characteristics with PA (transport-related and leisure-time): a logistic regression model (odds ratio: OR; confidence interval 95%: 95%CI) with a binary dependent variable (0 = “<10 minutes of PA/week”, 1 = “≥10 minutes of PA/week”) followed by a linear model with the min/week of PA as the dependent variable. The linear regression model (β; 95%CI) was estimated using data from the respondents who reported ≥10 min of PA per week. Due to the non-normality of data, the minutes of PA were log-transformed for the linear models and the unstandardized coefficient values were back-transformed into min/week aiming to increase the clinical utility of the findings. Both models were adjusted for sex, age, socioeconomic level, and country. We present the overall (i.e., pooled) and country-specific results (Additional file 1: Table S1-S4). A significance level of 5% was adopted.
The total number of participants included in the ELANS study was 9218 (52.2% women) (aged 15.0–65.0 years). Overall, the final response rate was 88.8%. The final sample with all complete data consisted of 8185 participants. The characteristics of the participantes are presented in Table 2. Overall, 53% of the sample consisted of females and the mean age was 37.4 (SD: 13.3) years. Mean transport-related and leisure-time PA were 153.9 (SD: 216.7) and 162.2 (SD: 272.7) min/week, respectively. Average transport-related PA ranged between 105.0 min/week (SD: 179.5) (Venezuela) and 214.3 min/week (SD: 259.1) (Costa Rica), while leisure-time PA ranged between 98.5 min/week (SD: 235.3) (Venezuela) and 315.5 min/week (SD: 321.6) (Ecuador).
Table 3 shows the overall and country-specific descriptive statistics for the perceived environmental attributes. Land use mix-diversity (5-points scale from 1 to 5) was the highest in Colombia (mean: 3.1; SD: 0.7), Argentina (mean: 3.0; SD: 0.8) and Ecuador (mean: 3.0; SD: 0.6), and the lowest in Venezuela (mean: 2.4; SD: 0.8). The overall mean score was 2.8 (SD: 0.8).
The overall mean scores (4-points scales from 1 to 4) of land use mix-access (mean: 3.0; SD: 0.4) and walking/cycling facilities (mean: 2.8; SD: 0.6), suggested relatively high perceived land use mix-access and lack of facilities for walking or cycling. The country-specific means were similar to the overall means for both scales (differences ≤0.2), except for the walking/cycling facilities score in Chile, where the mean score was the lowest (mean: 3.2: SD: 0.6). The overall scores of aesthetics (mean: 2.6; SD: 0.7) and safety from crime (mean: 2.5; SD: 0.6) were close to the center of the scales (4-points scales from 1 to 4). Perceived safety from crime was the lowest in Venezuela (mean: 2.2; SD: 0.6) and the highest in Chile (mean: 2.8; SD: 0.6). Chile was also the country with the highest aesthetics mean score (mean: 2.9; SD: 0.8) (Table 3).
The overall mean scores of proximity of public open spaces (mean: 2.7; SD: 1.1) and of shopping centers (mean: 2.0; SD: 1.3) (5-points scales from 1 to 5) indicated greater perceived proximity of public open spaces than to shopping centers. The differences between the two scores were particularly large in Chile (mean: 3.4; SD: 0.8 – proximity of public open spaces; mean: 2.0; SD: 1.1 – proximity of shopping centers) and small in Argentina (mean: 3.0; SD: 1.0 – proximity of public open spaces; mean: 2.9; SD: 1.5 – proximity of shopping centers). The mean scores of the items of street connectivity and safety from traffic were similar across all countries (differences ≤0.2) (Table 3).
Associations of environmental perceptions with transport-related PA
Pooled estimated associations of perceived neighborhood built environment subscales with transport-related PA (logistic and linear regression) are shown in Table 4. Perceived land use mix-access (OR: 1.40; 95%CI: 1.22, 1.61) and the existence of many alternative routes in the neighbourhood (OR: 1.12; 95%CI: 1.04, 1.20) were associated with higher odds of reporting any transport-related PA (here defined as ≥10 min/week). Perceived slow speed of traffic (OR: 1.19; 95%CI: 1.03, 1.35) and few drivers exceeding the speed limits (OR: 1.09; 95%CI: 1.03, 1.15) were also related to higher odds of reporting any transport-related PA.
The linear regression model showed that an increase of one point on the scale of land use mix-diversity was associated with a proportional increase of 1.32 min/week of transport-related PA (i.e., 32% increase, equivalent to 49.2 min/week; βlog10: 0.119, 95%CI: 0.036, 0.192). Likewise, aesthetics was associated with a proportional increase 1.07 min/week (i.e., 7% increase, equivalent to 10.8 min/week; βlog10: 0.028; 95%CI: 0.010, 0.046), and safety from crime was associated with a proportional increase 1.33 min/week (i.e., 33% increase, equivalent to 50.8 min/week; βlog10: 0.123; 95%CI: 0.044, 0.181), greater proximity to shopping centers was associated with a proportional increase 1.03 min/week (i.e., 3% increase, equivalent to 4.6 min/week; βlog10: 0.011; 95%CI: 0.011, 0.021), and the presence of crosswalks and pedestrian signals was associated with a proportional increase 1.05 min/week (i.e., 5% increase, equivalent to 7.7 min/week; βlog10: 0.020; 95%CI: 0.007, 0.033) more minutes of transport-related PA (Table 4).
The country-specific results of associations of environmental perceptions with transport-related PA are available in Tables S1-S2 (Additional file 1). Different associations by country were observed between perceived neighborhood built environment and transport-related PA. Argentina was the country with the strongest associations between perceived aspects of the neighborhood built environment (land use mix-diversity, land use mix-access, aesthetics, safety from crime, public open spaces, streets in neighbourhood do not have many cul-de-sacs, the existence of many alternative routes in the neighbourhood, much traffic, and most drivers exceed the posted speed limits) and transport-related PA (Additional file 1: Tables S1-S2).
Associations of environmental perceptions with leisure-time PA
In the pooled analyses, the odds of reporting any leisure PA were higher in participants perceiving higher land use mix-diversity (OR: 1.12; 95%CI: 1.05, 1.20), higher land use mix-access (OR: 1.27; 95%CI: 1.13, 1.43), more walking/cycling facilities (OR: 1.18; 95%CI: 1.09, 1.28), and better aesthetics (OR: 1.10; 95%CI: 1.02, 1.18). The linear regression analyses showed that the increase of one point in the perceived land use mix-diversity was associated with a proportional 1.34 more min/week of leisure PA in respondents who did any leisure PA (i.e., 34% increase, equivalent to 55.1 min/week; βlog10: 0.127; 95%CI: 0.051, 0.193) (Table 5).
The country-specific associations of environmental perceptions with leisure-time PA are shown in Tables S3-S4 (Additional file 1). Distinct associations by country were observed between perceived neighborhood built environment characteristics and leisure-time PA. Brazil was the country with the strongest associations between perceived aspects of the neighborhood built environment (land use mix-diversity, mix-access, walking/cycling facilities, the distance between intersections in the neighbourhood, speed of traffic, the presence of crosswalk and pedestrian signals, and proximity of shopping centers) and leisure-time PA (Additional file 1: Tables S3-S4).
The present study examined the associations between a wide range of perceived neighborhood built environment characteristics and domain-specific PA among adults from eight Latin American countries. Overall, perceived good access to services, many alternative routes to and from destinations, and low traffic speed were associated with higher odds of reporting any transport-related PA. In addition, perceived aesthetics, access to diverse destinations, safety from crime, presence of crosswalks and pedestrian signals, and proximity of shopping centers were positively associated with more weekly minutes of transport-related PA. The odds of reporting any leisure-time PA were higher among those who perceived their neighborhoods to be more aesthetically pleasing, having better access to diverse destinations and amenities, and better walking/cycling facilities. Only higher levels of perceived access to diverse destinations were associated with more time spent in leisure-time PA.
In line with the findings of our pooled analyses, the International Physical Activity Network (IPEN) study of adults from 17 cities in 12 countries, including three cities from Latin America (Bogota [Colombia], Curitiba [Brazil], Cuernavaca [Mexico]), reported positive associations of transport-related walking with perceived land use mix – access, land use mix - diversity, street connectivity, and aesthetics . The IPEN Adult study also observed positive associations of objectively-assessed street intersection density, parks, and land use mix with transport-related PA [14, 32]. Support for the positive effects of street connectivity and access to destination on adults’ transport-related PA can be also found in recent studies from Europe and New Zealand [33, 34]. Two countries in our study (Argentina and Costa Rica) showed a negative association between land use mix – diversity and any transport-related PA. This could be due to various reasons specific to the local environment such as area-level socio-economic status or crime rates, factors that were not included in the regression models of land use mix - diversity. Alternatively, the actual level of access to various destinations might have been so high that many respondents could reach destinations with minimal walking In fact, recent studies have observed negative effects of extreme levels of access to destinations on transport-related walking [35, 36]. These patterns are more likely to occur in locations with high population and destination densities as in many Latin American cities [6, 37]. Unexpected relationships between the built environment, parks and transport PA were also observed in Cuernavaca, Mexico and attributed to the local context .
The IPEN Adult study also found positive associations between leisure-time PA and aesthetics and access to diverse destinations but did not show an association with walking/cycling infrastructure as in our study . Similarly, no significant associations between aesthetics and weekly minutes of recreational walking were observed in the IPEN Adult Latin American countries. This suggests that, in the context of Latin America, aesthetics may promote the adoption of leisure-time PA but may not have a substantial impact on the accumulated amount of leisure-time PA. Interestingly, as in the IPEN Adult study , aesthetics were found to be positively related to transportation-PA in the pooled analyses, although this attribute is hypothesized to impact only leisure-time PA . It may be that aesthetically pleasing environments and green spaces can act as motivators for engaging in or spending more time in active transport. Alternatively, the distinction between leisure and transport PA may be unclear in dense, diverse communities where many trips fulfill both purposes.
While previous studies have found inconsistent associations between safety and transport-related PA we observed positive associations between transport PA and safety from crime and traffic [9, 33]. Perhaps, the degree of danger from both crime and traffic in Latin American cities accounts for these observations [5, 6]. These relationships may be especially challenging to tease out in Latin America where crime, traffic, and access to public transport vary greatly by neighborhood and where lower income residents must engage in active transport regardless of safety issues because they have no other choice [39, 40]. As in previous studies we found that multiple aspects of the built environment are associated with walking for transport or leisure [8, 17, 34, 38]. These findings are not surprising given that walking is the most common form of leisure-time PA among adults in all countries, and in most Latin American cities walking is also an essential part of urban mobility . Our results support thoughtful integration of efforts to improve conditions for walking with major public transit development such as Bus Rapid Transit systems (BRT) [42, 43]. We hypothesized that PA for transport could be associated with BRT use possibly because BRT is the fastest mode of transport, it has fixed stations, and its implementation is related to built-environment transformations. A commercial speed of 28 km/h allows for major time savings, especially on long trips , resulting from the presence of dedicated lanes and large stations with access to buses through multiple doors, and overtaking lanes that are used by express and local transit services. BRT construction is also associated with improved walking infrastructure (pedestrian bridges and wider sidewalks) . These factors together may attract users to walk longer distances to access BRT stations rather than use other available modes of transportation. In Latin America, BRT systems have been widely implemented as a cost-effective solution for urban mobility , but they also have the potential to stimulate the use of active modes of transport and reduce private car use, thus promoting PA .
It should be emphasized that the role of the public health policies in urban health and urban environments is particularly important in Latin America due to the significant cross-cutting impacts on human health and well-being. Public health researchers in Latin America have a responsibility to engage with policy decision making processes, taking part in debate and providing evidence-based strategies to promote policies that positively impact social determinants of health and transport and leisure time PA. By doing so, they can contribute to increased levels of PA, decreased risks of chronic diseases, and enhanced health equity.
This study has several limitations. Only urban areas were included in the study, thus the samples are not nationally representative. The cross-sectional design precludes determination of causality even with careful adjustment for covariates [35, 46, 47]. The use of self-report measures for both neighborhood environments and PA must be considered in the interpretation of the findings. Cultural differences have been reported in interpretation of IPAQ, and the lack of precision of IPAQ compared with objective measures of PA could decrease the likelihood of significant associations with environmental attributes . NEWS has been found to assess density and access to services more accurately in low-to-medium density urban environments . This study does have a number of strengths. These include the examination of perceptions of urban environments across eight countries, a large number of environmental variables assessed using common environmental measures, the large sample size, and comparable data collection protocols, which are rare in studies from Latin America. By providing a unique Latin American dataset, the present study enables cross-country comparisons not previously possible.
Perceived neighbourhood built environment characteristics are differentially associated with domain-specific PA in Latin America and can inform the development of PA promotion programs. Prospective studies of environmental characteristics and PA are needed, as well as evidence from intervention studies in order to further our understanding of these relationships and better inform public health policy and programs.
Improving perceptions of neighbourhood built environment as well as modifying the actual neighbourhood built environment could potentially increase PA among adults from Latin America.
Availability of data and materials
The datasets generated and/or analyzed during the current study are not publicly available due the terms of consent/assent to which the participants agreed but are available from the corresponding author on reasonable request. Please contact the corresponding author to discuss availability of data and materials.
US Department of Health and Human Services. 2018 Physical Activity Guidelines Advisory Committee. 2018 Physical activity guidelines advisory committee scientific report. Washington, DC: Department of Health and Human Services; 2018.
Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet Glob Health. 2018;6(10):e1077–e86. https://doi.org/10.1016/S2214-109X(18)30357-7.
Greene J, Guanais F. An examination of socioeconomic equity in health experiences in six Latin American and Caribbean countries. Rev Panam Salud Publica. 2018;42:e127. https://doi.org/10.26633/RPSP.2018.127.
UN. United Nations, 2012. World urbanization Prospects: The 2011 Revision: Data tables and highlights 2011 rev ed. 2012.
Lund C, De Silva M, Plagerson S, Cooper S, Chisholm D, Das J, et al. Poverty and mental disorders: breaking the cycle in low-income and middle-income countries. Lancet. 2011;378(9801):1502–14. https://doi.org/10.1016/S0140-6736(11)60754-X.
Kane JC, Vinikoor MJ, Haroz EE, Al-Yasiri M, Bogdanov S, Mayeya J, et al. Mental health comorbidity in low-income and middle-income countries: a call for improved measurement and treatment. Lancet Psychiatry. 2018;5(11):864–6. https://doi.org/10.1016/S2215-0366(18)30301-8.
Tabatabaie S, Litt JS, Carrico A. A Study of Perceived Nature, Shade and Trees and Self-Reported Physical Activity in Denver. Int J Environ Res Public Health. 2019;16(19). https://doi.org/10.3390/ijerph16193604.
Sugiyama T, Cerin E, Owen N, Oyeyemi AL, Conway TL, Van Dyck D, et al. Perceived neighbourhood environmental attributes associated with adults recreational walking: IPEN adult study in 12 countries. Health Place. 2014;28:22–30. https://doi.org/10.1016/j.healthplace.2014.03.003.
Kerr J, Emond JA, Badland H, Reis R, Sarmiento O, Carlson J, et al. Perceived neighborhood environmental attributes associated with walking and cycling for transport among adult residents of 17 cities in 12 countries: the IPEN study. Environ Health Perspect. 2016;124(3):290–8. https://doi.org/10.1289/ehp.1409466.
Schipperijn J, Cerin E, Adams MA, Reis R, Smith G, Cain K, et al. Access to parks and physical activity: an eight country comparison. Urban For Urban Green. 2017;27:253–63. https://doi.org/10.1016/j.ufug.2017.08.010.
Mitas J, Sas-Nowosielski K, Groffik D, Fromel K. The Safety of the Neighborhood Environment and Physical Activity in Czech and Polish Adolescents. Int J Environ Res Public Health. 2018;15(1). https://doi.org/10.3390/ijerph15010126.
Loh VHY, Veitch J, Salmon J, Cerin E, Mavoa S, Villanueva K, et al. Environmental Mismatch: Do Associations between the Built Environment and Physical Activity among Youth Depend on Concordance with Perceptions? Int J Environ Res Public Health. 2020;17(4). https://doi.org/10.3390/ijerph17041309.
Perez LG, Ruiz JM, Berrigan D. Neighborhood Environment Perceptions among Latinos in the U.S. Int J Environ Res Public Health. 2019;16(17). https://doi.org/10.3390/ijerph16173062.
Jauregui A, Salvo D, Lamadrid-Figueroa H, Hernandez B, Rivera JA, Pratt M. Perceived neighborhood environmental attributes associated with leisure-time and transport physical activity in Mexican adults. Prev Med. 2017;103S:S21–S6. https://doi.org/10.1016/j.ypmed.2016.11.014.
Jauregui A, Salvo D, Lamadrid-Figueroa H, Hernandez B, Rivera-Dommarco JA, Pratt M. Perceived and objective measures of neighborhood environment for physical activity among Mexican adults, 2011. Prev Chronic Dis. 2016;13:E76. https://doi.org/10.5888/pcd13.160009.
Jauregui A, Pratt M, Lamadrid-Figueroa H, Hernandez B, Rivera JA, Salvo D. Perceived neighborhood environment and physical activity: the international physical activity and environment network adult study in Mexico. Am J Prev Med. 2016;51(2):271–9. https://doi.org/10.1016/j.amepre.2016.03.026.
Sallis JF, Cerin E, Kerr J, Adams MA, Sugiyama T, Christiansen LB, et al. Built environment, physical activity, and obesity: findings from the international physical activity and environment network (IPEN) adult study. Annu Rev Public Health. 2020;41:119–39. https://doi.org/10.1146/annurev-publhealth-040218-043657.
Sallis JF, Cerin E, Conway TL, Adams MA, Frank LD, Pratt M, et al. Physical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study. Lancet. 2016;387(10034):2207–17. https://doi.org/10.1016/S0140-6736(15)01284-2.
Salvo D, Reis RS, Stein AD, Rivera J, Martorell R, Pratt M. Characteristics of the built environment in relation to objectively measured physical activity among Mexican adults, 2011. Prev Chronic Dis. 2014;11:E147. https://doi.org/10.5888/pcd11.140047.
Fisberg M, Kovalskys I, Gomez G, Rigotti A, Cortes LY, Herrera-Cuenca M, et al. Latin American study of nutrition and health (ELANS): rationale and study design. BMC Public Health. 2016;16(1):93. https://doi.org/10.1186/s12889-016-2765-y.
Ferrari G, Werneck AO, Silva DR, Kovalskys I, Gómez G, Rigotti A. Association between perceived neighborhood built environment and walking and cycling for transport among inhabitants from Latin America: the ELANS study. Int J Environ Res Public Health. 2020;17:6858. https://doi.org/10.3390/ijerph17186858.
Ferrari GLM, Kovalskys I, Fisberg M, Gómez G, Rigotti A, Sanabria LYC, et al. Methodological design for the assessment of physical activity and sedentary time in eight Latin American countries - the ELANS study. MethodsX. 2020;S2214–1405(19) 30076–30073. doi: https://doi.org/https://doi.org/10.1016/j.jth.2019.100788.
Guthold R, Stevens GA, Riley LM, Bull FC. Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1.6 million participants. Lancet Child Adolesc Health. 2020;4(1):23–35. https://doi.org/10.1016/S2352-4642(19)30323-2.
Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U, et al. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247–57. https://doi.org/10.1016/S0140-6736(12)60646-1.
Cerin E, Saelens BE, Sallis JF, Frank LD. Neighborhood environment walkability scale: validity and development of a short form. Med Sci Sports Exerc. 2006;38(9):1682–91. https://doi.org/10.1249/01.mss.0000227639.83607.4d.
Salvo D, Reis RS, Sarmiento OL, Pratt M. Overcoming the challenges of conducting physical activity and built environment research in Latin America: IPEN Latin America. Prev Med. 2014;69(Suppl 1):S86–92. https://doi.org/10.1016/j.ypmed.2014.10.014.
Cerin E, Sit CH, Cheung MC, Ho SY, Lee LC, Chan WM. Reliable and valid NEWS for Chinese seniors: measuring perceived neighborhood attributes related to walking. Int J Behav Nutr Phys Act. 2010;7:84. https://doi.org/10.1186/1479-5868-7-84.
Starnes HA, McDonough MH, Tamura K, James P, Laden F, Troped PJ. Factorial validity of an abbreviated neighborhood environment walkability scale for seniors in the Nurses' health study. Int J Behav Nutr Phys Act. 2014;11:126. https://doi.org/10.1186/s12966-014-0126-8.
Craig CL, Marshall AL, Sjostrom M, Bauman AE, Booth ML, Ainsworth BE, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381–95. https://doi.org/10.1249/01.MSS.0000078924.61453.FB.
Van Holle V, De Bourdeaudhuij I, Deforche B, Van Cauwenberg J, Van Dyck D. Assessment of physical activity in older Belgian adults: validity and reliability of an adapted interview version of the long International Physical Activity Questionnaire (IPAQ-L). BMC Public Health. 2015;15:433. https://doi.org/10.1186/s12889-015-1785-3.
Oyeyemi AL, Bello UM, Philemon ST, Aliyu HN, Majidadi RW, Oyeyemi AY. Examining the reliability and validity of a modified version of the international physical activity questionnaire, long form (IPAQ-LF) in Nigeria: a cross-sectional study. BMJ Open. 2014;4(12):e005820. https://doi.org/10.1136/bmjopen-2014-005820.
Christiansen LB, Cerin E, Badland H, Kerr J, Davey R, Troelsen J, et al. International comparisons of the associations between objective measures of the built environment and transport-related walking and cycling: IPEN adult study. J Transp Health. 2016;3(4):467–78. https://doi.org/10.1016/j.jth.2016.02.010.
Van Holle V, Deforche B, Van Cauwenberg J, Goubert L, Maes L, Van de Weghe N, et al. Relationship between the physical environment and different domains of physical activity in European adults: a systematic review. BMC Public Health. 2012;12:807. https://doi.org/10.1186/1471-2458-12-807.
Witten K, Blakely T, Bagheri N, Badland H, Ivory V, Pearce J, et al. Neighborhood built environment and transport and leisure physical activity: findings using objective exposure and outcome measures in New Zealand. Environ Health Perspect. 2012;120(7):971–7. https://doi.org/10.1289/ehp.1104584.
Cerin E, Barnett A, Zhang CJP, Lai PC, Sit CHP, Lee RSY. How urban densification shapes walking behaviours in older community dwellers: a cross-sectional analysis of potential pathways of influence. Int J Health Geogr. 2020;19(1):14. https://doi.org/10.1186/s12942-020-00210-8.
Boakye-Dankwa E, Barnett A, Pachana NA, Turrell G, Cerin E. Associations between latent classes of perceived neighborhood destination accessibility and walking behaviors in older adults of a low-density and a high-Density City. J Aging Phys Act. 2019;27(4):553–64. https://doi.org/10.1123/japa.2018-0297.
Montes F, Sarmiento OL, Zarama R, Pratt M, Wang G, Jacoby E, et al. Do health benefits outweigh the costs of mass recreational programs? An economic analysis of four Ciclovia programs. J Urban Health. 2012;89(1):153–70. https://doi.org/10.1007/s11524-011-9628-8.
Van Cauwenberg J, Nathan A, Barnett A, Barnett DW, Cerin E, Council on Environment and Physical Activity (CEPA)-Older Adults Working Group, et al. Relationships between Neighbourhood physical environmental attributes and older Adults' leisure-time physical activity: a systematic review and meta-analysis. Sports Med. 2018;48(7):1635–60. https://doi.org/10.1007/s40279-018-0917-1.
Unión Temporal Steer Davies - Centro Nacional de Consultoría. Informe de indicadores, Encuesta de Movilidad de Bogotá 2011. Bogotá: Unión Temporal Steer Davies - Centro Nacional de Consultoría; 2012.
Kerr J, Sallis JF, Owen N, De Bourdeaudhuij I, Cerin E, Sugiyama T, et al. Advancing science and policy through a coordinated international study of physical activity and built environments: IPEN adult methods. J Phys Act Health. 2013;10(4):581–601. https://doi.org/10.1123/jpah.10.4.581.
Lee IM, Buchner DM. The importance of walking to public health. Med Sci Sports Exerc. 2008;40(7 Suppl):S512–8. https://doi.org/10.1249/MSS.0b013e31817c65d0.
Parra DC, Gómez LF, Pratt M, Samiento OL, Triche E, Mosquera J. Policy and built environment changes in Bogotá and their importance in health promotion. Indoor Built Environ. 2007;16:344–8. https://doi.org/10.1177/1420326X07080462.
Gomez LF, Sarmiento R, Ordonez MF, Pardo CF, de Sa TH, Mallarino CH, et al. Urban environment interventions linked to the promotion of physical activity: a mixed methods study applied to the urban context of Latin America. Soc Sci Med. 2015;131:18–30. https://doi.org/10.1016/j.socscimed.2015.02.042.
Wright L. Bus rapid transit. Sustainable transport: a sourcebook for policy-makers in developing cities. Deutsche Gesellschaft für Technische Zusammenarbeit: Eschborn; 2002.
Sallis JF, Frank LD, Saelens BE, Kraft MK. Active transportation and physical activity: opportunities for collaboration on transportation and public health research. Transport Res Part A Policy Pract. 2004;38:249–68.
Schirmer PM, van Eggermond MAB, Axhausen KW. The role of location in residential location choice models: a review of literature. J Transport Land Use. 2014;7:3–21. https://doi.org/10.5198/jtlu.v7i2.740.
Lewis PG, Baldassare M. The complexity of public attitudes toward compact development. J Am Plan Assoc. 2010;76:219–37. https://doi.org/10.1080/01944361003646471.
Cerin E, Cain KL, Oyeyemi AL, Owen N, Conway TL, Cochrane T, et al. Correlates of agreement between Accelerometry and self-reported physical activity. Med Sci Sports Exerc. 2016;48(6):1075–84. https://doi.org/10.1249/MSS.0000000000000870.
Cerin E, Conway TL, Adams MA, Barnett A, Cain KL, Owen N, et al. Objectively-assessed neighbourhood destination accessibility and physical activity in adults from 10 countries: an analysis of moderators and perceptions as mediators. Soc Sci Med. 2018;211:282–93. https://doi.org/10.1016/j.socscimed.2018.06.034.
The authors would like to thank the staff and participants from each of the participating sites who made substantial contributions to ELANS. The following are members of ELANS Study Group: Chairs: Mauro Fisberg and Irina Kovalskys; Co-chair: Georgina Gómez Salas; Core Group Members: Attilio Rigotti, Lilia Yadira Cortés Sanabria, Georgina Gómez Salas, Martha Cecilia Yépez García, Rossina Gabriella Pareja Torres and Marianella Herrera-Cuenca; Steering committee: Berthold Koletzko, Luis A. Moreno and Michael Pratt; Accelerometry analysis: Priscila Bezerra Gonçalves, and Claudia Alberico; Physical activity advisor: Gerson Ferrari. Nutrition Advisors: Regina Mara Fisberg and Agatha Nogueira Previdelli. Project Managers: Viviana Guajardo, and Ioná Zalcman Zimberg.
Fieldwork and data analysis compromised in ELANS protocol was supported by a scientific grant from the Coca Cola Company, and by grant and/ or support from Instituto Pensi/Hospital Infantil Sabara, International Life Science Institute of Argentina, Universidad de Costa Rica, Pontificia Universidad Católica de Chile, Pontificia Universidad Javeriana, Universidad Central de Venezuela (CENDES-UCV)/Fundación Bengoa, Universidad San Francisco de Quito, and Instituto de Investigación Nutricional de Peru. André Werneck is supported by the São Paulo Research Foundation (FAPESP) with a PhD scholarship (FAPESP process: 2019/24124–7). This paper presents independent research. The views expressed in this publication are those of the authors and not necessarily those of the acknowledged institutions. The funding sponsors had no role in study design; the collection, analyses, or interpretation of data; writing of the manuscript; or in the decision to publish the results.
Ethics approval and consent to participate
Ethical approval was provided by the Western Institutional Review Board (#20140605), and by the ethical review boards of the participating institutions. ELANS is registered at Clinical Trials #NCT02226627. Written informed consent/assent was obtained from all individuals, before commencement of the study.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Logistic regression models for transport-related physical activity (PA) by country. Table S2. Linear regression models for transport-related physical activity (PA) by country. Table S3. Logistic regression models for leisure-time physical activity (PA) by country. Table S4. Linear regression models for leisure-time physical activity (PA) by country
About this article
Cite this article
Ferrari, G., Werneck, A.O., da Silva, D.R. et al. Is the perceived neighborhood built environment associated with domain-specific physical activity in Latin American adults? An eight-country observational study. Int J Behav Nutr Phys Act 17, 125 (2020). https://doi.org/10.1186/s12966-020-01030-6
- Active transportation
- Physical activity
- Neighborhood built environment
- Latin America