Perceptions of neighborhood environments and their association with overweight in children, adolescents, and caretakers in a medium-sized city in Brazil
© The Author(s) 2016
Received: 4 August 2016
Accepted: 31 October 2016
Published: 7 March 2017
Previous studies conducted in developed countries have suggested associations between perceptions of neighborhood characteristics and weight gain. However, there are few studies regarding the adult perception of the residential environment and overweight in children and adolescents in countries with low and medium income. The aim of the study was to assess the associations between caretakers’ perceptions of environmental characteristics and overweight in themselves and in their children, in a medium-sized city in Brazil.
Cross-sectional study was performed with 708 children and adolescents and their caretakers. Anthropometric measurements and a structured questionnaire filled out by caretakers concerning child and family characteristics were completed. For environmental assessment, 408 caretakers answered the Portuguese version of the “Neighborhood Environment Walkability Scale” by telephone call. A 95% confidence interval (95%CI) was used in the analysis. Unadjusted prevalence ratios (PR) were calculated, as were PR adjusted for age, gender, family income, and total time of exercise the children or adolescents practiced (from Poisson regression models predicting children’s and adolescents’ overweight), and for age and family income (from Poisson regression models predicting caretakers’ overweight). Statistical significance was defined as a p value <0.05.
Adult perceptions about the absence of sidewalks on most streets (PR = 0.49, 95%CI = 0.42–0.98) and the absence of interesting things to look at (esthetics) in the neighborhood (PR = 0.65, 95%CI = 0.44–0.90) were inversely associated with the prevalence of overweight in the children and adolescents after adjustment. The absence of hills in the neighborhood (PR = 1.24, 95%CI = 1.05–1.45) and the perception of heavy exhaust fumes (PR = 1.26, 95%CI = 1.02–1.56) were directly associated with the prevalence of overweight in the caretakers. Finally, the high speed of traffic on the street (PR = 0.76, 95%CI = 0.63–0.92) was inversely associated with the prevalence of adult overweight.
The results showed, in Brazil, the importance of understanding aspects related to obesogenic environment in the context of medium-sized Brazilian cities.
The high prevalence of overweight in children and adolescents and its associations with metabolic complications is considered a serious public health problem [1, 2]. In Brazil, data from a national survey on families’ budgets in 2008–2009 showed that 33.5% of children aged 5 to 9 years are overweight and 14.3% of them are obese. Among adolescents, the prevalence of overweight was 20.5% and of obesity was 4.9% . Unhealthy eating habits, such as greater consumption of processed and ultra-processed foods and sedentary activities, are immediately related factors of weight gain [4, 5].
In addition, recent studies have focused attention on how neighborhood built environments affect individuals’ participation in physical activity (PA) and ultimately their BMI. The evidence suggests an association between individual health outcomes, like weight gain, and characteristics of the environment where families live . Access to sports facilities, parks, and green areas; paved streets in good condition; existence of sidewalks and bike paths; availability of establishments that sell healthy foods and safety of the neighborhood are some of the aspects that can change behaviors related to food consumption and PA in children and adolescents, as well as adults and seniors [7–9].
When it comes to children, because they have less autonomy than adults, there is a dependence factor on caretakers’ perceptions of these characteristics, which results in a particular impact on their weight status and PA [10–13]. The caretakers have an important role related to children and adolescents , and therefore, it is possible that their perceptions of neighborhood environments and safety may affect the behaviors of this group . However, the relationship between environmental factors and overweight in medium-sized cities in medium-income countries, like Brazil, is still not fully clarified.
In countries with low and medium income, studies of urban areas that investigate aspects related to weight status in childhood and adolescence are still scarce and questions remain about the applicability of surveys constructed in developed countries to local contexts. Most of the evidence was found in developed countries, which have social, cultural, and environmental factors different from the reality of countries like Brazil [16, 17]. Therefore, the aim of this study was to assess the associations between caretakers’ perceptions of environmental characteristics and overweight in themselves and in their children, in a medium-sized city in Brazil.
A cross-sectional study was conducted in children, adolescents, and their caretakers in the city of Juiz de Fora, Minas Gerais, Brazil. Data collection took place from 2011 to 2014. The study was performed with children and adolescents, ages 6–16 years, of both genders, from public elementary and high schools in the city’s suburban area.
According to the school census , in 2009, the total number of children and adolescents enrolled in public schools in Juiz de Fora was 71,671 students. To estimate the sample size, a comparative analysis between the proportions (chi-square) was made. The statistical power calculated was 95%, considering an alpha of 5%, an effect size of w = 0.15 and df = 1.5. Based on these criteria, a minimum sample of 687 students was established. For these calculations, the G*Power software, version 220.127.116.11, was used.
A total of 708 students were selected. At first, a casual sampling stratification was considered, so the number of schools was proportional to the total number of students in each class. Subsequently, the selection of the students, by schools, was made from a simple random drawing by class, using a table of random numbers, which was filled to complete the required number of students per school.
Instrumentation and procedure
The anthropometric measurements of height and weight of children, adolescents, and their caretakers were taken, at schools, without shoes and wearing light clothes, by trained researchers using a calibrated digital weighing-machine (weight per kilogram) and a portable stadiometer (height per meter).
For children and adolescents, the body mass index (BMI) was calculated based on the height and weight (kg/m2) and, subsequently, the z-score was considered based on the growth reference data of the World Health Organization (WHO). Children’s and adolescents’ weight status were classified as normal < +1SD and overweight > + 1SD . For adults, BMI was categorized as normal (18.5 kg/m2 ≤BMI < 25 kg/m2) and overweight (BMI ≥ 25 kg/m2), according to the values proposed by the WHO .
Additionally, a questionnaire developed by this study’s researchers was used. Its variables were kinship with the caretaker, gender (for caretaker and students), ethnicity (for students), age (for caretakers and students), date of birth (for students), practice of PA (for students), food consumption (for students), income (for caretakers), and education (for caretakers).
To analyze the perception of residential environment, a subsample of 408 caretakers (57% of the initial sample) who agreed to answer a telephone interview conducted by trained researchers was made. The subsample did not differ statistically in relation to socio-demographic characteristics of the total sample.
The perception of the neighborhood physical environments was assessed using the Brazilian version of the Neighborhood Environment Walkability Scale (NEWS), originally developed by Saelens et al. , translated and validated in Portuguese by Malavasi . For this study, a reduced version of the scale was used, contemplating the items of proximity and access of general establishments and social structures, facilities for walking and cycling, road characteristics, surrounding neighborhood characteristics, traffic safety, security against crime, and satisfaction with the neighborhood. The item related to residential density was not used.
The associations between the scale’s questions and the study outcomes were analyzed, and the answers were dichotomized into “agree” (considering the options “agree” and “strongly agree”) and “disagree” (considering the options “disagree” and “strongly disagree”).
Continuous variables, which were skewed, were described in terms of median and interquartile range (IQR). The Wilcoxon test was used to analyze the differences between gender and children’s and adolescents’ ages, total time of exercise in which the child or adolescent engaged, and household income. Categorical variables were presented as relative frequencies and percentages, and chi-square was used to analyze the differences. Stata (Statistical Software for Professionals) version 13.0 was used for all the statistical analyses.
Poisson regression models were constructed to quantify the relationships between perceived environment and child, adolescent, and caretaker overweight. Crude prevalence ratios (PR) were calculated, and the criterion used for selection of variables in the bivariate analysis was p ≤ 0.20. After the bivariate analysis, the association was verified between overweight and the perceived environment variables adjusted for potential confounding factors.
For the child or adolescent, the PRs were adjusted by age, gender, household income, and total time of exercise the child or adolescent practiced, and for caretakers, the PRs were adjusted for age and household income. A 95% confidence interval (95%CI) was used to guide interpretation of Poisson models. Statistical differences were evaluated according to the likelihood ratio (LR) and the Wald test. In the bivariate and multivariate analyses, the measure of association was prevalence ratio (PR), calculated with the aid of Poisson regression with an estimator of robust variance . Due to the extent of the scale, the tables were organized into groups according to the NEWS.
This study was approved by the Ethics Committee on Research in Humans at the Universidade Federal de Juiz de Fora (UFJF), case number 522.694.
Descriptive statistics for children, adolescents, and caretakers, by gender
Children and adolescents age (years)
Total time of exercise that children or adolescents practiced daily (min)
Household income (R$)
1st tercile income (R$400–1200)
2nd tercile income (R$1044–1800)
3rd tercile tncome (R$1866–8500)
11 or more years
Caretakers’ weight status
Children’s and adolescents’ weight status
The Wilcoxon test showed significant differences in the total time of exercise the child or adolescent practiced between genders (p < 0.001). The predominant prevalence of the caretaker’s education in total was 4 to 7 years (38.4%). In this sample, 33.6% of the children and adolescents were overweight (95%CI = 0.29–0.38). The prevalence of overweight in caretakers was 67.8% (95%CI = 0.62–0.73) (values not shown in the tables).
Prevalence rates from Poisson regression models predicting children’s and adolescents’ overweight and caretakers’ overweight
Unadjusted PR (95%CI)
Adjusted PRa (95%CI)
Children’s and adolescents’ overweight
Places for walking or cycling (reference = agree)
There are sidewalks on most of the streets.
The sidewalks are well maintained (paved, even, and not many cracks).
There are bicycle or pedestrian trails in or near my neighborhood that are easy to access.
Neighborhood surroundings (reference = agree)
There are trees along the streets.
Trees give shade for the sidewalks.
There are many interesting things to look at while walking.
My neighborhood is generally free from litter.
There are many attractive nature landscapes.
There are many attractive buildings/homes.
There are parks or other locations for physical activity or walking.
Access to services (reference = agree)
I can do most of my shopping at local stores.
Stores are within easy walking distance of my home.
Parking is difficult in local shopping areas.
Many places to go within easy walking distance of my home.
It is easy to walk to a bus stop (train, subway) from my home.
The streets are hilly, making my neighborhood difficult to walk in.
Many canyons/hillsides limit the number of routes for getting from place to place.
Traffic safety (reference = agree)
So much traffic along the street I live on that it makes it difficult or unpleasant to walk.
So much traffic along nearby streets that it makes it difficult or unpleasant to walk.
The speed of traffic on the street I live on is usually slow (30 mph or less).
Most drivers exceed the posted speed limits while driving.
Crosswalks and pedestrian signals to help walkers cross busy streets.
The crosswalks help walkers feel safe crossing busy streets.
When walking, there are heavy exhaust fumes (such as from cars, buses).
After adjusting for age, gender, family income, and total time of exercise that children or adolescents practiced, significant associations between children’s and adolescent’s overweight and the following perceptions of the residential environment were found. The caretaker’s perception about lack of sidewalks on most streets (PR = 0.50, 95%CI = 0.28–0.90) and the neighborhood surroundings/esthetics (PR = 0.69, 95%CI = 0.49–0.96) were significantly and inversely associated with the prevalence of children’s and adolescents’ overweight (Table 2).
For caretakers, perceived absence of hills (i.e., flat terrain) in the neighborhood (PR = 1.24, 95%CI = 1.07–1.42) and heavy exhaust fumes (such as from cars, buses) when walking (PR = 1.26, 95%CI = 1.02–1.56) were directly associated with the prevalence of caretakers’ overweight in the sample. High traffic speed on the streets (PR = 0.82, 95%CI = 0.70–0.96), in contrast, was inversely associated with caretakers’ overweight. Both factors were found even in unadjusted data and after adjusting for age and family income (Table 2).
The present study evaluated the associations of the adult-perceived environment with overweight in themselves and in their children, in a medium-sized city in Brazil. This is one of the few studies with this theme conducted in a medium-sized city in Brazil. The results may be important for urban planning, connecting associations of a city’s characteristics and health status. Despite the scarcity of similar studies in this country, for a comparison with the results of this paper, there is increasing discussion in developed countries about aspects of neighborhood-related subjective indicators and health issues.
Studies have shown that parental perceptions are associated with the weight status of children and adolescents, who are under the responsibility of an adult and do not have autonomy over their decisions [24, 25]. In addition, walking and cycling for transportation by youth have been associated with objective measurements of community design and transportation attributes such as distance to destinations, sidewalks, and traffic safety [26, 27].
On environmental perception, as a rule, it has been found that subjects with more positive impressions are more likely to be physically active [28, 29]. An Australian study , for example, examining perceptions and behaviors of adults, found that improved perceptions of accessibility to destinations and esthetics were associated with increased walking levels, which impact directly on weight status. However, in this research, most of the results showed different associations with other studies’ results about environmental perceptions and their associations with child, adolescent, and adult overweight. This demonstrates the necessity of conducting other studies, due to the differing aspects of neighborhood perceptions in medium-sized cities in Brazil. A similar situation has been found in a systematic review: only 30% of the associations between parents’ perceptions of the environment and children’s activities were significant in the anticipated directions .
This study suggested that when caretakers disagree that their neighborhood has sidewalks on most of the streets, and many interesting things to look at while walking there, the association with the prevalence of overweight in their children was inverse. A possible reason for this finding may be the urban design of the city under study, which is unplanned, and the absence of sidewalks and the “bad” esthetics that are realities in most of the neighborhoods. However, previous studies have shown that the absence of sidewalks and bicycle lanes—or their poor maintenance—limit the active mobility and place at risk the safety of those who decide to use them. This situation may result in decreased PA and, consequently, in the weight gain of the local population [24, 25, 32].
About neighborhood esthetics, Mota et al.  found that more physically active adolescents are the ones who care about the recreational opportunities and beauty of the neighborhood. Nogueira et al.  studied the environmental perception of parents and the nutritional status of their children. They found that neighborhoods with better access to destinations and interesting things to look at were associated with lower BMI in Portuguese girls. Thus, it is important to conduct further studies to better understand the aspects of neighborhood surroundings in medium-sized cities in developing countries because these aspects may have different perceptions compared with cities in developed countries.
For caretakers, the perception of neighborhoods without canyons/hillsides was associated with a higher prevalence of overweight adults. It is noteworthy that in the city of Juiz de Fora, many neighborhoods are located in hilly areas, consequently influencing walkability. For traffic safety, when caretakers disagree with the perception of lower traffic speeds on the street, this was associated with a lower prevalence of overweight. Other studies show consistent results that traffic safety is an important attribute related to a better PA profile and weight of individuals [33–35]. The association of perceived traffic speed and overweight was inverse in this study, and the authors believe it was because Brazilian urban environments are different from those in developed countries. Most Brazilian urban neighborhoods have infrastructure, transportation, and road designs that may not be adequately captured by measures constructed in the developed countries, and this may explain the fact that a different association was found about the perception of traffic safety.
Also for caretakers, the perception of heavy exhaust fumes when walking was associated with a higher prevalence of overweight adults. The perception of polluted air may inhibit people from walking or cycling, leading to weight gain for those subjects . In polluted environments, people also feel less comfortable practicing PA, because of the difficulty in breathing caused by some fume components .
For domains related to perceived safety from crime, stores, facilities, and other things in neighborhood, and neighborhood satisfaction, no associations were found with the prevalence of overweight in children, adolescents, and their caretakers.
Some limitations of this research should be acknowledged. First, this is a cross-sectional study that can reveal associations, but not causalities. Second, this study was based on a subsample of the caretakers’ reports about environmental characteristics, rather than on direct observation. In this analysis, the focus was only on subjective perceptions of safety and the subjective presence of environmental features. Although there is evidence that perceptions of the environment may not match objective measures , it is unclear whether perceived safety corresponds with concrete safety, and whether perceived or actual barriers play a more important role in the context of caretaker decisions.
These findings suggest that the built and social environment, and the associations with overweight and PA, have complex patterns according to the type of city studied. This reinforces the importance of conducting more studies to try to understand the real aspects related to the perception of environment and its relationship to overweight in Brazil. This was the first study known by the authors to be done in this country that evaluated perceptions of caretakers and their relation with overweight in children and adolescents, and comparisons were limited, since they were conducted with the results found in other countries, which have different environmental characteristics.
The results emphasize the importance of understanding the aspects related to the obesogenic environment in the context of medium-sized Brazilian cities and that they may differ from larger cities.
The authors would like to thank the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), for the financial support, and the Nutrition Department of the Universidade Federal de Juiz de Fora, for the structural support.
This study received financial support from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (Grant Number 484946/2013-7).
Availability of data and materials
The datasets and/or material analyzed during the current study are available from the corresponding author upon reasonable request.
MAL and MMdeA worked on the study design, data analysis, writing, editing, and article’s final version. BPLS worked on the data collection, data analysis, writing, editing, and article’s final version. FPM worked on the study design, data analysis, writing, and article’s final version. CP worked on the data analysis, on the discussion, and on the article’s final version. APCC and LLM worked on all stages, from the study design to the review of the article’s final version. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
All participants of the study signed a consent form.
Ethics approval and consent to participate
This study was approved by the Ethics Committee on Research in Humans of the Universidade Federal de Juiz de Fora (UFJF), case number 522.694.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodie ML, et al. The global obesity pandemic: shaped by global drivers and local environments. Lancet. 2011;378:804–14.View ArticlePubMedGoogle Scholar
- Reilly JJ, Kelly J. Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. Int J Obes (Lond). 2011;35:891–8.View ArticleGoogle Scholar
- Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa de orçamentos familiares 2008–2009: antropometria e estado nutricional de crianças, adolescentes e adultos no Brasil. Rio de Janeiro: IBGE; 2010. Available at: http://biblioteca.ibge.gov.br/visualizacao/livros/liv45419.pdf. Accessed on 12 Aug 2015.Google Scholar
- Louzada ML, Baraldi LG, Steele EM, Martins AP, Canella DS, Moubarac JC, et al. Consumption of ultra-processed foods and obesity in Brazilian adolescents and adults. Prev Med. 2015;81:9–15.View ArticlePubMedGoogle Scholar
- Ferrari GLM, Araújo TL, Oliveira LC, Matsudo V, Fisberg M. Association between electronic equipment in the bedroom and sedentary lifestyle, physical activity, and body mass index of children. J Pediatr (Rio J). 2015;279:1–9.Google Scholar
- Suglia SF, Shelton RC, Hsiao A, Wang YC, Rundle A, Link BG. Why the neighborhood social environment is critical in obesity prevention. J Urban Health. 2016;93:206–12.View ArticlePubMedPubMed CentralGoogle Scholar
- Burgoine T, Alvanides S, Lake AA. Assessing the obesogenic environment of north east England. Health Place. 2011;17:738–47.View ArticlePubMedGoogle Scholar
- Aarts MJ, Mathijssen JJ, Van Oers JA, Schuit AJ. Associations between environmental characteristics and active commuting to school among children: a cross-sectional study. Int J Behav Med. 2013;20:538–55.View ArticlePubMedGoogle Scholar
- Nyunt MSZ, Shuvo FK, Eng JY, Yap KB, Scherer S, Hee LM, et al. Objective and subjective measures of neighborhood environment (NE): relationships with transportation physical activity among older persons. Int J Behav Nutr Phys Act. 2015;12:108.View ArticlePubMedPubMed CentralGoogle Scholar
- Ferrão MM, Gama A, Marques VR, Mendes LL, Mourão I, Nogueira H, et al. Association between parental perception of residential neighborhood environment and childhood obesity in Porto, Portugal. Eur J Pub Health. 2013;23:1027–31.View ArticleGoogle Scholar
- De Vet E, de Ridder DTD, de Wit JBF. Environmental correlates of physical activity and dietary behaviors among young people: a systematic review of reviews. Obes Rev. 2010;12:e130–42.View ArticleGoogle Scholar
- Grow HMG, Cook AJ, Arterburn DE, Saelens BE, Drewnowski A, Lozano P. Child obesity associated with social disadvantage of children’s neighborhoods. Soc Sci Med. 2010;71:584–91.View ArticlePubMedPubMed CentralGoogle Scholar
- Oyeyemi AL, Ishaku CM, Deforche B, Oyeyemi AY, De Bourdeaudhuij I, Van Dyck D. Perception of built environmental factors and physical activity among adolescents in Nigeria. Int J Behav Nutr Phys Act. 2014;11:56.View ArticlePubMedPubMed CentralGoogle Scholar
- Veitch J, Salmon J, Ball K. Individual, social and physical environmental correlates of children’s active free-play: a cross-sectional study. Int J Behav Nutr Phys Act. 2010;7:11.View ArticlePubMedPubMed CentralGoogle Scholar
- Lavin FJ, Totaro GLM, Mamondi V, Pereira AG, Florindo AA, Berra S. Neighborhood and family perceived environments associated with children’s physical activity and body mass index. Prev Med. 2016;82:35–41.View ArticleGoogle Scholar
- Parra DC, Hoehner CM, Hallal PC, Ribeiro IC, Reis R, Brownson RC, et al. Perceived environmental correlates of physical activity for leisure and transportation in Curitiba, Brazil. Prev Med. 2011;52:234–8.PubMedGoogle Scholar
- Belon AP, Nykiforuk C. Possibilities and challenges for physical and social environment research in Brazil: a systematic literature review on health behaviors. Cad Saúde Pública. 2013;29:1955–73.View ArticlePubMedGoogle Scholar
- BRASIL. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira Censo Escolar (INEP). Censo Escolar 2009. Brasília, 2009. Available at: http://portal.inep.gov.br/web/guest/inepdata. Accessed on 12 Apr 2016.
- De Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85:660–7.View ArticlePubMedPubMed CentralGoogle Scholar
- World Health Organization (WHO). Obesity: preventing and managing the global epidemic (WHO technical report series, 894). Geneva: Report of a WHO Consultation on Obesity; 1998.Google Scholar
- Saelens BE, Sallis JF, Black JB, Chen D. Neighborhood-based differences in physical activity: an environment scale evaluation. Am J Public Health. 2003;93:1552–8.View ArticlePubMedPubMed CentralGoogle Scholar
- Malavasi LM. Escala de mobilidade ativa em ambiente comunitário (News–versão brasileira): validade e fidedignidade [dissertação]. Santa Catarina (Florianópolis): Universidade Federal de Santa Catarina; 2006.Google Scholar
- Barros AJ, Hirakata VN. Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003;3:21.View ArticlePubMedPubMed CentralGoogle Scholar
- Nogueira H, Ferrão M, Gama A, Mourão I, Marques VR, Padez C. Perceptions of neighborhood environments and childhood obesity: evidence of harmful gender inequities among Portuguese children. Health Place. 2013;19:69–73.View ArticlePubMedGoogle Scholar
- D’ Haese S, Van Dyck D, De Bourdeaudhuij I, Deforche B, Cardon G. The association between the parental perception of the physical neighborhood environment and children’s location-specific physical activity. BMC Public Health. 2015;15:565.View ArticleGoogle Scholar
- Yeung J, Wearing S, Hills AP. Child transport practices and perceived barriers in active commuting to school. Transportation Res A: Policy Pract. 2008;42(6):895–900.Google Scholar
- Rosenberg D, Ding D, Sallis JF, Kerr J, Norman GJ, Durant N, et al. Neighborhood Environment Walkability Scale for Youth (NEWS-Y): reliability and relationship with physical activity. Prev Med. 2009;49(2–3):213–8.View ArticlePubMedGoogle Scholar
- Gebel K, Bauman A, Owen N. Correlates of non-concordance between perceived and objective measures of walkability. Ann Behav Med. 2009;37(2):228–38.View ArticlePubMedGoogle Scholar
- Reed JA, Ainsworth BE, Wilson DK, Mixon G, Cook A. Awareness and use of community walking trails. Prev Med. 2004;39(5):903–8.View ArticlePubMedGoogle Scholar
- Humpel N, Marshall AL, Leslie E, Bauman A, Owen N. Changes in neighborhood walking are related to changes in perceptions of environmental attributes. Ann Behav Med. 2004;27(1):60–7.View ArticlePubMedGoogle Scholar
- Ding D, Sallis JF, Kerr J, Lee S, Rosenberg DE. Neighborhood environment and physical activity among youth: a review. Am J Prev Med. 2011;41:442–55.View ArticlePubMedGoogle Scholar
- Mota J, Almeida M, Santos P, Ribeiro JC. Perceived neighborhood environments and physical activity in adolescents. Prev Med. 2005;41:834–6.View ArticlePubMedGoogle Scholar
- Roux AVD. Investigating neighborhood and area effects on health. Am J Public Health. 2001;91:1783–9.View ArticleGoogle Scholar
- Lovasi GS, Jacobson JS, Quinn JW, Neckerman KM, Ashby-Thompson MN, Rundle A. Is the environment near home and school associated with physical activity and adiposity of urban preschool children? J Urban Health. 2011;88:1143–57.View ArticlePubMedPubMed CentralGoogle Scholar
- De Bourdeaudhuij I, Van Dyck D, Salvo D, Davey R, Reis RS, Schofield G, et al. International study of perceived neighborhood environmental attributes and body mass index: IPEN adult study in 12 countries. Int J Behav Nutr Phys Act. 2015;12:62.View ArticlePubMedPubMed CentralGoogle Scholar
- World Health Organization (WHO). Ambient air pollution database. 2014. http://apps.who.int/gho/data/view.main.AMBIENTCITY2014?lang=en. Accessed 10 Aug 2015.
- Kampa M, Castanas E. Human health effects of air pollution. Environ Pollut. 2008;151(2):362–7.View ArticlePubMedGoogle Scholar
- Owen N, Humpel N, Leslie E, Bauman A, Sallis JF. Understanding environmental influences on walking: review and research agenda. Am J Prev Med. 2004;27:67–76.View ArticlePubMedGoogle Scholar