Acessibilidade / Reportar erro

OVERWEIGHT, PERCEIVED ENVIRONMENT, AND SOCIAL DEPRIVATION: A STUDY ON THE PERCEPTION OF PARENTS OR GUARDIANS

ABSTRACT

Objective:

To investigate parents’ or guardians’ perception of their residential proximity to food retailers, leisure areas, and spaces for physical activity according to neighborhood social deprivation, and test associations between the perceived environment and their children’s overweight.

Methods:

Cross-sectional study conducted with 408 children and adolescents (6- to 15-year-olds) attending public schools in a medium-sized Brazilian city. Data were collected from 2011 to 2014. A telephone interview using a structured research tool determined the presence of overweight and the walking time between the participants’ home and the places evaluated. The indicator of social deprivation adopted was the Health Vulnerability Index. Logistic regression models were constructed to predict the perception of proximity (social deprivation as an explanatory variable) and evaluate perceived environmental factors (explanatory variables) associated with overweight (outcome).

Results:

Residents of areas with higher social vulnerability showed a probability of perceived proximity 50 to 71% lower to supermarkets, street/produce markets, parks, recreation areas/community centers, and gyms compared to residents of less vulnerable areas. The perceived proximity to parks reduced the chance of overweight in children and adolescents in 73%, with an odds ratio (OR) of 0.27 (95%CI 0.07-0.95; p<0.05).

Conclusions:

The perceived environment of the residential area infrastructure might be related to neighborhood social deprivation and the presence of overweight in children and adolescents.

Keywords:
Socioeconomic factors; Feeding; Leisure activities

RESUMO

Objetivo:

Investigar a percepção de pais ou responsáveis sobre a proximidade residencial a locais de venda de alimentos, de lazer e de atividade física segundo a privação social da vizinhança e testar associações do ambiente percebido com o excesso de peso de seus filhos.

Métodos:

Estudo transversal conduzido com 408 crianças e adolescentes (6 a 15 anos de idade) de escolas públicas de um município de médio porte brasileiro. A coleta de dados ocorreu de 2011 a 2014. Foram determinados a presença de excesso de peso e o tempo de deslocamento da residência dos participantes aos locais avaliados, questionados durante entrevista telefônica com instrumento de pesquisa estruturado. O indicador de privação social adotado foi o Índice de Vulnerabilidade da Saúde. Modelos de regressão logística foram construídos para predizer a proximidade percebida (privação social como variável explicativa) e para avaliar os fatores do ambiente percebido (variáveis explicativas) associados ao excesso de peso (desfecho).

Resultados:

Moradores de áreas com maior vulnerabilidade social apresentaram chances de percepção de proximidade 50 a 71% menores para supermercados, feiras/sacolões, parques, áreas de lazer/centros comunitários e academias de ginástica, quando comparados a residentes de áreas com menor vulnerabilidade. A percepção de proximidade a parques reduziu em 73% a chance de excesso de peso em crianças e adolescentes, com Odds Ratio (OR) de 0,27 (IC95% 0,07-0,95; p<0,05).

Conclusões:

A percepção ambiental sobre a infraestrutura da área residencial pode estar relacionada com a privação social da vizinhança e a presença de excesso de peso em crianças e adolescentes.

Palavras-chave:
Fatores socioeconômicos; Alimentação; Atividades de lazer

INTRODUCTION

Obesity in children and adolescents is a public health issue in several countries due to its progressive prevalence increase in recent decades, and for being an important risk factor for the development of chronic non-communicable diseases, which contribute to reduce life quality and expectancy.11. Townshend T, Lake A. Obesogenic environments: current evidence of the built and food environments. Perspect Public Health. 2017;137:38-44. As a multifactorial disease, besides genetic components and lifestyle habits, family, social, and environmental contexts can be predictors of weight gain.22. Motter AF, Vasconcelos FA, Correa EN, Andrade DF. Retail food outlets and the association with overweight/obesity in schoolchildren from Florianópolis, Santa Catarina State, Brazil. Cad Saúde Pública. 2015;31:620-32.

Regarding the influence of the environment on food consumption, in developed countries, the lower distance and higher density of fast food restaurants and convenience stores in the residential surroundings are associated with more monotonous and highly caloric food choices among children and adolescents.33. Engler-Stringer R, Shah T, Bell S, Muhajarine N. Geographic access to healthy and unhealthy food sources for children in neighbourhoods and from elementary schools in a mid-sized Canadian city. Spat Spatiotemporal Epidemiol. 2014;11:23-32. Moreover, the lack of leisure spaces and facilities can hinder the practice of physical activity.11. Townshend T, Lake A. Obesogenic environments: current evidence of the built and food environments. Perspect Public Health. 2017;137:38-44. Together, these factors represent an obesogenic behavior and contribute to the increase in obesity prevalence for this age group.44. Singh GK, Siahpush M, Kogan MD. Neighborhood socioeconomic conditions, built environments, and childhood obesity. Health Aff (Millwood). 2010;29:503-12.

The social environment includes different aspects, such as housing, safety, income, and access to healthcare services, which can also influence the behavior of individuals and health outcomes, be it by creating opportunities and facilitating the decision-making process, or by hindering them.55. Barnett E, Casper M. A definition of "social environment". Am J Public Health. 2001;91:465. The concept of social deprivation has been used to evaluate this environment with the purpose of identifying, measuring, and explaining the forms of inequality based on socioeconomic conditions.66. Fu M, Exeter DJ, Anderson A. The politics of relative deprivation: a transdisciplinary social justice perspective. Soc Sci Med. 2015;133:223-32. In this scenario, neighborhoods with greater social deprivation are the most affected, presenting less diversity of trades and services, which is possibly a result of the scarcity of local resources and infrastructure, and high crime rates.77. Maguire ER, Burgoine T, Monsivais P. Area deprivation and the food environment over time: A repeated cross-sectional study on takeaway outlet density and supermarket presence in Norfolk, UK, 1990-2008. Health Place. 2015;33:142-7.

International data on the availability and access to food retailers showed that children and adolescents who live close to stores specialized in the sale of fresh and unprocessed foods - such as produce markets -,88. Jennings A, Welch A, Jones AP, Harrison F, Bentham G, Sluijs EM, et al. Local food outlets, weight status, and dietary intake: associations in children aged 9-10 years. Am J Prev Med. 2011;40:405-10. away from places that sell unhealthy foods - e.g., fast food restaurants -,99. Carroll-Scott A, Gilstad-Hayden K, Rosenthal L, Peters SM, McCaslin C, Joyce R, et al. Disentangling neighborhood contextual associations with child body mass index, diet, and physical activity: the role of built, socioeconomic, and social environments. Soc Sci Med. 2013;95:106-14. and in areas with a higher number of supermarkets that predominantly sell healthy foods over unhealthy ones1010. Hutchinson Pl, Bodor JN, Swalm CM, Rice JC, Rose D. Neighborhood food environments and obesity in southeast Louisiana. Health Place. 2012;18:854-60. showed lower obesity prevalence.

In Brazil, studies on the environment focused on objective measures suggest that residents of higher income neighborhoods have better access to all types of food retailers, including supermarkets and street markets.1111. Jaime PC, Duran AC, Sarti FM. Lock K. Investigating environmental determinants of diet, physical activity, and overweight among adults in Sao Paulo, Brazil. J Urban Health. 2011;88:567-81. However, studies that investigate parents’ or guardians’ perception of environmental aspects and relate them to the nutritional status of their children are still scarce1212. Leite MA, Assis MM, Silva BP, Matozinhos FP, Padez C, Cândido AP, et al. Perceptions of neighborhood environments and their association with overweight in children, adolescents, and caretakers in a medium-sized city in Brazil. Nutrire. 2017;42:8., and, currently, there are none that consider the contrasts between the different socioeconomic status of the place of residence.

Considering the importance of exploring the environmental inequalities that could affect health conditions, the purpose of the present study was to investigate the differences in parents’ or guardians’ perception of their residential proximity to food retailers and leisure areas/spaces for physical activity in levels of neighborhood social deprivation. We also aimed to test the associations between the perceived environment and their children’s overweight.

METHOD

This is a cross-sectional study conducted with children and adolescents aged 6 to 15 years attending public schools and their parents or guardians in a medium-sized Brazilian city (Juiz de Fora, Minas Gerais). Data were collected from 2011 to 2014.

According to the 2009 School Census,1313. Brasil - Ministério da Educação. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira/INEP.Censo Escolar 2009. Brasília: Ministério da Educação; 2009. the number of children and adolescents enrolled in public schools in Juiz de Fora was 71,671. To calculate the sample size, we used an estimate of proportion of 50% for a given characteristic, a value that provides the largest sample size for a finite population (71,671), and set the significance level (alpha or type I error) and sampling error in 5%.1414. Browner WS, Cummings SR, Hulley SB. Estimando o tamanho da amostra e o poder estatístico: pontos básicos. In: Hulley SB, Cummings SR, Browner WS, Grady DG, Newman TB. Delineando a pesquisa clínica: uma abordagem epidemiológica. Porto Alegre: Artmed; 2001. p.83-110.,1515. Hulley SB, Cummings SR, Browner WS, Grady DG, Newman TB. Designing clinical research. Baltimore: Williams & Wilkins; 1988. Thus, the estimated n sample comprised 383 participants.

The sample design was probabilistic and clustered in three stages:

  1. schools - randomly and proportionally selected in each of the seven administrative districts of the city, totaling 36 schools;

  2. classes - all classes by grade that met the age group of interest were included;

  3. students - randomly and proportionally selected in each grade, totaling 708 students.

We considered this number due to possible losses caused by absences on the day of data collection or parents who refused to let their children participate. Weighting factors were not used in the sample design since the purpose of the study was not to extrapolate the findings to the population of children and adolescents attending public schools in the city.

The first step was to collect anthropometric measurements of weight and height of the students, which happened in a private room in the schools. Trained researchers conducted these measurements, using a calibrated digital scale (weight in kg) and a portable stadiometer (height in m). The cut-off point for overweight was z score>+1 standard deviation of body mass index (BMI) for age, according to the growth curves of the World Health Organization (WHO).1616. 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.

In addition, a questionnaire prepared by the research team of the present study was used to collect socioeconomic and demographic data (available with the authors). The participants answered questions about age, gender (male or female), ethnicity/skin color (white, multiracial, or black), years of schooling of the parent or guardian (less or more than 11 years of study), and household monthly income (collected in Brazilian reals and categorized into quartiles of distribution). The multiracial category included children and adolescents who reported having light to dark brown skin color. The category of more than or equal to 11 years of study included parents or guardians with the following levels of education: complete high school, complete and incomplete higher education; for the category of less than 11 years of study, the levels were: illiterate, complete and incomplete elementary school, complete and incomplete middle school, and incomplete high school.

To collect information on the perceived food environment of the residential neighborhood of children and adolescents, a subsample of 408 children and adolescents (58% of the initial sample) and their parents or guardians agreed to participate (Figure 1). The information was collected via telephone call, in which parents and/or guardians of the participants answered an adapted selection of the validated Portuguese version of the Neighborhood Environment Walkability Scale (NEWS),1717. Malavasi LM. Escala de mobilidade ativa em ambiente comunitário (NEWS - versão brasileira): validade e fidedignidade [master's thesis]. Florianópolis (SC): Universidade Federal de Santa Catarina; 2006. an instrument that evaluates perceived environmental characteristics. The full scale has questions about the perception of access to services, the existence of sidewalks and bikeways, traffic safety, and security against crimes among others, represented by two categories of answer - “yes” and “no” or “agree” and “disagree.” It also includes questions on the perception of walking time to different types of establishments in the neighborhood of residence.

Figure 1
Flowchart of the sample composition.

The questions selected from the scale for this study were related to the proximity to food retailers and leisure areas/spaces for physical activity. More specifically, those associated with mini-market, supermarket, street/produce market, park, recreation area/community center, and gym; and the walking time (or proximity) from the family’s residence to these sites (up to 10 minutes, 11 to 20 minutes, more than 20 minutes, and does not have). The category “does not have” refers to the lack of perception of food retailers or leisure areas/spaces for physical activity in the neighborhood. Recreation area was defined as a public area, without buildings, intended for active games.1818. Cosgrove I; Jackson R. The geography of recreation and leisure. Abingdon-on-Thames: Routledge; 2015. For the walking time/proximity to food retailers variable, we assumed that, on average, an adult tends to walk 400 m in 5 minutes, that is, almost 500 m, and adolescents, at a moderate pace, are able to walk more than 1,500 m in 15 minutes.22. Motter AF, Vasconcelos FA, Correa EN, Andrade DF. Retail food outlets and the association with overweight/obesity in schoolchildren from Florianópolis, Santa Catarina State, Brazil. Cad Saúde Pública. 2015;31:620-32.

The indicator of social deprivation used was the Health Vulnerability Index (HVI).1919. Belo Horizonte - Prefeitura de Belo Horizonte. Índice de vulnerabilidade da saúde 2012. Belo Horizonte (MG): Prefeitura de Belo Horizonte; 2013. To construct it, we used information from the 2010 Census.2020. Brasil - Ministério do Planejamento, Orçamento e Gestão. Instituto Brasileiro de Geografia e Estatística - IBGE [homepage on the Internet]. Censo 2010[cited 2016 Mar 02]. Rio de Janeiro: IBGE; 2010. Available from: http://www.censo2010.ibge.gov.br/
http://www.censo2010.ibge.gov.br/...
This indicator was dichotomized into low vulnerability (low or medium risk) and high vulnerability (high or very high risk). The synthetic index takes into account sanitation and socioeconomic aspects (such as water supply, sanitary sewer, waste destination, residents per household, illiteracy, income, and ethnicity/skin color) in its construction in order to analyze the characteristics of population groups in certain geographical areas and reveal the inequalities in the epidemiological profile of different social groups.1919. Belo Horizonte - Prefeitura de Belo Horizonte. Índice de vulnerabilidade da saúde 2012. Belo Horizonte (MG): Prefeitura de Belo Horizonte; 2013.

The statistical analysis included the calculation of relative and absolute frequency distribution. To test the association between sociodemographic characteristics and overweight among children and adolescents, we used the chi-square test. Simple multinomial logistic regression models were constructed to predict the perceived proximity to food retailers, leisure areas, and spaces for physical activity. All models used the HVI classification of the residence as an explanatory variable. Odds ratio (OR) with a confidence interval of 95% (95%CI) was used as an effect measure. To evaluate perceived environmental factors associated with overweight, we used simple and multiple binary logistic regressions, with overweight as outcome, and aspects of the perceived environment (perceived proximity to food retailers, leisure areas, and spaces for physical activity) as explanatory variables. These models were adjusted for gender and age of children or adolescents, schooling of parents or guardians, monthly household income, and HVI. We used the Hosmer-Lemeshow test to verify the adjustment of the multiple model. OR with 95%CI was used as an effect measure. All analyses adopted a significance level of 5% (p<0.05).

The Committee for Ethics in Research of Universidade Federal de Juiz de Fora (CEP/UFJF) approved this project, according to the terms defined in Resolution No. 466/12 of the National Health Council, Report No. 522,694.

RESULTS

408 children and adolescents aged 6 to 15 years participated in the study. Out of them, 53.4% (n=218) were female, and 74.85% (n=305) were adolescents. The overweight prevalence was 34.3% (n=140). Most participants declared being multiracial (68.4%; n=264) and lived in less vulnerable areas according to their HVI (59.8%; n=244). Regarding parents or guardians, 51.6% (n=160) of them reported having 11 or more years of study, and monthly household income ranged from R$ 400.00 to R$ 8,500.00.

Table 1 presents the socioeconomic and demographic characteristics of children and adolescents stratified by overweight presence. There were no statistically significant differences.

Table 1
Descriptive statistics of socioeconomic and demographic characteristics of children and adolescents according to overweight presence. Juiz de Fora, Minas Gerais, 2011-2014.

Regarding food retailers, compared to residents of less vulnerable neighborhoods, those who live in areas with higher social vulnerability showed a probability of perceived proximity 55 and 60% lower to supermarkets up to 10 minutes away (OR 0.45; 95%CI 0.25-0.80) and 11 to 20 minutes away (OR 0.40; 95%CI 0.22-0.75), respectively; and 50 and 51% lower to street/produce markets up to 10 minutes away (OR 0.50; 95%CI 0.27-0.90) and 11 to 20 minutes away (OR 0.51; 95%CI 0.26-0.97), respectively (Table 2). With respect to leisure areas/spaces for physical activity, regions of higher vulnerability had 66% less chance of perceived proximity to parks 11 to 20 minutes away (OR 0.34; 95%CI 0.12-0.94), and 50% for recreation areas/community centers up to 10 minutes away (OR 0.50; 95%CI 0.29-0.85). Still on residents of more vulnerable areas, the probability of perceived proximity to gyms was 68, 71, and 66% lower for distances up to 10 minutes (OR 0.32; 95%CI 0.19-0.52), 11 to 20 minutes (OR 0.29; 95%CI 0.16-0.52), and more than 20 minutes (OR 0.34; 95%CI 0.17-0.68), respectively (Table 2).

Table 2
Simple multinomial logistic regression analyses to predict the perceived proximity to different food retailers and leisure areas/spaces for physical activity based on the Health Vulnerability Index of the residence. Juiz de Fora, Minas Gerais, 2011-2014.

Table 3 describes simple and multiple binary logistic regression analyses to predict overweight among the children and adolescents evaluated. The simple analysis, when adjusted for potential confounding factors, showed that parents’ or guardians’ perceived proximity to parks (up to 10 minutes) reduced in 73% the chances of overweight in children and adolescents (OR 0.27; 95%CI 0.07-0.95). This association remained significant even after adjustment for other independent variables (OR 0.21; 95%CI 0.06-0.81). The other variables were not associated with overweight.

Table 3
Simple and multiple logistic regression analyses to predict overweight among children and adolescents. Juiz de Fora, Minas Gerais, 2011-2014.

DISCUSSION

The results showed that the perceived proximity to food retailers and leisure areas/spaces for physical activity varied according to neighborhood social deprivation, with residents of less vulnerable areas having the perception of being closer to supermarkets, street/produce markets, parks, recreation areas/community centers, and gyms. Moreover, they suggest that the reported proximity to parks acted as a protective factor for overweight in children and adolescents.

This study did not evaluate the aspects of the built environment directly, but through the subjective perception of individuals, which tends to be closer to the actual characteristics of the physical environment2121. Troped PJ, Saunders RP, Pate RR, Reininger B, Ureda JR, Thompson SJ. Associations between self-reported and objective physical environmental factors and use of a community rail-trail. Prev Med. 2001;32:191-200. and are important, as people take into account their perception of the environment where they live when making decisions.55. Barnett E, Casper M. A definition of "social environment". Am J Public Health. 2001;91:465. In the group of children and adolescents, family members are determinant to food choices and lifestyle. Also, according to the literature, parents’ or guardians’ negative perception of food environment characteristics was associated with lower availability of fruits at home2222. Ansem WJ, Schrijvers CT, Rodenburg G, Mheen D. Is there an association between the home food environment, the local food shopping environment and children's fruit and vegetable intake? Results from the Dutch INPACT study. Public Health Nutr. 2013;16:1206-14.,2323. Tappe KA, Glanz K, Sallis JF, Zhou C, Saelens BE. Children's physical activity and parents'perception of the neighborhood environment: neighborhood impact on kids study. Int J Behav Nutr Phys Act. 2013;10:39., and their perceived proximity to leisure areas and spaces for physical activity was positively correlated to their children’s recreation and physical activity time (reported by them).2323. Tappe KA, Glanz K, Sallis JF, Zhou C, Saelens BE. Children's physical activity and parents'perception of the neighborhood environment: neighborhood impact on kids study. Int J Behav Nutr Phys Act. 2013;10:39.

The present study revealed variation in reported walking time, according to the level of neighborhood social deprivation. This scenario can be explained by the better infrastructure of trades and services, such as food retailers, which tend to be present in more affluent areas,2424. Pessoa MC, Mendes LL, Caiaffa WT, Malta DC, Velásquez-Meléndez G. Availability of food stores and consumption of fruit, legumes and vegetables in a Brazilian urban area. Nutr Hosp. 2014;31:1438-43. in addition to the establishment of parks and public places for the practice of physical activity and better transport system.1111. Jaime PC, Duran AC, Sarti FM. Lock K. Investigating environmental determinants of diet, physical activity, and overweight among adults in Sao Paulo, Brazil. J Urban Health. 2011;88:567-81. These factors can affect the lifestyle and eating habits of families, as the presence of parks, sports facilities, and healthy food retailers near the residence might encourage the practice of physical activity and appropriate food consumption, with direct implications on health.11. Townshend T, Lake A. Obesogenic environments: current evidence of the built and food environments. Perspect Public Health. 2017;137:38-44.

On the other hand, areas with higher socioeconomic vulnerability had a lower probability of perceived proximity to all types of food retailers. This shortage of services could be due to the insecurity caused by higher crime rates, the precarious urban infrastructure, and the low socioeconomic level of the inhabitants of these areas, which limits their purchasing power2525. Walker JL, Holben DH, Kropf ML, Holcomb JP Jr, Anderson H. Household food insecurity is inversely associated with social capital and health in females from special supplemental nutrition program for women, infants, and children households in Appalachian Ohio. J Am Diet Assoc. 2007;107:1989-93. and, in turn, makes these regions less attractive to entrepreneurs, discouraging the establishment of stores in these surroundings.77. Maguire ER, Burgoine T, Monsivais P. Area deprivation and the food environment over time: A repeated cross-sectional study on takeaway outlet density and supermarket presence in Norfolk, UK, 1990-2008. Health Place. 2015;33:142-7. Such social disadvantages contribute to create obesogenic environments that put children and adolescents at greater risk of gaining weight.11. Townshend T, Lake A. Obesogenic environments: current evidence of the built and food environments. Perspect Public Health. 2017;137:38-44.

Regarding the association between parents’ or guardians’ perceived proximity to parks and a lower chance of overweight among children and adolescents, recent studies have investigated the influence of perceived environment on nutritional status.2323. Tappe KA, Glanz K, Sallis JF, Zhou C, Saelens BE. Children's physical activity and parents'perception of the neighborhood environment: neighborhood impact on kids study. Int J Behav Nutr Phys Act. 2013;10:39.,2626. Nascimento MA, Zucolotto DC, Sartorelli DS. The association between self-rated living environment and excess weight in a small Brazilian town. Cad Saúde Pública. 2015;31:173-82. In Itirapuã, a small city in São Paulo, living further from public squares or outdoor areas where it is possible to practice physical activities increased the chance of overweight in adults (OR 2.05; 95%CI 1.15-3.66).2626. Nascimento MA, Zucolotto DC, Sartorelli DS. The association between self-rated living environment and excess weight in a small Brazilian town. Cad Saúde Pública. 2015;31:173-82.

A North American study conducted with children and adolescents aged 10 to 17 years found that those who lived in unfavorable social conditions, such as unsafe environment, poor houses, and without access to sidewalks, parks, and recreation centers, had 20 to 60% more chance of being obese or overweight.44. Singh GK, Siahpush M, Kogan MD. Neighborhood socioeconomic conditions, built environments, and childhood obesity. Health Aff (Millwood). 2010;29:503-12.

In cities, parks are public spaces intended not only for walking, commuting, practicing physical activity, and recreation but also as a place suited for social interaction, especially for the part of the population without access to private environments for physical activity, such as clubs and gyms.2727. Silva MC, Silva AB, Amorim TE. Public area conditions and physical activity practice in the city of Pelotas/RS/Brazil. Rev Bras Ativ Fis Saúde. 2012;17:28-32. Thus, measures such as proper maintenance, safety, and easy access can encourage their use. For instance, parents could allow their children to play outside, reducing the time spent on computer activities or watching television, reinforcing an active lifestyle.2727. Silva MC, Silva AB, Amorim TE. Public area conditions and physical activity practice in the city of Pelotas/RS/Brazil. Rev Bras Ativ Fis Saúde. 2012;17:28-32.,2828. Pirgon Ö, Aslan N. The role of urbanization in childhood obesity. J Clin Res Pediatr Endocrinol. 2015;7:163-67.

Some limitations of the present study are: first, the cross-sectional design, which reveals associations without evaluating causalities. Also, the study did not assess the practice of physical activity and food consumption, factors directly related to nutritional status. Only public-school students were evaluated, so the findings should not be extrapolated to all children and adolescents in the city. Nonetheless, considering that many of the public policies outlined also influence this group, it is crucial to study this population. The questionnaire with information about the proximity to food retailers, leisure areas, and spaces for physical activity was answered via telephone call, based on parents’ or guardians’ reports of their perceived environment, rather than direct observation. However, other similar studies conducted via telephone interview2929. Tabak R, Hipp JA, Dodson EA, Yang L, Adlakha D, Brownson RC. Exploring associations between perceived home and work neighborhood environments, diet behaviors, and obesity: Results from a survey of employed adults in Missouri. Prev Med Rep. 2016;26:591-6. confirmed the validity and reproducibility of the NEWS questionnaire,1717. Malavasi LM. Escala de mobilidade ativa em ambiente comunitário (NEWS - versão brasileira): validade e fidedignidade [master's thesis]. Florianópolis (SC): Universidade Federal de Santa Catarina; 2006. and identified the existence of associations between perceived and reported environmental characteristics and those measured in a direct way.2121. Troped PJ, Saunders RP, Pate RR, Reininger B, Ureda JR, Thompson SJ. Associations between self-reported and objective physical environmental factors and use of a community rail-trail. Prev Med. 2001;32:191-200. It is also important to clarify that the study did not assess which food retailers families used the most, only their residential proximity.

In view of the above, it is relevant to investigate perceived environmental aspects, given their importance in the decision-making process, and consider the social and infrastructure elements related to healthy eating habits, leisure, and the practice of physical activities in urban planning to make the creation of environments that promote health possible.

REFERÊNCIAS

  • 1
    Townshend T, Lake A. Obesogenic environments: current evidence of the built and food environments. Perspect Public Health. 2017;137:38-44.
  • 2
    Motter AF, Vasconcelos FA, Correa EN, Andrade DF. Retail food outlets and the association with overweight/obesity in schoolchildren from Florianópolis, Santa Catarina State, Brazil. Cad Saúde Pública. 2015;31:620-32.
  • 3
    Engler-Stringer R, Shah T, Bell S, Muhajarine N. Geographic access to healthy and unhealthy food sources for children in neighbourhoods and from elementary schools in a mid-sized Canadian city. Spat Spatiotemporal Epidemiol. 2014;11:23-32.
  • 4
    Singh GK, Siahpush M, Kogan MD. Neighborhood socioeconomic conditions, built environments, and childhood obesity. Health Aff (Millwood). 2010;29:503-12.
  • 5
    Barnett E, Casper M. A definition of "social environment". Am J Public Health. 2001;91:465.
  • 6
    Fu M, Exeter DJ, Anderson A. The politics of relative deprivation: a transdisciplinary social justice perspective. Soc Sci Med. 2015;133:223-32.
  • 7
    Maguire ER, Burgoine T, Monsivais P. Area deprivation and the food environment over time: A repeated cross-sectional study on takeaway outlet density and supermarket presence in Norfolk, UK, 1990-2008. Health Place. 2015;33:142-7.
  • 8
    Jennings A, Welch A, Jones AP, Harrison F, Bentham G, Sluijs EM, et al. Local food outlets, weight status, and dietary intake: associations in children aged 9-10 years. Am J Prev Med. 2011;40:405-10.
  • 9
    Carroll-Scott A, Gilstad-Hayden K, Rosenthal L, Peters SM, McCaslin C, Joyce R, et al. Disentangling neighborhood contextual associations with child body mass index, diet, and physical activity: the role of built, socioeconomic, and social environments. Soc Sci Med. 2013;95:106-14.
  • 10
    Hutchinson Pl, Bodor JN, Swalm CM, Rice JC, Rose D. Neighborhood food environments and obesity in southeast Louisiana. Health Place. 2012;18:854-60.
  • 11
    Jaime PC, Duran AC, Sarti FM. Lock K. Investigating environmental determinants of diet, physical activity, and overweight among adults in Sao Paulo, Brazil. J Urban Health. 2011;88:567-81.
  • 12
    Leite MA, Assis MM, Silva BP, Matozinhos FP, Padez C, Cândido AP, et al. Perceptions of neighborhood environments and their association with overweight in children, adolescents, and caretakers in a medium-sized city in Brazil. Nutrire. 2017;42:8.
  • 13
    Brasil - Ministério da Educação. Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira/INEP.Censo Escolar 2009. Brasília: Ministério da Educação; 2009.
  • 14
    Browner WS, Cummings SR, Hulley SB. Estimando o tamanho da amostra e o poder estatístico: pontos básicos. In: Hulley SB, Cummings SR, Browner WS, Grady DG, Newman TB. Delineando a pesquisa clínica: uma abordagem epidemiológica. Porto Alegre: Artmed; 2001. p.83-110.
  • 15
    Hulley SB, Cummings SR, Browner WS, Grady DG, Newman TB. Designing clinical research. Baltimore: Williams & Wilkins; 1988.
  • 16
    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.
  • 17
    Malavasi LM. Escala de mobilidade ativa em ambiente comunitário (NEWS - versão brasileira): validade e fidedignidade [master's thesis]. Florianópolis (SC): Universidade Federal de Santa Catarina; 2006.
  • 18
    Cosgrove I; Jackson R. The geography of recreation and leisure. Abingdon-on-Thames: Routledge; 2015.
  • 19
    Belo Horizonte - Prefeitura de Belo Horizonte. Índice de vulnerabilidade da saúde 2012. Belo Horizonte (MG): Prefeitura de Belo Horizonte; 2013.
  • 20
    Brasil - Ministério do Planejamento, Orçamento e Gestão. Instituto Brasileiro de Geografia e Estatística - IBGE [homepage on the Internet]. Censo 2010[cited 2016 Mar 02]. Rio de Janeiro: IBGE; 2010. Available from: http://www.censo2010.ibge.gov.br/
    » http://www.censo2010.ibge.gov.br/
  • 21
    Troped PJ, Saunders RP, Pate RR, Reininger B, Ureda JR, Thompson SJ. Associations between self-reported and objective physical environmental factors and use of a community rail-trail. Prev Med. 2001;32:191-200.
  • 22
    Ansem WJ, Schrijvers CT, Rodenburg G, Mheen D. Is there an association between the home food environment, the local food shopping environment and children's fruit and vegetable intake? Results from the Dutch INPACT study. Public Health Nutr. 2013;16:1206-14.
  • 23
    Tappe KA, Glanz K, Sallis JF, Zhou C, Saelens BE. Children's physical activity and parents'perception of the neighborhood environment: neighborhood impact on kids study. Int J Behav Nutr Phys Act. 2013;10:39.
  • 24
    Pessoa MC, Mendes LL, Caiaffa WT, Malta DC, Velásquez-Meléndez G. Availability of food stores and consumption of fruit, legumes and vegetables in a Brazilian urban area. Nutr Hosp. 2014;31:1438-43.
  • 25
    Walker JL, Holben DH, Kropf ML, Holcomb JP Jr, Anderson H. Household food insecurity is inversely associated with social capital and health in females from special supplemental nutrition program for women, infants, and children households in Appalachian Ohio. J Am Diet Assoc. 2007;107:1989-93.
  • 26
    Nascimento MA, Zucolotto DC, Sartorelli DS. The association between self-rated living environment and excess weight in a small Brazilian town. Cad Saúde Pública. 2015;31:173-82.
  • 27
    Silva MC, Silva AB, Amorim TE. Public area conditions and physical activity practice in the city of Pelotas/RS/Brazil. Rev Bras Ativ Fis Saúde. 2012;17:28-32.
  • 28
    Pirgon Ö, Aslan N. The role of urbanization in childhood obesity. J Clin Res Pediatr Endocrinol. 2015;7:163-67.
  • 29
    Tabak R, Hipp JA, Dodson EA, Yang L, Adlakha D, Brownson RC. Exploring associations between perceived home and work neighborhood environments, diet behaviors, and obesity: Results from a survey of employed adults in Missouri. Prev Med Rep. 2016;26:591-6.

Funding

  • National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico), Brazil, grant No. 484946/2013-7.

Publication Dates

  • Publication in this collection
    14 Nov 2018
  • Date of issue
    Oct-Dec 2018

History

  • Received
    02 June 2017
  • Accepted
    01 Oct 2017
  • Published
    31 Oct 2018
Sociedade de Pediatria de São Paulo R. Maria Figueiredo, 595 - 10o andar, 04002-003 São Paulo - SP - Brasil, Tel./Fax: (11 55) 3284-0308; 3289-9809; 3284-0051 - São Paulo - SP - Brazil
E-mail: rpp@spsp.org.br