Does Neighborhood Deprivation Cause Obesity?

authors:

avatar Ameneh Marzban ORCID 1 , * , avatar Mostafa Madareszadeh 1 , avatar Payam Emami 2

Department of Health in Disasters and Emergencies, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
Department of Emergency Medical Sciences, School of Paramedical Sciences, Kurdistan University of Medical Sciences, Sanandaj, Iran

how to cite: Marzban A, Madareszadeh M, Emami P. Does Neighborhood Deprivation Cause Obesity?. Jundishapur J Health Sci. 2022;14(2):e122503. https://doi.org/10.5812/jjhs-122503.

Dear Editor,

Neighborhood characteristics can affect people's activity. For example, some neighborhood characteristics may cause people to spend more time at home and not perform outdoor activities. Therefore, this may lead to obesity by reducing physical activity and increasing sedentary life and food intake. Research shows that neighborhood characteristics are at least as important as individual characteristics in determining the likelihood of obesity. When the design of a neighborhood hinders physical activity, it causes obesity. In other words, environment structure influences behavior and health outcomes (1). Local parks and walkable neighborhoods are often considered elements of the urban environment that augment physical activity and diminish the risk of obesity. In the study by Stark et al. in New York, extending park space effectively reduced BMI, and neighborhoods with multiple clean parks could affect body mass index (BMI) (2).

Therefore, neighborhood deprivation can be considered a deterrent. Pearson et al. found in a study that higher neighborhood deprivation and lower access to green space were associated with a significant rise in the likelihood of overweight or obesity. Increased access to green space is accompanied by more walking, while the lack of access to green space may decrease the level of walking. Moreover, in this study, neighborhood deprivation was coupled with reduced walking (3). In France, a study found that living in a lower socioeconomic status (SES) was correlated with higher BMI and waist circumference. Conversely, people living in areas with high SES are more satisfied with the safety, public transportation, and access to sports facilities in their community, resulting in a lower risk of obesity. However, physical space alone is not enough, and the impact of environmental factors at the community level, especially the perception of the environment, is more important in obesity than the physical environment. A national study on women and children in the United States found that obesity was more prevalent among those who considered their neighborhood insecure (4).

In other words, people's perceptions of social dysfunction and the collective efficacy in the neighborhood may affect the amount of time spent outside the home. Social disturbance is a measure of neighborhood safety that explains threats to neighborhood conditions and abnormal behaviors, such as drug trafficking, criminal offense, and inebriation in public. These activities in a neighborhood may cause people to restrict outdoor activities, and they have to stay in their homes. Therefore, daily energy consumption will decline (5). The social conditions in which people live have a profound effect on their health. Factors such as poverty, poor nutrition, poor housing, unemployment, insecure income, low education, social discrimination, and living in deprived environments are the main determinants of health and health inequality. Medical care can indeed prolong the life or cure a severe illness, while what is essential for population health is the socioeconomic conditions that make people sick or in need of medical care (6).

Collective efficacy is a scale for people to understand connection and closeness with their neighbors (social continuity and confidence) and the neighbors' capacity to participate in activities to benefit the neighborhood to achieve common goals (informal social control). Consequently, low levels of perceived collective efficacy, such as the lack of safety in the neighborhood, may cause people to stay at home. If the neighborhoods are not safe or people do not have a connection with their neighbors, this can lead to increased psychological stress. For some people, if stress is persistent, it may result in functional disturbance through anxiety or depression. These feelings can exacerbate isolation and reduce energy consumption in daily life activities or free time, especially outdoor activities. Psychological problems, namely stress, depression, or anxiety, can increase appetite in some people (7).

Characteristics of chain stores, supermarkets, and fast food restaurants are also known as other environmental factors affecting obesity and overweight. In a study by Dubowitz et al., evidence showed that higher distribution and greater access to grocery stores/supermarkets in the neighborhood diminished BMI and, conversely, elevated the frequency of fast food restaurants (8). In a systematic review by Giskes, more access to supermarkets was associated with lower BMI. Another study on 60,775 women aged 59 - 70 years revealed that higher supermarket densities within half a mile of a person's home correlated with lower BMI (9). In another investigation on 10,763 people in four states, the presence of supermarkets near residential complexes was accompanied by a 24% and 9% decline in obesity and overweight, respectively. Living close to grocery stores or supermarkets is coupled with having a proper diet. In addition, it will reduce the risk of obesity and other risk factors for chronic diseases. On the other hand, fast food consumption leads to increased calorie intake, more fat intake, higher BMI, and weight gain (10).

The characteristics and location of grocery stores and supermarkets and their prices are also related to the BMI of customers (7). In his study, Pyko found that exposure to traffic noise could raise the risk of obesity and a significant association between traffic noise and waist circumference. He found that the adverse effects of this noise were greater if it came from variable sources (11). In a study conducted in a Scandinavian urban population, Oftedal found that traffic noise was correlated with obesity indicators in noise-sensitive women. However, in men, the connection was stronger in those whose bedrooms were facing the street (12). As observed, neighborhood characteristics can play a role in the prevalence of overweight and obesity and should be considered in formulating obesity prevention and control policies.

References

  • 1.

    Mohammed SH, Habtewold TD, Birhanu MM, Sissay TA, Tegegne BS, Abuzerr S, et al. Neighbourhood socioeconomic status and overweight/obesity: a systematic review and meta-analysis of epidemiological studies. BMJ Open. 2019;9(11). e028238. [PubMed ID: 31727643]. [PubMed Central ID: PMC6886990]. https://doi.org/10.1136/bmjopen-2018-028238.

  • 2.

    Stark JH, Neckerman K, Lovasi GS, Quinn J, Weiss CC, Bader MD, et al. The impact of neighborhood park access and quality on body mass index among adults in New York City. Prev Med. 2014;64:63-8. [PubMed ID: 24704504]. [PubMed Central ID: PMC4314092]. https://doi.org/10.1016/j.ypmed.2014.03.026.

  • 3.

    Pearson AL, Bentham G, Day P, Kingham S. Associations between neighbourhood environmental characteristics and obesity and related behaviours among adult New Zealanders. BMC Public Health. 2014;14:1-13. [PubMed ID: 24894572]. [PubMed Central ID: PMC4059100]. https://doi.org/10.1186/1471-2458-14-553.

  • 4.

    Leal C, Bean K, Thomas F, Chaix B. Are associations between neighborhood socioeconomic characteristics and body mass index or waist circumference based on model extrapolations? Epidemiology. 2011;22(5):694-703. [PubMed ID: 21709560]. https://doi.org/10.1097/EDE.0b013e3182257784.

  • 5.

    Burdette HL, Wadden TA, Whitaker RC. Neighborhood safety, collective efficacy, and obesity in women with young children. Obesity (Silver Spring). 2006;14(3):518-25. [PubMed ID: 16648624]. https://doi.org/10.1038/oby.2006.67.

  • 6.

    Muskat B, Craig SL, Mathai B. Complex families, the social determinants of health and psychosocial interventions: Deconstruction of a day in the life of hospital social workers. Soc Work Health Care. 2017;56(8):765-78. [PubMed ID: 28696836]. https://doi.org/10.1080/00981389.2017.1339761.

  • 7.

    Feuillet T, Valette JF, Charreire H, Kesse-Guyot E, Julia C, Vernez-Moudon A, et al. Influence of the urban context on the relationship between neighbourhood deprivation and obesity. Soc Sci Med. 2020;265:113537. [PubMed ID: 33250318]. https://doi.org/10.1016/j.socscimed.2020.113537.

  • 8.

    Dubowitz T, Ghosh-Dastidar M, Eibner C, Slaughter ME, Fernandes M, Whitsel EA, et al. The Women's Health Initiative: The food environment, neighborhood socioeconomic status, BMI, and blood pressure. Obesity (Silver Spring). 2012;20(4):862-71. [PubMed ID: 21660076]. [PubMed Central ID: PMC4018819]. https://doi.org/10.1038/oby.2011.141.

  • 9.

    Giskes K, van Lenthe F, Avendano-Pabon M, Brug J. A systematic review of environmental factors and obesogenic dietary intakes among adults: are we getting closer to understanding obesogenic environments? Obes Rev. 2011;12(5):e95-e106. [PubMed ID: 20604870]. https://doi.org/10.1111/j.1467-789X.2010.00769.x.

  • 10.

    Walker BB, Shashank A, Gasevic D, Schuurman N, Poirier P, Teo K, et al. The Local Food Environment and Obesity: Evidence from Three Cities. Obesity (Silver Spring). 2020;28(1):40-5. [PubMed ID: 31774254]. [PubMed Central ID: PMC6972660]. https://doi.org/10.1002/oby.22614.

  • 11.

    Pyko A, Eriksson C, Lind T, Mitkovskaya N, Wallas A, Ogren M, et al. Long-Term Exposure to Transportation Noise in Relation to Development of Obesity-a Cohort Study. Environ Health Perspect. 2017;125(11):117005. [PubMed ID: 29161230]. [PubMed Central ID: PMC5947937]. https://doi.org/10.1289/EHP1910.

  • 12.

    Oftedal B, Krog NH, Pyko A, Eriksson C, Graff-Iversen S, Haugen M, et al. Road traffic noise and markers of obesity - a population-based study. Environ Res. 2015;138:144-53. [PubMed ID: 25710788]. https://doi.org/10.1016/j.envres.2015.01.011.