Fast-Food Restaurants, Park Access, and Insulin Resistance Among Hispanic Youth

Hsieh, Stephanie; Klassen, Ann C.; Curriero, Frank C.; Caulfield, Laura E.; Davis, Jaimie N.; Goran, Michael I.; Weigensberg, Marc J.; Spruijt‐Metz, Donna

doi:10.1016/j.amepre.2013.12.007

Cited by 32 publications

(30 citation statements)

References 61 publications

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“…It is worth noting that several studies have successfully made the link between neighborhood socioeconomic factors like unemployment (Muller et al, 2013), economic disadvantage (Krishnan et al, 2010; Freedman et al, 2011), and racial segregation (Laveist et al, 2011; Jones et al, 2013; LaVeist et al, 2009) and T2DM. Astell-Burt found that individuals residing in neighborhoods with greater green space had lower odds of having T2DM (Astell-Burt et al, 2013c) and lower insulin resistance (Hsieh et al, 2014). Therefore, the mixed results to date may largely result from the specific contextual factors measured and from the specific locales and populations examined.…”

Section: Discussionmentioning

confidence: 99%

The role of neighborhood characteristics in racial/ethnic disparities in type 2 diabetes: Results from the Boston Area Community Health (BACH) Survey

Piccolo

Duncan

Pearce

et al. 2015

Social Science & Medicine

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Racial/ethnic disparities in the prevalence of type 2 diabetes mellitus (T2DM) are well documented and until recently, research has focused almost exclusively on individual-based determinants as potential contributors to these disparities (health behaviors, biological/genetic factors, and individual-level sociodemographics). Research on the role of neighborhood characteristics in relation to racial/ethnic disparities in T2DM is very limited. Therefore, the aim of this research is to identify and estimate the contribution of specific aspects of neighborhoods that may be associated with racial/ethnic disparities in T2DM. Data from the Boston Area Community Health III Survey (N = 2,764) was used in this study, which is a community-based random-sample survey of adults in Boston, Massachusetts from three racial/ethnic groups (Black, Hispanic, and White). We applied two-level random intercepts logistic regression to assess the associations between race/ethnicity, neighborhood characteristics (census tract socioeconomic status, racial composition, property and violent crime, open space, geographic proximity to grocery stores, convenience stores, and fast food, and neighborhood disorder) and prevalent T2DM (fasting glucose > 125 mg/dL, HbA1c ≥ 6.5%, or self-report of a T2DM diagnosis). Black and Hispanic participants had 2.89 times and 1.48 times the odds of T2DM as White participants, respectively. Multilevel models indicated a significant between-neighborhood variance estimate of 0.943, providing evidence of neighborhood variation. Individual demographics (race/ethnicity, age and gender) explained 22.3% of the neighborhood variability in T2DM. The addition of neighborhood-level variables to the model had very little effect on the magnitude of the racial/ethnic disparities and on the between-neighborhood variability. For example, census tract poverty explained less than 1% and 6% of the excess odds of T2DM among Blacks and Hispanics and only 1.8% of the neighborhood variance in T2DM. While the findings of this study overall suggest that neighborhood factors are not a major contributor to racial/ethnic disparities in T2DM, further research is needed including data from other geographic locations.

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Section: Discussionmentioning

confidence: 99%

The role of neighborhood characteristics in racial/ethnic disparities in type 2 diabetes: Results from the Boston Area Community Health (BACH) Survey

Piccolo

Duncan

Pearce

et al. 2015

Social Science & Medicine

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“…This global increase may be partly attributed to changes in dietary habits and nutritional transitions from traditional to Western-style fast food intake (high-energy and low nutrient density) which is steadily increasing and is a major factor in the development of metabolic disorders [4,5,6]. Although the undesirable effects of fast food consumption on obesity, insulin resistance and diabetes have been extensively studied [4,7,8,9], epidemiologic studies regarding the effects of fast food consumption in relation to GDM are scarce [10,11,12,13] and are mostly from Western populations that may not be generalizable to other populations because of cultural and social differences [14]. …”

Section: Introductionmentioning

confidence: 99%

Pre-Pregnancy Fast Food Consumption Is Associated with Gestational Diabetes Mellitus among Tehranian Women

et al. 2017

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The aim of this study was to evaluate the association between fast food consumption and gestational diabetes mellitus (GDM) among Tehranian women. This study was conducted over a 17-month period, on a random sample of pregnant women (n = 1026), aged 18–45 years, attending prenatal clinics in five hospitals affiliated with universities of medical sciences, located in different districts of Tehran, Iran. Dietary data were collected during gestational age ≤6 weeks, using a 168-item valid and reliable food frequency questionnaire. Consumption of total fast foods including hamburgers, sausages, bologna (beef), pizza and French fries was calculated. Between 24 and 28 weeks of gestation, all pregnant women underwent a scheduled 100 g 3 h oral glucose tolerance test. GDM was defined according to the American Diabetes Association definition. The mean age and pre-pregnancy body mass index BMI of participants were 26.7 ± 4.3 years and 25.4 ± 4.5 Kg/m2, respectively. A total of 71 women developed GDM. After adjustment for confounders, the OR (95% CI) for GDM for total fast food consumption was 2.12 (1.12–5.43) and for French fries it was 2.18 (1.05–4.70). No significant association was found between hamburgers, sausages, bologna (beef), pizza and GDM. Fast food consumption in women of reproductive age was found to have undesirable effects in the prevalence of GDM.

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“…While green space and local biodiversity are associated with health and vitality [96][97][98] (and biodiversity losses/environmental degradation with ill-health [99][100][101]), these links require complex considerations. For example, closer residential proximity to green spaces and greater access to open spaces and safe, local parks, is associated with healthier dietary habits; however, this could be explained by experience through opportunity-more green spaces and parks may simply be a surrogate marker for lower density of fast-food outlets, convenience stores and an unhealthy food environment in general [102][103][104]. At this stage it is unknown if those scoring high on nature relatedness scales avoid ultra-processed foods, consume more fermented foods and/or maintain healthier dietary habits in general; however, a greater understanding of the emotional/cognitive drivers of a sustainable planetary health diet (a plant-based diet with minimal emphasis on animal products [105,106]) will require a closer look at nature relatedness.…”

Section: Building Nature Relatednessmentioning

confidence: 99%

Spaceship Earth Revisited: The Co-Benefits of Overcoming Biological Extinction of Experience at the Level of Person, Place and Planet

Prescott

Bland²

2020

IJERPH

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Extensive research underscores that we interpret the world through metaphors; moreover, common metaphors are a useful means to enhance the pursuit of personal and collective goals. In the context of planetary health—defined as the interdependent vitality of all natural and anthropogenic ecosystems (social, political and otherwise)—one enduring metaphor can be found in the concept of “Spaceship Earth”. Although not without criticism, the term “Spaceship Earth” has been useful to highlight both resource limitations and the beauty and fragility of delicate ecosystems that sustain life. Rene Dubos, who helped popularize the term, underscored the need for an exposome perspective, one that examines the total accumulated environmental exposures (both detrimental and beneficial) that predict the biological responses of the “total organism to the total environment” over time. In other words, how large-scale environmental changes affect us all personally, albeit in individualized ways. This commentary focuses the ways in which microbes, as an essential part of all ecosystems, provide a vital link between personal and planetary systems, and mediate the biopsychosocial aspects of our individualized experience—and thus health—over our life course journey. A more fine-grained understanding of these dynamics and our power to change them, personally and collectively, lies at the core of restoring “ecosystems balance” for person, place and planet. In particular, restoring human connectedness to the natural world, sense of community and shared purpose must occur in tandem with technological solutions, and will enhance individual empowerment for personal well-being, as well as our collective potential to overcome our grand challenges. Such knowledge can help shape the use of metaphor and re-imagine solutions and novel ways for restoration or rewilding of ecosystems, and the values, behaviors and attitudes to light the path toward exiting the Anthropocene.

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Fast-Food Restaurants, Park Access, and Insulin Resistance Among Hispanic Youth

Cited by 32 publications

References 61 publications

The role of neighborhood characteristics in racial/ethnic disparities in type 2 diabetes: Results from the Boston Area Community Health (BACH) Survey

The role of neighborhood characteristics in racial/ethnic disparities in type 2 diabetes: Results from the Boston Area Community Health (BACH) Survey

Pre-Pregnancy Fast Food Consumption Is Associated with Gestational Diabetes Mellitus among Tehranian Women

Spaceship Earth Revisited: The Co-Benefits of Overcoming Biological Extinction of Experience at the Level of Person, Place and Planet

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