Minority communities such as those on the US-Mexico border are placed at disproportionate high risk for child and adult obesity, diabetes and cardiovascular diseases. A built environment characterized by an arid desert climate, lack of access to healthy foods, barriers to increasing physical activity, cultural and community norms which deter healthy eating and sustainable food production, shape obesity-related health disparities in these communities. Three pilot community gardens (implemented by two local governmental organizations and one community-based organization) were funded through the local Healthy Eating Active Living (HEAL) initiative in El Paso, Texas, and Las Cruces and Anthony, New Mexico (US-MX border communities with high obesity rates) in order to encourage healthy lifestyles among families in the region. A mixed-methods evaluation (n = 223) examined the implementation process, immediate outcomes and best practices of implementing and sustaining community gardens in these minority binational communities. In addition to nutrition-related outcomes, the potential for psychosocial outcomes from participating in community and school garden projects were observed. The best practices in relation to (i) assessing community norms related to growing food, (ii) increasing access to land and water for community/school gardening and (iii) enhancing social support for gardening are discussed. The implications of these best practices for obesity prevention and implementing community gardens in a minority US-MX border community characterized by cultural, geographical and socioeconomic barriers are examined.

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The COVID-19 pandemic is a critical public health concern that has disproportionately affected the Black community in the United States. The purpose of this study was to examine the risk and protective factors faced by residents in the City of Miami Gardens during the COVID-19 pandemic, with emphases placed on racial health disparities and Black heterogeneity. Using convenience and snowball sampling, quantitative and qualitative data for this study were collected via an anonymous online questionnaire using QuestionPro. Survey links were distributed by e-mail invitations with assistance from city officials to the residents of this predominantly Black city in Florida ( n = 83). Descriptive statistics and relevant qualitative responses are presented. Furthermore, a machine learning (ML) approach was used to select the most critical variables that characterized the two racial groups (Black versus non-Black participants) based on four ML feature selectors. Study findings offered important and interesting insights. Specifically, despite the greater prevalence of adopting measures to protect themselves and others from COVID-19, Black participants were more susceptible to activities that increased their COVID-19 risk levels. In addition, their rate of infection, particularly among the Afro-Caribbean ethnic group, was reported to be higher, indicating the need to further investigate the underlying conditions and root causes (including vaccine hesitancy and refusal) that contribute to their greater health disparities.

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