Journal of urban health : bulletin of the New York Academy of Medicine
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Neighborhood conditions are associated with health outcomes, but whether individual health behaviors are independent of or associated with the settings are not clear. We analyzed the California Health Interview Survey (CHIS) (N = 11,152) data to determine if the perceptions and behaviors of similar individuals with an income low enough to be eligible for SNAP-Ed services differed based on whether they lived in high- or low-income neighborhoods. We found that SNAP-Ed eligible individuals living in low-income neighborhoods walked for transportation more frequently (3.04 times versus 2.38 times, p = 0.001), drank sugary beverages more frequently in the past month (2.93 times versus 1.69 times, p = 0.000), and had a higher risk of obesity than similar low-income individuals living in high-income neighborhoods (0.34 versus 0.26, p = 0.012).
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Virtual audits using Google Street View are an increasingly popular method of assessing neighborhood environments for health and urban planning research. However, the validity of these studies may be threatened by issues of image availability, image age, and variance of image age, particularly in the Global South. This study identifies patterns of Street View image availability, image age, and image age variance across cities in Latin America and assesses relationships between these measures and measures of resident socioeconomic conditions. ⋯ Subcity units with higher scores on measures of socioeconomic conditions had higher rates of image availability (OR = 1.11 per point increase of combined index, p < 0.001) and the imagery was newer on average (- 1.15 months per point increase of combined index, p < 0.001), but image capture date within these areas varied more (0.59-month increase in standard deviation of image age per point increase of combined index, p < 0.001). All three assessed threats to the validity of Street View virtual audit studies spatially covary with measures of socioeconomic conditions in Latin American cities. Researchers should be attentive to these issues when using Street View imagery.
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We assessed the added value and limitations of generating directly estimated ZIP Code-level estimates by aggregating 5 years of data from an annual cross-sectional survey, the New York City Community Health Survey (n = 44,886) from 2009 to 2013, that were designed to provide reliable estimates only of larger geographies. Survey weights generated directly-observed ZIP Code (n = 128) level estimates. We assessed the heterogeneity of ZIP Code-level estimates within coarser United Hospital Fund (UHF) neighborhood areas (n = 34) by using the Rao-Scott Chi-Square test and one-way ANOVA. ⋯ In half of the 32 UHFs, >20% variables had within-UHF heterogeneity. Flu vaccination and sugary beverage consumption showed significant time trends in the largest number of UHFs (12 or more UHFs). Overall, heterogeneity of ZIP Code-level estimates suggests that there is value in aggregating 5 years of data to make direct small area estimates.
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Housing quality is crucially linked to health and sustainability goals, yet there is limited research on informal housing and settlements where housing quality is poor, and the health risks are expected to be greatest. This paper describes the investigation of housing conditions in a low-income resettlement colony in Delhi. A novel transdisciplinary methodology to evaluate multiple housing health hazards and establish intervention priorities in participation with the community was developed. ⋯ Our findings uncovered how poor housing conditions affect daily practices and thus are likely to adversely affect socio-economic development and gender equality. We highlight limitations in current frameworks to assess housing hazards and argue that a transdisciplinary approach is vital to provide a holistic understanding and to develop effective interventions. These insights are crucial to inform inclusive solutions for adequate housing and human settlements that can support improved health and help achieve the sustainable development goals.
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This commentary argues that the coronavirus SARS-CoV-2 pandemic should be considered as a transdisciplinary societal challenge that requires coordinated systemic thinking and actions in the context of uncertainty. Responses to the propagation of the coronavirus SARS-CoV-2 and the health, economic and social impacts of Covid-19 are complex, emergent and unpredictable. We describe the virtuous relations between three prerequisite conditions-multilevel governance, knowledge and types of resources and individual and collective behaviours-that should be combined in transdisciplinary responses.