Journal of urban health : bulletin of the New York Academy of Medicine
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The multi-sectoral nature of urban health is a particular challenge, which urban family planning in sub-Saharan Africa illustrates well. Rapid urbanisation, mainly due to natural population increase in cities rather than rural-urban migration, coincides with a large unmet urban need for contraception, especially in informal settlements. These two phenomena mean urban family planning merits more attention. ⋯ Such entry points can include infant and child health, female education and employment, and urban poverty reduction. Successful cross-sectoral advocacy for urban family planning requires not just solid evidence, but also internal consensus and external advocacy: FP actors must consensually frame the issue per local preoccupations, and then communicate the resulting key messages in concerted and targeted fashion. More broadly, success also requires that the environment be made conducive to cross-sectoral action, for example through clear requirements in the planning processes' guidelines, structures with focal persons across sectors, and accountability for stakeholders who must make cross-sectoral action a reality.
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Frequent daily discrimination compounds the negative health impacts of those with multiple marginalized identities, including pregnant mothers and their children. We used a dyadic, moderated, mediated model of 296 young, expectant, poor, urban, primarily minority couples. In this study, we explored if a multiple pathway discrimination model explained the relationship between multiple marginalized identities and health (depression and stress). ⋯ Our observations suggest that discrimination's impact on health is experienced during pregnancy and the more marginalized identities one carries, the more impact it may have. Further, having a partner with multiple marginalized identities also impacts the depression and stress reported by women. Inventions to address depression and stress outcomes may be strengthened by considering multiple marginalized identities and include couples.
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Sleep disparities in sexual minority male (SMM) populations have received relatively little attention but they may be critical to explaining other health disparities seen among SMM, via neural or hormonal pathways. Recent research suggests that crime may be a psychosocial stressor that contributes to sleep disparities but that finding has been based on subjective measures of crime. We conducted the P18 Neighborhood Study of 250 SMM in New York City, including 211 with adequate GPS tracking data. ⋯ We did not find any associations between violent crime rates in either the activity area or residential area and sleep. Our findings support the conclusion that personal exposure to crime is associated with sleep problems and provide further evidence for the pathway between stress and sleep. The lack of association between neighborhood crime levels and sleep suggests that there must be personal experience with crime and ambient presence is insufficient to produce an effect.
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There is tremendous interest in understanding how neighborhoods impact health by linking extant social and environmental drivers of health (SDOH) data with electronic health record (EHR) data. Studies quantifying such associations often use static neighborhood measures. Little research examines the impact of gentrification-a measure of neighborhood change-on the health of long-term neighborhood residents using EHR data, which may have a more generalizable population than traditional approaches. ⋯ Of the 99 block groups within the city of Durham, 28 were eligible (N = 10,807; median age = 42; 83% Black; 55% female) and 5 gentrified. Individuals in gentrifying neighborhoods had lower odds of obesity (odds ratio [OR] = 0.89; 95% confidence interval [CI]: 0.81-0.99), higher odds of an ED encounter (OR = 1.10; 95% CI: 1.01-1.20), and lower risk for outpatient encounters (incidence rate ratio = 0.93; 95% CI: 0.87-1.00) compared with non-gentrifying neighborhoods. The association between gentrification and health and healthcare utilization was sensitive to gentrification definition.
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Racial and racialized economic residential segregation has been empirically associated with outcomes across multiple health conditions but not yet explored in relation to out-of-hospital cardiac arrest (OHCA). We sought to examine if measures of racial and economic residential segregation are associated with differences in survival to discharge after OHCA for Black and White Medicare beneficiaries. Utilizing age-eligible Medicare fee-for-service claims data from 2013 to 2015, we identified OHCA claims and determined survival to discharge. ⋯ Black beneficiaries exhibited 12.1% survival to discharge, compared with 12.5% of White beneficiaries. In fully adjusted models of the three ICE measures accounting for differences in treating hospital characteristics, there was as high as a 28% (RR 1.28, CI 1.23-1.26) higher relative likelihood of survival to discharge in the most segregated White ZIP codes (Q5) as compared to the most segregated Black ZIP codes (Q1). Racial residential segregation is independently associated with disparities in OHCA outcomes; among Medicare beneficiaries who generated a claim after suffering an OHCA, ICE measures of racial segregation are associated with a lower likelihood of survival to discharge for those living in the most segregated Black and lower income quintiles compared to higher quintiles.