Dataset Information

Disparities in trajectories of changes in the unhealthy food environment in New York City: A latent class growth analysis, 1990-2010.

ABSTRACT: Disparities in availability of food retailers in the residential environment may help explain racial/ethnic and socio-economic differences in obesity risk. Research is needed that describes whether food environment dynamics may contribute to equalizing conditions across neighborhoods or to amplifying existing inequalities over time. This study improves the understanding of how the BMI-unhealthy food environment has evolved over time in New York City. We use longitudinal census tract-level data from the National Establishment Time-Series (NETS) for New York City in the period 1990-2010 and implement latent class growth analysis (LCGA) to (1) examine trajectories of change in the number of unhealthy food outlets (characterized as selling calorie-dense foods such as pizza and pastries) at the census tract-level, and (2) examine how trajectories are related to socio-demographic characteristics of the census tract. Overall, the number of BMI-unhealthy food outlets increased between 1990 and 2010. We summarized trajectories of evolutions with a 5-class model that indicates a pattern of fanning out, such that census tracts with a higher initial number of BMI-unhealthy food outlets in 1990 experienced a more rapid increase over time. Finally, fully adjusted logistic regression models reveal a greater increase in BMI-unhealthy food outlets in census tracts with: higher baseline population size, lower baseline income, and lower proportion of Black residents. Greater BMI-unhealthy food outlet increases were also noted in the context of census tracts change suggestive of urbanization (increasing population density) or increasing purchasing power (increasing income).

SUBMITTER: Berger N

PROVIDER: S-EPMC6689383 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Disparities in trajectories of changes in the unhealthy food environment in New York City: A latent class growth analysis, 1990-2010.

Berger Nicolas N Kaufman Tanya K TK Bader Michael D M MDM Rundle Andrew G AG Mooney Stephen J SJ Neckerman Kathryn M KM Lovasi Gina S GS

Social science & medicine (1982) 20190611

Disparities in availability of food retailers in the residential environment may help explain racial/ethnic and socio-economic differences in obesity risk. Research is needed that describes whether food environment dynamics may contribute to equalizing conditions across neighborhoods or to amplifying existing inequalities over time. This study improves the understanding of how the BMI-unhealthy food environment has evolved over time in New York City. We use longitudinal census tract-level data f ...[more]

PMID: 31247345

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Project description:IntroductionThe PROMISE study, launched in 2018, evaluates the implementation of revisions to the HIV Care Coordination Program (CCP) designed to minimize persistent disparities in HIV outcomes among high-need persons living with HIV in New York City. We conducted a discrete choice experiment (DCE) assessing the preferences of CCP clients to inform improvements to the program's design.MethodsClients chose between two hypothetical CCP options that varied across four program attributes: help with antiretroviral therapy (ART) adherence (directly observed therapy [DOT] vs. remind via phone/text vs. adherence assessment), help with primary care appointments (remind and accompany vs. remind and transport vs. remind only), help with issues other than primary care (coverage and benefits vs. housing and food vs. mental health vs. specialty medical care) and visit location (meet at home vs. via phone/video vs. program visit 30 or 60 minutes away). The latent class analysis identified different preference patterns. A choice simulation was performed to model client preferences for hypothetical CCPs as a whole.ResultsOne hundred and eighty-one CCP clients from six sites implementing the revised CCP completed the DCE January 2020-March 2021. Most clients had stable housing (68.5%), reported no problem substance use in the last 3 months (72.4%) and achieved viral suppression (78.5) with only 26.5% receiving DOT within a CCP. 77.3% of responses were obtained before the COVID-19 pandemic. Preferences clustered into three groups. Visit location and ART adherence support were the most important attributes. Group 1 (40%) endorsed telehealth for visit location; telehealth for ART adherence support; and help with securing housing/food; Group 2 (37%) endorsed telehealth for visit location; telehealth for ART adherence support; and staff reminding/arranging appointment transportation; Group 3 (23%) endorsed staff meeting clients at program location and staff working with clients for medication adherence. In the choice simulation, Basic and Medium hypothetical CCPs were endorsed more than Intensive CCPs.ConclusionsThis DCE revealed a strong preference for telehealth and a relatively low preference for intensive services, such as DOT and home visits; preferences were heterogeneous. The findings support differentiated care and remote service delivery options in the NYC CCP, and can inform improvements to CCP design.

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Dataset Information

Disparities in trajectories of changes in the unhealthy food environment in New York City: A latent class growth analysis, 1990-2010.

Publications

Disparities in trajectories of changes in the unhealthy food environment in New York City: A latent class growth analysis, 1990-2010.

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