The influence of HOPE VI neighborhood revitalization on neighborhood-based physical activity: A mixed-methods approach

Dulin‐Keita, Akilah; Clay, Olivio J.; Whittaker, Shannon; Hannon, Lonnie; Adams, Ingrid; Rogers, Michelle; Gans, Kim M.

doi:10.1016/j.socscimed.2015.06.002

Cited by 20 publications

(11 citation statements)

References 30 publications

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“…These populations with type 2 diabetes (T2D) have higher rates of suboptimal glycemic control [7][8][9], diabetes-related hospitalizations [10] and complications [9,11], and pre-mature mortality [12] compared to more advantaged, less vulnerable populations. Causes underlying these disparities are multifactorial and multilevel, including patient-level factors (e.g., less adherence to self-management [13][14][15][16], lower participation in diabetes education [17]), community-level factors (e.g., limited access to healthy foods and places for physical activity [18,19]), healthcare-level factors (e.g., disparities in healthcare delivery [20], provider bias [21,22]), and system-level factors (e.g., lower rates of health insurance [23], differential access to medical care [24], and health and social policies [25]).…”

Section: Introductionmentioning

confidence: 99%

mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes

et al. 2019

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Background-Mobileand Internet-delivered (collectively, digital) interventions are widely used by persons with diabetes (PWD) to assist with self-management and improve/maintain glycemic control (hemoglobin A1c [A1c]). However, evidence concerning the acceptance and benefits of such interventions among disadvantaged/vulnerable PWD is still quite limited. Purpose of Review-We reviewed studies published from 2011-April 2019 evaluating the impact of diabetes self-management interventions delivered via mobile device and/or Internet on glycemic control of disadvantaged/vulnerable adults with type 2 diabetes (T2D). Included studies reported ≥ 50% of the sample having a low socioeconomic status and/or being a racial/ethnic minority, or living in a rural setting or low-/middle-income country (LMIC). We identified 21 studies evaluating a digital intervention among disadvantaged/vulnerable PWD. Recent Findings-Although many digital interventions found within-group A1c improvements (16 of 21 studies), only seven of the seventeen studies with a control group found between-group differences in A1c. Three studies found reductions in emergency room (ER) visits and hospitalizations. We synthesize this information, and provide recommendations for increasing access, and improving the design and usability of such interventions. We also discuss the role of human support in digital delivery, issues related to study design, reporting, economic value, and available research in LMICs. Summary-There is evidence suggesting that digital interventions can improve diabetes control, healthcare utilization, and healthcare costs. More research is needed to substantiate these early ✉ Monica E.

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Section: Introductionmentioning

confidence: 99%

mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes

et al. 2019

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“…[4; 8] Some diabetes disparities are rooted in biology (e.g., differences in insulin resistance and beta cell function[9]), neighborhood and community contexts (e.g., built environments limiting outdoor activity[10; 11] and access to recreational facilities,[12; 13] supermarkets,[14–18] and quality food[17; 19–21]), and the health care system (e.g., provider bias[22–25], differential access to[23; 24; 26–29] and quality of medical care[23; 30; 31]). Culturally, NHBs and/or Hispanics with T2D may be less likely to trust providers’ medication recommendations, have less confidence in medications, and be less likely to prioritize physical activity or weight loss than NHWs.…”

Section: Introductionmentioning

confidence: 99%

Self-Care Disparities Among Adults with Type 2 Diabetes in the USA

et al. 2016

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Suboptimal glycemic control is more common among Non-Hispanic Blacks (NHBs) and Hispanics than non-Hispanic Whites (NHWs). Disparities in the performance of self-care behaviors may contribute to this. To synthesize knowledge on current self-care disparities, we reviewed studies from January 2011-March 2016 that included NHWs, NHBs, and Hispanics with type 2 diabetes in the United States. Self-care behaviors included diet, exercise, medications, self-monitoring of blood glucose (SMBG), self-foot exams, and not smoking. Of 1,241 articles identified in PubMed, 25 met our inclusion criteria. These studies report consistent disparities in medication adherence. Surprisingly, we found consistent evidence of no disparities in exercise and some evidence of reverse disparities: compared to NHWs, Hispanics had healthier diets and NHBs had more regular SMBG. Consistent use of validated measures could further inform disparities in diet and exercise. Additional research is needed to test for disparities in self-foot exams, smoking, and diabetes-specific problem solving and coping.

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“…Health policy changes have bolstered preventive, non-clinical interventions that target the social and economic barriers to population-based health. Low-income racial and ethnic minorities will particularly benefit from interventions that target neighborhoods shaping individual risk [41, 70, 71]. One study of HOPE VI, a new generation of public housing, demonstrated an increase in neighborhood-based physical activity among housing residents [41].…”

Section: Discussionmentioning

confidence: 99%

“…Low-income racial and ethnic minorities will particularly benefit from interventions that target neighborhoods shaping individual risk [41, 70, 71]. One study of HOPE VI, a new generation of public housing, demonstrated an increase in neighborhood-based physical activity among housing residents [41]. However, the mass relocations and destruction of existing communities facilitated by HOPE VI may have countervailing effects on social cohesion and collective efficacy [72].…”

Section: Discussionmentioning

confidence: 99%

“…Thus, neighborhood deprivation reflects both social disorder (the focus of this paper) as well as physical disorder (as part of the built environment). Neighborhood deprivation (e.g., concentrated poverty, residential instability) has been associated with negative health outcomes, such as obesity, diabetes, and cardiovascular disease, as well as intermediate measures such as medication treatment adherence [31•, 34••, 40, 41]. One observational study examined the role of neighborhood poverty on racial disparities in diabetes prevalence (blacks vs. whites), using data from the US Census and the National Health and Nutrition Examination Survey (NHANES).…”

Section: Neighborhood Organizational Features Of Social Disordermentioning

confidence: 99%

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Social Disorder in Adults with Type 2 Diabetes: Building on Race, Place, and Poverty

et al. 2016

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The recent resurgence of social and civic disquiet in the USA has contributed to increasing recognition that social conditions are meaningfully connected to disease and death. As a “lifestyle disease,” control of diabetes requires modifications to daily activities, including healthy dietary practices, regular physical activity, and adherence to treatment regimens. One’s ability to develop the healthy practices necessary to prevent or control type 2 diabetes may be influenced by a context of social disorder, the disruptive social and economic conditions that influence daily activity and, consequently, health status. In this paper, we report on our narrative review of the literature that explores the associations between social disorder and diabetes-related health outcomes within vulnerable communities. We also propose a multilevel ecosocial model for conceptualizing social disorder, specifically focusing on its role in racial disparities and its pathways to mediating diabetes outcomes.

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The influence of HOPE VI neighborhood revitalization on neighborhood-based physical activity: A mixed-methods approach

Cited by 20 publications

References 30 publications

mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes

mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes

Self-Care Disparities Among Adults with Type 2 Diabetes in the USA

Social Disorder in Adults with Type 2 Diabetes: Building on Race, Place, and Poverty

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