Residential Segregation and Diabetes Risk among Latinos

Grigsby-Toussaint, Diana S.; Jones, Antwan; Kubo, Jessica; Bradford, Natalie

doi:10.18865/ed.25.4.451

Cited by 10 publications

(6 citation statements)

References 33 publications

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“…The clustering dimension appeared in 7 studies (Bell et al, ; Biello, Ickovics, Niccolai, Lin, & Kershaw, ; Grady, ; Lutfi et al, ; Lutfi et al, ; Walton, ; Yang et al, ), and both the concentration and centralization dimensions were included in four studies (Biello, Ickovics, et al, ; Lutfi et al, ; Lutfi et al, ; Yang et al, ). Six studies used the work by Massey and Denton () to define hypersegregated MSAs as those areas with at least four dimensions that suggested high black/white segregation (Biello, Ickovics, et al, ; Biello, Niccolai, Kershaw, Lin, & Ickovics, ; Grigsby‐Toussaint et al, ; Jones, ; Lutfi et al, ; Osypuk & Acevedo‐Garcia, ). While the segregation measures that take spatial relationships among areal units into account have been used to explore their relationships with health (Bravo et al, ; Debbink & Bader, ; Grady, ; Grady, ; Grady & McLafferty, ; Grady & Ramírez, ; Kramer et al, ; Mayne et al, ; Salow et al, ), most of the segregation indicators in the selected studies presume that the subunits within the main unit of interest are spatially independent.…”

Section: Resultsmentioning

confidence: 99%

“…Four of the seven studies that explicitly measured white/Asians segregation found that Asians benefited from high segregation in terms of low risk of having a low birth weight baby and smoking during pregnancy (Walton, ; Yang et al, ), low odds of late‐stage breast cancer diagnosis (Mobley, Kuo, et al, ) and early‐stage breast cancer surgery (Ojinnaka et al, ), and low sodium‐potassium ratio (Yi et al, ). Thirteen studies did not find a significant relationship between racial/ethnic segregation and health disparities (Anderson & Fullerton, ; Biello, Niccolai, et al, ; Britton & Velez, ; Grigsby‐Toussaint et al, ; Haas, Earle, Orav, Brawarsky, Keohane, et al, ; Harvey et al, ; Kershaw et al, ; Kershaw & Albrecht, ; Kovalchik et al, ; Mendez et al, ; Piontak & Schulman, ; Plascak et al, ; Tempalski et al, ).…”

Section: Resultsmentioning

confidence: 99%

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Racial/ethnic segregation and health disparities: Future directions and opportunities

2020

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Health researchers have investigated the association between racial segregation and racial health disparities with multilevel approaches. This study systematically reviews these multilevel studies and identifies broad trends and potential directions for future research on racial segregation and health disparities in the US. After searching databases including CINAHL and MEDLINE, we systematically reviewed 66 articles published between 2003 and 2019 and found four major gaps in racial/ethnic segregation and health disparities: (a) the concept of segregation was rarely operationalized at the neighborhood level, (b) except for the evenness and exposure dimension, other dimensions of segregation are overlooked, (c) little attention was paid to the segregation between whites and non‐black minorities, particularly Hispanics and Asians, and (d) mental health outcomes were largely absent. Future directions and opportunities include: First, other segregation dimensions should be explored. Second, the spatial scales for segregation measures should be clarified. Third, the theoretical frameworks for black and non‐black minorities should be tested. Fourth, mental health, substance use, and the use of mental health care should be examined. Fifth, the long‐term health effect of segregation has to be investigated, and finally, other competing explanations for why segregation matters at the neighborhood level should be answered.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Racial/ethnic segregation and health disparities: Future directions and opportunities

2020

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“…None have focused upon AI/ANs (Kershaw & Pender, 2016). Most previous studies reported no relationship between racial segregation and diabetes prevalence (Gaskin et al, 2014; Grigsby-Toussaint, Jones, Kubo, & Bradford, 2015; Lim, Yi, Lundy De La Cruz, & Trinh-Shevrin, 2015; Piccolo, Duncan, Pearce, & McKinlay, 2015), but higher segregation was associated with higher diabetes mortality among Blacks (Hunt, Whitman, & Henry, 2014; Rosenstock, Whitman, West, & Balkin, 2014). Such findings imply that greater neighborhood concentration of racial minorities may impact the management, but not necessarily the development, of the disease (Kershaw & Pender, 2016).…”

Section: Discussionmentioning

confidence: 86%

Neighborhood characteristics and lifestyle intervention outcomes: Results from the Special Diabetes Program for Indians

Jiang

Chang

Beals

et al. 2018

Preventive Medicine

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Growing evidence reveals various neighborhood conditions are associated with the risk of developing type 2 diabetes. It is unknown, however, whether the effectiveness of diabetes prevention interventions is also influenced by neighborhood characteristics. The purpose of the current study is to examine the impact of neighborhood characteristics on the outcomes of a lifestyle intervention to prevent diabetes in American Indians and Alaska Natives (AI/ANs). Year 2000 US Census Tract data were linked with those from the Special Diabetes Program for Indians Diabetes Prevention Program (SDPI-DP), an evidence-based lifestyle intervention implemented in 36 AI/AN grantee sites across the US. A total of 3394 participants started the intervention between 01/01/2006 and 07/31/2009 and were followed by 07/31/2016. In 2016-2017, data analyses were conducted to evaluate the relationships of neighborhood characteristics with intervention outcomes, controlling for individual level socioeconomic status. AI/ANs from sites located in neighborhoods with higher median household income had 38% lower risk of developing diabetes than those from sites with lower neighborhood income (adjusted hazard ratio = 0.65, 95% CI: 0.47-0.90). Further, those from sites with higher neighborhood concentrations of AI/ANs achieved less BMI reduction and physical activity increase. Meanwhile, participants from sites with higher neighborhood level of vehicle occupancy made more improvement in BMI and diet. Lifestyle intervention effectiveness was not optimal when the intervention was implemented at sites with disadvantaged neighborhood characteristics. Meaningful improvements in socioeconomic and other neighborhood disadvantages of vulnerable populations could be important in stemming the global epidemic of diabetes.

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“…The maximum CASP score was 10/10 and all papers scored at least 7/10. Reasons for exclusion included lack of relevance to the title of the review [ 21 ], participants not meeting our inclusion criteria (e.g. studies undertaken in people who did not have an elevated risk of diabetes or pre-diabetes) [ 22 ] and studies that focused exclusively on GDM and the not future risk of diabetes [ 23 ].…”

Section: Resultsmentioning

confidence: 99%

How are health-related behaviours influenced by a diagnosis of pre-diabetes? A meta-narrative review

Barry

Greenhalgh

Fahy

2018

BMC Med

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BackgroundSeveral countries, including England, have recently introduced lifestyle-focused diabetes prevention programmes. These aim to reduce the risk of individuals with pre-diabetes developing type 2 diabetes. We sought to summarise research on how socio-cultural influences and risk perception affect people’s behaviour (such as engagement in lifestyle interventions) after being told that they have pre-diabetes.MethodsUsing the RAMESES standards for meta-narrative systematic reviews, we identified studies from database searches and citation-tracking. Studies were grouped according to underlying theorisations of pre-diabetes. Following a descriptive analysis, the studies were synthesised with reference to Cockerham’s health lifestyle theory.ResultsIn total, 961 titles were scanned, 110 abstracts assessed and 35 full papers reviewed. Of 15 studies included in the final analysis, 11 were based on individual interviews, focus groups or ethnography and five on structured questionnaires or surveys. Three meta-narratives emerged. The first, which we called biomedical, characterised pre-diabetes as the first stage in a recognised pathophysiological illness trajectory and sought to intervene with lifestyle changes to prevent its progression. The second, which we called psychological, focused on the theory-informed study of the knowledge, attitudes and behaviours in people with pre-diabetes. These studies found that participants generally had an accurate perception of their risk of developing diabetes, but this knowledge did not directly lead to behavioural change. Some psychological studies incorporated wider social factors in their theoretical models and sought to address these through action at the individual level. The third meta-narrative we termed social realist. These studies conceptualised pre-diabetes as the product of social determinants of health and they applied sociological theories to explore the interplay between individual agency and societal influences, such as the socio-cultural context and material and economic circumstances. They recommended measures to address these structural influences on lifestyle choices.ConclusionsThe study of pre-diabetes to date has involved at least three research disciplines (biomedicine, psychology and sociology), which up to now have operated largely independently of one another. Behavioural science and sociology are increasing our understanding of how personal, social, cultural and economic aspects influence health-related behaviours. An interdisciplinary approach with theoretically informed multi-level studies could potentially improve the success of diabetes prevention strategies.Trial registrationProspero Registration Number: CRD42018088609.Electronic supplementary materialThe online version of this article (10.1186/s12916-018-1107-6) contains supplementary material, which is available to authorized users.

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Residential Segregation and Diabetes Risk among Latinos

Cited by 10 publications

References 33 publications

Racial/ethnic segregation and health disparities: Future directions and opportunities

Racial/ethnic segregation and health disparities: Future directions and opportunities

Neighborhood characteristics and lifestyle intervention outcomes: Results from the Special Diabetes Program for Indians

How are health-related behaviours influenced by a diagnosis of pre-diabetes? A meta-narrative review

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