Evidence map›Paper›PMID 35212889›Full record

ReviewCurrent diabetes reports2022

Policy Implications of Structural Violence and Syndemic Dynamics: A Lens for Addressing Latinx Immigrant Diabetes Health Disparities.

Janet Page-Reeves, Lidia Regino, Terry Schleder

Abstract readReview
In one paragraph

Review in Current diabetes reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Janet Page-ReevesDepartment of Family & Community Medicine and Office for Community Health, University of New Mexico, Albuquerque, NM, USA. JPage-Reeves@salud.unm.edu.ORCID 0000-0001-9401-3248
Lidia ReginoOffice for Community Health, University of New Mexico, Albuquerque, NM, USA.
Terry Schleder, Albuquerque, NM, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe purpose of this review is to explore using theoretical frameworks of structural violence and syndemics to understand Latinx health disparities with a focus on type 2 diabetes (T2D). We propose that combining these frameworks is a valuable approach for revealing complex root-cause dynamics and explaining the nuances of how and why health disparities exist. We discuss the importance of the relationship between T2D, fear, and stigma. RECENT

findingsImmigration policy creates structural conditions that invite unauthorized immigration while simultaneously excluding undocumented immigrants from access to healthcare resources. Structural exclusion then breeds fear of immigration status disclosure and deportation and, in the highly politicized immigration context that has emerged over the past two decades, also assigns social sigma to immigration status. Undocumented immigrants lack access to healthcare and health insurance; they cannot afford state-of-the-art drugs, they tend to be socially isolated and lack social capital to navigate systems; they are financially limited by poverty and lack of resources, emotionally taxed by the experience of discrimination, humiliation, and language-related challenges; and they have a toxic immigration stress load in the form of multidimensional fear. Potential areas for policy change are identified. Type 2 diabetes (T2D) follows racial, ethnic, and class fault lines that reflect unequal social and structural dynamics. Latinx immigrants are at disproportionate risk and explaining immigrant T2D social geography requires a holistic lens.

Indexed as

Diabetes Mellitus, Type 2Emigrants and ImmigrantsHumansPolicySyndemicViolenceDiabetesHealth disparitiesImmigrantsPolicyStructural violence

Identifiers

PMID35212889
PMCPMC8874099

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.