Evidence map›Paper›PMID 39463815›Full record

ArticleEthnicity & disease2024

Sociodemographic and Mental Health Factors Associated with Obesity in Resettled Refugees in Syracuse, New York.

Miriam Mutambudzi, Akritee Sharma, Waseem Sous, Andrea V Shaw, Kevin S Heffernan

Abstract read
In one paragraph

Article in Ethnicity & disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

5 authors.

Miriam MutambudziDepartment of Public Health, Syracuse University, Syracuse, NY.
Akritee SharmaDepartment of Internal Medicine, SUNY Upstate Medical University, Syracuse, NY.
Waseem SousDepartment of Internal Medicine, SUNY Upstate Medical University, Syracuse, NY.
Andrea V ShawDepartment of Internal Medicine, SUNY Upstate Medical University, Syracuse, NY.
Kevin S HeffernanDepartment of Exercise Science, Syracuse University, Syracuse, NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Resettled refugees have been exposed to stressful and life-threatening events preresettlement and are among the most marginalized and vulnerable groups in society. Postresettlement, they face challenges when assimilating to an unfamiliar host country, which renders them vulnerable to adverse health outcomes including obesity, a major public health burden. This study was conducted to examine the association of mental health and sociodemographic factors, including language proficiency and educational attainment, with obesity in first-generation resettled refugees. Methods: We used data from electronic health records from the Adult Ambulatory Medicine Clinic of the State University of New York Upstate, Syracuse, NY. The probability of being overweight and obese (class I and class II) relative to normal weight was estimated using fully adjusted multinomial logistic regression models with relative risk ratios (RRRs). Findings: Relative to male refugees, female refugees were more likely to have class I obesity (RRR=1.83; 95% confidence interval [CI]=1.19, 2.80) and class II obesity (RRR=4.07; 95% CI=2.41, 6.87). Limited English proficiency increased the risk of being overweight (RRR=2.02; 95% CI=1.29, 3.17) and having class II obesity (RRR=2.14, 95% CI=1.20, 3.81). A clinical mental health diagnosis increased the risk of class I (RRR=2.00; 95% CI=1.35, 2.96) and class II (RRR=1.76; 95% CI=1.15, 2.71) obesity. Having no formal education was associated with decreased risk of class II obesity (RRR=0.42; 95% CI=0.19, 0.90). Discussion: Obesity prevalence and subsequent related morbidity continue to be major public health burdens in vulnerable, often underserved populations in the United States. Further investigation into social determinants of obesity in refugees in a community setting that captures the unique experiences of heterogenous refugee groups outside the clinical setting is warranted.

Indexed as

ObesityRefugeesAdolescentAdultFemaleHumansMaleMental HealthMiddle AgedNew YorkSociodemographic FactorsYoung AdultFormal EducationLimited English ProficiencyMental Health DiagnosisObesityOverweightRefugees

Identifiers

PMID39463815
PMCPMC11500643

What OpenQuestion holds

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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.