Evidence map›Paper›PMID 33502685›Full record

ArticleJournal of racial and ethnic health disparities2022

Differences in Health Characteristics of Geographic Subgroups of Arab Americans in a Northern California Health Plan.

Nadia N Abuelezam, Abdulrahman M El-Sayed, Sandro Galea, Nancy P Gordon

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Article in Journal of racial and ethnic health disparities, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

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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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Nadia N AbuelezamBoston College William F. Connell School of Nursing, 140 Commonwealth Avenue, Chestnut Hill, MA, 02467, USA. nadia.abuelezam@bc.edu.ORCID http://orcid.org/0000-0002-5459-8592
Abdulrahman M El-SayedCollege of Literature, Science, & the Arts & Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Sandro GaleaBoston University School of Public Health, Boston, MA, USA.
Nancy P GordonKaiser Permanente Division of Research, Oakland, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionArab Americans are a diverse ethnic group originating from a large geographic area in the Middle East and North Africa (MENA). We aim to characterize differences in health between Arab Americans from different geographic subgroups within MENA.

methodsWe used cross-sectional electronic health record (EHR) data for a subset of 4913 Arab Americans aged 20-84 in a 2016 Northern California health plan study cohort who could be assigned to one of 4 geographic subgroups (Gulf, African, Levant, and Other) based on EHR ethnicity data. We calculated age-adjusted prevalence estimates for men and women and used generalized linear models to compare Gulf, African, and Other subgroups to Levant Arabs on risk factors (obesity and smoking), chronic conditions (diabetes, hypertension, hyperlipidemia, and asthma), and mental health (depression and anxiety).

resultsAmong women, prevalence of smoking was lower among Gulf, African, and Other Arabs than Levant Arabs. Among men, prevalence of obesity, diabetes, and hyperlipidemia was lower among Gulf, African, and Other Arabs than Levant Arabs, while prevalence of depression was higher for these subgroups than Levant Arabs. DISCUSSION: We found substantial differences in health characteristics across Arab Americans from different geographic subgroups. Our results suggest that more detailed race and ethnicity information should be collected on Arab Americans to better understand their diverse health risks.

Indexed as

ArabsDiabetes MellitusCaliforniaCross-Sectional StudiesFemaleHumansMaleObesityArab AmericansCaliforniaChronic diseaseHealth disparitiesRisk factors

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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.