Evidence map›Paper›PMID 29432662›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2018

Associations of overweight/obesity and socioeconomic status with hypertension prevalence across racial and ethnic groups.

Deborah Rohm Young, Heidi Fischer, David Arterburn, Daniel Bessesen, Lee Cromwell, Matthew F Daley, Jay Desai, Assiamira Ferrara, Stephanie L Fitzpatrick, Michael A Horberg and 5 more

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

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

  1. Pooled it
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  3. Observational
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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

15 authors.

Deborah Rohm YoungDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.ORCID 0000-0002-8335-7851
Heidi FischerDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
David ArterburnKaiser Permanente Washington Health Research Institute, Seattle, WA, USA.
Daniel BessesenDenver Health, Denver, CO, USA.
Lee CromwellKaiser Permanente Georgia, Atlanta, GA, USA.
Matthew F DaleyInstitute for Health Research, Kaiser Permanente Colorado, Denver, CO, USA.
Jay DesaiHealthPartners Institute for Education and Research, Bloomington, MN, USA.
Assiamira FerraraDepartment of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
Stephanie L FitzpatrickCenter for Health Research, Kaiser Permanente Northwest, Portland, OR, USA.
Michael A HorbergMid-Atlantic Permanente Research Institute, Rockville, MD, USA.
Corinna KoebnickDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.ORCID 0000-0001-8274-0309
Claudia L NauDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
Caryn OshiroCenter for Health Research, Kaiser Permanente Hawaii, Honolulu, HI, USA.
Beth WaitzfelderCenter for Health Research, Kaiser Permanente Hawaii, Honolulu, HI, USA.
Ayae YamamotoDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
NIDDK NIH HHS P30 DK092924Patient-Centered Outcomes Research Institute CDRN-1306-04681
6 · The paper itself

Abstract

Racial/ethnic disparities in the prevalence of diagnosed hypertension are persistent but may be partially explained by racial/ethnic differences in weight category and neighborhood socioeconomic status. The authors compared hypertension prevalence rates among 4 060 585 adults with overweight or obesity across 10 healthcare systems by weight category and neighborhood education level in geographically and racially diverse individuals. Data were obtained from electronic health records. Hypertension was defined as at least two outpatient visits or one inpatient hospitalization with a coded diagnosis. Logistic regression, adjusted for age, sex, and site, with two-way interactions between race/ethnicity and weight category or neighborhood education, was used to examine the association between hypertension and race/ethnicity, with whites as the reference. Results documented that odds ratios for hypertension prevalence were greater for blacks, American Indians/Alaskan Natives, Asians, and Native Hawaiians/other Pacific Islanders compared with whites and lower for Hispanics in similar weight categories and neighborhood education levels. Although two-way interactions were statistically significant, the magnitude of the odds of hypertension compared with whites did not substantially vary across weight or neighborhood education. Hypertension odds were almost double relative to whites for blacks and Native Hawaiians/other Pacific Islanders across most weight categories and all neighborhood education levels. Odds of hypertension were about 50% greater for Asians relative to whites across weight categories. Results suggest that other factors might be associated with racial/ethnic disparities in hypertension. More research is needed to understand the many factors that may contribute to variation in diagnosed hypertension across racial/ethnic groups with overweight or obesity.

Indexed as

AdultAgedAged, 80 and overElectronic Health RecordsEthnicityFemaleHumansHypertensionLogistic ModelsMaleMiddle AgedObesityOverweightPrevalenceSocial ClassUnited Statesethnicityhypertensionneighborhood educationobesityoverweightrace

Identifiers

PMID29432662
PMCPMC6565383

What OpenQuestion holds

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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.