Evidence map›Paper›PMID 35404461›Full record

ArticleJAMA network open2022

Joint Associations of Race, Ethnicity, and Socioeconomic Status With Mortality in the Multiethnic Cohort Study.

Meera Sangaramoorthy, Salma Shariff-Marco, Shannon M Conroy, Juan Yang, Pushkar P Inamdar, Anna H Wu, Christopher A Haiman, Lynne R Wilkens, Scarlett L Gomez, Loïc Le Marchand and 1 more

Erratum issuedAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Trial
  2. The Landscape of Genomic and Socioeconomic Variables in Patients with Colorectal Cancer Based on Genetic Ancestry.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  3. Review
  4. The Multiethnic Cohort: A Resource for the Study of Genetic and Nongenetic Cancer Risk across Populations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
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  6. Article
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  12. Review
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  18. Article
  19. Article
  20. Errors in Table Data.JAMA network open · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Meera SangaramoorthyDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco.
Salma Shariff-MarcoDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco.
Shannon M ConroyDepartment of Public Health Sciences, University of California, Davis.
Juan YangDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco.
Pushkar P InamdarDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco.
Anna H WuDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles.
Christopher A HaimanDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles.
Lynne R WilkensEpidemiology Program, University of Hawaii Cancer Center, Honolulu.
Scarlett L GomezDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco.
Loïc Le MarchandEpidemiology Program, University of Hawaii Cancer Center, Honolulu.
Iona ChengDepartment of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco.

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GERTRAUD MASKARINEC · 1996 to 2026
$56.2M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Obesogenic environment: impact on breast, colorectal, and prostate cancer riskR01CA154644 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI CHENG, IONA C · 2011 to 2015
$1.4M
Social and built environment and race/ethnic variations in cancer outcomesR03CA117324 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI GOMEZ, SCARLETT L · 2006 to 2007
$139k
NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA154644NCI NIH HHS R03 CA117324NCI NIH HHS U01 CA164973
6 · The paper itself

Abstract

Importance: Socioeconomic status may help delineate racial and ethnic inequities in mortality. Objective: To investigate the joint associations of race, ethnicity, and neighborhood and individual socioeconomic status with mortality. Design, Setting, and Participants: This prospective analysis used data from the Multiethnic Cohort Study. A population-based sample of participants recruited from California (mainly Los Angeles County) and Hawaii from 1993 to 1996 was followed up until 2013. African American, European American, Japanese American, Latino American, and Native Hawaiian men and women were included. Participants with baseline residential addresses that could not be geocoded or who were missing information on education or adjustment variables were excluded. Data analyses were conducted from January 2018 to December 2020. Exposures: Neighborhood socioeconomic status (nSES) was derived using US Census block group data on education, occupation, unemployment, household income, poverty, rent, and house values. Participants self-reported their highest education attainment. Five racial and ethnic groups, 2 states of residence, 2 nSES, and 2 education categories were combined to create a joint exposure variable. Low and high nSES were defined as quintiles 1 to 3 and 4 to 5, respectively. Low and high education levels were defined as high school or less and greater than high school graduate, respectively. Main Outcomes and Measures: All-cause, cardiovascular disease (CVD), cancer, and non-CVD and noncancer deaths were ascertained through 2013 via linkage to death certificates and the US National Death Index. Multivariable Cox proportional hazards regression analyses were conducted. Results: Among 182 912 participants (100 785 [55.1%] women and 82 127 [44.9%] men; mean [SD] age, 60.0 [8.9] years; 31 138 African American, 45 796 European American, 52 993 Japanese American, 39 844 Latino American, and 13 141 Native Hawaiian participants) with a mean (SD) follow-up of 17 (5) years, there were 63 799 total deaths, including 23 191 CVD deaths, 19 008 cancer deaths, and 21 235 non-CVD and noncancer deaths. The lowest all-cause mortality was found among 15 104 Japanese American participants in Hawaii with high nSES and high education (eg, 2870 all-cause deaths [19.0%]), and this population served as the reference group for all regression analyses. Native Hawaiian participants in Hawaii with low nSES and low education had the highest all-cause mortality HR (2.38; 95% CI, 2.21-2.57). African American and European American participants in California with low nSES and low education had the next highest all-cause mortality HRs (2.01; 95% CI, 1.91-2.11 and 1.98; 95% CI, 1.85-2.12, respectively). Latino American participants in California with low nSES had equivalent all-cause mortality HRs regardless of education level (high education: 1.57; 95% CI, 1.48-1.66; low education: 1.57; 95% CI, 1.50-1.65). Patterns for cause-specific mortality were similar to those for all-cause mortality. For example, Native Hawaiian participants in Hawaii with low nSES and low education had highest CVD mortality HR (2.92; 95% CI, 2.60-3.27) and cancer mortality HR (2.01; 95% CI, 1.77-2.29). Conclusions and Relevance: These results suggest that joint associations of nSES and education may further delineate racial and ethnic inequities in mortality and that future investigations of racial and ethnic inequities in mortality should consider differences by measures of socioeconomic status, especially for underserved populations.

Indexed as

Cardiovascular DiseasesEthnicityCohort StudiesFemaleHumansMaleMiddle AgedSocial ClassUnited StatesWhite People

Identifiers

PMID35404461
PMCPMC9002338

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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.