Evidence map›Paper›PMID 38359158›Full record

ArticlePreventing chronic disease2024

Neighborhood-Level Stressors and Individual-Level Cardiovascular Disease Risk in Native Hawaiians: a Cross-Sectional Study.

Claire Townsend Ing, Hyeong Jun Ahn, Mapuana C K Antonio, Adrienne Y Dillard, Bridget Puni Kekauoha, Kevin Cassel, Scott Abrigo, Michelle Kauhane, Melody S Halzel, Joseph Keaweʻaimoku Kaholokula

Abstract read
In one paragraph

Article in Preventing chronic 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

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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Claire Townsend IngDepartment of Native Hawaiian Health, University of Hawai'i at Mānoa, 677 Ala Moana Blvd, Suite 1016B, Honolulu, HI 96813 (clairemt@hawaii.edu).
Hyeong Jun AhnDepartment of Quantitative Health Sciences, University of Hawai'i at Mānoa, Honolulu, Hawai'i.
Mapuana C K AntonioNative Hawaiian and Indigenous Health, Office of Public Health Studies, University of Hawai'i at Mānoa, Honolulu, Hawai'i.
Adrienne Y DillardKula no na Po'e Hawai'i, Honolulu, Hawai'i.
Bridget Puni KekauohaKula no na Po'e Hawai'i, Honolulu, Hawai'i.
Kevin CasselUniversity of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, Hawai'i.
Scott AbrigoKapolei Community Development Corporation, Kapolei, Hawai'i.
Michelle KauhaneKapolei Community Development Corporation, Kapolei, Hawai'i.
Melody S HalzelNative Hawaiian and Indigenous Health, Office of Public Health Studies, University of Hawai'i at Mānoa, Honolulu, Hawai'i.
Joseph Keaweʻaimoku KaholokulaDepartment of Native Hawaiian Health, University of Hawai'i at Mānoa, Honolulu, Hawai'i.

Funding

Tracking and Evaluation CoreU54GM138062 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI SHIKUMA, CECILIA M. · 2021 to 2025
$15.5M
The PILI 'Āina ProjectR01HL168858 · NHLBI · UNIVERSITY OF HAWAII AT MANOA · PI Claire Townsend Ing · 2023 to 2026
$2.5M
Systems Science Informed Multilevel Theoretical Model of Cardiovascular Health in Native HawaiiansK01HL146930 · NHLBI · UNIVERSITY OF HAWAII AT MANOA · PI ING, CLAIRE TOWNSEND · 2019 to 2023
$986k
NHLBI NIH HHS K01 HL146930NHLBI NIH HHS R01 HL168858NIGMS NIH HHS U54 GM138062
6 · The paper itself

Abstract

Introduction: Native Hawaiian people have higher rates of illness and death related to cardiovascular disease (CVD) than non-Hispanic White people. Research in other populations has shown that individual-level CVD risk factors (ie, high-fat diet, physical inactivity, obesity, and tobacco use) are associated with neighborhood characteristics (ie, social cohesion, walkability, availability of healthy food, and safety). This association has yet to be examined among Native Hawaiians. Methods: We conducted a cross-sectional survey of community-dwelling Native Hawaiian people in 2020. Three multiple regression models and 1 logistic regression model were assessed. Each model included individual-level CVD risk factors, age, sex, education, income, and neighborhood characteristics. Results: The regression models for body mass index (BMI) and physical activity showed significant results. The BMI model (R Conclusions: We found that neighborhood-level factors improved the model's ability to explain variance in BMI. Efforts to decrease BMI would benefit from improving the availability of healthy foods in neighborhoods, a finding supported by research in other populations.

Indexed as

Cardiovascular DiseasesCross-Sectional StudiesHumansNative Hawaiian or Pacific IslanderObesityResidence Characteristics

Identifiers

PMID38359158
PMCPMC10870997

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.