Evidence map›Paper›PMID 37901668›Full record

ArticleHawai'i journal of health & social welfare2023

Age and Sex Distributions of 31 Common Racial Groups in Hawai'i: A Shiny Web Application.

Kyle M Ishikawa, Masako Matsunaga, Hyeong Jun Ahn, Chathura Siriwardhana, John J Chen

Abstract read
In one paragraph

Article in Hawai'i journal of health & social welfare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kyle M IshikawaDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'I, Honolulu, HI.
Masako MatsunagaDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'I, Honolulu, HI.
Hyeong Jun AhnDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'I, Honolulu, HI.
Chathura SiriwardhanaDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'I, Honolulu, HI.
John J ChenDepartment of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'I, Honolulu, HI.

Funding

The Role of gp120 on Cardiovascular Disease in People Living with HIVU54MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI Benjamin C. Fogelgren · 2017 to 2026
$59.5M
Tracking and Evaluation CoreU54GM138062 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI SY, ANGELA U · 2021 to 2025
$15.5M
NIGMS NIH HHS U54 GM138062NIMHD NIH HHS U54 MD007601
6 · The paper itself

Abstract

Hawai'i is the most ethnically diverse state with the highest proportion of multiracial individuals in the United States. The Stepwise Proportional Weighting Algorithm (SPWA) was developed to bridge the categorization of multiracial Census data into single-race population estimates for common races in Hawai'i. However, these estimates have not been publicly available. A Shiny web application, the Hawai'i Single-Race Categorization Tool, was developed as a user friendly research tool to obtain the age and sex distributions of single-race estimates for common racial groups in Hawai'i. The Categorization Tool implements the SPWA and presents the results in tabular and graphic formats, stratified by sex and age. It also allows the categorization of partial Native Hawaiians as Native Hawaiians in the population estimation. Using this tool, the current paper reports population estimates and distributions for 31 common racial groups using Hawai'i Census 2010 data. Among the major Census races, Asian had the largest population (631 881; 46.5%) in Hawai'i, followed by White (431 635; 31.7%) and Native Hawaiian and Other Pacific Islander (227 588; 16.7%). Among Census detailed races within Asian, Filipino had the largest population estimate (244 730; 18.0%), followed by Japanese (227 165; 16.7%) and Chinese (103 600; 7.6%). Native Hawaiian accounted for 12.3% of the Hawai'i population (166 944). After recategorizing part-Native Hawaiians as Native Hawaiians, Native Hawaiian increased by 150.0%, with the greatest increase among the young. This publicly available tool would be valuable for race-related resource allocation, policy development, and health disparities research in Hawai'i.

Indexed as

Age DistributionRacial GroupsSex DistributionAsianCensusesEast Asian PeopleFemaleHawaiiHumansMaleNative Hawaiian or Pacific IslanderSoutheast Asian PeopleUnited StatesWhitecensusesHawai‘ipopulation estimationracial groupShiny App

Identifiers

PMID37901668
PMCPMC10612410

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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.