Racial/ethnic differences in health-related quality of life among Hawaii adult population.


Journal

Health and quality of life outcomes
ISSN: 1477-7525
Titre abrégé: Health Qual Life Outcomes
Pays: England
ID NLM: 101153626

Informations de publication

Date de publication:
09 Dec 2020
Historique:
received: 02 06 2020
accepted: 12 11 2020
entrez: 10 12 2020
pubmed: 11 12 2020
medline: 17 12 2020
Statut: epublish

Résumé

This study examined racial/ethnic differences in health-related quality of life (HRQOL) among adults and identified variables associated with HRQOL by race/ethnicity. This study was conducted under a cross-sectional design. We used the 2011-2016 Hawaii Behavioral Risk Factor Surveillance System data. HRQOL were assessed by four measures: self-rated general health, physically unhealthy days, mentally unhealthy days, and days with activity limitation. Distress was defined as fair/poor for general health and 14 days or more for each of the other three HRQOL measures. We conducted multivariable logistic regressions with variables guided by Anderson's behavioral model on each distress measure by race/ethnicity. Among Hawaii adults, 30.4% were White, 20.9% Japanese, 16.8% Filipino, 14.6% Native Hawaiian and Pacific Islander (NHPI), 5.9% Chinese, 5.2% Hispanics, and 6.2% Other. We found significant racial/ethnic differences in the HRQOL measures. Compared to Whites, Filipinos, Japanese, NHPIs, and Hispanics showed higher distress rates in general health, while Filipinos and Japanese showed lower distress rates in the other HRQOL measures. Although no variables were consistently associated with all four HRQOL measures across all racial/ethnic groups, history of diabetes were significantly associated with general health across all racial/ethnic groups and history of depression was associated with at least three of the HRQOL measure across all racial/ethnic groups. This study contributes to the literature on disparities in HRQOL and its association with other variables among diverse racial/ethnic subgroups. Knowing the common factors for HRQOL across different racial/ethnic groups and factors specific to different racial/ethnic groups will provide valuable information for identifying future public health priorities to improve quality of life and reduce health disparities.

Sections du résumé

BACKGROUND BACKGROUND
This study examined racial/ethnic differences in health-related quality of life (HRQOL) among adults and identified variables associated with HRQOL by race/ethnicity.
METHODS METHODS
This study was conducted under a cross-sectional design. We used the 2011-2016 Hawaii Behavioral Risk Factor Surveillance System data. HRQOL were assessed by four measures: self-rated general health, physically unhealthy days, mentally unhealthy days, and days with activity limitation. Distress was defined as fair/poor for general health and 14 days or more for each of the other three HRQOL measures. We conducted multivariable logistic regressions with variables guided by Anderson's behavioral model on each distress measure by race/ethnicity.
RESULTS RESULTS
Among Hawaii adults, 30.4% were White, 20.9% Japanese, 16.8% Filipino, 14.6% Native Hawaiian and Pacific Islander (NHPI), 5.9% Chinese, 5.2% Hispanics, and 6.2% Other. We found significant racial/ethnic differences in the HRQOL measures. Compared to Whites, Filipinos, Japanese, NHPIs, and Hispanics showed higher distress rates in general health, while Filipinos and Japanese showed lower distress rates in the other HRQOL measures. Although no variables were consistently associated with all four HRQOL measures across all racial/ethnic groups, history of diabetes were significantly associated with general health across all racial/ethnic groups and history of depression was associated with at least three of the HRQOL measure across all racial/ethnic groups.
CONCLUSIONS CONCLUSIONS
This study contributes to the literature on disparities in HRQOL and its association with other variables among diverse racial/ethnic subgroups. Knowing the common factors for HRQOL across different racial/ethnic groups and factors specific to different racial/ethnic groups will provide valuable information for identifying future public health priorities to improve quality of life and reduce health disparities.

Identifiants

pubmed: 33298089
doi: 10.1186/s12955-020-01625-4
pii: 10.1186/s12955-020-01625-4
pmc: PMC7724821
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

380

Subventions

Organisme : NIMHD NIH HHS
ID : U54 MD007601
Pays : United States
Organisme : National Center on Minority Health and Health Disparities
ID : U54MD007601

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Auteurs

Eunjung Lim (E)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, 651 Ilalo Street, Medical Education Building, Suite 411, Honolulu, HI, 96813, USA. lime@hawaii.edu.

James Davis (J)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, 651 Ilalo Street, Medical Education Building, Suite 411, Honolulu, HI, 96813, USA.

Chathura Siriwardhana (C)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, 651 Ilalo Street, Medical Education Building, Suite 411, Honolulu, HI, 96813, USA.

Lovedhi Aggarwal (L)

Department of Family, Population & Preventive Medicine, Stony Brook University Medical Center, HSC L3, Rm 086, Stony Brook, NY, 11794-8036, USA.
Department of Family Medicine, John A. Burns School of Medicine, University of Hawaii, Family Medicine at the Physician Center at Mililani, 95-390 Kuahelani AVE, Mililani, HI, 96789, USA.

Allen Hixon (A)

Department of Family Medicine, John A. Burns School of Medicine, University of Hawaii, Family Medicine at the Physician Center at Mililani, 95-390 Kuahelani AVE, Mililani, HI, 96789, USA.

John J Chen (JJ)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, 651 Ilalo Street, Medical Education Building, Suite 411, Honolulu, HI, 96813, USA.

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Classifications MeSH