Literature DB >> 33625058

Factors Associated With Self-Perceived Hearing Handicap in Adults From Hispanic/Latino Background: Findings From the Hispanic Community Health Study/Study of Latinos.

Michelle L Arnold1,2, Kathryn Hyer2, Brent J Small2, Theresa Chisolm1, Gabrielle H Saunders3, Cathy L McEvoy2, David J Lee4, Sumitrajit Dhar5, Kathleen E Bainbridge6.   

Abstract

OBJECTIVES: We sought to determine what factors, including acculturation (language and social contact preferences), were associated with self-perceived hearing handicap among adults from Hispanic/Latino background. We utilized the Aday-Andersen behavioral model of health services utilization to frame our hypotheses that predisposing characteristics (age, sex, education, city of residence, Hispanic/Latino background, and acculturation), enabling resources (annual income and current health insurance coverage), and need (measured hearing loss and self-reported hearing loss) would be related to clinically-significant self-perceived hearing handicap as measured by the Hearing Handicap Inventory - Screening (HHI-S) version.
DESIGN: We analyzed baseline data collected from 2008 to 2011 as part of the multisite Hispanic Community Health Study/Study of Latinos. Data were from 6585 adults with hearing loss (defined by a worse-ear 500, 1000, 2000, and 4000 Hz pure-tone average [PTA] of ≥25 dB HL and/or a 4000, 6000, and 8000 Hz high-frequency PTA of ≥25 dB HL) aged 18 to 74 years from various Hispanic/Latino backgrounds. We conducted a series of multivariable logistic regression models examining the roles of independent variables of interest representing predisposing, enabling, and need indicators on the occurrence of clinically-significant self-perceived hearing handicap (e.g., HHI-S score > 8).
RESULTS: Among included participants, 953 (14.5%) had an HHI-S score >8. The final model revealed significant associations between predisposing characteristics, enabling resources, need, and HHI-S outcome. Predisposing characteristics and need factors were associated with higher odds of reporting self-perceived hearing handicap (HHI-S score >8) including acculturation as measured by the Short Acculturation Scale for Hispanics (odds ratio [OR] = 1.28, 95% confidence interval [CI]: 1.09-1.50), female sex (OR = 1.72, 95% CI: 1.27-2.33), and poorer worse ear 500, 1000, 2000, and 4000 Hz PTA (OR = 1.02, 95% CI: 1.01-1.03); suggesting that a 5-decibel increase in a person's PTA was consistent with 10% higher odds of a HHI-S score of >8. Greater enabling resources were associated with lower odds of reporting clinically-significant self-perceived hearing handicap: compared with individuals with income <$10,000/year, the multivariable-adjusted OR among individuals with income $40,000 to $7500/year was 0.55 (95% CI: 0.33-0.89) and among individuals with income >$75,000/year was 0.28 (95% CI: 0.13-0.59]; p-trend < 0.0001).
CONCLUSIONS: Our findings suggest there are associations between predisposing, enabling and need variables consistent with the Aday-Andersen model and self-perceived hearing handicap among adults from Hispanic/Latino background. The influence of language and culture on perceived hearing loss and associated handicap is complex, and deserves more attention in future studies. Our findings warrant further investigation into understanding the role of language and language access in hearing health care utilization and outcomes, as the current body of literature is small and shows mixed outcomes.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 33625058      PMCID: PMC8222057          DOI: 10.1097/AUD.0000000000000995

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.562


  45 in total

1.  Language spoken and differences in health status, access to care, and receipt of preventive services among US Hispanics.

Authors:  C Annette DuBard; Ziya Gizlice
Journal:  Am J Public Health       Date:  2008-09-17       Impact factor: 9.308

Review 2.  Defining and measuring acculturation: a systematic review of public health studies with Hispanic populations in the United States.

Authors:  Maria D Thomson; Laurie Hoffman-Goetz
Journal:  Soc Sci Med       Date:  2009-06-13       Impact factor: 4.634

3.  Hearing loss prevalence and risk factors among older adults in the United States.

Authors:  Frank R Lin; Roland Thorpe; Sandra Gordon-Salant; Luigi Ferrucci
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2011-02-27       Impact factor: 6.053

4.  Cross-cultural adaptation of the hearing handicap inventory for the Elderly-Screening Version (HHIE-S) for use with Spanish-speaking Mexican Americans.

Authors:  M J Lichtenstein; H P Hazuda
Journal:  J Am Geriatr Soc       Date:  1998-04       Impact factor: 5.562

5.  Acculturation and the probability of use of health services by Mexican Americans.

Authors:  K B Wells; J M Golding; R L Hough; M A Burnam; M Karno
Journal:  Health Serv Res       Date:  1989-06       Impact factor: 3.402

6.  The association of hearing impairment and chronic diseases with psychosocial health status in older age.

Authors:  Sophia E Kramer; Theo S Kapteyn; Dirk J Kuik; Dorly J H Deeg
Journal:  J Aging Health       Date:  2002-02

7.  Test-retest reliability of the hearing handicap inventory for adults.

Authors:  C W Newman; B E Weinstein; G P Jacobson; G A Hug
Journal:  Ear Hear       Date:  1991-10       Impact factor: 3.570

8.  Unmet hearing health care needs: the Beaver Dam offspring study.

Authors:  Scott D Nash; Karen J Cruickshanks; Guan-Hua Huang; Barbara E K Klein; Ronald Klein; F Javier Nieto; Theodore S Tweed
Journal:  Am J Public Health       Date:  2013-04-18       Impact factor: 9.308

9.  Normality tests for statistical analysis: a guide for non-statisticians.

Authors:  Asghar Ghasemi; Saleh Zahediasl
Journal:  Int J Endocrinol Metab       Date:  2012-04-20

10.  Self-reported hearing difficulties, main income sources, and socio-economic status; a cross-sectional population-based study in Sweden.

Authors:  Pernilla Videhult Pierre; Anders Fridberger; Anders Wikman; Kristina Alexanderson
Journal:  BMC Public Health       Date:  2012-10-15       Impact factor: 3.295

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