Relationship between ideal cardiovascular health metrics and hearing loss: A 10-year retrospective cohort study

Clin Otolaryngol. 2022 Mar;47(2):304-312. doi: 10.1111/coa.13899. Epub 2021 Dec 2.

Abstract

Objective: The role of ideal cardiovascular health (CVH) metrics in developing hearing loss remains uncertain. Thus, our objective was to analyse the connection between hearing loss and ideal CVH metrics in a 10-year retrospective cohort.

Study design: Retrospective cohort study.

Setting: A health management centre in Taiwan.

Participants: Participants who underwent the first annual health check-up between 2000 and 2006 and with a follow-up check-up more than ten years later.

Main outcome measures: Hearing thresholds were measured at 500 Hz, 1000 Hz, 2000 Hz and 4000 Hz. Individuals with a best ear pure-tone audiometry four-frequency average of >25 dB HL were defined as having hearing loss. The ideal CVH metrics were classified into 7 categories based on the American Heart Association's definition. The associations of hearing loss with the sum of the ideal CVH metrics and each ideal CVH metric were examined by multiple logistic regression analysis.

Results: The present study consisted of 6974 participants. The 10-year follow-up showed that the odds ratio (OR) of hearing loss was .74 for participants with 5-7 ideal CVH metrics (95% CI, .59-.93, p = .01) compared with those with 0-2 ideal CVH metrics. Among the CVH metrics, participants with an ideal smoking status might have reduced odds of developing hearing loss; the OR was .72 (95% CI, .58-.89, p = .003).

Conclusions: Participants with an increased number of ideal CVH metrics and better performance on the smoking metric had a significantly protective effect regarding hearing loss development.

Keywords: cardiovascular health; hearing loss; risk factors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Cohort Studies
  • Female
  • Hearing Loss / etiology*
  • Heart Disease Risk Factors*
  • Humans
  • Male
  • Middle Aged
  • Quality Indicators, Health Care*
  • Retrospective Studies