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This study aimed to examine the association of HL with socioeconomic status (SES), lifestyle, and health\u2010check\u2010up\u2010related factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This population\u2010based cross\u2010sectional study used data from the National Institute for Longevity Sciences Longitudinal Study of Aging collected in 2010\u20132012. HL was defined by the updated World Health Organization criteria, a four\u2010frequency (0.5, 1, 2, 4\u2009kHz) pure\u2010tone average\u2009\u2265\u200920\u2009dB in the better\u2010hearing ear. In order to evaluate the association of HL with SES, each lifestyle and health check\u2010up\u2010related factor, first, sex\u2010stratified binomial logistic regression analyses were performed, adjusted for age; then additional models were fitted, further adjusted for SES and occupational noise exposure.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 2325 individuals (50.6% male), mostly aged 40\u201379\u2009years, were included. In both sexes, the noise exposure history and glycated hemoglobin (HbA1c) \u2265\u20096.5% were associated with HL. In males, lower SES, smoking\u2010related indicators (history and high cumulative exposure), excessive alcohol consumption, and elevated diabetes\u2010related indicators and \u03b3\u2010glutamyl transpeptidase levels were associated with HL. Odds Ratios (ORs) for lower educational attainment and household income were 1.71 and 1.42, respectively, and OR for excessive alcohol consumption was 2.01 in the additional model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>HL was associated with lower SES, smoking, excessive alcohol consumption, and several metabolic factors, especially among males. Most of these factors are collected during health check\u2010ups. Health check\u2010up data may help to identify individuals at higher risk of HL.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/ggi.70664","type":"journal-article","created":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T10:10:57Z","timestamp":1785838257000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Associations of Hearing Loss Defined by Updated World Health Organization Criteria With Socioeconomic Status and Health Check\u2010Up\u2010Related Factors: A Population\u2010Based Cross\u2010Sectional Study in Japan"],"prefix":"10.1111","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4391-346X","authenticated-orcid":false,"given":"Yuri","family":"Akamatsu","sequence":"first","affiliation":[{"name":"Department of Epidemiology of Aging Research Institute, National Center for Geriatrics and Gerontology  Obu Japan"},{"name":"Department of Health Informatics, School of Public Health 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