Sumbul Jafri, Daniel Berg, Mareike Buhl, Matthias Vormann, Samira Saak, Kirsten C Wagener, Christiane M Thiel, Andrea Hildebrandt, Birger Kollmeier
{"title":"奥尔登堡听力健康记录（OHHR）。","authors":"Sumbul Jafri, Daniel Berg, Mareike Buhl, Matthias Vormann, Samira Saak, Kirsten C Wagener, Christiane M Thiel, Andrea Hildebrandt, Birger Kollmeier","doi":"10.1038/s41597-025-05884-y","DOIUrl":null,"url":null,"abstract":"<p><p>Hearing health is shaped by both measurable auditory function and the perceived ability to navigate daily life. To fully understand its complexities, objective assessments of hearing and functional performance must be complemented by subjective reports on lived hearing experiences. The Oldenburg Hearing Health Record (OHHR) was developed to unite these measures, offering a comprehensive and open-access resource for hearing health. It contains data from 581 adults aged 18-86 years (255 females; mean age = 67.31 years; SD = 11.93) with varying degrees of hearing loss. Data were collected between 2013 and 2015 at the Hörzentrum Oldenburg in collaboration with Hearing4all. OHHR includes audiometric tests (Pure Tone Audiometry, Loudness Scaling, Speech in Noise tests), self-reports on hearing difficulties, lifestyle, technology use, and cognitive assessments (DemTect, Vocabulary size test). These measurements remain relevant in clinical and research settings. The dataset supports cross-disciplinary analyses linking hearing ability with cognition and quality of life, contributing to personalized hearing healthcare and advancing precision medicine.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"1546"},"PeriodicalIF":6.9000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443984/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Oldenburg Hearing Health Record (OHHR).\",\"authors\":\"Sumbul Jafri, Daniel Berg, Mareike Buhl, Matthias Vormann, Samira Saak, Kirsten C Wagener, Christiane M Thiel, Andrea Hildebrandt, Birger Kollmeier\",\"doi\":\"10.1038/s41597-025-05884-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Hearing health is shaped by both measurable auditory function and the perceived ability to navigate daily life. To fully understand its complexities, objective assessments of hearing and functional performance must be complemented by subjective reports on lived hearing experiences. The Oldenburg Hearing Health Record (OHHR) was developed to unite these measures, offering a comprehensive and open-access resource for hearing health. It contains data from 581 adults aged 18-86 years (255 females; mean age = 67.31 years; SD = 11.93) with varying degrees of hearing loss. Data were collected between 2013 and 2015 at the Hörzentrum Oldenburg in collaboration with Hearing4all. OHHR includes audiometric tests (Pure Tone Audiometry, Loudness Scaling, Speech in Noise tests), self-reports on hearing difficulties, lifestyle, technology use, and cognitive assessments (DemTect, Vocabulary size test). These measurements remain relevant in clinical and research settings. The dataset supports cross-disciplinary analyses linking hearing ability with cognition and quality of life, contributing to personalized hearing healthcare and advancing precision medicine.</p>\",\"PeriodicalId\":21597,\"journal\":{\"name\":\"Scientific Data\",\"volume\":\"12 1\",\"pages\":\"1546\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2025-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12443984/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Data\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1038/s41597-025-05884-y\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-025-05884-y","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Hearing health is shaped by both measurable auditory function and the perceived ability to navigate daily life. To fully understand its complexities, objective assessments of hearing and functional performance must be complemented by subjective reports on lived hearing experiences. The Oldenburg Hearing Health Record (OHHR) was developed to unite these measures, offering a comprehensive and open-access resource for hearing health. It contains data from 581 adults aged 18-86 years (255 females; mean age = 67.31 years; SD = 11.93) with varying degrees of hearing loss. Data were collected between 2013 and 2015 at the Hörzentrum Oldenburg in collaboration with Hearing4all. OHHR includes audiometric tests (Pure Tone Audiometry, Loudness Scaling, Speech in Noise tests), self-reports on hearing difficulties, lifestyle, technology use, and cognitive assessments (DemTect, Vocabulary size test). These measurements remain relevant in clinical and research settings. The dataset supports cross-disciplinary analyses linking hearing ability with cognition and quality of life, contributing to personalized hearing healthcare and advancing precision medicine.
期刊介绍：
Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data.
The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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