{"doi":"10.1002/lary.70178","title":"Effects of Marital Status on Cochlear Implant Outcomes","abstract":"OBJECTIVE: To examine the association between marital status and post-CI speech recognition and hearing-related QoL in adult CI users, and to explore how this relationship interacts with key sociodemographic factors, including sex, employment, and residential location, and device usage (datalogging). METHODS: Retrospective cohort analysis of prospectively collected data (2018-2024) from 604 postlingually deafened adults undergoing unilateral cochlear implantation. Outcomes were speech recognition (AzBio, CNC) and hearing-related QoL (CIQOL), collected at 6 or 12 months post-CI. RESULTS: Unmarried users had significantly poorer speech recognition outcomes (CNC [95% CI -15.2 to -5.5], AzBio quiet (AzBioQ) [95% CI -15.2 to -2.8]) compared to married users when controlling for key clinical covariates. No significant differences were observed in CIQOL scores. There were positive nonsignificant interactions between marital status and sex (β, 9.33, [95% CI -3.44 to 22.12]), employment status (β, 8.52, [95% CI -6.47-23.51]), and residential location (β, 12.96, [95% CI -0.54-26.46]) on AzBioQ. The benefits of marriage were stronger among women, full-time employed individuals, and rural residents than among men, those not in full-time employment, and urban residents. Marital status also significantly interacted with device usage (β, 1.70, [95% CI 0.11-3.28]). The relationship between device usage and AzBioQ was stronger in married individuals, suggesting a greater protective effect of marriage in individuals with higher device usage. CONCLUSION: Marital status predicts CI speech recognition outcomes through both its main effect and its interaction with three additional sociodemographic factors and device usage. Recognizing this significant impact can help guide clinical counseling and inform the importance of social relationships.","journal":"The Laryngoscope","year":2025,"id":576581,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":0.0,"corpus_rank":10062,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5439,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":4.1667,"fair_percentile":4.891470498318557,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1485830,"name":"John Doran","orcid":null,"position":1,"is_corresponding":false},{"id":746381,"name":"Katelyn A. 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A bare URL is not persistent: it is the single most common cause of a dead data link five years after publication. For clinical / human-subjects data, deposit in dbGaP or the European Genome-phenome Archive (EGA).","Deposit the data in a repository registered in re3data/FAIRsharing (a domain repository such as GEO, SRA, dbGaP, PRIDE, or a generalist such as Zenodo, Dryad, Dataverse) and name it explicitly in the paper. A lab website is not an archive: it has no retention commitment and no accession. For clinical / human-subjects data, deposit in dbGaP or the European Genome-phenome Archive (EGA).","Remove the precondition or justify it. Release the data at publication with no embargo, no registration wall, and no approval step — NIH's zero-embargo public- access rule (NOT-OD-25-101) has already made 'available at publication' the federal baseline for the article; the data should not lag behind it. 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Cite the clinical / human-subjects repository accession (e.g. from dbGaP or the European Genome-phenome Archive (EGA)) in the reference list."],"model":"deepseek/deepseek-v4-flash","agent_version":"fair_agent_v8","fulltext_source":"epmc_xml"},"fair_model":"deepseek/deepseek-v4-flash","fair_agent_version":"fair_agent_v8","fair_fulltext_source":"epmc_xml","fair_has_llm":true,"fair_computed_at":"2026-07-20T13:55:06.882566Z","clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}