{"doi":"10.17615/fkrb-g152","title":"Late life socioeconomic status and hypertension in an aging cohort: The Atherosclerosis Risk in Communities Study","abstract":"Objective: To investigate the association between individual and area-level socioeconomic status and hypertension risk among individuals later in life. Methods: We used Cox proportional hazards models to examine the association of socioeconomic status with incident hypertension using race-specific neighborhood socioeconomic status, median household income, and education among 3372 participants (mean age, 61 years) from the Atherosclerosis Risk in Communities Study at Visit 4 (1996-1998). Incident hypertension was defined as self-reported diagnosis or reported use of antihypertensive medications. Results: Over a median follow-up time of 9.4 years, there were 1874 new cases of hypertension (62.1 per 1000 person-years). Overall, being in high as compared with low socioeconomic status categories was associated with a lower risk of developing hypertension in late life, with hazard ratios (95% confidence intervals) of 0.87 (0.77-0.98) for high neighborhood socioeconomic status tertile, 0.79 (0.69-0.90) for high individual income, and 0.75 (0.63-0.89) for college education after adjustment for traditional risk factors. These findings were consistent and robust whenever accounting for competing risks of all-cause mortality. No significant interactions by race and age (dichotomized at age 65) were observed. Conclusion: Among participants free of hypertension in midlife, high neighborhood and individual socioeconomic status are associated with a decreased risk of incident hypertension. Our findings support population-level interventions, such as blood pressure screening at senior centers and faith-based organizations, that are tailored to shift the distribution of blood pressure and reduce hypertension health inequalities among older adults.","journal":"UNC Libraries","year":2024,"id":475885,"datarank":0.2833440119558284,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.07539985778784479,"self_endowment_contribution":0.20794415416798362,"citer_contribution":0.07539985778784479,"corpus_percentile":43.37433279183105,"corpus_rank":7321,"citation_count":3,"citer_count":3,"citers_with_citation_signal":2,"citers_with_endowment":2,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5382,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":362814,"name":"M. Maya McDoom","orcid":null,"position":1,"is_corresponding":false},{"id":814150,"name":"Priya Vart","orcid":"0000-0001-5576-820X","position":2,"is_corresponding":false},{"id":402436,"name":"Anna Kucharska‐Newton","orcid":"0000-0001-9864-467X","position":3,"is_corresponding":false},{"id":251227,"name":"Ana V. Diez Roux","orcid":"0000-0001-9658-7050","position":4,"is_corresponding":false},{"id":251616,"name":"Priit Palta","orcid":"0000-0001-9320-7008","position":5,"is_corresponding":false},{"id":291339,"name":"Stephen P. Juraschek","orcid":"0000-0003-4168-2696","position":6,"is_corresponding":false},{"id":1076199,"name":"Joseph Coresh","orcid":null,"position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T02:06:21.071690Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}