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Propensity score weighted associations between financial strain and subsequent inflammatory biomarkers of aging among a representative sample of U.S. older adults.
Samuel, Laura J; Hladek, Melissa; Tian, Jing; Roberts Lavigne, Laken C; LaFave, Sarah E; Szanton, Sarah L.
Afiliación
  • Samuel LJ; Johns Hopkins University School of Nursing, 525 North Wolfe St., Baltimore, MD, 21205, USA. lsamuel@jhmi.edu.
  • Hladek M; Johns Hopkins University School of Nursing, 525 North Wolfe St., Baltimore, MD, 21205, USA.
  • Tian J; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Roberts Lavigne LC; Johns Hopkins University School of Nursing, 525 North Wolfe St., Baltimore, MD, 21205, USA.
  • LaFave SE; Johns Hopkins University School of Nursing, 525 North Wolfe St., Baltimore, MD, 21205, USA.
  • Szanton SL; Johns Hopkins University School of Nursing, 525 North Wolfe St., Baltimore, MD, 21205, USA.
BMC Geriatr ; 22(1): 467, 2022 05 31.
Article en En | MEDLINE | ID: mdl-35641938
BACKGROUND: Despite known socioeconomic disparities in aging-related outcomes, the underlying physiologic mechanisms are understudied. This study applied propensity score weighting to estimate the effect of financial strain on inflammation-related aging biomarkers among a national sample of older adults. METHODS: Financial strain severe enough to lack money for housing, utilities, medical/prescription bills or food was measured among 4,593 community-dwelling National Health and Aging Trends Study participants aged ≥ 65 years in 2016. Inverse probability propensity score weights were generated based on 2015 background characteristics, including age, gender, race/ethnicity, income to poverty ratio, education, occupation, home ownership, retirement, Sect. 8 housing, Medicaid, food/energy assistance, childhood health, marital status, and U.S. region. Sampling weights additionally accounted for study design and non-response. RESULTS: In propensity score-weighted analyses adjusting for age, gender, race/ethnicity, 2017 income to poverty ratio and education, those with 2016 financial strain had 15% higher IL-6 (p = 0.026) and 20% higher CRP levels (p = 0.002) in 2017 than those who were not strained, but did not differ with regard to hemoglobin A1c or CMV. In weighted comparisons, those with financial strain did not differ from those without with regard any 2015 background characteristics. CONCLUSIONS: These results strengthen the etiologic evidence suggesting that financial strain increases inflammatory biomarkers among older adults. Importantly, inflammation is likely a key physiologic pathway contributing to socioeconomic disparities. Therefore, research is needed to address financial strain.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Envejecimiento / Inflamación Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Risk_factors_studies Límite: Aged / Child / Humans País/Región como asunto: America do norte Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Envejecimiento / Inflamación Tipo de estudio: Diagnostic_studies / Health_economic_evaluation / Risk_factors_studies Límite: Aged / Child / Humans País/Región como asunto: America do norte Idioma: En Revista: BMC Geriatr Asunto de la revista: GERIATRIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido