RESUMO
Cannabis use among older Americans is increasing. Although much of this growth has been attributed to the entry of a more tolerant baby boom cohort into older age, recent evidence suggests the pathways to cannabis are more complex. Some older persons have responded to changing social and legal environments and are increasingly likely to take cannabis recreationally. Other older persons are experiencing age-related health care needs, and some take cannabis for symptom management, as recommended by a medical doctor. Whether these pathways to recreational and medical cannabis are separate or somewhat tangled remains largely unknown. There have been few studies examining cannabis use among the growing population of Americans aged 65 and older. In this essay, we illuminate what is known about the intersection between cannabis and the aging American population. We review trends concerning cannabis use and apply the age-period-cohort paradigm to explicate varied pathways and outcomes. Then, after considering the public health problems posed by those who misuse or abuse cannabis, we turn our attention to how cannabis may be a viable policy alternative in terms of supporting the health and well-being of a substantial number of aging Americans. On the one hand, cannabis may be an effective substitute for prescription opioids and other misused medications; on the other hand, cannabis has emerged as an alternative for the undertreatment of pain at the end of life. As intriguing as these alternatives may be, policy makers must first address the need for empirically driven, representative research to advance the discourse.
Assuntos
Política de Saúde , Abuso de Maconha , Uso da Maconha , Manejo da Dor/métodos , Saúde Pública , Idoso , Terapias Complementares/métodos , Uso Indevido de Medicamentos , Prescrições de Medicamentos , Feminino , Humanos , Masculino , Abuso de Maconha/epidemiologia , Abuso de Maconha/etiologia , Abuso de Maconha/prevenção & controle , Abuso de Maconha/psicologia , Uso da Maconha/epidemiologia , Uso da Maconha/psicologia , Pessoa de Meia-Idade , Saúde Pública/legislação & jurisprudência , Saúde Pública/métodos , Saúde Pública/estatística & dados numéricos , Problemas Sociais/prevenção & controle , Problemas Sociais/psicologia , Estados Unidos/epidemiologiaAssuntos
Fibrilação Atrial/tratamento farmacológico , Dabigatrana/uso terapêutico , Custos Hospitalares , Medicare/economia , Admissão do Paciente/economia , Rivaroxabana/uso terapêutico , Varfarina/uso terapêutico , Idoso , Antitrombinas/economia , Antitrombinas/uso terapêutico , Fibrilação Atrial/complicações , Fibrilação Atrial/economia , Dabigatrana/economia , Inibidores do Fator Xa/economia , Inibidores do Fator Xa/uso terapêutico , Feminino , Humanos , Masculino , Rivaroxabana/economia , Acidente Vascular Cerebral/etiologia , Acidente Vascular Cerebral/prevenção & controle , Estados Unidos , Varfarina/economiaRESUMO
BACKGROUND: Self-rated health taps health holistically and dynamically blends prior health histories with current illness burdens and expectations for future health. While consistently found as an independent predictor of functional decline, sentinel health events, physician visits, hospital episodes, and mortality, much less is known about intra-individual changes in self-rated health across the life course, especially for African Americans. MATERIALS/METHODS: Data on 998 African American men and women aged 50-64 years old were taken from a probability-based community sample that was first assessed in 2000-2001 and re-assessed 1, 2, 3, 4, 7, and 9 years later. Using an innovative approach for including decedents in the analysis, semi-parametric group-based mixture models were used to identify person-centered group trajectories of self-rated health over time. Multivariable multinomial logistic regression analysis was then used to differentiate the characteristics of AAH participants classified into the different group trajectories. RESULTS: Four self-rated health group trajectories were identified: persistently good health, good but declining health, persistently fair health, and fair but declining health. The main characteristics that differentiated the self-rated health trajectory groups from each other were age, education, smoking, morbidity (angina, congestive heart failure, diabetes, and kidney disease), having been hospitalized in the year prior to baseline, depressive symptoms, mobility limitations, and initial self-rated health. CONCLUSIONS: This is the first study to examine self-rated health trajectories separately among African Americans. Four qualitatively distinct self-rated health group trajectories were identified that call into question the accuracy of prior reports that a single, average self-rated health trajectory for African Americans adequately captures their within-group heterogeneity.