55 research outputs found

    Longitudinal Associations Between Cognitive Functioning and Depressive Symptoms Among Couples in the Mexican Health and Aging Study

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    OBJECTIVE: To examine the bidirectional associations between older adult spouses\u27 cognitive functioning and depressive symptoms over time and replicate previous findings from the United States (US) in Mexico. DESIGN: Longitudinal, dyadic path analysis with the actor-partner interdependence model. SETTING: Data were from the three most recent interview waves (2012, 2015, and 2018) of the Mexican Health and Aging Study (MHAS), a longitudinal national study of adults aged 50+ years in Mexico. PARTICIPANTS: Husbands and wives from 905 community-dwelling married couples (N = 1,810). MEASUREMENTS: The MHAS cognitive battery measured cognitive function. Depressive symptoms were assessed using a modified nine-item Center for Epidemiologic Studies Depression Scale. Baseline covariates included age, education, number of children, limitation with any activity of daily living, limitation with any instrumental activity of daily living, and pain. RESULTS: As hypothesized, there were significant within-individual associations in which one person\u27s own cognitive functioning and own depressive symptoms predicted their own follow-up cognitive functioning and depressive symptoms, respectively. In addition, a person\u27s own cognitive functioning predicted their own depressive symptoms, and a person\u27s own depressive symptoms predicted their own cognitive functioning over time. As hypothesized, there was a significant partner association such that one person\u27s depressive symptoms predicted more depressive symptoms in the partner. CONCLUSION: Findings from this study of older Mexican couples replicates findings from studies of older couples in the US, showing that depressive symptoms in one partner predict depressive symptoms in the other partner over time; however, there was no evidence for cognition-depression partner associations over time

    Individualized Absolute Risk Calculations for Persons with Multiple Chronic Conditions: Embracing Heterogeneity, Causality, and Competing Events

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    Approximately 75% of adults over the age of 65 years are affected by two or more chronic medical conditions. We provide a conceptual justification for individualized absolute risk calculators for competing patient-centered outcomes (PCO) (i.e. outcomes deemed important by patients) and patient reported outcomes (PRO) (i.e. outcomes patients report instead of physiologic test results). The absolute risk of an outcome is the probability that a person receiving a given treatment will experience that outcome within a pre-defined interval of time, during which they are simultaneously at risk for other competing outcomes. This allows for determination of the likelihood of a given outcome with and without a treatment. We posit that there are heterogeneity of treatment effects among patients with multiple chronic conditions (MCC) largely depends on those coexisting conditions. We outline the development of an individualized absolute risk calculator for competing outcomes using propensity score methods that strengthen causal inference for specific treatments. Innovations include the key concept that any given outcome may or may not concur with any other outcome and that these competing outcomes do not necessarily preclude other outcomes. Patient characteristics and MCC will be the primary explanatory factors used in estimating the heterogeneity of treatment effects on PCO and PRO. This innovative method may have wide-spread application for determining individualized absolute risk calculations for competing outcomes. Knowing the probabilities of outcomes in absolute terms may help the burgeoning population of patients with MCC who face complex treatment decisions

    Chronic obstructive pulmonary disease in older persons: A comparison of two spirometric definitions

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    SummaryBackgroundAmong older persons, we previously endorsed a two-step spirometric definition of chronic obstructive pulmonary disease (COPD) that requires a ratio of forced expiratory volume in 1sec to forced vital capacity (FEV1/FVC) below .70, and an FEV1 below the 5th or 10th standardized residual percentile (“SR-tile strategy”).ObjectiveTo evaluate the clinical validity of an SR-tile strategy, compared to a current definition of COPD, as published by the Global Initiative for Obstructive Lung Disease (GOLD-COPD), in older persons.MethodsWe assessed national data from 2480 persons aged 65–80 years. In separate analyses, we evaluated the association of an SR-tile strategy with mortality and respiratory symptoms, relative to GOLD-COPD. As per convention, GOLD-COPD was defined solely by an FEV1/FVC<.70, with severity staged according to FEV1 cut-points at 80 and 50 percent predicted (%Pred).ResultsAmong 831 participants with GOLD-COPD, the risk of death was elevated only in 179 (21.5%) of those who also had an FEV1<5th SR-tile; and the odds of having respiratory symptoms were elevated only in 310 (37.4%) of those who also had an FEV1<10th SR-tile. In contrast, GOLD-COPD staged at an FEV1 50–79%Pred led to misclassification (overestimation) in terms of 209 (66.4%) and 77 (24.6%) participants, respectively, not having an increased risk of death or likelihood of respiratory symptoms.ConclusionRelative to an SR-tile strategy, the majority of older persons with GOLD-COPD had neither an increased risk of death nor an increased likelihood of respiratory symptoms. These results raise concerns about the clinical validity of GOLD guidelines in older persons

    Ethnic differences in respiratory impairment

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    Objective Spirometric Z scores by lambda-mu-sigma (LMS) rigorously account for age-related changes in lung function. Recently, the Global Lung Function Initiative (GLI) expanded LMS spirometric Z scores to multiple ethnicities. Hence, in aging populations, the GLI provides an opportunity to rigorously evaluate ethnic differences in respiratory impairment, including airflow limitation and restrictive pattern. Methods Using data from the Third National Health and Nutrition Examination Survey, including participants aged 40-80, we evaluated ethnic differences in GLI-defined respiratory impairment, including prevalence and associations with mortality and respiratory symptoms. Results Among 3506 white Americans, 1860 African Americans and 1749 Mexican Americans, the prevalence of airflow limitation was 15.1% (13.9% to 16.4%), 12.4% (10.7% to 14.0%) and 8.2% (6.7% to 9.8%), and restrictive pattern was 5.6% (4.6% to 6.5%), 8.0% 6.9% to 9.0%) and 5.7% (4.5% to 6.9%), respectively. Airflow limitation was associated with mortality in white Americans, African Americans and Mexican Americans - adjusted HR (aHR) 1.66 (1.23 to 2.25), 1.60 (1.09 to 2.36) and 1.80 (1.17 to 2.76), respectively, but associated with respiratory symptoms only in white Americans - adjusted OR (aOR) 2.15 (1.70 to 2.73). Restrictive pattern was associated with mortality but only in white Americans and African Americans - aHR 2.56 (1.84 to 3.55) and 3.23 (2.06 to 5.05), and associated with respiratory symptoms but only in white Americans and Mexican Americans-aOR 2.16 (1.51 to 3.07) and .12 (1.45 to 3.08), respectively. Conclusions In an aging population, we found ethnic differences in GLI-defined respiratory impairment. In particular, African Americans had high rates of respiratory impairment that were associated with mortality but not respiratory symptoms

    Health Outcome Effects of Common Medications in Elders With Multiple Conditions

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    Background/Aims: Determining medication effects is more complex in individuals with multiple chronic conditions (MCC). One approach to addressing these limitations is to define effectiveness through the use of cross-condition, universal health outcomes such as self-reported health (SRH). Appropriate methodology is needed to evaluate medication effects in the setting of MCC. Methods: We studied 9 commonly used oral medications from national disease guidelines (renin-angiotensin system blockers (RAS), statins, thiazides, calcium channel blockers, selective serotonin reuptake inhibitors, metformin, warfarin and clopidogrel) recommended for 8 common chronic conditions (atrial fibrillation, coronary artery disease, depression or anxiety, diabetes mellitus, heart failure, hyperlipidemia, hypertension and pulmonary embolism/venous thrombosis) and used by at least 20% of 8,517 Medicare Current Beneficiary Survey enrollees with two or more MCC from 2005–2009 with follow-up data available through 2011. We estimated the odds of high SRH (good-excellent) of the most commonly used medications for 8 common and morbid chronic conditions, adjusted for 14 covariates and accounting for within-subject correlation. For absolute population level estimates, we applied the longitudinal extension of the average-attributable-fraction with time-varying conditions on recurrent SRH. Results: The most common dyads of conditions at baseline were hypertension and hyperlipidemia, with 71.3% (6,073 of 8,517). On average, 11.3% (96 of 8,517) discontinued a medication over the 3-year follow-up period, whereas 6.9% (588 of 8,517) started a new medication. All the conditions except atrial fibrillation were significantly associated with poorer SRH; pulmonary embolism/venous thrombosis had borderline significance. Hyperlipidemia had significantly higher odds of high SRH. There were four significant condition-medication interaction terms. Regarding participants with hypertension, the odds of high SRH for people who take RAS blockers were greater than those who do not. Conversely, the odds of high SRH for people who take thiazide for hypertension are lower than those who do not. The odds of reporting high SRH for people taking statins is higher than those not taking statins within the hyperlipidemia subpopulation. The odds of high SRH among people who have coronary artery disease is lower in those who take clopidogrel than those who do not. Discussion: Medication effects on universal health outcomes provide a way to compare across conditions
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