Change in health literacy over a decade in a prospective cohort of community-dwelling older adults

BACKGROUND: Health literacy is often viewed as a static trait in longitudinal studies, which may over or underestimate an individual’s ability to manage one’s health. OBJECTIVES: We sought to examine health literacy over time among older adults using three widely used measures. DESIGN: A prospective cohort study. PARTICIPANTS: Community-dwelling adults ages 55 to 74 at baseline with at least one follow-up visit (N = 656) recruited from one academic internal medicine clinic and six community health centers in Chicago, IL. MEASURES: Health literacy was measured using the Test of Functional Health Literacy in Adults (TOFHLA), Newest Vital Sign (NVS), and Rapid Estimate of Adult Literacy in Medicine (REALM) at baseline and up to three follow-up time points. RESULTS: In unadjusted analyses, significant changes since baseline were found beginning at the second follow-up (mean (M) = 6.0 years, SD = 0.6) for the TOFHLA (M = − 0.9, SD = 0.95, p = 0.049) and the REALM (M = 0.3, SD = 2.5, p = 0.004) and at the last follow-up (M = 8.6 years, SD = 0.5) for the NVS (M = − 0.2, SD = 1.4, p = 0.02). There were non-linear effects of baseline age on TOFHLA and NVS scores over time (piecewise cubic spline p = 0.01 and p < 0.001, respectively) and no effect on REALM scores (B = 0.02, 95% CI − 0.01 to 0.04, p = 0.17) using multivariable mixed-effects linear regression models, controlling for race, education, income, and comorbidity. CONCLUSION: We found a negative relationship between age and health literacy over time as measured by the TOFHLA and NVS. Health literacy barriers appear to be more prevalent among individuals in later life, when self-care demands are similarly increasing. Clinicians might consider strategies to assess and respond to limited health literacy, particularly among patients 70 and older. REALM performance remained stable over 10 years of follow-up. This questions whether health literacy tools measure the same attribute. Prospective health literacy studies should carefully consider what measures to use, depending on their objective

Title Page Dissociation of Hyperglycemia from Altered Vascular Contraction and Relaxation Mechanisms in Caveolin-1 Null Mice Running Title Page Running Title: Glycemic and Vascular Dysfunction in Cav-1 Deficiency

cav-1 -/-&lt;WT; endothelium removal, the NOS blocker L-NAME or soluble guanylate cyclase (sGC) inhibitor ODQ enhanced Phe contraction, and metformin blunted this effect. Acetylcholine (ACh)-induced relaxation was in cav-1 -/-&gt;WT, abolished by endotheliumremoval, L-NAME or ODQ, and reduced with metformin. NO donor sodium nitroprusside was more potent in inducing relaxation in cav-1 -/-than WT, and metformin reversed this effect. Aortic eNOS, AMPK and sGC were in cav-1 -/-&gt;WT, and metformin decreased total and phosphorylated eNOS and AMPK in cav-1 -/-. Thus metformin inhibits both vascular contraction and NO-cGMP-dependent relaxation, but does not affect BP or blood glucose in cav-1 -/-mice, suggesting dissociation of hyperglycemia from altered vascular function in cav-1 deficiency states. JPE

Perceived Adequacy of Tangible Support during Stay-at-Home Orders in Chicago and New York

Objectives: Physical distancing precautions during the COVID-19 pandemic may challenge the provision of tangible support many middle age and older adults receive in managing their health. We examined the association between unmet tangible support needs and self-management behaviors and mental health status during the stay-at-home orders in Chicago and New York. Methods: We used data from the COVID-19 & Chronic Conditions study collected between May 1st and May 22nd, 2020. A total of 801 middle age and older adults with ≥1 chronic condition in Chicago and New York City completed the telephone interview. Adequacy of tangible social support was measured using a brief, validated scale that determined whether an individual needed assistance managing his or her health, and if yes, whether this need was met. Participants reported their level of difficulty engaging in self-management behaviors using 2 discrete items; they also self-reported medication adherence using the ASK-12 medication adherence scale. Mental health status was measured using the depression and anxiety PROMIS short-form instruments. Results: Participants’ mean age was 63 years; 30% identified as Black, 26% identified as Latino, and 12% identified unmet support needs. Inadequacy of tangible support was associated with greater difficulty managing one’s health and accessing medications due to COVID-19, as well as poorer medication adherence, increased anxiety and depressive symptoms, and poorer overall well-being ( P ’s < .05). Conclusions: Perceived unmet support needs during stay-at-home orders were associated with greater difficulty engaging in self-management behaviors and poorer overall well-being. Two brief items quickly identified individuals with unmet support needs

Impact of COVID-19 on the capacity to self-manage health and chronic conditions

Objective: To investigate well-being, lifestyle behaviors, self-management capacity and healthcare utilization among adults with chronic conditions at the outbreak of the COVID-19 pandemic. Methods: Data was collected from two interviewer-administered telephone surveys conducted between March 27 – May 22, 2020. Participants were patients at Chicago-area clinics. Self-report and validated measures were used for study-related outcomes. Results: A total of 553 participants (age range 23–88) completed data collection at both timepoints. One in five (20.7%) participants experienced stress due to the coronavirus most or all the time and rates of negative well-being were high (WHO-5 Index mean = 58.7%). Almost a quarter (22.3%) engaged in hazardous drinking and 79.7% reported insufficient physical activity. Nearly one in four participants (23.7%) avoided seeking medical care due to worry about COVID-19. In multivariable analyses, greater COVID-19 related stress was associated with less physical activity, lower self-efficacy, greater difficulty managing health and medications, and delays in seeking medical care due to the coronavirus. Conclusions: Mental well-being, lifestyle behaviors, self-management capacity, and healthcare utilization were impacted in the months following the COVID outbreak. Innovation: These findings suggest health systems should implement proactive measures for detecting and treating emotional and behavioral COVID-related concerns