Background
The broad concept of health as “the ability to adapt and self‐manage in the face of social, physical and emotional challenges” has been operationalized by “Positive Health,” a framework ...increasingly used in the Netherlands. We explored to what degree the impact of the COVID‐19 pandemic and preventive measures on Positive Health differed between community‐dwelling older adults without, with mild and with complex health problems, as well as differences flowing from their use of preventive measures.
Methods
During the second wave in the Netherlands (November 2020–February 2021), a convenience sample of adults aged ≥65 years completed an online questionnaire. Positive Health impact was measured based on self‐reported change of current health status, across six dimensions, compared to before the pandemic (decreased/unchanged/increased). The complexity of health problems (past month) was assessed using the validated ISCOPE tool, comparing subgroups without, with mild or with complex health problems. High use of preventive measures was defined as ≥9 of 13 measures and compared to low use (<9 measures).
Results
Of the 2397 participants (median age 71 years, 60% female, and 4% previous COVID‐19 infection), 31% experienced no health problems, 55% mild health problems, and 15% complex health problems. Overall, participants reported a median decrease in one Positive Health dimension (IQR 1–3), most commonly in social participation (68%). With an increasing complexity of health problems, subjective Positive Health declined more often across all six dimensions, ranging from 3.3% to 57% in those without, from 22% to 72% in those with mild, and from 47% to 75% in those with complex health problems (p‐values for trend <0.001; independent of age and sex). High users of preventive measures more often experienced declined social participation (72% vs. 62%, p < 0.001) and a declined quality of life (36% vs. 30%, p = 0.007) than low users, especially those with complex health problems.
Conclusion
As the complexity of health problems increased, the adverse impact of the COVID‐19 pandemic and related preventive measures was experienced more frequently across all dimensions of Positive Health. Acknowledging this heterogeneity is pivotal to the effective targeting of prevention and healthcare to those most in need.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
We sought to determine which facets of sleep neurophysiology were most strongly linked to cognitive performance in 3,819 older adults from two independent cohorts, using whole-night ...electroencephalography. From over 150 objective sleep metrics, we identified 23 that predicted cognitive performance, and processing speed in particular, with effects that were broadly independent of gross changes in sleep quality and quantity. These metrics included rapid eye movement duration, features of the electroencephalography power spectra derived from multivariate analysis, and spindle and slow oscillation morphology and coupling. These metrics were further embedded within broader associative networks linking sleep with aging and cardiometabolic disease: individuals who, compared with similarly aged peers, had better cognitive performance tended to have profiles of sleep metrics more often seen in younger, healthier individuals. Taken together, our results point to multiple facets of sleep neurophysiology that track coherently with underlying, age-dependent determinants of cognitive and physical health trajectories in older adults.
Objectives
Previous findings suggest a vascular foundation underlying apathy, but transdiagnostic and prospective evidence on vascular apathy is scarce. This study examines the association between ...vascular disease and the presence and development of apathy symptoms in the very old.
Methods
Four cohorts of the Towards Understanding Longitudinal International older People Studies (TULIPS)‐consortium were included in a two‐staged, individual participant data meta‐analysis using generalized linear mixed models. Vascular disease was defined as a history of any clinical atherosclerotic pathology (angina pectoris, myocardial infarction, intermittent claudication, transient ischemic attack, stroke or related surgeries) and was related to apathy symptoms as repeatedly measured by the Geriatric Depression Scale (GDS‐3A ≥2) over a maximum of 5 years.
Results
Of all 1868 participants (median age 85 years old), 53.9% had vascular disease and 44.3% experienced apathy symptoms. Participants with vascular disease had a 76% higher risk of apathy symptoms at baseline (odds ratio (OR) 1.76, 95% confidence interval (CI) 1.32–2.35), irrespective of depressive symptoms and only partially explained by stroke. Conversely, there was no association of vascular disease with the occurrence of apathy symptoms longitudinally, both in those with apathy at baseline (OR 1.00, 95% CI 0.84–1.20) and without (OR 0.96, 95% CI 0.84–1.09).
Conclusions
Vascular disease in the very old is associated with apathy symptoms cross‐sectionally, but not proven longitudinally, independent of depressive symptoms. These findings query a vascular cause underlying apathy symptoms. However, the consistency of our cross‐sectional findings in direction and magnitude across the TULIPS‐consortium do emphasize international relevance of the interplay of vascular factors and apathy in advanced age, which meaning needs further unravelling.
Key points
Apathy symptoms are a common burden in the very old population of which the complex pathophysiology is yet to be unraveled.
Vascular disease might predispose older adults to developing apathy, but prospective evidence on a vascular origin for apathy in old age remains scarce.
Vascular disease is consistently associated with increased risk of concurrent apathy symptoms, but there is no evidence for influence on future apathy symptoms in the very old.
Optimizing cardiovascular disease (CVD) management to attempt to prevent apathy may not be warranted, at least in the very old.
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FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
Abstract
Background
In the general population, an increase in low-density lipoprotein cholesterol (LDL-C) predicts higher cardiovascular disease risk, and lowering LDL-C can prevent cardiovascular ...disease and reduces mortality risk. Interestingly, in cohort studies that include very old populations, no or inverse associations between LDL-C and mortality have been observed. This study aims to investigate whether the association between LDL-C and mortality in the very old is modified by a composite fitness score.
Methods
A 2-stage meta-analysis of individual participant data from the 5 observational cohort studies. The composite fitness score was operationalized by performance on a combination of 4 markers: functional ability, cognitive function, grip strength, and morbidity. We pooled hazard ratios (HR) from Cox proportional-hazards models for 5-year mortality risk for a 1 mmol/L increase in LDL-C. Models were stratified by high/low composite fitness score.
Results
Composite fitness scores were calculated for 2 317 participants (median 85 years, 60% females participants), of which 994 (42.9%) had a high composite fitness score, and 694 (30.0%) had a low-composite fitness score. There was an inverse association between LDL-C and 5-year mortality risk (HR 0.87 95% CI: 0.80–0.94; p < .01), most pronounced in participants with a low-composite fitness score (HR 0.85 95% CI: 0.75–0.96; p = .01), compared to those with a high composite fitness score (HR = 0.98 95% CI: 0.83–1.15; p = .78), the test for subgroups differences was not significant.
Conclusions
In this very old population, there was an inverse association between LDL-C and all-cause mortality, which was most pronounced in participants with a low-composite fitness scores.
While randomized controlled trials have proven the benefits of blood pressure (BP) lowering in participating octogenarians, population-based observational studies suggest an association between low ...systolic blood pressure (SBP) and faster overall decline. This study investigates the effects of BP-lowering treatment, a history of cardiovascular diseases (CVD), and cognitive and physical fitness on the associations between SBP and health outcomes in the very old.
Five cohorts from the Towards Understanding Longitudinal International older People Studies (TULIPS) consortium were included in a two-step individual participant data meta-analysis (IPDMA). We pooled hazard ratios (HR) from Cox proportional-hazards models for 5-year mortality and estimates of linear mixed models for change in cognitive and functional decline. Models were stratified by BP-lowering treatment, history of CVD, Mini-Mental State Examination scores, grip strength (GS) and body mass index (BMI).
Of all 2480 participants (59.9% females, median 85 years), median baseline SBP was 149 mmHg, 64.3% used BP-lowering drugs and 47.3% had a history of CVD. Overall, higher SBP was associated with lower all-cause mortality (pooled HR 0.91 95% confidence interval 0.88-0.95 per 10 mmHg). Associations remained irrespective of BP-lowering treatment, history of CVD and BMI, but were absent in octogenarians with above-median MMSE and GS. In pooled cohorts, SBP was not associated with cognitive and functional decline.
While in the very old with low cognitive or physical fitness a higher SBP was associated with a lower all-cause mortality, this association was not evident in fit octogenarians. SBP was not consistently associated with cognitive and functional decline.
Literature relating older people's goals of care to their varying frailty status is scarce.
To investigate goals of care in case of acute and/or severe disease in relationship to frailty status among ...the general older population.
Older people aged ≥70 in the Netherlands completed a questionnaire. They were divided into three subgroups based on a self-reported Clinical Frailty Scale: fit (CFS 1-3), mildly frail (CFS 4-5) and severely frail (CFS 6-8). Seven goals were graded as unimportant (1-5), somewhat important (6-7) or very important (8-10): extending life, preserving quality of life (QoL), staying independent, relieving symptoms, supporting others, preventing hospital admission and preventing nursing home admission.
Of the 1,278 participants (median age 76 years, 63% female), 57% was fit, 32% mildly frail and 12% severely frail. Overall, participants most frequently considered preventing nursing home admission as very important (87%), followed by staying independent (84%) and preserving QoL (83%), and least frequently considered extending life as very important (31%). All frailty subgroups reported similar preferences out of the surveyed goals as the overall study population. However, participants with a higher frailty status attached slightly less importance to each individual goal compared with fit participants (Ptrend-values ≤ 0.037).
Preferred goals of care are not related to frailty status, while the importance ascribed to individual goals is slightly lower with higher frailty status. Future research should prioritise outcomes related to the shared goals of fit, mildly frail and severely frail older people to improve personalised medicine for older patients.
The COVID-19 pandemic has a large impact worldwide and is known to particularly affect the older population. This paper outlines the protocol for external validation of prognostic models predicting ...mortality risk after presentation with COVID-19 in the older population. These prognostic models were originally developed in an adult population and will be validated in an older population (≥ 70 years of age) in three healthcare settings: the hospital setting, the primary care setting, and the nursing home setting.
Based on a living systematic review of COVID-19 prediction models, we identified eight prognostic models predicting the risk of mortality in adults with a COVID-19 infection (five COVID-19 specific models: GAL-COVID-19 mortality, 4C Mortality Score, NEWS2 + model, Xie model, and Wang clinical model and three pre-existing prognostic scores: APACHE-II, CURB65, SOFA). These eight models will be validated in six different cohorts of the Dutch older population (three hospital cohorts, two primary care cohorts, and a nursing home cohort). All prognostic models will be validated in a hospital setting while the GAL-COVID-19 mortality model will be validated in hospital, primary care, and nursing home settings. The study will include individuals ≥ 70 years of age with a highly suspected or PCR-confirmed COVID-19 infection from March 2020 to December 2020 (and up to December 2021 in a sensitivity analysis). The predictive performance will be evaluated in terms of discrimination, calibration, and decision curves for each of the prognostic models in each cohort individually. For prognostic models with indications of miscalibration, an intercept update will be performed after which predictive performance will be re-evaluated.
Insight into the performance of existing prognostic models in one of the most vulnerable populations clarifies the extent to which tailoring of COVID-19 prognostic models is needed when models are applied to the older population. Such insight will be important for possible future waves of the COVID-19 pandemic or future pandemics.
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