It is unclear how older adults with chronic conditions, who have greater risk of alcohol-related adverse outcomes, used alcohol throughout the COVID-19 pandemic. We assess changes in hazardous ...drinking prevalence May 2020-December 2021 and factors associated with hazardous drinking.
Data are from structured phone interviews of older adults (age 60+) with chronic conditions (e.g., hypertension, diabetes, pulmonary disease, heart disease) in a Chicago-based longitudinal cohort (Chicago COVID-19 Comorbidities survey, Waves 3-7, n = 247). We tested differences in the prevalence of hazardous drinking (defined as AUDIT-C score of 3+ for women and 4+ for men) across waves for the full sample, by demographic group (sex, race, and ethnicity), and by chronic condition burden (<3 conditions, 3+ conditions). Generalized estimating equations investigated associations of hazardous drinking with sociodemographic and pandemic coping-related factors (stress, loneliness, outside contacts, depression, anxiety).
Participants were 66.8% female; 27.9% non-Hispanic Black, 14.2% Hispanic, 4.9% other race. Hazardous drinking was reported by 44.9% of participants in May 2020, but declined to 23.1% by July-August 2020 and continued to slowly decline to 19.4% by September-December 2021. Differences from May 2020 were significant at the 0.05 level. Subgroups followed similar trajectories. Hazardous drinking prevalence was initially higher but declined more among men than women, consistently higher among non-Hispanic White respondents than among Hispanic and non-Hispanic Black respondents, and declined more rapidly among adults with 3+ chronic conditions. In adjusted models, race and ethnicity were associated with lower prevalence of hazardous drinking (non-Hispanic Black: adjusted prevalence ratio aPR = 0.50, 95% confidence interval CI = 0.33, 0.74; other race: aPR = 0.26, 95% CI = 0.09, 0.81, compared with non-Hispanic White). No coping-related factors were significantly associated with hazardous drinking.
Among a cohort of older adults with chronic conditions, almost half engaged in hazardous drinking in early summer of the COVID-19 pandemic. While prevalence fell, these rates reinforce the need for alcohol screening and intervention in clinical settings among this population.
At the onset of the pandemic, there was poor public awareness and inaction in response to COVID-19; it is less known whether this translated to subsequent infections.
To explore whether adults who ...perceived COVID-19 as less of a threat and who were not taking early actions were more likely to become infected over the following year.
Survey data from the ongoing (COVID-19 & Chronic Conditions (C3) anonymized for review) cohort study.
Six hundred forty-two adults with a mean age of 63 and ≥1 chronic condition.
Self-reported attitudes and behaviors regarding COVID-19 were assessed from March 13 to April 3, 2020, and COVID-19 infection status was captured between May 2020 and January 2021. Bivariate and multivariable analyses examined associations between early perceptions and behaviors with later infection.
Approximately 7% reported infection with COVID-19 (N = 46). Adults who perceived the threat of COVID-19 less seriously at the initial outbreak were more likely to test positive over the following year odds ratio (OR): 0.81, CI: 0.70-0.94; P = 0.006. Those who were less likely to believe their actions would affect whether they would become infected were more likely to test positive (OR: 0.87, CI: 0.77-0.99; P = 0.03), as were adults who reported not changing their routines (OR: 0.45; CI: 0.24-0.85; P = 0.01).
Adults with delayed responses in acknowledging the threat of COVID-19 and in changing behaviors were more likely to contract the virus. This investigation provides insight into the consequences of inadequate public understanding and response to COVID-19, and it highlights the importance of promoting early awareness among high-risk groups during public health crises.
Objectives: To assess whether older adults with a cognitive impairment were more likely to report challenges interacting with medical providers, or to avoid needed medical care. Methods: Data for ...this exploratory, cross-sectional analysis were from older adults (N = 493) ages 60–82 participating in the “LitCog” cohort study. Multivariable generalized linear models compared cognitive impairment (none, mild, moderate, severe) with validated measures of healthcare engagement. Results: A moderate cognitive impairment was associated with delays in medical care due to embarrassment (RR 5.34.95% CI 1.30–22.0) and discomfort asking the doctor questions (RR 4.07, 95% CI 1.00–16.5). Conclusions: Intermediate cognitive deficits, such as with mild cognitive impairment (MCI) or mild dementias, may impact meaningful engagement with healthcare systems, potentially affecting timely detection and appropriate management of cognitive concerns and other chronic medical conditions. More research is needed to understand mechanisms underlying this relationship.
•CIND may be more prevalent than expected in diverse, primary care settings.•CIND is associated with reduced ability to independently self-manage health.•Self-care difficulty may be an indirect means ...of detecting early cognitive changes.•Targeting self-care may be a practical approach to manage health in CIND adults.
To determine the prevalence of cognitive impairment no dementia (CIND) among a diverse, community-based population, and establish associations between CIND and health literacy, chronic disease self-management and functional health status.
863 primary care adults without dementia aged 55–74. Adjusted logistic and linear regressions were used to assess associations between CIND (None, Mild, Moderate/Severe) and outcomes.
36 % participants exhibited CIND. It was strongly associated with limited health literacy (Newest Vital Signs: Mild OR 3.25; 95 % CI 1.93, 5.49, Moderate/Severe OR 6.45; 95 % CI 3.16, 13.2; Test of Functional Health Literacy in Adults: Mild OR 3.46; 95 % CI 2.08, 5.75, Moderate/Severe OR 8.82; 95 % CI 4.87, 16.0; all p’s < 0.001) and poor chronic disease self-management (Mild B = −11.2; 95 % CI −13.5, -8.90, Moderate/Severe CI B = −21.0; 95 % CI −23.6, −18.4; both p’s < 0.001). Associations between CIND and functional health status were non-significant.
CIND was prevalent in this cohort, and strongly associated with requisite skills for managing everyday health needs.
Attention to subtle declines in chronic disease self-care may assist with CIND identification and care management within this population. When CIND is observed, clinicians should also expect and address difficulties with self-management.
ObjectivesTo examine the prevalence of mental health symptoms during the first surge of COVID-19 in the USA, and their associations with COVID-19-related emotional distress, health self-management ...and healthcare utilisation.DesignCross-sectional analysis of wave 3 (1–22 May 2020) survey data from the ongoing Chicago COVID-19 Comorbidities (C3) study.SettingSeven academic and community health centres in Chicago, Illinois.Participants565 adults aged 23–88 with one or more chronic conditions completing at least one prior C3 study wave.Primary and secondary outcome measuresClinically relevant anxiety and depressive symptoms as measured using Patient-Reported Outcomes Measurement Information System short forms. Self-reported emotional and health-related responses to COVID-19 were measured through a combination of single-item questions and validated measures.ResultsRates of anxiety and depressive symptoms were 14% (81/563) and 15% (84/563), respectively. Anxiety and depressive symptoms were then each separately associated with greater worry about contracting COVID-19 (relative risk (RR) 2.32, 95% CI 1.52 to 3.53; RR 1.67, 95% CI 1.10 to 2.54), greater stress (RR 4.93, 95% CI 3.20 to 7.59; RR 3.01, 95% CI 1.96 to 4.61) and loneliness (RR 3.82, 95% CI 2.21 to 6.60; RR 5.37, 95% CI 3.21 to 8.98), greater avoidance of the doctor (RR 1.62, 95% CI 1.06 to 2.49; RR 1.54, 95% CI 1.00 to 2.36) and difficulty managing health (least square means (LS Means) 6.09, 95% CI 5.25 to 6.92 vs 4.23, 95% CI 3.70 to 4.75; LS Means 5.85, 95% CI 5.04 to 6.65 vs 4.22, 95% CI 3.70 to 4.75) and medications (LS Means 3.71, 95% CI 2.98 to 4.43 vs 2.47, 95% CI 2.02 to 2.92) due to the pandemic.ConclusionsIdentifying and addressing mental health concerns may be an important factor to consider in COVID-19 prevention and management among high-risk medical populations.
To determine the prevalence of sleep disturbance during the coronavirus disease 2019 (COVID-19) pandemic among US adults who are more vulnerable to complications because of age and co-morbid ...conditions, and to identify associated sociodemographic and psychosocial factors. Cross-sectional survey linked to 3 active clinical trials and 2 cohort studies, conducted between 11/30/2020 and 3/3/2021. Five academic internal medicine practices and 2 federally qualified health centers. A total of 715 adults ages 23 to 91 years living with one or more chronic conditions. A fifth (20%) of participants reported poor sleep. Black adults were twice as likely to report poor sleep compared to Whites. Self-reported poor physical function (51%), stress (42%), depression (28%), and anxiety (36%) were also common and all significantly associated with poor sleep. Age ≥70 years and having been vaccinated for COVID-19 were protective against poor sleep. Sex, education, income, alcohol use, and employment status were not significantly associated with sleep quality. In this diverse sample of adults with chronic conditions, by race, ethnicity, and socioeconomic status, disparities in sleep health amid the ongoing pandemic were apparent. Worse physical function and mental health were associated with poor sleep and should be considered targets for health system interventions to prevent the many subsequent consequences of disturbed sleep on health outcomes. Measurements: self-reported sleep quality, physical function, stress, depression, and anxiety.
IntroductionThe lack of definitive means to prevent or treat cognitive impairment or dementia is driving intense efforts to identify causal mechanisms. Recent evidence suggests clinically meaningful ...declines in cognition might present as early as middle age. Studying cognitive changes in middle adulthood could elucidate modifiable factors affecting later cognitive and health outcomes, yet few cognitive ageing studies include this age group. The purpose of the MidCog study is to begin investigations of less-studied and potentially modifiable midlife determinants of later life cognitive outcomes.Methods and analysisMidCog is a prospective cohort study of adults ages 35–64, with two in-person interviews 2.5 years apart. Data will be collected from interviews, electronic health records and pharmacy fill data. Measurements will include health literacy, self-management skills, cognitive function, lifestyle and health behaviours, healthcare use, health status and chronic disease outcomes. Associations of health literacy and self-management skills with health behaviours and cognitive/health outcomes will be examined in a series of regression models, and moderating effects of modifiable psychosocial factors.Finally, MidCog data will be linked to an ongoing, parallel cohort study of older adults recruited at ages 55–74 in 2008 (‘LitCog’; ages 70–90 in 2023), to explore associations between age, health literacy, self-management skills, chronic diseases, health status and cognitive function among adults ages 35–90.Ethics and disseminationThe Institutional Review Board at Northwestern University has approved the MidCog study protocol (STU00214736). Results will be published in peer-reviewed journals and summaries will be provided to the funders of the study as well as patients.
The U.S. public health response to coronavirus disease 2019 (COVID-19) has been widely criticized as having downplayed the potential implications COVID-19 could have on one's personal health. Despite ...the unprecedented threat of COVID-19, many individuals still believed that it was not at all likely that they would become infected. We sought to investigate trends in adults' perceived susceptibility to COVID-19 over the first year of the pandemic, whether distinct trajectories emerged, and if these trajectories differed by participant socio-demographic characteristics.This was a longitudinal cohort study with 5 time points of data collection (March 13, 2020-March 3, 2021). Subjects included 627 adults living with ≥1 chronic conditions, who completed a baseline interview and at least one follow-up interview. In addition to collecting relevant socio-demographic characteristics, participants' perceived susceptibility to COVID-19 across time was assessed and classified into distinct trajectories.Nearly two-thirds (62.2%) of participants perceived themselves to be highly susceptible to COVID-19 from the onset of the pandemic ("early responders") and sustained this over a year, a third (29.0%) eventually perceived themselves to be highly susceptible ("late responders"), and 8.8% maintained a low likelihood of susceptibility throughout the pandemic ("non-responders"). In multivariable analyses, compared to White participants, Latinx participants were significantly more likely to be non-responders and report low likelihood of perceived susceptibility (Risk Ratio RR: 3.46; 95% confidence interval: 1.19, 10.1), as were Black participants (RR: 5.49; 95% confidence interval: 2.19, 13.8).A year into the COVID-19 pandemic, 1 out of 11 participants persistently did not think they might be susceptible and potentially infected. Future studies are needed to understand reasons why certain individuals, particularly those of racial/ethnic minorities, did not perceive themselves at risk for infection.
Cognitive impairment (CI) and dementia can have profound social and emotional effects on older adults. Early detection of CI is imperative both to the identification of potentially treatable ...conditions and to provide services to minimize the effects of CI in cases of dementia. While primary care settings are ideal for identifying CI, it frequently goes undetected. We tailored a brief, iPad-based, cognitive assessment (MyCog) for primary care settings and piloted it in a sample of older adults. Eighty participants were recruited from an existing cohort study and completed a brief, in-person interview. CI was determined based on a diagnosis of dementia or CI in their medical record or based on a comprehensive cognitive battery performed within the past 18 months. MyCog had a sensitivity of 79% and specificity of 82%, offering a practical, scalable, primary care assessment for the routine case finding of cognitive impairment and dementia.
Timely detection of cognitive impairment (CI) is critical for the wellbeing of elderly individuals. The MyCog assessment employs two validated iPad-based measures from the NIH Toolbox
for Assessment ...of Neurological and Behavioral Function (NIH Toolbox). These measures assess pivotal cognitive domains: Picture Sequence Memory (PSM) for episodic memory and Dimensional Change Card Sort Test (DCCS) for cognitive flexibility. The study involved 86 patients and explored diverse machine learning models to enhance CI prediction. This encompassed traditional classifiers and neural-network-based methods. After 100 bootstrap replications, the Random Forest model stood out, delivering compelling results: precision at 0.803, recall at 0.758, accuracy at 0.902, F1 at 0.742, and specificity at 0.951. Notably, the model incorporated a composite score derived from a 2-parameter higher order item response theory (HOIRT) model that integrated DCCS and PSM assessments. The study's pivotal finding underscores the inadequacy of relying solely on a fixed composite score cutoff point. Instead, it advocates for machine learning models that incorporate HOIRT-derived scores and encompass relevant features such as age. Such an approach promises more effective predictive models for CI, thus advancing early detection and intervention among the elderly.
PDF
