COVID-19 vaccine antibody responses in community-dwelling adults to 48 weeks post primary vaccine series.

We report a decentralized prospective cohort study of self-reported adverse events and antibody responses to COVID vaccines derived from dried blood spots. Data are presented for 911 older (aged >70 years) and 375 younger (30-50 years) recruits to 48 weeks after the primary vaccine series. After a single vaccine, 83% younger and 45% older participants had overall seropositivity (p < 0.0001) increasing to 100/98% with the second dose, respectively (p = 0.084). A cancer diagnosis (p = 0.009), no mRNA-1273 vaccine doses (p <0 .0001), and older age (p <0 .0001) predicted lower responses. Antibody levels declined in both cohorts at 12 and 24 weeks increasing with booster doses. At 48 weeks, for participants with 3 vaccine doses, the median antibody levels were higher in the older cohort (p = 0.04) with any dose of mRNA-1273 (p <0 .0001) and with COVID infection (p <0 .001). The vaccines were well tolerated. Breakthrough COVID infections were uncommon (16% older cohort, 29% younger cohort; p < 0.0001) and mild.

COVID-19 Vaccine Antibody Responses in Community Dwelling Adults to 48 weeks Post Primary Vaccine Series

We report a decentralized prospective cohort study of self-reported adverse events and antibody responses to COVID vaccines derived from dried blood spots. Data is presented for 911 older (aged >70 years) and 375 younger (30-50 years) recruits to 48 weeks after the primary vaccine series. After a single vaccine, 83% younger and 45% older participants had overall seropositivity (p<0.0001) increasing to 100/98% with the second dose respectively (p=0.084). A cancer diagnosis (p=.009), no mRNA1273 vaccine doses (p<.0001) and older age (p <.0001) predicted lower responses. Antibody levels declined in both cohorts at 12 and 24 weeks increasing with booster doses. At 48 weeks, for participants with 3 vaccine doses, the median antibody levels were higher in the older cohort (p=.04) with any dose of mRNA-1273 (p<.0001) and with COVID infection (p<.001). The vaccines were well tolerated. Breakthrough COVID infections were uncommon (16% older cohort, 29% younger cohort;p<0.0001) and mild. Graphical abstract

Nursing home crowding and its association with outbreak-associated respiratory infection in Ontario, Canada before the COVID-19 pandemic (2014-19): a retrospective cohort study.

BACKGROUND: Studies conducted during the COVID-19 pandemic have shown that crowding in nursing homes is associated with high incidence of SARS-CoV-2 infections, but this effect has not been shown for other respiratory pathogens. We aimed to measure the association between crowding in nursing homes and outbreak-associated respiratory infection incidence and related mortality before the COVID-19 pandemic. METHODS: We conducted a retrospective cohort study of nursing homes in Ontario, Canada. We identified, characterised, and selected nursing homes through the Ontario Ministry of Long-Term Care datasets. Nursing homes that were not funded by the Ontario Ministry of Long-Term Care and homes that closed before January, 2020 were excluded. Outcomes consisting of respiratory infection outbreaks were obtained from the Integrated Public Health Information System of Ontario. The crowding index equalled the mean number of residents per bedroom and bathroom. The primary outcomes were the incidence of outbreak-associated infections and mortality per 100 nursing home residents per year. We examined the incidence of infections and deaths as a function of the crowding index by use of negative binomial regression with adjustment for three home characteristics (ie, ownership, number of beds, and region) and nine mean resident characteristics (ie, age, female sex, dementia, diabetes, chronic heart failure, renal failure, cancer, chronic obstructive pulmonary disease, and activities of daily living score). FINDINGS: Between Sept 1, 2014, and Aug 31, 2019, 5107 respiratory infection outbreaks in 588 nursing homes were recorded, of which 4921 (96·4%), involving 64 829 cases of respiratory infection and 1969 deaths, were included in this analysis. Nursing homes with a high crowding index had higher incidences of respiratory infection (26·4% vs 13·8%; adjusted rate ratio per one resident per room increase in crowding 1·89 [95% CI 1·64-2·17]) and mortality (0·8% vs 0·4%; 2·34 [1·88-2·92]) than did homes with a low crowding index. INTERPRETATION: Respiratory infection and mortality rates were higher in nursing homes with high crowding index than in homes with low crowding index, and the association was consistent across various respiratory pathogens. Decreasing crowding is an important safety target beyond the COVID-19 pandemic to help to promote resident wellbeing and decrease the transmission of prevalent respiratory pathogens. FUNDING: None.

Predictors of persistent depressive and anxiety symptoms among older adults during the COVID-19 pandemic in Canada.

BACKGROUND: The COVID-19 pandemic has increased the risk of psychological distress for older adults during a period of reduced access to mental health support. We identified predictors of persistent depressive and anxiety symptoms among older adults throughout the initial 9 months of the pandemic. METHODS: This was a longitudinal study using web-based surveys sent to a convenience sample of Canadians aged ≥55 years. A baseline survey was sent in May 2020, with eight surveys sent monthly between June 2020 and January 2021. Data were separated into three study periods, corresponding to coronavirus case rates. Respondents who met predetermined thresholds for elevated depressive or anxiety symptoms using standardized mental health scales during all three periods were defined as having persistent symptoms. Multivariable Poisson regression was used to compare the risk of persistent symptoms across respondent characteristics selected a priori. RESULTS: There were 835 respondents who answered questions about depressive symptoms and 865 who answered questions about anxiety symptoms across all three study periods. Among those with complete follow-up data, 19.2% (n = 159/827) reported persistent depressive symptoms and 16.4% (n = 140/856) reported persistent anxiety symptoms. Respondents with persistent depressive symptoms were more likely to be women (adjusted relative risk [aRR] 1.71; 95% CI 1.19-2.46), and report multimorbidity (aRR 1.45; 95% CI 1.07-1.97), pre-existing depression (aRR 2.00; 95% CI 1.45-2.77) and pre-existing anxiety (aRR 1.50; 95% CI 1.10-2.06). The same respondent characteristics were correlates of persistently elevated anxiety symptoms. CONCLUSIONS: Older women, older adults with pre-existing depression and anxiety, and those with multimorbidity were more likely to report persistent mental health symptoms during the first 9 months of the COVID-19 pandemic. These individuals were known to have elevated risk prior to the pandemic, and expanded interventions targeted to these groups are necessary to adequately address their mental health needs.

The Factors Associated With Nonuse of Social Media or Video Communications to Connect With Friends and Family During the COVID-19 Pandemic in Older Adults: Web-Based Survey Study.

BACKGROUND: Digital technologies have enabled social connection during prolonged periods of physical distancing and travel restrictions throughout the COVID-19 pandemic. These solutions may exclude older adults, who are at higher risk for social isolation, loneliness, and severe outcomes if infected with SARS-CoV-2. OBJECTIVE: This study investigated factors associated with nonuse of social media or video communications to connect with friends and family among older adults during the pandemic's first wave. METHODS: A web-based, cross-sectional survey was administered to members of a national retired educators' organization based in Ontario, Canada, between May 6 and 19, 2020. Respondents (N=4879) were asked about their use of social networking websites or apps to communicate with friends and family, their internet connection and smartphone access, loneliness, and sociodemographic characteristics. Factors associated with nonuse were evaluated using multivariable logistic regression. A thematic analysis was performed on open-ended survey responses that described experiences with technology and virtual connection. RESULTS: Overall, 15.4% (751/4868) of respondents did not use social networking websites or apps. After adjustment, male gender (odds ratio [OR] 1.60, 95% CI 1.33-1.92), advanced age (OR 1.88, 95% CI 1.38-2.55), living alone (OR 1.68, 95% CI 1.39-2.02), poorer health (OR 1.33, 95% CI 1.04-1.71), and lower social support (OR 1.44, 95% CI 1.20-1.71) increased the odds of nonuse. The reliability of internet connection and access to a smartphone also predicted nonuse. Many respondents viewed these technologies as beneficial, especially for maintaining pre-COVID-19 social contacts and routines, despite preferences for in-person connection. CONCLUSIONS: Several factors including advanced age, living alone, and low social support increased the odds of nonuse of social media in older adults to communicate with friends and family during COVID-19's first wave. Our findings identified socially vulnerable subgroups who may benefit from intervention (eg, improved access, digital literacy, and telephone outreach) to improve social connection.

Gender Differences in Mental Health Symptoms Among Canadian Older Adults During the COVID-19 Pandemic: a Cross-Sectional Survey.

Background: Older women's mental health may be disproportionally affected by the COVID-19 pandemic due to differences in gender roles and living circumstances associating with aging. Methods: We administered an online cross-sectional nationwide survey between May 1st and June 30th, 2020 to a convenience sample of older adults aged ≥55 years. Our outcomes were symptoms of depression, anxiety, and loneliness measured by three standardized scales: the eight-item Center for Epidemiological Studies Depression Scale, the five-item Beck Anxiety Inventory, and the Three-Item Loneliness Scale. Multivariable logistic regression was used to compare the odds of depression, anxiety and loneliness between men and women, adjusting for relevant confounders. Results: There were 1,541 respondents (67.8% women, mean age 69.3 ± 7.8). 23.3% reported symptoms of depression (29.4% women, 17.0% men), 23.2% reported symptoms of anxiety (26.0% women, 19.0% men), and 28.0% were lonely (31.5% women, 20.9% men). After adjustment for confounders, the odds of reporting depressive symptoms were 2.07 times higher in women compared to men (OR 2.07 [95%CI 1.50-2.87] p < .0001). The odds of reporting anxiety and loneliness were also higher. Conclusions: Older women had twice the odds of reporting depressive symptoms compared to men, an important mental health need that should be considered as the COVID-19 pandemic unfolds.

Factors associated with SARS-CoV-2 test positivity in long-term care homes: A population-based cohort analysis using machine learning.

BACKGROUND: SARS-Cov-2 infection rates are high among residents of long-term care (LTC) homes. We used machine learning to identify resident and community characteristics predictive of SARS-Cov-2 infection. METHODS: We linked 26 population-based health and administrative databases to identify the population of all LTC residents tested for SARS-Cov-2 infection in Ontario, Canada. Using ensemble-based algorithms, we examined 484 factors, including individual-level demographics, healthcare use, comorbidities, functional status, and laboratory results; and community-level characteristics to identify factors predictive of infection. Analyses were performed separately for January to April (early wave 1) and May to August (late wave 1). FINDINGS: Among 80,784 LTC residents, 64,757 (80.2%) were tested for SARS-Cov-2 (median age 86 (78-91) years, 30.6% male), of whom 10.2% of 33,519 and 5.2% of 31,238 tested positive in early and late wave 1, respectively. In the late phase (when restriction of visitors, closure of communal spaces, and universal masking in LTC were routine), regional-level characteristics comprised 33 of the top 50 factors associated with testing positive, while laboratory values and comorbidities were also predictive. The c-index of the final model was 0.934, and sensitivity was 0.887. In the highest versus lowest risk quartiles, the odds ratio for infection was 114.3 (95% CI 38.6-557.3). LTC-related geographic variations existed in the distribution of observed infection rates and the proportion of residents at highest risk. INTERPRETATION: Machine learning informed evaluation of predicted and observed risks of SARS-CoV-2 infection at the resident and LTC levels, and may inform initiatives to improve care quality in this setting. FUNDING: Funded by a Canadian Institutes of Health Research, COVID-19 Rapid Research Funding Opportunity grant (# VR4 172736) and a Peter Munk Cardiac Centre Innovation Grant. Dr. D. Lee is the Ted Rogers Chair in Heart Function Outcomes, University Health Network, University of Toronto. Dr. Austin is supported by a Mid-Career investigator award from the Heart and Stroke Foundation. Dr. McAlister is supported by an Alberta Health Services Chair in Cardiovascular Outcomes Research. Dr. Kaul is the CIHR Sex and Gender Science Chair and the Heart & Stroke Chair in Cardiovascular Research. Dr. Rochon holds the RTO/ERO Chair in Geriatric Medicine from the University of Toronto. Dr. B. Wang holds a CIFAR AI chair at the Vector Institute.

Predictors of mortality among long-term care residents with SARS-CoV-2 infection.

BACKGROUND: While individuals living in long-term care (LTC) homes have experienced adverse outcomes of SARS-CoV-2 infection, few studies have examined a broad range of predictors of 30-day mortality in this population. METHODS: We studied residents living in LTC homes in Ontario, Canada, who underwent PCR testing for SARS-CoV-2 infection from January 1 to August 31, 2020, and examined predictors of all-cause death within 30 days after a positive test for SARS-CoV-2. We examined a broad range of risk factor categories including demographics, comorbidities, functional status, laboratory tests, and characteristics of the LTC facility and surrounding community were examined. In total, 304 potential predictors were evaluated for their association with mortality using machine learning (Random Forest). RESULTS: A total of 64,733 residents of LTC, median age 86 (78, 91) years (31.8% men), underwent SARS-CoV-2 testing, of whom 5029 (7.8%) tested positive. Thirty-day mortality rates were 28.7% (1442 deaths) after a positive test. Of 59,702 residents who tested negative, 2652 (4.4%) died within 30 days of testing. Predictors of mortality after SARS-CoV-2 infection included age, functional status (e.g., activity of daily living score and pressure ulcer risk), male sex, undernutrition, dehydration risk, prior hospital contacts for respiratory illness, and duration of comorbidities (e.g., heart failure, COPD). Lower GFR, hemoglobin concentration, lymphocyte count, and serum albumin were associated with higher mortality. After combining all covariates to generate a risk index, mortality rate in the highest risk quartile was 48.3% compared with 7% in the first quartile (odds ratio 12.42, 95%CI: 6.67, 22.80, p < 0.001). Deaths continued to increase rapidly for 15 days after the positive test. CONCLUSIONS: LTC residents, particularly those with reduced functional status, comorbidities, and abnormalities on routine laboratory tests, are at high risk for mortality after SARS-CoV-2 infection. Recognizing high-risk residents in LTC may enhance institution of appropriate preventative measures.

Gender disparity between authors in leading medical journals during the COVID-19 pandemic: a cross-sectional review.

OBJECTIVES: Evaluate gender differences in authorship of COVID-19 articles in high-impact medical journals compared with other topics. DESIGN: Cross-sectional review. DATA SOURCES: Medline database. ELIGIBILITY CRITERIA: Articles published from 1 January to 31 December 2020 in the seven leading general medical journals by impact factor. Article types included primary research, reviews, editorials and commentaries. DATA EXTRACTION: Key data elements were whether the study topic was related to COVID-19 and names of the principal and the senior authors. A hierarchical approach was used to determine the likely gender of authors. Logistic regression assessed the association of study characteristics, including COVID-19 status, with authors' likely gender; this was quantified using adjusted ORs (aORs). RESULTS: We included 2252 articles, of which 748 (33.2%) were COVID-19-related and 1504 (66.8%) covered other topics. A likely gender was determined for 2138 (94.9%) principal authors and 1890 (83.9%) senior authors. Men were significantly more likely to be both principal (1364 men; 63.8%) and senior (1332 men; 70.5%) authors. COVID-19-related articles were not associated with the odds of men being principal (aOR 0.99; 95% CI 0.81 to 1.21; p=0.89) or senior authors (aOR 0.96; 95% CI 0.78 to 1.19; p=0.71) relative to other topics. Articles with men as senior authors were more likely to have men as principal authors (aOR 1.49; 95% CI 1.21 to 1.83; p<0.001). Men were more likely to author articles reporting original research and those with corresponding authors based outside the USA and Europe. CONCLUSIONS: Women were substantially under-represented as authors among articles in leading medical journals; this was not significantly different for COVID-19-related articles. Study limitations include potential for misclassification bias due to the name-based analysis. Results suggest that barriers to women's authorship in high-impact journals during COVID-19 are not significantly larger than barriers that preceded the pandemic and that are likely to continue beyond it. PROSPERO REGISTRATION NUMBER: CRD42020186702.

COVID-19 and the Mental Health of Canadian Armed Forces Veterans: A Cross-Sectional Survey.

BACKGROUND: There are no data on the impact of COVID-19 and associated public health measures, including sheltering at home, travel restrictions, and changes in health care provision, on the mental health of older veterans. This information is necessary for government and philanthropic agencies to tailor mental health supports, services, and resources for veterans in the peri- and post-pandemic periods. The objective of this study was to compare mental health symptoms between Canadian Armed Forces (CAFs) veterans and the general Canadian older adult population in the early months of the COVID-19 pandemic. MATERIALS AND METHODS: This was a secondary analysis of a cross-sectional study of older adults in the national Canadian COVID-19 Coping Study. Individuals aged 55 years and older were eligible. A convenience sample of older adults was recruited through a web-based survey administered between May 01, 2020 and June 30, 2020. Canadian Armed Force military service history status (yes/no) was ascertained. The eight-item Center for Epidemiological Studies Depression Scale, the five-item Beck Anxiety Inventory, and the three-item Loneliness Scale were used to measure mental health symptoms. Multivariable logistic regression compared the odds of screening positive for depression, anxiety, and loneliness between veterans and non-veterans. RESULTS: Of 1,541 respondents who answered the final question (87% survey completeness rate), 210 were veterans. Forty percent of veterans met criteria for at least one of the mental health diagnoses compared to 46% of non-veterans (P = .12). The odds of reporting elevated symptoms of depression, anxiety, and loneliness were similar for veteran and non-veteran respondents after adjusting for confounders. CONCLUSION: Veterans' report of mental health symptoms was similar to the general population Spring 2020 of the COVID-19 pandemic. Although veterans' military training may better prepare them to adapt in the face of a pandemic, additional research is needed to understand the longitudinal impacts on physical and mental health.

Loneliness among older adults in the community during COVID-19: a cross-sectional survey in Canada.

OBJECTIVE: Physical distancing and stay-at-home measures implemented to slow transmission of novel coronavirus disease (COVID-19) may intensify feelings of loneliness in older adults, especially those living alone. Our aim was to characterise the extent of loneliness during the first wave in a sample of older adults living in the community and assess characteristics associated with loneliness. DESIGN: Online cross-sectional survey between 6 May and 19 May 2020. SETTING: Ontario, Canada. PARTICIPANTS: Convenience sample of members of a national retired educators' organisation. PRIMARY OUTCOME MEASURES: Self-reported loneliness, including differences between women and men. RESULTS: 4879 respondents (71.0% women; 67.4% 65-79 years) reported that in the preceding week, 43.1% felt lonely at least some of the time, including 8.3% who felt lonely always or often. Women had increased odds of loneliness compared with men, whether living alone (adjusted OR (aOR) 1.52, 95% CI 1.13 to 2.04) or with others (2.44, 95% CI 2.04 to 2.92). Increasing age group decreased the odds of loneliness (aOR 0.69 (95% CI 0.59 to 0.81) 65-79 years and 0.50 (95% CI 0.39 to 0.65) 80+ years compared with <65 years). Living alone was associated with loneliness, with a greater association in men (aOR 4.26, 95% CI 3.15 to 5.76) than women (aOR 2.65, 95% CI 2.26 to 3.11). Other factors associated with loneliness included: fair or poor health (aOR 1.93, 95% CI 1.54 to 2.41), being a caregiver (aOR 1.18, 95% CI 1.02 to 1.37), receiving care (aOR 1.47, 95% CI 1.19 to 1.81), high concern for the pandemic (aOR 1.55, 95% CI 1.31 to 1.84), not experiencing positive effects of pandemic distancing measures (aOR 1.94, 95% CI 1.62 to 2.32) and changes to daily routine (aOR 2.81, 95% CI 1.96 to 4.03). CONCLUSIONS: While many older adults reported feeling lonely during COVID-19, several characteristics-such as being female and living alone-increased the odds of loneliness. These characteristics may help identify priorities for targeting interventions to reduce loneliness.

Worries, attitudes, and mental health of older adults during the COVID-19 pandemic: Canadian and U.S. perspectives.

BACKGROUND/OBJECTIVES: Differences in older adults' worry, attitudes, and mental health between high-income countries with diverging pandemic responses are largely unknown. We compared COVID-19 worry, attitudes towards governmental responses, and self-reported mental health symptoms among adults aged ≥55 in the United States and Canada early in the COVID-19 pandemic. DESIGN: Online cross-sectional survey administered between April 2nd and May 31st in the United States and between May 1st and June 30th, 2020 in Canada. SETTING: Nationally in the United States and Canada. PARTICIPANTS: Convenience sample of older adults aged ≥55. MEASUREMENTS: Likert-type scales measured COVID-19 worry and attitudes towards government support. Three standardized scales assessed mental health symptoms: the eight-item Center for Epidemiological Studies Depression Scale, the five-item Beck Anxiety Inventory, and the three-item UCLA loneliness scale. RESULTS: There were 4453 U.S. respondents (71.7% women; mean age 67.5) and 1549 Canadian (67.6% women; mean age 69.3). More U.S. respondents (71%) were moderately or extremely worried about the pandemic, compared to 52% in Canada. Just 20% of U.S. respondents agreed or strongly agreed that the federal government cared about older adults in their COVID-19 pandemic response, compared to nearly two-thirds of Canadians (63%). U.S. respondents were more likely to report elevated depressive and anxiety symptoms compared to Canadians; 34.2% (32.8-35.6) versus 25.6% (23.3-27.8) for depressive and 30.8% (29.5-32.2) versus 23.7% (21.6-25.9) for anxiety symptoms. The proportion of United States and Canadian respondents who reported loneliness was similar. A greater proportion of women compared to men reported symptoms of depression and anxiety across all age groups in both countries. CONCLUSION: U.S. older adults felt less supported by their federal government and had elevated depressive and anxiety symptoms compared to older adults in Canada during early months of the COVID-19 pandemic. Public health messaging from governments should be clear, consistent, and incorporate support for mental health.