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Background: Entrustable Professional Activities (EPAs) have become a cornerstone for an increasing number of competency-based medical education programs. Today, frameworks of EPAs are being used in most, if not all, medical specialties. These frameworks can break a discipline down to its constituting tasks, and structure the training and evaluation of residents. In 2018, The Royal College of Physicians and Surgeons of Canada created an EPA framework for Geriatric Specialty residency programs nationwide. The present study aims to evaluate this EPA framework through focus groups consisting of several stakeholder groups. Methods: Participants were recruited to be part of one of five focus groups-one for each stakeholder group of interest. The five focus groups consisted of: physician faculty, residents, allied health professionals, administrators/managers, and patients. Each focus group met once virtually over ZOOM® for no longer than 90 minutes. Meeting transcripts were iteratively coded based on emerging themes, and were compared for similarities and gaps between stakeholder perspectives. Results: Multi-stakeholder consultation yielded feedback on many specific EPAs, suggestions for new EPAs, and additional input which gave rise to four themes: (i) EPA scope, (ii) Operationalization, (iii) Interprofessional Collaboration, and (iv) Patient Advocacy. Lastly, we received their thoughts on how the framework defines Geriatrics relative to the work of Care of the Elderly physicians in Canada. Conclusions: Consulting a variety of stakeholder groups generates a robust and diverse supply of feedback that holistically augments EPA frameworks to be more practical, appropriate, socially accountable and patient-centred.

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OBJECTIVES: To examine the impact of two key choices when conducting a network analysis (clustering methods and measure of association) on the number and type of multimorbidity clusters. STUDY DESIGN AND SETTING: Using cross-sectional self-reported data on 24 diseases from 30,097 community-living adults aged 45-85 from the Canadian Longitudinal Study on Aging, we conducted network analyses using 5 clustering methods and 11 association measures commonly used in multimorbidity studies. We compared the similarity among clusters using the adjusted Rand index (ARI); an ARI of 0 is equivalent to the diseases being randomly assigned to clusters, and 1 indicates perfect agreement. We compared the network analysis results to disease clusters independently identified by two clinicians. RESULTS: Results differed greatly across combinations of association measures and cluster algorithms. The number of clusters identified ranged from 1 to 24, with a low similarity of conditions within clusters. Compared to clinician-derived clusters, ARIs ranged from -0.02 to 0.24, indicating little similarity. CONCLUSION: These analyses demonstrate the need for a systematic evaluation of the performance of network analysis methods on binary clustered data like diseases. Moreover, in individual older adults, diseases may not cluster predictably, highlighting the need for a personalized approach to their care.

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INTRODUCTION: Cancer incidence, comorbidity, and polypharmacy increase with age, but the interplay between these factors on receipt of systemic therapy (ST) in advanced cancer has rarely been studied. MATERIALS AND METHODS: A retrospective cohort study was conducted including patients aged ≥18 years diagnosed from 2004 to 2015 with multiple myeloma (MM) (all stages), lung cancer (stage IV), and stage III-IV non-Hodgkin's lymphoma (NHL), breast, colorectal (CRC), prostate, or ovarian cancer in Manitoba, Canada. Clinical and administrative health data were used to determine demographic and cancer characteristics, treatment history, comorbidity (Charlson Comorbidity Index [CCI] and Resource Utilization Band [RUB]), and polypharmacy (≥6 medications). Multivariable logistic regression was used to evaluate variable associations with receipt of ST and interaction with age. RESULTS: In total, 17,228 patients were diagnosed with advanced cancer. Ages were distributed as follows: 7% <50 years, 16% 50-59 years, 26% 60-69, 26% 70-79, 24% ≥80 years. ST was administered to 50% of patients. Increased age, polypharmacy, and comorbidity each independently decreased the likelihood of receiving ST. Significant interaction effects were found between age at diagnosis with stage of cancer and cancer type. Differences in probability of ST by cancer stage converged as age increased. In multivariable analysis, adjusting for covariates, patients with MM had the highest odds and lung cancer the lowest odds to receive ST. The impact of comorbidity and polypharmacy did not differ meaningfully with increasing age. DISCUSSION: Increased age, polypharmacy, and comorbidity were each independently associated with decreased receipt of ST in people with advanced cancers. The impact of comorbidity and polypharmacy did not differ meaningfully with increasing age, while age meaningfully interacted with stage and cancer type.

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OBJECTIVES: To quantify inconsistent self-reporting of chronic conditions between the baseline (2011-2015) and first follow-up surveys (2015-2018) in the Canadian Longitudinal Study on Aging (CLSA), and to explore methods to resolve inconsistent responses and impact on multimorbidity. METHODS: Community-dwelling adults aged 45-85 years in the baseline and first follow-up surveys were included (n = 45,184). At each survey, participants self-reported whether they ever had a physician diagnosis of 35 chronic conditions. Identifiable inconsistent responses were enumerated. RESULTS: 32-40% of participants had at least one inconsistent response across all conditions. Illness-related information (e.g., taking medication) resolved most inconsistent responses (>93%) while computer-assisted software asking participants to confirm their inconsistent disease status resolved ≤53%. Using these adjudication methods, multimorbidity prevalence at follow-up increased by ≤1.6% compared to the prevalence without resolving inconsistent responses. DISCUSSION: Inconsistent self-reporting of chronic conditions is common but may not substantially affect multimorbidity prevalence. Future research should validate methods to resolve inconsistencies.

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Objective: To examine the impact of visual impairment, hearing impairment, and dual sensory impairment (DSI) on functional status in older adults. Methods: Secondary analysis of the Manitoba Health and Aging Study, a population-based cohort study of 1751 adults age 65+. Data were collected from 1991 to 1992 (Time 1), with follow-up five years later (Time 2). Vision and hearing were self-reported. Functional status was measured using the Older Americans Resource and Services (OARS). Logistic regression models were constructed to assess functional status at both Time 1 and Time 2. Results: Dual sensory impairment (DSI) at Time 1 predicted poor functional status at both Time 1 and Time 2. The adjusted odds ratios (OR; 95% confidence interval [CI]) for poor functional status at Time 1 for those with only hearing impairment was 1.74 (1.25, 2.44) for visual impairment was 2.95 (2.19, 3.98), and for DSI was 3.58 (2.58, 4.95). At Time 2, the adjusted ORs for poor functional status for those with only hearing impairment was 1.32 (0.86, 2.03), for visual impairment was 1.63 (1.05, 2.52), and for DSI was 2.61 (1.54, 4.40). Conclusions: DSI is associated with lower functional status, but the effect of visual impairment is more pronounced than hearing impairment.

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Objective: Communication around a palliative approach to dementia care often is problematic or occurs infrequently in nursing homes (NH). Question prompt lists (QPLs), are evidence-based lists designed to improve communication by facilitating discussions within a specific population. This study aimed to develop a QPL concerning the progression and palliative care needs of residents living with dementia. Methods: A mixed-methods design in 2 phases. In phase 1, potential questions for inclusion in the QPL were identified using interviews with NH care providers, palliative care clinicians and family caregivers. An international group of experts reviewed the QPL. In phase 2, NH care providers and family caregivers reviewed the QPL assessing the clarity, sensitivity, importance, and relevance of each item. Results: From 127 initial questions, 30 questions were included in the first draft of the QPL. After review by experts, including family caregivers, the QPL was finalized with 38 questions covering eight content areas. Conclusion: Our study has developed a QPL for persons living with dementia in NHs and their caregivers to initiate conversations to clarify questions they may have regarding the progression of dementia, end of life care, and the NH environment. Further work is needed to evaluate its effectiveness and determine optimal use in clinical practice. Innovation: This unique QPL is anticipated to facilitate discussions around dementia care, including self-care for family caregivers.

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The purpose of this study was to identify factors at various time points in life that are associated with surviving to age 90. Data from men enrolled in a cohort study since 1948 were considered in 12-year intervals. Logistic regression models were constructed with the outcome of surviving to age 90. Factors were: childhood illness, blood pressure (BP), body mass index (BMI), chronic diseases, and electrocardiogram (ECG) findings. After 1996, the Short Form-36 was added. A total of 3,976 men were born in 1928 or earlier, and hence by the end of our study window in 2018, each had the opportunity of surviving to age 90. Of these, 721 did live to beyond his 90th birthday.The factors in 1948 which predicted surviving were: lower diastolic BP, lower BMI, and not smoking. In 1960, these factors were: lower BP, lower BMI, not smoking, and no major ECG changes. In 1972, these factors were lower BP, not smoking, and fewer disease states. In 1984, these factors were lower systolic BP, not smoking, ECG changes, and fewer disease states. In 1996, the factors were fewer disease states and higher physical and mental health functioning. In 2008, only higher physical functioning predicted survival to the age of 90. In young adulthood, risk factors are important predictors of surviving to age 90; in mid-life, chronic illnesses emerge, and in later life, functional status becomes predominant.

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OBJECTIVE: To assess the prevalence and potential risk factors for polypharmacy and prescribing of the potentially inappropriate medications, opioids and benzodiazepines/Z-drugs, in older adults with systemic lupus erythematosus (SLE). METHODS: The study population comprised adults age ≥50 years meeting American College of Rheumatology or Systemic Lupus International Collaborating Clinics classification criteria followed at a tertiary care rheumatology clinic. Information on prescriptions filled in the 4 months preceding chart review was obtained from the Manitoba Drug Program Information Network. Clinical data, including age, sex, Charlson Comorbidity Index (CCI) score, Systemic Lupus Erythematosus Disease Activity Index 2000 score, prednisone use, SLE duration, and rural residence were abstracted from electronic medical records. Logistic regression analyses were performed to assess any association between polypharmacy (using 2 definitions: ≥5 and ≥10 medications), potentially inappropriate medication use, and clinical features. RESULTS: A total of 206 patients (mean age 62 years, 91% female, 36% rural) were included: 148 (72%) filled ≥5 medications, 71 (35%) filled ≥10 medications, 63 (31%) used benzodiazepines/Z-drugs, and 50 (24%) used opioids. Among the 77 patients age ≥65 years, 57 (74%) filled ≥5 medications, and 26 (34%) filled ≥10 medications, compared to 30% and 4%, respectively, of Manitobans age ≥65 years (National Prescription Drug Utilization Information System, 2016). The odds of polypharmacy were greater with prednisone use (adjusted odds ratio [OR] 3.70 [95% confidence interval (95% CI) 1.40-9.79] for ≥5 medications), CCI score (adjusted OR 1.62 [95% CI 1.20-2.17]), and rural residence (adjusted OR 2.05 [95% CI 1.01-4.18]). Odds of benzodiazepine/Z-drug use were increased with polypharmacy (adjusted OR 4.35 [95% CI 1.69-11.22]), and odds of opioid use were increased with polypharmacy (adjusted OR 6.75 [95% CI 1.93-23.69]) and CCI score (adjusted OR 1.29 [95% CI 1.08-1.54]). CONCLUSION: The prevalence of polypharmacy in this SLE cohort was higher than in the general Manitoban population. Polypharmacy is a strong marker for use of prescription benzodiazepines/Z-drugs and opioids.

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Entrustable Professional Activities (EPAs) have become widely used within Competency-Based Medical Education (CBME) for the training and evaluation of residents. Little is known about the effectiveness of incorporating multiple stakeholder groups in the validation of EPAs. Here, we seek to validate an EPA framework developed for the University of Manitoba Care of the Elderly Enhanced Skills program using online focus groups consisting of five stakeholder groups. Participants were recruited to take part in one of five online focus groups, one for each stakeholder group (physician faculty, residents, non-physician healthcare professionals, administrators/managers, and patients). Each group met one time for 90 minutes over ZOOM®. The themes arising from stakeholder feedback suggest that successful EPAs must neither be too specific nor too expansive in scope, clearly delineate appropriate means of evaluation, and indicate specific clinical settings in which each EPA should be evaluated. Cross-cutting themes included requiring trainees to collaborate with other professionals when it would optimize patient care, and preparing trainees to advocate for their patients' health (Advocacy). The present study demonstrates that multi-stakeholder analysis yields diverse feedback that can help make EPAs more clear, easier to use in evaluation, and more socially accountable.

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BACKGROUND: The rising prevalence of multimorbidity poses challenges to health systems globally. The objectives of this study were to investigate: 1) the association between multimorbidity and depressive symptoms; and 2) whether social support plays a protective role in this association. METHODS: A prospective population-based cohort study was conducted to analyze baseline and 3-year follow-up data of 16,729 community dwelling participants aged 65 and above in the Canadian Longitudinal Study of Aging (CLSA). Multimorbidity was defined as having three or more chronic conditions. The 10-item Center for Epidemiologic Studies Depression scale (CESD-10) was used to measure depressive symptoms. The 19-item Medical Outcomes Study (MOS) Social Support Survey was employed to assess perceived social support. Multivariate logistic regression models were used to examine the association between multimorbidity, social support and depressive symptoms. RESULTS: Multimorbidity was very common among participants with a prevalence of 70.6%. Fifteen percent of participants had depressive symptoms at baseline. Multimorbidity was associated with increased odds of having depressive symptoms at 3-year follow-up (adjusted odds ratio, aOR = 1.51, 95% CI 1.33, 1.71), and developing depressive symptoms by follow-up among those with no depressive symptoms at baseline (aOR = 1.65, 95% CI 1.42, 1.92). Social support was consistently associated with decreased odds of depressive symptoms, regardless of level of multimorbidity. CONCLUSION: Multimorbidity was positively associated with depressive symptoms over time, but social support served as a protective factor. As a modifiable, protective factor, emphasis should be placed in clinical practice to assess social support and refer patients to appropriate services, such as support groups. Similarly, health policy should focus on ensuring that older adults have access to social support opportunities as a way to promote mental health among older adults. Community organizations that offer social activities or support groups play a key role in this respect and should be adequately supported (e.g., with funding).

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BACKGROUND: In Canada, mortality due to SARS-CoV-2 disproportionately impacted residents of nursing homes (NH). In November 2021, NH residents in the Canadian province of Manitoba became eligible to receive three doses of mRNA vaccine but coverage with three doses has not been universal. The objective of this study was to compare the protection from infection conferred by one, two, and three doses of COVID-19 mRNA vaccine compared to no vaccination among residents of nursing homes experiencing SARS-CoV-2 outbreaks. METHODS: Infection Prevention and Control reports from 8 rural nursing homes experiencing outbreaks of SARS-CoV-2 between January 6, 2022, and March 5, 2022, were analyzed. Attack rates and the number needed to vaccinate (NNV) were calculated. RESULTS: SARS-CoV-2 attack rate was 65% among NH residents not vaccinated, 58% among residents who received 1-2 doses of mRNA COVID-19 vaccine, and 28% among residents who had received 3 vaccine doses. The NNV to prevent one nursing home resident from SARS-CoV-2 infection during an outbreak was 3 for a vaccination with 3 doses and 14 for 1-2 doses of COVID-19 mRNA vaccine. The superiority of receiving the third dose was statistically significant compared to 1-2 doses (Chi-Squared, p < 0.00001). CONCLUSIONS: Nursing home residents who received three doses of COVID-19 mRNA vaccine were at lower risk of SARS-CoV-2 infection compared to those who received 1-2 doses. Our analyses lend support to the protective effects of the third dose of mRNA vaccine for NH residents in the event of a SARS-CoV-2 outbreak.

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OBJECTIVE: In studies of trajectories of physical functioning among older people, the data cannot be measured continuously, but only at certain time points in prespecified cycles. We examine how data collection cycles can affect the estimation of trajectories and their associations with survival. STUDY DESIGN AND SETTING: Longitudinal data from the Manitoba Follow-Up Study (MFUS), with 12 measurements collected annually from 2004 to 2015, are analysed using a summary measures of physical functioning from the Short Form-36 questionnaire. Based on the joint models of the functioning trajectories and risk of death, we compare the estimations among models using different frequency of data collection (annually, biennially and triennially). RESULTS: Our 2004 baseline includes 964 men who were survivors from the original MFUS cohort with mean age of 84 years and range between 75 and 94 years. Results from analysis of annual data indicate that the mean physical functioning is significantly decreasing over time. Further, the rate of decline is increasing over time. The current value of physical functioning is significantly associated with the hazard of death (p<0.001), whereas the association between the change rate and mortality is marginally significant (p<0.10). Results from analysis of biennial and triennial data reveal similar trajectory patterns of physical functioning, but could not reveal the association between the change rate of physical functioning and mortality. The frequency of data collection also impacts substantially on the estimation of heterogeneity of functioning trajectory. The prediction of mortality risk obtained using annual measurements of physical functioning are better than using biennial or triennial measurements, while the predictions obtained using biennial or triennial measurements are almost equivalent. CONCLUSION: The impact of frequency of data collection depends on the shape of functional trajectories and its linking structure to survival outcome.

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Background: The Ottawa 3DY (O3DY) is a simple measure of cognition. Objectives: 1) To determine if the O3DY predicts mortality; and 2) To compare the discrimination of the O3DY to the Mini-Mental State Examination (MMSE) and Modified MMSE (3MS). Methods: Analyses of a population based cohort study of 1,751 participants aged 65+; conducted in 1991/2 with follow-up over five years. The O3DY, age, sex, education, comorbid conditions, the MMSE, and the 3MS were measured: 4.5% of the participants had missing data for the O3DY; 42.8% were considered as positive (one or more errors), and 52.7% were considered as negative (no errors). Logistic regression models were constructed with the outcome of death at time 2. A Receiver Operator Curve (ROC) was constructed and the Area Under the ROC (AUROC) was calculated using a c-statistic. Results: The unadjusted odds ratio (OR) and 95% confidence interval (CI) for mortality was 1.96 (1.56, 2.47); and the adjusted OR was 1.33 (1.02, 1.72). The AUROC was 0.66 for the 3MS, 0.65 for the MMSE, and 0.60 for the O3DY. Conclusions: The O3DY predicts mortality over a long time frame, although the discrimination is less than that of longer measures of cognition.

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Public representations of long-term residential care (LTRC) facilities have received limited focus in Canada, although literature from other countries indicates that public perceptions of LTRC tend to be negative, particularly in contexts that prioritize aging and dying in place. Using Manitoba as the study context, we investigate a question of broad relevance to the Canadian perspective; specifically, what are current public perceptions of the role and function of long-term care in the context of a changing health care system? Through critical discourse analysis, we identify four overarching discourses dominating public perceptions of LTRC: the problem of public aging, LTRC as an imperfect solution to the problem, LTRC as ambiguous social spaces, and LTRC as a last resort option. Building on prior theoretical work, we suggest that public perceptions of LTRC are informed by neoliberal discourses that privilege individual responsibility and problematize public care.

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BACKGROUND AND OBJECTIVES: Little is known about the effect of education or other indicators of cognitive reserve on the rate of reversion from mild cognitive impairment (MCI) to normal cognition (NC) or the relative rate (RR) of reversion from MCI to NC vs progression from MCI to dementia. Our objectives were to (1) estimate transition rates from MCI to NC and dementia and (2) determine the effect of age, APOE, and indicators of cognitive reserve on the RR of reversion vs progression using multistate Markov modeling. METHODS: We estimated instantaneous transition rates between NC, MCI, and dementia after accounting for transition to death across up to 12 assessments in the Nun Study, a cohort study of religious sisters aged 75+ years. We estimated RRs of reversion vs progression for age, APOE, and potential cognitive reserve indicators: education, academic performance (high school grades), and written language skills (idea density, grammatical complexity). RESULTS: Of the 619 participants, 472 were assessed with MCI during the study period. Of these 472, 143 (30.3%) experienced at least one reverse transition to NC, and 120 of the 143 (83.9%) never developed dementia (mean follow-up = 8.6 years). In models adjusted for age group and APOE, higher levels of education more than doubled the RR ratio of reversion vs progression. Novel cognitive reserve indicators were significantly associated with a higher adjusted RR of reversion vs progression (higher vs lower levels for English grades: RR ratio = 1.83; idea density: RR ratio = 3.93; and grammatical complexity: RR ratio = 5.78). DISCUSSION: Knowledge of frequent reversion from MCI to NC may alleviate concerns of inevitable cognitive decline in those with MCI. Identification of characteristics predicting the rate of reversion from MCI to NC vs progression from MCI to dementia may guide population-level interventions targeting these characteristics to prevent or postpone MCI and dementia. Research on cognitive trajectories would benefit from incorporating predictors of reverse transitions and competing events, such as death, into statistical modeling. These results may inform the design and interpretation of MCI clinical trials, given that a substantial proportion of participants may experience improvement without intervention.

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OBJECTIVES: Previous studies on depression in rural areas have yielded conflicting results. Features of rural areas may be conducive or detrimental to mental health. Our objective for this study was to determine if there are rural-urban disparities in depressive symptoms between those living in rural and urban areas of Canada. DESIGN: We conducted a cross-sectional analysis of a prospective cohort study, which is as representative as possible of the Canadian population-the Tracking Cohort of the Canadian Longitudinal Study on Aging. For this cohort, data were collected from 2010 to 2014. Data were analysed and results were obtained in 2020. PARTICIPANTS: 21 241 adults aged 45-85. MEASURES: Rurality was grouped as urban (n=11 772); peri-urban (n=2637); mixed (n=2125; postal codes with both rural and urban areas); and rural (n=4707). Depressive symptoms were measured using the 10-item Center for Epidemiological Studies-Depression. We considered age, sex, education, marital status and disease states as potential confounding factors. RESULTS: The adjusted beta coefficient was -0.24 (95% CI -0.42 to -0.07; p=0.01) for rural participants, -0.17 (95% CI -0.40 to 0.05; p=0.14) for peri-urban participants and -0.30 (95% CI -0.54 to -0.05; p=0.02) for participants in mixed regions, relative to urban regions. Risk factors associated with depressive symptoms were similar in rural and urban regions. CONCLUSIONS: The small differences in depressive symptoms among those living in rural and urban regions are unlikely to be relevant at a clinical or population level. The findings do suggest some possible approaches to reducing depressive symptoms in both rural and urban populations. Future research is needed in other settings and on change in depressive symptoms over time.

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INTRODUCTION: Understanding rural-urban differences, and understanding levels of life satisfaction in rural populations, is important in planning social and healthcare services for rural populations. The objectives of this study were to determine patterns of life satisfaction in Canadian rural populations aged 45-85 years, to determine rural-urban differences in life satisfaction across a rural-urban continuum after accounting for potential confounding factors and to determine if related social and health factors of life satisfaction differ in rural and urban populations. METHODS: A secondary analysis was conducted using data from an ongoing population-based cohort study, the Canadian Longitudinal Study on Aging. A cross-sectional sample from the baseline wave of the tracking cohort was used, which was intended to be as generalizable as possible to the Canadian population. Four geographic areas were compared on a rural-urban continuum: rural, mixed (indicating some rural, but could also include some peri-urban areas), peri-urban, and urban. Life satisfaction was measured using the Satisfaction with Life Scale and dichotomized as satisfied versus dissatisfied. Other factors considered were province of residence, age, sex, education, marital status, living arrangement, household income, and chronic conditions. These factors were self-reported. Bivariate analyses using χ2 tests were conducted for categorical variables. Logistic regression models were constructed with the outcome of life satisfaction, after which a series of models were constructed, adjusting for province of residence, age, and sex, for sociodemographic factors, and for health-related factors. To report on differences in the factors associated with life satisfaction in the different areas, logistic regression models were constructed, including main effects for the variable of interest, for the variable rurality, and for the interaction term between these two variables. RESULTS: Individuals living in rural areas were more satisfied with life than their urban counterparts (odds ratio (OR)=1.23; 95% confidence interval (CI): 1.13-1.35), even after accounting for the effect of confounding sociodemographic and health-related factors (OR=1.32, 95%CI: 1.19-1.45). Those living in mixed (OR=1.30, 95%CI: 1.14-1.49) and peri-urban (OR=1.21, 95%CI: 1.07-1.36) areas also reported being more satisfied than those living in urban areas. In addition, a positive association was found between life satisfaction and age, as well as between life satisfaction and being female. A strong graded association was noted between income and life satisfaction. Most chronic conditions were associated with lower life satisfaction. Finally, no major interaction was noted between rurality and each of the previously mentioned different factors associated with life satisfaction. CONCLUSION: Rural-urban differences in life satisfaction were found, with higher levels of life satisfaction in rural populations compared to urban populations. Preventing and treating common chronic illness, and also reducing inequalities in income, may prove useful to improving life satisfaction in both rural and urban areas. Studies of life satisfaction should consider rurality as a potential confounding factor in analyses of life satisfaction within and across societies.

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BACKGROUND: To determine the incidence and prevalence patterns of activity of daily living (ADL) impairments in ageing men. METHODS: 3,983 men were enrolled in the Manitoba Follow-up Study (MFUS) cohort study in 1948. From 1996 onwards, functional status was measured. We classified basic (BADL) and instrumental (IADL) into mutually exclusive categories as a time dependant factor after the second survey wave as: First survey response; no limitation; incident (first episode of disability); persistent (limitation which was seen on all questionnaires after the incident episode); resilient (noted in previous surveys but not present); and recurrent (noted in present survey, and limitations noted as present and absent in previous surveys). RESULTS: There were 1,745 participants in 1996 at a mean age of 76 years. Incident BADL limitations increased substantially with age: from 1% at age 75 to 15% at age 95. Similarly, persistent limitations increased with age: from 0.4% at age 75 to 18% at age 95. However, BADL function was fluid, with many individuals grouped within the resilient and recurrent patterns. Similar age effects and variability were noted in IADLs. CONCLUSION: New and persistent disabilities are highly associated with age. However, there is considerable change in functional status over time.

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OBJECTIVE: To determine the mean number of chronic diseases in Canadians aged 45 to 85 years who are living in the community, and to characterize the association of multimorbidity with age, sex, and social position. DESIGN: An analysis of data from the Canadian Longitudinal Study on Aging. The number of self-reported chronic diseases was summed, and then the mean number of chronic health problems was standardized to the 2011 Canadian population. Analyses were conducted stratified on sex, age, individual income, household income, and education level. SETTING: Canada. PARTICIPANTS: A total of 21 241 community-living Canadians aged 45 to 85 years. MAIN OUTCOME MEASURES: Overall, 31 chronic diseases (self-reported from a list) were considered, as were risk factors that were not mental health conditions or acute in nature. Age, sex, education, and household and individual incomes were also self-reported. RESULTS: Multimorbidity was common, and the mean number of chronic illnesses was 3.1. Women had a higher number of chronic illnesses than men. Those with lower income and less education had more chronic conditions. The number of chronic conditions was strongly associated with age. The mean number of conditions was 2.1 in those aged 45 to 54; 2.9 in those 55 to 64; 3.8 in those aged 65 to 74, and 4.8 in those aged 75 and older (P < .05, ANOVA [analysis of variance]). CONCLUSION: Multimorbidity is common in the Canadian population and is strongly related to age.

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BACKGROUND: Self-rated health (SRH) predicts death, but there are few studies over long-time horizons that are able to explore the effect age may have on the relationship between SRH and mortality. OBJECTIVES: 1. To determine how SRH evolves over 20 years; and 2. To determine if SRH predicts death in very old men. METHODS: We analyzed a prospective cohort study of men who were fit for air crew training in the Second World War. In 1996, a regular questionnaire was administered to the 1,779 surviving participants. SRH was elicited with a 5-point Likert Scale with the categories: excellent, very good, good, fair and poor/bad. We examined the age-specific distribution of SRH in these categories from the age of 75 to 95 years, to the end of the follow-up period in 2018. We constructed age-specific Cox proportional hazard models with an outcome of time to death. RESULTS: SRH declined with age. The gradient in risk of death persisted across all ages; those with poor/fair/bad SRH had consistently higher mortality rates. However, the discrimination between good and excellent was less in those aged 85+. CONCLUSIONS: SRH declines with advancing age, but continues to predict death in older men.