Correction: Associations between Social Isolation Index and changes in grip strength, gait speed, bone mineral density (BMD), and self-reported incident fractures among older adults: Results from the Canadian Longitudinal Study on Aging (CLSA)

[This corrects the article DOI: 10.1371/journal.pone.0292788.].

An Exploration of Methods to Resolve Inconsistent Self-Reporting of Chronic Conditions and Impact on Multimorbidity in the Canadian Longitudinal Study on Aging

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.

Associations between Social Isolation Index and changes in grip strength, gait speed, bone mineral density (BMD), and self-reported incident fractures among older adults: Results from the Canadian Longitudinal Study on Aging (CLSA)

BACKGROUND

The aim is to investigate whether social isolation and loneliness are associated with changes in grip strength, gait speed, BMD, and fractures.

METHODS

Canadian Longitudinal Study on Aging (CLSA) Comprehensive Cohort participants aged 65 years and older at baseline (2012-2015) who completed the three-year follow-up interview (2015-2018) were included in this analysis (n = 11,344). Social isolation and loneliness were measured using the CLSA social isolation index (CLSA-SII, range 0-10). We calculated absolute and percent change in grip strength (kg) and gait speed (m/s) and annualized absolute (g/cm2) and percent change in femoral neck and total hip BMD during the three-year follow-up. Self-reported incident fractures of all skeletal sites in the previous 12 months were measured at three-year follow-up. Multivariable analyses were conducted. Odd ratio (OR) and 95% confidence interval (CI) are reported.

RESULTS

The mean age (standard deviation [SD]) was 72.9 (5.6) years and 49.9% were female. The mean (SD) of CLSA-SII at baseline was 3.5 (1.4). Mean absolute and percentage change (SD) in grip strength (kg) and gait speed (m/s) were -1.33 (4.60), -3.02% (16.65), and -0.05 (0.17), -3.06% (19.28) during the three-year follow-up, respectively. Mean annualized absolute (g/cm2) and percentage change (SD) in femoral neck and total hip BMD were -0.004 (0.010), -0.47% (1.43) and -0.005 (0.009), -0.57% (1.09), respectively. 345 (3.1%) participants had incident fractures. As CLSA-SII increased (per one unit change), participants had 1.13 (adjusted OR 1.13, 95% CI 1.01-1.27) times greater odds for incident fractures. The interaction term between the CLSA-SII and centre for epidemiology studies depression 9 scale (CES-D 9) for self-reported incident fractures was shown (interaction OR 1.02, 95% CI 1.00-1.04).

CONCLUSIONS

Socially isolated and lonely older adults were more likely to have had incident fractures, but social isolation was not associated with the three-year changes in grip strength, gait speed, or BMD.

Overprescription of antibiotics for treating hospitalized COVID-19 patients: A systematic review & meta-analysis

Background

Empirical use of antibiotics was reported throughout the coronavirus disease of 2019 (COVID-19) pandemic; however, evidence of bacterial coinfection or secondary bacterial infection among COVID-19 patients was sparse. Antibiotic overprescription for COVID-19 patients without confirmed bacterial coinfection can increase antimicrobial resistance (AMR). The objective of this study is to assess the appropriateness of antibiotic use during COVID-19 by summarizing the frequency of antibiotic use among hospitalized COVID-19 and the frequency of antibiotic use in patients with COVID-19.

Methods

A systematic search was conducted of the Embase, Medline, Web of Science, and Cochrane Library databases by generating search terms using the concepts of "COVID-19," "Bacterial Coinfection," "Secondary bacterial infection," and "Antimicrobial resistance" to identify studies reporting antibiotic prescription for hospitalized COVID-19 patients with or without bacterial coinfection. We excluded studies on outpatients, studies informed infection due to mechanical ventilation, and randomized controlled trials. The pooled estimate of the percentage of the total and confirmed appropriate antibiotic prescriptions provided to hospitalized COVID-19 patients was generated using a random effect meta-analysis with inverse variance weighting. The study protocol registration DOI is osf.io/d3fpm.

Results

Of 157,623 participants from 29 studies (11 countries, 45 % women) included in our review, antibiotics were prescribed to 67 % of participants (CI 64 %-71 %, P < 0·001), of which 80 % (CI 76 %-83 %, P < 0·001) of prescriptions were for COVID-19 patients without confirmed bacterial coinfections. Antibiotic overprescription varied during different periods of the pandemic and between High-Income and Upper and Lower Middle-Income Countries. We found heterogeneity among the studies (I2 = 100 %). The risk of bias analysis showed that 100 % of the included studies had the proper sample framing, and we are at low risk of bias due to sampling.

Discussion

We find greater than expected use of antibiotics to treat hospitalized COVID-19 patients without bacterial coinfections, which may contribute to AMR globally. Concrete guidelines for using antibiotics to treat COVID-19 patients, strict monitoring, and administering Antimicrobial Stewardship are needed to prevent overprescription.

Examining the immediate and ongoing impact of the COVID-19 pandemic on population-based estimates of dementia: a population-based time series analysis in Ontario, Canada

OBJECTIVES

Population-based chronic disease surveillance systems were likely disrupted by the COVID-19 pandemic. The objective of this study was to examine the immediate and ongoing impact of the COVID-19 pandemic on the claims-based incidence of dementia.

METHODS

We conducted a population-based time series analysis from January 2015 to December 2021 in Ontario, Canada. We calculated the monthly claims-based incidence of dementia using a validated case ascertainment algorithm drawing from routinely collected health administrative data. We used autoregressive linear models to compare the claims-based incidence of dementia during the COVID-19 period (2020-2021) to the expected incidence had the pandemic not occurred, controlling for seasonality and secular trends. We examined incidence by source of ascertainment and across strata of sex, age, community size and number of health conditions.

RESULTS

The monthly claims-based incidence of dementia dropped from a 2019 average of 11.9 per 10 000 to 8.5 per 10 000 in April 2020 (32.6% lower than expected). The incidence returned to expected levels by late 2020. Across the COVID-19 period there were a cumulative 2990 (95% CI 2109 to 3704) fewer cases of dementia observed than expected, equivalent to 1.05 months of new cases. Despite the overall recovery, ascertainment rates continued to be lower than expected among individuals aged 65-74 years and in large urban areas. Ascertainment rates were higher than expected in hospital and among individuals with 11 or more health conditions.

CONCLUSIONS

The claims-based incidence of dementia recovered to expected levels by late 2020, suggesting minimal long-term changes to population-based dementia surveillance. Continued monitoring of claims-based incidence is necessary to determine whether the lower than expected incidence among individuals aged 65-74 and in large urban areas, and higher than expected incidence among individuals with 11 or more health conditions, is transitory.

Mobility screening for fall prediction in the Canadian Longitudinal Study on Aging (CLSA): implications for fall prevention in the decade of healthy ageing

Background

Guidelines for fall prevention in older adults recommend mobility screening for fall risk assessment; however, there is no consensus on which test to use and at what cutoff. This study aimed to determine the accuracy and optimal cut-off values of commonly used mobility tests for predicting falls in the Canadian Longitudinal Study on Aging (CLSA).

Methods

Mobility tests at baseline included the Timed Up and Go (TUG), Single Leg Stance (SLS), chair-rise and gait speed. Inclusion criteria were: age ≥ 65 years and meeting first-level fall screening criteria (i.e. history of a fall or mobility problem) at baseline. Accuracy of fall prediction at 18-months for each test was measured by the area under the receiver operating curve (AUC).

Results

Of 1,121 participants that met inclusion criteria (mean age 75.2 ± 5.9 years; 66.6% women), 218 (19.4%) reported ≥one fall at 18 months. None of the tests achieved acceptable accuracy for identifying individuals with ≥one fall at follow-up. Among women 65–74 and 75–85 years, the TUG identified recurrent fallers (≥two falls) with optimal cut-off scores of 14.1 and 12.9 s (both AUCs 0.70), respectively. Among men 65–74 years, only the SLS showed acceptable accuracy (AUC 0.85) for identifying recurrent fallers with an optimal cutoff of 3.6 s.

Conclusions

Our findings indicate that commonly used mobility tests do not have sufficient discriminability to identify fallers in a population-based sample of community-dwelling older adults. The TUG and SLS can identify recurrent fallers; however, their accuracy and cut-off values vary by age and sex.

Associations of functional disability and behavioural risk factors with social participation of older adults: a cross-sectional analysis from the Canadian Longitudinal Study on Aging

OBJECTIVES

To examine: (1) the associations of functional disability and behavioural risk factors with social participation; and (2) whether the association between functional disability and social participation is modified by co-occurrence of behavioural risk factors.

DESIGN

A cross-sectional analysis of data from the Canadian Longitudinal Study on Aging.

SETTING

A national stratified sample of 51 388 individuals living in the 10 Canadian provinces at the time of baseline data collection (2011-2015).

PARTICIPANTS

Participants included men and women aged 45-85 years and residing in the communities in the 10 Canadian provinces.

OUTCOME MEASURES

Social participation was assessed using frequency of participant involvement in eight different social activities in the past 12 months. Responses for each category were converted into number of days per month. Total social participation score (range: 0-180) was based on summing frequencies over all eight activities representing number of social activities per month.

RESULTS

Functional disability was associated with participating in fewer social activities (difference in mean total social participation score, b=-1.1, 95% CI -1.5 to -0.7). In comparison to no behavioural risk factors, presence of any one (b=-2.7, 95% CI -3.1 to -2.3), any two (b=-4.6, 95% CI -5.0 to -4.2), any three (b=-6.3, 95% CI -6.8 to -5.9) and all four (b=-7.8, 95% CI -9.0 to -6.6) behavioural risk factors was associated with lower social participation. The association between functional disability and social participation was modified by the presence of behavioural risk factors with the lowest social participation observed for adults with disability and all four behavioural risk factors (b=-4.3, 95% CI -7.5 to -1.2).

CONCLUSIONS

Individuals with functional disabilities and behavioural risk factors are more likely to experience restrictions in social participation. Public health interventions that encourage healthy lifestyle behaviours may help mitigate the impact of functional disabilities on social participation in the ageing population.

Clustering of obesity-related characteristics: A latent class analysis from the Canadian Longitudinal Study on Aging

Measures of obesity, including body mass index (BMI) and waist circumference (WC), do not fully capture the complexity of obesity-related health risks. This study identified distinct classes of obesity-related characteristics and evaluated their associations with BMI, WC, and percent body fat (%BF) using cross-sectional data from 30,096 participants aged 45-85 in the Canadian Longitudinal Study on Aging (2011-2015). Sixteen obesity-related variables, including behavioural, metabolic, physical health, and mental health/social factors, were included in a latent class analysis to identify distinct classes of participants. Adjusted odds ratios (OR) were estimated from logistic regression for associations between each class and obesity defined by BMI, WC and %BF. Six latent classes were identified: "low-risk" (39.8%), "cardiovascular risk" (19.4%), "metabolic risk" (16.9%), "sleep and mental health risk" (12.1%), "multiple and complex risk" (6.7%), and "cardiometabolic risk" (5.1%). Compared to "low-risk", all classes had increased odds of BMI-, WC- and %BF-defined obesity. For example, the "complex and multiple risk" class was associated with obesity by BMI (OR: 10.70, 95% confidence interval (CI): 9.51, 12.04), WC (OR: 9.21, 95% CI: 8,15, 10,41) and %BF (OR: 7.54, 95% CI: 6.21, 9.16). Distinct classes of obesity-related characteristics were identified and were strongly associated with obesity defined by multiple measures.

The combined effect of behavioural risk factors on disability in aging adults from the Canadian Longitudinal Study on Aging (CLSA)

The objective of this study was to explore how behavioural risk factors (smoking, physical activity, and nutrition) cluster together and assess how clusters of behavioural risk factors are associated with functional disability by age and sex at the individual and population level. We used currently available baseline cross-sectional data from the Canadian Longitudinal Study on Aging (CLSA). The CLSA is a national, population-based longitudinal study established to understand and examine health of an aging population. This study included 51,338 Canadian men and women aged 45 to 85 years residing in the community in 10 Canadian provinces. Behavioural risk factors included smoking, physical activity, and nutrition. The main outcome used in the study was functional disability, which was assessed using a questionnaire adapted from the Older Americans Resources and Services Multidimensional Assessment Questionnaire. In this analyses of unique combinations of the risk factors of smoking, physical activity, and nutritional risk, the magnitude of the association of the behavioural risk factors with functional disability was dependent on which risk factors were included and differed by age and sex strata. Of the risk factors, physical activity accounted for between 70% to 90% of the total population level risk in individuals with all three risk factors, suggesting it is a key driver of the population burden of disability. Together, these results show that considering unique clusters of risk factors, as well as age and sex, is essential for tailoring public health strategies to reduce the burden of disability among aging populations.

Reliability and minimal detectable change values for performance-based measures of physical functioning in the Canadian Longitudinal Study on Aging (CLSA)

BACKGROUND

The aim of this study was to determine the relative and absolute reliabilities of five key performance-based measures of physical function in the Canadian Longitudinal Study on Aging (CLSA).

METHODS

An age-stratified sub-sample of 147 participants from the CLSA who were undergoing their 3-year data collection visit participated in two repeat visits (within one week). Participants underwent tests of grip strength, 4-metre gait speed, Timed Up and Go (TUG), chair-rise and single-leg stance (left, right, mean, maximum). Intra-class correlation coefficients (ICC), standard error of measurement (SEM) and minimal detectable change (MDC) values were calculated.

RESULTS

The relative reliability for grip strength was excellent (ICC = 0.95); the TUG and single-leg stance tests had good reliability (ICC = 0.80 or 0.78-0.82, respectively); gait speed and the chair-rise test had moderate reliability (ICC=0.64 for both) for participants overall. For participants between 50 and 64 years, TUG and gait speed had poor reliabilities (ICC = 0.38 or 0.33, respectively). For participants aged 75+ years, the single-leg stance had poor reliability (ICC=0.30-0.39). The MDC90 was about 6 kg for grip strength, 2.3 seconds for TUG, 0.2 metres/second for gait speed, 5.2 seconds for chair-rise, and ranged from 22.8 to 26.2 seconds for the single-leg stance.

CONCLUSIONS

Among community-dwelling Canadians >50 years old, the reliabilities of the CLSA measures were moderate to excellent. The TUG and gait speed in the youngest age group, and the single-leg stance in oldest age group, showed poor reliability. MDC values can be used to interpret changes over time.

Body mass index, waist circumference, waist-to-hip ratio, and body fat in relation to health care use in the Canadian Longitudinal Study on Aging

BACKGROUND/OBJECTIVES

Obesity is associated with increased health care use (HCU), but it is unclear whether this is consistent across all measures of adiposity. The objectives were to compare obesity defined by body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and percent body fat (%BF), and to estimate their associations with HCU.

SUBJECTS/METHODS

Baseline data from 30,092 participants aged 45-85 years from the Canadian Longitudinal Study on Aging were included. Measures of adiposity were recorded by trained staff and obesity was defined as BMI ≥ 30.0 kg/m² for all participants and WC ≥ 88 cm and ≥102 cm, WHR ≥ 0.85 and ≥0.90, and %BF > 35% and >25% (measured using dual energy x-ray absorptiometry) for females and males, respectively. Self-reported HCU in the past 12 months was collected for any contact with a general practitioner, specialist, emergency department, and hospitalization. Pearson correlation coefficients (r) compared each measure to %BF-defined obesity, the reference standard. Relative risks (RR) and risk differences (RD) adjusted for age, sex, education, income, urban/rural, marital status, smoking status, and alcohol use were calculated, and results were age- and sex-stratified.

RESULTS

Obesity prevalence varied by measure: BMI (29%), WC (42%), WHR (62%), and %BF (73%). BMI and WC were highly correlated with %BF (r ≥ 0.70), while WHR demonstrated a weaker relationship with %BF, with differences by sex (r = 0.29 and r = 0.46 in females and males, respectively). There were significantly increased RR and RD for all measures and health care services, for example, WC-defined obesity was associated with an increased risk of hospitalization (RR: 1.40, 95% CI: 1.28-1.54 and RD per 100: 2.6, 95% CI:1.9-3.3). Age-stratified results revealed that older adult groups with obesity demonstrated weak or no associations with HCU.

CONCLUSIONS

All measures of adiposity were positively associated with increased HCU although obesity may not be a strong predictor of HCU in older adults.

Mobility Screening for Fall Risk Assessment in a Population-Based Sample of Older Adults: An Analysis From the CLSA

Existing guidelines for fall prevention in older adults recommend mobility screening for fall risk assessment; however, there is no consensus on which test to use and at what cut-off. This study aimed to determine the accuracy and optimal cut-off values of commonly used mobility tests for predicting falls in the Canadian Longitudinal Study on Aging (CLSA). Mobility tests at baseline included the Timed Up and Go (TUG), Single Leg Stance (SLS), chair-rise, and gait speed test. Inclusion criteria were: age ≥ 65 years and history of a fall or mobility problem at baseline. Accuracy of fall prediction at 18-months for each mobility test was measured by the area under the receiver operating curve (AUC). Of 1,121 participants that met inclusion criteria (mean age 75.2 ± 5.9 years; 66.6% women), 218 (19.4%) participants reported ≥1 fall at 18-months. None of the mobility tests achieved acceptable accuracy for identifying individuals with ≥1 fall at follow-up. Among women 65-74 and 75-85 years, the TUG identified recurrent fallers (≥2 falls) with optimal cut-off scores of 14.1 and 12.9 seconds (both AUCs 0.70), respectively. Among men 65-74 years, only the SLS showed acceptable accuracy (AUC 0.85) for identifying recurrent fallers with an optimal cut-off of 3.6 seconds. Our findings indicate that for a population-based sample of community-dwelling older adults, commonly used mobility tests do not have sufficient accuracy for identifying fallers. The TUG and SLS can identify older adults at risk for recurrent falls, however their accuracy and cut-off values vary by age and sex.

Respiratory and upper limb function as outcome measures in ambulant and non-ambulant subjects with Duchenne muscular dystrophy: A prospective multicentre study

The field of translational research in Duchenne muscular dystrophy (DMD) has been transformed in the last decade by a number of therapeutic targets, mostly studied in ambulant patients. A paucity of studies focus on measures that capture the non-ambulant stage of the disease, and the transition between the ambulant and non-ambulant phase. In this prospective natural history study, we report the results of a comprehensive assessment of respiratory, upper limb function and upper limb muscle strength in a group of 89 DMD boys followed in 3 European countries, 81 receiving corticosteroids, spanning a wide age range (5-18 years) and functional abilities, from ambulant (n = 60) to non-ambulant (n = 29). Respiratory decline could be detected in the early ambulatory phase using Peak Expiratory Flow percentage predicted (PEF%), despite glucocorticoid use (mean annual decline: 4.08, 95% CI [-7.44,-0.72], p = 0.02 in ambulant; 4.81, 95% CI [-6.79,-2.82], p < 0.001 in non-ambulant). FVC% captured disease progression in non-ambulant DMD subjects, with an annual loss of 5.47% (95% CI [-6.48,-4.45], p < 0.001). Upper limb function measured with the Performance of Upper Limb (PUL 1.2) showed an annual loss of 4.13 points (95% CI [-4.79,3.47], p < 0.001) in the non-ambulant cohort. Measures of upper limb strength (MyoGrip and MyoPinch) showed a continuous decline independent of the ambulatory status, when reported as percentage predicted (grip force -5.51%, 95% CI [-6.54,-4.48], p < 0.001 in ambulant and a slower decline -2.86%; 95% CI -3.29,-2.43, p < 0.001, in non-ambulant; pinch force: -2.66%, 95% CI [-3.82,-1.51], p < 0.001 in ambulant and -2.23%, 95% CI [-2.92,-1.53], p < 0.001 in non-ambulant). Furthermore, we also explored the novel concept of a composite endpoint by combining respiratory, upper limb function and force domains: we were able to identify clear clinical progression in patients in whom an isolated measurement of only one of these domains failed to appreciate the yearly change. Our study contributes to the field of natural history of DMD, linking the ambulant and non-ambulant phases of the disease, and suggests that composite scores should be explored further.