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Objective: The objective is to characterize the impact of COVID-19 on major healthcare for diabetes, including hospitalization, emergency department (ED) visits and primary care visits in Alberta, Canada. Methods: Participants from Alberta's Tomorrow Project (ATP) with pre-existing diabetes prior to 1 April 2018 were included and followed up to 31 March 2021. A time-segmented regression model was used to characterize the impact of COVID-19 on healthcare utilization after adjusting for seasonality, socio-demographic factors, lifestyle behaviors and comorbidity profile of patients. Results: Among 6099 participants (53.5% females, age at diagnosis 56.1 ± 9.9 y), the overall rate of hospitalization, ED visits and primary care visits was 151.5, 525.9 and 8826.9 per 1000 person-year during the COVID-19 pandemic (up to 31 March 2021), which means they reduced by 12% and 22% and increased by 6%, compared to pre-pandemic rates, respectively. Specifically, the first COVID-19 state of emergency (first wave of the outbreak) was associated with reduced rates of hospitalization, ED visits and primary care visits, by 79.4% (95% CI: 61.3–89.0%), 93.2% (95% CI: 74.6–98.2%) and 65.7% (95% CI: 47.3–77.7%), respectively. During the second state of emergency, healthcare utilization continued to decrease; however, a rebound (increase) of ED visits was observed during the period when the public health state of emergency was relaxed. Conclusion: The declared COVID-19 states of emergency had a negative impact on healthcare utilization for people with diabetes, especially for hospital and ED services, which suggests the importance of enhancing the capacity of these two healthcare sectors during future COVID-19-like public health emergencies. [ABSTRACT FROM AUTHOR]

Aim: To characterize the impact of the COVID‐19 pandemic on diabetes diagnosis using data from Alberta's Tomorrow Project (ATP), a population‐based cohort study of chronic diseases in Alberta, Canada. Materials and Methods: The ATP participants who were free of diabetes on 1 April 2018 were included in the study. A time‐segmented regression model was used to compare incidence rates of diabetes before the COVID‐19 pandemic, during the first two COVID‐19 states of emergency, and in the period when the state of emergency was relaxed, after adjusting for seasonality, sociodemographic factors, socioeconomic status, and lifestyle behaviours. Results: Among 43 705 ATP participants free of diabetes (65.5% females, age 60.4 ± 9.5 years in 2018), the rate of diabetes was 4.75 per 1000 person‐year (PY) during the COVID‐19 pandemic (up to 31 March 2021), which was 32% lower (95% confidence interval [CI] 21%, 42%; p < 0.001) than pre‐pandemic (6.98 per 1000 PY for the period 1 April 2018 to 16 March 2020). In multivariable regression analysis, the first COVID‐19 state of emergency (first wave) was associated with an 87.3% (95% CI −98.6%, 13.9%; p = 0.07) reduction in diabetes diagnosis; this decreasing trend was sustained to the second COVID‐19 state of emergency and no substantial rebound (increase) was observed when the COVID‐19 state of emergency was relaxed. Conclusions: The COVID‐19 public health emergencies had a negative impact on diabetes diagnosis in Alberta. The reduction in diabetes diagnosis was likely due to province‐wide health service disruptions during the COVID‐19 pandemic. Systematic plans to close the post‐COVID‐19 diagnostic gap are required in diabetes to avoid substantial downstream sequelae of undiagnosed disease. [ABSTRACT FROM AUTHOR]

Background: Scarce are the studies focusing on initiation of new mental health service use (MHSU) and distinguishing individuals who have sought services but have been unsuccessful in accessing these. Aims: Assessing the factors associated with initiating new MHSU as compared to no MHSU due to self-reported no need, no MHSU due to health system and personal barriers and MHSU using resources already in place. Methods: The sample included participants (n = 16,435) in the five established regional cohorts of the Canadian Partnership for Tomorrow's Health (CanPath) who responded to the CanPath COVID-19 health surveys (May–December 2020 and January–June 2021). Multinomial regression analyses were carried out to study MHSU since the pandemic (March 2020) as a function of predisposing, enabling and need factors. Analyses were carried out in the overall sample and restricted to those with moderate and severe symptoms (MSS) of depression and/or anxiety (n = 2,237). Results: In individuals with MSS of depression and/or anxiety, 14.4% reported initiating new MHSU, 22.0% had no MHSU due to barriers and personal reasons and 36.7% had no MHSU due to self-reported no need. Age, living alone, lower income, a decrease in income during the pandemic and health professional status were associated with MHSU. Younger adults were more likely to initiate MHSU during the pandemic than older adults who reported not being comfortable to seek mental health care or self-reported no need. Individuals living alone and with lower income were more likely to report not being able to find an appointment for mental health care. Conclusions: Awareness campaigns focusing on older adults that explain the importance of seeking treatment is needed, as well as sensitising health professionals as to the importance of informing and aiding individuals at risk of social isolation and lower socio-economic status as to available mental health resources and facilitating access to care. [ABSTRACT FROM AUTHOR]

Background: European studies have shown that nonfasting remnant cholesterol can be a strong predictor of cardiovascular disease risk and may contribute to identifying residual risk; however, Canadian data are lacking on nonfasting remnant cholesterol. In this study, we aimed to determine the relation between nonfasting remnant cholesterol, low-density lipoprotein (LDL) cholesterol and cardio vascular disease among people in Alberta. Methods: In this retrospective analysis, we used data from Alberta's Tomorrow Project, a large prospective cohort that enrolled Albertans aged 35--69 years (2000--2015). Participants with consent to data linkage, with complete nonfasting lipid data and without existing cardiovascular disease were included. The nonfasting remnant cholesterol and LDL cholesterol relation with a composite cardiovascular disease outcome of major incident cardiovascular diagnoses, ascertained by linking to Alberta Health databases, was determined by multivariable logistic regression, adjusting for age, sex, statin use, comorbidities, and LDL cholesterol or remnant cholesterol. Results: The final sample of 13 988 participants was 69.4% female, and the mean age was 61.8 (standard deviation [SD] 9.7) years. Follow-up time was approximately 15 years. Mean remnant cholesterol was significantly higher among individuals with versus without cardiovascular disease (0.87 [SD 0.40] mmol/L v. 0.78 [SD 0.38] mmol/L, standardized mean difference [SMD] -0.24), and mean LDL cholesterol was significantly lower (2.69 [SD 0.93] mmol/L v. 2.88 [SD 0.84] mmol/L, SMD 0.21). The odds of incident composite cardiovascular disease were significantly increased per mmol/L increase in remnant cholesterol (adjusted odds ratio [OR] 1.48, 95% confidence interval [CI] 1.27-1.73) but significantly decreased per mmol/L increase in LDL cholesterol (adjusted OR 0.73, 95% CI 0.68-0.79). Interpretation: In this large Albertan cohort of predominantly older females, nonfasting remnant cholesterol had a positive relation with cardiovascular disease incidence, whereas LDL cholesterol did not. These findings support the clinical utility of measuring non- fasting remnant cholesterol to detect cardiovascular disease risk. [ABSTRACT FROM AUTHOR]

Objectives To characterise the sex-specific difference in the association between anthropometric changes and risk of diabetes in the general population in Canada. Setting and participants From 2000 to 2008, Alberta's Tomorrow Project (ATP) invited Alberta's residents aged 35-69 years to a prospective cohort study. A total of 19 655 diabetes-free ATP participants having anthropometrics measured at the baseline and follow-ups were included. Design and outcome measures A longitudinal study design was used to examine the association between anthropometric changes and risk of diabetes and the sex difference in this association. Changes in weight, body mass index (BMI), waist circumference (WC) and waist-hip-ratio (WHR) were calculated as the difference between baseline and follow-up measures. Diabetes cases were identified using the Canadian National Diabetes Surveillance System algorithm with administrative healthcare data (2000-2015) linked to the ATP cohort. The sex-specific association between anthropometric changes and incidence of diabetes were examined by multivariable Cox regression models. Results Changes in weight, BMI, WC and WHR over time were positively associated with incidence of diabetes in both men and women. The sex difference in risk of diabetes associated with 1 standard deviation (SD) increase in anthropometrics was 0.07 (95% CI -0.02 to 0.14) for weight, 0.08 (95% CI -0.03 to 0.17) for BMI, 0.07 (95% CI -0.02 to 0.15) for WC and 0.09 (95% CI 0.03 to 0.13) for WHR. Similar results were found in sex difference in the associations with changes per 5% and changes per categories (5% loss, ±5%, 5% gain). Conclusions The positive association between anthropometric changes and risk of diabetes was generally stronger in men than in women. However, this sex-specific difference of approximately 10% of the total risk associated with anthropometric changes had limited significance. For population-based public health programmes aiming to control obesity and incidence of diabetes, it may not be necessary to set up sex-specific goals for anthropometric reduction. [ABSTRACT FROM AUTHOR]