Publications by authors named "Stranges S"

Background: There is an increasing prevalence of multiple conditions (multimorbidity) and multiple medications (polypharmacy) across many populations. Previous literature has focused on the prevalence and impact of these health states separately, but there is a need to better understand their co-occurrence.

Methods And Findings: This study reported on multimorbidity and polypharmacy among middle-aged and older adults in two national datasets: the Canadian Longitudinal Study on Aging (CLSA) and the Canadian Primary Care Sentinel Surveillance Network (CPCSSN).

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Background: Given the chronic immune activation and inflammatory milieu associated with Long COVID and HIV, we assessed the prevalence of Long COVID in adults living with HIV; and investigated whether adults living with HIV were associated with increased chance of developing Long COVID compared to adults living without HIV.

Methods: In this systematic review and meta-analysis, we searched Medline, EMBASE, CINHAL, PubMed and CENTRAL from inception until June 14th, 2024, for observational studies that measured the prevalence of Long COVID in adults living with HIV and the odds of developing Long COVID following a SARS-CoV-2 infection in people living with HIV compared to people living without HIV. Reviews, case reports, randomised control trials and editorials were excluded.

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Objectives: This study aimed to determine the association between progression and mortality in individuals with stage 1 cancer and their recorded physical activity before the diagnosis of the cancer.

Methods: We included 28 248 members with stage 1 cancers enrolled in an oncology programme in South Africa. Physical activity was recorded using fitness devices, logged gym sessions and participation in organised fitness events.

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Background: In children with type 1 diabetes (T1D), diabetic ketoacidosis (DKA) triggers a significant inflammatory response; however, the specific effector proteins and signaling pathways involved remain largely unexplored. This pediatric case-control study utilized plasma proteomics to explore protein alterations associated with severe DKA and to identify signaling pathways that associate with clinical variables.

Methods: We conducted a proteome analysis of plasma samples from 17 matched pairs of pediatric patients with T1D; one cohort with severe DKA and another with insulin-controlled diabetes.

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Brucellosis remains a significant public health concern, especially in regions like the Mediterranean and Afghanistan. While its direct health effects are well-documented, its impact on quality of life is less explored. This study investigated the risk factors and quality of life effects of brucellosis in Herat, Afghanistan.

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Background: Diabetic ketoacidosis (DKA) is a serious complication of type 1 diabetes (T1D), arising from relative insulin deficiency and leading to hyperglycemia, ketonemia, and metabolic acidosis. Early detection and treatment are essential to prevent severe outcomes. This pediatric case-control study utilized plasma metabolomics to explore metabolic alterations associated with DKA and to identify predictive metabolite patterns.

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The essential role of sleep in overall health is increasingly recognized, yet it remains underemphasized in both clinical and public health contexts. Despite extensive research linking poor sleep health to chronic conditions such as cardiovascular disease, type 2 diabetes, and cognitive decline, sleep health is not routinely assessed or integrated into standard care practices. Sleep problems, including insomnia, sleep apnea, and poor sleep quality, are prevalent globally, affecting over 30 % of the population and contributing to significant public health burdens like cardiometabolic disease, mental health disorders and multimorbidity.

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Background: Obesity disproportionately impacts men's health yet fewer men engage in preventive healthcare. We examined the effectiveness of Hockey Fans in Training (Hockey FIT), a gender-sensitised lifestyle intervention that engages men with overweight/obesity through their passion as fans of a local sports team, on weight change and other health indicators.

Methods: Pragmatic, cluster randomised trial (aged 35-65 years, body mass index ≥ 27 kg/m) within 42 community-based sites in Canada and the United States, randomly assigned (1:1) to intervention (Hockey FIT) or control (wait-list) and stratified by region.

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Introduction: Emerging studies on the links between suboptimal oral health and multimorbidity (MM), or the co-existence of multiple chronic conditions, have raised controversy as to whether enhancing access to dental care may mitigate MM in those with suboptimal oral health. In this study, we aim to assess the extent of the association between suboptimal oral health and MM and whether access to dental care can modify this association.

Methods: We conducted a cross-sectional analysis using data from the Canadian Longitudinal Study on Aging (CLSA) (N = 44,815, 45 to 84 y old).

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Article Synopsis
  • * The study used health data to assess adults with CKD from 2010 to 2019, focusing on the relationship between body mass index (BMI) and the progression of kidney disease.
  • * Findings showed an increase in obesity prevalence (BMI ≥30 kg/m) from CKD G1 to G4, and a decrease in G5D and transplant categories, indicating variations in health outcomes based on BMI and CKD stage.
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Background: Surgery is an indispensable component of a functional healthcare system. To date there is limited information regarding how many people die during the perioperative period globally. This study describes a protocol for a systematic review and multilevel meta-regression to evaluate time trends regarding the odds of perioperative mortality among adults undergoing a bellwether surgical procedure while accounting for higher order clustering at the national level.

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Background: Dental attendance is important for the prevention, diagnosis, and treatment of oral diseases. In this study, we aimed to assess the extent of the association between dental visits, inadequate oral health, and multimorbidity (MM), and whether this association differs by age and sex.

Methods: We conducted a cross-sectional analysis of the first follow-up wave (2018) of the Canadian Longitudinal Study on Aging (CLSA).

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Objectives: To identify COVID-19 infectious disease models that accounted for social determinants of health (SDH).

Methods: We searched MEDLINE, EMBASE, Cochrane Library, medRxiv, and the Web of Science from December 2019 to August 2020. We included mathematical modelling studies focused on humans investigating COVID-19 impact and including at least one SDH.

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Objective: Middle-aged to older adults often exhibit the co-existence of poor sleep health and multimorbidity. We examined cross-sectional and prospective associations of pooled index of sleep health with prevalent and incident multimorbidity in the framework of an ongoing cohort study in Canada.

Methods: Data were from approximately 24,000 individuals from the Canadian Longitudinal Study on Aging (CLSA), an ongoing national study of community-dwelling adults aged 45-85 years at baseline.

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Background: Infectious disease (ID) models have been the backbone of policy decisions during the COVID-19 pandemic. However, models often overlook variation in disease risk, health burden, and policy impact across social groups. Nonetheless, social determinants are becoming increasingly recognized as fundamental to the success of control strategies overall and to the mitigation of disparities.

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Background And Objectives: The current Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system instructs appraisers to evaluate whether individual observational studies have sufficiently adjusted for confounding. However, it does not provide an explicit, transparent, or reproducible method for doing so. This article explores how implementing causal graphs into the GRADE framework can help appraisers and end-users of GRADE products to evaluate the adequacy of confounding control from observational studies.

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Double ionization spectra of isothiocyanic acid (HNCS) have been measured using multi-electron and multi-ion coincidence techniques combined with high-level theoretical calculations. The adiabatic double ionization energy of HNCS is found at 27.1 ± 0.

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We report the x-ray absorption spectrum (XAS) of the tert-butyl radical, C4H9. The radical was generated pyrolytically from azo-tert-butane, and the XAS of the pure radical was obtained by subtraction of spectra recorded at different temperatures. The bands in the XAS were assigned by ab initio calculations that are in very good agreement with the experimental data.

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We examined rural and urban prevalence and correlates of overweight/obesity among women of reproductive age using survey data from Nigeria. Overweight and obesity prevalence increased from 16.1% and 6.

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Objective: Hypertension (HTN) is a common comorbidity in RA. This study aimed to explore the prevalence and incidence of HTN and baseline factors associated with incident HTN in early RA (ERA).

Methods: Data were from the Canadian Early Arthritis Cohort (CATCH), an inception cohort of ERA patients having <1 year of disease duration.

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Background: Luxembourg experienced major consecutive SARS-CoV-2 infection waves due to Omicron variants during 2022 while having achieved a high vaccination coverage in 2021. We investigated the risk factors associated to severe outcomes (i.e.

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Article Synopsis
  • - Maternal nutritional status, particularly body mass index (BMI) and anaemia, has a significant impact on child undernutrition in West Africa, where issues like stunting, wasting, and underweight are prevalent among under-five children.
  • - The study analyzed data from 13 West African countries (2010-2019) using Poisson regression and structural equation modeling, revealing that low birth weight (LBW) mediates the relationship between maternal undernutrition and various forms of child undernutrition.
  • - The findings indicate that addressing maternal undernutrition and reducing LBW rates are crucial for improving child health outcomes, and it is recommended that policymakers incorporate strategies targeting these issues.
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Background: The COVID-19 pandemic has prompted the deployment of digital technologies for public health surveillance globally. The rapid development and use of these technologies have curtailed opportunities to fully consider their potential impacts (eg, for human rights, civil liberties, privacy, and marginalization of vulnerable groups).

Objective: We conducted a scoping review of peer-reviewed and gray literature to identify the types and applications of digital technologies used for surveillance during the COVID-19 pandemic and the predicted and witnessed consequences of digital surveillance.

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