Keyword search (4,163 papers available)

"composition" Keyword-tagged Publications:

Title Authors PubMed ID
1 Sagittal abdominal diameter and abdominal aortic calcification are associated with incident major adverse cardiovascular events: The Manitoba Bone Density Registry Abraha HN; Gebre AK; Sim M; Smith C; Gilani SZ; Ilyas Z; Zarzour F; Schousboe JT; Lix LM; Binkley N; Reid S; Monchka BA; Kimelman D; Lewis JR; Leslie WD; 41903786
ENCS
2 Metaphors in context and in isolation: Familiarity, aptness, concreteness, metaphoricity, and structure norms for 300 two-word expressions Pissani L; de Almeida RG; 41491452
PSYCHOLOGY
3 Multilevel Estimation of the Relative Impacts of Social Determinants on Income-Related Health Inequalities in Urban Canada: Protocol for the Canadian Social Determinants Urban Laboratory Plante C; Datta Gupta S; Bandara T; Beland D; Blaser C; Camillo CA; Villa E; Dutton D; Fuller D; Hasselback J; Lix LM; Marouzi A; Muhajarine N; Notten G; Reimer B; Wolfson M; Young M; Concha DY; Neudorf C; 41313634
SOCANTH
4 Real-time motion detection using dynamic mode decomposition Mignacca M; Brugiapaglia S; Bramburger JJ; 40421310
MATHSTATS
5 Patterns of Cerebellar-Cortical Structural Covariance Mirror Anatomical Connectivity of Sensorimotor and Cognitive Networks Alasmar Z; Chakravarty MM; Penhune VB; Steele CJ; 39791308
SOH
6 Ce-doped MnOx mixed with polyvinylidene fluoride as an amplified ozone decomposition filter medium in humid conditions Namdari M; Haghighat F; Lee CS; 39579188
ENCS
7 Regional primary preadipocyte characteristics in humans with obesity and type 2 diabetes mellitus Plissonneau C; Santosa S; 39553621
SOH
8 DEXA Body Composition Asymmetry Analysis and Association to Injury Risk and Low Back Pain in University Soccer Players Vaillancourt N; Montpetit C; Carile V; Fortin M; 38791774
SOH
9 Children and chrono-exercise: Timing of physical activity on school and weekend days depends on sex and obesity status Reid RER; Henderson M; Barnett TA; Kakinami L; Tremblay A; Mathieu ME; 38083868
MATHSTATS
10 Cervical muscle morphometry and composition demonstrate prognostic value in degenerative cervical myelopathy outcomes Naghdi N; Elliott JM; Weber MH; Fehlings MG; Fortin M; 37745653
PERFORM
11 The Effects of Combined Motor Control and Isolated Extensor Strengthening versus General Exercise on Paraspinal Muscle Morphology, Composition, and Function in Patients with Chronic Low Back Pain: A Randomized Controlled Trial Fortin M; Rye M; Roussac A; Montpetit C; Burdick J; Naghdi N; Rosenstein B; Bertrand C; Macedo LG; Elliott JM; Dover G; DeMont R; Weber MH; Pepin V; 37762861
PERFORM
12 Body-composition phenotypes and their associations with cardiometabolic risks and health behaviours in a representative general US sample Kakinami L; Plummer S; Cohen TR; Santosa S; Murphy J; 36183799
PERFORM
13 Associations of neighborhood walkability with moderate to vigorous physical activity: an application of compositional data analysis comparing compositional and non-compositional approaches Bird M; Datta GD; Chinerman D; Kakinami L; Mathieu ME; Henderson M; Barnett TA; 35585542
MATHSTATS
14 Species compositions mediate biomass conservation: the case of lake fish communities Arranz I; Fournier B; Lester NP; Shuter BJ; Peres-Neto PR; 34905222
BIOLOGY
15 Indeterminate and Enriched Propositions in Context Linger: Evidence From an Eye-Tracking False Memory Paradigm Antal C; de Almeida RG; 34744914
PSYCHOLOGY
16 Proper Orthogonal Decomposition Analysis of the Flow Downstream of a Dysfunctional Bileaflet Mechanical Aortic Valve. Darwish A, Di Labbio G, Saleh W, Kadem L 33469847
ENCS
17 Integrative approach for detecting membrane proteins. Alballa M, Butler G 33349234
CSFG
18 TooT-T: discrimination of transport proteins from non-transport proteins. Alballa M, Butler G 32321420
CSFG
19 Body composition parameters can better predict body size dissatisfaction than body mass index in children and adolescents. Dos Santos RRG, Forte GC, Mundstock E, Amaral MA, da Silveira CG, Amantéa FC, Variani JF, Booij L, Mattiello R 31338791
PSYCHOLOGY
20 Enzymes of early-diverging, zoosporic fungi. Lange L, Barrett K, Pilgaard B, Gleason F, Tsang A 31309267
CSFG
21 The Neuronal Correlates of Indeterminate Sentence Comprehension: An fMRI Study. de Almeida RG, Riven L, Manouilidou C, Lungu O, Dwivedi VD, Jarema G, Gillon B 28066204
PSYCHOLOGY

 

Title:Multilevel Estimation of the Relative Impacts of Social Determinants on Income-Related Health Inequalities in Urban Canada: Protocol for the Canadian Social Determinants Urban Laboratory
Authors:Plante CDatta Gupta SBandara TBeland DBlaser CCamillo CAVilla EDutton DFuller DHasselback JLix LMMarouzi AMuhajarine NNotten GReimer BWolfson MYoung MConcha DYNeudorf C
Link:https://pubmed.ncbi.nlm.nih.gov/41313634/
DOI:10.2196/71929
Publication:JMIR research protocols
Keywords:data linkagedecomposition analysishealth inequitymultilevel modelsocial determinants of health
PMID:41313634 Category: Date Added:2025-11-28
Dept Affiliation: SOCANTH
1 Saskatchewan Health Authority, Saskatoon, SK, Canada.
2 Department of Community Health and Epidemiology, University of Saskatchewan, Saskatoon, SK, Canada.
3 School of Public Health, University of Saskatchewan, Saskatoon, SK, Canada.
4 Department of Political Science, McGill University, Montreal, QC, Canada.
5 Department of Social and Preventive Medicine, School of Public Health, University of Montreal, Montreal, QC, Canada.
6 Johnson Shoyama Graduate School of Public Policy, University of Regina, Regina, SK, Canada.
7 Toronto Public Health, Toronto, ON, Canada.
8 Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada.
9 Department of Community Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
10 Research Department, Saskatchewan Health Authority, Saskatoon, SK, Canada.
11 Graduate School of Public and International Affairs, University of Ottawa, Ottawa, ON, Canada.
12 Department of Sociology and Anthropology, Concordia University, Montreal, ON, Canada.
13 School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
14 Department of Sociology, McMaster University, Hamilton, ON, Canada.
15 Department of Agricultural and Resource Economics, University of Saskatchewan, Saskatoon, SK, Canada.

Description:

Background: Two decades of research have highlighted persistent income-related health inequities in Canada across municipal, provincial, and national levels. While there is broad consensus among researchers, advocates, and health professionals that social determinants are the primary drivers of health, the empirical foundation supporting this remains relatively limited. A current renaissance in health system data access offers an opportunity to assess the multilevel impact of social factors on health inequalities, yet this potential remains underused.

Objective: This project aims to examine how social, economic, and political conditions shape health inequalities and investigate how structural and intermediate determinants explain disparities across national, provincial, city, neighborhood, and individual levels.

Methods: We will create the Canadian Social Determinants Urban Laboratory (CSDUL), a multilevel, longitudinal, virtual data environment that integrates 15 existing databases from Statistics Canada, the Canadian Institute for Health Information, the Canadian Urban Environmental Health Research Consortium, and DMTI Spatial. Guided by the World Health Organization social determinants of health framework, CSDUL will initially cover 2011 to 2015 due to data completeness and expand as additional years become available. CSDUL builds on Statistics Canada's Canadian Population Health Survey and will link survey data to administrative and health records, including hospital discharges, ambulatory care, mortality, cancer registries, and longitudinal tax files. Area-level indicators will be added using historical postal codes and geospatial boundaries. Organized through a hub-and-node model, CSDUL includes a central hub and 5 research nodes. We will develop and validate area-based indicators to study social determinants at micro (individual), meso (neighborhood, city, and province), and macro (national) levels. A core deliverable is to assess the strengths and limitations of survey and administrative data for health research and derive variables accordingly. After developing CSDUL, we will replicate World Health Organization Regional Office for Europe income-related health inequality analysis for urban Canada and analyze the impact of social determinants on outcomes. We will apply a 2-fold Oaxaca-Blinder decomposition between the lowest and highest urban income quintiles. A major strength of CSDUL is its capacity to analyze how diverse determinants shape health across subgroups (eg, gender), identifying key drivers of health outcomes.

Results: The indicators to be used in CSDUL are being developed and validated by the contributing nodes. In collaboration with node 3, we are constructing measures of social capital using DMTI Spatial Points of Interest data. A prototype version of CSDUL incorporating a limited set of indicators has been developed in Statistics Canada's Research Data Centre. We anticipate receiving the finalized indicators from the nodes by August 2025 to September 2025 and aim to complete the decomposition analysis by December 2025.

Conclusions: Multisectoral interventions are most effective when they are customized to meet the unique needs of specific subpopulations using robust and multilevel data sources such as CSDUL.

International registered report identifier (irrid): DERR1-10.2196/71929.





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