This table summarizes the data that may be requested through the CLSA’s online application system, Magnolia. An ‘x’ indicates the data modules that are currently available for request (‘-’ indicates that this module was not collected while a blank cell indicates that the module is not yet available). The CLSA only accepts applications for data that are included in this table at the time of submission. Applications proposing the use of data that are not included in this table will not be considered for review, and you will need to re-apply once those data become available. This table will be updated regularly to reflect changes in data availability.
- Important notes:
- Please see footnotes for additional information when indicated
- Please refer to the Researcher Resources section (e.g., questionnaires, data dictionaries, data support documentation) of the CLSA’s website for details on each module
- The letters within the parentheses refer to the root of the variable name, and in some cases, the corresponding module
- Datasets do not include identifiable information collected (e.g., name, contact information, date of birth, health insurance number, and full postal code)
- Datasets include sampling weights
QUESTIONNAIRE DATA
Socio-Demographic Characteristics
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Age (AGE) | x | x | x | x | x | x | x | x |
| Sex (SEX) | x | x | – | – | – | – | – | – |
| Gender Identity (SDC) | – | – | x | x | x | x | x | x |
| Country of birth (SDC) | x | x | – | – | – | – | – | – |
| Ethnicity (SDC)1 | x | x | – | – | – | – | – | – |
| Culture (SDC)1 | x | x | – | – | – | – | – | – |
| Language (SDC)1 | x | x | – | – | – | – | – | – |
| Veteran Identifiers (VET) | x | x | – | – | – | – | – | – |
| Education (ED) | x | x | x | x | x | x | x | x |
| Province of residence (WGHTS) | x | x | x | x | x | x | x | x |
| Urban / Rural Classification (SDC) | x | x | x | x | x | x | x | x |
| Religion (SDC) | x | x | x | x | x | x | x | x |
| Marital status (SDC) | x | x | x | x | x | x | x | x |
| Sexual orientation (SDC) | x | x | x | x | – | – | – | – |
| Income (INC) | x | x | x | x | x | x | x | x |
| Wealth (WEA) | x | x | x | x | x | x | x | x |
| Home ownership (OWN) | x | x | x | x | x | x | x | x |
| Population centre (SDC) | x | x | x | x | x | x | x | x |
| Population density (SDC) | x | x | x | x | x | x | x | x |
Notes:
1 These variables include Indigenous identity information. To request Indigenous identifiers data, adequate justification must be provided in the Indigenous Identifiers section of the Data Checklist, describing how you intend to use Indigenous identifiers in your analyses and how you are involving Indigenous organizations, people and governing bodies in your project. Please review considerations for access/use of Indigenous-identified data before applying.
Lifestyle and Behaviour
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM |
TRM | COM | TRM | COM | TRM | COM | TRM |
| Smoking (SMK) | x | x | x | x | x | x | x | x |
| Alcohol use (ALC) | x | x | x | x | x | x | x | x |
| Nutrition: Short Diet Questionnaire (NUT) | x | – | x | – | x | – | x | – |
| Nutritional Risk (NUR) | x | x | x | x | x | x | x | x |
| Physical Activities (PA2) | x | x | x | x | x | x | x | x |
| Dietary Supplement Use (DSU)2 | x | x | – | x | – | x | – | x |
Notes:
2Dietary Supplement Use is collected as part of the Medications module for the Comprehensive cohort in Follow Up 1, Follow Up 2 and Follow Up 3, and not as a separate module.
Physical Health
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Self-report Height and Weight (HWT) | – | x | – | x | – | x | – | x |
| Measured Height and Weight (WGT/HGT)3 | x | – | x | – | x | – | x | – |
| Body Mass Index | x | x | x | x | x | x | x | x |
| General Health (GEN) | x | x | x | x | x | x | x | x |
| General Health – open text on healthy aging | x | x | x | x | x | x | x | x |
| Women’s Health (WHO) | x | x | x | x | x | x | x | x |
| Self-report Vision (VIS) | x | x | x | x | x | x | x | x |
| Self-report Hearing (HRG) | x | x | x | x | x | x | x | x |
| Oral Health (ORH) | x | x | x | x | x | x | x | x |
| Functional Status (FUL)4 | – | x | – | x | x | x | x | x |
| Basic Activities of Daily Living (ADL) | x | x | x | x | x | x | x | x |
| Instrumental Activities of Daily Living (IAL) | x | x | x | x | x | x | x | x |
| Sleep (SLE) | x | – | x | – | x | – | x | – |
| Snoring (SNO) | x | – | x | – | x | – | x | – |
| Pain and Discomfort (HUP) | x | x | x | x | x | x | x | x |
| Injuries (INJ) | x | x | x | x | x | x | x | x |
| Falls (FAL) | x | x | x | x | x | x | x | x |
| Health Care Utilization (HCU) | x | x | x | x | x | x | x | x |
| Life Space Index (LSI) | x | – | x | – | x | – | x | – |
| Osteoarthritis or arthritis (CCT/CCC)5 | x | x | x | x | x | x | x | x |
| Respiratory (CCT/CCC)5 | x | x | x | x | x | x | x | x |
| Cardiovascular (CCT/CCC)5 | x | x | x | x | x | x | x | x |
| Stroke (CCT/CCC)5 | x | x | x | x | x | x | x | x |
| Neurological (CCT/CCC)5 | x | x | x | x | x | x | x | x |
| Gastrointestinal (CCT/CCC)5 | x | x | x | x | x | x | x | x |
| Diseases of the eye (CCT/CCC)5 | x | x | x | x | x | x | x | x |
| Cancer (CCT/CCC)5 | x | x | x | x | x | x | x | x |
| Mental Health (CCT/CCC)5 | x | x | x | x | x | x | x | x |
| Other Conditions (CCT/CCC)5 | x | x | – | x | – | x | – | x |
| Infections (CCT/CCC)5 | x | x | x | x | x | x | x | x |
| Diabetes (DIA)6 | x | – | x | – | x | – | x | – |
| Stroke/Cerebrovascular Event6 | x | – | x | – | x | – | x | – |
| Modified Questionnaire for Verifying Stroke-Free Status6 | x | – | x | – | x | – | x | – |
| Traumatic Brain Injury (TBI)6 | x | – | x | – | x | – | x | – |
| Hypo and Hyperthyroidism (HYP)6 | x | – | x | – | x | – | x | – |
| Hypertension (HBP)6 | x | – | x | – | x | – | x | – |
| Ischemic Heart Disease (IHD)6 | x | – | x | – | x | – | x | – |
| WHO Rose Questionnaire (ROS)6 | x | – | x | – | x | – | x | – |
| Osteoarthritis of the Hand (OSA)6 | x | – | x | – | x | – | x | – |
| Osteoarthritis of the Hip (OSH)6 | x | – | x | – | x | – | x | – |
| Osteoarthritis of the Knee (OSK)6 | x | – | x | – | x | – | x | – |
| Musculoskeletal: other (OAR)6 | x | – | x | – | x | – | x | – |
| Osteoporosis (OST)6 | x | – | x | – | x | – | x | – |
| Neuropsychiatric (DPR)6 | x | – | x | – | x | – | x | – |
| Parkinsonism (PKD)6 | x | x | x | x | x | x | x | x |
| Chronic Airflow Obstruction (CAO)6 | x | – | x | – | x | – | x | – |
| Falls and Consumer Products (FAL) | x | x | – | – | – | – | – | – |
| Preventative Health Behaviours (PHB) | – | – | x | x | x | – | x | x |
| Hearing Handicap Inventory for the Elderly (HRG) | – | – | x | x | x | x | x | x |
| Unmet Health Care Needs (MET) | – | – | x | x | x | x | x | x |
| Epilepsy (EPI)7 | – | – | x | x | x | x | x | x |
| Aortic Valve Stenosis (AOR) | – | – | – | – | x | – | x | – |
| Munich ChronoType Questionnaire | – | – | – | – | – | – | x | – |
| Weight Perception | – | – | – | – | x | – | x | – |
Notes:
3Height and Weight are measured during the Data Collection Site (DCS)visit.
4This questionnaire was administered to Comprehensive cohort participants at Follow-up 1 to assess Functional Status (FUL) if a partial DCS visit was completed by phone or in person at the participant’s residence.
5Self-reported chronic conditions: ’CCT’ refers to the root of the variable name for self-reported chronic conditions in the Tracking cohort. ‘CCC’ refers to the root of the variable name for self-reported chronic conditions in the Comprehensive cohort.
6Disease symptoms and disease algorithms: The disease ascertainment algorithms are being prepared but not yet available.
7For Baseline, refer to the Neurological (CCT/CCC) module for a self-reported diagnosis of epilepsy.
Medications
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Medication Use (MED) | – | x | – | x | – | x | – | x |
| Medications (MEDI) | x | – | x | – | x | – | – | |
Psychological Health
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Depression (DEP) | x | x | x | x | x | x | x | x |
| Psychological Distress (K10) | x | – | x | – | x | – | – | – |
| Satisfaction with Life (SLS) | x | x | x | x | x | x | x | x |
| Personality Traits (PER) | x | – | x | – | – | – | – | – |
| Loneliness Scale (LONE) | – | – | x | x | x | x | x | x |
| Posttraumatic Stress Disorder (PSD) | x | x | – | – | x | – | x | – |
| Childhood Maltreatment and Health Across the Lifespan (ACE/CEX) | – | – | x | x | – | – | – | – |
| Elder Abuse (PSY/PHY/FIN) | – | – | x | x | – | – | – | – |
| Elder Abuse Suspicion Index (EAS) | – | – | – | – | – | – | x | x |
| Generalized Anxiety Disorder (GAD) | – | – | – | – | x | x | x | x |
| Positive Mental Health (PMH) | – | – | – | – | x | x | x | x |
| Intimate Partner Violence (IPV) | – | – | – | – | x | – | x | – |
| Resiliency Scale (RES) | – | – | – | – | x | – | x | – |
Cognition
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| REYI (COG) | x | x | x | x | x | x | x | x |
| REYII (COG) | x | x | x | x | x | x | x | x |
| Animal Fluency Test (COG) | x | x | x | x | x | x | x | x |
| Mental Alternation Test (COG) | x | x | x | x | x | x | x | x |
| Time-Based Prospective Memory Test (TMT) | x | – | x | – | x | – | x | – |
| Event-Based Prospective Memory Test (PMT) | x | – | x | – | x | – | x | – |
| Stroop – Victoria Version (STP) | x | – | x | – | x | – | x | – |
| Controlled Oral Word Association (FAS) | x | – | x | – | x | – | x | – |
| Choice Reaction Time (CRT) | x | – | x | – | x | – | x | – |
| Cognitive Norms (COG) | x | x | x | x | x | x | ||
| Subjective Cognitive Decline (SCD) | – | – | x | x | x | x | x | x |
| Meta Memory (MEM) | – | – | x | x | x | – | x | – |
Notes:
Individual cognition scores are released with the core questionnaire datasets. Raw data are available through special request. For more information and for details on how to request these data, please contact access@clsa-elcv.ca.
Labour Force
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Retirement Status (RET) | x | x | x | x | x | x | x | x |
| Pre-Retirement Labour Force Participation (LFP) | x | x | x | x | x | – | x | x |
| Pre-Retirement Labour Force Participation (open text)8 | x | x | x | x | x | – | x | x |
| Labour Force (LBF) | x | x | x | x | x | x | x | x |
| Labour Force (open text)8 | x | x | x | x | x | x | x | x |
| Retirement Planning (RPL) | x | x | x | x | x | x | x | x |
| Work Limitations Questionnaire (WLQ) | – | – | x | x | x | – | x | – |
Notes:
8Open text data for occupation and industry are available. These data are de-identified but not coded. Any coding of the released open text data has to be a coordinated effort between the Approved User and the CLSA. Please contact us for details access@clsa-elcv.ca.
Social Health
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Social Networks (SN) | x | x | x | x | x | x | x | x |
| Social Support – Availability (SSA) | x | x | x | x | x | x | x | x |
| Social Participation (SPA) | x | x | x | x | x | x | x | x |
| Care Receiving 1 / Formal Care (CR1) | x | x | x | x | x | x | x | x |
| Care Receiving 2 / Informal Care (CR2) | x | x | x | x | x | x | x | x |
| Care Giving (CAG) | x | x | x | x | x | x | x | x |
| Online Social Networking (INT) | x | x | x | x | x | x | x | x |
| Transportation, Mobility, Migration (TRA) | x | x | x | x | x | x | x | x |
| Built Environments (ENV) | x | x | x | x | x | x | x | x |
| Social Inequality (SEQ) | x | x | x | x | – | – | – | – |
| Social Cohesion (SPA) | – | – | x | x | x | x | x | x |
| Quality of Life | – | – | – | – | – | – | x | x |
Supplemental Questionnaire
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Healthy Sexuality (SEX) | – | – | – | – | – | – | x | x |
| Chronic Conditions (Heart failure & arrythmia) (CCT) | – | – | – | – | – | – | x | x |
| Family History (FAM) | – | – | – | – | – | – | x | x |
PHYSICAL ASSESSMENTS
Physical Assessments
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |
| Module | COM | COM | COM | COM |
| Contraindications Questionnaire (ICQ) | x | x | x | x |
| Hip and Waist Circumference (WHC) | x | x | x | x |
| 4 Metre Walk (WLK) | x | x | x | x |
| Timed Get Up and Go (TUG) | x | x | x | x |
| Standing Balance (BAL) | x | x | x | x |
| Chair Rise (CR) | x | x | x | x |
| Grip Strength (GS) | x | x | x | x |
| Pulse Rate and Blood Pressure (BP) | x | x | x | x |
| Spirometry (SPR) | x | x | x | x |
| Hearing (HRG) | x | x | x | x |
| Visual Acuity (VA) | x | x | x | x |
| Tonometry (TON) | x | x | x | x |
| Electrocardiogram (ECG) | x | x | x | x |
| Carotid Intima Media Thickness (CI) | x | x | ||
| Body Composition (Whole Body and Body Parts) (DXA) | x | x | x | x |
| Bone Density by DEXA: Dual Hip (DXA) | x | x | x | |
| Bone Density by DEXA: Forearm (DXA) | x | x | x | |
| Bone Density by DEXA: Whole Body (DXA) | x | x | x | |
| FRAX | x | |||
| Sitting Height (SIT) | – | – | x | x |
| Canadian Digit Triplet Test (DTT) | – | – | x | x |
| Machine Learning Abdominal Aortic Calcification 24 Point Scores (ML-AAC24) |
x | |||
| Sleep Tracker Muse9 | – | – | – | x |
Notes:
9These data are only available in a subset of participants that were eligible to complete an MRI as part of Healthy Brains, Healthy Aging (N=~700 at Follow-up 3).
For a detailed list of the physical assessment variables please consult the Physical Assessments Summary Table available in the Data and Biospecimens section of the CLSA website. Standardized procedures for Baseline, Follow Up 1 and Follow Up 2 physical assessments are also available on the CLSA website.
BLOOD BIOMARKERS
Hematology Report
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |
| Module | COM | COM | COM | COM |
| White blood cells (WBC) | x | x | x | |
| Lymphocytes (relative number) (LY_PER) | x | x | x | |
| Monocytes (relative number) (MO_PER) | x | x | x | |
| Granulocytes (relative number) (GR_PER) | x | x | x | |
| Lymphocytes (absolute number) (LY_NB) | x | x | x | |
| Monocytes (absolute number) (MO_NB) | x | x | x | |
| Granulocytes (absolute number) (GR_NB) | x | x | x | |
| Red blood cells (RBC) | x | x | x | |
| Hemoglobin (Hgb) | x | x | x | |
| Hematocrit (Hct) | x | x | x | |
| Mean corpuscular volume (MCV) | x | x | x | |
| Mean corpuscular hemoglobin (MCH) | x | x | x | |
| Mean corpuscular hemoglobin concentration (MCHC) | x | x | x | |
| Red blood cell distribution width (RDW) | x | x | x | |
| Platelets (Plt) | x | x | x | |
| Mean platelet volume (MPV) | x | x | x |
Chemistry Report
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |
| Module | COM | COM | COM | COM |
| Albumin (ALB) | x | x | x | |
| Alanine aminotransferase (ALT) | x | x | x | |
| High Sensitivity C-reactive protein (HSCRP) | x | x | x | |
| Creatinine (CREAT) | x | x | x | |
| Total Cholesterol (CHOL) | x | x | x | |
| Ferritin (FERR) | x | x | x | |
| Free Thyroxine (FT4) | x | x | x | |
| High-Density Lipoprotein (HDL) | x | x | x | |
| Low-Density Lipoprotein (LDL) | x | x | x | |
| Non-High Density Lipoprotein (non-HDL) | x | x | x | |
| Thyroid Stimulating Hormone (TSH) | x | x | x | |
| Triglycerides (TRIG) | x | x | x | |
| 25 – Hydroxyvitamin D (VITD) | x | – | – | – |
| Hemoglobin A1c (HBA1c) | x | x | x | |
| Glomerular Filtration Rate estimate (eGFR) | x | – | – | – |
| IL-6* | x | – | – | – |
| TNF-alpha* | x | – | – | – |
| High-Sensitivity Troponin T (hsTnT) | – | x | x | |
| NT-proBNP | – | x | x | |
| Urea | – | – | x |
*N=10,000
GENOMICS
GENOMICS (N= 26,622)
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Genomics | x | |||||||
Genotypes (Affymetrix Axiom array, 794k SNPs)
Imputation (TOPMed Panel, 308M SNPs)
EPIGENETICS
EPIGENETICS (N= 1,479)
| Baseline | Follow Up 1 | Follow Up 2 | |||||
| COM | TRM | COM | TRM | COM | TRM | ||
| Epigenetics | x | ||||||
Raw data, IDAT format (Illumina Infinium MethylationEPIC Beadchip, 850k probes)
Raw data, CSV format (Beta values, no processing performed)
Processed data, CSV format (Beta values, background corrected, normalized, and probe filtered)
DNA methylation age estimates, CSV format
METABOLOMICS
METABOLOMICS (N= ~9,500)
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Metabolomics | x | |||||||
Peak area data, batch-normalized data, batch-normalized imputed data, chemical annotation, and sample metadata, Excel format.
ENVIRONMENTAL INDICATORS
When requesting these data, please note that if your CLSA Data and Biospecimen Request Application is approved, you will also be required to sign a Data Sharing and Use via Approved Third Party Agreement on the CANUE website and submit it to the CLSA.
Air Quality
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Nitrogen Dioxide | x | x | x | x | ||||
| Sulfur Dioxide | x | x | ||||||
| Ozone | x | x | x | x | x | x | ||
| Fine Particulate Matter | x | x | x | x | ||||
| Smoke Exposure | x | x | x | x | ||||
| Proximity to Roadways | x | x | ||||||
Neighborhood Factors
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Material and Social Deprivation Indices | x | x | x | x | x | x | ||
| Canadian Active Living Environments (Can-ALE) data | x | x | x | x | ||||
| Nighttime Light | x | x | ||||||
| Canadian Food Environment Dataset (Can-FED) | x | x | ||||||
| Canadian Access to Employment | x | x | ||||||
| Canadian Marginalization Index | x | x | ||||||
| Noise | x | x | ||||||
| Proximity Measures (StatsCan) | x | x | ||||||
| Spatial Accessibility Measures | x | x | ||||||
| Public Transportation | x | x | ||||||
Greenness and Weather
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Normalized Difference Vegetation Index (greenness) (NDVI) | x | x | x | x | ||||
| Meteorological Data (weather and climate) | x | x | x | x | x | x | ||
| Local Climate Zone | x | x | ||||||
| Ultraviolet | x | x | ||||||
| Tree canopy coverage (GRTCC_AVA_YY) | x | x | x | x | ||||
| Vegetative greenness fractions (GRUMP_AMN_YY) | x | x | ||||||
Geographic Indicators
Census Subdivision
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Census Subdivision (CSD) | x | x | x | x | x | x | x | x |
Notes:
Census Subdivision Codes and Names are determined using the Postal Code Conversion File (PCCF) from Statistics Canada. A census subdivision (CSD) is a geographic unit, roughly corresponding to municipalities, whose unique codes can be linked to other sociodemographic or census data.
Due to the sensitive nature of these geographic indicators, a special request must be made to receive CSDs and FSAs as part of your dataset. Adequate justification must be provided within the project description (Application Part 1) as well as in the Geographic Indicators section of the Data Checklist. By requesting these data, you also agree that you will not present in any form (presentation, publication, poster), an illustration of these geographic areas with fewer than 50 CLSA participants per FSA or CSD. For more information, please contact access@clsa-elcv.ca.
Forward Sortation Areas
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| Forward Sortation Area (FSA) | x | x | x | x | x | x | x | x |
Notes:
A forward sortation area (FSA) is a geographic region in which all postal codes start with the same three characters.
Due to the sensitive nature of these geographic indicators, a special request must be made to receive CSDs and FSAs as part of your dataset. Adequate justification must be provided within the project description (Application Part 1) as well as in the Geographic Indicators section of the Data Checklist. By requesting these data, you also agree that you will not present in any form (presentation, publication, poster), an illustration of these geographic areas with fewer than 50 CLSA participants per FSA or CSD. For more information, please contact access@clsa-elcv.ca.
MORTALITY DATA
Participant Status
| Module | Information Collected by June 2026 |
| Vital Status | x |
| Withdrawal Status | x |
Decedent Questionnaire
| Module | Information Collected by June 2025 |
| Details Surrounding Death (DSD) | x |
| Living Arrangements Prior to Death (LAP) | x |
| Function at 1 Month Before Death (FBD) | x |
| About the Main Caregiver (MCG) | x |
| Participant’s Health Care Preferences and Decisions (PPD) | x |
| Quality of Death and Dying (QDD) | x |
Images and raw data
Images and raw data
Hover over the module name to view the total data file size.
| Baseline | Follow Up 1 | Follow Up 2 | Follow Up 3 | |||||
| Module | COM | TRM | COM | TRM | COM | TRM | COM | TRM |
| cIMT still image (dicom)i | x | – | x | – | – | – | ||
| cIMT Cineloops (dicom)i | x | – | x | – | – | – | ||
| DXA Forearm image (jpg)i | x | – | x | – | x | – | x | – |
| DXA Hip image (jpg)i | x | – | x | – | – | – | ||
| DXA Whole Body image (jpg)i | x | – | – | – | – | |||
| DXA IVA Lateral Spine image (dicom)i | x | – | x | – | x | – | x | – |
| ECG RAW + (ECG waveforms; xml)i | x | – | x | – | x | – | x | – |
| ECG Images (ECG tracing; jpg)i | x | – | x | – | x | – | x | – |
| Retinal Scan (Image; jpg)i | x | – | x | – | x | – | x | – |
| Spirometry RAW+ (flow + volume curves; text)i | x | – | x | – | x | – | x | – |
| Spirometry Images (summary report; pdf)i | – | – | x | – | x | – | x | – |
| Tonometry (pressure and applanation data) | x | – | x | – | x | – | x | – |
| Cognition (Raw data/individual scores) | x | x | x | x | x | x | x | x |
Notes:
To request these data, adequate justification must be provided within the project description (Application Part 1) as well as in the Images and Raw Data section of the Data Checklist, explaining how these data will help to achieve proposed objectives, describing how they will be analysed, and providing evidence, if available, that you have the experience and resources to work with these types of data (i.e. references of publications). Please note that the request for images and raw data usually incurs additional costs beyond the current data access fee, and these are outlined in the Fees section of our website. Requests for images and raw data may prolong the processing time of your application, and it may take longer to receive these data than the six months to receive alphanumeric data. For more information, please contact access@clsa-elcv.ca.
COVID-19 DATA
COVID-19 Data
| Module | Data Availability |
| Questionnaire Study Data (N= 28,565)10 | x |
| Seroprevalence Study Data (N= 19,334)11 | x |
Notes:
10The CLSA COVID-19 Questionnaire study collected longitudinal data from April 2020 to December 2020. The baseline and final exit questionnaire captured information on COVID-19 symptoms and status, risk factors, healthcare use, health behaviours, psychosocial and economic consequences of the pandemic. The weekly, biweekly, and monthly questionnaires focused on symptoms, COVID status, and behaviours.
11The CLSA COVID-19 Seroprevalence Study collected blood samples and questionnaire data from October 2020 to July 2021 with an overall objective to estimate age and sex specific prevalence of antibodies to SARS-CoV-2 in older adults by all provinces. The questionnaire captured information about COVID-19 status, COVID-19 symptoms, housing, risk factors, risk acquisitions, and health behaviours related to the virus. Participants either provided a venous blood sample at a CLSA data collection site or a dried blood spot sample using a home collection kit.
HEALTHY BRAINS, HEALTHY AGING (HBHA) Initiative
Stool Microbiome, Brain MRI & Cognition
Healthy Brains, Healthy Aging (HBHA) is a substudy of the Canadian Longitudinal Study on Aging (CLSA) Comprehensive Cohort. Baseline data were collected during CLSA Follow-ups 3 and 4 from 6,151 participants, including 6,041 stool samples. A subset of 2,373 participants completed structural and functional MRI scans and three CANTAB cognitive assessments. Combined MRI and stool sample data are available for 2,263 participants, of whom 2,223 also have cognitive data. Follow-up data collection is ongoing during Follow-ups 4 and 5. Raw MRI images are not currently available. Access to HBHA data is governed by standard CLSA data access policies and requires a dedicated application.
Hover over the module name to view a description of the data.
| Module | HBHA – Baseline | HBHA – Follow Up 1 |
| Stool Microbiome (metagenomics)i | x | |
| Stool Metabolomicsi | ||
| Cambridge Neuropsychological Test Automated Battery (CANTAB)i | x | |
| MRI – alphanumeric: Radiological reviewi | x | |
| MRI – alphanumeric: Volumetric data (FreeSurfer pipeline)i | x | |
| MRI – alphanumeric: Quantitative susceptibility mapping (QSM)i | ||
| MRI – alphanumeric: Arterial spin labelling (ASL)i | ||
| MRI – alphanumeric: Automated segmentation of white matter hyperintensitiesi | x | |
| MRI – alphanumeric: Diffusion imagingi | ||
| MRI – alphanumeric: Myelin water fraction processingi | ||
| MRI – alphanumeric: Resting state connectivityi |