Table 1.
Demographic, epidemiologic, and clinical datasets used to study the association between residential context and kidney health
Datasets | Sample Size | Years | Locations | Age at Baseline, yr | Spatial Unita | Kidney Measures | |||||
Urine Protein-Creatinine Ratio, Urine Albumin-Creatinine Ratiob | Serum Creatinine | Serum Cystatin C | Chronic Kidney Disease Mortality | End Stage Kidney Disease | Apolipoprotein L1 | ||||||
Demographic studies and datasets | |||||||||||
Americans’ Changing Lives | 3617 | 1986–2019 | US | 25–84 | Tract | IP | IP | X | X | IP | |
Health and Retirement Study | 25,444 | 1992–2019c | US | 51–61 | Tract | X | X | X | X | ||
National Health and Nutrition Examination Survey, Wave III | 33,994 | 1988–1994 | US | 0–90 | Addressd | X | X | X | X | ||
National Health and Nutrition Examination Survey, Continuous | Approximately 5000/yr | 1999–2020c | US | 0–90 | Addressd | X | X | X | X | ||
National Longitudinal Study of Adolescents | 12,105 | 1994–2018 | US | 14–18 | Block | X | IP | IP | IP | ||
National Vital Statistics System, Mortality Data | All US | 1968–2017c | US | All US | County | X | |||||
Epidemiologic studies and databases | |||||||||||
Atherosclerosis Risk in Communities | 15,792 | 1987–2019 | Multiple US | 45–64 | Tract | X | X | P | X | X | |
Coronary Risk Development in Young Adults | 5115 | 1985–2016 | Multiple US | 18–30 | Block | X | X | X | P | P | X |
Dallas Heart Study | 3500 | 2000–2009 | Dallas, TX | 30–65 | Block | X | X | X | P | P | X |
Jackson Heart Study | 6500 | 2000–2012 | Jackson, MS | 35–94 | Tract | X | X | X | X | X | X |
Multi-Ethnic Study of Atherosclerosis | 6814 | 2000–2018 | Multiple US | 45–84 | Tract | X | X | X | X | X | X |
Reasons for Geographic Differences in Stroke | 28,878 (4) | 2003–2016 | Multiple US | 45–98 | Block | X | X | X | X | X | X |
US Veterans Administration Database | All VA | 1977–c | US | All VA | County | X | X | X | X | X | X |
Clinical studies and databases | |||||||||||
Chronic Renal Insufficiency Cohort | 5499 | 2003–2018 | Multiple US | 21–74 | Tract | X | X | X | X | X | X |
Clinical Phenotyping Resource and Biobank Core | 1645 | 2009–2019 | Multiple US | 30–64e | Tract | X | X | X | X | ||
Cure Glomerulonephropathy | 2400 | 2014–2020 | Multiple US | IP | Tract | X | X | X | X | X | |
Nephrotic Syndrome Study Network | 2561 | 2010–2019 | Multiple US | 0–80 | Tract | X | X | X | X | X | |
US Renal Data System | All ESKD | 1978–c | US | All ESKD | Zip code | X | X |
Clinical measures are not necessarily available for all waves of data. The years available include a range of temporal data collection efforts. For example, some studies collect information every 2 years, whereas others collect data every 6 years. US, United States; IP, data collection in progress; P, data possibly available; VA, US Department of Veterans Affairs.
Represents the most spatially granular unit available.
Information generally available on either urine albumin-creatinine ratio or urine protein-creatinine ratio.
Represents ongoing data collection efforts into the indefinite future.
Geospatial data are available to researchers through Census Research Data Centers.
Interquartile range available only.