{PAGE NAME} | {WEB AREA NAME}

EM Identity and Description

EM ID variable.detail.emIdHelp ?	EM-876
Document Author variable.detail.emDocumentAuthorHelp ?	Brown, S. C., J. Lombard, K. Wang, M. M. Byrne, M. Toro, E. Plater-Zyberk, D. J. Feaster, J. Kardys, M. I. Nardi, G. Perez-Gomez, H. M. Pantin, and J. Szapocznik
Document Year variable.detail.emDocumentYearHelp ?	2016

Variable General Info

Name variable.detail.varNameHelp ?	Age (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’Master Beneficiary Summary File for the calendar years 2010–2011. The study also provides data by income quartile.	Diabetes (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Gender (living Medicare beneficiaries)	Hyperlipidemia (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Hypertension (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Neighborhood greenness (vegetative presence measured by Normalized Difference Vegetatation Index (NDVI)) ? Comment: The U.S. National Aeronautics and Space Administration Advanced Spaceborne Thermal Emission and Reflection Radiometer satellite imagery at a 15 x 15-meter spatial resolution was used to calculate greenness or vegetative presence by Normalized Difference Vegetation Index (NDVI), with continuous measurements that ranged from to -1, with higher values indicating more greenness.	Obesity-related conditions (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of12obesity-related chronic conditions found in a systematic literature review.	Race/ethnicity (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’Master Beneficiary Summary File for the calendar years 2010–2011. Classes specified: Hispanic, Non-Hispanic white, and Black.	Total chronic conditions (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’ Master Beneficiary Summary File, which provided for each beneficiary, annual data on health outcomes, age, gender, race/ ethnicity,34 and location, for the calendar years 2010–2011. The CMS Master Beneficiary Summary File Chronic Conditions Segment provides indications of 27 chronic conditions, using CMS’ chronic conditions algorithms, based on Medicare claims of all types for each beneficiary in a calendar year.
Variable ID variable.detail.varIdHelp ?	20742	20774	20778	20776	20775	20740	20773	20744	20766
Symbol variable.detail.varSymbolHelp ?	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported
Qualitative-Quantitative variable.detail.continuousCategoricalHelp ?	Quantitative (Cardinal Only)	Quantitative (Cardinal Only)	Qualitative (Class, Rating or Ranking)	Quantitative (Cardinal Only)	Quantitative (Cardinal Only)	Quantitative (Cardinal Only)	Quantitative (Cardinal Only)	Qualitative (Class, Rating or Ranking)	Quantitative (Cardinal Only)
Cardinal-Ordinal variable.detail.cardinalOrdinalHelp ?	Cardinal	Cardinal	Non-Ordinal	Cardinal	Cardinal	Cardinal	Cardinal	Non-Ordinal	Cardinal
Units variable.detail.varUnitsHelp ?	years	%	Not applicable	%	%	unitless (1 to -1)	No. ind.^-1 yr^-1	Not applicable	No. ind.^-1 yr^-1

Variable Typology

Name variable.detail.varNameHelp ?	Age (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’Master Beneficiary Summary File for the calendar years 2010–2011. The study also provides data by income quartile.	Diabetes (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Gender (living Medicare beneficiaries)	Hyperlipidemia (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Hypertension (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Neighborhood greenness (vegetative presence measured by Normalized Difference Vegetatation Index (NDVI)) ? Comment: The U.S. National Aeronautics and Space Administration Advanced Spaceborne Thermal Emission and Reflection Radiometer satellite imagery at a 15 x 15-meter spatial resolution was used to calculate greenness or vegetative presence by Normalized Difference Vegetation Index (NDVI), with continuous measurements that ranged from to -1, with higher values indicating more greenness.	Obesity-related conditions (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of12obesity-related chronic conditions found in a systematic literature review.	Race/ethnicity (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’Master Beneficiary Summary File for the calendar years 2010–2011. Classes specified: Hispanic, Non-Hispanic white, and Black.	Total chronic conditions (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’ Master Beneficiary Summary File, which provided for each beneficiary, annual data on health outcomes, age, gender, race/ ethnicity,34 and location, for the calendar years 2010–2011. The CMS Master Beneficiary Summary File Chronic Conditions Segment provides indications of 27 chronic conditions, using CMS’ chronic conditions algorithms, based on Medicare claims of all types for each beneficiary in a calendar year.
Predictor-Intermediate-Response variable.detail.displayVariableTypeHelp ?	Predictor	Predictor	Predictor	Predictor	Predictor	Predictor	Predictor	Predictor	Predictor
Predictor Variable Type variable.detail.displayPredictorVariableTypeHelp ?	Time- or Space-varying Variable	Time- or Space-varying Variable	Time- or Space-varying Variable	Time- or Space-varying Variable	Time- or Space-varying Variable	Time- or Space-varying Variable	Time- or Space-varying Variable	Time- or Space-varying Variable	Time- or Space-varying Variable
Response Variable Type variable.detail.resClassHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Data Source/Type variable.detail.dataTypeHelp ?	Map or database (e.g., wide coverage, wide availability, measured or modeled)	Map or database (e.g., wide coverage, wide availability, measured or modeled)	Map or database (e.g., wide coverage, wide availability, measured or modeled)	Map or database (e.g., wide coverage, wide availability, measured or modeled)	Map or database (e.g., wide coverage, wide availability, measured or modeled)	Map or database (e.g., wide coverage, wide availability, measured or modeled)	Obtained by Best Professional Judgment	Map or database (e.g., wide coverage, wide availability, measured or modeled)	Map or database (e.g., wide coverage, wide availability, measured or modeled)
Variable Classification Hierarchy variable.detail.vchLevel1Help ?	3. Human Demographic Data	3. Human Demographic Data	3. Human Demographic Data	3. Human Demographic Data	3. Human Demographic Data	5. Ecosystem Attributes and Potential Supply of Ecosystem Goods and Services	3. Human Demographic Data	3. Human Demographic Data	3. Human Demographic Data
	--Age	--Health	--Gender	--Health	--Health	--Biological characteristics, processes or requirements of living ecosystem components	--Health	--Race, ethnicity, or nationality	--Health
						----Biological characteristics, processes or requirements of flora and fungi
						------Cover characteristics (canopy cover, herbaceous cover or leaf area)

Variable Spatial Characteristics

Name variable.detail.varNameHelp ?	Age (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’Master Beneficiary Summary File for the calendar years 2010–2011. The study also provides data by income quartile.	Diabetes (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Gender (living Medicare beneficiaries)	Hyperlipidemia (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Hypertension (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Neighborhood greenness (vegetative presence measured by Normalized Difference Vegetatation Index (NDVI)) ? Comment: The U.S. National Aeronautics and Space Administration Advanced Spaceborne Thermal Emission and Reflection Radiometer satellite imagery at a 15 x 15-meter spatial resolution was used to calculate greenness or vegetative presence by Normalized Difference Vegetation Index (NDVI), with continuous measurements that ranged from to -1, with higher values indicating more greenness.	Obesity-related conditions (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of12obesity-related chronic conditions found in a systematic literature review.	Race/ethnicity (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’Master Beneficiary Summary File for the calendar years 2010–2011. Classes specified: Hispanic, Non-Hispanic white, and Black.	Total chronic conditions (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’ Master Beneficiary Summary File, which provided for each beneficiary, annual data on health outcomes, age, gender, race/ ethnicity,34 and location, for the calendar years 2010–2011. The CMS Master Beneficiary Summary File Chronic Conditions Segment provides indications of 27 chronic conditions, using CMS’ chronic conditions algorithms, based on Medicare claims of all types for each beneficiary in a calendar year.
Spatial Extent Area variable.detail.spExtentHelp ?	1000-10,000 km^2.	1000-10,000 km^2.	1000-10,000 km^2.	1000-10,000 km^2.	1000-10,000 km^2.	1000-10,000 km^2.	1000-10,000 km^2.	1000-10,000 km^2.	1000-10,000 km^2.
Spatially Distributed? variable.detail.spDistributedHelp ?	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Observations Spatially Patterned? variable.detail.regularSpGrainHelp ?	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes
Spatial Grain Type variable.detail.spGrainTypeHelp ?	other (specify), for irregular (e.g., stream reach, lake basin)	other (specify), for irregular (e.g., stream reach, lake basin)	other (specify), for irregular (e.g., stream reach, lake basin)	other (specify), for irregular (e.g., stream reach, lake basin)	other (specify), for irregular (e.g., stream reach, lake basin)	Area, for pixel or radial feature	other (specify), for irregular (e.g., stream reach, lake basin)	other (specify), for irregular (e.g., stream reach, lake basin)	other (specify), for irregular (e.g., stream reach, lake basin)
Spatial Grain Size variable.detail.spGrainSizeHelp ?	Individual	Individual	Individual	Individual	Individual	15m x 15m	Individual	Individual	Individual
Spatial Density variable.detail.spDensityHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
EnviroAtlas URL variable.detail.enviroAtlasURLHelp ?	Percent Population under 13 Years Old							Percent Population other than White, Non-Hispanic

Variable Temporal Characteristics

Name variable.detail.varNameHelp ?	Age (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’Master Beneficiary Summary File for the calendar years 2010–2011. The study also provides data by income quartile.	Diabetes (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Gender (living Medicare beneficiaries)	Hyperlipidemia (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Hypertension (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Neighborhood greenness (vegetative presence measured by Normalized Difference Vegetatation Index (NDVI)) ? Comment: The U.S. National Aeronautics and Space Administration Advanced Spaceborne Thermal Emission and Reflection Radiometer satellite imagery at a 15 x 15-meter spatial resolution was used to calculate greenness or vegetative presence by Normalized Difference Vegetation Index (NDVI), with continuous measurements that ranged from to -1, with higher values indicating more greenness.	Obesity-related conditions (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of12obesity-related chronic conditions found in a systematic literature review.	Race/ethnicity (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’Master Beneficiary Summary File for the calendar years 2010–2011. Classes specified: Hispanic, Non-Hispanic white, and Black.	Total chronic conditions (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’ Master Beneficiary Summary File, which provided for each beneficiary, annual data on health outcomes, age, gender, race/ ethnicity,34 and location, for the calendar years 2010–2011. The CMS Master Beneficiary Summary File Chronic Conditions Segment provides indications of 27 chronic conditions, using CMS’ chronic conditions algorithms, based on Medicare claims of all types for each beneficiary in a calendar year.
Temporal Extent variable.detail.tempExtentHelp ?	2010-2011	2011	2010-2011	2011	2011	2011	2011	2010-2011	2011
Temporally Distributed? variable.detail.tempDistributedHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Regular Temporal Grain? variable.detail.regularTempGrainHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Temporal Grain Size Value variable.detail.tempGrainSizeValHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Temporal Grain Size Units variable.detail.tempGrainSizeUnitHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable
Temporal Density variable.detail.tempDensityHelp ?	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable	Not applicable

Variable Values

Name variable.detail.varNameHelp ?	Age (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’Master Beneficiary Summary File for the calendar years 2010–2011. The study also provides data by income quartile.	Diabetes (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Gender (living Medicare beneficiaries)	Hyperlipidemia (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Hypertension (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of 12 obesity-related chronic conditions found in a systematic literature review and identified three leading cardiometabolic risk factors hypothesized to be related to the built environment, including hyperlipidemia, diabetes, hypertension, for separate individual analyses. Diagnoses of diabetes, hypertension, and hyperlipidemia were identified for each Medicare beneficiary for the calendar year 2011, using the 2011 Centers for Medicare and Medicaid Services; Master Beneficiary Summary File, Chronic Conditions Segment.	Neighborhood greenness (vegetative presence measured by Normalized Difference Vegetatation Index (NDVI)) ? Comment: The U.S. National Aeronautics and Space Administration Advanced Spaceborne Thermal Emission and Reflection Radiometer satellite imagery at a 15 x 15-meter spatial resolution was used to calculate greenness or vegetative presence by Normalized Difference Vegetation Index (NDVI), with continuous measurements that ranged from to -1, with higher values indicating more greenness.	Obesity-related conditions (living Medicare beneficiaries) ? Comment: Further analyses focused on a possible range of12obesity-related chronic conditions found in a systematic literature review.	Race/ethnicity (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’Master Beneficiary Summary File for the calendar years 2010–2011. Classes specified: Hispanic, Non-Hispanic white, and Black.	Total chronic conditions (living Medicare beneficiaries) ? Comment: Data were obtained for this retrospective cohort study in 2013 from the U.S. Centers for Medicare and Medicaid Services (CMS)’ Master Beneficiary Summary File, which provided for each beneficiary, annual data on health outcomes, age, gender, race/ ethnicity,34 and location, for the calendar years 2010–2011. The CMS Master Beneficiary Summary File Chronic Conditions Segment provides indications of 27 chronic conditions, using CMS’ chronic conditions algorithms, based on Medicare claims of all types for each beneficiary in a calendar year.
Units variable.detail.estUnitHelp ?	years	Not applicable	Not applicable	Not applicable	Not applicable	Not reported	No. ind.^-1 yr^-1	Not applicable	No. ind.^-1 yr^-1
Min Value variable.detail.minEstHelp ?	65	Not applicable	Not applicable	Not applicable	Not applicable	Not reported	0	Not applicable	0
Max Value variable.detail.estHelp ?	111	Not applicable	Not applicable	Not applicable	Not applicable	Not reported	10	Not applicable	19
Other Value Type variable.detail.natureOtherEstHelp ?	Median	Single Observation or Parameter Value	Not applicable	Single Observation or Parameter Value	Single Observation or Parameter Value	Not applicable	Mean	Not applicable	Mean
Other Value variable.detail.otherEstHelp ?	76.33	15.55	Not applicable	22.72	27.88	Not reported	1.06	Not applicable	2.05

Variable Variability and Sensitivity

Name

Age (living Medicare beneficiaries) ?

Diabetes (living Medicare beneficiaries) ?

Gender (living Medicare beneficiaries)

Hyperlipidemia (living Medicare beneficiaries) ?

Hypertension (living Medicare beneficiaries) ?

Neighborhood greenness (vegetative presence measured by Normalized Difference Vegetatation Index (NDVI)) ?

Obesity-related conditions (living Medicare beneficiaries) ?

Race/ethnicity (living Medicare beneficiaries) ?

Total chronic conditions (living Medicare beneficiaries) ?

Variability Expression Given?

Yes

No

Not applicable

No

Yes

Not applicable

Yes

Variability Metric

SD

None

SD

None

SD

Variability Value

7.50

None

1.69

None

3.22

Variability Units

years

None

No. ind.^-1 yr^-1

None

No. ind.^-1

Resampling Used?

No

Not applicable

No

Not applicable

No

Variability Expression Used in Modeling?

Yes

Not applicable

Yes

Not applicable

Yes

Variable Operational Validation (Response Variables only)

Name variable.detail.varNameHelp ?
Variable ID variable.detail.varIdHelp ?
Validated? variable.detail.resValidatedHelp ?
Validation Approach (within, between, etc.) variable.detail.validationApproachHelp ?
Validation Quality (Qual/Quant) variable.detail.validationQualityHelp ?
Validation Method (Stat/Deviance) variable.detail.validationMethodHelp ?
Validation Metric variable.detail.validationMetricHelp ?
Validation Value variable.detail.validationValHelp ?
Validation Units
Use of Measured Response Data variable.detail.measuredResponseDataHelp ?

Name

Variable ID

Validated?

Validation Approach (within, between, etc.)

Validation Quality (Qual/Quant)

Validation Method (Stat/Deviance)

Validation Metric

Validation Value

Validation Units

Use of Measured Response Data

EcoService Models Library (ESML)

Variables Details

: (EM-876)

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