Variable Details

Available Studies

ROS, MAP, MARS, LATC

Scaled? 

Not Scaled

Variable Type 

Longitudinal

Variable Name 

vasc_4dis_sum

Categories

Medical Conditions

Vascular disease burden - 4 items
Cumulative vascular disease burden - Sum of 4 items

Vascular disease burden is computed using self-report questions for the following 4 items*:

  1. Claudication
  2. Stroke*
  3. Heart conditions (e.g., self-reported heart attack or coronary, coronary thrombosis, coronary occlusion, myocardial infarction)
  4. Congestive heart failure

Each item is given a value of 0 or 1 (see response options below). The cumulative score for vascular disease burden ranges from 0 to 4 and is the total number of items reported. Higher scores indicate greater vascular disease burden.

*In addition to self-report, evaluation of stroke is also based on neurological exam (when available), cognitive testing, and interview of participant, with which the physician may render a diagnosis of stroke.

Response values for each item:

Claudication

ValueCoding
1Reported pain in legs while walking which includes calves, in at least one cycle from baseline to this cycle
0Never reported pain in legs or any reported pain that did not include the calves, from baseline to this cycle

Stroke

ValueCoding
1Stroke present (Highly probable or probable stroke dx) reported in at least one cycle from baseline to this cycle
0Stroke not present (Possible stroke dx or stroke not present), in all cycles, from baseline to this cycle

Heart condition

ValueCoding
1Reported in past history or in at least 1 follow-up cycle up to this cycle
0Never reported in past history or in follow-up cycle up to this cycle (includes suspect or possible)

Congestive Heart Failure

ValueCoding
1Reported in past history or in at least 1 follow-up cycle up to this cycle
0Never reported in past history or in follow-up cycle up to this cycle (includes suspect or possible)

Note: This variable is available in MAP, MARS, LATC; for ROS, this variable is available only in recent years, thus it is recommended to use the 3-item version of this variable for longitudinal analyses involving ROS.


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