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Factors Contributing to 50-ft Walking Speed and Observed Ethnic Differences in Older Community-Dwelling Mexican Americans and European Americans

Myla U. Quiben, Helen P. Hazuda
DOI: 10.2522/ptj.20140152 Published 1 June 2015
Myla U. Quiben
M.U. Quiben, PT, PhD, DPT, MS, GCS, NCS, Department of Physical Therapy, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, MET-555, Ft Worth, TX 76107 (USA).
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Helen P. Hazuda
H.P. Hazuda, PhD, Department of Medicine, Division of Nephrology, University of Texas Health Science Center at San Antonio, San Antonio, Texas.
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Figure 1.
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Figure 1.

Comparison of components of the San Antonio Longitudinal Study of Aging (SALSA) disablement process model (DPM) and the International Classification of Functioning, Disability and Health (ICF) model.35

Figure 2.
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Figure 2.

Flow chart of study participants. SAHS=San Antonio Heart Study, SALSA=San Antonio Longitudinal Study of Aging, BMI=body mass index, HBP=high blood pressure, COPD=chronic obstructive pulmonary disease, FEV1=forced expiratory volume in 1 second, LVH=left ventricular hypertrophy, ROM=range of motion.

Figure 3.
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Figure 3.

San Antonio Longitudinal Study of Aging (SALSA) disablement process model: main disease-disability pathway and modifiers.33 MI=myocardial infarction.

Tables

Table 1.
Table 1.

Sample Characteristicsa

  • ↵a NA=not applicable, BMI=body mass index, ROM=range of motion, HBP=high blood pressure, COPD=chronic obstructive pulmonary disease, LogMAR=log of the minimal angle of resolution, FEV1=forced expiratory volume in 1 second, LVH=left ventricular hypertrophy.

  • b Annual income in dollars: 11.62=$21,701, 10.51=$16,512, 12.83=$29,958.

  • c Category 1: <500 kcal/wk; category 2: 500–999 kcal/wk; category 3: 1,000+ kcal/wk.

  • d Numbers for diseases and impairments vary due to missing data, as documented in Figure 1.

  • e LogMAR scores: higher values indicate poorer vision.

  • f Lower extremity strength and ROM: Physical Disability Index scores are calculated as the percent of maximum achieved in the sample.

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Table 2.

Regression Models Examining Contributors to 50-ft Walking Speed in a Biethnic Cohort of Community-Dwelling Older Adultsa

  • ↵a SES=socioeconomic status, MA=Mexican Americans, EA=European Americans, 95% CI=95% confidence interval, BMI=body mass index, ROM=range of motion, HBP=high blood pressure, COPD=chronic obstructive pulmonary disease, LogMAR=log of the minimal angle of resolution, FEV1=forced expiratory volume in 1 second, LVH=left ventricular hypertrophy.

  • b Category 1: <500 kcal/wk; category 2: 500–999 kcal/wk; category 3: 1,000+ kcal/wk.

  • c LogMAR scores: higher values indicate poorer vision.

  • d Lower extremity strength and ROM: Physical Disability Index scores are calculated as the percent of maximum achieved in the sample.

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Vol 95 Issue 6 Table of Contents
Physical Therapy: 95 (6)

Issue highlights

  • Management of Falls in Community-Dwelling Older Adults
  • Aerobic Capacity and Walking Capacity After Stroke
  • Modified Dynamic Gait Index: Medical Diagnoses and Patterns of Performance
  • Environmental Framework for the Modified Dynamic Gait Index
  • Factors Contributing to 50-ft Walking Speed
  • Reported Characteristics in Clinical Trials
  • Ulnar Nerve Neurodynamic Testing
  • Further Development and Validation of the AHEMD-IS
  • Power and Promise of Narrative
  • Development and Evaluation of Self-Management and Task-Oriented Approach to Rehabilitation Training
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Factors Contributing to 50-ft Walking Speed and Observed Ethnic Differences in Older Community-Dwelling Mexican Americans and European Americans
Myla U. Quiben, Helen P. Hazuda
Physical Therapy Jun 2015, 95 (6) 871-883; DOI: 10.2522/ptj.20140152

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Factors Contributing to 50-ft Walking Speed and Observed Ethnic Differences in Older Community-Dwelling Mexican Americans and European Americans
Myla U. Quiben, Helen P. Hazuda
Physical Therapy Jun 2015, 95 (6) 871-883; DOI: 10.2522/ptj.20140152
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  • Disability Models

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