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(Chest. 2001;120:489-495.)
© 2001 American College of Chest Physicians

Spirometry Reference Values for American Indian Adults*

Results From the Strong Heart Study

M. Susan Marion, PhD; Gary R. Leonardson, PhD; Everett R. Rhoades, MD; Thomas K. Welty, MD, MPH and Paul L. Enright, MD

* From the Aberdeen Area Tribal Chairmen’s Health Board (Drs. Marion, Leonardson, and Welty), Rapid City, SD; the College of Medicine, University of Oklahoma Health Sciences Center (Dr. Rhoades), Oklahoma City, OK; and the University of Arizona Health Sciences Center (Dr. Enright), Tucson, AZ. Supported by National Heart, Lung, and Blood Institute contracts U01-HL41642, HL41652, and HL41654.

Correspondence to: Paul Enright, MD, University of Arizona, HSC 2342, 1501 North Campbell Ave, Tucson, AZ 85724; e-mail: lungguy{at}aol.com


    Abstract
 TOP
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Study objective: To derive spirometry normative values from a large population of American Indian adults and compare them to reference values for white adults.

Design: Pulmonary function was assessed using spirometry in participants of the Strong Heart Study, a multicenter, community-based, prospective study of cardiovascular risk factors and disease in American Indians, utilizing American Thoracic Society guidelines and a vigorous quality assurance program.

Setting: Central Arizona, southwestern Oklahoma, central South Dakota, and northeastern North Dakota.

Participants: Acceptable spirometry results were obtained from 1,619 women and 1,005 men aged 45 to 74 years.

Results: Internal reference values and normal ranges for FEV1, FVC, and the FEV1/FVC ratio were derived from a healthy subgroup of 253 women and 190 men, identified by excluding participants with factors associated with a lower FEV1. Ten percent of the entire cohort (269 of 2,624 subjects) had airways obstruction, as defined by an FEV1/FVC below the lower limit of the normal (LLN) using the internal reference equations. After allowing for measurement "noise," 31 participants were below the LLN using reference equations for white adults from the large National Health and Nutrition Examination Study (NHANES) III study but were normal using the internal reference equations (1.3% false-positive), while 27 participants were classified as normal using NHANES III equations but had airways obstruction using the internal reference equations (1.2% false-negative). Similarly low misclassification rates were seen for a low FVC (prevalence, 17.6%).

Conclusion: For clinical purposes, NHANES III spirometry reference equations for white adults may be used when testing American Indian women and men aged 45 to 74 years.

Key Words: American Indians • normative values • reference equations • spirometry


    Introduction
 TOP
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Spirometry is probably the most important tool in screening for pulmonary disease and is the most frequently performed pulmonary function test. Reference equations used by most North American pulmonary function laboratories to determine the normal range of spirometry results for adults are derived from one of three major studies,1 none of which included American Indians. New spirometry reference equations for children and adults from the National Health and Nutrition Examination Study (NHANES) III also did not include American Indians.2

The Strong Heart Study (SHS), a multicenter, community-based, prospective study of cardiovascular risk factors and disease in American Indian adults aged 45 to 74 years,3 provided an opportunity to derive spirometry normative values from a large population of American Indian adults. Spirometry was included in phase II of the SHS (from 1993 to 1995) to study pulmonary disease in American Indians and because the FEV1 is an excellent predictor of cardiovascular and pulmonary morbidity and mortality.4 This analysis of spirometry results was conducted in order to determine if the spirometry values from healthy American Indian adults differ substantially from those of healthy white adults in the United States.


    Materials and Methods
 TOP
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Recruitment
Participants in the second examination (phase II) of the SHS, July 1993 to November 1995, were originally recruited during the years 1989 to 1992 from 45- to 74-year-old enrolled resident members of the following tribes: Pima/Maricopa/Tohono O’odham tribes of central Arizona, seven tribes of southwestern Oklahoma (Apache, Caddo, Comanche, Delaware, Fort Sill Apache, Kiowa, and Wichita), and the Oglala and Cheyenne River Sioux of South Dakota and the Spirit Lake tribe of North Dakota. Eligibility criteria and enrollment procedures for the study have been previously published.5 Of those living at the time of the second examination, 89% of the initial 4,549 participants returned. The research protocol was reviewed and approved by the institutional review board for human studies of each clinical center, and informed consent was obtained from all participants.

Interview and Clinical Examination
Spirometry and other measurements were scheduled throughout the morning of the examination, which included seated BP, resting 12-lead ECG,6 venipuncture for determination of blood glucose7 and lipoprotein levels,8 and physical examinations including impedance measurements, all performed by a trained nurse. Anthropometric measurements included standing height without shoes, weight, and hip and waist circumference. Standing height was measured to the nearest centimeter (rounding up when >= 0.5 cm) in a standardized fashion with the participant standing erect with his or her back against the vertical wall-mounted stadiometer. Participants were encouraged to stand as straight as possible with feet flat on the floor. The chest was examined for evidence of surgery and auscultated for rhonchi or rales. Pedal edema was recorded as absent, mild, or marked. Trained interviewers obtained answers from each participant to a subset of the standardized American Thoracic Society (ATS) DLD-78 Respiratory Questionnaire9 and to a medical history questionnaire.

Participant Preparation
The FVC maneuver was both explained and demonstrated. Participants were seated during spirometry. Nose clips were used only if leaks were observed during testing. At the end of every FVC maneuver, acceptability and reproducibility checks were applied, quality control messages were displayed, and the best three flow-volume curves from the test session were displayed.10 The FVC maneuver was repeated up to eight times or until at least three acceptable maneuvers were obtained, with the highest and second highest FEV1 measurements matching within 5% or 200 mL, in accordance with 1994 ATS recommendations.11

Technicians were trained and certified prior to the start of the study. Each week all test sessions were reviewed at the Pulmonary Function Reading Center by a single quality control supervisor. Flow and volume quality grades indicated the reliability of the FEV1 and FVC, respectively. A test session with three acceptable maneuvers, with the two largest FEV1 measurements matching within 5% and 0.1 L, received a flow quality grade of B. Test sessions with flow quality grades of C (two acceptable maneuvers, but the two largest FEV1 measurements did not match within 5%), D (only one acceptable maneuver), or F (no acceptable maneuvers) were mailed with comments to the technician. A monthly report summarized technician performance over the previous 3 months.

Equipment Design and Calibration
A dry volume-sensing spirometer (Mijnhart) was selected with Pulmotest software (S&M Instruments; Doylestown, PA), which assisted the technician with quality control of maneuvers, calculated the pulmonary function variables, suggested interpretations, printed reports, and compressed graphics data for transmission and archival storage.12 The performance of this spirometry system was validated by third-party testing and found to meet ATS standards.13 Leak checks and spirometer volume checks using a 3-L syringe were repeated every morning of use on each of the six spirometry systems.

Processing of Results
Time zero of each maneuver was determined using the back-extrapolation technique. The FEV1, FVC, peak flow, back extrapolated volume, and forced expiratory time were all computed by standardized techniques, with resolutions of 10-mL volume, 10 mL/s flow, and 1-ms forced expiratory time. The peak expiratory flow time was defined as the time in milliseconds from the back-extrapolated time zero until the time of the peak flow. The results were corrected to body temperature (body temperature and pressure, saturated conditions) using the spirometer temperature sampled at the beginning of each test session. Measurements from the three acceptable FVC maneuvers with the highest sum of FVC plus FEV1 were stored by the spirometry system. The largest FEV1 and the largest FVC from the three stored acceptable FVC maneuvers were reported.

Statistical Analysis
Results from participants whose spirometry test sessions did not meet the ATS standards for acceptability and reproducibility were excluded from all analyses. In order to define a subsample of SHS participants with "healthy" lungs, we performed a stepwise multiple linear regression analysis, first entering standing height, age, and gender, and then participant characteristics that might be predictors of FEV1, based on a previous study.23 FEV1 was used as the dependent variable since it is reduced as a result of both restrictive and obstructive pulmonary disorders. Variables that were significant negative predictors of FEV1 were used to exclude participants from the healthy subset (Table 1 ). Many participants were excluded for cigarette smoking > 10 pack-years, asthma or wheezing, diabetes, or indexes of obesity.


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Table 1.. Factors Used to Exclude Participants From the Healthy Subgroups *

 
Several variables in Table 1 are dependent on the answers to groups of questions. Subjects excluded due to > 10 pack-years smoking were either current or ex-smokers as determined by their responses to the smoking questions in phase I and phase II. In subjects excluded under the auscultation variable, rales or rhonchi were detected in any lobe of the lungs. Subjects excluded under major ECG abnormality had ECG findings that indicated left ventricular hypertrophy. Subjects excluded under the cough variable usually coughed four to six times a day or >= 4 d/wk, when getting up, most days for at least 3 months, and brought up phlegm.

Two additional factors that were very weak predictors of FEV1, but were considered to be clinical indicators of disease, were also used as exclusions. Subjects who could not perform at least one acceptable spirometry maneuver (flow grade or volume-quality grade D or F) were excluded from these healthy subgroups since their results were considered to be inaccurate. About one sixth of the entire cohort remained in the healthy group. All p values < 0.05 were considered statistically significant. Analyses were performed using statistical software (SPSS Base 7.5 for Windows; SPSS; Chicago, IL).14

We estimated the misclassification rate that would have occurred if our entire cohort had undergone a spirometry test in their doctor’s office, but the spirometer used predicted values determined from white adults participating in the NHANES III study. For this analysis, we assumed that the internally derived reference equations (determined from the SHS cohort) were correct (the "gold standard"). We determined two types of spirometry abnormality rates, termed airways obstruction, as defined by a FEV1/FVC ratio below the lower limit of the normal (LLN), and restriction, as defined by a FVC below the LLN.

There is inherent "noise" when measuring the FEV1 and FVC of about 100 mL, since the within-test session FEV1 measurements match within 5% or 200 mL, and the short-term within-subject repeatability of FEV1 measurements is similar. We believe that reported misclassification rates should not use "razor thin" cut points, but should take this measurement error into consideration; therefore, we did not consider a result misclassified if it was within 100 mL of the threshold.


    Results
 TOP
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
Demographics of the healthy group and the entire cohort are given in Table 2 . Spirometry results were available for 3,253 of the 3,638 participants (1,384 men and 2,254 women), but 571 subjects (18%) did not meet the 1994 ATS spirometry test session quality standards. Another 58 subjects were removed due to inaccurately measured heights (as determined by comparison to height measured during their third examination), leaving a total of 2,624 participants for this analysis. The mean spirometry values for the healthy group and for the entire cohort of 2,624 participants are given in Table 3 . Mean FEV1 and FVC values from the entire cohort were about 10% lower than mean values from the healthy subgroup. The age distribution of the women and men in the healthy subgroup, as shown in Table 4 , demonstrates adequate numbers of participants in each of the age groups for both men and women aged 45 to 75 years.


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Table 2.. Mean Anthropometric Descriptors

 

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Table 3.. Mean Spirometry Results From the Entire Cohort and Healthy Subgroup

 

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Table 4.. Age Distributions of the Entire Cohort and the Healthy Subgroup *

 
The spirometry reference equations from the healthy American Indian women and men are given in Table 5 . Height, age, and gender were significant predictors of FEV1, FVC, and FEV1/FVC. The addition of second-order terms for age and height to the regression model for healthy participants did not significantly improve the strength of the prediction equations.


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Table 5.. Prediction Equations for Healthy American Indian Women and Men Aged 45 to 74 Years *

 
Estimated misclassification rates for airways obstruction and a low FVC when using the NHANES III reference equations for white adults for testing American Indian adults from the SHS cohort are shown in Table 6 .


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Table 6.. Comparison of Spirometry Abnormality Rates From the Entire SHS Cohort (n = 2,640), Using the SHS Reference Equations From Table 5 vs the NHANES III White Adult Reference Equations

 

    Discussion
 TOP
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 
The largest previous spirometry study of American Indians was done > 100 years ago, following the Civil War.15 More than 500 full-blooded Iroquois Indian men from a reservation near Buffalo, NY were tested as part of an anthropometric study. The investigator noted that the mean vital capacity (VC) of the Indian men was the same as white soldiers (185 cubic inches). A 1978 study16 of textile job applicants including 48 American Indian men and 19 women suggested that their VC was slightly lower than the white subjects tested. Crapo and coworkers17 tested 506 healthy, never-smoking American Indian adults (151 men and 149 women), mostly from the Navajo tribe. They found no statistically significant differences between the spirometry values when comparing the American Indian women with healthy white women tested previously. The FEV1 values from the Navajo men were slightly lower than from white men, but the differences were not clinically significant. A population-based respiratory study18 of Oklahoma residents in 1970 found a lower prevalence of airways obstruction (FEV1/FVC < 70%) in American Indians when compared to whites subjects (31% vs 48%, respectively). In comparison with these previous studies, the SHS has the advantages of a large population-based sample of the adults from several American Indian communities in three states, using spirometry techniques that exceed ATS recommendations.

In order for a set of reference equations to apply broadly to American Indian patients, they should ideally be derived from healthy subjects from several communities with climatic and socioeconomic diversity, and should not be based on hospitalized patients or those seeking medical care.19 We believe that the SHS cohort meets these criteria, although many American Indian tribes were not represented.

A "healthy" group is difficult to define. Previous studies have used different criteria. The ATS spirometry interpretation workshop2 stated only that subjects should be "never smokers, free of respiratory symptoms and disease." A priori, we decided to exclude participants from the healthy group who had characteristics that independently, significantly, and negatively influenced pulmonary function (FEV1) in the entire cohort. Since the mean FEV1 results from the entire cohort were only 10% lower than those from the healthy subgroup, small variations in the exclusion criteria would result in differences in the predicted values of much less than 10%.

Diabetes mellitus is common in American Indians. Our analysis found that diabetes was associated with a lower FEV1 (and a lower FVC, results not shown), so we excluded > 1,000 of the study participants with diabetes from the healthy subgroup. Other investigators20 have also reported this relationship in other ethnic groups.

Some investigators21 have found that the addition of nonlinear height terms to the regression equation (such as height squared or height cubed) significantly improved their predictive power of their equations, but we did not, despite the broad height range of our healthy group. Most cross-sectional studies2 21 22 of lung function show FVC and FEV1 linear age regression coefficients of - 25 to - 28 mL/yr from the age 30 to 65 years. Our FEV1 age coefficients were in the same range: - 26 and - 24 mL/yr for women and men, respectively. A small degree of nonlinearity in the downward slope of lung function with age (acceleration of decline) was noted in a previous longitudinal study,22 but addition of a nonlinear age term did not significantly improve the strength of our regression equations.

In Figures 1 2 3 , we visually compare the spirometry results from the healthy subset of SHS participants with three previously published spirometry reference studies: the study of Navajo adults by Crapo and coworkers,17 the NHANES III study of Hankinson and coworkers2 (using the equations for white subjects), and the Cardiovascular Health Study23 of elderly white subjects. The predicted values from our current study appear very similar to those from the recent NHANES III and Cardiovascular Heart Study, which used equipment and methods very similar to ours.



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Figure 1.. Predicted FVC values over the observed range of heights for healthy women and men at age 58 years, comparing American Indians from the SHS with NHANES III white adults,2 Navajo Indians,17 and Cardiovascular Heart Study participants.23 FVC is shown in liters and height in centimeters.

 


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Figure 2.. Predicted FEV1 values (liters) vs age (years) for healthy women (mean height, 159 cm) and men (mean height, 173 cm) in the SHS, compared with the healthy subjects from three other studies. The age range of Cardiovascular Heart Study participants was 65 to 85 years.

 


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Figure 3.. FEV1/FVC percent predicted values vs age in years for healthy women (mean height, 159 cm) and men (mean height, 173 cm), in the SHS, compared with three other studies.

 
We estimated very low misclassification rates that would have resulted if the SHS cohort had been tested in the clinical setting using the NHANES III reference equations for white adults. Currently available spirometers do not have separate reference equations for American Indians, and the addition of the SHS reference equations in new spirometers would add cost and perhaps complicate testing; therefore, we believe that such an addition would not be worthwhile. We encourage other investigators to determine if NHANES III spirometry reference equations for white subjects can be used without a substantial risk of misclassification when testing American Indian children and young adults. In conclusion, we recommend that the NHANES III spirometry reference equations be used when testing 45- to 74-year-old American Indian adult patients in clinical settings.


    Acknowledgements
 
The authors thank Nick Bazil for adding quality assurance checks to the spirometry software, Pam Boyer-Pfersdorf for training the pulmonary function technicians and monitoring their quality, and all of the SHS pulmonary function technicians and nurses for enthusiastically working with the study participants, including Betty Jarvis, Martha Stoddart, Beverly Price, and Marcia O’Leary. We also thank Millicent Higgins for actively promoting the use of spirometry in cardiovascular epidemiology studies, the Indian Health Service for the use of their clinics, and the following Indian communities: Ak-Chin Papago/Pima, Apache, Caddo, Cheyenne River Sioux, Comanche, Delaware, Spirit Lake, Fort Sill Apache, Gila River and Salt River Pima/Maricopa, Kiowa, Oglala Sioux, and Wichita.


    Footnotes
 
Abbreviations: ATS = American Thoracic Society; LLN = lower limit of the normal; NHANES = National Health and Nutrition Examination Study; SHS = Strong Heart Study; VC = vital capacity

The opinions expressed in this article are those of the authors and do not necessarily reflect those of the Indian Health Service.

Received for publication December 30, 1999. Accepted for publication February 20, 2001.


    References
 TOP
 Abstract
 Introduction
 Materials and Methods
 Results
 Discussion
 References
 

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  3. Welty, TK, Lee, ET, Yeh, J, et al (1995) Cardiovascular disease risk factors among American Indians: the Strong Heart Study. Am J Epidemiol 142,269-287[Abstract/Free Full Text]
  4. Higgins, MW, Keller, JB (1970) Predictors of mortality in the adult population of Tecumseh: respiratory symptoms, chronic respiratory disease and ventilatory lung function. Arch Environ Health 21,418-424[ISI][Medline]
  5. Lee, ET, Welty, TK, Fabsitz, R, et al (1990) The Strong Heart Study, a study of cardiovascular disease in American Indians: design and methods. Am J Epidemiol 132,1141-1155[Abstract/Free Full Text]
  6. Oopik, Aj, Dorogy, M, Devereux, RB, et al (1996) Major ECG abnormalities among American Indians aged 45–74 years: the Strong Heart Study. Am J Cardiol 78,1400-1405[CrossRef][ISI][Medline]
  7. Lee, ET, Howard, BV, Savage, PJ, et al (1995) Diabetes and impaired glucose tolerance in three American Indian populations aged 45–74 years. Diabetes Care 18,599-610[Abstract]
  8. Robbins, DC, Welty, TK, Wang, WY, et al (1996) Plasma lipids and lipoprotein concentrations among American Indians: comparison with U.S. populations Curr Opin Lipidol 7,188-195[ISI][Medline]
  9. Ferris, BG (1978) Epidemiology standardization project III: recommended standardized procedures for pulmonary function testing. Am Rev Respir Dis 118,55-88[ISI][Medline]
  10. Enright, PL, Johnson, LR, Connett, JE, et al (1991) Spirometry in the Lung Health Study: 1. Methods and quality control. Am Rev Respir Dis 143,1215-1223[ISI][Medline]
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