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Journal articles on the topic 'Body Height'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 January 2023

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1

Ipsen, J., N. Nowak-Szczepanska, A. Gomula, C. Aßmann, and M. Hermanussen. "The association of body height, height variability and inequality." Anthropologischer Anzeiger 73, no. 1 (April 1, 2016): 1–6. http://dx.doi.org/10.1127/anthranz/2015/0623.

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2

Sugiatmi, Anon, Diah M. Utari, Abas Basuni Jahari, and Anon Kusharisupeni. "Association of Parent’s Body Height towards Adolescents Body Height." Indian Journal of Public Health Research & Development 10, no. 12 (December 1, 2019): 2006. http://dx.doi.org/10.37506/v10/i12/2019/ijphrd/192168.

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3

Helmuth, H. "Body height, body mass and surface area of the Neandertals." Zeitschrift für Morphologie und Anthropologie 82, no. 1 (November 11, 1998): 1–12. http://dx.doi.org/10.1127/zma/82/1998/1.

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4

Hallberg, Örjan. "Cancer and body height." Pathophysiology 21, no. 2 (June 2014): 177–81. http://dx.doi.org/10.1016/j.pathophys.2014.05.001.

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5

O'Keeffe, Linda M., Abigail Fraser, and Laura D. Howe. "Accounting for height in indices of body composition during childhood and adolescence." Wellcome Open Research 4 (July 5, 2019): 105. http://dx.doi.org/10.12688/wellcomeopenres.15280.1.

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Correlations of body composition with height vary by age and sex during childhood. Standard approaches to accounting for height in measures of body composition (dividing by height (in meters)2) do not take this into account. Using measures of total body mass (TBM), fat mass (FM) and fat free mass (FFM) at ages nine, 11, 13, 15 and 18 years from a longitudinal UK cohort study (ALSPAC), we calculated indices of body composition at each age by dividing measures by height (in meters)2. We then produced age-and sex-specific powers of height using allometric regressions and calculated body composition indices by dividing measures by height raised to these powers. TBM, FM and FFM divided by height2 were correlated with height up-to age 11 in females. In males, TBM and FM divided by height2 were correlated with height up-to age 15 years while FM divided by height2 was correlated with height up-to age 11 years. Indices of body composition using age-and sex-specific powers were not correlated with height at any age. In early life, age-and sex-specific powers of height, rather than height in meters2, should be used to adjust body composition for height when measures of adiposity/mass independent of height are required.

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6

Agarwal, Sumita, Syed Hyder Hasan Zaidi, and Surendra Kumar Agarwal. "CORRELATION OF BODY HEIGHT BY FOOT LENGTH AND KNEE HEIGHT MEASUREMENTS IN POPULATION OF NORTH INDIA." International Journal of Anatomy and Research 3, no. 3 (August 2, 2015): 1225–29. http://dx.doi.org/10.16965/ijar.2015.197.

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7

Meyer, H. E. "Body height and hip fracture." Osteoporosis International 6, S1 (January 1996): 107. http://dx.doi.org/10.1007/bf02499966.

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8

Pelz, Lothar, Dietrich Timm, Ellen Eyermann, Georg Klaus Hinkel, Margitta Kirchner, and Gunther Verron. "Body height in Turner's syndrome." Clinical Genetics 22, no. 2 (April 23, 2008): 62–66. http://dx.doi.org/10.1111/j.1399-0004.1982.tb01413.x.

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9

Hoogeboom, Bart, Ivo Alberink, and Mirelle Goos. "Body Height Measurements in Images." Journal of Forensic Sciences 54, no. 6 (November 2009): 1365–75. http://dx.doi.org/10.1111/j.1556-4029.2009.01179.x.

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10

KLINGENSTERNA, ULRIKA, and MALCOLM H. POPE. "Body Height Changes from Vibration." Spine 12, no. 6 (July 1987): 566–68. http://dx.doi.org/10.1097/00007632-198707000-00011.

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11

Magnusson, M., and MH Pope. "Body height changes with hyperextension." Clinical Biomechanics 11, no. 4 (June 1996): 236–38. http://dx.doi.org/10.1016/0268-0033(95)00066-6.

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12

Kader, Deiary. "Can Body Height Be Used to Predict Knee Implant Sizes?" Journal of Clinical Research and Reports 3, no. 1 (February 24, 2020): 01–05. http://dx.doi.org/10.31579/2690-1919/040.

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Introduction: Accuracy of pre-operative templating using radiographs or joint replacement programmes is variable. Implant modularity has increased the number of sizes available and trays used per procedure. Multiple intra-operative implant size trials lead to longer surgery time and greater instrument maintenance costs. It was hypothesised that patient factors could predict the size of implant and tray required, thereby increasing efficiency and reducing operative time. This study aims to identify correlation between implant size and body height to improve efficiency and reduce costs. Method: This prospective cohort study includes patients who underwent primary total knee replacement using the DePuy ATTUNE® Primary Total Knee System between 1st January 2016 to 7th August 2017 performed by a single surgeon, at a single hospital. Post-operative x-rays were reviewed for appropriate implant sizing. The DePuy ATTUNE® Primary Total Knee System has five sets, split into sizes 1-2, 3-5, 6-8 and 9-10. Results: 188 patients (205 knees) were included, 66 male and 122 female. Male height was 174.6cm (152-194.3) with average implant size 8. Female height was 158.7cm (145-177.8) with average implant size 5. The Spearman rank correlation between body height, femoral and tibial size were 0.793 and 0.837 respectively. All men <170cm and >185cm used the 6-8 and 9-10 set respectively. All women <150cm and >170cm used the 3-5 and 6-8 set respectively. Conclusion: The positive correlation identified coincides with existing literature. Using extremes of height and gender, surgeons and theatre staff could predict the likely trial set required, improve theatre efficiency and reduce costs.

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13

Tatarczuk, Józef, Ryszard Asienkiewicz, and Artur Wandycz. "Sexual dimorphism in physical education students of equal body height." Anthropologischer Anzeiger 75, no. 1 (February 1, 2018): 1–8. http://dx.doi.org/10.1127/anthranz/2018/0754.

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14

Liu, Yuk-Chien, and Detlef Groth. "Body height, social dominance and the political climate – a comment." Anthropologischer Anzeiger 74, no. 5 (June 1, 2018): 445–50. http://dx.doi.org/10.1127/anthranz/2018/0855.

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15

KRZYŻANOWSKA, MONIKA. "INTER-GENERATIONAL EDUCATIONAL ADVANCEMENT AND BODY HEIGHT." Journal of Biosocial Science 39, no. 3 (May 2007): 321–39. http://dx.doi.org/10.1017/s0021932006001672.

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Summary.This study investigates the association between body height and inter-generational social advancement through education. Questionnaire data were collected from 2800 students (1023 men and 1777 women) from the universities of Wrocław, Poland. The questions referred to three generations: the students and their parents and grandparents. Information was collected on the age, body height and weight of the students and their parents, and on the parents’ and grandparents’ education. The lowest body heights were typically found for individuals from families with the lowest educational levels, whereas the greatest body heights were found for those brought up in families with a high educational status or in families who had upgraded their status. The size of the change in the educational level of parents is only associated with fathers’ and female students’ body height. Individuals who had advanced from a middle educational level or who came from families with this type of advancement were found to be significantly taller, on average, than those upgrading their educational level from the lowest position. The results show that, for men, educational advancement during the course of their lives or in the earlier generation is more favourable to achieving higher stature, whereas for women, the multi-generational tradition of a high educational status is of greater significance.

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16

Meyer, Haakon E., Aage Tverdal, and Jan A. Falch. "BODY HEIGHT, BODY MASS INDEX, AND FATAL HIP FRACTURES." Epidemiology 6, no. 3 (May 1995): 299–305. http://dx.doi.org/10.1097/00001648-199505000-00019.

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17

Atanasov, A., N. Pirovski, and D. Valev. "RESEARCH ON THE BODY-MASS INDEX OF THE BODY AND THE BODY CIRCUMFERENCE IN THE CURRENT SECTION OF THE EQUAL ROTATION MOMENTS OF THE UPPER AND LOWER PART OF THE BODY." Trakia Journal of Sciences 18, Suppl.1 (2020): 80–85. http://dx.doi.org/10.15547/tjs.2020.s.01.013.

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The bed-scales determine the section in which the torques of the upper and lower body is balanced. In this section, body circumference is measured and a relationship is sought between body circumference and body mass parameters (M, kg), body height (H, m), and body mass index (BMI, kg/m2). Aim of the study: Investigate the relationship between the circumference of the body in the cross section of the equal torques of the upper and the lower body and the body mass index of the body. Results: 64 people between the ages of 18 and 28 were examined. The high correlation coefficient between the body circumference and body mass and BMI, as well as low correlation coefficient between body circumference and body height were obtained. Conclusions: There is no statistically significant relationship between body circumference and height. At different body heights, equal body circumferences can be observed.

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18

Viviani, Carlos, Héctor Ignacio Castellucci, Pedro Arezes, Ángelo Bartsch, Sara Bragança, Johan F. M. Molenbroek, Marta Martínez, and Verónica Aparici. "Educational level and its relationship with body height and popliteal height in Chilean male workers." Journal of Biosocial Science 52, no. 5 (November 25, 2019): 734–45. http://dx.doi.org/10.1017/s0021932019000750.

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AbstractA secular trend in body height has been experienced in many nations and populations, hypothesized to be the result of better living conditions. Educational level has been shown to be closely associated with body height. This study examined the changes in body height and popliteal height in a group of adult Chilean male workers by age cohort and the relationship of these with educational level. The body heights and popliteal heights of 1404 male workers from the Valparaíso and Metropolitan regions of Chile were measured in 2016. The sample was grouped by level of education (primary, secondary, technical and university) and age (21–30, 31–40 and 41–50 years). Robust ANOVA and post-hoc analyses using a one-step modified M-estimation of location were conducted based on bootstrap resampling. Both body height and popliteal height increased from the older to the younger age cohort. The largest increase was from the 41–50 to the 21–30 group, with a 1.1% increase in body height and 1.7% increase in popliteal height. When educational level was introduced into the analysis there was a marked increase in both body height and popliteal height for each cohort, but only in primary- and secondary-educated workers. Despite showing an overall increase in body height and popliteal height, younger workers with the highest levels of education showed fewer differences between them than did older workers with less education. The differences were larger in the older than in the younger cohorts. Similarly, this trend was less clear in workers with higher levels of education (technical and university), probably because of a dilution effect caused by increased access to higher education by workers in the lower income quintiles.

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19

NAKAMURA, KAZUTOSHI, YOSHIHIKO HOSHINO, KUNIKO KODAMA, and MASAHARU YAMAMOTO. "RELIABILITY OF SELF-REPORTED BODY HEIGHT AND WEIGHT OF ADULT JAPANESE WOMEN." Journal of Biosocial Science 31, no. 4 (October 1999): 555–58. http://dx.doi.org/10.1017/s0021932099005556.

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The purpose of this study was to validate the self-reported body height and weight of adult Japanese women. The subjects were women, aged 20–42 years, who participated in a survey on eating disorders in women in 1995. Physically measured height and weight data were obtained for 368 (89·8%) of the 469 women who self-reported their height and weight. The report-based heights and weights were compared with the measured values. The correlation coefficients for height and weight were 0·990 and 0·963 (p<0·0001), respectively. Mean reported height was 0·1 cm shorter and mean reported weight 0·2 kg lighter than the measured values. Shorter women tended to report a taller height than their actual height, and heavier women to report a lower weight than their actual weight. Despite these limitations, the self-reported heights and weights of adult Japanese women were precise and accurate, and their use in epidemiological surveys is considered acceptable.

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20

Yano, Shozo. "Does body height affect vascular function?" Hypertension Research 45, no. 2 (December 7, 2021): 369–71. http://dx.doi.org/10.1038/s41440-021-00812-0.

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21

MEYER,, HAAKON E., and RANDI SELMER. "Income, educational level and body height." Annals of Human Biology 26, no. 3 (January 1999): 219–27. http://dx.doi.org/10.1080/030144699282723.

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22

Schnaider Beeri, M. "Relationship Between Body Height and Dementia." American Journal of Geriatric Psychiatry 13, no. 2 (February 1, 2005): 116–23. http://dx.doi.org/10.1176/appi.ajgp.13.2.116.

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23

Beeri, Michal Schnaider, Michael Davidson, Jeremy M. Silverman, Shlomo Noy, James Schmeidler, and Uri Goldbourt. "Relationship Between Body Height and Dementia." American Journal of Geriatric Psychiatry 13, no. 2 (February 2005): 116–23. http://dx.doi.org/10.1097/00019442-200502000-00005.

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24

Losek, Joseph D., Jeffery Garland, and David B. Nelson. "Body habitus + height = accurate weight estimate." Annals of Emergency Medicine 18, no. 6 (June 1989): 709. http://dx.doi.org/10.1016/s0196-0644(89)80539-6.

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25

Hermanussen, Michael, and Christiane Scheffler. "Body height as a social signal." Papers on Anthropology 28, no. 1 (June 17, 2019): 47–60. http://dx.doi.org/10.12697/poa.2019.28.1.04.

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Body height has a signaling function among social mammals. Humans also perceive physical size as a signal and tend to associate stature and status. Taller men are perceived as more competent and authoritative. Studies in wild Kalahari male meerkats (Suricata suricatta) suggest that dominance itself can be a stimulus for growth allowing for competitive growth and strategic growth adjustments. Assuming that similar mechanisms on the control of growth are also relevant for humans, our understanding of the shortness of many Third World populations has to be revised. Short stature may no longer be exclusively understood as an expression of poverty, chronic malnutrition and poor health but as an expression of persistent feelings of inferiority and patronization in the face of the global spread and dominance of Western life and moral codes.

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26

Henneberg, Maciej, John Hugg, and Emily J. Townsend. "Body weight/height relationship: Exponential solution." American Journal of Human Biology 1, no. 4 (1989): 483–91. http://dx.doi.org/10.1002/ajhb.1310010412.

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27

Krzyżanowska, M., and W. Umławska. "Measured versus self-reported body height." International Journal of Anthropology 17, no. 2 (April 2002): 113–20. http://dx.doi.org/10.1007/bf02447402.

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28

Helmuth, Hermann. ""Lucy's" body height and relative leg length: human- or ape-like?" Zeitschrift für Morphologie und Anthropologie 79, no. 1 (June 10, 1992): 121–24. http://dx.doi.org/10.1127/zma/79/1992/121.

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29

Gomula, Aleksandra, Slawomir Koziel, Detlef Groth, and Tadeusz Bielicki. "The effect of neighboring districts on body height of Polish conscripts." Anthropologischer Anzeiger 74, no. 1 (April 1, 2017): 71–76. http://dx.doi.org/10.1127/anthranz/2017/0701.

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30

Hermanussen, Michael, Christoph Alt, Kaspar Staub, Christian Aßmann, and Detlef Groth. "The impact of physical connectedness on body height in Swiss conscripts." Anthropologischer Anzeiger 71, no. 4 (November 1, 2014): 313–27. http://dx.doi.org/10.1127/0003-5548/2014/0466.

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31

Jacobson, Bert H., and Devin H. DeBock. "Comparison of Body Mass Index by Self-Reported versus Measured Height and Weight." Perceptual and Motor Skills 92, no. 1 (February 2001): 128–32. http://dx.doi.org/10.2466/pms.2001.92.1.128.

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This study compared differences between self-reported and measured height and weight and subsequent Body Mass Index. College students ( N = 62) were asked to complete a health questionnaire as accurately as possible. Height and weight were self-reported without the knowledge that these variables would be subsequently measured. Self-reported and measured heights, weights, and calculated Body Mass Indexes were statistically compared. Analysis indicated that measured height was significantly less than self-reported height for men, but weight was not significantly different. Calculated Body Mass Index for men was not significantly different, however, self-reported Body Mass Index resulted in placement in the Normal range (18.5 to 24.9) category and measured Body Mass Index placement in the Overweight category (25.0 to 29.9). Women's self-reported and measured heights were not significantly different, however, self-reported weight was significantly less than measured. Further, significantly different Body Mass Indexes were found for women. It was concluded that self-reported height and weight might be viewed with caution in Body Mass Index assessment for convenience samples of college-age subjects.

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32

Heymsfield, Steven B., Moonseong Heo, Diana Thomas, and Angelo Pietrobelli. "Scaling of body composition to height: relevance to height-normalized indexes." American Journal of Clinical Nutrition 93, no. 4 (January 19, 2011): 736–40. http://dx.doi.org/10.3945/ajcn.110.007161.

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33

Stefanucci, J. K., and M. N. Geuss. "Duck! Scaling the height of a horizontal barrier to body height." Attention, Perception & Psychophysics 72, no. 5 (June 30, 2010): 1338–49. http://dx.doi.org/10.3758/app.72.5.1338.

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34

Burton, Richard F. "Sitting height as a better predictor of body mass than total height and (body mass)/(sitting height)3as an index of build." Annals of Human Biology 42, no. 3 (September 17, 2014): 212–16. http://dx.doi.org/10.3109/03014460.2014.954615.

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35

Joakimsen, R. M., V. Fønnebø, J. H. Magnus, A. Tollan, and A. Johanne Søgaard. "The Tromsø Study: Body Height, Body Mass Index and Fractures." Osteoporosis International 8, no. 5 (August 1, 1998): 436–42. http://dx.doi.org/10.1007/s001980050088.

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36

Knechtle, Beat, Christoph Alexander Rüst, Thomas Rosemann, Patrizia Knechtle, and Raul Bescos. "Estimation Bias: Body Mass and Body Height in Endurance Athletes." Perceptual and Motor Skills 115, no. 3 (December 2012): 833–44. http://dx.doi.org/10.2466/03.27.pms.115.6.833-844.

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37

Mukhamadsadikov, Kamaljon Jamalovich. "DETERMINATION OF INSTALLATION ANGLE AND HEIGHT WORKING BODY OF THE PRESEEDING LEVELER." American Journal Of Applied Science And Technology 02, no. 05 (May 1, 2022): 29–34. http://dx.doi.org/10.37547/ajast/volume02issue05-06.

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The article defines the installation angle and the height of the working body of the preplant equalizer depending on the movement of the soil in front of the working body and the friction force between the working body and the soil.

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38

KOMLOS, JOHN, and BENJAMIN E. LAUDERDALE. "SPATIAL CORRELATES OF US HEIGHTS AND BODY MASS INDEXES, 2002." Journal of Biosocial Science 39, no. 1 (December 7, 2005): 59–78. http://dx.doi.org/10.1017/s0021932005001161.

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Aiming to further explore possible underlying causes of the recent remarkable stagnation and relative decline in American heights, this paper describes the result of analysis of the commercial US Sizing Survey (2002). Heights are correlated positively with income and education among both white males and females while Body Mass Index (BMI) is correlated negatively among females, as in other samples. In contrast to much of the literature, this paper considers geographic correlates of height such as local poverty rate, median income and population density at the zip code level of resolution. After adjusting for confounding factors that influence height such as income and education, population density is found to be strongly and negatively correlated with height among white men, but less so among white women. The effect on BMIs less convincing. Other ethnic groups are not analysed in detail because of the small number of observations available. Local economic conditions as measured by median income, unemployment and poverty rate do not have a strong correlation with height or BMI after adjusting for individual income and education.

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39

López, Caroline L., Peter Langer, Jens Waldmann, Volker Fendrich, Helmut Sitter, Christoph Nies, and Detlef K. Bartsch. "Shortness: an unknown phenotype of multiple endocrine neoplasia type 1." European Journal of Endocrinology 169, no. 1 (July 2013): 133–37. http://dx.doi.org/10.1530/eje-13-0126.

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ObjectiveAn observation of shortness among the female participants of a regular screening program in multiple endocrine neoplasia type 1 (MEN1) patients has raised the question as to whether shortness represents a phenotype characteristic of the disease.MethodsThe body height (cm) of genetically confirmed MEN1 patients at the time of diagnosis was compared with the body height of their unaffected relatives (parents, siblings, and children), the mid-parental body height, and the body height of the age-matched German population. Univariate analysis of the clinical variables was performed using the t-test, Mann–Whitney U test, and ANOVA as appropriate, and multivariate analysis was performed as a logistic regression analysis. P values <0.05 were considered statistically significant.ResultsThe mean body height of 22 female MEN1 patients (mean age 33.5 years) was 161±5 cm and thus significantly lesser than the body heights of their unaffected female relatives (mean 165.5±7.3 cm, P=0.027) and the age-matched German female population (mean 167 cm, P=0.0001) and mid-parental height (177.5 cm, P<0.0001). The mean body height of 24 male MEN1 patients (mean age 34.8 years) was also lesser (177±6.5 cm) than the average body height of German males in this age group (180 cm, P=0.031) and tended to be lesser than that of their unaffected male relatives (178.5±5.8 cm, P=0.0915) and the mid-parental body height (177.5 cm, P=0.124).ConclusionsSmall body height is a yet unrecognized phenotype characteristic of MEN1 patients, especially in women. The mechanisms behind this phenotypical characteristic warrant further investigation.

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40

Gojkov-Žigić, Olivera, Jelena Zvekić-Svorcan, Nebojša Kolarov, Biljana Vasić, and Tanja Janković. "Connection between body height, body weight, body mass index and glucose tolerance disorder." Zdravstvena zastita 41, no. 6 (2012): 68–75. http://dx.doi.org/10.5937/zz1206068g.

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41

Helmuth, H. "„Lucy’s“ (A.L.288-1) Body Height: An Assessment by Three Independent Methods." Zeitschrift für Morphologie und Anthropologie 82, no. 2-3 (June 9, 1999): 199–206. http://dx.doi.org/10.1127/zma/82/1999/199.

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42

Bents, Dominik, Alexander Rybak, and Detlef Groth. "Spatial conscript body height correlation of Norwegian districts in the 19th century." Anthropologischer Anzeiger 74, no. 1 (April 1, 2017): 65–69. http://dx.doi.org/10.1127/anthranz/2017/0700.

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43

SILVENTOINEN, KARRI. "DETERMINANTS OF VARIATION IN ADULT BODY HEIGHT." Journal of Biosocial Science 35, no. 2 (April 2003): 263–85. http://dx.doi.org/10.1017/s0021932003002633.

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Final body height is achieved as the result of a combination of genetic and environmental factors. The aim of this article is to review past studies on body height that have followed different scientific traditions. In modern Western societies, about 20% of variation in body height is due to environmental variation. In poorer environments, this proportion is probably larger, with lower heritability of body height as well as larger socioeconomic body height differences. The role of childhood environment is seen in the increase in body height during the 20th century simultaneously with the increase in the standard of living. The most important non-genetic factors affecting growth and adult body height are nutrition and diseases. Short stature is associated with poorer education and lower social position in adulthood. This is mainly due to family background, but other environmental factors in childhood also contribute to this association. Body height is a good indicator of childhood living conditions, not only in developing countries but also in modern Western societies. Future studies combining different scientific traditions in auxology are needed to create a more holistic view of body height.

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44

Sathyapriya, Bhaskaran, Kesavaram Padmavathy, Purushothaman Lakshmanan, Ramachandran Tamilselvi, Chandrakala, and Govindarjan Sumathy. "Divine Proportion of the Height of the Human Body Vs Navel Height." Indian Journal of Public Health Research & Development 10, no. 8 (2019): 249. http://dx.doi.org/10.5958/0976-5506.2019.01887.4.

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45

Santos, Vitorino Modesto dos. "Abdominal height measures and body mass index." Journal of Medical Research 3, no. 2 (April 2017): 43–44. http://dx.doi.org/10.31254/jmr.2017.3201.

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46

Yokoyama, Kunio, Masahiro Kawanishi, Makoto Yamada, Hidekazu Tanaka, Yutaka Ito, and Masashi Hirano. "Vertebral Body Height Restoration after Balloon Kyphoplasty." Spinal Surgery 27, no. 3 (2013): 263–65. http://dx.doi.org/10.2531/spinalsurg.27.263.

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47

Dubnov-Raz, Gal, Ran Efrati, Shiran Leib, Amir Rimon, Miri Gelbart, Yoni Yarom, and Tomer Ziv-Baran. "Body Height Trajectories in Pediatric Competitive Athletes." Medicine & Science in Sports & Exercise 51, Supplement (June 2019): 573. http://dx.doi.org/10.1249/01.mss.0000562223.81105.9f.

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48

Silventoinen, K., E. Lahelma, and O. Rahkonen. "Social background, adult body-height and health." International Journal of Epidemiology 28, no. 5 (October 1, 1999): 911–18. http://dx.doi.org/10.1093/ije/28.5.911.

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49

Hampel, G. A., and Wen-Ruey Chang. "Body height change from motor vehicle vibration." International Journal of Industrial Ergonomics 23, no. 5-6 (March 1999): 489–98. http://dx.doi.org/10.1016/s0169-8141(98)00008-0.

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Sanchez, Ignacio, and Hans Pasterkamp. "Tracheal Sound Spectra Depend on Body Height." American Review of Respiratory Disease 148, no. 4_pt_1 (October 1993): 1083–87. http://dx.doi.org/10.1164/ajrccm/148.4_pt_1.1083.

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