![]() |
|
|
Universidade Federal de Pelotas, Departamento de Nutrição, Faculdade de Nutrição, Campus Universitário, Pelotas, RS-Brasil and * Universidade Federal de Pelotas, Departamento de Medicina Social, Faculdade de Medicina, Pelotas, RS-Brasil
2To whom correspondence should be addressed. E-mail: clapost{at}zaz.com.br.
| ABSTRACT |
|---|
|
|
|---|
KEY WORDS: humans anthropometry wasting abdominal circumference preschool children
| INTRODUCTION |
|---|
|
|
|---|
4% in Latin America;
for the rest of the world, however, these ranged from 9% in the
Eastern Mediterranean to 15% in Asia (Victora 1992
Golden (1995)
suggested that poor physical growth is due
to deficits in one or more type II nutrients (potassium, sodium,
magnesium, zinc, phosphorus, protein, oxygen, water and also energy).
Stunting or wasting would result from the intensity and duration of
exposure to these deficits, as well as from specific nutrient
deficiencies or their combination. Mild, long-acting deficits would
lead to stunting, whereas wasting is usually associated with
short-term, intense deficits (Golden 1995
); this is
in agreement with the higher prevalences of stunting than of low weight
for height (wasting) observed in epidemiologic studies (WHO 1995
). What seems to be peculiar about Latin America is that
prevalences of low weight for height are much lower than would be
expected given the observed stunting rates.
Wasting has been traditionally measured through weight for height
(WHO 1995
). Low weight for height has thus been
interpreted as a condition in which body fat and muscle are reduced,
that is, the child is wasted (Golden 1995
,
Waterlow 1996
, WHO 1995
). However, if a
child is truly wasted but there is also a relative increase in other
body proportions such as visceral volume or bone structure, the child
may still have a normal weight for height. Therefore, another possible
explanation for the wide discrepancy between weight-for-height deficits
and stunting rates in Latin America is that the body proportions of
these children may differ from those of North American children on whom
the National Center for Health Statistics
(NCHS)3
/WHO reference is based. In particular, malnourished children often
present large abdomens (Jelliffe 1968
,
Pessôa and Martins 1974
, Quarentei 1976
). This finding has been attributed to weak muscular tone
of the abdominal wall (therefore allowing viscerae to protrude) or to a
high intestinal helminth load (Quarentei 1976
). A large
abdomen would be expected to increase the childs weight without
affecting height.
A study of Peruvian children showed that, compared with the NCHS/WHO
reference (Boutton et al. 1987
, Trowbridge et al. 1987
), the children presented a slight increase in total body
water and a reduction in muscle and fat. Peruvian children also had
greater crown-rump lengths than North American children of the same
height. These differences, according to the authors, could partially
but not fully explain the greater weight for height in Peruvian
children (Trowbridge et al. 1987
). Abdominal
circumference was not addressed in that study.
Cesar et al. (1996)
showed that the abdominal
circumferences of children <5 y old from Northeast Brazil were on
average 35 cm greater than North American children, but measurement
techniques were somewhat different. According to these data, abdominal
circumference explained 16% in the variability of weight for height,
after allowing for upper arm circumference and for age.
Another recent study from Southern Brazil addressed this issue in a low
socioeconomic status population by taking 13 different measures in each
child (Post et al. 1999 and 2000
). Stunted children aged
659 mo had greater abdominal, head and chest circumferences relative
to their height than nonstunted children, but had lower skinfold
thickness indices (Post et al. 2000
). Stunted children
also had abdominal circumferences that were 1.0 cm greater than those
from North America, but again measurement techniques differed. A
multiple linear regression analysis including several anthropometric
measurements showed that abdominal circumference was the second
variable most strongly correlated to weight for height (upper arm
circumference was the first) (Post et al. 2000
). After
adjusting for other anthropometric measurements, each 1-cm increase in
abdominal circumference would be expected to increase weight for height
by 0.12 Z-score.
These studies suggest that children with larger abdomens, chests or heads will be heavier, and this may explain in part why low weight for height may be uncommon. Their samples were restricted to children from low socioeconomic status (SES) families, who represent most of the Brazilian population. Ideally, one would like to compare their abdominal circumference and other body proportions with the North American children from whom the NCHS/WHO reference was derived, using the same measurement protocols, but comparable data are not available. Because high SES children in Brazil show weight and height growth patterns that are very similar to the NCHS/WHO reference, they provided a control group whose body measures could be compared with the low SES children, to confirm that the observed differences in abdominal, head and chest circumference were not due to measurement bias. In the present investigation, several anthropometric indices were compared in these two groups of children to test the hypothesis that differences in body proportions, particularly abdominal circumference, may explain, at least in part, the low prevalences of low weight for height in Latin American children.
| SUBJECTS AND METHODS |
|---|
|
|
|---|
US$120/mo were included (earlier research in the same city showed
that prevalences of anthropometric deficits in this subpopulation were
similar to those in the NCHS/WHO reference) (Post et al. 1996
Sample sizes (Kirkwood 1988
) were calculated to detect
significant differences in anthropometric measurements that had been
found in the earlier study (Post et al. 1999
) comparing
stunted and nonstunted children. Standard deviations from this earlier
study were used in the calculations. With 95 children in each group,
the study had a power of
85% of detecting the following differences:
800 g for weight, 2.5 cm for height, 1.3 cm for sitting height or
crown-rump length, 1.4 cm for subischial height, 0.8 cm for head
circumference, 1.3 cm for chest circumference, 0.5 cm for upper arm
circumference, 1.5 cm for abdominal circumference, 0.7 mm for triceps
skinfold, 0.5 mm for biceps skinfold, 0.7 mm for subscapular skinfold,
0.9 mm for suprailiac skinfold, 1.2 cm2 for total
upper arm area, 0.8 cm2 for upper arm muscle area
and 0.6 cm2 for upper arm fat area. The sample
size was sufficient for detecting even relatively small differences for
all but the skinfold measurements; because of their large
SD observed in the earlier study, these measurements
required much larger sample numbers.
A pretested, standardized questionnaire was used to collect information on demographic, socioeconomic and environmental variables, birthweight and child morbidity. Presence of a flush toilet was used as the environmental sanitation indicator because virtually all families have access to piped water and there would be little variability in the sample. The morbidity indicators included reported diarrhea in the 2 wk before the interview and hospital admissions in the previous 12 mo. Hospitalizations are a good indicator of severe morbidity because there are a large number of hospital beds in the city and there are no economic barriers to health care due to universal health insurance.
Anthropometric measurements included the following: weight, measured
with portable CMS-PBW weighing scales (CMS Weighing Equipment,
London, UK, precision: 100 g); height (for children aged 2435
mo) or length (for children aged 1223 mo) and sitting height (or
crown-rump length) measured using locally constructed boards
according to WHO specifications (National Household Survey Capability Program 1986
; precision: 1 mm); triceps, biceps,
subscapular and suprailiac skinfolds, measured with John Bull (London,
UK; precision: 0.2 mm) and Cescorf (Porto Alegre, Brazil; precision:
0.1 mm) calipers; head, upper arm, chest and abdominal circumferences,
measured with 7-mm wide Lufkin Y613CMD nonstretchable tape (Paris,
France; precision: 0.1 cm).
From the measurements, the following indices were calculated: fat,
muscle and total upper arm areas (Frisancho 1990
);
proportion of sitting height over total height (or crown-rump
length over total length) and subischial height over total height (or
subischial length over total length) (Lohman et al. 1988
). Maternal height was measured with a locally manufactured
anthropometer, and upper arm circumference with the same tapes used for
the children. All anthropometric techniques were standardized
(Cameron 1984
, Lohman et al. 1988
). Six
interviewers were trained for 8 wk and the four with the lowest average
intraobserver technical errors of measurement were selected. Their
average technical errors were lower than the corresponding NCHS/WHO
values for all measurements (Cameron 1984
). Two
interviewers carried out each measurement and the mean value was used
in the analyses.
For describing the nutritional status of the sample, weight-for-age,
height-for-age and weight-for-height deficits were defined using the
-2 SD cut-off of the NCHS/WHO reference (U.S. Department of Health, Education and Welfare 1978
), and overweight was
defined using the corresponding +2 SD cut-off of weight
for height. For the other analyses, all anthropometric variables were
treated as continuous. The statistical analyses included ANOVA for
comparing the mean anthropometric measurements of low and high SES
children, with adjustment for skin color (dummy variable,
Caucasian/other), age in months and age squared (because a quadratic
equation improved the fit for the age variable). These mean values were
also compared with the mean Second National Health and Nutrition
Examination Survey (NHANES II) U.S. Department of Health and Human Services (DHHS) 1987
values using a one-sample
t test. The statistical significance level was set at 5%.
Informed consent was obtained from all parents and confidentiality was ensured. The proposal was approved by the Scientific and Ethical Committee of the School of Medicine of the Federal University of Pelotas.
| RESULTS |
|---|
|
|
|---|
|
|
The anthropometric characteristics of both samples are shown in
Table 3
. Low birthweight was twice as common and the prevalences of stunting
and underweight were nine times higher among the poor relative to the
rich. There were no differences in prevalences of weight-for-height
deficits (there was only one child in the sample with a low weight for
height) or in overweight.
|
The crude and adjusted mean values of the anthropometric indices in the
two SES groups are presented in Table 4
. The adjusted differences between the groups are also shown, in both
absolute as well as relative terms, expressed as a percentage of the
value of the high SES group. Most indices were significantly lower
among children from the low SES area. The most marked differences
(>8% in relative terms) were observed for biceps skinfold, weight and
mid-upper arm areas (muscle, fat and total). Significant
differences ranging from 4 to 8% were also observed for subischial
height, total height and sitting height or crown-rump length, and
for upper arm circumference. Differences were not significant for chest
and abdominal circumferences or for the three skinfolds (triceps,
suprailiac and subscapular).
|
|
|
| DISCUSSION |
|---|
|
|
|---|
As a consequence of the stratified sampling scheme, the two groups of
children also presented some ethnic differences, with a larger
proportion of Caucasian children in the high SES group. The literature
shows ethnic differences in growth and body composition, starting in
early life (Brook 1982
, Eveleth and Tanner 1990
, Gibson 1990
, Sinclair 1978
). It was therefore decided that to adjust for skin color
(a proxy for ethnicity) in all analyses. Analyses were also carried out
for Caucasian children only, and the results were very similar.
The study was restricted to children aged 1235.9 mo because this age
range tends to present high prevalences of anthropometric deficits
(Monteiro 1988
, Victora et al. 1988
).
There were no significant differences among the two groups in terms of
age; nevertheless, analyses were adjusted for exact age to exclude the
possibility of residual confounding.
The two samples were markedly different in terms of most anthropometric indicators. Relative to the high SES children, the low SES sample presented twice as many incidences of low birthweight, eight times more stunting and nine times more underweight. In accordance with what was expected, low weight-for-height prevalences were similarly low in both groups. There were no wasted children in the low SES group, and 1 child of 94 in the high SES group. This finding confirms the paradox that weight-for-height deficits are much lower than would be expected in the low SES group.
The summary of findings presented in Figure 1
shows that high SES
children were very similar to the NHANES sample, except for triceps
skinfold and upper arm fat area (85% of NHANES II mean), both related
to each other and representing adiposity. Although some of other
differences were significant, they are unlikely to be of practical
relevance. This confirms that our study was able to identify a group of
children with largely unconstrained growth.
All measurements in the low SES sample tended to be lower than in the high SES group. Relative to NHANES II, all indices except head circumference were significantly lower.
A part of these differences might be explained by morbidity patterns.
Studies in several countries confirm the effect of infection on growth
(Martorell and Ho l984
, Tomkins and Watson 1989
), and low SES children presented higher frequencies of
diarrhea and hospital admissions, as well as marked differences in
environmental conditions. Regarding dietary differences,
breast-feeding duration did not vary markedly among social groups
in the city of Pelotas, but there are important differences in the
composition of weaning diets (Horta et al. 1996
) that
may affect growth.
These results show that low SES children from Pelotas tended to be smaller in size than either high SES children from the same site or children in the NHANES II sample. However, when body proportionality was assessed by dividing the measurements by the childs height, these differences tended to disappear or even to change direction, as was the case for head, chest and abdominal circumferences.
The findings on abdominal circumference were particularly interesting.
This measurement was virtually identical between low and high SES
children, and the former had larger circumferences for a given height.
Because NHANES II did not include this measurement, the only available
source of abdominal circumference data for U.S. children since 1950
appears to be the study by Snyder et al. (1975)
(Roche,
A., personal communication). The abdominal circumference for low SES
Pelotas children was on average 2.1 cm (4.6%) greater than for
Snyders sample, and for high SES children, the difference was 2.3 cm
(5.1%). However, the Lohman technique used in Pelotas differed
slightly from that employed by Snyder, both in terms of the level at
which the circumference is measured (largest circumference vs. natural
waist, respectively) and Snyders use of a constant tension tape,
which is not recommended by Lohman. Six Pelotas children were measured
using both waist levels, and the Pelotas technique resulted in average
measurements that were only 0.2 cm larger. However, even though it was
not possible to assess the effect of using a constant tension tape, we
measured 10 children using both the Lohman technique (tape is held snug
against the skin without compressing the tissues) and using strong
compression (tape denting on the skin) to simulate the Snyder
technique. The average differences between the two measures were 0.75
cm when the natural waist was measured and 0.92 cm for the maximum
abdominal circumference. It is unlikely, therefore, that discrepancies
in tape tension or measuring techniques could explain a 2-cm average
difference in abdominal circumference.
Therefore, it seems plausible that differences in body proportions could explain, at least in part, the low prevalences of weight-for-height deficits in Brazilian children, despite high stunting prevalences. Low SES children present lower body fat indices, which would lead one to expect them to have lower weights for a given height. In other words, they would be "wasted." However, they also present, for a given height, higher circumference measures of the head, chest and, particularly, abdomen. Therefore, their apparently adequate weight for height is due to a combination of these two opposing changes.
It would be interesting to compare these results with those from other developing countries; however, despite a thorough literature search and communication with experts, it was not possible to find any such studies on abdominal circumference.
These findings suggest that the use of North American standards for assessing weight for height in Latin American populations deserves further evaluation because it may lead to underestimation of the true prevalence of wasting.
| FOOTNOTES |
|---|
3 Abbreviations used: DHHS, Department of Health and Human Services; NCHS, National Center for Health Statistics; NHANES II, Second National Health and Nutrition Examination Survey; SES, socioeconomic status. ![]()
4 For commentary on this article see: J. Nutr. 131: 11331134, 2001. ![]()
Manuscript received August 21, 2000. Initial review completed October 3, 2000. Revision accepted January 8, 2001.
| REFERENCES |
|---|
|
|
|---|
1. Barros, F. C. & Victora, C. G., eds.(1996) Saúde Materno-Infantil em Pelotas, Rio Grande do Sul, Brasil, 19821993: uma década de transição [Maternal and child health in Pelotas, Rio Grande do Sul, Brazil, 19821993: a decade of transition]. Cad. Saúde Pública 12 (suppl. 1)
2. Bogin B., Sullivan T. Socioeconomic status, sex, age, and ethnicity as determinants of body fat distribution for Guatemalan children. Am. J. Phys. Anthropol. 1986;69:527-535[Medline]
3.
Boutton T. W., Trombridge F. L., Nelson M. M., Wills C. A., Smith E. B., Romana G. L., Madrid S., Marks J. S., Klein P. D. Body composition of Peruvian children with short stature and high weight-for-height. I-Total body-water measurements and their prediction from anthropometric values. Am. J. Clin. Nutr. 1987;45:513-525
4. Brook C.G.D. Growth in childhood. Growth Assessment in Childhood and Adolescence 1982:9-28 Blackwell Scientific Publications London, UK.
5. Cameron N. The Measurement of Human Growth 1984 Croom Helm London, UK.
6. Cesar J. A., Victora C. G., Morris S. S., Post C. A. Abdominal circumference contributes to absence of wasting in Brazilian children. J. Nutr. 1996;126:2752-2756
7. Eveleth P. B., Tanner J. M. World Variation in Human Growth 2nd ed. 1990 Cambridge University Press Cambridge, UK.
8. Frisancho A. R. Anthropometric Standards for the Assessment of Growth and Nutritional Status 1990 The University of Michigan Press Ann Arbor, MI.
9. Gibson R. S. Principles of Nutritional Assessment 1990 Oxford University Press New York, NY.
10. Golden, M.H.N. (1995) Specific Deficiencies versus Growth Failure: Type I and Type II nutrients. United Nations (ACC/SCN). SCN News 12: 1014. WHO, Geneva, Switzerland.
11. Horta B. L., Olinto M. T. A., Victora C. G., Barros F. C., Guimarães P.R.V. Amamentação e padrões alimentares em crianças de duas coortes de base populacional no Sul do Brasil: tendências e diferenciais [Breastfeeding and feeding patterns in two cohorts of children in southern Brasil: trends and differences]. Cad. Saúde Pública 1996;12(suppl. 1):43-48
12. Jellife D. B. Evaluación directa del estado de nutrición de grupos humanos: signos clinicos. Jelliffe D. B. eds. Evaluación del Estado de Nutrición de la Comunidad 1968:10-53 WHO Geneva, Switzerland.
13. Keller W. The epidemiology of stunting. Waterlow J. C. eds. Linear Growth Retardation in Less Developed Countries 1988 Nestlé Nutrition Workshop Series vol. 14, pp. 1739. Raven Press, New York, NY.
14. Kirkwood B. R. Calculation of required sample size. Kirkwood B. R. eds. Essentials of Medical Statistics 1988:191-200 Blackwell Scientific Publications Oxford, UK.
15. Lohman T., Roche A., Martorell R. Anthropometric Standardization Reference Manual 1988 Human Kinetics Books Champaign, IL.
16. Martorell, R. & Ho, T. J. (1984) Malnutrition, morbidity and mortality. In: Child Survival: Strategies for Research (Mosley, W. H. & Chen, L. C., eds.), Popul. Dev. Rev. 10 (suppl.): 4968.
17. Monteiro C. A. O crescimento e a desnutrição. Saúde e Nutrição das Crianças de São Paulo: Diagnósticos, Contrastes Sociais e Tendências 1988:93-106 Hucitec São Paulo, Brasil.
18. Monteiro C. A. eds. Velhos e Novos Males da Saúde no Brasil: A Evolução do País e de Suas Doenças 1995 Hucitec São Paulo. Brasil.
19. National Household Survey Capability Programme How to Weigh and Measure Children: Assessing the Nutritional Status of Young Children in Household Survey 1986 United Nations New York, NY.
20. Pessôa S. B., Martins A. V. Superfamília ascaróidea. Parasitologia Médica 9th ed. 1974:669-690 Gunabara Koogan Rio de Janeiro, Brasil.
21. Post C.L.A., Victora C. G., Barros A.J.D. Entendendo a baixa prevalência de déficit de peso para estatura: comparação entre crianças brasileiras com e sem déficit estatura [Low prevalence of wasting: comparison of stunted and non-stunted Brazilian children]. Rev. Saúde Pública 1999;6:575-585
22. Post C.L.A., Victora C. G., Barros A.J.D. Entendendo a baixa prevalência de déficit de peso para estatura em crianças brasileiras de baixo nível socioeconômico: correlação entre índices antropométricos [Understanding the low prevalence of weight-for-height deficit in lower-income children: correlations among anthropometric indices]. Cad. Saúde Pública 2000;1:73-82
23. Post C.L.A., Victora C. G., Barros F. C., Horta B. H., Guimarães P.R.V. Desnutrição e obesidade infantis em duas coortes de base populacional no Sul do Brasil: tendências e diferenciais [Infant malnutrition and obesity in two population-based birth cohort studies in southern Brazil: trends and differences]. Cad. Saúde Pública 1996;12(suppl. 1):49-57
24. Quarentei G. Quadro clínico e evolução. Marcondes E. eds. Desnutrição 1976:43-65 Savier São Paulo, Brasil.
25. Sinclair D. Factors influencing growth and maturation. Human Growth after Birth 3rd ed. 1978:140-160 Oxford University Press London, UK.
26. Snyder, R. G., Spencer, M. L., Owings, C. L. & Schneider, L. W. (1975) Anthropometry of U.S. infants and children SP-394. 1975 SAE Automotive Engineering Congress and Exposition, February 2428, Cobo Hall, Detroit, MI.
27. Tomkins A., Watson F. Malnutrition and infection: a review 1989 ACC/SCN State-of-Art Series Nutrition Policy Discussion Paper no. 5, October 1989. Administrative Committee on Coordination-Subcommittee on Nutrition (ACC/SCN). United Nations, New York, NY.
28.
Trowbridge F. L., Marks J. S., Romano G. L., Madrid S., Boutton T. W., Klein P. D. Body composition of Peruvian children with short stature and high weight-for-height. II-Implications for the interpretation for weight-for-height as an indicator of nutritional status. Am. J. Clin. Nutr. 1987;46:411-418
29. U.S. Department of Health and Human Services Vital & Health Statistics 1987 Anthropometric Reference Data and Prevalence of Overweight United States 19761980. Data from the Second National Health Survey, Series 11, no. 238. Publication no. PHS 871688. Hyattsville, MD.
30. U.S. Department of Health, Education and Welfare (1978) National Center for Health Statistics Growth Curves for Children, Birth-18 Years. Publication no. PHS 781650. Washington, DC.
31. Victora C. G. The association between wasting and stunting: an international perspective. J. Nutr. 1992;122:1105-1110
32. Victora C. G, Barros F. C., Vaughan J. P. Crescimento e desnutrição. Epidemiologia da Desigualdade 1988:94-116 Hucitec São Paulo, Brasil.
33. Waterlow, J. C. (1996) Nutrición y crecimiento. In: Malnutrición Proteico-Energética (Waterlow, J. C., ed.) pp. 230259. Publicación Científica n° 555. Organización Panamericana de la Salud, Washington, DC.
34. World Health Organization Expert Committee (1995) Infants and children. In: Physical Status: The Use and Interpretation of Anthropometry. Technical Report Series no. 854, pp.161262. WHO, Geneva, Switzerland.
35. World Health Organization Working Group Use and interpretation of anthropometric indicators of nutritional status. Bull. WHO 1986;64:929-941[Medline]
This article has been cited by other articles:
![]() |
D. J. Hoffman, A. L. Sawaya, P. A. Martins, M. A. McCrory, and S. B. Roberts Comparison of Techniques to Evaluate Adiposity in Stunted and Nonstunted Children Pediatrics, April 1, 2006; 117(4): e725 - e732. [Abstract] [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||