PEDIATRICS Vol. 101 No. 1 January 1998, p. e12
ELECTRONIC ARTICLE:
Increasing Prevalence of Overweight Among US Low-income Preschool
Children: The Centers for Disease Control and Prevention Pediatric
Nutrition Surveillance, 1983 to 1995
, and
From the * Division of Nutrition and Physical Activity, Centers
for Disease Control and Prevention, Atlanta, Georgia; and the
United
Nations Children's Fund (UNICEF), Jakarta, Indonesia.
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ABSTRACT |
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Objective. To determine whether the prevalence of overweight in preschool children has increased among the US low-income population.
Design. Analysis using weight-for-height percentiles of surveillance data adjusted for age, sex, and race or ethnicity.
Setting. Data from 18 states and the District of Columbia were examined.a
Subjects. Low-income children <5 years of age who were included in the Centers for Disease Control and Prevention Pediatric Nutrition Surveillance System.
Results. The prevalence of overweight increased from 18.6% in 1983 to 21.6% in 1995 based on the 85th percentile cutoff point for weight-for-height, and from 8.5% to 10.2% for the same period based on the 95th percentile cutoff point. Analyses by single age, sex, and race or ethnic group (non-Hispanic white, non-Hispanic black, and Hispanic) all showed increases in the prevalence of overweight, although changes are greatest for older preschool children.
Conclusion. Overweight is an increasing public health problem among preschool children in the US low-income population. Additional research is needed to explore the cause of the trend observed and to find effective strategies for overweight prevention beginning in the preschool years.
Key words: overweight, obesity, prevalence, preschool children, weight-for-height.
Childhood obesity is an increasing problem in developed
countries and an increasing public health concern.1
Researchers have found an association between obesity in childhood and
higher levels of blood pressure,6
diabetes,9,10 respiratory disease,11 adult
obesity,12 and orthopedic13,14 and psychosocial
disorders.15 Determining the factors that contribute to
excess weight gain in children is of great interest, as is the question
of whether the prevalence of obesity or overweight in children is
increasing.
Among US children 6 to 11 years of age, Troiano et al2
reported an ~7 percentage point increase from 1963 to 1991 in the prevalence of overweight, based on a body mass index
(weight/height2) above the 85th percentile, and a 5 percentage point increase in the prevalence based on a body mass index
above the 95th percentile. Gortmaker et al3 reported a 9.5 percentage point increase from 1963 to 1980 in the prevalence of
obesity for children age 6 to 11 years of age based on triceps skinfold
measurements above the 85th percentile and a 5.8 percentage point
increase in the prevalence of obesity above the 95th percentile of the
triceps skinfold measurements. This report3 also noted that
weight-for-height among children 6 and 7 years old increased during the
same period. More recently, Ogden et al16 reported a
greater increase for girls (2.8 percentage points at 2 to 3 years and
5.0 at 4 to 5 years) than for boys (1 percentage point decrease at 2 to
3 years and only a 0.6 percentage point increase at 4 to 5 years, but
no statistical significance in the change of prevalence both at 2 to 3 years and at 4 to 5 years of age) in the prevalence of overweight based
on the 95th percentile of weight-for-height data from the National
Health and Nutrition Examination Survey I (NHANES I, 1971 to 1974) to NHANES III (1988 to 1994).
In this study, we try to determine whether the prevalence of overweight
in preschool children among the US low-income population has increased
also and to extend our analyses to include infants and toddlers (0 to
23 months of age).
Since 1973, the Centers for Disease Control and Prevention (CDC)
has assisted states in monitoring key growth and hematologic indicators
of nutritional status of low-income US children who participate in
publicly funded health and nutrition programs such as the Special
Supplemental Nutrition Program for Women, Infants, and Children (WIC);
Early Periodic Screening, Diagnosis and Treatment Program; and clinics
funded through Maternal and Child Health Program block
grants.17,18 Data for the majority of the infants and
children monitored by the Pediatric Nutrition Surveillance System
(PedNSS) come from clinic service records of WIC. The WIC program,
which was initiated in 1972, is administered by the Food and Nutrition
Service of the US Department of Agriculture.19,20 The
PedNSS has expanded from five participating states in 1973 to 38 states, the District of Columbia, Puerto Rico, and 7 Indian Reservations in 1995. This surveillance system provides a rich source
of data for studying the nutritional characteristics of low-income
children on a state-by-state basis.17,18
In the PedNSS system, height or length is measured to the nearest 0.1 cm or 1/8 inch. According to the protocols, a measuring board is used
to measure the child's recumbent length if the child is <24 months of
age; otherwise, a standing height is measured for children >24 months.
Weight was measured to the nearest 0.1 kg or 1/4 pound using a
pediatric scale or other beam balance scale.21,22 All the
records are entered onto a standardized paper form or onto an automated
computer system in the clinics. Once the records are computerized at
the state level, they are transferred to the CDC for inclusion in the
PedNSS database.
To study the trend in prevalence of overweight from 1983 through 1995, we selected all children 0 to 59 months old from the 18 statesa
(plus the District of Columbia) who participated consistently in the
PedNSS during this period. Among the 18 states and the District of
Columbia, we checked the data quality by using the anthropometric data
quality assurance indexes22,23 across states and years
within each state to verify whether the data are comparable. Because a
nearly constant variance in height- and weight-based z score
distributions is indicative of data quality,23 the SD units
of weight-for-height z score were used to check the data quality across states and years. We found the that the SD units of the
z score distribution were within the normal range (0.85 to
1.10)23 and were stable. Also, we tracked the
height-for-age z score across years for each state included
in this analysis to examine whether an increasing bias of measuring
children too short could affect the overall overweight trend. We found
that there was no change in the mean height-for-age z score
across years for all the states in the dataset. Furthermore, the
records of the children with missing ages were automatically excluded before they were transferred to the PedNSS database. The percents of
missing height/length and weight were 1.5% and 1.1%, respectively. The percent of records with biologically implausible values of weight-for-height (z score below To examine whether the criteria for enrollment in these publicly funded
health and nutrition programs remained approximately the same from 1983 to 1995 in the selected 18 states and the District of Columbia, a
survey was conducted in those states regarding any certification
criterion or priority changes for overweight in the programs during the
13 years.
Because the PedNSS, which receives data from publicly funded health and
nutrition programs, has multiple records on children per calendar year
and a disproportionate number of first visit records for young
infants, one record per child per visit year was randomly selected
to avoid double counting of children who visit the program more than
once in a calendar year. Repeat visits were identified using the unique
WIC identification number, which is maintained for WIC administration.
The final sample for this study was 15 029 147 preschooler clinic
records.
To examine trends more generally for children <5 years old, we
age-adjusted the prevalence estimates for each year, assuming a uniform
age distribution. To do this, we weighted the data so that the
prevalence of each single month of age was weighted equally. The
results were also adjusted for race or ethnicity and for sex, assuming
that the ethnic mix for all 13 years combined applies for each calendar
year, and assuming that there should be 50% boys and 50% girls.
We examined trends by the urban/rural classification of the county in
which the clinical measurements were taken using the Census Bureau
definition of urban and rural. To examine how the CDC PedNSS low-income
preschooler population differs from the US general population at the
same ages, we compared the demographic and anthropometric
characteristics of the PedNSS data with NHANES II and III data.
In recent years, several studies have shown that the current NCHS/CDC
growth reference sections based on the Fels sample (<2 years of age)
and the part based on the national representative NHANES I sample ( There is no generally accepted definition of obesity or overweight for
children and adolescents.26,27 Various criteria for
overweight and obesity have been used to estimate prevalence and trends
among children and adolescents.3,28,29 For this study, we
used weight-for-height status above the 85th and 95th percentiles of
the NCHS/CDC weight-for-height reference to estimate the prevalence of
overweight or obesity in our study population. We calculated
weight-for-height percentiles and z scores by using the
NCHS/CDC age- and sex-specific growth reference.30,31 Any weight-for-height z scores below From the survey among the states and district in this study, we
confirmed that each of them maintained the same overweight certification criteria for preschoolers during the 13-year period, except for one state, which changed the criteria from The PedNSS data showed a higher proportion of young infants and more
black and Hispanic children compared with NHANES II and III data (Table
1). Also, the children in the PedNSS have
a lower mean birth weight and a higher percentage of low birth weight, lower mean height-for-age, lower mean weight-for-age, and higher weight-for-height z scores compared with NHANES II and III
data.
TABLE 1
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INTRODUCTION
Top
Abstract
Introduction
Methods
Results
Discussion
References
![]()
METHODS
Top
Abstract
Introduction
Methods
Results
Discussion
References
4 or above
+5)23 was 0.5%.
2
years of age) are not comparable. When the two curves are compared,
there is a clear disjunction of height-for-age and weight-for-height at
24 months of age.24,25 These disjunctions make it difficult
to compare the growth status of children <2 years of age with that of
children >2 years of age. Because of the disjunction, we also
performed the trend analysis separately for these two age groups.
4 or above +5 were
excluded, because these extreme values were most likely attributable to errors in measurement or data entry.23
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RESULTS
Top
Abstract
Introduction
Methods
Results
Discussion
References
95th percentile to
90th percentile of weight-for-height after 1990. Exclusion of this
state did not change our results. Among the preschoolers, there were no
priority changes or restrictions for younger children (birth to 2 years), and only two states put the older children (age 3 to 4 years)
on a waiting list or restricted program entry for a short time (1 to 3 months) in the early 1990s. However, the short time restriction did not
affect the overall trend observed.
Comparison of Demographic and Anthropometric Characteristics (%) of
NHANES II and III Data With the CDC PedNSS Data
The PedNSS data also showed an increasing proportion of older children from 1983 to 1995, as well as an increased proportion of Hispanic children and urban children (Table 1). The standardized adjustments in the prevalence of overweight we described in "Methods" account for these changes in demographic characteristics.
The prevalence of overweight for the children 0 to 59 months old in the period increased from 18.6% in 1983 to 21.6% in 1995, based on the weight-for-height 85th percentile cutoff point, representing an absolute increase of 3.0 percentage points and a relative increase of 16.1%. Based on the weight-for-height 95th percentile cutoff point, the prevalence increased from 8.5% in 1983 to 10.2% in 1995, representing an absolute increase of 1.7 percentage points and a relative increase of 20% (Table 2). As shown in Fig 1, during the 13-year period, there was a consistent increase in the prevalence of overweight using both the 85th and 95th percentile cutoff points.
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When we examine trends by single year of age, we see a similar trend in the prevalence of overweight from 1983 through 1995, with an increase observed for each year of age (Table 2). However, the increase in the prevalence of overweight is greatest for 48- to 59-month-old children, in both absolute and relative terms. Figure 2 (A and B) shows the age-specific trends in the prevalence of overweight based on the 95th percentile cutoff point. The trend is similar at the 85th percentile cutoff point (results available on request).
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When we compare the prevalence of overweight by sex, boys and girls show a parallel increase in the prevalence of overweight at both the 85th and 95th percentile cutoff points. Among children >24 months of age, there is an absolute increase of 2.9 percentage points for boys and 3.4 percentage points for girls using the 85th percentile. Using the 95th percentile, there is a 1.7 percentage point increase for boys and a 1.8-percentage point for girls (Table 3). The prevalence of overweight for girls is significantly higher than for boys (P < .05).
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The non-Hispanic white, non-Hispanic black, and Hispanic subgroups all demonstrated an increasing trend in the prevalence of overweight from 1983 through 1995 (Fig 3 for the children >2 years of age using the 95th percentile). Among those children <2 years old, non-Hispanic whites had the largest absolute increase in prevalence of overweight. For children >2 years of age, non-Hispanic blacks had the largest absolute increase in prevalence of overweight, at both the 85th and the 95th percentile cutoff points (Table 3). The prevalence of overweight for Hispanics is significantly higher than for non-Hispanic blacks, and for non-Hispanic blacks is significantly higher than for non-Hispanic whites (P < .05).
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When we compare the prevalence of overweight by clinic settings, both urban and rural clinics showed an increasing trend in the prevalence of overweight from 1983 to 1995 (Table 3). Among children >24 months of age, there is an absolute increase of 3.3 percentage points for urban children and of 1.6 percentage points for rural children, using the 85th percentile. Using the 95th percentile, there is a 2.0 percentage point increase for urban and a 0.7 for rural (Table 3). However, the increasing trend in rural is not consistent during the 13-year period; there is a downward trend between 1989 and 1991.
To decide whether the increase in the prevalence of overweight among US low-income preschool children was related to an increase in a subpopulation of children who were heavier or to a general shift of the entire weight distribution, we used the weight-for-height z score to compare the height-standardized weight distribution for the preschool children using records from 1983 and 1995. The 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles increase by 0.14, 0.15, 0.12, 0.07, 0.08, 0.08, 0.11 z score, respectively, from 1983 to 1995. Also, the weight-for-height distribution of the two periods had a similar variance and shape. Thus, the increase in the prevalence of overweight observed among US low-income preschool children reflects a general upward shift in the weight distribution over the 13-year period rather than simply an increase in the size of the upper tail.
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DISCUSSION |
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We found that from 1983 through 1995, there was a consistent increase in the prevalence of overweight among low-income preschool children in the United States. The increase in the prevalence of overweight is the result of a general upward shift of the weight-for-height distribution in the population. This same trend has been documented in the US population in preschool children,16 school children,2,32 adolescents,2,32,33 and adults.32,34 Our analysis has demonstrated that these trends are observed even before the age of 24 months. This evidence suggests that the entire population in the United States is getting heavier.
The increasing prevalence of overweight was also observed for each age, sex, and racial/ethnic group. These data suggest that underlying causes of the differences in overweight prevalence by gender, and between racial/ethnic groups observed among adults,32,34,36 and between school children and adolescents32,33,37 may also be observed in preschool children.
There is an increasing trend in the relative increases with age. Children 48 to 59 months of age have the highest relative increase in the prevalence of overweight compared with other age groups. This confirms the result from the NHANES study for preschoolers16 that the prevalence of overweight increase with age.
The prevalence of overweight is higher for girls compared with boys. Also, we observed a parallel increase in the prevalence of overweight between boys and girls among the low-income preschoolers, whereas data from NHANES III16 showed a greater increase for girls (2.8 percentage points at 2 to 3 years and 5.0 percentage points at 4 to 5 years) than for boys (1.0 percentage point decrease at 2 to 3 years and only a 0.6 percentage point increase at 4 to 5 years, but no statistical significance in the change of prevalence at both 2 to 3 years and 4 to 5 years of age). It is not clear whether this inconsistency reflects true difference in trends for the WIC population or results from methodologic differences. Additional research is needed to understand fully the difference in gender behaviors for different socioeconomic strata.
Hispanic children have a higher prevalence than other race or ethnic groups. The higher prevalence of overweight among Hispanic preschool children may be related partially to dietary, environmental, or genetic factors. The growth in height and weight of well-fed, healthy children at least <5 years old from different ethnic backgrounds and different continents is reasonably similar.38 On the other hand, Trowbridge et al41 have suggested that high weight-for-height in Hispanics is associated with lower body fat.
We observed an increase in the prevalence of overweight among both urban and rural children, although trends were more marked and consistent in the urban areas. Additional research is needed to understand fully the difference in behaviors in different geographic settings for other socioeconomic strata.
Our study has potential limitations commonly found in surveillance systems that use routine clinical data. Because the data come from multiple clinics and the techniques of measurement are not tightly controlled, the quality of anthropometric measurements cannot be guaranteed. However, our checks on data quality for the states in this analysis showed reasonably good data quality. Also, because there is no change in the mean height-for-age z score across the 13-year period for all the states included in this analysis, it is unlikely that a bias in height measurement could affect the observed overweight trend.
Another potential limitation is that changes in program enrollment practice at the state level could have caused changes in the prevalence of overweight. However, our survey among the states showed no systematic changes in the certification criteria or priorities served by states for preschoolers during this period. This supports the conclusion that the overweight trends observed from the study reflects an actual increase in overweight.
The increasing trend in the prevalence of overweight suggests a general shift in behaviors of the population. The genetic component of obesity cannot account for the trends observed. Our analysis cannot delineate fully the reasons for this increase in overweight, because the PedNSS system does not currently collect data on health behavior, dietary intake, physical activity, or other potential contributing factors. Additional research needs to determine the underlying changes in the care of preschool children. For example, could changes in factors affecting birth weight have shifted the birth weight distribution toward higher weights without a proportionate increase in height? Have feeding patterns of young children changed toward fattier, higher calorie foods? Have activity levels of children decreased as TV watching rises?
Overall, this study shows a consistent increase over the past 13 years in the prevalence of overweight among preschool children from low-income families. This finding extends previous analyses to infants and toddlers from the NHANES III for preschoolers of mixed socioeconomic backgrounds.16 However, our study differs from the NHANES III study16 in that we observed a parallel increase in the prevalence of overweight for preschool girls and boys, whereas Ogden et al16 observed an increase in overweight only for preschool girls. Additional research is needed to explore the cause of the trend observed and to find effective strategies for overweight prevention beginning in the preschool years.
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FOOTNOTES |
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Received for publication Jun 28, 1996; accepted Sep 12, 1997.
Reprint requests to (Z.M.) Centers for Disease Control and Prevention, Mailstop K-25, 4770 Buford Hwy, Atlanta, GA 30341-3724.
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ACKNOWLEDGMENTS |
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We thank all state nutrition programs participating in the CDC PedNSS, especially the 18 states and the District of Columbia, that provided the data for this study. We also thank Ellen Borland and Jimmy Simmons for providing data management support, and Bettylou Sherry, PhD, for reviewing the document.
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ABBREVIATIONS |
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NHANES, National Health and Nutrition Examination Survey. CDC, Centers for Disease Control and Prevention. WIC, Special Supplemental Nutrition Program for Women, Infants, and Children. PedNSS, Pediatric Nutrition Surveillance System.
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REFERENCES |
|---|
|
|
|---|
- Johnston FE Health implications of childhood obesity. Ann Intern Med. 1985; 103:1068-1072
-
Troiano RP,
Flegal KF,
Kuczmarski RJ,
Campbell SM,
Johnson CL
Overweight prevalence and trends for children and adolescents.
Arch Pediatr Adolesc Med.
1995;
149:1085-1091
[Abstract/Free Full Text] -
Gortmaker SL,
Dietz WH,
Sobol AM,
Wehler CA
Increasing pediatric
obesity in the United States.
Am J Dis Child.
1987;
141:535-540
[Abstract/Free Full Text] - Dietz WH Childhood obesity: susceptibility, cause, and management. J Pediatr. 1983; 103:676-686[CrossRef][Medline]
- Ross JA, Gilbert G. The National Children and Youth Fitness Study: a summary of findings. J Phys Ed Recreation Dance. 1985;56(suppl 1):45-50
-
Gutin B,
Basch C,
Shea S,
Blood pressure, fitness, and fatness
in 5- and 6-year-old children.
JAMA.
1990;
264:1123-1127
[Abstract/Free Full Text] -
Shear CL,
Freedman DS,
Burke GL,
Harsha DW,
Berenson GS
Body fat
patterning and blood pressure in children and young adult
the Bogalusa
Heart Study.
Hypertension.
1987;
9:236-244[Abstract/Free Full Text] -
Rames LK,
Clark WR,
Connor WE,
Reiter MA,
Laver RM
Normal blood
pressures and the evaluation of sustained blood pressure elevation in
childhood: the Muscatine study.
Pediatrics.
1978;
61:245-251
[Abstract/Free Full Text] - Deschamps I, Desjeuz JF, Machinot S, Rolland F, Lestradet H Effects of diet and weight loss on plasma glucose, insulin, and free fatty acids in obese children. Pediatr Res. 1978; 12:757-760[Medline]
- Parra A, Schultz Rb, Graystone JE, Check DB Correlative studies in obese children and adolescents concerning body composition and plasma insulin and growth hormone levels. Pediatr Res. 1971; 5:606-613
- Tracy VV, De NC, Harper JR Obesity and respiratory infection in infants and young children. Br Med J. 1971; 1:16-18
- Garn SM Continuities and changes in fatness from infancy through adulthood. Curr Probl Pediatr. 1985; 15:1-47[Medline]
- Dietz WJ Jr, Gross WC, Kirkpatrick JA Jr Blount disease (tibia vara): another skeletal disorder associated with childhood obesity. J Pediatr. 1982; 101:735-737[CrossRef][Medline]
-
Kelsey JL,
Acheson RM,
Keggi KJ
The body build of patients with
slipped capital femoral epiphysis.
Am J Dis Child.
1972;
124:276-281
[Abstract/Free Full Text] - Dietz WH Implications and treatment of adolescent obesity. Clin Nutr. 1985; 4:103-108
- Ogden CL, Troiano RP, Briefel RR, Kuczmarski RJ, Flegal KM, Johnson CL. Prevalence of overweight among preschool children in the United States. Pediatrics. 1997;99(4). URL: http://www.pediatrics.org/cgi/content/full/99/4/e1
- Centers for Disease Control and Prevention. Nutrition Surveillance Annual Summary 1980. Atlanta, GA: Centers for Disease Control and Prevention; 1983; HHS publication no CDC 83-8295
-
Yip R,
Parvanta I,
Scanlon K,
Borland EW,
Russell CM,
Trowbridge FL
Pediatric Nutrition Surveillance System
United States, 1980-1991.
MMWR.
1992;
41:1-24 - Stefan H, Robert G. WIC Participation in FY 1992. Washington, DC: Center on Budget and Policy Priorities; 1993
- Burich MC, Murray JR. Study of WIC Participant and Program Characteristics 1990, Final Report. Alexandria, VA: US Department of Agriculture, Food and Nutrition Service, Office of Analysis and Evaluation; 1992
- Centers for Disease Control and Prevention. A Guide to Pediatric Weight and Measuring. Atlanta, GA: Centers for Disease Control and Prevention; 1981
- Centers for Disease Control and Prevention. Enhanced Pediatric Nutrition Surveillance System (PedNSS) Manual. Atlanta, GA: Centers for Disease Control and Prevention; 1994
- World Health Organization. Physical Status: The Use and Interpretation of Anthropometry. Geneva, Switzerland: World Health Organization; 1995. WHO technical report series
-
Dibley MJ,
Staehling NW,
Nieburg P,
Trowbridge FL
Interpretation of
z-score anthropometric indicators derived from the international growth
reference.
Am J Clin Nutr.
1987;
46:749-762
[Abstract/Free Full Text] - Yip R, Trowbridge FL. Pitfalls in the U.S. pediatric growth reference curves. Presented at the 14th Congress of International Nutrition; August 1989; Seoul, Korea
- Flegal KM Defining obesity in children and adolescents: epidemiologic approaches. Crit Rev Food Sci Nutr. 1993; 33:307-312[Medline]
- Obarzanek E Methodological issues in estimating the prevalence of obesity in childhood. Ann NY Acad Sci. 1993; 699:278-279[CrossRef][Medline]
- Harlan WR, Landis JR, Flegal KM, Davis CS, Miller ME Secular trends in body mass in the United States, 1960-1980. Am J Epidemiol. 1988; 128:1065-1074
-
Must A,
Dallal GE,
Dietz WH
Reference data for obesity: 85th and 95th
percentile for body mass index (wt/ht2).
Am J
Clin Nutr.
1991;
53:839-846
[Abstract/Free Full Text] -
Hamill PVV,
Drizd TA,
Johnson CL,
Reed RB,
Roche AF,
Moore WN
Physical growth: National Center for Health Statistics percentiles.
Am J Clin Nutr.
1979;
32:607-629
[Abstract/Free Full Text] -
Dibley MJ,
Goldsby JB,
Staehling NW,
Trowbridge FL
Development of
normalized curves for the international growth reference: historical and technical considerations.
Am J Clin Nutr.
1987;
46:736-748
[Abstract/Free Full Text] -
Centers for Disease Control and Prevention
Update. Prevalence of
overweight among children, adolescents, and adults
United States,
1988-1994.
MMWR.
1997;
46:199-202 -
Centers for Disease Control and Prevention
Prevalence of overweight among adolescents
United States, 1988-1991.
MMWR.
1994;
43:818-821 [Medline] -
Kuczmarski RJ,
Flegal KM,
Campbell SM,
Johnson CL
Increasing prevalence of overweight among US adults: the National Health and
Nutrition Examination Survey, 1960 to 1991.
JAMA.
1994;
272:205-211
[Abstract/Free Full Text] -
Galuska DA,
Serdula M,
Pamuk E,
Siegel PZ,
Byers T
Trends in
overweight among US adults from 1987 to 1993: a multistate telephone
survey.
Am J Public Health.
1996;
86:1729-1735
[Abstract/Free Full Text] - Malina RM, Little BB, Stern MP, Gaskill SP, Hazuda HP Ethnic and social class difference in selected anthropometric characteristics of Mexican American and Anglo adults: the San Antonio heart study. Hum Biol. 1983; 55:867-883[Medline]
- Martorell R, Mendoza FS, Castillo RO, Pawson IG, Budge CC The short and plump physique of Mexican American children. Am J Phys Anthrop. 1987; 73:475-487[CrossRef][Medline]
- Graitcer PL, Gentry EM Measuring children: one reference for all. Lancet. 1981; ii:297-299
- Habicht JP, Martorell R, Yarbrough C, Malina RM, Klein RE. Height and weight standards for preschool children: how relevant are ethnic differences in growth potential? Lancet. 1974:611-615
- Martorell R. Child growth retardation: a discussion of its causes and of its relationship to health. In: Blaxter KL, Waterlow JC, eds. Nutritional Adaptation in Man. London, UK: John Libbey; 1985:13-30
-
Trowbridge FL,
Marks JS,
Lopez de Romana G,
Madrid S,
Boutton TW,
Klein PD
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
[Abstract/Free Full Text]
Pediatrics (ISSN 0031 4005). Copyright ©1998 by the American Academy of Pediatrics
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