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Anaemia, its correlation with overweight and growth patterns in children aged 5–10 years living in American Samoa

Published online by Cambridge University Press:  01 May 2009

Teresa M Kemmer*
Affiliation:
Department of Nutrition, Food Science and Hospitality, South Dakota State University (SDSU), Brookings, SD 57007-0497, USA
Rachel Novotny
Affiliation:
Department of Human Nutrition, Food and Animal Sciences, College of Tropical Agriculture and Human Resources, University of Hawaii at Manoa and Director, Kaiser Permanente, Center for Health Research, Honolulu, HI, USA
A Sam Gerber
Affiliation:
Office of Minority Health and Health Disparities, Centers for Disease Control and Prevention, Atlanta, GA, USA
Ianeta Ah Ping
Affiliation:
Department of Dietary Services, Lyndon B. Johnson Tropical Medical Center, American Samoa, USA
*
*Corresponding author: Email [email protected]
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Abstract

Objectives

To determine the prevalence of anaemia, identify the predictors of anaemia, compare the prevalence of anaemia among children living in American Samoa to those found in children living in the USA, and compare the growth patterns obtained from this study to Centers for Disease Control and Prevention (CDC) data and data obtained earlier in American Samoan children.

Design

Cross-sectional.

Setting

American Samoa, a Pacific Island.

Subjects

In all, 208 children aged 5–10 years.

Results

Anaemia (Hb < 11·5 g/dl) prevalence was 17·3 %. There was a significant difference in mean Hb levels in children within American Samoa as compared to National Health and Nutrition Examination Survey III data (P < 0·05). In children with BMI Z-score (BMIZ) (P < 0·05) and weight-for-age Z-score (WAZ) (P < 0·05) >2·0, females had a significantly higher prevalence of anaemia than males. Females with a WAZ > 2·0 had a significantly higher prevalence of anaemia than females with a WAZ ≤ 2·0 (P < 0·03). Risk factors for anaemia were mother having less than a high school education (P = 0·02), no car (P < 0·01) and no phone (P = 0·02). The BMIZ (P < 0·000), height-for-age Z-score (P < 0·000) and WAZ (P < 0·000) were significantly different from the distribution of CDC reference data and that found in children previously assessed in American Samoa.

Conclusions

Anaemia is high among children aged 5–10 years living in American Samoa. Growth pattern Z-scores reveal that American Samoan children are, on average, taller, heavier and more overweight. Further examination into the causes of anaemia and overweight is warranted.

Type
Research Paper
Copyright
Copyright © The Authors 2008

Anaemia among school-aged children is considered a public health problem and growing children are vulnerable to its consequences(Reference Passi and Vir1). All clinical symptoms of iron-deficiency anaemia, including anorexia, nausea, flatulence, dimness of vision, headache, listlessness, fatigue and reduced work capacity, may have a significant impact on the performance of school-aged children(Reference Passi and Vir1). In addition, school drop-out rates among school-aged children have been shown to be associated with nutritional anaemias(Reference Passi and Vir1). One of the Healthy People 2010 goals is to eliminate health disparities and the objectives include reduce the incidence of all anaemias and increase the number of people who have a healthy weight(2). To date, the prevalence of, or factors associated with, anaemia and its relationship to weight in a representative sample of 5–10 years old children living in American Samoa have not been determined.

American Samoa is an unincorporated territory of the United States with an estimated population of 57 663 and a total land area of approximately 70 square miles(3). The present research was conducted in support of the American Samoa Health Department’s essential functions of monitoring health status to identify community health problems and conduct research for new insights and innovative solutions to health problems(4). In addition, the project was designed as a collaborative effort to obtain baseline nutritional assessment data in support of the Healthy Living in the Pacific Island (HLPI) project(5). The objectives of the cross-sectional study were to: (i) determine the prevalence of anaemia; (ii) identify anthropometric, demographic, health, social and economic predictors of anaemia; (iii) compare the prevalence of anaemia among children living in American Samoa to those found in children living in the USA using National Health and Nutrition Examination Survey III (NHANES III) comparison data; and (iv) compare the growth pattern Z-score data obtained from this study to Centers for Disease Control and Prevention (CDC) data and data obtained from an earlier study conducted in American Samoa (1978 and 1982).

Participants and methods

The study design was cross-sectional. Study participants were children, 5–10 years of age, living in American Samoa in 2003. Two-stage proportionate-to-population size cluster sampling was used for household selection, and 208 children from twenty-five American Samoan villages were evaluated. Within the selected households, one child from the appropriate age range was randomly selected to participate.

The Office of Research, Uniformed Services University of the Health Sciences, Bethesda, Maryland, and the Committee on Human Studies at the University of Hawaii, Manoa, approved this project. The data collection was coordinated through the American Samoa Department of Public Health. Through the Office of Samoan Affairs, village mayors provided coordination and approval to complete the assessments. Local team member and administrative support was provided by the Expanded Food and Nutrition Education Program, Lyndon B. Johnson Tropical Medical Center Dietary Services, Department of Public Health; the Acting Dean, Agriculture, Human and Natural Resources, American Samoa Community College and Program Manager F-4H-N; and the Secretary of Samoan Affairs.

Data collection

Data were collected at the household level via interview using a questionnaire translated to the native language. Participants had the option of being interviewed using English or the native translation of the questionnaire. The interview obtained data on child and household-specific demographic, health, social and economic factors. If more than one child in a household was within the appropriate age range, the participant was randomly selected. Written consent was obtained at the household level from one of the primary caregivers prior to data collection. In addition, children aged 7–10 years signed an assent prior to participation.

A stadiometer (Invicta Plastics Limited, Leicester, England) was used to measure child stature and weight was obtained using the UNICEF Electronic Scale 890 (Seca, Vogel & Halke, Hammer Steindamm 9–25, Hamburg, Germany).

References from CDC(6) were used to calculate BMI-for-age Z-score (BMIZ), height-for-age Z-score (HAZ), and weight-for-age Z-score (WAZ). Growth pattern data collected by J. Bindon and his team from children aged 6–10 years living in American Samoa in 1978 and 1982(Reference Bindon and Zansky7) were used to compare BMIZ, WAZ and HAZ distribution to data obtained in the present study.

Hb concentration was used to assess anaemia(8). Rapid evaluation of anaemia was conducted in the household using the HemoCue Blood Hemoglobin Photometer (HemoCue, Angelholm, Sweden). Anaemia was diagnosed using the WHO age-specific cut-off Hb values of <11.5 g/dl (children aged 5–11 years)(9). Anaemia status and Hb results from American Samoan children aged 5–10 years were compared to data from children of the same age range collected during NHANES III. Within the NHANES III data set, Hb was available for 2776 children aged 5–10 years.

Statistical analysis

Statistical analyses were completed using the Statistical Package for the Social Sciences (SPSS, Chicago, IL, USA) version 12.0.1 and EPINUT in Epi Info 2000 (CDC, Atlanta, GA, USA). Descriptive statistics were completed and histograms were used to visually determine the normality of the distributions. Relative risk was used to describe the ratio of the risk attributable to anaemia. Participant data were stratified into dichotomous groups and analysed using joint contingency tables followed by χ 2 statistics. Using the anaemia cut-off value of Hb < 11·5 g/dl, logistic regression was used to determine the relationships between anaemia and the variables of interest. One-sample t test and t test for two independent samples were completed. Data analysis was completed at the 95 % level to determine significance. Data are presented as mean (sd).

Results

Demographics

The mean age of children (n 208) was 7·3 (sd 1·5) years (range 5·0–9·9 years) and 49 % were female. The percentage of children classified as 100 % Samoan as reported by their guardian was 82 %. An additional 10 % had one parent who was 100 % Samoan. Thus, all children were at least 50 % Samoan. Mean birth weight was 3·50 (sd 0·60) kg (range 1·82–6·14 kg). Reported father literacy rate was 95 % and mother literacy was greater than 99 %. Of the fathers, 91 % had at least a high school education and 28 % were educated beyond high school. Similarly, 94 % of the mothers had at least a high school education and 33 % were educated beyond high school. Households were typically large, with 60 % having seven or more family members living together.

The following items were used as economic indicators: 99 % of the families had electricity, 94 % a television, 88 % a radio, 85 % a telephone, 83 % a refrigerator, 81 % an indoor toilet and 63 % a car. Reported annual household income was less than $25 000 in 67 % of the households and less than $10 000 in 35 %.

Children eating breakfast and lunch at school were 96 %. Within the children surveyed, 85 % participated in physical activity at school, 50 % participated at least three times per week and 18 % were on at least one sports team. Of the children, 50 % watched one hour or more of television on school days and 75 % on weekends. In 67 % of the households, at least one individual smoked cigarettes.

Anaemia in children living in American Samoa

Anaemia prevalence for pre-adolescent children (5–10 years) living in American Samoa was 17·3 % (n 208). The prevalence of anaemia by age is shown in Fig. 1. Mean Hb was 12·49 (sd 1·13) g/dl; range 9·3–15·2 g/dl. Mean Hb by age category is shown in Table 1. Mean Hb by gender was 12·54 (sd 1·11) g/dl for males and 12·44 (sd 1·15) g/dl for females. There was no significant difference in prevalence of anaemia between age category or gender.

Fig. 1 Prevalence of anaemia (Hb < 11·5 g/dl) in children aged 5–10 years living in American Samoa (n 208) as compared to US children (n 2776) using data from the Third National Health and Nutrition Examination Survey (NHANES III) (□, American Samoa; ▪, NHANES III)

Table 1 Percentage of children within each age category, and mean Hb and BMI-for-age, height-for-age and weight-for-age Z-score levels (n 208)

n, number of subjects; BMIZ, BMI-for-age Z-score; HAZ, height-for-age Z-score; WAZ; weight-for-age Z-score.

Positive predictors of anaemia, determined by χ 2 analysis, included the following: mother not having a high school education (P = 0·02), no car (P ≤ 0·01) and no phone (P = 0·02). As determined by relative risk assessment, children were 2·6 times more likely to have anaemia if their mother had not completed high school, 2·3 times more likely if they had no car and 2·2 times more likely if they had no phone. A logistic regression model for predictors of anaemia yielded the family having no car as the only significant variable (P < 0·005; 95 % CI 0·16, 0·69). Age, gender, weight, parental education and literacy, and diarrhoea, vomiting or fever within the last 7 d were not associated with anaemia in the model.

Anaemia in children living in American Samoa compared to NHANES data

Comparing children living in American Samoa with children of similar ages using NHANES III data, children living in American Samoa had significantly lower mean Hb levels (P = 0·3). There was a significant difference between females (P < 0·05) but no difference between males. The only significant difference found between ages was in 9-year-olds (P < 0·001). Anaemia prevalence differences between children living in American Samoa and the children living within the US mainland are shown in Fig. 1.

Growth patterns as compared to CDC reference standards

Mean (sd) BMIZ, HAZ and WAZ by age category are shown in Table 1. There were no significant gender differences for mean HAZ, WAZ and BMIZ. Mean BMIZ (P < 0·000), HAZ (P < 0·000) and WAZ (P < 0·000), as a whole and by gender, were significantly different in American Samoan children compared to the CDC reference population(6).

Anaemia and its relationship to overweight in American Samoan children

The prevalence of anaemia within children by BMIZ and WAZ categories ≤2·0 and >2 Z-scores is shown in Fig. 2. The cut-off value of 2·0 Z-scores was selected since a child in a particular population is regarded as overweight if between 2·0 and 4·0 standard deviations of that population(Reference Bergstrom and Hernell10). When evaluating anaemia prevalence in all children, there was no significant difference between children with ≤ 2·0 or >2·0 BMIZ or WAZ. In children with BMIZ (P < 0·05) and WAZ (P < 0·05) > 2·0, females had a significantly higher prevalence of anaemia than males. Females with a WAZ > 2·0 had a significantly higher prevalence of anaemia than females with a WAZ ≤ 2·0 (P < 0·03). There was a significant interaction between gender and weight (WAZ) as a predictor of anaemia (P < 0·05).

Fig. 2 Prevalence of anaemia within the American Samoan children by BMI-for-age and weight-for-age Z-score categories (n 208) (BMIZ, BMI-for-age Z-score; WAZ, weight-for-age Z-score). *Females with BMIZ and WAZ > 2·0 had a significantly higher prevalence of anaemia than males (P < 0·05). **Females with a WAZ > 2·0 had a significantly higher prevalence of anaemia than females with a WAZ ≤ 2·0 (P < 0·03) (▪, male; , female; □, both genders)

Growth pattern changes within the children living in American Samoa since 1978

Mean (sd) BMIZ, WAZ and HAZ distribution comparing children aged 6–10 years living in American Samoa assessed within the present study conducted in 2003 and the data collected by J. Bindon and his team in 1978 and 1982(Reference Bindon and Zansky7) within children of the same age range compared with the CDC reference population are shown in Fig. 3ac. There was a significant difference (P < 0·000) between mean BMIZ, WAZ and HAZ data obtained from the two studies. Comparing data obtained in our study with data collected in 1978 and 1982(Reference Bindon and Zansky7), height and weight patterns of American Samoan children are shifting to the right.

Fig. 3 (a) BMI-for-age Z-scores of American Samoan children aged 6–10 years from two studies, †,‡compared to Centers for Disease Control and Prevention (CDC) reference data. †Reference data set from Bindon and Zansky collected in 1978 and 1982 (1986)(Reference Bindon and Zansky7); n 228; Mean 0·49, sd 0·93. ‡2003 data: n 160; Mean 1·03, sd 1·02. *Statistically different (P < 0·000). (b) Weight-for-age Z-scores of American Samoan children aged 6–10 years from two studies, †,‡;compared to CDC reference data. †;Reference data set from Bindon and Zansky collected in 1978 and 1982 (1986)(Reference Bindon and Zansky7); n 228; Mean 0·38, sd 0·84. ‡2003 data: n 160; Mean 1·12, sd 1·20. *Statistically different (P < 0·000). (c) Height-for-age Z-scores of American Samoan children aged 6–10 from two studies, †,‡compared to CDC reference data. †Reference data set from Bindon and Zansky collected in 1978 and 1982 (1986)(Reference Bindon and Zansky7); n 228; Mean 0·07, sd 0·93. ‡2003 data: 160; Mean 0·71, sd 1·22. *Statistically different (P < 0·000) (, Theoretical Z-score distribution; , 1978; , 2003)

Discussion

Anaemia

The unmet need for iron in times of rapid growth, during infancy, early childhood, adolescence and pregnancy, results in iron-deficiency anaemia and iron deficiency. In addition, poor dietary iron intake, especially of bioavailable iron, and helminth infections such as hookworms result in iron deficiency and anaemia(Reference Yip11). Iron deficiency is the most common nutritional cause of anaemia but it is essential to recognise that multiple nutrient deficiencies may be present(Reference Harmatz, Butensky and Lubin12).

The prevalence of anaemia within this sample of American Samoan children was 17·3 %. Results from US data obtained in 1988–94 through NHANES III(Reference Hollowell, Van Assendelft and Gunter13) revealed the prevalence of anaemia in children aged 6–8 years to be 4·5 % and within children aged 9–11 years, 1·0 %. In comparison, prevalence of anaemia in children aged 6–8 living in American Samoa was 18·7 % and in children aged 9–10 it was 14·9 %. Prevalence of anaemia from NHANES II (1976–80) for all races and Caucasians ages 6–8 years was 2·3 % and 1·5 %, respectively, and for ages 9–11 years it was 2·8 % and 2·5 %, respectively, with the lowest prevalence of anaemia in children aged 6–8 years(Reference Dallman, Yip and Johnson14). The Washington State component of the Ten State Nutritional Survey conducted in 1968–71 reported anaemia prevalence of 10·8 % and a median value of 12·9 g/dl among children aged 5–11 years(Reference Cook, Finch and Smith15). NHANES data show the progress made within the USA on decreasing the prevalence of anaemia over time(Reference Dallman, Yip and Johnson14, Reference Looker, Dallman, Carroll, Gunter and Johnson16). American Samoa, as a US territory, could be expected to have comparable anaemia prevalence levels, but instead they are considerably higher.

In a study of Marshallese children, using the WHO cut-off values for anaemia, 13·8 % of children aged 6–8 years and 9·1 % of children aged 9–11 years were determined to be anaemic(Reference Dungy, Morgan, Heotis, Branson and Adams17). In comparing the Marshallese children with American Samoan children, the prevalence of anaemia was higher in the American Samoan children for all age categories with the exception of 8-year-olds.

Values derived from NHANES III (1988–94) showed a mean Hb of 13·09 (sd 7·92) g/dl(Reference Looker, Dallman, Carroll, Gunter and Johnson16) for all children aged 6–11 years and was similar to the findings of Harmatz et al.(Reference Harmatz, Butensky and Lubin12). Both report mean Hb levels greater than those found within the children living in American Samoa, 12·49 (sd 1·13) g/dl.

Growth patterns as compared to CDC reference standards

Maintaining a healthy weight should begin in early childhood and Healthy People 2010 Leading Health Indicators include reducing the proportion of children and adolescents who are overweight or obese(2). Populations progressing socio-economically are presenting with diseases of excessive food consumption, which are affecting a growing number of children(Reference Cavalli-Sforza, Rosman, de Boer and Darnton-Hill18). The HAZ (mean 0·65, sd 1·11), BMIZ (mean 1·01, sd 0·98) and WAZ (mean 1·06, sd 1·15) of American Samoan children were significantly different (P < 0·000) from the CDC reference population (mean 0 and sd 1) distribution. This demonstrates that when compared to the reference population distribution, American Samoan children are, on average, taller, heavier and more overweight.

Growth pattern changes within the children living in American Samoa since 1978

When the present growth pattern was compared to that obtained from children of the same ages in 1978 and 1982 (Fig. 3ac), the mean BMIZ, WAZ and HAZ were all statistically different. This reveals that children in 2003 had a higher BMI, were taller and weighed more than children assessed in 1978 and 1982. Prior to outside influences, Pacific Islanders living in the traditional manner were robust, physically fit, active and relatively free of nutritional deficiencies or disorders and their remoteness helped protect them from diseases inherent to other parts of the world; however, in modern times their health risks are some of the highest in the world(Reference Coyne19).

Health

During the school year, 96 % of the children reported participation in the school breakfast and lunch programmes. With a potentially significant portion of a child’s daily energy consumption provided from meals consumed at school, it is essential that schools and communities share the responsibility of providing all students with access to high-quality meals and school meal plans should contribute to dietary patterns consistent with the Dietary Reference Intakes(20). New US school board state legislature policies are aimed at establishing nutrition standards for beverages and foods sold in schools(21); it would be beneficial to consider these policies in American Samoa.

A previous study, conducted to assess the diet of American Samoan children, found that energy intakes of the children were low, in addition to the reported intakes of calcium, phosphorus, iron, thiamin and riboflavin; however, it was concluded that with the potential exception of iron deficiency, the low reported intakes of most of these nutrients were not supported by clinical symptoms of undernutrition(Reference Bindon22). Since the current study found a high prevalence of anaemia, further studies should clarify that iron deficiency is indeed the cause, and factors leading to it. Increased dietary intakes of foods high in iron such as meats and iron-fortified foods, or iron supplements, if medically indicated, should be promoted(23).

No health status indicators from the present survey were predictors of anaemia. Helminth infestations can result in iron deficiency and anaemia; however, neither filariasis nor helminth diagnosis or treatment, within the last 6 months as reported by the caregiver, were associated with anaemia in this study. A study conducted in children aged 5–12 years living within the Pacific Islands in 2001–2002 also found no association between helminth infection and anaemia(Reference Hughes, Sharp and Hughes24). The American Samoa Department of Public Health is participating in the WHO Filariasis Campaign to control filariasis and helminthes. Therefore, helminth infection does not appear to be the primary cause for the high prevalence of anaemia within this population.

Physical activity is a Healthy People 2010 Leading Health Indicator. One of the objectives is to increase the proportion of adolescents who engage in vigorous activity that promotes cardiorespiratory fitness 3 or more days per week for 20 or more minutes per occasion(2). Within this study, 85 % of the children participated in physical activity at school. Increased physical activity is another important strategy to prevent and control overweight.

Within American Samoan children, aged 5–10 years, assessed within this study, the prevalence of anaemia was very high at 17 % compared to US children from NHANES III. Lower level of mother’s education and economic indicators were associated with a higher risk of anaemia. The mean BMIZ, WAZ and HAZ are high when compared to CDC reference data and to children of the same age range living in American Samoa assessed in 1978 and 1982. Effective child health initiatives will require leadership, strong health systems, targeted human and financial resources, and modifications to existing health systems(25).

The actual cause of anaemia within this population cannot be determined without additional biochemical analysis and future research initiatives should incorporate specific analysis to determine the iron status. Since obesity can also result in immunosuppression, infectious and non-infectious morbidity should be evaluated. In addition, detailed dietary intake including school meals should be evaluated along with determining of actual helminth infection.

The challenge of combating anaemia is in understanding how to implement effective and sustainable interventions(Reference Nantel and Tontisirin26). In American Samoa, local leaders and medical professionals will need to determine best practices for the region. Suggestions for clinical practice would be to incorporate the CDC recommendation for children aged 5–12 years, which includes screening for anaemia in children with low iron intake, special health-care needs and a history of iron deficiency anaemia(Reference Morey27). Primary prevention strategies need to be designed and tested and an adequate investment in resources are required to establish effective treatment plans(28). The results derived from this study provide a foundation for health policy, health promotion, programme implementation and on-going evaluation emphasising dietary adequacy and weight management to ensure health and nutrition initiatives for pre-adolescent children living in American Samoa are met.

Acknowledgements

Funding source:The project was funded primarily by the Office of Minority Health, Centers for Disease Control and Prevention and the Henry M. Jackson Foundation for the Advancement of Military Medicine through the Center for Disaster and Humanitarian Assistance Medicine, with additional funding provided through USDA/ADAP grant no. 00-38826-9180.

Conflict of interest:No conflicts of interest or financial interests are declared.

Author contributions:T.K. contributed to the concept and design, obtained funding, conducted the study, analysed and interpreted the data and drafted the manuscript. R.N. contributed to the concept and design, obtained funding, assisted with training and conducting of the study, provided recommendations about the interpretation of data analysis and contributed to writing the manuscript. A.S.G. assisted with project coordination and data collection. I.A. contributed to coordination and conduct of the study and critical revision of the article for important intellectual content.

Acknowledgements:Nicky Davison, Project Administrator, Healthy Living in the Pacific Islands Project, University of Hawaii-Manoa, provided project coordination assistance. Geraldine Perry, PhD, Division of Adult and Community Health, National Center for Chronic Disease Prevention and Health Promotion, CDC, provided consultation for the anaemia assessment. James Bindon, PhD, Department of Anthropology, University of Alabama, allowed the use of growth pattern data previously collected within children living in American Samoa during 1978 and 1982 for comparison.

Disclaimer:This work was performed at the Uniformed Services University of the Health Sciences, Bethesda, MD, USA. The views expressed in this manuscript are those of the authors and do not reflect the official policy of the Department of Army, Department of Defense or US Government.

References

1.Passi, SJ & Vir, SC (2001) Functional consequences of nutritional anemia in school age children. In Nutritional Anemias, pp. 89–109 [U Ramakrishnan, editor]. Washington, DC: CRC Press.Google Scholar
2.US Department of Health and Human Services (2000) Healthy People 2010. With Understanding and Improving Health and Objectives for Improving Health, 2nd ed. Washington, DC: US Government Printing Office.Google Scholar
3. Central Intelligence Agency (2008) The World Fact Book –American Samoa. http://www.cia.gov/library/publications/the-world-factbook/geos/aq.htmlGoogle Scholar
4. American Samoa Government Department of Health (2008) http://americansamoa.gov/departments/depts/health.htmGoogle Scholar
5. Secretariat of the Pacific Community (2008) Public Health Programme Healthy Pacific Lifestyle. http://www.spc.int/AC/Healthy_Lifestyle/regional_organisations.htmlGoogle Scholar
6. National Center for Health Statistics (2000) 2000 CDC Growth Charts: United States. http://www.cdc.gov/GROWTHCHARTS/Google Scholar
7.Bindon, JR & Zansky, SM (1986) Growth patterns of height and weight among three groups of Samoan preadolescents. Ann Human Biol 13, 171178.CrossRefGoogle ScholarPubMed
8.Centers for Disease Control and Prevention (1998) Recommendations to prevent and control iron deficiency in the United States. MMWR Recomm Rep 47, 129.Google Scholar
9. United Nations Children’s Fund (1998) Preventing Iron Deficiency in Women and Children: Background and Consensus on Key Technical Issues and Resources for Advocacy, Planning and Implementing National Programmes. Paper presented at the UNICEF/UNU/WHO/MI Technical Workshop, UNICEF, New York.Google Scholar
10.Bergstrom, E & Hernell, O (2001) Obesity and insulin resistance in childhood and adolescence. In Primary and Secondary Preventive Nutrition, pp. 165–184 [A Bendich and RJ Deckelbaum, editors]. Totowa, NJ: Humana Press.Google Scholar
11.Yip, R (2001) Iron deficiency and anemia. In Nutrition and Health in Developing Countries, pp. 327–342 [R Semba and M Bloem, editors]. Totowa, NJ: Humana Press.Google Scholar
12.Harmatz, P, Butensky, E & Lubin, B (2003) Nutritional anemias. In Nutrition in Pediatrics: Basic Science and Clinical Application, pp. 830 [WA Walker, JB Watkins and C Duggan, editors]. London: BC Decker Inc.Google Scholar
13.Hollowell, J, Van Assendelft, O, Gunter, E et al. (2005) Hemotological and Iron-Related Analytes-Reference Data for Persons Aged 1 Year and Over: United States, 1988–1994. Vital Health Statistics, vol. 11, p. 247. Hyattsville, MD: National Center for Health Statistics.Google Scholar
14.Dallman, PR, Yip, R & Johnson, C (1984) Prevalence and causes of anemia in the United States, 1976 to 1980. Am J Clin Nutr 39, 437445.Google ScholarPubMed
15.Cook, JD, Finch, CA & Smith, NJ (1976) Evaluation of the iron status of a population. Blood 48, 449455.CrossRefGoogle ScholarPubMed
16.Looker, AC, Dallman, PR, Carroll, MD, Gunter, EW & Johnson, CL (1997) Prevalence of iron deficiency in the United States. JAMA 277, 973976.CrossRefGoogle ScholarPubMed
17.Dungy, CI, Morgan, BC, Heotis, PM, Branson, HE & Adams, WH (1987) Normal hemotologic values and prevalence of anemia in children living on selected Pacific Atolls. Acta Haematol 77, 95100.CrossRefGoogle Scholar
18.Cavalli-Sforza, L, Rosman, A, de Boer, A & Darnton-Hill, I (1996) Nutritional aspects of changes in disease patterns in the Western Pacific Region. Bull World Health Organ 74, 307318.Google ScholarPubMed
19.Coyne, T (2000) Lifestyle Diseases in Pacific Communities. New Caledonia: Secretariat of the Pacific Community.Google Scholar
20.American Dietetic Association (2004) Position of the American Dietetic Association: dietary guidance for healthy children ages 2 to 11 years. J Am Diet Assoc 104, 660677.CrossRefGoogle Scholar
21.Institute of Medicine (2005) Preventing Childhood Obesity. Washington, DC: The National Academies Press.Google Scholar
22.Bindon, J (1994) Some implications of the diet of children in American Samoa. Coll Anthropol 18, 715.Google Scholar
23.National Academy of Sciences (2002) Dietary Reference Intakes for Vitamin A, Vitamin K, Arsenic, Boron, Chromium, Copper, Iodine, Iron, Manganese, Molybdenum, Nickel, Silicon, Vanadium and Zinc. Washington, DC: National Academy Press.Google Scholar
24.Hughes, R, Sharp, D, Hughes, M et al. (2004) Environmental influences on helminthiasis and nutritional status among Pacific schoolchildren. Int J Environ Health Res 14, 163177.CrossRefGoogle ScholarPubMed
25.Bellagio Study Group on Child Survival (2003) Knowledge into action for child survival. Lancet 362, 323327.CrossRefGoogle Scholar
26.Nantel, G & Tontisirin, K (2002) Supplement: forging effective strategies to combat iron deficiency. J Nutr 132, 839S844S.CrossRefGoogle Scholar
27.Morey, SS (1998) CDC issues guidelines for prevention, detection and treatment of iron deficiency. Am Fam Physician 58, 14751477.Google ScholarPubMed
28.Committee on Nutrition (2003) Prevention of pediatric overweight and obesity. Pediatrics 112, 24430.Google Scholar
Figure 0

Fig. 1 Prevalence of anaemia (Hb < 11·5 g/dl) in children aged 5–10 years living in American Samoa (n 208) as compared to US children (n 2776) using data from the Third National Health and Nutrition Examination Survey (NHANES III) (□, American Samoa; ▪, NHANES III)

Figure 1

Table 1 Percentage of children within each age category, and mean Hb and BMI-for-age, height-for-age and weight-for-age Z-score levels (n 208)

Figure 2

Fig. 2 Prevalence of anaemia within the American Samoan children by BMI-for-age and weight-for-age Z-score categories (n 208) (BMIZ, BMI-for-age Z-score; WAZ, weight-for-age Z-score). *Females with BMIZ and WAZ > 2·0 had a significantly higher prevalence of anaemia than males (P < 0·05). **Females with a WAZ > 2·0 had a significantly higher prevalence of anaemia than females with a WAZ ≤ 2·0 (P < 0·03) (▪, male; , female; □, both genders)

Figure 3

Fig. 3 (a) BMI-for-age Z-scores of American Samoan children aged 6–10 years from two studies, †,‡compared to Centers for Disease Control and Prevention (CDC) reference data. †Reference data set from Bindon and Zansky collected in 1978 and 1982 (1986)(7); n 228; Mean 0·49, sd 0·93. ‡2003 data: n 160; Mean 1·03, sd 1·02. *Statistically different (P < 0·000). (b) Weight-for-age Z-scores of American Samoan children aged 6–10 years from two studies, †,‡;compared to CDC reference data. †;Reference data set from Bindon and Zansky collected in 1978 and 1982 (1986)(7); n 228; Mean 0·38, sd 0·84. ‡2003 data: n 160; Mean 1·12, sd 1·20. *Statistically different (P < 0·000). (c) Height-for-age Z-scores of American Samoan children aged 6–10 from two studies, †,‡compared to CDC reference data. †Reference data set from Bindon and Zansky collected in 1978 and 1982 (1986)(7); n 228; Mean 0·07, sd 0·93. ‡2003 data: 160; Mean 0·71, sd 1·22. *Statistically different (P < 0·000) (, Theoretical Z-score distribution; , 1978; , 2003)