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Anaemia and associated factors among under-fives and their mothers in Bushenyi district, Western Uganda

Published online by Cambridge University Press:  06 April 2009

Joyce K Kikafunda*
Affiliation:
Department of Food Science and Technology, Makerere University, PO Box 7062, Kampala, Uganda
Fred B Lukwago
Affiliation:
Department of Food Science and Technology, Makerere University, PO Box 7062, Kampala, Uganda
Florence Turyashemererwa
Affiliation:
Department of Food Science and Technology, Makerere University, PO Box 7062, Kampala, Uganda
*
*Corresponding author: Email [email protected]
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Abstract

Objective

To determine the prevalence of anaemia and associated factors among under-fives and their mothers in a rural area of Western Uganda.

Design

A cross-sectional investigation using both qualitative and quantitative methods of data collection. Stratified multistage sampling methods were used to select the study sample. A haemoglobinometer was used to assess Hb levels in the blood.

Setting

A rural district in Western Uganda.

Subjects

Children aged 6–59 months and their mothers aged 15–49 years.

Results

The overall prevalence of Fe-deficiency anaemia among children and their mothers was 26·2 % and 17·9 %, respectively. There was a significant correlation (r = 0·5, P = 0·008) between the Hb levels of the mothers and their children. Place of birth, age of the child, factors related to complementary foods, and formal education and nutrition knowledge of the mother were major factors that were significantly associated (r = 0·05, P = 0·05) with low Hb levels among the children. The most important factors that were associated with low Hb levels of the mothers were their formal education, nutrition knowledge and health status.

Conclusions

Fe-deficiency anaemia was found to be a major problem in this cohort of children and their mothers. Dietary factors and sociodemographic factors were the major factors associated with high levels of anaemia among the children and their mothers. It is therefore recommended that rural mothers should be sensitized on best practices for prevention of anaemia among both women and children.

Type
Research Paper
Copyright
Copyright © The Authors 2009

Malnutrition remains a global challenge in developing countries, especially among young children and women of reproductive age (15–49 years). Malnourished women tend to deliver premature or underweight babies who are more likely to die or suffer from suboptimal growth and development(Reference Allen and Gillespie1). Thus, undernutrition and ill health are passed on from generation to generation. Morbidity and mortality are highest among those most severely malnourished. However, mildly or moderately underweight individuals experience the greatest total burden of disease(Reference Fishman, Caulfield, de Onis, Blossner, Hyder, Mullany and Black2).

Micronutrient deficiencies are the most common nutritional disorders in the world. These include vitamin A deficiency, iodine deficiency disorders and Fe-deficiency anaemia, the latter of which is the greatest problem(Reference Stoltzfus, Chwaya, Tielsch, Schulze, Albonico and Savioli3, Reference Sommer and West4). Globally, over 3·5 billion people, more than half the world’s population, are affected by Fe deficiency. Rates of Fe deficiency in developing countries are staggering (44 % of women, 42 % of preschoolers, 53 % of school-aged children and 33 % of men), with Asia and Africa having the highest prevalences(Reference Stoltzfus and Dreyfuss5).

As a major component of Hb, Fe is essential for the binding and transport of oxygen, as well as for the regulation of cell growth and differentiation(Reference Beard6). Fe deficiency is the primary cause of anaemia, although vitamin A deficiency and folate deficiency(Reference Karyadi and Bloem7), malaria and hookworm infestations(Reference Fleming8) and HIV/AIDS(Reference van den Broek, White and Neilson9) also result in anaemia. The major causes of anaemia in children in developing countries are mainly low bioavailability of Fe from plant-based diets resulting in inadequate dietary intakes of Fe and limited use of Fe-fortified infant foods and cereals(10). Fe deficiency in children results in neurological impairment and growth and developmental retardation, which may not be fully reversible(Reference Grantham-McGregor and Ani11).

In Uganda, 64 % of children <5 years of age and 30 % of women of reproductive age (15–49 years) had Fe-deficiency anaemia in 2000–1(12). Findings of the most recent demographic and health survey (2006) show that the levels of anaemia in children and mothers in Uganda have actually gone up, with 73 % of children aged 6–59 months and 49 % of women aged 15–49 years (childbearing age) being anaemic(13). A postpartum anaemia study showed a high prevalence (65 %) of anaemia among women in Tororo district, Eastern Uganda(Reference Sserunjogi, Schult and Whyte14). It is estimated that up to 30 % of maternal deaths are attributable to anaemia(15). A burden of disease study carried out by the Ministry of Health in several districts of Uganda ranked anaemia among the top ten leading causes of morbidity and mortality, responsible for 2·3 % of the burden of disease(16).

Fe deficiency is known to decrease immune function, but some investigators have also hypothesized that Fe supplementation increases infectious disease(Reference Caulfield, Richard and Black17). Indeed, some controversy exists concerning Fe-deficiency anaemia in that it does not appear to contribute to growth faltering(Reference Ramakrishnan, Aburto, McCabe and Martorell18). However, Stoltzfus et al.(Reference Stoltzfus, Mullany and Black19) found that Fe-deficiency anaemia was an underlying factor in 841 000 deaths per year resulting from maternal and perinatal causes, and it directly caused the deaths of 134 000 young children annually.

The present study was conducted to establish the prevalence of anaemia among the vulnerable groups of children and mothers and to determine whether there is a relationship between the Hb levels of the mothers and their children. In addition, the study sought to establish the factors associated with anaemia in this cohort of children and their mothers in a rural district in Western Uganda.

Methods

Study design and sampling procedures

The study employed a cross-sectional design using both qualitative and quantitative methods of data collection. Multistage sampling methods were used to select the study sub-counties, parishes and villages. Once a village was selected, all households with children <5 years of age had an equal chance of participating in the study. Stratified random sampling, with the help of local leaders, was used to select households with children <5 years of age.

Study sample

A sample of 104 subjects was recruited, of whom fifty-two were children <5 years old while fifty-two were the children’s mothers within the age range of 15–49 years.

Questionnaire validation and administration

A questionnaire was developed based on that used by the Uganda Demographic Health Survey(12) for a similar study and was validated by the ‘jury’ method(Reference Uwaegbute20). The pre-tested questionnaire was used to collect data on socio-economic and demographic characteristics, as well as maternal nutritional knowledge about enriching the child’s food and feeding habits. Maternal nutritional knowledge was determined using simple ‘yes’ or ‘no’ questions. The questionnaire was administered to the mothers in their own home settings (households).

Fe status assessment

Retractable disposable cuvettes (High Chem Uganda Limited, Kampala, Uganda) were used to draw blood samples and then inserted into a HemoCue® haemoglobinometer (HemoCue AB, Ångelholm, Sweden). The Hb assessment was done in the field at local health centres by a team of trained health personnel. The Hb levels in the blood were displayed on a digital register on the HemoCue and recorded. Cut-offs for anaemia, classified as severe, moderate and mild according to the WHO/United Nations University/UNICEF (2001) criteria, were used(21).

Data analysis

Data were entered and analysed using the SPSS version 12 statistical software package (SPSS Inc., Chicago, IL, USA) with statistical significance set at a P value of ≤0·05. Associations between variables were determined using Pearson’s correlations, and χ 2 tests and t tests to determine the relationships between variables.

Ethical clearance

Ethical clearance was given by Uganda National Council of Science and Technology. Before the study was conducted, the objectives and procedures were explained to the intended subjects who gave their informed consent.

Results

Sociodemographic characteristics of the study population

Table 1 summarizes the sociodemographic characteristics of the studied children, including age, sex, place of birth and factors related to complementary foods. A large proportion (44·4 %) of the children were in the 13–24 months age range. More than half of the children (56·9 %) were born at home. A large majority of the children (88·3 %) were introduced to complementary foods too early (at age 4 months and below), before the recommended age of 6 months. An even larger majority (96·6 %) of the children were weaned on to starchy staples such as cereal porridges. The majority of the children (79·7 %) who were >6 months of age had no specific meals prepared for them and were therefore sharing family meals.

Table 1 Sociodemographic characteristics of the under-fives (n 52), Bushenyi district, rural Western Uganda

Table 2 summarizes the sociodemographic characteristics of the studied mothers, which included age, physiological status, maternal education and factors related to health. More than a third of the mothers (36·5 %) were in the age range of 25–29 years. About a third of the mothers (31·0 %) had their first parity while still very young (<18 years), while more than two-thirds (67·2 %) had their first parity between 19 and 24 years. Two-thirds of the studied mothers (66·6 %) were lactating while 17·5 % were pregnant. Almost half of the mothers (49·2 %) had never attended any formal education, with 81·1 % not having any knowledge about enriching children’s food (enriching a child’s food entails adding energy- and nutrient-dense foods to a child’s food to nutritionally enrich it). The health unit was the major source of knowledge on Fe for the mothers, while acute respiratory infections were the main health problems among the study population. More than a quarter of the mothers (27·6 %) walked for 1–2 h to reach the nearest health facility.

Table 2 Sociodemographic characteristics of the mothers (n 52), Bushenyi district, rural Western Uganda

Prevalence of anaemia among the study population

The anaemia prevalence among the study population is shown in Table 3. The overall prevalence of anaemia among children and their mothers was 26·2 % and 17·9 %, respectively. Lactating mothers were more anaemic in all the three categories of Fe-deficiency anaemia compared with pregnant and non-lactating/non-pregnant mothers.

Table 3 Distribution of Hb (g/dl) among the study subjects, Bushenyi district, rural Western Uganda

Factors associated with anaemia among under-fives

In order to determine the factors associated with anaemia within the study population, all anaemia categories were merged to form two groups: anaemic and non-anaemic (normal). The factors associated with anaemia status of the children are presented in Table 4. The age of the child was significantly associated (P = 0·019) with the child’s anaemia status, with infants and children aged 1–3 years being more anaemic than their younger and older counterparts. Males were significantly (P = 0·005) more anaemic than females. The place of delivery was significantly (P = 0·035) associated with anaemia prevalence among the children, those born at home having a higher proportion of anaemia compared with those born at a health facility.

Table 4 Factors associated with the prevalence of anaemia (Hb < 11 g/dl) among the under-fives (n 52), Bushenyi district, rural Western Uganda

Maternal education was significantly (P = 0·000) associated with the children’s anaemia status, with mothers with no formal education and those with only primary education having more children with anaemia than mothers with secondary and tertiary education. The age of introduction of complementary foods was significantly (P = 0·001) associated with the children’s anaemia status, those who were introduced to complementary foods before 6 months having higher rates of anaemia (41·6 %) compared with those who started complementary foods after 6 months (5·0 %).

The poor access to information about enriching a child’s food also contributed significantly to anaemia among the children. Mothers who had no knowledge about enriching children’s food (e.g. the use of triple mixture ingredients from locally available foods) had significantly (P = 0·005) higher proportions of anaemic children compared with mothers who were knowledgeable in this respect. Children who were fed food prepared specially for them (i.e. enriched food) had significantly (P = 0·028) lower rates of anaemia than children who were usually fed family food with no special foods prepared for them. Those children whose first complementary foods were composed of mostly cereal porridges were significantly (P = 0·04) more anaemic than children those whose first complementary foods were animal products like cow’s milk. The mothers’ source of knowledge about Fe was not significantly associated with the anaemia status of their children.

Factors associated with anaemia among mothers

The results exploring the factors associated with anaemia status of the mothers are presented in Table 5. The health status of the mother was highly associated (P = 0·000) with her anaemia status, with mothers who had acute respiratory infections, worms or malaria being more anaemic. Mothers who were lactating were significantly (P = 0·043) more anaemic than non-lactating mothers. Maternal education was significantly (P = 0·03) associated with the anaemia status of the mothers: almost half of the mothers (49·2 %) with no formal education and 37·3 % of mothers with only with primary level education were anaemic compared with 8·5 % and 5·1 % of mothers with secondary or tertiary education, respectively (Fig. 1). On the other hand, age of the mother, the age at which the mother had her first child (age of first parity) and distance to the health facility were not significantly associated with the anaemia status of the mother.

Table 5 Factors associated with the prevalence of anaemia (Hb < 11 g/dl) among the mothers (n 52), Bushenyi district, rural Western Uganda

Fig. 1 Association of education with anaemia (Hb < 11 g/dl) among mothers aged 15–49 years, Bushenyi district, rural Western Uganda

Discussion

Gender and age of the child

Some authors have found no significant difference in the prevalence of anaemia(Reference Michaelsen, Milman and Samuelson22) or Hb concentration(Reference Brault-Dubuc, Nadeau and Dickie23) in terms of gender, while others have demonstrated that the prevalence of anaemia can vary between male and female children(Reference Brault-Dubuc, Nadeau and Dickie23). They argued that the higher prevalence among boys has to do with their growth; their bodies demand a higher amount of Fe, which cannot be supplied by the diet. The current study found that male children were significantly (P = 0·005) more anaemic than female children in rural Western Uganda.

Among under-fives, those aged 6–24 months are at most risk of being Fe-deficient(Reference ZIotkin24). In the present study, children aged 13–24 months had significantly (P = 0·019) higher levels of anaemia than those <12 months or >24 months of age. The Fe stores present at birth and in breast milk protect the infant from Fe deficiency up to 6 months of age(Reference Dallman25). However, breast milk alone cannot provide the Fe needs of an infant beyond 6 months of age. Above this age, dietary sources of Fe become critical to keep up with the child’s rapid rate of red blood cell synthesis(Reference Emond, Hawkins, Pennock and Golding26).

Factors related to complementary foods

The choice of complementary foods markedly influences the Fe status of the child(Reference Silva, Giugliani and Aerts27). The first complementary foods given during infancy and early childhood pose a high risk factor for Fe deficiency if they are relatively low in Fe content. In the present study, children whose complementary foods were mostly made up of staples, e.g. cereal porridges, were significantly more anaemic (P = 0·04) than children who were given animal products like cow’s milk (Table 4).

Staple crops provide a large proportion of the total daily intake of energy and micronutrients among poor populations who have limited access to animal foods(Reference Allen, Backstrand, Chavez and Pelto28, Reference Kikafunda, Walker and Tumwine29). However, the sources of Fe from such foods are non-haem forms, which have low bioavailability(Reference Gibson30, Reference Bouis31). The main problem with diets based on non-animal foods is that they usually contain large amounts of phytic acid, the most potent inhibitor of non-haem Fe absorption. Among the dietary factors involved in the causes of Fe deficiency, a low-Fe diet and low Fe bioavailability are some of the most important(Reference Yip32).

The time of introduction of these complementary foods was significantly (P = 0·001) associated with the anaemia status of the children in the current study. Most anaemic children (88·3 %) had complementary foods before 6 months of age. This period is associated with risk of infections, which are likely to cause childhood illnesses, especially diarrhoea. Information from other studies confirms that exclusive breast-feeding is protective against Fe deficiency for infants up to 6 months of age, after which the Fe concentration in breast milk will not meet the infant’s Fe requirements(Reference Dallman, Siimes and Stekel33). When the infant receives exclusive breast-feeding, Fe stores from birth to the 6th month of life meet the infant’s physiological requirements; therefore, infants do not have to be supplemented with other foods(Reference Siimes, Salmenpera and Perheentupa34, Reference Dewey, Cohen, Rivera and Brown35) during this period owing to the high bioavailability of Fe in human milk (about 50 %), which can however decrease by 80 % when infants are fed other foods. Therefore, early introduction of complementary foods is a risk factor for the development of Fe-deficiency anaemia in infants(Reference Fairweather-Tait36, Reference Lönnerdal37). For children >6 months old, it has been reported that breast-feeding is not a predictive factor for Fe deficiency(Reference Karr, Alperstain, Cuser and Mira38, Reference Lehmann, Gray-Donald, Mongeon and Tommaso39).

Lack of special meals for the children was also significantly (P = 0·028) associated with high levels of anaemia among the study children, as most anaemic children (37·1 %) did not have any special meals prepared for them. The study results further showed that children with mothers who had no knowledge of enriching children’s foods were significantly (P = 0·005) more anaemic compared with children whose mothers had knowledge on food enrichment. Traditional porridges, normally prepared by heating cereal flour with water, form an important part of the diet for weaning infants and young children. The starch granules bind much water, swell and gelatinize, becoming thick and viscous at very low concentrations, with high dietary bulk but low energy and nutrient density(Reference Kikafunda, Walker and Abeyasekera40, Reference Gompakis, Economou, Tsantali, Kouloulias, Keramida and Athanasiou-Metaxa41). Use of a triple mixture of ingredients(42) and the addition of other nutrient-dense foods such as cow’s milk and/or groundnuts(Reference Kikafunda, Walker and Abeyasekera40) would make them more nutrient-dense.

Health factors

A lack of appropriate health-care services that could prevent anaemia by enabling early identification of individuals with Fe deficiency does not allow the timely treatment of such condition. Therefore, health services should be in proximity to needy vulnerable groups, especially children and pregnant mothers. In relation to the above, children who were delivered at home were significantly (P = 0·035) more anaemic compared with those delivered at health units (Table 4). This is because those mothers who delivered at health units had been getting antenatal care including Fe and folate supplementation.

Diseases and infections greatly lead to anaemia among pre-school children(42, Reference Jansson, Kling and Dallman43) and pregnant women(Reference Jansson, Kling and Dallman43, Reference Osório, Lira and Batista-Filho44) despite the number of intervention programmes to reduce the problem(21). In the current study, the health status of the mother was highly associated (P = 0·000) with her anaemia status, with mothers who had acute respiratory infections, worms and malaria being more anaemic. There are vast possibilities for developing anaemia after an acute infection episode, and these possibilities vary according to the length and severity of the disease(Reference Jansson, Kling and Dallman43, Reference Osório, Lira and Batista-Filho44). According to Reeves et al.(Reference Reeves, Yip, Kiley and Dallman45), mild diarrhoeal disease affects approximately 60 % of children aged <1 year, between the ninth and twelfth month of life, and these diseases are associated with low Hb concentration.

Education and physiological status of the mother

Mothers’ education level was found to be a significant socio-economic factor for the occurrence of anaemia among both mothers (P = 0·03) and their children (P = 0·000), as shown in Fig. 1. These findings are in agreement with those found in Uganda(12, 13) and elsewhere(Reference Brooker, Peshu, Warn, Mosobo, Guyatt, Marsh and Snow46), and show that higher levels of undernutrition among the under-fives was related to lower maternal education.

In relation to physiological status of the mother, i.e. whether she is pregnant or lactating, it was observed that lactating mothers were more anaemic than non-pregnant/non-lactating mothers and this agrees with the current findings in Uganda(12). This could be attributed the fact that the mothers’ Fe stores are being mobilized into milk for lactation.

Relationship between Hb levels of mother and child

In the present study, a positive and significant (r = 0·05, P = 0·008) relationship was revealed between the anaemia status of the mother and the child. It was found that anaemic mothers had significantly more anaemic children. This is in agreement with the findings of other studies in Uganda(12).

Conclusion

Fe-deficiency anaemia was found to be a major problem in this cohort of children and their mothers. The most important factors that affected the Hb levels of the mothers and their children were place of birth, complementary foods (their type and time of introduction), age and sex of the child, and education, nutrition knowledge and physiological status of the mother.

The age at introduction of complementary foods was significantly (P = 0·001) associated with the anaemia status of the children, with those who were introduced to complementary foods before 6 months of age having higher rates of anaemia (41·6 %) than those who started complementary foods after 6 months (5·0 %). Most study children (88·3 %) had complementary foods before 6 months of age.

It is therefore recommended that rural mothers should be sensitized on best practices for proper child feeding and care in order to reduce the high prevalence of anaemia and associated health problems.

Acknowledgements

The study was supported by the Vision 2020 initiative of the International Food Policy Research Institute (IFPRI; Washington, DC, USA). The authors have no conflicts of interest. J.K.K. is the principal investigator; she wrote the project proposal and the study protocol, and supervised data collection, processing and write up. F.B.L. participated in data collection and assisted in writing the manuscript. F.T. participated in data collection and assisted in writing the manuscript. All authorities who granted us permission to carry out the study and everyone who gave us both material and moral support are gratefully acknowledged. We thank IFPRI for funding the study and the mothers and children who participated.

References

1.Allen, L & Gillespie, S (2001) What Works? A Review of the Efficacy and Effectiveness of Nutrition Interventions. Geneva: UN ACC/SCN in collaboration with the Asian Development Bank.Google Scholar
2.Fishman, S, Caulfield, L, de Onis, M, Blossner, M, Hyder, A, Mullany, L & Black, R (2004) Childhood and maternal underweight. In Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors, vol. 1, pp. 39162 [M Ezzati, AD Lopez, A Rodgers and CJL Murray, editors]. Geneva: WHO.Google Scholar
3.Stoltzfus, RJ, Chwaya, HM, Tielsch, JM, Schulze, KJ, Albonico, M & Savioli, L (1997) Epidemiology of iron deficiency anemia in Zanzibari schoolchildren: the importance of hookworms. Am J Clin Nutr 65, 153159.CrossRefGoogle ScholarPubMed
4.Sommer, A & West, KP (1996) Vitamin A Deficiency: Health, Survival, and Vision. New York: Oxford University Press.CrossRefGoogle Scholar
5.Stoltzfus, RJ & Dreyfuss, ML (1998) Guidelines for the Use of Iron Supplements to Prevent and Treat Iron Deficiency Anemia. Washington, DC: ILSI Press.Google Scholar
6.Beard, JL (2001) Iron biology in immune function, muscle metabolism and neuronal functioning. J Nutr 131, 2 Suppl. 2, S568S579.CrossRefGoogle ScholarPubMed
7.Karyadi, D & Bloem, MW (1996) The role of vitamin A in iron deficiency anemia and implications for interventions. Biomed Environ Sci 9, 316324.Google ScholarPubMed
8.Fleming, AF (1981) Haematologic manifestations of malaria and other parasitic diseases. Clin Haematol 10, 9831011.CrossRefGoogle ScholarPubMed
9.van den Broek, NR, White, SA & Neilson, JP (1998) The association between asymptomatic HIV infection and the prevalence and severity of anemia in pregnant Malawian women. Am J Trop Med Hyg 59, 10041007.CrossRefGoogle ScholarPubMed
10.Administrative Committee on Coordination, Sub-committee on Nutrition (1987) First Report on the World Nutrition Status. Rome: FAO.Google Scholar
11.Grantham-McGregor, SM & Ani, CC (1999) The role of micronutrients in psychomotor and cognitive development. Br Med Bull 55, 511527.CrossRefGoogle ScholarPubMed
12.Uganda Bureau of Statistics & ORC Macro (2001) UDHS (Uganda Demographic and Health Survey), 2000–2001. Entebbe, Uganda/Calverton, MD: Uganda Bureau of Statistics & and ORC Macro.Google Scholar
13.Uganda Bureau of Statistics & ORC Macro (2006) UDHS (Uganda Demographic and Health Survey), 2006. Kampala, Uganda/Calverton, MD: Uganda Bureau of Statistics, and ORC Macro.Google Scholar
14.Sserunjogi, L, Schult, F & Whyte, SR (2003) Postnatal anaemia: neglected problems and missed opportunities in Uganda. Health Policy Plan 18, 225231.CrossRefGoogle ScholarPubMed
15.Ministry of Health, Republic of Uganda (2002) Anemia Policy. Kampala, Uganda: Ministry of Health.Google Scholar
16.Ministry of Health (1997) Burden of Disease Study. Kampala, Uganda: Ministry of Health.Google Scholar
17.Caulfield, LE, Richard, SA & Black, RE (2004) Undernutrition as an underlying cause of malaria morbidity and mortality in children. Am J Trop Med Hyg 71, Suppl. 2, S55S63.CrossRefGoogle ScholarPubMed
18.Ramakrishnan, U, Aburto, N, McCabe, G & Martorell, R (2004) Multimicronutrient interventions but not vitamin A or iron interventions alone improve child growth: results from three meta-analyses. J Nutr 134, 25922602.CrossRefGoogle Scholar
19.Stoltzfus, RJ, Mullany, L & Black, RE (2004) Iron deficiency anemia. In Comparative Quantification of Health Risks: Global and Regional Burden of Disease Attributable to Selected Major Risk Factors, vol. 1, pp. 163209 [M Ezzati, AD Lopez, A Rodgers and CJL Murray, editors]. Geneva: WHO.Google Scholar
20.Uwaegbute, AC (1991) Weaning foods and weaning practices of the Housas, Yorubas and Ibos of Nigeria. Ecol Food Nutr 26, 139153.CrossRefGoogle Scholar
21.World Health Organization/United Nations University/UNICEF (2001) Iron Deficiency Anaemia Assessment, Prevention and Control: A Guide for Programme Managers. Geneva: WHO.Google Scholar
22.Michaelsen, KF, Milman, N & Samuelson, G (1995) A longitudinal study of iron status in healthy Danish infants: effects of early iron status, growth velocity and dietary factors. Acta Paediatr 84, 10341044.CrossRefGoogle ScholarPubMed
23.Brault-Dubuc, M, Nadeau, M & Dickie, J (1983) Iron status of French-Canadian children: a three years follow-up study. Hum Nutr Appl Nutr 37A, 210221.Google Scholar
24.ZIotkin, S (2003) Clinical nutrition: the role of nutrition in the prevention of iron deficiency anemia in infants, children and adolescents. CMAJ 168, 5963.Google Scholar
25.Dallman, PR (2003) Changing iron needs from birth through adolescence. In Nutritional Anemias. Nestlé Nutrition Workshop Series no. 30, pp. 2938 [SJ Fomon and SH Zlotkin, editors]. New York: Vevey/Raven Press.Google Scholar
26.Emond, AM, Hawkins, N, Pennock, C & Golding, J (1996) Haemoglobin and ferritin concentrations in infants at 8 months of age. Arch Dis Child 74, 3036.CrossRefGoogle ScholarPubMed
27.Silva, LSM, Giugliani, ERJ & Aerts, DRGC (2001) Prevalence and determinants of anemia in Brazil. Rev Saude Publica 35, 6673.CrossRefGoogle Scholar
28.Allen, LH, Backstrand, JR, Chavez, A & Pelto, GH (1992) Functional Implications of Malnutrition. People cannot live by tortillas alone: the results of Mexico CRSP. Final Report of Mexico Project. Washington, DC: Human Nutrition Collaborative Research Program, USAID.Google Scholar
29.Kikafunda, JK, Walker, AF & Tumwine, JK (2003) Weaning foods and practices in Central Uganda: a cross-sectional study. Afr J Food Agric Nutr Dev 2, issue 3.Google Scholar
30.Gibson, RS (1994) Zinc nutrition in developing countries. Nutr Res Rev 7, 151173.CrossRefGoogle ScholarPubMed
31.Bouis, H (1999) Enrichment of food staples through plant breeding: a new strategy for fighting micronutrient malnutrition. Nutr Rev 54, 131137.CrossRefGoogle Scholar
32.Yip, R (1994) Iron deficiency: contemporary scientific issues and international programmatic approaches. J Nutr 124, 8 Suppl., 1479S1490S.CrossRefGoogle ScholarPubMed
33.Dallman, PR, Siimes, MA & Stekel, A (1980) Iron deficiency in infancy and childhood. Am J Clin Nutr 33, 86118.CrossRefGoogle ScholarPubMed
34.Siimes, MA, Salmenpera, L & Perheentupa, J (1984) Exclusive breastfeeding for 9 months: risk of iron deficiency. J Pediatr 104, 196199.CrossRefGoogle ScholarPubMed
35.Dewey, KG, Cohen, REJ, Rivera, LL & Brown, KH (1998) Effects of age of introduction of complementary foods on iron status of breast-fed infants in Honduras. Am J Clin Nutr 67, 878884.CrossRefGoogle ScholarPubMed
36.Fairweather-Tait, SJ (1992) Iron deficiency in infancy: easy to prevent – or is it? Eur J Clin Nutr 46, Suppl. 4, S9S14.Google ScholarPubMed
37.Lönnerdal, B (1984) Iron and breast milk. In Iron Nutrition and Infancy and Childhood. Nestlé Nutrition Workshop Series no. 4, pp. 95117 [A Stekel, editor]. New York: Raven Press.Google Scholar
38.Karr, M, Alperstain, G, Cuser, JC & Mira, M (1996) Iron status and anaemia in preschool children in Sydney. Aust N Z J Public Health 20, 618622.CrossRefGoogle ScholarPubMed
39.Lehmann, F, Gray-Donald, K, Mongeon, M & Tommaso, SD (1992) Iron deficiency anemia in one year old children of disadvantaged families in Montreal. CMAJ 146, 15711577.Google Scholar
40.Kikafunda, JK, Walker, AF & Abeyasekera, S (1997) Optimising viscosity and energy density of maize porridges for child weaning in developing countries. Int J Food Sci Nutr 48, 401409.CrossRefGoogle Scholar
41.Gompakis, N, Economou, M, Tsantali, C, Kouloulias, V, Keramida, M & Athanasiou-Metaxa, M (2007) The effect of dietary habits and socioeconomic status on the prevalence of iron deficiency in children of northern Greece. Acta Haematol 117, 200204.CrossRefGoogle ScholarPubMed
42.World Health Organization/UNICEF (1998) Complementary Feeding of Young Children in Developing Countries: A Review of Current Scientific Knowledge. WHO/NUT/98.1. Geneva: WHO.Google Scholar
43.Jansson, LT, Kling, S & Dallman, PR (1986) Anemia in children with acute infections seen in a primary care pediatric outpatient clinic. Pediatr Infect Dis 4, 424427.CrossRefGoogle Scholar
44.Osório, MM, Lira, PIC & Batista-Filho, M (2001) Prevalence of anaemia in children 6–59 months old in the state of Pernambuco, Brazil. Rev Panam Salud Publica 10, 101107.CrossRefGoogle ScholarPubMed
45.Reeves, JD, Yip, R, Kiley, VA & Dallman, PR (1984) Iron deficiency in infants: the influence of mild antecedent infection. J Pediatr 105, 874879.CrossRefGoogle ScholarPubMed
46.Brooker, S, Peshu, N, Warn, PA, Mosobo, M, Guyatt, HL, Marsh, K & Snow, RW (1999) The epidemiology of hookworm infection and its contribution to anemia among preschool children on the Kenyan coast. Trans R Soc Trop Med Hyg 93, 240246.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Sociodemographic characteristics of the under-fives (n 52), Bushenyi district, rural Western Uganda

Figure 1

Table 2 Sociodemographic characteristics of the mothers (n 52), Bushenyi district, rural Western Uganda

Figure 2

Table 3 Distribution of Hb (g/dl) among the study subjects, Bushenyi district, rural Western Uganda

Figure 3

Table 4 Factors associated with the prevalence of anaemia (Hb < 11 g/dl) among the under-fives (n 52), Bushenyi district, rural Western Uganda

Figure 4

Table 5 Factors associated with the prevalence of anaemia (Hb < 11 g/dl) among the mothers (n 52), Bushenyi district, rural Western Uganda

Figure 5

Fig. 1 Association of education with anaemia (Hb < 11 g/dl) among mothers aged 15–49 years, Bushenyi district, rural Western Uganda