A longitudinal study on anaemia in children with Plasmodium falciparum infection in the Mount Cameroon region: prevalence, risk factors and perceptions by caregivers

  • Irene Ule Ngole Sumbele1Email author,

    Affiliated with

    • Moses Samje2 and

      Affiliated with

      • Theresa Nkuo-Akenji3

        Affiliated with

        BMC Infectious Diseases201313:123

        DOI: 10.1186/1471-2334-13-123

        Received: 14 October 2012

        Accepted: 1 March 2013

        Published: 5 March 2013



        In heavily endemic malaria areas, it is almost inevitable that malarial infection will be associated with anaemia, although malaria may not be the prime cause of it. Anaemia is a major public health problem in Cameroon. We hypothesized that, factors other than falciparum malaria account for anaemia in the study area.


        A longitudinal study was conducted among 351 Plasmodium falciparum positive children to determine the prevalence, risk factors and the perception of anaemia by the caregivers in a semi-rural community. The investigative methods included the use of a structured questionnaire, clinical evaluation and laboratory investigations.


        At enrolment the overall prevalence of anaemia as assessed by Hb concentration (Hb < 11 g/dl) was 80.3% (282). Following treatment the prevalence of persistent anaemia was 6% and 46.2% of the children achieved haematological recovery by day 42. Exploratory multiple linear regression analysis showed the following; parasitaemia density (P < 0.01), enlarged spleen (P < 0.05), duration of fever > 2 days (P < 0.01), high white blood cell count (P < 0.001), sex (P < 0.05), iron status indicators (ferritin and transferrin) (P < 0.001), level of education of the caregiver (P < 0.05), management of onset of malaria by caregiver (P < 0.005) and wasting (P < 0.05) to be risk factors for anaemia in children with falciparum infection. Approximately 75.5% (265) of the caregivers had some knowledge about anaemia.


        The identified risk factors revealed the important contributors to the pathogenesis of anaemia in the Mount Cameroon region. Control efforts should therefore be directed towards proper health education emphasizing on proper health seeking behaviour and attitudes of the population.


        Falciparum malaria Anaemia Risk factors Haemoglobin Prevalence Children Caregivers


        With about 216 million cases of malaria and an estimated 3.3 billion people reported at risk, malaria is still a major public health challenge [1]. Greater than 80% of malaria-related morbidity and mortality occurs in sub- Saharan Africa due to infections with Plasmodium falciparum[2]. In heavily endemic malaria areas, it is almost inevitable that malarial infection will be associated with anaemia, although malaria may not be the prime cause of it [3, 4].

        Anaemia an indicator of both poor nutrition and poor health is a common and sometimes serious complication of P. falciparum infection [5, 6]. Anaemia impairs normal development in children and it constitutes a major public health problem in young children in the developing world with wide social and economic implication [7].The highest prevalence of anaemia exists in the developing world where its causes are multi-factorial [8]. The complex aetiology of anaemia involves the interaction between multiple factors including nutritional deficiencies, genetic red blood cell disorders, infectious diseases particularly malaria, hookworm and human immunodeficiency virus infections [9].

        Data on the prevalence of anaemia are limited in this area. Cornet et al. [7] reported that 42% of the children less than three years of age in Southern Cameroon were anaemic. Furthermore, a 2004 national survey on anaemia in preschool children (< 5 years) revealed anaemia to be a severe public health problem in Cameroon with a prevalence of 68.3% [6]. Information on anaemia prevalence must be collected in order to assess the impact of interventions, the adequacy of strategies implemented, and the progress made in the fight against anaemia. However, estimates of anaemia prevalence by themselves are only useful if they are associated with a picture of the various causal factors that contribute to the development of anaemia in a specific setting [6].

        One strategy for reducing the morbidity and mortality that may be associated with anaemia is to identify the predictors that can be readily recognized to facilitate prompt therapeutic interventions especially in children residing in resource-poor settings. Family size, residence, younger age, duration of illness, a palpable spleen or liver, gender, history of fever, pale body, general body weakness, diarrhoea, soil-eating, stunting, malaria parasitaemia and recrudescent infections have been associated with mean haemoglobin levels [1015]. The factors which identify patients at risk of developing anaemia during malaria have been infrequently studied in this region. It is unclear whether these factors alone or in addition to others, are associated with the anaemia of uncomplicated malaria infection in Cameroonian children. We hypothesized that, factors other than falciparum malaria account for anaemia in the study area.


        Study area and subjects

        The study was carried out in Muea village a semi rural setting in the Mount Cameroon Region. The study area has been described in detail by Sumbele et al. [16]. The children who participated in the study weighed > 5 kg, were ≤ 14 years old, P. falciparum parasitaemia positive and sickle test negative. Children who presented with fever, joint pains, headache, malaise, abdominal pain, nausea and vomiting were considered to be symptomatic (clinical malaria). Following government guidelines, children with clinical malaria and malaria parasite positive slides were treated with a standard dose of 4 mg/kg body weight (bw) of Artesunate and 10 mg/kg bw of amodiaquine given once a day for 3 days.

        Study design

        This longitudinal study was carried out from January to November 2006, to include the rainy season (April-September) which has been reported as the peak malaria transmission period in the locality [17]. The investigation methods included the use of a structured questionnaire, clinical evaluation and laboratory investigations. Clinical and parasitological examinations were done at enrolment followed by treatment on day zero (D0). Follow up investigations were conducted on D 7, 14, 21, 28 and 42 for children with clinical malaria. At each follow-up visit the children were assessed clinically and fresh samples of capillary blood obtained from them by finger-prick for the determination of haemoglobin (Hb), haematocrit and parasitological counts. Persistent anaemia was defined as Hb concentration that remained below 11 g/dL for the duration of the follow up while haematological recovery was defined as an Hb concentration of at least 11.0 g/dL on D42 in a patient found anaemic on D0 [12, 18].


        A structured questionnaire on the risk factors was administered to caregivers (parents or guardian) in their home settings to obtain information on child and household demographics; treatment seeking behaviour; knowledge, attitude and practices on anaemia; mosquito avoidance practices; anti-malarial drug use and information on type of food consumed in the previous seven days.

        Clinical evaluation

        Clinical evaluation was carried out by trained medical personnel from the Muea health centre in their homes and this consisted of general examination. Axillary body temperature was measured using a digital thermometer. A child was considered febrile when he/she had an axillary body temperature ≥ 37.5°C. Weight and height were measured using a Terraillon weighing scale (Terraillon, Paris) and a measuring tape, respectively. Ages of the children were obtained from their mothers and verified from their birth certificates. Height-for-age (HAZ), weight-for-age (WAZ) and weight-for-height (WHZ) standard deviation (SD) scores (z scores) were computed based on the National Center for Health Statistics (NCHS)-WHO growth reference curves using the nutrition module of the Epi Info 2000 programme [2]. Children with <−2 and <−3 SD were classified as malnourished and severely malnourished respectively. The tip of the spleen was felt by pressing the abdomen under the left coastal border and splenomegaly was graded according to the classification of Hackett [19].

        Sample collection

        On D0 and D42 approximately 4–5 ml of blood sample was collected from the children by venipuncture into 5 ml sterile disposable syringes (Cathy Yougo) and dispensed into micro-containers or vacutainers containing ethylenediaminetetraacetate (EDTA) solution. Drops of whole blood were dispensed immediately on slides to prepare blood films. The caregivers and their children were instructed clearly on how to collect stool samples. Each child was then given a labelled, clean, wide-mouthed and screw-capped container to bring the stool sample. Labelled blood and stool samples were then transported on ice in a cool box to the University of Buea malaria research laboratory for further analyses.

        Laboratory methods

        The thick and thin blood smears prepared on glass slides at the time of blood sampling were stained with Giemsa stain and examined following standard protocols [20]. Parasite density was determined on the bases of number of parasites per 200 leukocytes on thick blood film with reference to subjects white blood cell counts (WBC). If gametocytes were seen, the count was extended to 500 leukocytes [21]. Haemoglobin (Hb) concentration was measured in the field using a Stanbio STAT-SiteR Test Kit (STAT-site MHgb Meter, stanbio Laboratory, Texas, USA) following the manufacturer’s instructions. Anaemia was defined as Hb concentration < 11 g/dL and further categorized as mild (Hb between 10.1–10.9 g/dl), moderate (Hb between 7.0 -10.0 g/dl) and severe (Hb < 7 g/dl) anaemia [20, 22]. White blood cell (WBC) counts were determined using the improved Naubauer haemacytometer as described by Cheesbrough [20] and Dacie and Lewis [23]. Determination of platelet count was done using the improved Naubauer ruled counting chamber as described by Cheesebrough [20].

        Stool samples were examined for helminths by the Kato–Katz thick smear technique [20]. Plasma iron concentration was assayed using the iron ferrozine reagent (Ferrozine®, Elitech, France) following manufacturer’s instruction. Plasma transferrin was assayed by radial immunodiffussion using the transferrin id reagent kit (Cromatest, Linear chemicals S.L) following the manufacturer’s instruction. Plasma ferritin was assayed using the LISA 300 plus system (Labo Tech Medicale) and ferritin calibrator set (Human Gesellschaft fur Biochemica und Diagnostica mbH, Germany) prepared from human sera. Iron deficiency was defined as plasma ferritin concentration < 30 ng/mL.

        Statistical analysis

        Data was doubly entered and validated using SPSS version 11.5 and Epi-info soft ware. Analysis was done with SPSS version 17 (SPSS, Inc., Chicago, IL, USA). Data was summarized into means and standard deviations, and percentages were used in the evaluation of the descriptive statistics. Chi square (χ2) test was used to compare the prevalence of anaemia in the various groups of subject. The Epi Info package (Epi Nut module) was used to analyze WAZ, WHZ, and HAZ z-scores. Four exploratory multiple linear regression (MLR) models namely; biological (host and parasite factors ), socio economic, management and prevention and integrated models were created containing all the possible associations with haemoglobin as the dependent variable to assess the factors associated with the risk of developing anaemia in children with falciparum malaria. Exploratory analyses were used to reduce the number of potential confounders. The exploratory MLR model was run using the z scores of the variables. All results were considered to be statistically significant at 95% probability level (P < 0.05).

        Ethical consideration

        The study received administrative approval by the Ministry of Public Health Cameroon. The Ethical Committee of the University of Buea issued the ethical clearance document. Additional authorisation was obtained from the local health committee and the village chief. Children participated in the study if a parent or guardian signed the informed consent form. The parents or guardian and their children were informed that their participation in the study was voluntary and could withdraw at any time without any explanation.


        Baseline characteristics of the subjects

        A total of 351 P. falciparum infected children (46.2% females and 53.8% males) with a mean age of 6.45 ± 7.9 years (6 months to 14 years) residing in the Mount Cameroon region were evaluated for the prevalence and risk factors of anaemia. More than half of the children were infected with soil-transmitted helminths (STH) and the prevalence of fever and malnutrition was low (Table 1). The most prevalent STH was Ascaris lumbricoides (49.0%) with a mean egg per gram of faeces of 549.5 ± 2008.8, followed by Trichuris trichiura (43.4%, 119.6 ± 167.6) and hookworms (19.4%, 40.3 ± 63).
        Table 1

        Baseline characteristics of the 351 children with P. falciparum infection



        Age groups

        ≤ 5 years % (n)

        51.3% (180)

        > 5 years % (n)

        48.7% (171)


        Female % (n)

        46.2% (162)

        Male % (n)

        53.8% (189)

        Mean age in years (n)

        6.45 ± 7.9 (351)

        Mean height in cm (Range)

        107.40 ± 23.18 (59 – 170)

        Mean weight in kg (Range)

        21.09 ± 9.99 (7–55)

        “Prevalence (%) of fever (Temp. ≥ 37.5°C)” (n)

        29.3 (103)

        Mean temp in °C. (Range)

        37.16 ± 0.64 (35.5 - 40.4)

        Mean Hb in g/dl (Range)

        9.42 ± 1.75 (5.9 – 15.9)

        Mean egg per gram of faeces (Range)

        285.67 ± 1310.46 (24–14976)

        Mean WBC ×109/L (Range)

        11.64 ± 19.39 (2.2 – 33.5)

        Geometric mean parasite density (Range)

        795.1 ± 18511.9 (40 – 202660)

        Prevalence (%) of clinical malaria (n)

        53.0 (186)

        Prevalence (%) of gametocytaemia (n)

        29.9 (105)

        Prevalence (%) of splenomegaly (n)

        25.1 (88)

        Prevalence (%) of soil-transmitted helminth infection(n)

        55.8 (196)

        Prevalence (%) of malnutrition (n)

        23.4 (82)

        Stunting, wasting and underweight were prevalent in 20.5%, 2.6% and 8.1% of the children while 6.9%, 0.3%, and 1.4% were severely stunted, wasted and underweight respectively. Children who were ≤ 5 years old had a significantly (χ2 = 4.9, P = 0.02) higher prevalence of underweight (11.2%) when compared with those > 5 years (4.7%). Equally, malnutrition was significantly (χ2 = 5.01 P = 0.03) higher in males (28.0%) than in females (17.9%).

        The prevalence of iron deficiency was comparable (P > 0.05) in males (27.5%) and females (27.8%). Although not statistically significant (P > 0.05), the prevalence of abnormal transferrin, ferritin and iron values was higher in females (60.5%, 64.5%, 57.9%) than males (51.1%, 57.6% and 55.9% respectively).

        Prevalence of anaemia at enrolment

        Anaemia as assessed by Hb concentration (Hb < 11 g/dl) was prevalent in 80.3% (282) of the children. The prevalence of mild, moderate and severe anaemia in the study population was, 22.7% (64), 65.2% (184) and 12.1% (34) respectively. Children ≤ 5 years had a significantly (P < 0.01) higher prevalence of anaemia when compared with those greater > 5 years. Similarly the prevalence of anaemia in children with enlarged spleens was significantly (P < 0.01) higher than those with normal spleen (Table 2). The prevalence of anaemia in children with fever increased with the category of pyrexia with all children having hyper pyrexia (Temp ≥ 39°C) being anaemic (Table 2). Although not significant (P > 0.05) children who were co-infected with helminths, had clinical malaria and those malnourished had a higher prevalence of anaemia than their counterparts (Table 2).
        Table 2

        Anaemia prevalence in the various categories of children with P. falciparum infection



        Anaemia prevalence in % (n)

        Level of significance




        79.0 (128)

        χ2 = 0.34



        81.5 (154)

        P = 0.56

        Age group

        ≤ 5 years


        87.2 (157)

        χ2 = 11.07

        > 5 years


        73.1 (125)

        P = 0.001b

        Malaria status

        Clinical malaria


        83.3 (155)

        χ2 = 2.24



        77.0 (127)

        P = 0.09

        Pyrexia category

        Normal (Temp. ≤ 37.4°C)


        76.6 (190)

        χ2 = 7.98

        Mild pyrexia (Temp. 37.5 - 38.9°C)


        88.5 (85)

        P = 0.02a

        Hyper pyrexia (Temp ≥ 39°C)


        100 (7)

        Parasite density category

        Parasite /μl of blood ≤ 5000


        79.6 (246)

        χ2 = 0.87

        Parasite /μl of blood > 5000


        85.6 (36)

        P = 0.35




        86.7 (91)

        χ2 = 3.8



        77.6 (191)

        P = 0.05

        Spleen size



        92.0 (81)

        χ2 = 10.19



        76.4 (201)

        P = 0.001b

        History of fever

        ≥ 2 days


        90.9 (60)

        χ2 = 5.75

        < 2 days


        77.6 (59)

        P = 0.06

        No fever


        78.0 (163)

        Helminth status



        83.7 (164)

        χ2 = 0.26



        80.6 (125)

        P = 0.61

        Nutritional status



        82.9 (68)

        χ2 = 0.45




        79.6 (214)

        P = 0.50

        a significant at P < 0.05 level, b significant at P < 0.01 level.

        Prevalence of anaemia and clinical malaria posts treatment

        Out of the 186 children with clinical malaria who were treated with Artesunate –Amodiaquine, 138 children gave their assent/consent to the follow up investigation regime and 117 were successfully followed for 42 days. The prevalence of malaria parasitaemia, clinical malaria and anaemia showed a decline following treatment and the highest decline was observed on D28 (4.3%), D28 (1.7%) and D21 (33.3%) respectively (Figure 1). Children who were malaria parasite positive showed a higher prevalence of anaemia on D14 (69.2%) and D42 (78.6%) than those negative (D14 = 37.9%, D42 = 30.2%) post treatment (Figure 2). This difference in prevalence was statistically significant (D14; χ2 = 4.7, P = 0.03 and D42; χ2 = 20.2, P < 0.001). Although not significant the prevalence of anaemia was higher in malaria parasite negative children (34.3%) than their positive counterparts (26.7%) on D21 (Figure 2).
        Figure 1

        Prevalence of malaria parasitaemia, clinical malaria and anaemia during follow up.

        Figure 2

        Proportion of children with anaemia during follow up.

        Persistent anaemia and haematological recovery

        Persistent anaemia (Hb concentration that remained below 11 g/dl for the duration of the follow-up) was prevalent in 6% (7/117) of the children. The prevalence of persistent anaemia in the different sexes were comparable (P > 0.05) even though male children were 0.9times (95% CI: 0.19 – 4.12) more likely to have persistent anaemia than females. Although not significant (P > 0.05), the prevalence of persistent anaemia was higher in children ≤ 5 years (7.0%) than those > 5 years (1.9%) old.

        On D42 post treatment, 46.2% (54/117) of the children (40.7% females and 59.3% males) achieved haematological recovery. Male children were 0.7times (95% CI: 0.4 – 1.4) likely to achieve haematological recovery than their female counterpart. Haematological recovery was comparable (P > 0.05) in children ≤ 5 (39.5%) and those above 5 years (38.5%) of age.

        Identification of risk factors of anaemia

        The exploratory MLR was run using the z scores of the variables and the tolerance statistics were all below 1. All the Variance Inflation Factors (VIF) were < 2. The lower values of the condition index (1.084 - 4.478) confirm that the collinearity diagnostic was successful.

        Host and parasite factors associated with haemoglobin concentration

        Two biological sub exploratory MLR models were run to examine host and parasite factors associated with Hb concentration. The first sub model examined host and parasite factors associated with haemoglobin concentration while the other examined in addition iron status indicators as risk factors for anaemia. In the first sub model, WBC count (P = 0.001), parasitaemia density (P = 0.002) and length of fever in days (P = 0.001) were significantly (P < 0.01) associated with Hb concentration. Furthermore a significant negative correlation of Hb concentration with parasitaemia density, length of fever in days and WBC count was observed (Table 3). In the second sub exploratory MLR model (R2 = 0.43, adjusted R2 = 0.37) which included iron indices, the variables with significant influence on the Hb concentration were spleen size (β = 0.17, P = 0.02), sex of the child (β = 0.13, P = 0.03), transferrin (β = 0.0.18, P = 0.01) and ferritin (β = 0.38, P = 0.0001) concentrations.
        Table 3

        Multilinear regression model showing some host and parasite factors associated with anaemia


        β value

        P value




















        Parasitaemia density








        Length of fever (days)




        R square


        Adjusted R square


        b Significant at P < 0.01 level, c significant at P < 0.001 level.

        Socio-economic factors associated with haemoglobin concentration

        In the socio economic exploratory MLR model (R2 = 0.06 and adjusted R2 = 0.01) only the level of education of the guardian/caregiver was identified as a risk factor (P = 0. 04) for anaemia. Children whose caregivers were illiterate had a higher prevalence of anaemia (90%) when compared with those whose caregivers had basic education (77. 8%).

        Factors associated with management and prevention of malaria

        The caretaker management ability of malaria (when a caretaker decides to take the child to a health facility) was the only factor significantly (P = 0.005) associated with the Hb concentration in this model (R2 = 0.05, adjusted R2 = 0.03). Anaemia was more prevalent in those who used other traditional methods of management of malaria (90.2%) than in those who were taken to the hospital as soon as they took ill (73.0%) or those who went to a health facility only after other treatment(s) failed (81.1%).

        Integrated values mapping (IVM) to identify predictors of haemoglobin concentration

        Given the poor predictive power and sensitivity of the socio-economic, management and prevention of malaria model, the IVM model incorporated only the biological and some aspects of the malaria prevention model. Based on the IVM model splenomegaly (P < 0.05), wasting (P < 0.05), sex (P < 0.05), transferrin (P < 0.01) and ferritin (P < 0.001) concentrations, were significantly associated with haemoglobin concentration in children with falciparum infection (Table 4).
        Table 4

        An integrated model identifying factors associated with anaemia


        β value

        P value




        Use of bednets




        Caretaker management of malaria




        Egg per gram of feaces












        WBC × 10 9/L




        Length of fever (days)




        Parasitaemia density




        Transferrin /mg/dl)




        Ferritin /ng/ml)




        Iron (ug/dl)












        WAZ (under weight)




        HAZ (stunting)




        WHZ (wasting)












        R square


        Adjusted R square


        a significant at P< 0.05 level, b Significant at P < 0.01 level, c significant atP < 0.001 level.

        Perception of anaemia by caregivers of the children

        Approximately 75.5% (265) of the caregivers had some knowledge about anaemia and the majority (91.3%) of them were cognisant of pallor as the only symptom of anaemia. If and when a respondent discovered the child was anaemic, only 36.1% of them were likely to consult a physician while the rest did self medication. While 16.5% of the caregivers will self medicate with any available iron tablet, 83.5% of them used herbal remedies. About 63.9% of the respondents were aware of iron containing foods of which vegetables (57.3%) and plantains (25.9%) were the foods of choice. A diet recall in the previous seven days showed fish, plantain, huckleberry and red pepper to be frequently consumed foods.


        Anaemia is a major public health problem in Cameroon. In addition to measuring the haemoglobin concentration which is the most reliable indicator of anaemia at the population level [6], the causes of anaemia need to be identified as they may vary according to the population. The high prevalence of anaemia (80.3%) observed in the study population is comparable to the 82% obtained by Jourdan et al. [24] in children attending a clinic in Northern Cameroon and the > 70% obtained by Desai et al. [13] in pre -school children in Kenya. This is not unexpected in a semi rural community where malaria is hyperendemic [17] and majority of the household heads are farmers with no steady source of income [16]. Furthermore Mogensen et al. [22] reported 30%–90% of children to be anaemic at any time in malaria endemic areas of sub-Saharan Africa.

        Following treatment more than half of the children (63/117) never achieved haematological recovery. In line with Obonyo et al. [18] haematological recovery in the children was associated with the clearance of parasitaemia. While the occurrence of clinical malaria after day 28 prevented haematological recovery in some of the children, the presence of persistent anaemia in children who were clinically and parasitologically cured suggests factors other than malaria may be involved in the pathogenesis of anaemia in the population.

        While our findings showed a significant negative correlation (P < 0.01) between haemoglobin level and parasite density, others [7, 25] failed in finding such a correlation, even though they identified malaria as a risk factor for anaemia. Kahigwa et al. [26] reported P. falciparum parasitaemia to be the single most important factor associated with anaemia. Hyperparasitaemia has been considered as one of the possible manifestations of severe and complicated malaria, depending on the endemic area [27]. Anaemia in acute falciparum malaria is caused by increased destruction of both infected and non-infected erythrocytes and decreased erythropoiesis. However, we observed that even the very low density infections were associated with moderate anaemia in the children.

        In addition to the density of parasitaemia, hypersplenism is also thought to contribute to the early anaemia of acute malaria through sequestering red blood cells in the spleen [28]. Our studies confirm this finding since a significant difference in the prevalence of anaemia was observed in children with enlarged spleens (92.0%) when compared with those having normal spleen sizes (76.4%). Children with a palpable spleen were 4.04 (95% CI: 1.79 – 9.08) times at risk of presenting with anaemia than those with normal spleens. The spleen is a key site for removal of parasitized red blood cells, generation of immunity and production of new red blood cells during malaria [29].

        Protracted infections with malaria parasite are associated with clinically significant RBC destruction [12]. Children with length of fever ≥ 3 days were significantly at risk of developing anaemia. Contrary to Ong’echa et al. [30] and Grenfell et al. [31] who reported fever not to be associated with haemoglobin concentration, our findings revealed a significant negative correlation (r = − 0.18, P < 0.01) between haemoglobin concentration and temperature and a direct relationship between temperature and parasitaemia with the fever rate decreasing with increased age. The observed negative association between temperature and haemoglobin may be due to certain immunologic responses such as the secretion of high levels of tumour necrosis factor-α (TNF-α), a potent pyrogen. Chronic low grade production of TNF- α, in response to P. falciparum parasitaemia may induce dyserythropoiesis thus contributing to the pathogenesis of malarial anaemia [32]. However, a timely evaluation of all febrile illness, case-recognition and use of appropriate antimalarial therapy are indispensable to malaria and anaemia control in order to optimize clinical outcomes [17].

        We found a significant inverse association between WBC count and haemoglobin concentration. Studies by Ladhani et al. [33] associated a high WBC count with severe anaemia. While normal total WBC count has been associated with malaria infection [34], leucopoenia appears to be a common finding in both non-immune patients with falciparum malaria and semi-immune children living in malaria-endemic regions, where WBC may be as low as 1-2×109/L [3]. In view of the fact that our study included children with different degrees of malaria with a WBC count ranging from 2.2 – 33.5 ×109/L, it may be possible that some of these children had concurrent bacterial infections which were not clinically apparent and were beyond the scope of this study. Nonetheless bacteraemia most commonly due to nontyphoid salmonella, has been strongly associated with severe anaemia [35, 36].

        Although no significant difference was observed in the prevalence of anaemia between the different sexes, anaemia was higher in males than in females. Males were 0.84 (95% CI: 0.59 – 1.20) times more likely to be anaemic than females. Similar observations were made in Kenya [30, 37], Tanzania [38] and Ghana [39]. This may be attributed to the fact that males were significantly more malnourished than females. Also male children were 1.4 times (95% CI: 0.85 -2.1) at risk of carrying gametocytes than their female counterpart. The higher gametocyte carriage observed in males (32.8%) when compared with females (26.5%) may have exacerbated a decrease in the haemoglobin concentration. Even though the MLR model did not significantly identify gametocyte carriage as a risk factor of anaemia, the prevalence of anaemia was higher in children who were gametocyte positive than those negative.

        Ferritin and transferrin were significantly associated with haemoglobin concentration in the IVM model. Further observations highlighted a significant difference in the prevalence of anaemia between children with abnormal (96.6%; 92.5%) and normal (59.8%; 70.3%) ferritin and transferrin values respectively. Stoltzfus et al. [38] reported the strongest relationship of serum ferritin and haemoglobin to occur in children who were malaria free and < 30 months of age. The usefulness of transferrin in monitoring infections has been controversial and the behaviour of ferritin as an acute phase reactant may obscure the relationship of haemoglobin to iron stores. However, a large proportion of anaemia in this population could not be explained by iron deficiency.

        Our study revealed the level of education of the caregiver to be a significant determinant of haemoglobin concentration in children with falciparum malaria in this semi rural setting of the mount Cameroon region. Furthermore a negative trend (r = − 0.16) in the relationship between haemoglobin concentration and education level was observed. Children whose caregivers were illiterate showed a high prevalence of anaemia (90%), when compared with those whose caregivers had basic education (77.8%). Correlation between education level and anaemia has also been reported by Kahigwa et al. [26] in Tanzania, Ong’echa et al. [30] in Western Kenya and Al-Mekhlafi et al. [40] in Malaysia. This may be linked to their having knowledge about anaemia and iron containing foods as our findings showed a significant difference in the knowledge of anaemia between those with basic education (> 76.5%) and those illiterate (20.0%).

        The significant association of the caretaker management ability of malaria and haemoglobin concentration may be linked to the effect of protracted febrile infection with the malaria parasite on the red blood cells. Pre-hospital antimalarial treatment of febrile children by caregivers/parents with mostly traditional herbs or drugs of questionable quality remains a significant common practice among individuals in the population as revealed by the questionnaire survey. Lack of proper education and poverty may be contributing factors to these attitudes and practices. In a previous related study [17], early treatment with effective antimalarial was demonstrated to decrease the morbidity and mortality due to malaria.

        Wasting a manifestation of acute malnutrition [41] was significantly associated with the haemoglobin concentration as indicated by the IVM model. Although the prevalence of wasting (2.6%) in the children with falciparum malaria was low, 8 out of the 9 children (88.9%) were anaemic. Correlation between haemoglobin and nutritional status has also been reported by Nabakwe & Ngare [42]. Ehrhardt et al. [43] reported malnutrition to be a fundamental factor contributing to malaria-associated morbidity and anaemia, even if the latter exhibits multifactorial patterns. The high prevalence of anaemia coupled with the presence of malnutrition may have contributed to impaired growth in the children as weight significantly positively correlated with haemoglobin levels (r = 0.11, P = 0.03). Nutritional inadequacies causing stunting and underweight may also impair host immunity, further exacerbating the effects of malaria [41, 44]. However, improving the nutritional status of the children may lessen the morbidity due to falciparum malaria.

        Even though the majority of caregivers were aware of pallor as a symptom of anaemia, none could detect whether the child was anaemic before assessment of haemoglobin concentration. The efficiency and applicability of pallor examination in the detection of anaemia is important in clinical circumstances [22]. Signs of pallor may be used as a tool to detect moderate (or severe) anaemia with sensitivities and specificities around 60%–86% [45]. The inability of caregivers to diagnose the paleness of the conjunctiva and palms which were apparent in those with severe anaemia (12.1%), confirms earlier findings [22] that assessment of pallor depends on training.


        In addition to malaria, enlarged spleen, duration of fever > 2 days, high white blood cell count, sex, iron status indicators (ferritin and transferrin), level of education of the caregiver, management of onset of malaria by caregiver and wasting are important contributors to the pathogenesis of anaemia in the Mount Cameroon region. Improving the case management of malaria is likely to reduce the burden of anaemia hence useful health benefits. Control efforts should therefore be directed towards proper health education emphasizing on proper health seeking behaviour and attitudes of the population. In addition to malaria which is commonly considered to be a principal cause of anaemia additional diagnoses including malnutrition and helminths should be considered.


        aSignificant at P < 0.05 level, bSignificant at P < 0.01 level, csignificant at P < 0.001 level.

        Authors’ information

        IUNS: PhD and Lecturer of Parasitology, Department of Zoology and Animal Physiology.

        MS: MSc and Assistant lecturer of Biochemistry, Department of Medicine.

        TNA: PhD and Professor of Medical Parasitology, Department of Microbiology and Parasitology, Dean Faculty of Science.









        Integrated values mapping


        Multiple linear regression model


        Soil-transmitted helminths


        White blood cell







        The authors appreciate the support and cooperation of the parents and guardians of the children in the Muea community and the staff of the Muea health centre who took part in the study. We wish also to acknowledge the statistical input of Mr. Célestin Nana of Foundation of Applied Statistics and Data management. This work was supported by the staff development grant of the University of Buea.

        Authors’ Affiliations

        Department of Zoology and Animal Physiology, Faculty of Science, University of Buea
        Department of Medicine, Faculty of Health Sciences, University of Bamenda
        Department of Microbiology and Parasitology, Faculty of Science, University of Buea


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        46. Pre-publication history

          1. The pre-publication history for this paper can be accessed here:http://​www.​biomedcentral.​com/​1471-2334/​13/​123/​prepub


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