Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Maternal Malaria, Birth Size and Blood Pressure in Nigerian Newborns: Insights into the Developmental Origins of Hypertension from the Ibadan Growth Cohort

  • Omolola O. Ayoola ,

    ooayoola@yahoo.com

    Affiliations Endocrine and Cardiovascular Sciences Group, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, United Kingdom, College of Medicine, University of Ibadan, Ibadan, Nigeria

  • Isla Gemmell,

    Affiliation Endocrine and Cardiovascular Sciences Group, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, United Kingdom

  • Olayemi O. Omotade,

    Affiliation College of Medicine, University of Ibadan, Ibadan, Nigeria

  • Olusoji A. Adeyanju,

    Affiliation Department of Obstetrics and Gynecology, Adeoyo Maternity Hospital, Ibadan, Nigeria

  • J. Kennedy Cruickshank ,

    Contributed equally to this work with: J. Kennedy Cruickshank, Peter Ellis Clayton

    Affiliation Endocrine and Cardiovascular Sciences Group, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, United Kingdom

  • Peter Ellis Clayton

    Contributed equally to this work with: J. Kennedy Cruickshank, Peter Ellis Clayton

    Affiliation Endocrine and Cardiovascular Sciences Group, Manchester Academic Health Sciences Centre, University of Manchester, Manchester, United Kingdom

Maternal Malaria, Birth Size and Blood Pressure in Nigerian Newborns: Insights into the Developmental Origins of Hypertension from the Ibadan Growth Cohort

  • Omolola O. Ayoola, 
  • Isla Gemmell, 
  • Olayemi O. Omotade, 
  • Olusoji A. Adeyanju, 
  • J. Kennedy Cruickshank, 
  • Peter Ellis Clayton
PLOS
x

Abstract

Background

Hypertension is an increasing health issue in sub-Saharan Africa where malaria remains common in pregnancy. We established a birth cohort in Nigeria to evaluate the early impact of maternal malaria on newborn blood pressure (BP).

Methods

Anthropometric measurements, BP, blood films for malaria parasites and haematocrit were obtained in 436 mother-baby pairs. Women were grouped to distinguish between the timing of malaria parasitaemia as ‘No Malaria’, ‘Malaria during pregnancy only’ or ‘Malaria at delivery’, and parasite density as low (<1000 parasites/µl of blood) and high (≥1000/µl).

Results

Prevalence of maternal malaria parasitaemia was 48%, associated with younger maternal age (p<0.001), being primigravid (p = 0.022), lower haematocrit (p = 0.028). High parasite density through pregnancy had the largest effect on mean birth indices so that weight, length, head and mid-upper arm circumferences were smaller by 300 g, 1.1 cm, 0.7 cm and 0.4 cm respectively compared with ‘No malaria’ (all p0.005). In babies of mothers who had ‘malaria at delivery’, their SBPs adjusted for other confounders were lower respectively by 4.3 and 5.7 mmHg/kg compared with ‘malaria during pregnancy only’ or ‘none’. In contrast the mean newborn systolic (SBP) and diastolic BPs (DBP) adjusted for birth weight were higher by 1.7 and 1.4 mmHg/kg respectively in babies whose mothers had high compared with low parasitaemia.

Conclusions

As expected, prenatal malarial exposure had a significant impact on fetal growth rates. Malaria at delivery was associated with the lowest newborn BPs while malaria through pregnancy, which may attenuate growth of the vascular network, generated higher newborn BPs adjusted for size. These neonatal findings have potential implications for cardiovascular health in sub-Saharan Africa.

Introduction

Hypertension is now a public health and economic problem in Sub-Saharan Africa with a prevalence up to 33% in urban areas in Nigeria [1], [2]. Its well-known complications and mortality occur at a younger age than in developed countries [3], [4]. In sub-Saharan Africa, malaria is hyperendemic, particularly in pregnancy with prevalence rates from 20 to 44% in Nigerian women [5]. Most cases of malaria in pregnancy are asymptomatic because of immunity acquired during previous exposures [5], [6]. However, asymptomatic infection still has significant consequences for maternal and infant health resulting in maternal anaemia and intrauterine growth retardation (IUGR), which causes 43% of preventable low birth weight babies (LBW, birth weight <2500 g), contributing to 75,000–200,000 infant deaths each year [7][9]. In Nigeria about 12–24% of newborns are LBW as a result of IUGR [10], [11].

In numerous global studies, adult risk of hypertension and other chronic disease is associated with LBW [12], [13]. In an emerging economy, LBW babies who show catch-up growth may be at particular risk of developing such disease in midlife [14]. These observations subsequently led to the ‘developmental origins’ hypothesis.

In newborns, their blood pressure (BP) correlates with birth weight [15][17]. There may be differences in the relationship between birth weight and BP in preterm babies small (SGA) and appropriate for gestational age (AGA) in the first week of life [18]. AGA babies showed the expected positive correlation between birth weight and BP while SGA babies did not [18]. There are limited data on newborn BP in African children, in particular exploring the relationships between their BP, birth size and exposure to malaria in utero.

Therefore, we tested the hypothesis that BP at birth would be higher and birth size would be smaller in babies whose mothers had malaria in pregnancy, defined by its timing during pregnancy and/or at delivery and the magnitude of parasite density. This in turn may affect the rate of BP rise through childhood and set the scene for hypertension in later life.

Methods

Ethics Statement

Ethical approval was obtained from the joint University of Ibadan / University College Hospital Ethics committee and the University of Manchester Ethics committee. The study protocol and the rationale for the study were explained carefully in appropriate language, most commonly Yoruba or English, with questions answered as needed and written informed consent was obtained from all participants. After the delivery of their babies, another written informed consent was also obtained for the participation of their babies in the study.

Study Site

A semi-urban community, Yemetu-Adeoyo, Ibadan in Southwest Nigeria, where malaria transmission is perennial, was the site for the study. Families come from a range of socioeconomic backgrounds. The local community hospital, Adeoyo Maternity Hospital (AMH), the oldest maternity hospital in Nigeria dating from 1927, provides primary and secondary medical care with over 4000 deliveries each year.

Participants

Healthy women aged 18–45 years presenting at AMH before 36 weeks gestation and residing within the catchment area of the study centre for at least 2 years were recruited. Singleton babies born at ≥37 weeks gestation were included.

At booking, women were tested for sexually transmitted infections and HIV and those positive were excluded and those with chronic diseases such as hypertension and diabetes. Preterm deliveries, babies with known syndromes, metabolic defects, congenital abnormalities or severe birth trauma were excluded.

Women were enrolled over one year to cover both wet and dry seasons.

In the year, 3496 women booked for ante-natal care, but many were not planning their delivery at AMH so 659 women were eligible, of which 624 were recruited but 161 still did not deliver at AMH; thus the final cohort included 463 mother-baby pairs. Of these, 27 were excluded due to 4 (0.9%) maternal deaths, 11 (2.4%) still births, 5 (1.1%) miscarriages and 7 (1.5%) neonatal deaths, leaving 436 pairs. There were no significant differences in the socio-demographic and clinical data of excluded women.

Procedures: Time points and measurements

Standard operating procedures (SOPs) were developed. Informed consent, using forms translated into Yoruba, was taken at booking, then demographic, obstetric, family and health details, malarial history and use of antimalarial drugs was recorded. All women were issued with prescriptions for sulphadoxine-pyrimethamine (SP) for Intermittent Preventive Therapy (IPT) for malaria according to standard hospital practice.

Maternal Anthropometry.

Standardized measures of anthropometry and BP were taken at every antenatal visit until delivery, weight to the nearest 0.1 kg (SECA scale), height on a stadiometer to the nearest 0.1 cm, both without shoes, according to the SOP and training video.

Blood Samples.

At each visit throughout pregnancy, 2 ml of blood was obtained in EDTA tubes for haematocrit, leukocyte count and blood film for MP. For haematocrit, a capillary tube was filled to about 80% with blood, sealed with a flame and centrifuged for 5 minutes at 10,000 revolutions per minute. The haematocrit value was read with a heamatocrit reader. For the leucocyte count, anticoagulated blood at a one in 20 dilution in turk's solution was mixed for about 1 minute and placed in the counting chamber. The sample was left to settle, and the white cells were counted using a microscope (10× objective lens) in the four outer 1 mm2 areas. Total leucocyte number was calculated as 50× the number of cells counted.

Blood films were prepared, stained with 3% Giemsa at pH 7.2 and examined for malaria parasites (MP) under light microscopy. Thick smears were recorded as negative only after 200 high-power microscope fields had been scanned. In those with malaria, absolute parasite counts were determined as previously reported [19] by counting the number of parasites (np) among 200 leucocytes on the thick film as follows: Absolute parasite counts (per microlitre of blood) = (np / 200)×TLC where TLC = subject's total leucocyte count).

For quality control, 30% of negative samples and 40% of positive samples were re-examined by two different trained microscopists.

Follow-up, Delivery and Recruitment of Babies

Women were followed up until delivery based on routine ante-natal practice, determined by gestational age. Repeat MP blood films were obtained every visit and at delivery when a film was also prepared from cord blood. The placenta was weighed, turned to the maternal surface, cotyledons exposed and 1 ml of blood obtained from the intervillous space for a placental malarial blood smear. Detailed delivery information was recorded.

Newborn Anthropometry and Skinfold Measures.

Babies were weighed naked to the nearest 0.1 kg, length was measured from crown to heel on an infant stadiometer to the nearest 0.1 cm and occipito-frontal circumference (OFC) around the widest circumference of the head using a non-stretchable tape to the nearest 0.1 cm. Skinfold thicknesses (triceps, biceps, sub-scapular, and suprailiac) were measured using Holtain calipers on the left side to the nearest 0.1 mm. Measurements were obtained in duplicate or triplicate if disagreeing by >15%. All babies were examined within 72 hours of birth.

Maternal and Newborn BP.

Maternal and newborn BPs were taken according to a standard protocol and SOP. Before the BP reading, the woman was comfortably seated and relaxed with the back and arm supported, the legs uncrossed, for at least 5 minutes and not moving or speaking. Her upper arm was supported at the level of the heart with no tight clothing constricting the arm. The measurement was carried out on the left arm with validated Datascope BP monitor using appropriate-sized cuffs (i.e. the bladder length and width of the cuff supplied were ≥80% and 40%, respectively, of the arm circumference).

Before performing the BP reading, the baby was comfortably lying on the mother's lap for at least 5 minutes, and many times they were asleep. The measurement was again done with the Datascope BP monitor, specifically validated for infants, using appropriate newborn cuffs on the left arm. Babies were measured within 72 hours of life. In both mother and child, measurements were repeated three times at least one minute apart and the mean of the last two readings used for analysis.

Validity of Anthropometric and BP Measurements.

Three nurses trained in anthropometry and BP methods, based on the WHO manual (1995) and SOPs, carried out all measurements throughout the study on the same equipment. Inter-observer and within-observer error were minimized through 3-monthly refresher training sessions.

Definitions

Anaemia was defined as packed cell volume (PCV)<30%.

Malaria was defined as asexual blood stages of Plasmodium falciparum in peripheral blood or placenta of the pregnant women or cord blood at delivery. All visits during pregnancy and at delivery were taken into account.

For this study, women were first grouped into 2 categories:

  1. ‘No Malaria’ - no parasites detected throughout pregnancy or at delivery (n = 225).
  2. ‘Malaria present’ - parasites present at least once during pregnancy and/or at delivery (n = 211).

Women with malaria were then stratified to distinguish between the timing of malaria through all visits in pregnancy and at delivery:

  1. ‘Malaria during pregnancy only’ - presence of malaria parasites at least once during pregnancy but not at delivery (n = 138).
  2. ‘Malaria at delivery’ - mothers with parasites present in the placenta and/or their peripheral blood sample at delivery and/or in the cord blood (n = 73).

To examine effects of parasite load during pregnancy and at delivery, parasite density was classified into low (<1000 parasites/µl), or high (≥1000/µl) based on the highest density recorded at any time point'.

Statistical Analysis

Data were analysed using SPSS version 14 (SPSS Inc, Chicago, IL). Socioeconomic index scores were based on occupations and educational attainment of both parents on scales I to V, as previously [20]. Means of the four scores to the nearest whole number were assigned. Associations between categorical variables and malaria status were assessed using Chi-square tests and Odds Ratios. Differences in infant growth characteristics and blood pressure at birth were assessed using t-tests and ANOVA. Based on the results from the t-tests and ANOVA, multiple regression methods were used to determine which factors were independent predictors of birth weight, length, SBP and DBP. Malaria timing and parasite density were entered into the regression model as categorical variables with dummy variables. Based on the results from the univariate analyses, we have used parasite density in the regressions for birth weight and length and we have used malaria timing in the regressions for newborn SBP and DBP. Two-sided P values<0.05 were considered significant.

Results

Clinical characteristics of mothers and malaria status

All women recruited had at least 2 antenatal clinic attendances, 94% attended 3 times, 80% four times and 63% five times before delivery. The median (range) durations of the pregnancy at booking and at delivery were 28 (12–36) and 39 (37–42) weeks respectively with 28% of women being primigravida.

Parasitaemia was present at least once in pregnancy and/or delivery in 211 of the 436 recruited mothers (total 48%, with 30% having low parasitaemia and 18% high parasitaemia). Classified by timing, 138 (31%) had malaria parasitaemia at some time during pregnancy only and 73 (17%) at delivery.

56% of those with parasitaemia were primigravid, so malaria and first pregnancy were significantly associated (X2 = 5.276, p = 0.022) and associated with nearly a 3-fold increase in risk of having malaria (OR = 2.5, 95% CI, 1.5–4.2).

About half of the women reported the use of preventive measure such as chemoprophylaxis / insecticide spray or coil / bed nets / netted windows but these were not associated with protection from malaria (p>0.05). Social class and maternal malaria parasitaemia were also not associated (X2 = 1.557, p = 0.212).

Most women were asymptomatic. A complaint of fever in the week preceding recruitment and at every visit until delivery was reported in 9 women and fever recorded in only 6 women. Women with malaria had lower gravidity (p = 0.005), they were younger (27.7 vs 29.4 years, p = 0.001) and more likely to be anaemic than those without parasitaemia (Table 1). Malaria parasitaemia and anaemia was found in 19% of all women, but anaemia was present in 32%. Mean (SD) PCV was 32.2 (2.9)% in women without malaria, 31.9 (3.4)% in those with low parasitaemia and 30.7(3.6)% in those with high parasitaemia (p = 0.003).

thumbnail
Table 1. Clinical Characteristics of Mothers at recruitment by Malarial Status.

https://doi.org/10.1371/journal.pone.0024548.t001

There were no differences in other clinical characteristics such as pregnancy duration at booking, weight, height, body temperature, SBP and DBP in women with and those without malaria (Table 1).

Clinical characteristics of babies and malarial status: parasite density compared with timing

Growth variables.

Anthropometric variables and skinfolds of infants born to women with malaria parasitaemia were globally lighter than those of women without (Table 2 and 3a).

thumbnail
Table 2. Associations between maternal malarial status, newborn growth characteristics and newborn blood pressure at birth.

https://doi.org/10.1371/journal.pone.0024548.t002

thumbnail
Table 3. Associations between growth characteristics and blood pressure at birth defined by Parasite density and Timing of Malaria.

https://doi.org/10.1371/journal.pone.0024548.t003

Based on parasite density, birth weight, length, OFC, and MUAC of newborns born to women with high parasitaemia were smaller by 300 (95% CI 100–400)gm, 1.1 (0.5–1.6)cm, 0.7 (0.3–1)cm and 0.4 (0.2–0.6)cm respectively compared with those without parasitaemia (Table 3a). Skinfold thicknesses (biceps, triceps and subscapular) were also smaller than those whose mothers had low parasitaemia (Table 3a and 4a).

thumbnail
Table 4. Associations between growth characteristics and blood pressure at birth defined by Parasite density and Timing of Malaria.

https://doi.org/10.1371/journal.pone.0024548.t004

Analysis by malaria timing showed that parasitaemia at delivery had no additional impact on anthropometric variables compared to parasitaemia during pregnancy only (Table 3b).

Regression analyses testing effects on growth parameters showed that birth length, gestational age at birth and maternal weight were each independently associated with birth weight, while high parasite density was inversely related (Table 5). Only birth weight was independently related to birth length with no effect of malarial status (Table 5).

thumbnail
Table 5. Multiple regression analyses for determinants of birth size including maternal malaria parasite density.

https://doi.org/10.1371/journal.pone.0024548.t005

Impact of maternal malaria parasitaemia on Newborn BP.

Babies whose mothers had no parasitaemia had higher mean SBP (p = 0.02) and DBP (p = 0.049) than those with parasitaemia (Table 2). This effect can be attributed to malaria timing: babies whose mothers had parasitaemia at delivery had SBP lower by 4.3 (0.6–8.0)mmHg/kg than those of women with parasitaemia in pregnancy only, and 5.7 (0.8–8.9)mmHg/kg lower than those without parasitaemia (Table 4b).

In contrast when evaluating the effect of parasite density through pregnancy (Table 4a), mean SBP and DBP were not different. However newborn BP is size dependent and when adjusted for weight SBP and DBP were higher by 1.7 (0.2, 3.3)mmHg/kg, p = 0.024 and 1.4 (0.4, 2.3)mmHg/kg, p = 0.006 respectively in babies whose mothers had high parasitaemia compared to those with low (Table 6).

thumbnail
Table 6. Association between maternal malaria parasite load and newborn SBP and DBP adjusted for birth weight and length.

https://doi.org/10.1371/journal.pone.0024548.t006

In regression analyses, newborn SBP was independently associated with birth weight and gestational age and inversely associated with birth length and maternal height. Malaria parasitaemia timing, specifically at delivery was also a determinant of infant SBP (Table 7). Maternal age, weight and DBP were not. Newborn DBP at birth was positively associated with birth weight, gestational age and inversely with parasitaemia at delivery (Table 7).

thumbnail
Table 7. Multiple regression analyses for determinants of newborn SBP and DBP at birth including maternal malaria timing.

https://doi.org/10.1371/journal.pone.0024548.t007

Discussion

General features of malaria

This study illustrates the continuing impact of malaria in otherwise healthy pregnant Nigerian women, almost half of whom (48%) were affected. The rates confirm recent reports in pregnant Nigerian women [5], [21] and are also in agreement with findings from Malawi, Gabon and Ghana, but lower than in Western Kenya [22][25]. The latter areas have similar endemic rates to that in Nigeria. Most of our study cohort was asymptomatic, in line with previous findings that malaria in pregnancy in Africa rarely results in fever or any symptoms and therefore remains mostly undetected and untreated [8].

For those women reporting the use of preventive measures against malaria, including the 53% who said they used chemoprophylactic drugs, there was no difference in malaria parasitaemia frequency. Previous findings have shown that netted windows, insecticide sprays, mosquito repellent and insecticide-treated nets were effective in protecting against malaria [26], [27]. In Nigeria, there is low use of SP for IPT as recommended for prevention of malaria in pregnancy; this is due to cost, as was the case in this study. When used appropriately, IPT with SP is effective in preventing malaria in pregnancy [28]. In Mali, there was a reduction in the incidence of LBW among neonates born to women who used IPT with SP compared to other anti-malarial drugs [29].

In the suburban women in this study, malaria parasitaemia was not associated with social class, similar to a Kenyan report [24] but contrasting with those from Burkina Faso and India, with a higher incidence in low-income groups in rural areas [30], [31]. Primigravid women were more affected by malaria, as described [32], likely related to protective anti-adhesion antibodies against chondroitin sulphate A-binding parasites developing only over successive pregnancies [33].

In this study, diagnosis of malaria was based on microscopy of peripheral, placental and cord blood samples. Malaria in pregnancy still presents diagnostic challenges and has relied mainly on microscopy in studies in sub-Saharan Africa. Microscopy, though valuable, requires well-trained and skilled staff [34]. It can be used for speciation and quantification of parasites as done in this study, as well as assessing response to treatment. Histological examination, although reported to be more sensitive than microscopy on placental blood samples [35], was not available for this study. Placental blood, in addition to peripheral blood smears, were used to ensure that placental malarial infections were detected when peripheral parasitaemia may be negative [36]. Therefore we included all these sites in our definition of malaria in pregnancy and delivery.

Birth outcomes

Babies of mothers with parasitaemia were globally smaller, most marked among babies of mothers with high parasite density during pregnancy. Similarly, mean birth weights in Burkina Faso, Tanzania, Mali and Pakistan for babies born to mothers with malaria in pregnancy were lower by 105 gm [37], 371 gm [38], 382 gm [32] and 461 gm [39] than those without malaria. Other anthropometry was not reported in these studies.

Birth weight is the single most important determinant of neonatal and infant survival and health, and malaria reduced all growth parameters, [40] probably related to chronic placental infection and insufficiency [40], [41].

Effects on newborn BP

Some of the mechanisms linking small birth size and adult hypertension are poor maternal nutrition and maternal iron deficiency anaemia, which reduces vascular elasticity [42], [43]. In mothers with reduced skinfold thicknesses and lower haemoglobin concentrations, their children's SBP at the age of 10–12 years increased by 2.6 mmHg for each 1 g/dl decline in the mother's haemoglobin [42]. This confirms findings in experimental studies, where maternal iron restriction in the rat reduced birth weight and led to elevated BP at 40 days of age [44]. In this study anaemia at 32% is lower than previously reported in more rural Southern Nigeria but higher than rates from the nearby tertiary University College Hospital, Ibadan, with better obstetric facilities and managing patients in higher social classes [45], [46]. As elsewhere, anaemia is significantly associated with parasitaemia in primigravid women [5], [47]. These findings support the theory that maternal anaemia, an important consequence of malaria in pregnancy, could be linked to the genesis of raised BP in children. In contrast to other settings [48], maternal age was not associated with newborn BP, which is generally related to birth weight [49], [50].

In this cohort we found that babies whose mothers had malaria parasitaemia at delivery had lower SBP and DBP (Table 4). This observation could be accounted for in part by findings of lower mean BP in LBW babies and higher mean BP in those with higher birth weight [51], but this may also be related to the acute haemodynamic effects occurring in placental parasitaemia which may lead to lower newborn BP.

Overall, malarial load through pregnancy had the greatest impact on birth size (Table 3). Thus those babies who were exposed to high parasite loads through pregnancy were the smallest, and rather than having lower BP, both SBP and DBP corrected for weight were higher than in those exposed to a low parasite load (Table 6). This is in keeping with a developmental origins hypothesis linking placental insufficiency, IUGR and later hypertension. On-going follow-up will reveal whether small babies, having been exposed to intra-uterine malaria, who then show early catch-up growth, will have higher blood pressure. As far as we are aware, this is the first study to follow such a cohort, and the recognition of raised BP in early childhood could have important implications to health in Africa.

This leads to the question of how these two contrasting observations on BP related to timing and parasite density are mediated. Our hypothesis is that in these LBW babies, placental parasitaemia is associated with significant inflammation in the placental and infant arterial tree leading to more acute placental changes and significant infant vascular dilatation as an initial protective mechanism and hence lower BP at birth in those with parasitaemia at delivery. In contrast, parasitaemia during pregnancy leads to general growth restriction and smaller birth size and relatively higher BP for size. The more limited vascular tree of lighter infants may not be able to meet end-organ oxygen and nutritional demand without reactive peripheral vasoconstriction and higher BPs over time. Marginally but progressive higher BPs in infancy and early childhood may result, leading to a higher risk of hypertension in later life. Recurrent post-natal malaria will intermittently alter peripheral blood flow, but again at the expense of optimal supply to particular organs, hence restricting growth. The balance between the overall size of the fetus' vascular tree, how well particular organs grow during pregnancy, notably the renal glomeruli with their afferent and efferent arterioles, and continuing environmental hazards (e.g. infections, limited food supply and food quality) or opportunities (e.g. plentiful physical activity) will determine vascular performance, now measurable by pulse wave velocity [52].

Conclusions

There is a high incidence of malaria and anaemia in this apparently healthy cohort of pregnant women, particularly the younger mothers and primigravids. Malaria in pregnancy adversely affects birth size, with high parasite density during pregnancy having the greatest impact on all growth parameters and being associated with higher BP corrected for weight. Follow-up studies to extend these observations into early childhood and to provide a better understanding of the influence of maternal malaria on BP in this cohort are underway.

Acknowledgments

We wish to thank the research study staff who carried out the field work and the Adeoyo Maternity Hospital staff for their support. We also extend thanks to all the pregnant women, their husbands and their babies for their participation in the study.

Author Contributions

Conceived and designed the experiments: OOA OOO JKC PEC. Performed the experiments: OOA OOO OAA. Analyzed the data: OOA IG JKC PEC. Contributed reagents/materials/analysis tools: OOA IG OOO OAA JKC PEC. Wrote the paper: OOA IG OOO OAA JKC PEC.

References

  1. 1. Adedoyin RA, Mbada CE, Balogun MO, Martins T, Adebayo RA, et al. (2008) Prevalence and pattern of hypertension in a semiurban community in Nigeria. Eur J Cardiovasc Prev Rehabil 15: 683–687.
  2. 2. Olatunbosun ST, Kaufman JS, Cooper RS, Bella AF (2000) Hypertension in a black population: prevalence and biosocial determinants of high blood pressure in a group of urban Nigerians. J Hum Hypertens 14: 249–257.
  3. 3. Komolafe MA, Ogunlade O, Komolafe EO (2007) Stroke mortality in a teaching hospital in South Western Nigeria. Trop Doct 37: 186–188.
  4. 4. Ukoh VA (2007) Admission of hypertensive patients at the University of Benin Teaching Hospital, Nigeria. East Afr Med J 84: 329–335.
  5. 5. Anorlu RI, Odum CU, Essien EE (2001) Asymptomatic malaria parasitaemia in pregnant women at booking in a primary health care facility in a periurban community in Lagos, Nigeria. Afr J Med Med Sci 30: Suppl39–41.
  6. 6. Staalsoe T, Shulman CE, Bulmer JN, Kawuondo K, Marsh K, et al. (2004) Variant surface antigen-specific IgG and protection against clinical consequences of pregnancy-associated Plasmodium falciparum malaria. Lancet 363: 283–289.
  7. 7. Cot M, Deloron P (2003) [Malaria during pregnancy: consequences and interventional perspectives]. Med Trop (Mars ) 63: 369–380.
  8. 8. Desai M, ter Kuile FO, Nosten F, McGready R, Asamoa K, et al. (2007) Epidemiology and burden of malaria in pregnancy. Lancet Infect Dis 7: 93–104.
  9. 9. Guyatt HL, Snow RW (2004) Impact of malaria during pregnancy on low birth weight in sub-Saharan Africa. Clin Microbiol Rev 17: 760–9, table.
  10. 10. Ezeaka VC, Egri-Okwaji MT, Renner JK, Grange AO (2003) Anthropometric measurements in the detection of low birth weight infants in Lagos. Niger Postgrad Med J 10: 168–172.
  11. 11. Wright EA (1990) Low birthweight in the plateau region of Nigeria. East Afr Med J 67: 894–899.
  12. 12. Tian JY, Cheng Q, Song XM, Li G, Jiang GX, et al. (2006) Birth weight and risk of type 2 diabetes, abdominal obesity and hypertension among Chinese adults. Eur J Endocrinol 155: 601–607.
  13. 13. Barker DJ, Bagby SP, Hanson MA (2006) Mechanisms of disease: in utero programming in the pathogenesis of hypertension. Nat Clin Pract Nephrol 2: 700–707.
  14. 14. Bhargava SK, Sachdev HS, Fall CH, Osmond C, Lakshmy R, et al. (2004) Relation of serial changes in childhood body-mass index to impaired glucose tolerance in young adulthood. N Engl J Med 350: 865–875.
  15. 15. Hulman S, Edwards R, Chen YQ, Polansky M, Falkner B (1991) Blood pressure patterns in the first three days of life. J Perinatol 11: 231–234.
  16. 16. Zubrow AB, Hulman S, Kushner H, Falkner B (1995) Determinants of blood pressure in infants admitted to neonatal intensive care units: a prospective multicenter study. Philadelphia Neonatal Blood Pressure Study Group. J Perinatol 15: 470–479.
  17. 17. Sadoh WE, Ibhanesebhor SE (2009) Oscillometric blood pressure reference values of African full-term neonates in their first days postpartum. Cardiovasc J Afr 20: 344–347.
  18. 18. Smal JC, Uiterwaal CS, Bruinse HW, Steendijk P, van BF (2009) Inverse relationship between birth weight and blood pressure in growth-retarded but not in appropriate for gestational age infants during the first week of life. Neonatology 96: 86–92.
  19. 19. Prudhomme OW, Remich S, Ogutu B, Lucas M, Mtalib R, et al. (2006) Systematic comparison of two methods to measure parasite density from malaria blood smears. Parasitol Res 99: 500–504.
  20. 20. Oyedeji GA (1985) Socio-economic annd Cultural Background of Hospitalised Children in Ilesha. Nig J Paediatr 12: 111–117.
  21. 21. Ekejindu IM, Udigwe GO, Chijioke IR (2006) Malaria and anaemia in pregnancy in Enugu, south east Nigeria. Afr J Med Med Sci 35: 1–3.
  22. 22. Bouyou-Akotet MK, Ionete-Collard DE, Mabika-Manfoumbi M, Kendjo E, Matsiegui PB, et al. (2003) Prevalence of Plasmodium falciparum infection in pregnant women in Gabon. Malar J 2: 18.
  23. 23. Mockenhaupt FP, Bedu-Addo G, von GC, Boye R, Fricke K, et al. (2006) Detection and clinical manifestation of placental malaria in southern Ghana. Malar J 5: 119.
  24. 24. Ouma P, van Eijk AM, Hamel MJ, Parise M, Ayisi JG, et al. (2007) Malaria and anaemia among pregnant women at first antenatal clinic visit in Kisumu, western Kenya. Trop Med Int Health 12: 1515–1523.
  25. 25. Rogerson SJ, van den Broek NR, Chaluluka E, Qongwane C, Mhango CG, et al. (2000) Malaria and anemia in antenatal women in Blantyre, Malawi: a twelve-month survey. Am J Trop Med Hyg 62: 335–340.
  26. 26. Amodu OK, Olumese PE, Gbadegesin RA, Ayoola OO, Adeyemo AA (2006) The influence of individual preventive measures on the clinical severity of malaria among Nigerian children. Acta Trop 97: 370–372.
  27. 27. Wagbatsoma VA, Omoike BI (2008) Prevalence and prevention of malaria in pregnancy in Edo State, Nigeria. Afr J Reprod Health 12: 49–58.
  28. 28. Falade CO, Yusuf BO, Fadero FF, Mokuolu OA, Hamer DH, et al. (2007) Intermittent preventive treatment with sulphadoxine-pyrimethamine is effective in preventing maternal and placental malaria in Ibadan, south-western Nigeria. Malar J 6: 88.
  29. 29. Kayentao K, Kodio M, Newman RD, Maiga H, Doumtabe D, et al. (2005) Comparison of intermittent preventive treatment with chemoprophylaxis for the prevention of malaria during pregnancy in Mali. J Infect Dis 191: 109–116.
  30. 30. Baragatti M, Fournet F, Henry MC, Assi S, Ouedraogo H, et al. (2009) Social and environmental malaria risk factors in urban areas of Ouagadougou, Burkina Faso. Malar J 8: 13.
  31. 31. Srivastava HC, Kant R, Sharma SK (2007) Relationship between malaria and sociocultural aspects in villages along the river Mahi in central Gujarat. J Indian Med Assoc 105: 304–306.
  32. 32. Bouvier P, Breslow N, Doumbo O, Robert CF, Picquet M, et al. (1997) Seasonality, malaria, and impact of prophylaxis in a West African village. II. Effect on birthweight. Am J Trop Med Hyg 56: 384–389.
  33. 33. Duffy PE, Fried M (1999) Malaria during pregnancy: parasites, antibodies and chondroitin sulphate A. Biochem Soc Trans 27: 478–482.
  34. 34. World Health Organization (2010) Guidelines for the treatment of malaria. Diagnosis of Malaria. second, 10–11.
  35. 35. Rogerson SJ, Menendez C (2006) Treatment and prevention of malaria in pregnancy: opportunities and challenges. Expert Rev Anti Infect Ther 4: 687–702.
  36. 36. Cottrell G, Mary JY, Barro D, Cot M (2005) Is malarial placental infection related to peripheral infection at any time of pregnancy? Am J Trop Med Hyg 73: 1112–1118.
  37. 37. Cottrell G, Mary JY, Barro D, Cot M (2007) The importance of the period of malarial infection during pregnancy on birth weight in tropical Africa. Am J Trop Med Hyg 76: 849–854.
  38. 38. Matteelli A, Donato F, Shein A, Muchi JA, Abass AK, et al. (1996) Malarial infection and birthweight in urban Zanzibar, Tanzania. Ann Trop Med Parasitol 90: 125–134.
  39. 39. Yakoob MY, Zakaria A, Waqar SN, Zafar S, Wahla AS, et al. (2005) Does malaria during pregnancy affect the newborn? J Pak Med Assoc 55: 543–546.
  40. 40. Kalanda BF, van BS, Verhoeff FH, Brabin BJ (2005) Anthropometry of fetal growth in rural Malawi in relation to maternal malaria and HIV status. Arch Dis Child Fetal Neonatal Ed 90: F161–F165.
  41. 41. Menendez C, Ordi J, Ismail MR, Ventura PJ, Aponte JJ, et al. (2000) The impact of placental malaria on gestational age and birth weight. J Infect Dis 181: 1740–1745.
  42. 42. Godfrey KM, Forrester T, Barker DJ, Jackson AA, Landman JP, et al. (1994) Maternal nutritional status in pregnancy and blood pressure in childhood. Br J Obstet Gynaecol 101: 398–403.
  43. 43. Martyn CN, Barker DJ, Jespersen S, Greenwald S, Osmond C, et al. (1995) Growth in utero, adult blood pressure, and arterial compliance. Br Heart J 73: 116–121.
  44. 44. Lewis RM, Doherty CB, James LA, Burton GJ, Hales CN (2001) Effects of maternal iron restriction on placental vascularization in the rat. Placenta 22: 534–539.
  45. 45. Aimakhu CO, Olayemi O (2003) Maternal haematocrit and pregnancy outcome in Nigerian women. West Afr J Med 22: 18–21.
  46. 46. Oboro VO, Tabowei TO, Jemikalajah J (2002) Prevalence and risk factors for anaemia in pregnancy in South Southern Nigeria. J Obstet Gynaecol 22: 610–613.
  47. 47. Aleyamma TK, Peedicayil A, Regi A (2007) Falciparum malaria in pregnancy. Int J Gynaecol Obstet 97: 48–49.
  48. 48. Gillman MW, Rich-Edwards JW, Rifas-Shiman SL, Lieberman ES, Kleinman KP, et al. (2004) Maternal age and other predictors of newborn blood pressure. J Pediatr 144: 240–245.
  49. 49. Alves JG, Vilarim JN, Figueiroa JN (1999) Fetal influences on neonatal blood pressure. J Perinatol 19: 593–595.
  50. 50. Bansal N, Ayoola OO, Gemmell I, Vyas A, Koudsi A, et al. (2008) Effects of early growth on blood pressure of infants of British European and South Asian origin at one year of age: the Manchester children's growth and vascular health study. J Hypertens 26: 412–418.
  51. 51. Launer LJ, Hofman A, Grobbee DE (1993) Relation between birth weight and blood pressure: longitudinal study of infants and children. BMJ 307: 1451–1454.
  52. 52. Koudsi A, Oldroyd J, McElduff P, Banerjee M, Vyas A, et al. (2007) Maternal and neonatal influences on, and reproducibility of, neonatal aortic pulse wave velocity. Hypertension 49: 225–231.