What this is
- This study investigates adverse birth outcomes among pregnant women in a low malaria transmission region of Tanzania.
- It focuses on , (), fetal anemia, and preterm delivery in relation to with Sulphadoxine-Pyrimethamine (IPTp-SP).
- The findings reveal a continued high prevalence of these adverse outcomes despite reduced malaria transmission and increased IPTp-SP uptake.
Essence
- Despite low malaria prevalence, 40.6% of mothers experienced anemia, and 6.5% of infants were born with . IPTp-SP use decreased the risk of by 83%.
Key takeaways
- The prevalence of was 40.6%, indicating a significant health issue despite interventions. This high rate suggests ongoing challenges in maternal health management.
- Infants had a () prevalence of 6.5%, with maternal malaria infection increasing the risk of by 11 times. This highlights the need for continued monitoring and intervention.
- Using three or more doses of IPTp-SP was associated with an 83% reduction in risk. This underscores the importance of adhering to recommended IPTp-SP protocols even in low malaria areas.
Caveats
- The study did not assess the specific causes of , which could include nutritional deficiencies or hereditary conditions. This limits understanding of anemia's underlying factors.
- Reliance on self-reported medication adherence may underestimate actual usage of IPTp-SP and other supplements, potentially skewing the effectiveness of interventions.
- Malaria diagnosis was based on routine methods that may underestimate true prevalence, impacting the study's conclusions about malaria's role in adverse birth outcomes.
Definitions
- Low Birth Weight (LBW): Birth weight less than 2.5 kg, associated with increased risks of morbidity and mortality.
- Maternal Anemia: A condition characterized by low hemoglobin levels in pregnant women, leading to increased risks for both mother and child.
- Intermittent Preventive Treatment (IPTp-SP): A malaria prevention strategy involving the administration of Sulphadoxine-Pyrimethamine to pregnant women at scheduled intervals.
AI simplified
Background
Adverse birth outcomes such as maternal anemia, LBW, fetal anemia and preterm delivery contribute to maternal and newborn morbidity worldwide [1โ3]. In Sub-Saharan Africa (SSA) adverse birth outcomes are augmented by malaria endemicity [3]. Maternal anemia is an independent predictor of other adverse birth outcomes such as fetal anemia, preterm delivery, small for gestation age, intrauterine growth restriction and, LBW [4]. Around 800 million children and women are affected by anemia [4]. The global prevalence of anemia among women of reproductive age and pregnant women is approximately 29.4 and 38.2%, respectively. The prevalence of anemia among pregnant women is higher in Africa (44.6%) followed by Asia (39.3%). In Tanzania, the prevalence of anemia and severe anemia among women of reproductive age is 40% and 2%, respectively [4, 5]. The regions with a high prevalence of anemia also have a high prevalence of factors that contribute to anemia, such as malaria, sickle cell disease and thalassemia [6]. Other causes of anemia include worm infestation, schistosomiasis, HIV infection, inadequate bioavailable of dietary iron, folic acid and vitamin B12 [6, 7].
As a result of these, WHO recommends a package of preventive measures against worm infestations, malaria and iron deficiency [8]. At every visit to the antenatal clinic (ANC), pregnant women should receive a dose of monthly Sulphadoxine-Pyrimethamine (1500mg/75mg) for intermittent preventive treatment (IPTp-SP) starting early in the second trimester to delivery. Besides, one dose of Mebendazole (500mg) is given at every ANC visit after first trimester. Iron/folic acid supplements (60 mg (mg) of iron and 400 micrograms (ฮผg/d) of folic acid) should be taken daily from the first trimester until delivery. Pregnant women are also advised to sleep under insecticide-treated nets (ITN) and use indoor residual spray (IRS) during the whole period of pregnancy [3]. It has been reported by various studies that, anemia in pregnancy increases the risk of adverse birth outcomes to both the woman and newborn. These adverse birth outcomes include fetal anemia, LBW, preterm birth, intrauterine growth restriction and perinatal mortality [1, 9, 10]. Therefore, it was expected that, effective implementation of WHO recommendations for the prevention of malaria and anemia would reduce maternal adverse birth outcomes particularly in SSA in which the burden is significant. For instance, preterm delivery is more prevalent (85%) in Africa and Asia than in developed countries such as Europe (3.6%) [11]. In Tanzania, the incidence of preterm delivery is approximately 12% [11].
In SSA where malaria transmission is high, malaria significantly causes maternal anemia, fetal anemia, LBW and preterm delivery and contributes to the complications during pregnancy. In these regions, controlling malaria can reduce anemia by more than a quarter and 60% of severe anemia [6]. Tanzania, as one of the countries in SSA, has a high prevalence of malaria (7.3%) with some regions having substantially reduced malaria prevalence to less than 1% [12]. The reduced malaria transmission has also been associated with a reduced prevalence of LBW in Rwanda [13]. Data on the prevalence of LBW, maternal, fetal anemia and preterm delivery in areas with reduced malaria transmission in Tanzania is scarce. Information on the burden of adverse birth outcomes is important to institute the required measures for improvement of maternal and child health in these regions. Therefore, the objective of this study was to determine the prevalence of maternal anemia, LBW, fetal anemia and preterm delivery in a region with a low prevalence of malaria among pregnant women aged โฅ18 years (1.1%).
Methods
Study design and study area
The study design was a facility-based observational cross-sectional study to identify the prevalence of adverse birth outcomes such as LBW, maternal anemia, fetal anemia, and preterm delivery as well as the associated risk factors. The study was conducted at Mwananyamala referral hospital situated in Kinondoni Municipality in Dar es Salaam. The prevalence of malaria in Dar-es-Salaam has declined from 6.4% in 2002 to 1.1% in 2017. On average, about 30 pregnant women deliver at Mwananyamala hospital per day, making an average of 850 deliveries per month. The hospital has a dedicated clinic, which provides antennal care including the provision of IPTp-SP and other WHO recommended preventive methods for malaria and anemia during pregnancy.
Study population
Pregnant women admitted in labor wards to deliver during April to August 2018 were recruited and enrolled into the study. The eligibility criteria were pregnant women aged 18โyears or above and residing in the study areas for at least 6โmonths before enrolment in the study. Also, pregnant women who delivered singleton vaginally, known HIV negative as of the last visit to the ANC, were included in the study. Pregnant women with a complicated pregnancy and other co-morbidities such as pre-eclampsia, eclampsia, hemorrhages (>โ50โml blood loss), sepsis and chronic diseases were excluded from the study. Pregnant women whose ANC cards or medical forms were incomplete were excluded.
Sample size
The sample size was calculated using single population proportion formula considering 95% confidence interval (CI) and proportion of 50% (15) with 4% margin of error and 5% non-respondent rate as follows; n = Zฮฑ/2P (1-P)/ฮต2 where n is sample size, ฮต is the marginal error. Finally, 631 pregnant women admitted in labor wards before delivery were consecutively enrolled.
Data collection
A total of 790 pregnant women were screened during recruitment process using a validated screening tool. One hundred and fifty nine (159) of the screened pregnant women were excluded from the study; 4 pregnant women were HIV positive, 1 had incomplete records (incomplete antenatal clinic card), 2 had complicated pregnancy and were referred to National Hospital, and 152 hemorrhaged. Antenatal clinic cards were used to collect data on HIV status, IPTp-SP, mebendazole and iron/folic acid (FEFO) use. Participants were interviewed to verify the information about the use of FEFO, IPTp-SP, and mebendazole during pregnancy. After delivery maternal venous blood and cord blood was taken within 30 and 5โmin respectively using EDTA containing blood collection tubes for laboratory analysis. Infants were weighed within 30โmin after delivery using baby weighing scale.
The study outcomes for this study were the prevalence of adverse birth outcomes including maternal anemia, LBW, fetal anemia and preterm delivery. Sociodemographic and obstetric characteristics data were collected using a structured case record form. Socio-demographic characteristics included age, education level, marital status, attendance to ANC, use of Iron/folic acid supplements. The use of IPTp-SP, mebendazole, and insecticide-treated nets, and indoor residual spray was documented. The assessed obstetric characteristics included gravidity and gestation age. Gestation age was determined by last normal menstrual period.
Laboratory analysis of blood samples
Maternal and fetal Hb levels were determined using HemoCueยฎ Hb 201+ HemoCue AB, Angelholm, Sweden. About 5 ฮผL of blood was used for testing malaria infection using malaria Rapid diagnostic test, (mRDT), SD BIOLINE Malaria Ag P.f/pan, Standard Diagnostics, INC.
Case definitions
Case definitions of study outcomes were according to WHO definitions: Maternal Hb (anemia in pregnancy) was categorized as normal, mild, moderate and severe anemia when the Hb concentrations were โฅ 11.0 g/dL, 10.0โ10.9 g/dL, 7โ9.9 g/dl, and โค 7 g/dL, respectively. Fetal Hb was characterized as normal when โฅ12.5 g/dL or anemic when < 12.5 g/dL. Birth weight was defined as low when the baby weighed < 2.5Kg and normal when โฅ2.5Kg. Preterm delivery was considered when a pregnant woman delivered before 37 weeks of gestation [9, 15].
Data analysis
Mean and median with standard deviation were used to summarize continuous variables. A chi-square test or Fisher exact test was used to compare categorical variables, row and column percentages were used when appropriate. Univariate analysis was used to determine the factors associated with preterm delivery, LBW, maternal and fetal anemia. Variables with p < 0.2 were subjected to multivariate analysis. Crude odds ratios (OR), adjusted odds ratios (AOR) at 95% CI with p-values < 0.05 were regarded to be statistically significant. Data were analyzed using a Statistical Package for Social Sciences (SPSS) program version 20.0.
Results
Characteristics of study participants
A total of 631 pregnant women aged 18โ45 years with a mean of 26.27 ยฑ 5.42 years old participated in the study. The majority (44.1%) were aged 18โ24 years. About three quarters (75.1%) of them were married and 58.0% had attained primary education. Concerning gravidity, 38.5, 27.4, and 34.1% were primigravida, secundigravida, and multigravida, respectively. The majority (90.8%) of participants were at โฅ37 weeks of gestation and most (65.0%) of them had visited antenatal clinics at least four times during their recent pregnancies (Table 1).
Mebendazole (94.5%) and FEFO (97.1%) were used by the majority of pregnant women. The median use of IPTp-SP was three doses, while 14 (2.2%) participants did not use any dose of IPTp-SP during the current pregnancy. On the other hand, 11.1, 26.8, 39.6 and 20.3% of pregnant women used 1, 2, 3 and โฅ 4 doses of IPTp-SP, respectively. Of the 631 study participants, 4 (0.6%) were malaria positive at the time of delivery (Table 1). Among those who were malaria positive, one reported to have used a single dose of IPTp-SP and others used three doses of IPTp-SP.
| Characteristics | Number of women n (%) | Maternal anemia | OR (95% CI) | -valuep | AOR(95% CI) | -valueP | |
|---|---|---|---|---|---|---|---|
| Yesn (%) | Non (%) | ||||||
| Age groups | |||||||
| 18โ24 | 278 (44.1) | 113 (44.1) | 165 (44.0) | 1.2 (0.68โ2.10) | 0.54 | ||
| 25โ29 | 177 (28.1) | 70 (27.3) | 107 (28.5) | 1.3 (0.69โ2.26) | 0.46 | ||
| 30โ34 | 116 (18.4) | 46 (18.0) | 70 (18.7) | 1.2 (0.66โ2.34) | 0.5 | ||
| >โ34 | 60 (9.5) | 27 (10.5) | 33 (8.8) | 1 | |||
| Marital status | |||||||
| Married | 474 (75.1) | 66 (25.8) | 91 (24.3) | 0.9 (0.64โ1.33) | 0.67 | ||
| Unmarried | 157 (24.9 | 190 (74.2) | 284 (75.7) | 1 | |||
| Education level | |||||||
| No formal education | 25 (4.0) | 13 (5.1) | 12 (3.2) | 0.5 (0.16โ1.82) | 0.32 | ||
| Primary education | 366 (58.0) | 149 (58.2) | 217 (57.9) | 0.9 (0.33โ2.21) | 0.74 | ||
| Secondary education | 221 (35.0) | 87 (34.0) | 134 (35.7) | 0.9 (0.34โ2.37) | 0.83 | ||
| Tertiary education | 19 (3.0) | 7 (2.7) | 12 (3.2) | 1 | |||
| Attendance to ANC | |||||||
| <โ4 | 221 (35.0) | 93 (36.3) | 128 (34.1) | 0.9 (0.65โ1.27) | 0.57 | ||
| โฅโ4 | 410 (65.0) | 163 (63.7) | 247 (65.9) | 1 | |||
| FEFO use | |||||||
| Yes | 613 (97.1) | 6 (2.3) | 12 (3.2) | 1.4 (0.51โ3.72) | 0.53 | ||
| No | 18 (2.9) | 250 (97.7) | 363 (96.8) | 1 | |||
| Mebendazole use | |||||||
| Yes | 596 (94.5) | 20 (7.8) | 15 (4.0) | 1 | |||
| No | 35 (5.5) | 236 (92.2) | 360 (96.0) | 2.0 (1.02โ4.05) | 0.04 | 1.9 (0.95โ3.90) | 0.07 |
| Gravidity | |||||||
| Primigravida | 243 (38.5) | 99 (38.7) | 144 (38.4) | 1.2 (0.81โ1.70) | 0.4 | 1.22 (0.84โ1.78) | 0.3 |
| Secundigravida | 173 (27.4) | 61 (23.8) | 112 (29.9) | 1.5 (0.98โ2.24) | 0.06 | 1.51 (0.997โ2.30) | 0.052 |
| Multigravida | 215 (34.1) | 96 (37.5) | 119 (31.7) | 1 | |||
| Gestation age (weeks) | |||||||
| โคโ36 | 58 (9.2) | 25 (9.8) | 33 (8.8) | 1.1 (0.65โ1.94) | 0.68 | ||
| โฅโ37 | 573 (90.8) | 231 (90.2) | 342 (91.2) | 1 | |||
| Number of IPTp-SP doses | |||||||
| 0 | 14 (2.2) | 8 (3.1) | 6 (1.6) | 0.5 (0.16โ1.36) | 0.16 | 1.17 (0.36โ3.77) | 0.8 |
| 1 | 70 (11.1) | 35 (13.7) | 35 (9.3) | 0.6 (0.37โ1.03) | 0.06 | 1.72 (0.56โ5.24) | 0.34 |
| 2 | 169 (26.8) | 69 (27.0) | 100 (26.7) | 0.9 (0.62โ1.29) | 0.54 | 1.99 (0.67โ5.94) | 0.22 |
| โฅโ3 | 378 (59.9) | 144 (56.2) | 234 (62.4) | 1 | |||
| Malaria by mRDT | |||||||
| Positive | 4 (0.6) | 3 (1.2) | 1 (0.3) | 4.4 (0.46โ42.87) | 0.198 | 3.6 (0.344โ37.70) | 0.29 |
| Negative | 627 (99.4) | 253 (98.8) | 374 (99.7) | 1 | |||
| ITN use | |||||||
| Yes | 619 (98.1) | 251 (98.0) | 368 (98.1) | 1.05 (0.33โ3.34) | 0.938 | ||
| No | 12 (1.9) | 5 (2.0) | 7 (1.9) | 1 | |||
| IRS use | |||||||
| Yes | 394 (37.6) | 159 (62.1) | 235 (62.7) | 1.01 (0.74โ1.42) | 0.89 | ||
| No | 237 (62.4) | 97 (37.9) | 140 (37.3) | 1 | |||
Prevalence of maternal anemia and associated risk factors
The mean Hb concentration at delivery was 11.21 ยฑ 1.62 g/dL. The prevalence of severe, moderate and mild anemia was 1.4, 16.3, and 23%, respectively, while the overall prevalence of anemia at delivery was 40.6%. On univariate analysis, mebendazole use was associated with two times more protection against anemia compared to not using mebendazole (OR, 2.0 95% CI 1.02โ4.05, p = 0.04). After adjusting for covariates, the use of mebendazole did not affect maternal anemia (p = 0.07). The use of IPTp-SP, gravidity, gestation age at delivery, marital status, level of education, number of visits to the ANC and age of pregnant women were not associated with maternal anemia at delivery (Table 1).
Prevalence of LBW and associated risk factors
The mean birth weight among 631 babies was 3.1 ยฑ 0.46Kg. The prevalence of LBW (< 2.5Kg) was 6.5%, including 16 (2.5%) babies born preterm and 25 (4.0%) born full term. The risk of delivering LBW babies was higher among mothers at < 37 weeks of gestation than those at โฅ37 weeks of gestation (AOR, 1.12; 95% CI, 0.06โ0.25), p = < 0.01). Participants who were aged 25โ29 years had 80% reduced risk of LBW compared to those aged > 35 years (AOR, 0.20; 95%CI, 0.05โ0.84; p = 0.03). On univariate analysis, the prevalence of LBW among delivered babies was significantly higher in primigravida (9.9%) and multigravida (5.1%) than secundigravida (3.5%) mothers (p = 0.02). There was no statistical significant on the prevalence of LBW among primigravida and multigravida, (p = 0.43). On multivariate analysis, primigravida was not associated with LBW (p = 0.08). The risk of LBW was not modified by the level of maternal anemia (mild, moderate and severe anemia) among participants with low malaria prevalence (0.6%). On multivariate analysis, participants who had malaria infection had 12 times increased risk of LBW compared to those who had no malaria at delivery (AOR, 11.9; 95% CI, 1.07โ132.2; p = 0.04). Moreover, participants who used โฅ3 doses of IPTp-SP had 83% reduced risk of LBW (AOR, 0.17; 95% CI, 0.03โ0.88; p = 0.04). Marital status, level of education, age of participants, ITN, IRS and FEFO use, number of visits to the antenatal clinics were not associated with LBW (Table 2).
| Variable | LBW | OR(95% CI) | -valuep | AOR(95% CI) | -valuep | |
|---|---|---|---|---|---|---|
| Non (%) | Yesn (%) | |||||
| Age groups | ||||||
| 18โ24 | 254 (92.0) | 22 (8.0) | 0.8 (0.30โ2.0) | 0.6 | 0.25 (0.06โ1.04) | 0.06 |
| 25โ29 | 171 (95.5) | 8 (4.5) | 0.4 (0.14โ1.28) | 0.13 | 0.20 (0.05โ0.84) | 0.03 |
| 30โ34 | 110 (95.7) | 5 (4.3) | 0.4 (0.12โ1.39) | 0.15 | 0.32 (0.09โ1.19) | 0.09 |
| โฅโ35 | 55 (90.2) | 6 (9.8) | 1 | |||
| Marital status | ||||||
| Unmarried | 148 (94.3) | 9 (5.7) | 1.2 (0.56โ2.55) | 0.65 | ||
| Married | 442 (93.2) | 32 (6.8) | ||||
| Education level | ||||||
| No formal education | 24 (96.0) | 1 (4.0) | 0.8 (0.04โ12.82) | 0.84 | ||
| Primary education | 342 (93.4) | 24 (6.6) | 1.3 (0.16โ9.87) | 0.82 | ||
| Secondary education | 206 (93.2) | 15 (6.8) | 1.3 (0.16โ10.50) | 0.8 | ||
| Tertiary education | 18 (94.7) | 1 (5.3) | 1 | |||
| Attendance to ANC | ||||||
| <โ4 | 206 (91.2) | 20 (8.8) | 1.7 (0.88โ3.14) | 0.12 | 1.33 (0.62โ2.89) | 0.46 |
| โฅโ4 | 384 (94.8) | 21 (5.2) | 1 | |||
| FEFO use | ||||||
| No | 17 (94.4) | 1 (5.6) | 0.8 (0.11โ6.49) | 0.87 | ||
| Yes | 573 (93.5) | 40 (6.5) | 1 | |||
| Mebendazole use | ||||||
| No | 34 (97.1) | 1 (2.9) | 0.4 (0.06โ3.06) | 0.38 | ||
| Yes | 556 (93.3) | 40 (6.7) | 1 | |||
| Gravidity | ||||||
| Primigravida | 219 (90.1) | 24 (9.9) | 3.1 (1.22โ7.63) | 0.02 | 3.0 (0.88โ10.04) | 0.08 |
| Multigravida | 204 (94.9) | 11 (5.1) | 1.5 (0.544โ4.143) | 0.43 | 1.07 (0.30โ3.85) | 0.92 |
| Secundigravida | 167 (96.5) | 6 (3.5) | 1 | |||
| Gestation age (weeks) | ||||||
| โคโ36 | 42 (72.4) | 16 (27.6) | 8.4 (4.14โ16.88) | <โ0.01 | 1.12 (0.06โ0.25) | <โ0.01 |
| โฅโ37 | 548 (95.6) | 25 (4.4) | 1 | |||
| IPTp-SP doses taken | ||||||
| 0 | 12 (85.7) | 2 (14.3) | 1 | |||
| 1 | 64 (91.4) | 6 (8.6) | 0.56 (0.10โ3.31) | 0.51 | 0.25 (0.04โ1.56) | 0.13 |
| 2 | 155 (91.7) | 14 (8.3) | 0.54 (0.11โ2.67) | 0.45 | 0.32 (0.06โ1.74) | 0.19 |
| โฅโ3 | 359 (95.0) | 19 (5.0) | 0.32 (0.07โ1.52) | 0.15 | 0.17 (0.03โ0.88) | 0.04 |
| Malaria by MRDT | ||||||
| Positive | 3 (75) | 1 (25) | 4.5 (0.50โ48.1) | 0.17 | 11.9 (1.07โ132.2) | 0.04 |
| Negative | 587 (93.6) | 40 (6.4) | 1 | |||
| Maternal anemia | ||||||
| Non-anemia (โฅ11.0โg/dL | 349 (93.3) | 25 (6.7) | 1 | |||
| Mild anemia (10โ10.9โg/dL) | 139 (95.9) | 6 (4.1) | 0.242โ1.501 | 0.28 | 1.16 (0.11โ12.6) | 0.9 |
| Moderate anemia (7.0โ9.9โg/dL) | 94 (91.3) | 9 (8.7) | 0.603โ2.960 | 0.48 | 0.51 (0.04โ5.78) | 0.58 |
| Severe anemia (<โ7.0โg/dL) | 8 (88.9) | 1 (11.1) | 0.21โ14.510 | 0.61 | 1.01 (0.10โ9.99) | 0.995 |
| Foetal anemia | ||||||
| Yes | 34 (91.9) | 3 (8.1) | 0.78 (0.23โ2.64) | 0.68 | ||
| No | 556 (93.6) | 38 (6.4) | 1 | |||
Prevalence of preterm delivery and associated risk factors
Gestation age at delivery ranged from 28 to 45 weeks with a mean gestation age of 38.8 ยฑ 1.77 weeks. The prevalence of preterm delivery was 9.2%. Primigravida was at two times increased risk of preterm delivery compared to multigravida (AOR, 1.97; 95% CI, 1.01โ3.81; p = 0.045). The use of IRS was not associated significantly with preterm delivery (p = 0.06) on univariate analysis, after adjusting for covariates on multivariate analysis, the use of IRS was associated with preterm delivery (AOR, 0.50; 95% CI, 0.27โ0.95; p = 0.03). Participants who had severe anemia at delivery were at seven times increased risk of preterm delivery compared to non-anemia participants (AOR, 6.5; 95% CI, 1.49โ28.16; p = 0.013) (Table 3).
| Foetal Anemia | OR (95% CI) | -valuep | Preterm delivery | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Yes37 (%) | No594 (%) | Yes | No | OR (95%CI) | -valuep | AOR (95%CI) | -valuep | |||
| Variable | ||||||||||
| Age groups | ||||||||||
| 18โ24 | 12 (32.4) | 266 (44.8) | 0.5 (0.17โ1.47) | 0.21 | 31 (11.2) | 245 (88.8) | 1.4 (0.53โ3.81) | 0.49 | ||
| 25โ29 | 10 (27.0) | 167 (28.1) | 0.7 (0.22โ2.01) | 0.46 | 13 (7.3) | 166 (92.7) | 0.88 (0.30โ2.57) | 0.81 | ||
| 30โ34 | 10 (27.0) | 106 (17.8) | 1.0 (0.34โ3.19) | 0.95 | 9 (7.8) | 106 (92.2) | 0.95 (0.30โ2.97) | 0.93 | ||
| >โ34 | 5 (13.5) | 55 (9.3) | 1 | 5 (8.2) | 56 (91.8) | 1 | ||||
| Marital status | ||||||||||
| Unmarried | 6 (16.2) | 151 (25.4) | 0.6 (0.23โ1.39) | 0.21 | 11 (7.0) | 146 (93.0) | 0.68 (0.35โ1.36) | 0.28 | ||
| Married | 31 (83.8) | 443 (74.6) | 1 | 47 (9.9) | 427 (90.1) | 1 | ||||
| Education level | ||||||||||
| No formal education | 3 (8.1) | 22 (3.7) | 2.5 (0.24โ25.67) | 0.45 | 0 (0.0) | 25 (100) | 0 | 1 | ||
| Primary education | 25 (67.6) | 341 (57.4) | 1.3 (0.17โ10.29) | 0.8 | 32 (8.7) | 334 (91.3) | 0.51 (0.14โ1.85) | 0.31 | ||
| Secondary education | 8 (21.6) | 213 (35.9) | 0.7 (0.08โ5.71) | 0.72 | 23 (10.4) | 198 (89.6) | 0.62 (0.17โ2.29) | 0.47 | ||
| Tertiary education | 1 (2.7) | 18 (3.0) | 1 | 3 (15.8) | 16 (84.2) | 1 | ||||
| Attendance to ANC | ||||||||||
| <โ4 | 11 (29.7) | 210 (35.4) | 0.8 (0.38โ1.60) | 0.49 | 24 (10.6) | 202 (89.4) | 1.3 (0.75โ2.25) | 0.36 | ||
| โฅโ4 | 26 (70.3) | 384 (64.6) | 1 | 34 (8.4) | 371 (91.6) | 1 | ||||
| FEFO use | ||||||||||
| No | 3 (8.1) | 15 (2.5) | 3.4 (0.94โ12.34) | 0.06 | 0 (0.0) | 18 (100.0) | 0.0 (0.0) | 1 | ||
| Yes | 34 (91.9) | 579 (97.5) | 1 | 58 (9.5) | 555 (90.5) | 1 | ||||
| Mebendazole use | ||||||||||
| No | 2 (5.4) | 33 (5.6) | 1.0 (0.22โ4.22) | 0.97 | 3 (8.6) | 32 (91.4) | 0.92 (0.27โ3.11) | 0.9 | ||
| Yes | 35 (94.6) | 561 (94.4) | 1 | 55 (9.2) | 541 (90.8) | 1 | ||||
| Gravidity | ||||||||||
| Primigravida | 12 (32.4) | 231 (38.9) | 0.7 (0.34โ1.65) | 0.5 | 31 (12.8) | 212 (87.2) | 1.95 (1.02โ3.72) | 0.043 | 1.97 (1.01โ3.81) | 0.045 |
| Secundigravida | 11 (29.7) | 162 (27.3) | 1.0 (0.43โ2.21) | 1 | 12 (6.9) | 161 (93.1) | 0.99 (0.45โ2.18) | 0.99 | 0.95 (0.43โ2.13) | 0.91 |
| Multigravida | 14 (37.8) | 201 (33.8) | 1 | 15 (7.0) | 200 (93.0) | 1 | 1 | |||
| IPTp-SP doses taken | ||||||||||
| 0 | 0 (0.0) | 14 (2.4) | 0 | 1 | 0 (0.0) | 14 (100.0) | 0.0 (0.0) | 1 | 0.0 (0.0) | 1 |
| 1 | 6 (16.2) | 64 (10.8) | 1.7 (0.65โ4.34) | 0.29 | 11 (15.7) | 59 (84.3) | 1.89 (0.91โ3.93) | 0.09 | 1.87 (0.87โ4.02) | 0.11 |
| 2 | 11 (29.7) | 158 (26.6) | 1.2 (0.58โ2.66) | 0.57 | 13 (7.7) | 156 (92.3) | 0.84 (0.43โ1.64) | 0.62 | 0.83 (0.42โ1.63) | 0.58 |
| โฅโ3 | 20 (54.1) | 358 (60.3) | 1 | 34 (9.0) | 344 (91.0) | 1 | 1 | |||
| Malaria by MRDT | ||||||||||
| Positive | 0 (0.0) | 4 (0.7) | โ | 1 | 0 (0.0) | 4 (100.0) | 0.0 (0.0) | 1 | ||
| Negative | 37 (100.0) | 590 (99.3) | โ | 58 (9.3) | 569 (90.7) | 1 | ||||
| ITN use | ||||||||||
| Yes | 37 (100) | 582 (98.0) | 1 | 55 (8.9) | 564 (91.1) | 1 | 1 | |||
| No | 0 (0.0) | 12 (2.0) | 0.0 (0.0) | 1 | 3 (25.0) | 9 (75.0) | 3.4 (0.90โ13.0) | 0.07 | 3.31 (0.84โ13.03) | 0.09 |
| IRS use | ||||||||||
| Yes | 21 (56.8) | 373 (62.8) | 1 | 43 (10.9) | 351 (89.1) | 1 | 1 | |||
| No | 16 (43.2) | 221 (37.2) | 1.29 (0.66โ2.52) | 0.46 | 15 (6.3) | 222 (93.7) | 0.55 (0.30โ1.02) | 0.06 | 0.50 (0.27โ0.95) | 0.03 |
| Maternal anemia | ||||||||||
| Non-anemia (โฅ11.0โg/dL) | 18 (48.6) | 356 (59.9) | 1 | 3 (33.3) | 6 (66.7) | 1 | 1 | |||
| Mild anemia (10โ10.9โg/dL) | 12 (32.4) | 133 (22.4) | 1.8 (0.837โ3.805) | 0.13 | 11 (10.7) | 92 (89.3) | 0.85 (0.42โ1.73) | 0.65 | 0.78 (0.38โ1.62) | 0.5 |
| Moderate anemia (7.0โ9.9โg/dL) | 6 (16.2) | 97 (16.3) | 1.2 (0.473โ3.166) | 0.68 | 11 (7.6) | 134 (92.4) | 1.24 (0.60โ2.54) | 0.57 | 1.25 (0.59โ2.62) | 0.56 |
| Severe anemia (<โ7.0โg/dL) | 1 (2.7) | 8 (1.3) | 2.5 (0.293โ20.847) | 0.41 | 33 (8.8) | 341 (91.2) | 5.17 (1.24โ21.62) | 0.025 | 6.5 (1.49โ28.16) | 0.013 |
Prevalence of fetal anemia and associated risk factors
Out of the 631 babies, the mean fetal Hb concentration was 15.36 ยฑ 1.87 g/dL, while 37 (5.9%) had cord Hb of less than 12.5 g/dL. Gravidity, gestational age, malaria infection at delivery and the use of IPTp-SP were not associated with fetal anemia. Also, the age of participants, marital status, education level, number of visits to the antenatal clinics, use of mebendazole, IRS, ITN, and FEFO were not associated with fetal anemia. Furthermore, maternal anemia was not a risk factor for fetal anemia even after stratifying for the level of anemia as mild, moderate and severe anemia (Table 3).
Discussion
This study assessed the prevalence of maternal anemia, LBW, fetal anemia and preterm delivery among pregnant women at delivery in an area with a low prevalence of malaria using various doses of IPTp-SP. The overall prevalence of maternal anemia was 40.6%, indicating that the prevalence of maternal anemia at delivery is still high despite the reduced malaria transmission, reported increased uptake of FEFO supplements and other preventive measures for malaria during pregnancy. A high prevalence of anemia in these women could be due to several factors, including poor nutritional status, adherence to FEFO, mebendazole and IPTp-SP. Although FEFO and mebendazole were provided to almost all pregnant women, adherence could not be ascertained. Besides, there are reported frequent stock out of SP in the health facilities, and therefore pregnant women may be required to purchase SP from private pharmacies to use them at home [16, 17]. Therefore, if not given under directly observed therapy, adherence to the use of IPTp-SP as prescribed may not be guaranteed.
In this study, the 40.6% prevalence of maternal anemia is relatively lower than 50% that was reported in the study conducted in the same area in 2012 [14]. In 2012, malaria transmission in Dar es Salaam was 3.6% compared to 1.1% reported in this study. Therefore, the decline in malaria transmission may be one of the reasons for reduced maternal anemia in this area [12, 18]. Also, for the past few years, efforts have been made in Tanzania in ensuring that all the recommended preventive measures for malaria and anemia in risk groups are implemented [19].
Studies conducted in Northern and Eastern Tanzania between 2002 and 2004 reported the prevalence of maternal anemia of 47.4 and 68% prevalence respectively [9, 20]. The prevalence of malaria in these studies was respectively twice and six times higher than that in our study. Besides, the studies included HIV positive pregnant woman [9, 11]. Malaria and HIV independently cause maternal anemia, and the prevalence is higher in malaria-HIV co-infection [21]. Our study excluded HIV positive participants. Therefore, despite all interventional measures for the prevention of malaria and anemia in pregnancy, with a substantial reduction of malaria in this area, the prevalence of maternal anemia reported in our study is still very high. As reported elsewhere, reducing malaria transmission alone reduces moderate to mild anemia by about 25% and severe anemia by 60% [6]. Therefore, the prevalence of severe maternal anemia (1.4%) in our study may be a reflection of reduced malaria transmission in the study area.
The prevalence of LBW in our study was 6.5% which is still high considering the reduced prevalence of malaria among the study participants (0.6%) who were HIV negative. This is comparable to a 6.7% prevalence of LBW which was reported in a study that was conducted in the same catchment area in 2010โ2012 [14]. However, the prevalence of LBW has slightly declined compared to 14.0% when malaria was high (6.4%) in the same catchment area [9]. Our study demonstrated a significantly low prevalence of LBW among participants aged 25 to 29 years old. Although statistically was non-significant, participants aged โค24 (8.0%) and โฅ 35 (9.8%) years old had a high prevalence of LBW (Table 2). A study conducted in Spain on Sociodemographic factors associated with LBW reported a high prevalence of LBW among babies born by mothers who had โค19 years and โฅ 35 years of age [22]. Extreme maternal aged groups has been reported to contribute LBW in developed and developing countries [10, 22].
During the conduct of this study, the uptake of โฅ2 doses of IPTp-SP was estimated to be 66.6% compared to 48.3% that was reported in 2010โ2012 in Dar es Salaam [12, 18]. Therefore, the observed difference in the prevalence of LBW between the two studies could also be due to reduced malaria transmission and increased uptake of IPTp-SP in this area [23].
Despite a few malaria cases (0.6%) in our study, yet malaria infection increased the risk of LBW similar to previous reports [24, 25]. This indicates the risk of negative birth outcomes caused by malaria during pregnancy even in areas with a very low prevalence of malaria. Malaria during pregnancy affects fetal nutrient supply and blood perfusion, which cosequently affect the normal growth of the fetus and increase the risk of delivering babies with LBW [26].
WHO recommends the use of โฅ3 doses of IPTp-SP in areas with moderate to high malaria transmission [27]. Our study found that the use of โฅ3 doses of IPTp-SP is still protective against LBW despite very low malaria prevalence (0.6%) in the study participants. These findings are similar to those reported in Zambian study in which pregnant women who received โฅ3 doses of IPTp-SP had decreased risk of delivering babies with LBW [23]. The improved infants birth weights in pregnant women using IPTp-SP in areas with a very low prevalence of malaria could be due to the therapeutic effect of SP for both malaria and non-malaria infections. As previously reported, SP has parasitic and bacterial effects which are significant contributing factors for improved infantsโ birth weights born by mothers who receive IPTp-SP for the prevention of malaria [25]. Sulphadoxine is a sulphonamide that has a variable spectrum of activities against parasites and bacteria. Previously, sulphonamides were used for the treatment of Streptococcus pyogenes, Streptococcus pneumonia, Chlamydia trachomatis, Haemophilus influenzae, Gardnerella vaginalis and N. gonorrhea [25, 28]. Despite the weak antibacterial activity of sulphadoxine, frequent exposure of these microbes to the later as described by increased monthly uptake of a therapeutic dose of SP (from 2nd trimester to delivery) could reduce the microbial density and possible immunological reactions responsible for adverse birth outcomes [24, 25, 29].
In this study, the prevalence of preterm delivery was 9.2% which is comparable to 6.4% reported by Kamala et al. [10] in the same study area in 2018. Preterm delivery was associated with primigravidity, which has also been reported elsewhere [30]. Also, our study demonstrated an increased risk of preterm delivery among severely anemic mothers compared to non-anemic ones. These findings are similar to those of Kidanto et al. [9] which was conducted in Dar es Salaam in 2002, reported a 4-fold increased odds of preterm delivery by the severity of maternal anemia at delivery [9, 31]. Preterm term babies are at increased risk of morbidity and mortality, and therefore strategies to prevent maternal anemia should be scaled up as part of integrated antenatal care of pregnant women [32].
In the present study, the prevalence of fetal anemia was 5.9% which is high considering the reduced malaria prevalence in the study participants. Malaria and HIV are associated with an increased risk of fetal anemia [21, 33]. Studies conducted in high malaria endemic regions including HIV positive participants reported a high prevalence of fetal anemia [21, 33]. The observed fetal anemia could be due to submicroscopic malaria parasites sequestered in the placenta which was not included in the current report. In our study, other causes of fetal anemia such as hemolytic diseases were not investigated which could have also contributed to the observed prevalence of fetal anemia. The risk of foetal anemia increases with maternal heamoglobin concentration <8g/dL, preterm delivery and high placental malaria density [34]. However, this was not observed in our current report due to small sample size and reduced burden of malaria compared to previous reports. The risk factors for foetal anemia should not be neglected in this areas as the prevalence of foetal anemia is still high despite reduced malaira burden.
Limitations
This study did not assess the types of maternal anemia or causes of anemia such as hereditary diseases and nutrition status. Although there was evidence of prescribing and issuing of FEFO and mebendazole in pregnant women at the ANC, their actual use was self-reported because these medications are not given under directly observed therapy. Therefore, optimal adherence to these medications by all pregnant women cannot be assured. Malaria was diagnosed using the routine surveillance and passive case detection method (mRDT) instead of Malaria epidemiological survey techniques such as nucleic acid sequence-based amplification which was not available but is recommended by WHO in areas of low malaria transmission. Therefore, the prevalence of malaria reported in this study could be underestimated due to the limited sensitivity of mRDT as compared to more advanced diagnostic methods such as nucleic acid sequence-based amplification. Estimation of gestation age using the date of last menstrual period has the potential of recall bias. The collection of post-natal blood may have overestimated anemia prevalence. Studies with robust design should be conducted in low malaria transmission areas to ascertain the causes and propose the best interventions to prevent maternal anemia and LBW.
Conclusion
Despite the reduced malaria transmission and increased uptake of malaria preventive measures in some areas like Dar es Salaam in Tanzania, the prevalence of maternal anemia, LBW, fetal anemia and preterm delivery is still high. In this study, severe maternal anemia increased the risk of delivering preterm babies. The risk of LBW decreased in women who had used โฅ3 doses of IPTp-SP during pregnancy.
Further studies should be conducted to measure adherence levels of FEFO and other medications that are used for the prevention of anemia during pregnancy. Also, causes of LBW, maternal and fetal anemia should be investigated in areas with reduced prevalence of malaria to institutes appropriate interventions against preterm delivery, LBW, fetal and maternal anemia. The recommended โฅ3 doses of IPTp-SP should continue to be provided even in areas with a substantial reduction of malaria. We recommend further studies to determine why IPTp-SP improves birth weight, independent of malaria.
Acknowledgments
The authors highly appreciate the involved pregnant women who delivered at Mwananyamala Referral hospital. We also thank Mwananyamala Referral hospital management for granting permission to conduct the study in the facility. We also thank medical doctors, nurses and laboratory scientists who provided access and technical support during recruitment, data collection, and processing.
Authorsโ contributions
WPM designed the study, coordinated data collection, data analysis and drafted the manuscript. MOMS and EA participated in the interpretation of data and manuscript development. AARK participated in study design, supervision of the study, interpretation of data and manuscript development. All authors read and approved the final manuscript.
Funding
This study was funded by the Swedish International Development Cooperation Agency-Sida through Muhimbili University of Health and Allied Sciences, Malaria and Neglected Tropical diseases subprogram. The conduct of the study; data collection process and procurement of consumables used in fieldwork was funded by Sida.
Availability of data and materials
The dataset generated and/or analyzed during this study is available from the corresponding author upon reasonable request.
Ethics approval and consent to participate
The study was approved by the Muhimbili University of Health and Allied Sciences (MUHAS) Research Ethics Committee with reference number, Ref. No.2018-04-10/DRP/AEC/Vol.XII/82. Permission to conduct this study in Kinondoni municipality was obtained from the district medical officer. Only pregnant women who were willing to participate in the study were recruited and signed an informed consent before inclusion. Patient codes were used to delink the patient data in databases. There were no incentives offered for participation in the study.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Contributor Information
Wigilya P. Mikomangwa, Email: wpad.miko@gmail.com
Minzi OMS, Email: minziobejayesu@gmail.com.
Eleni Aklillu, Email: Eleni.Aklillu@ki.se.
Appolinary A. R. Kamuhabwa, Email: enali2012@gmail.com
References
Associated Data
Data Availability Statement
The dataset generated and/or analyzed during this study is available from the corresponding author upon reasonable request.