Skip to main content
The International Journal of Behavioral Nutrition and Physical Activity logoLink to The International Journal of Behavioral Nutrition and Physical Activity
. 2025 Mar 4;22:27. doi: 10.1186/s12966-025-01721-y

Geophagia in pregnancy and its association with nutritional status - A prospective cohort study in rural north-eastern Tanzania

Erica E Eberl 1,2, Daniel T R Minja 3, Lise E Lundtoft 4, Sofie L Moeller 4, John P A Lusingu 3, Ib C Bygbjerg 4, Inge Tetens 5, Christentze Schmiegelow 6,7, Marta Guasch-Ferré 1,8,9, Dirk L Christensen 4, Ruth JF Loos 1,10,11, Line Hjort 1,12,
PMCID: PMC11881378  PMID: 40038683

Abstract

Background

Geophagia or soil-eating behavior is common among pregnant women in sub-Saharan Africa, however its relationship with nutritional status demands further investigation. Using a prospective pregnancy cohort from north-eastern Tanzania, we examined the characteristics of geophagia and its association with nutritional status parameters (mid-upper arm circumference (MUAC), vitamin B12, folate, ferritin, and hemoglobin) before conception and throughout the gestational period.

Methods

Pregnant women (n = 530) were interviewed in each trimester regarding their soil-eating habits. Serum concentrations of vitamin B12, folate, ferritin, and hemoglobin, and MUAC were measured before conception and in each trimester. Cross-sectional comparisons between women who ate and did not eat soil were analyzed using Welch’s t-test for continuous variables and χ2-test for categorical variables. The association between changes in nutritional status parameters and the initiation of geophagia was investigated using multivariable logistic regression.

Results

The prevalence of geophagia in this cohort was 27% (n = 143) with most women initiating geophagia in the third trimester. Pregnant women that ate soil had significantly lower ferritin (p = 0.001) prior to conception and at concentrations diagnostic of iron deficiency (p = 0.022) compared to women who did not eat soil. Geophagia was associated with lower ferritin (p ≤ 0.001) and lower hemoglobin (p < 0.05) in each trimester and lower folate in the third trimester (p = 0.007). A smaller decline in hemoglobin and folate across the gestational period was associated with reduced odds of initiating geophagia in the third trimester (hemoglobin: OR 0.71, p = 0.008; folate: OR 0.97, p = 0.008). There was no significant association between a change in MUAC, serum B12 or ferritin and the initiation of geophagia during pregnancy.

Conclusions

Prenatal geophagia is closely related to iron and folate status. A greater decrease in hemoglobin and folate is associated with the initiation of geophagia during pregnancy. These findings are particularly relevant to low- and middle-income settings where geophagia is practiced and the prevalence of anemia in pregnancy is high.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-025-01721-y.

Keywords: Geophagia, Pica, Pregnancy, Iron status, Folate status, Vitamin B12 status, Mid-upper arm circumference, Anemia, Tanzania

Background

Geophagia is the deliberate consumption of soil, clay or other earth materials and has existed for centuries worldwide [1]. Today, it is most commonly observed among children and pregnant women as a form of pica [2], an eating disorder characterized by the persistent eating of non-nutritive substances [3]. The prevalence of geophagia in pregnancy (GiP) varies between and within countries but is estimated globally to be 36% with up to 73% in some sub-Saharan African populations [4]. Underreporting is likely as pregnant women may fear judgement for admitting an aberrant eating behaviour and investigators may lack the knowledge and skills to sensitively inquire about it in the context of differing perceptions, beliefs, and cultural norms [5]. GiP is considered a traditional and normal practice in several African countries [6, 7], where soil is often carefully selected and sold for human consumption [2, 4, 8]. In Tanzania, pregnant women have reported eating over 50 g of soil per day, including hardened soil sticks sold at local markets, soil from walls of houses, agricultural fields, termite mounds, and ground soil [912]. Cultural beliefs, nutrient supplementation and medicinal use are the traditional incentives for geophagia in Africa [7, 8, 13]. Pregnant women’s personal motives include satisfying cravings, a liking to the taste, texture, or smell of soil, mood improvement, and relief from hypersalivation and gastrointestinal upsets [4, 8, 11, 14]. Despite its sociocultural acceptance, GiP is discouraged by healthcare professionals due to the negative risks far outweighing the possible health benefits [7, 8, 15]. Soil is a source of pathogenic microbes, parasites, environmental pollutants, and heavy metals [1619], all of which can be deleterious to both the mother and offspring [2022]. Cases of excessive tooth abrasion and enamel damage [23, 24], as well as colonic obstruction and perforation [2527], have also been attributed to geophagia.

It is well known that geophagia is strongly associated with anemia [28] and is negatively correlated with hemoglobin, ferritin, and hematocrit levels among pregnant women in Kenya and Tanzania [29, 30]. Iron requirements increase during pregnancy, and a failure to maintain sufficient levels is associated with adverse gestational outcomes, including placental abruption, preterm birth, fetal malformation and growth restriction [31, 32]. However, whether GiP is the result or cause of poor iron status is an ongoing debate, largely due to the lack of randomized controlled trials and longitudinal research [2, 6, 33]. Its association with anemia also suggests a possible relationship with folate or vitamin B12 deficiency [34], yet no studies have prospectively examined this hypothesis despite these nutrients playing a pivotal role in maternal and fetal development [35, 36]. Furthermore, no studies have examined the association between GiP and markers of malnutrition in pregnancy, such as mid-upper arm circumference (MUAC) [37, 38], and no studies have investigated the relationship between GiP and nutritional status before pregnancy or in early first trimester. These areas are important in understanding the significance and prevention of this eating behavior.

Using data from a prospective pregnancy cohort in rural northeastern Tanzania, this study examined the characteristics of GiP and its association with nutritional status before conception and in each trimester. To further elucidate the relationship, a secondary aim was to determine whether changes in MUAC, vitamin B12, folate, ferritin, or hemoglobin concentrations across pregnancy are associated with the initiation of GiP.

Methods

Study design and population

We used data from the FOETALforNCD Study (FOetal exposure and Epidemiological Transition: the role of Anemia in early Life for Non-Communicable Diseases in later life), the details of which have been published elsewhere [39]. From July 2014 to December 2016, 538 pregnant women from Korogwe and Handeni districts, Tanga region, northeastern Tanzania, were enrolled in the study. Women were either part of a preconception cohort that were recruited before pregnancy or a pregnancy cohort that were selectively recruited in early pregnancy (≤ 14 gestational weeks) based on anemia status. This was done to ensure the pregnancy cohort consisted of equal numbers of women with and without anemia (defined as hemoglobin < 11.0 g/dL or ≥ 11.0 g/dL respectively) to meet the FOETALforNCD cohort study’s objectives. The FOETALforNCD inclusion and exclusion criteria have been described and justified previously [39]. In short, the inclusion criteria for women recruited at pre-conception were: age between 18 and 40 years, negative urine pregnancy test, living in an accessible area for the study, and should conception occur, willing to attend antenatal care and give birth at Korogwe District Hospital (KDH). Exclusion criteria included unsuccessful attempts to conceive for more than two consecutive years, usage of modern contraceptive methods except condoms, and having a child less than 9 months old. The women were invited to report for pregnancy testing every third month or if they suspected they were pregnant. Women were invited to participate in the pregnancy study if conception occurred between July 2014 and March 2016. Pregnant women that had not been recruited prior to conception were screened for anemia status and recruited between April 2015 to March 2016. The pregnancy cohort therefore consisted of 383 women recruited prior to conception and 155 women recruited in early pregnancy (78 with anemia and 77 without) (Fig. 1). Women were followed throughout pregnancy with scheduled antenatal care (ANC) visits at gestational weeks 11–14, 20–22, 26–28, 32–34 and 37–39. Follow-up of pregnant women was completed in December 2016 when the last woman in the cohort gave birth.

Fig. 1.

Fig. 1

Participant flowchart and inclusion criteria for study analyses. The association between nutritional status parameters and geophagia in each trimester was analyzed cross-sectionally using Welch’s t-test and chi-squared test. The association between the initiation of geophagia in the third trimester and a change in nutritional status from either the first or second trimester was analyzed using multivariable logistic regression

Point-of-care

In accordance with the ANC service in Tanzania, all pregnant women were offered to take 200 mg ferrous sulfate (equivalent to 43 mg ferrous iron) and 400 µg folic acid daily (Ferrolic–LF, Laboratory and Allied LTD, Mombasa, Kenya). If diagnosed with anemia at any ANC visit, women were either advised to increase supplementation or take Hemovit multivitamin syrup (Shelys Pharmaceuticals, Dar es Salaam, Tanzania) depending on anemia severity [39]. The minimum recommended dose of Hemovit amounted to 800 mg ferrous sulfate, 2 mg vitamin B6, 200 µg vitamin B12, 6 mg folic acid, and 9.32 mg zinc sulphate per day. Intermittent preventive treatment in pregnancy for malaria was provided from gestational week 16, and empirical treatment of helminth infestations at gestational week 20. Malaria was treated with quinine, artemether-lumefantrine, or artesunate injections, according to national guidelines and depending on the severity of illness and gestational age [39].

Data collection

The primary site of data collection was the maternity ward and reproductive and child health clinic at KDH. Clinical investigations and sample collection also took place via outreach dispensaries and mobile clinics across the Korogwe and Handeni districts. At the first ANC visit (enrolment), trained staff, fluent in Kiswahili, interviewed women and collected information regarding sociodemographic characteristics and medical history, including obstetrics. Socioeconomic status (SES) was determined using principal components analysis, based on the woman’s educational level, occupation, and economic characteristics [40]. The respective SES scores were categorized in tertiles as low, medium, and high, with low SES scores given for no or partial primary education, housewife or farmer as occupation, pond or river as primary water source, rental housing, thatch roofing, and having no toilet [40]. HIV infection was tested and recorded at enrolment. Anthropometric data, including MUAC, as well as information about medication and supplement use, malaria, gestational diseases and complications were obtained at enrolment and each subsequent ANC visit.

Venous blood was collected during ANC visits in EDTA and serum tubes and kept at 2–8 °C until processed at KDH within 2 h of collection. Hemoglobin was measured at all ANC visits using a Sysmex KX-21 N hematological analyzer (Sysmex Corporation, Kobe, Japan). Serum ferritin, folate, and vitamin B12 concentrations were measured at enrolment and 32–34 gestational weeks. Ferritin was measured using Vitros DT60II chemistry system (Diamond Diagnostics, Massachusetts, USA), and folate and vitamin B12 were measured using Vista 1500 chemical analyzer (Siemens Healthcare, Erlangen, Germany).

Information about GiP was collected as part of a structured dietary recall, conducted by trained personnel in Kiswahili at enrolment and once per subsequent trimester. During the dietary recall, women were asked if they had eaten soil at any time point since the last dietary assessment, or since becoming pregnant if it was the first dietary recall, and to provide details, including the frequency of consumption (number of eating occasions per day, week, or month), portion size, and type of soil consumed (ground soil, soil-sticks, or hardened clay). Portion sizes were quantified with the aid of measuring utensils and pictures developed by the research team (see Supplementary Fig. 1, Additional File 1). Each dietary recall was checked for completeness and any missing data was followed up at the next ANC visit.

Statistical analysis

For all analyses, the definition of first trimester was < 14 gestational weeks, second trimester ≥ 14 and < 28 gestational weeks, and third trimester ≥ 28 gestational weeks. All tests were 2-tailed and p-values < 0.05 were considered significant. We first investigated associations of GiP with baseline and demographic characteristics. Welch’s t-test was used to compare the means of continuous variables, and Pearson’s chi-squared (χ2) test was used to compare the distributions of categorical variables between women with and without GiP.

GiP characteristics

Characteristics of geophagia were summarized cross-sectionally at each trimester where GiP was reported. Soil type was reported in counts and percentages, and the portion sizes, frequencies, and daily intakes were summarized by means and 95% CI. In the case a woman reported geophagia in more than one diet recall within the same trimester, only the soil type reported in the first recall for that trimester was considered and the frequency and amount consumed were calculated as averages from the repeated reports. The temporality of GiP and GiP initiation was examined among women who completed a dietary recall in all three trimesters and reported geophagia in at least one. An UpSet plot was used to visualize the number of women that reported GiP in one and multiple trimesters.

Pre-pregnancy nutritional status

A subsample of the pregnancy cohort had nutritional status parameters measured before conception, including anthropometric measurements (MUAC, BMI) and nutrient biomarkers (vitamin B12, folate, ferritin, hemoglobin) (n = 328). Differences in nutritional status parameters and proportions of those deficient at pre-pregnancy were compared between women with and without GiP at any time during pregnancy. Vitamin B12 deficiency was defined as serum B12 < 150pmol/mL and folate deficiency as serum folate < 10nmol/L [41]. Iron deficiency was defined as serum ferritin concentration < 15ug/L [42] after using a correction factor of 0.67 if CRP > 5 mg/L [43]. Anemia was defined as hemoglobin < 12g/dL for non-pregnant women [44]. Ferritin was log-transformed prior to statistical testing due to skewed distribution. Data were summarized by means and 95% confidence intervals for nutritional status parameters and counts and percentages for nutritional deficiencies.

Nutritional status in each trimester

Cross-sectional associations between GiP and nutritional status parameters, excluding BMI, were assessed in each trimester using the same analytical approach. In the event a woman completed more than one dietary recall within the same trimester, the first recall or the first recall that reported geophagia was considered (see Supplementary Fig. 2, Additional File 1). In the event a women had a nutritional status parameter measured more than once within the same trimester, only the measurement taken at the time of the dietary recall was included in the analyses, excluding measurements taken at delivery. If no measurements were taken at the time of dietary recall, then the measurement taken at the previous visit within the same trimester, or following visit if no previous visits occurred, was included (see Supplementary Fig. 3, Additional File 1). Anemia was defined as < 11g/dL in the first and third trimesters, and < 10.5g/dL in the second trimester [44]. The means and distributions of nutritional status parameters in each trimester were visualized using violin plots.

Changes and initiation of GiP

Logistic regression was used to investigate the association between the initiation of GiP and changes in nutritional status parameters across the gestational period. Since too few women reported GiP in the first and second trimester, only the initiation of GiP in third trimester was considered. Women with GiP in the first and/or second trimesters were excluded from the analyses such that any geophagia reported in the third trimester could be considered a new behavior initiated during pregnancy. Differences in MUAC and serum concentrations of vitamin B12, folate, ferritin, and hemoglobin, from the first to the third trimester, were tested in separate multivariable logistic regression models with geophagia in the third trimester as the dependent variable. Covariates were selected from univariate analyses (p < 0.25) [45] with GiP in any trimester as the dependent variable (n = 530) and GiP in the third trimester as the dependent variable (n = 373). Stepwise backward selection was used to determine the following predictors to adjust for: gestational age at first ANC visit, civil status, and supplementation with Hemovit multivitamin syrup or vitamin B12 at any time during pregnancy(Fig. 2). The same multivariable logistic regression model was used to analyze the association between the initiation of geophagia in the third trimester and changes in MUAC and hemoglobin from the first to the second trimester and the second to the third trimester. Starting concentrations of nutritional status parameters could influence the association between changes of such and the initiation of GiP. To test for this, we used Welch’s t-test to compare the mean concentrations and χ2-test to compare the proportion of deficient women in the first and second trimester between those that initiated and did not initiate GiP in the third trimester. All statistical analyses and graphical illustrations were conducted using RStudio software (version 2024.4.2.764).

Fig. 2.

Fig. 2

Diagram of logistic regression analysis model. Predictors were selected using stepwise backward selection from the following list of co-variates: age, parity, maternal occupation, history of miscarriage, gestational age at third trimester visit, enrolment year, supplementation with iron, folate and/or vitamin B12 at enrolment, malaria at any time during pregnancy, use of antihelminth medication at any time during pregnancy, number of scheduled ANC visits during the study, preeclampsia. The change in each nutritional status parameter from first or from second trimester and its association with the initiation of geophagia in the third trimester was tested in separate logistic regression models, adjusting for gestational age at enrolment, civil status and supplementation with iron, folate, and/or B12 at any time during pregnancy

Results

Demographics and baseline characteristics associated with GiP

Of the 538 pregnant women enrolled, 530 women completed at least one dietary recall during pregnancy with 291 (55%) completing a dietary recall in all three trimesters (see Supplementary Fig. 4, Additional File 1). The proportion of women with GiP at any time during pregnancy was 27% (143/530). The average gestational age at enrolment, during the first ANC visit, was earlier for women who never ate soil (9.5 weeks, 95%CI = [9.1;9.9]) compared to those who ate soil at any time during pregnancy (11.1 weeks, 95%CI = [10.3; 11.9], p = 6.51e-4) (Table 1). A greater proportion of women with GiP were taking supplements containing iron and folic acid at enrolment (6.3%) compared to women without GiP (1.6%, p = 0.009). There was no significant difference between women with and without GiP regarding age, season at enrolment, parity, history of miscarriage, history of stillbirth, civil status, ethnicity, reigion, education level, occupation, SES, and chronic disease. At enrolment, there was also no significant difference regarding weight, BMI, MUAC, alcohol intake, medication use, anemia and recent history of anemia, malaria infection, and HIV status. No women in the cohort smoked.

Table 1.

Demographics and baseline characteristics of women with and without geophagia at any time during pregnancy

Characteristic1 Overall2
n = 530
No GiP2
n = 387
GiP2
n = 143
p-value3
Age (years) 27.8 [27.2, 28.3] 28.0 [27.3, 28.6] 27.3 [26.2, 28.4] 0.272
Gestational age at enrolment (weeks) 10.0 [9.6, 10.3] 9.5 [9.1, 9.9] 11.1 [10.3, 11.9] 6.51e-4
Season at enrolment 0.662
Dry (Dec-Mar) 248 (46.8%) 179 (46.3%) 69 (48.3%)
Long rains (Apr-May) 52 (9.8%) 36 (9.3%) 16 (11.2%)
Harvest (Jun-Sep) 146 (27.5%) 112 (28.9%) 34 (23.8%)
Short rains (Oct-Nov) 84 (15.8%) 60 (15.5%) 24 (16.8%)
Weight (kg) 57.6 [56.6, 58.7] 57.8 [56.6, 59.0] 57.2 [55.1, 59.4] 0.661
BMI (kg/m2) 23.8 [23.4, 24.2] 23.8 [23.4, 24.3] 23.8 [23.0, 24.5] 0.901
MUAC (cm) 28.3 [28.0, 28.7] 28.4 [28.0, 28.8] 28.2 [27.5, 28.8] 0.509
Alcohol intake 0.863
Yes 12 (2.3%) 8 (2.1%) 4 (2.8%)
No 518 (97.7%) 379 (97.9%) 139 (97.2%)
Parity 0.111
Nulliparous 67 (12.6%) 45 (11.6%) 22 (15.4%)
Primiparous 114 (21.5%) 77 (19.9%) 37 (25.9%)
Multiparous 349 (65.8%) 265 (68.5%) 84 (58.7%)
History of miscarriage 0.304
Yes 109 (20.6%) 75 (19.4%) 34 (23.9%)
No 420 (79.4%) 312 (80.6%) 108 (76.1%)
History of stillbirth 0.507
Yes 34 (6.5%) 27 (7.0%) 7 (4.9%)
No 493 (93.5%) 358 (93.0%) 135 (95.1%)
Civil status 0.348
Married 453 (86.0%) 334 (87.0%) 119 (83.2%)
Partner, co-habiting 23 (4.4%) 13 (3.4%) 10 (7.0%)
Partner, non-cohabiting 47 (8.9%) 34 (8.9%) 13 (9.1%)
Single, divorced, widowed 4 (0.8%) 3 (0.8%) 1 (0.7%)
Ethnicity 0.788
Sambaa 194 (36.6%) 144 (37.2%) 50 (35.0%)
Zigua 172 (32.5%) 126 (32.6%) 46 (32.2%)
Pare 37 (7.0%) 28 (7.2%) 9 (6.3%)
Bondei 15 (2.8%) 9 (2.3%) 6 (4.2%)
Other 112 (21.1%) 80 (20.7%) 32 (22.4%)
Religion 0.447
Islamic 396 (75.1%) 284 (73.8%) 112 (78.9%)
Catholic 30 (5.7%) 24 (6.2%) 6 (4.2%)
Lutheran 26 (4.9%) 22 (5.7%) 4 (2.8%)
Anglican 50 (9.5%) 35 (9.1%) 15 (10.6%)
Other 25 (4.7%) 20 (5.2%) 5 (3.5%)
Education 0.619
None 49 (9.2%) 37 (9.6%) 12 (8.4%)
Partial primary 72 (13.6%) 48 (12.4%) 24 (16.8%)
Complete primary 353 (66.6%) 261 (67.4%) 92 (64.3%)
Secondary or more 56 (10.6%) 41 (10.6%) 15 (10.5%)
Occupation 0.357
Professional 9 (1.7%) 5 (1.3%) 4 (2.8%)
Business 59 (11.2%) 46 (11.9%) 13 (9.1%)
Service 17 (3.2%) 12 (3.1%) 5 (3.5%)
Farmer 357 (67.6%) 263 (68.3%) 94 (65.7%)
Housework 85 (16.1%) 59 (15.3%) 26 (18.2%)
Other 1 (0.2%) 0 (0.0%) 1 (0.7%)
Socioeconomic status 4 0.380
Low 184 (35.2%) 129 (33.6%) 55 (39.6%)
Middle 168 (32.1%) 124 (32.3%) 44 (31.7%)
High 171 (32.7%) 131 (34.1%) 40 (28.8%)
Malaria infection 0.652
Positive 71 (13.5%) 54 (14.1%) 17 (12.1%)
Negative 454 (86.5%) 330 (85.9%) 124 (87.9%)
HIV status 0.925
Positive 17 (3.4%) 13 (3.6%) 4 (2.9%)
Negative 478 (96.6%) 346 (96.4%) 132 (97.1%)
Chronic disease 5 0.520
Yes 76 (14.6%) 53 (13.9%) 23 (16.7%)
No 443 (85.4%) 328 (86.1%) 115 (83.3%)
Anemia 0.134
Yes 119 (22.5%) 80 (20.7%) 39 (27.3%)
No 411 (77.5%) 307 (79.3%) 104 (72.7%)
History of anemia 6 1.000
Yes 6 (1.1%) 4 (1.0%) 2 (1.4%)
No 522 (98.9%) 381 (99.0%) 141 (98.6%)
Medication use 7 1.000
Yes 37 (7.0%) 27 (7.0%) 10 (7.0%)
No 492 (93.0%) 360 (93.0%) 132 (93.0%)
Supplement use 8 0.009
Yes 15 (2.8%) 6 (1.6%) 9 (6.3%)
No 515 (97.2%) 381 (98.4%) 134 (93.7%)

Abbreviations: GiP, geophagia in pregnancy; MUAC, mid-upper arm circumference

1All characteristics were collected at study enrolment during the first antenatal care visit

2Mean [95% CI] or frequency (%)

3Welch two sample t-test for continuous variables; Pearson’s χ2-test for categorical variables. P-values < 0.05 are shown in bold

4Socio-economic status was determined using principal components analysis based on maternal education, occupation, source of domestic water, type of house ownership, roofing materials and type of toilet facility

5Chronic diseases self-reported at enrolment were gastric ulcers, hypertension, diabetes, asthma, chronic kidney disease, epilepsy, cardiomegaly, hypotension, and lymphatic filariasiz

6Self-reported anemia within 6 months prior to the enrolment

7Medications included antibiotics, antimalarials, antiretrovirals, antihypertensives, anti-asthmatics, painkillers (paracetamol, aspirin, diclofenac), omeprazole, phenobarbital

8Supplements taken within 2 months prior to enrolment were a combined iron and folic acid supplement or multivitamin syrup (Hemovit)

Characteristics of GiP

Overall, women with GiP ate 37.7g of soil 1.6 times per day (Table 2). The average daily intake was 70.7g (95% CI = 50.0; 91.4, Table 2) and ranged from 1.3g to 1245g per day (data not shown). When examined cross-sectionally, the average daily intake of soil increased with each trimester, with the greatest amount of soil consumed in the third trimester (Table 2). The prevalence of GiP also increased with gestational age with 5% (20/444) of women in the first trimester eating soil, 8% (34/420) in the second trimester, and 33% (122/373) in the third trimester (Table 2; see Supplementary Fig. 5, Additional File 1). Soil-sticks were the preferred soil type in the first trimester while clay was the preferred soil type in the second and third trimesters (Table 2).

Table 2.

Soil intake characteristics among women with geophagia in first, second, and/or third trimester

Trimester Overall
n = 1432
Characteristic First Second Third
n = 201 n = 341 n = 1221
Soil type
Clay 6 (30.0%) 23 (67.6%) 71 (58.2%) 100 (69.9%)
Soil-stick 11 (55.0%) 8 (23.5%) 34 (27.9%) 53 (37.1%)
Ground soil 1 (5.0%) 1 (2.9%) 8 (6.6%) 10 (7.0%)
Portion size (g) 22.4 [16.4, 28.4] 44.0 [29.2, 58.8] 40.8 [32.0, 49.6] 37.7 [32.6, 42.9]
Daily frequency (portions/day) 3 1.3 [0.9, 1.6] 1.2 [0.9, 1.5] 1.7 [1.5, 1.9] 1.6 [1.4, 1.8]
Daily intake (g/day) 36.3 [16.3, 56.4] 54.5 [35.1, 73.8] 88.3 [44.0, 132.6] 70.7 [50.0, 91.4]

1 Mean [95%CI] or frequency (%) among women who reported eating soil in the first, second or third trimester-

2Mean [95%CI] or frequency (%) among women who reported eating soil at any time during pregnancy. Percentages sum to greater than 100 due to some women eating more than one type of soil across the gestational period. Average intake per individual was calculated before the average among all individuals

3Daily frequency as reported or calculated from weekly frequency or monthly frequency

We further examined the temporality of GiP among women who completed a dietary recall in all three trimesters and reported geophagia in at least one of these recalls (n = 103). Of these women, 15% ate soil in the first trimester, 24% in the second trimester, and 91% in the third trimester (Fig. 3). Most women did not eat any kind of soil in more than one trimester, with 69% initiating geophagia in the third trimester.

Fig. 3.

Fig. 3

Trimesters of geophagia occurrence. UpSet plot showing the number of women that reported geophagia in the first, second and/or third trimester among those who completed a dietary recall in all three trimesters and reported geophagia in at least one (n = 103). The set size corresponds to the total number of women with geophagia in a certain trimester. The intersection size corresponds to the number of women with geophagia in one or more trimester(s), with the dots under each column specifying the trimester(s)

Pre-pregnancy nutrient status and GiP

To investigate an association between GiP and nutritional status prior to conception, we compared anthropometric measurements and serum concentrations of nutrient biomarkers taken before pregnancy between women who eventually ate or did not eat soil during pregnancy. On average, women with GiP in any trimester had significantly lower ferritin (p = 0.001) and had a greater proportion with iron deficiency at pre-pregnancy (p = 0.022) compared to women without GiP (Table 3). There was no significant difference in pre-pregnancy BMI, MUAC, vitamin B12, folate, or hemoglobin between women with and without GiP.

Table 3.

Pre-pregnancy nutritional status parameters among women with or without geophagia at any time during pregnancy

Pre-pregnancy parameter1 Geophagia in pregnancy p-value3
n No2 n Yes2
BMI (kg/m2) 182 24.3 [23.6, 25.0] 73 23.5 [22.3, 24.6] 0.209
MUAC (cm) 183 29.1 [28.5, 29.7] 73 28.3 [27.3, 29.4] 0.182
Vitamin B12 (pmol/L) 225 547.9 [515.5, 580.2] 83 535.5 [481.9, 589.1] 0.696
Deficient (< 150pmol/L) 1 (0.4%) 0 (0%) 1.000
Folate (nmol/L) 216 34.4 [32.1, 36.6] 80 31.2 [28.4, 34.0] 0.079
Deficient (< 10nmol/L) 4 (1.9%) 2 (2.5%) 1.000
Ferritin (µg/L) 225 29.4 [25.7, 33.1] 83 19.5 [16.1, 23.0] 0.001 4
Defcient (< 15µg/L) 72 (32%) 39 (47%) 0.022
Hemoglobin (g/dL) 186 12.3 [12.1, 12.5] 73 12.1 [11.8, 12.5] 0.381
Anemia (< 12g/dL) 65 (35%) 26 (36%) 1.000

Abbreviations: MUAC, Mid-upper arm circumference

2Mean [95%CI] or frequency (%)

3Welch two sample t-test for continuous variables; Pearson’s χ2-test for categorical variables. P-values < 0.05 are shown in bold

4p-value after log-transformation of corrected ferritin concentrations

1Nutritional parameters were all measured prior to conception from women that were recruited pre-conceptively and were enrolled in the pregnancy study. A correction factor of 0.67 was applied to ferritin if CRP > 0.5mg/L at the time of measurement. BMI = body mass index

Nutritional status and GiP in each trimester

There was no significant difference in MUAC or vitamin B12 between women with or without GiP at any time-point during pregnancy (Fig. 4a-b). In the third trimester, women who ate soil had significantly lower folate than women who did not eat soil (p = 0.007, Fig. 4c) although there was no difference in the proportion of those that were folate deficient (Fig. 5). There was no significant difference in folate between women with and without GiP in the first or second trimesters. In each trimester, women who ate soil had lower ferritin compared to women who did not eat soil in the same trimester and the difference was significant after log-transformation (first trimester: p = 0.001, second trimester: p = 2.54e-5, third trimester: p = 2.15e-4, Fig. 4d). A greater proportion of women with GiP were iron deficient in each trimester compared to women without GiP (first trimester: p = 0.003, second trimester: p = 0.021, third trimester: p = 0.039, Fig. 4) Similarly women with GiP had significantly lower hemoglobin compared to women without GiP (first trimester: p = 0.015, second trimester: p = 0.006, third trimester: p = 3.61e-6, Fig. 4e) and had a greater proportion suffering from anemia (first trimester: p = 0.002, second trimester: p = 0.020, third trimester: p = 0.001, Fig. 4).

Fig. 4.

Fig. 4

Measurements of nutritional status parameters among women with and without geophagia in each trimester. Data points are means with 95% CIs. Cross-sectional comparisons of nutritional status parameters were analyzed using Welch’s t-test, p-values < 0.05 are shown. Ferritin was corrected for inflammation using a correction factor of 0.67 if CRP > 0.5 mg/L at the time of measurement and log-transformed for statistical analysis. Distributions of the individual datapoints for each group are shaded with sample sizes shown in the bottom corners of each plot

Fig. 5.

Fig. 5

Proportions of nutritional deficiencies among women with and without geophagia in each trimester. Differences in the distribution of proportions of deficiencies between women who did and did not eat soil in each trimester were analyzed using Pearson’s χ2-test. P-values < 0.05 are shown. Vitamin B12 deficiency was defined as serum B12 < 150pmol/mL, folate deficiency as serum folate < 10nmol/L, iron deficiency as serum ferritin < 15ug/L after using a correction factor of 0.67 if CRP > 5mg/L at the time of measurement, and anemia as < 11g/dL in the first and third trimesters and < 10.5g/dL in the second trimester

Changes in nutrient status and initiation of GiP in third trimester

Changes in folate and hemoglobin from the first to the third trimester were significantly associated with the initiation of GiP (Table 4). Women who did not start eating soil in the third trimester experienced an average decline of 6.37nmol/L in folate and 0.79g/dL in hemoglobin, while women who started eating soil experienced approximately double the decline in folate and hemoglobin. After adjusting for covariates, it was found that reducing the severity of decline of folate by 1nmol/L would reduce the odds of initiating GiP by 3% (p = 0.008), while reducing the severity of decline of hemoglobin by 1g/dL would reduce the odds of initiating GiP by 29% (p = 0.008). There was no significant difference in nutritional status parameters measured in the first trimester between those that did and did not initiate GiP (see Supplementary Table 1, Additional File 1). Those that initiated GiP had lower hemoglobin in the second trimester compared to those that did not initiate (p = 0.012; see Supplementary Table 2, Additional File 1).

Table 4.

Changes in nutritional status parameters from first trimester and initiation of geophagia in third trimester

Parameter1 Geophagia initiated OR
[95%CI]
AOR [95%CI]3 AOR
p-value
n No2 n Yes2
MUAC (cm) 188

-0.36

[-0.60;-0.12]

69

-0.62

[-1.01;-0.23]

0.91 [0.78;1.08] 0.92 [0.78;1.09] 0.340
B12 (pmol/L) 180

-3.23

[-3.64;-2.82]

68

-3.45

[-4.16;-2.73]

0.97 [0.88;1.07] 0.94 [0.85;1.04] 0.235
Folate (nmol/L) 173

-6.37

[-8.48;-4.25]

64

-12.55

[-16.75;-8.35]

0.97 [0.95;0.99] 0.97 [0.95;0.99] 0.008
Ferritin (µg/L) 180

-2.46

[-3.16;-1.76]

68

-2.80

[-3.95;-1.64]

0.99 [0.93;1.04] 0.98 [0.93;1.04] 0.502
Hemoglobin (g/dL) 188

-0.79

[-1.00;-0.58]

70

-1.31

[-1.55;-1.07]

0.71 [0.55;0.91] 0.71 [0.55;0.91] 0.008

Abbreviations: AOR, adjusted odds ratio; B12, serum vitamin B12; MUAC, mid-upper arm circumference; OR, crude odds ratio

1Nutritional status parameters measured in the first and third trimesters. Ferritin was corrected for inflammation using a correction factor of 0.67 if CRP > 0.5mg/L at the time of measurement

2Mean difference [95%CI] from first to third trimester

3Adjusted for civil status, gestational age (days) at enrollment, and supplementation with vitamin B12 or multivitamin syrup (Hemovit) during pregnancy. P-values < 0.05 are shown in bold

No significant association was found between changes in hemoglobin from second trimester and the initiation of GiP in third trimester (Table 5); however, after adjusting for covariates, a 1g/dL reduction in the severity of decline of hemoglobin from first to second trimester was associated with a 36% decrease in the odds of initiating GiP (p = 0.006; see Supplementary Table 3, Additional File 1). The initiation of GiP was not related to changes in MUAC, vitamin B12, or ferritin during pregnancy.

Table 5.

Changes in MUAC and hemoglobin from second trimester and initiation of geophagia in third trimester

Parameter1 No initiation2
(n = 188)
Initiation2
(n = 71)
OR
[95%CI]
AOR [95%CI]3 AOR
p-value
MUAC (cm)

-0.12

[-0.32;0.09]

-0.24

[-0.54;0.06]

0.94 [0.77;1.14] 0.95 [0.78;1.17] 0.647
Hemoglobin (g/dL)

-0.08

[-0.25;0.09]

-0.24

[-0.45;-0.04]

0.87 [0.67;1.12] 0.91 [0.70;1.19] 0.499

Abbreviations: AOR, adjusted odds ratio; MUAC, mid-upper arm circumference; OR, crude odds ratio

1Nutritional status parameters measured in the second and third trimesters

2Mean difference [95%CI] from second to third trimester

3AOR= Adjusted for civil status, gestational age (days) at enrollment, supplementation with vitamin B12 or multivitamin syrup (Hemovit) during pregnancy

Discussion

In this prospective cohort study, we examined GiP and its relation to MUAC, vitamin B12, folate, and iron status in pre-pregnancy and across the gestational period among women in rural northeastern Tanzania. The prevalence of GiP in the study cohort was 27%, which is consistent with findings from other regions in Tanzania [9, 10, 46]. We found GiP to be associated with lower ferritin concentrations and iron deficiency in pre-pregnancy and in every trimester. GiP was also associated with lower hemoglobin and anemia during pregnancy and lower folate in the third trimester. The initiation of GiP was related to a greater decline in hemoglobin and folate in the period preceding GiP initiation. We found no evidence supporting a relationship between GiP and MUAC or vitamin B12 concentrations, before or during pregnancy.

This is the first study to investigate GiP in relation to folate status. Similar studies considering folate have focused on pica more broadly and with a smaller number of cases [47, 48]. In a cohort of African American women in Washington, lower folate during pregnancy was associated with amylophagia (craving for starch) but not other forms of pica [47]. As the researchers observed no cases of geophagia, is it possible that the association we found between folate status and GiP was either non-pica-related or pica-related in this specific African setting where GiP is more culturally acceptable [8, 12, 13]. Consistent with our findings in pre-pregnancy, previous research has found no difference in folate concentrations between non-pregnant women with or without pica [49]. The relationship between folate and geophagia might be specific to gestation, where folate requirements are higher to facilitate DNA replication and foetal development. However more studies are needed to confirm this relationship.

Our results support previous findings that GiP is an important indicator of iron deficiency and anemia during pregnancy [2830, 50, 51]; however, our study only found an association between GiP initiation and hemoglobin changes from the first, and not from the second, trimester. This could be due to the natural changes in plasma volume and red cell mass that occur during gestation. It is generally accepted that hemoglobin is lowest in the second trimester due to the increase in plasma volume exceeding the increase in red cell mass [52], and then increases from the second to the third trimester due to a rise in erythropoiesis [53, 54]. Our findings suggest that a greater decrease from the first to second trimester is predictive of the initiation of GiP.

Alternatively, it has been speculated that interpersonal differences in hemoglobin, and not simply individual fluctuations, play a greater role in the initiation of GiP [33]. A longitudinal study in Kenya found that individual changes in hemoglobin levels from second trimester were not related to the initiation or cessation of geophagia, but that a one unit increase in average hemoglobin was associated with a 35% decrease in the odds of geophagia [33]. Although our study also found that women with GiP consistently had lower hemoglobin, individual changes might be more significant when they relate to the absence and presence of anemia. Those that initiated geophagia in third trimester experienced an average decline of 1.3 g/dL from 11.7 g/dL in first trimester, almost double what was experienced by those that did not initiate. This would have contributed to many women shifting from above to below the cut-off value for anemia in the third trimester.

The relationship between GiP and iron status could also be more social than physiological. In this cohort, pregnant women were notified and provided supplements if they were diagnosed with low hemoglobin at any ANC visit. Women with anemia may have chosen to eat soil to provide additional mineral supplementation, as has been found among pregnant population groups in South Africa [55], or as a more palatable alternative to the supplements provided by the research team. Additionally, an increase in soil intake in the third trimester, when the fetus is larger in size and pregnancy is more visible, could also be a sign of conformity to cultural beliefs that geophagia is normal and essential for pregnancy [8, 12, 13]. Findings from pregnant women residing in Tanzania’s Geita district reveal that most women practicing geophagia believe it to reduce or stop “morning sickness” [9], however it is worth noting that more than half of these women initiated geophagia in the first, not the third, trimester, when nausea and vomiting is more likely to be experienced [56]. More research is needed on the sociocultural beliefs concerning GiP in Tanzania to inform interventions aimed at preventing this eating behavior from occurring.

The characteristics of GiP have important implications when assessing a pregnant woman’s exposure to trace elements, toxic metals, and soil-borne pathogens. While this study did not involve chemical analysis of the soils ingested, findings from a previous study suggest that soil sticks sold in the Tanga region have concentrations of iron, chromium, and copper that far exceed recommended safety levels [18]. An average intake of 71 g of soil per day, as was found in this study, could result in a high exposure of chromium and copper, which has been shown to restrict fetal growth and increase the risk of pre-term birth [5759]. Additionally, the preference for hardened soil varieties in this cohort, such as clay and soil-sticks, lends itself to greater tooth abrasion [60]. There is a clear need for clinical controlled trials to clarify the health implications and potential toxicity of GiP.

This study found an association between GiP and iron deficiency before pregnancy. However, since information regarding geophagia before pregnancy was not collected, it cannot be said whether this association is due to a predisposition to low ferritin or because women were used to eating soil prior to conception. Our study also found very few women eating soil in the first or second trimester making it impossible to explore the reverse relationship of GiP on nutritional status. For the same reason, it was not possible to investigate whether changes in nutritional status parameters preceded the initiation of geophagia in the second or first trimester. Future intervention studies should test if earlier access to iron and folate supplementation, for women planning to become pregnant, reduces GiP. It is also worth noting that only 55% of the cohort completed a dietary recall in all three trimesters which limits our sample size for the longitudinal analyses. However the sample size is still greater than what has been used previously to investigate similar research questions [33]. Additional limitations include the lack of vitamin B12, folate, and ferritin measurements in the second trimester and variation in the gestational age where dietary recalls and blood samples were collected. Despite this, efforts were made to include measurements from blood samples that were taken at the time or closest to the time of dietary recall. Strengths of the study include its longitudinal design and the measurement of GiP in early pregnancy, which previous studies have not performed. This is also the first study to have investigated the relationship between various nutritional status parameters and GiP both at pre-pregnancy and throughout the gestational period.

Conclusions

In conclusion, we found GiP to be associated with lower folate, ferritin and hemoglobin in pregnancy and that a decline in hemoglobin and folate precedes the initiation of geophagia in third trimester. This is the first study investigating GiP in relation to MUAC and vitamin B12 status of which no associations were found. Public health initiatives aimed at preventing GiP should focus on monitoring folate and iron status during pregnancy and ensuring adequate stores prior to conception, either through supplementation, food fortification, or dietary advice. Further research is needed to determine the health consequences of GiP on both mother and offspring and the factors underlying the relationship between GiP, folate and iron status.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1 (15.5MB, docx)
Supplementary Material 2 (32.4KB, docx)

Acknowledgements

We would like to thank all the participating women in the study, and all committed healthcare workers assisting in the antenatal services. We also thank the FOETALforNCD Study research team for their efforts in recruitment, data collection and generating the biobank. Acknowledgement is also given to Lars Ängquist and Siddhi Yash Jain for their guidance in statistics and bioinformatics.

Abbreviations

ANC

Antenatal care

FOETALforNCD

FOetal exposure and Epidemiological Transition the role of Anemia in early Life for Non-Communicable Diseases in later life study

GiP

Geophagia in pregnancy

MUAC

Mid-upper arm circumference

SES

Socioeconomic status

Author contributions

E.E.E. curated and analyzed the data and wrote the paper. D.T.R.M., J.P.A.L., I.C.B., C.S. designed and acquired funding for the FOETALforNCD Study. L.E.L., D.L.C., I.T. designed the dietary recall. L.E.L., D.T.R.M., S.L.M., C.S., L.H. collected the data. L.H., R.J.F.L., and M.G. provided supervision and were involved in reviewing and editing the manuscript. E.E.E. and L.H. had primary responsibility for the final content. All authors read and approved the final manuscript.

Funding

Open access funding provided by Copenhagen University

The FOETALforNCD Study was funded by the Danish Council for Strategic Research (grant 1309-00003B). EEE was supported by the Novo Nordisk Foundation (grant NNF0069781). LH was supported by the Danish Diabetes and Endocrine Academy and the BRIDGE - Translational Excellence Programme, both funded by the Novo Nordisk Foundation (NNF17SA0031406, NNF20SA0064340). CS was supported by the Danish Independent Research Fund: Clinician Scientist Positions, Medical Sciences. DLC was supported by grants from the Danish International Development Agency (DANIDA No. 17-03-KU and DANIDA No. 19-M06-KU). The Novo Nordisk Foundation Center for Basic Metabolic Research is an independent research center at the University of Copenhagen, partially funded by an unrestricted donation from the Novo Nordisk Foundation (NNF18CC0034900). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Data availability

The datasets analysed during the current study are available from the corresponding author on reasonable request. The analytic code will be made publicly and feely available without restriction at https://github.com/LoosTeam/EEberl_GiP.

Declarations

Ethics approval and consent to participate

The FOETALforNCD Study received ethical approval from the National Health Research Ethics Committee (NatHREC) of the Tanzania Medical Research Coordinating Committee, which is managed by the National Institute for Medical Research (MRCC) (reference number: NIMR/HQ/R.8a/Vol. IX/1717). Informed consent, written and verbal, was obtained prior to study enrolment and all women were provided medical care and treated according to existing Tanzanian guidelines. All study procedures were performed according to good clinical and laboratory practices and the Declaration of Helsinki. Data sharing procedures met the local National Health Research Ethics Committee (NatHREC) requirements.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Abrahams PW, Parsons JA. Geophagy in the tropics: a literature review. Geographical J. 1996;162(1):63–72. [Google Scholar]
  • 2.Davies TC. Current status of research and gaps in knowledge of geophagic practices in Africa. Front Nutr. 2023;9:14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Diagnostic. In: Association AP, editor. and Statistical manual of mental disorders. 5 ed. Arlington (VA): American Psychiatric Publishing; 2013. [Google Scholar]
  • 4.Geissler PW, Prince RJ, Levene M, Poda C, Beckerleg SE, Mutemi W, Shulman CE. Perceptions of soil-eating and anaemia among pregnant women on the Kenyan coast. Soc Sci Med. 1999;48(8):1069–79. [DOI] [PubMed] [Google Scholar]
  • 5.Young SL. Pica in pregnancy: New ideas about an Old Condition. Annu Rev Nutr. 2010;30:403–22. [DOI] [PubMed] [Google Scholar]
  • 6.Sanjari S, Soleimani MRM, Fakhraei AA. Update on the global prevalence of Pica in pregnant women: a Meta-analysis. Int J Women’s Health Reprod Sci. 2023;11(3):99–110. [Google Scholar]
  • 7.Kambunga SN, Candeias C, Hasheela I, Mouri H. Review of the nature of some geophagic materials and their potential health effects on pregnant women: some examples from Africa. Environ Geochem Health. 2019;41(6):2949–75. [DOI] [PubMed] [Google Scholar]
  • 8.Huebl L, Leick S, Guettl L, Akello G, Kutalek R. Geophagy in Northern Uganda: perspectives from consumers and clinicians. Am J Trop Med Hyg. 2016;95(6):1440–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Nyanza EC, Joseph M, Premji SS, Thomas DSK, Mannion C. Geophagy practices and the content of chemical elements in the soil eaten by pregnant women in artisanal and small scale gold mining communities in Tanzania. BMC Pregnancy Childbirth. 2014;14:10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Yamamoto SS, Premji SS, Nyanza EC, Jahanpour O. Investigating the association between stress. Anxiety and geophagy among pregnant women in Mwanza, Tanzania. Appetite. 2019;142:7. [DOI] [PubMed] [Google Scholar]
  • 11.Young SL, Wilson MJ, Hillier S, Delbos E, Ali SM, Stoltzfus RJ. Differences and commonalities in Physical, Chemical and Mineralogical properties of Zanzibari Geophagic Soils. J Chem Ecol. 2010;36:129–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Nyaruhucha CN. Food cravings, aversions and pica among pregnant women in Dar Es Salaam, Tanzania. Tanzan J Health Res. 2009;11(1):29–34. [PubMed] [Google Scholar]
  • 13.Njiru H, Elchalal U, Paltiel O. Geophagy during pregnancy in Africa: a literature review. Obstet Gynecol Surv. 2011;66(7):452–9. [DOI] [PubMed] [Google Scholar]
  • 14.Cham LC, Kayeme Z, Bokanya I, Tambwe MA, Bito V, Kakoma SZ. Contributing factors to the awareness of Health risks of Geophagy among pregnant women in Lubumbashi. Fortune J Health Sci. 2023;6:325–31. [Google Scholar]
  • 15.Bonglaisin JN, Kunsoan NB, Bonny P, Matchawe C, Tata BN, Nkeunen G, Mbofung CM. Geophagia: benefits and potential toxicity to human-A review. Front Public Health. 2022;10:11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Kutalek R, Wewalka G, Gundacker C, Auer H, Wilson J, Haluza D, et al. Geophagy and potential health implications: geohelminths, microbes and heavy metals. Trans R Soc Trop Med Hyg. 2010;104(12):787–95. [DOI] [PubMed] [Google Scholar]
  • 17.Ekosse G-IE, Ngole-Jeme VM, Diko ML. Environmental Geochemistry of Geophagic Materials from Free State Province in South Africa. Open Geosci. 2017;9:114–25. [Google Scholar]
  • 18.Nyanza E. The sources and chemical content of edible soil sticks sold in markets in Tanzania: a cross-sectional analytical study. Environ Geochem Health. 2019;41:893–906. [DOI] [PubMed] [Google Scholar]
  • 19.Olajide-Kayode JO, Kolawole TO, Oyaniran OO, Mustapha SO, Olatunji AS. Potentially harmful element toxicity in Geophagic clays consumed in parts of southeastern Nigeria. J Trace Elem Minerals. 2023;4:13. [Google Scholar]
  • 20.Shannon M. Severe lead poisoning in pregnancy. Ambul Pediatr. 2003;3(1):37–9. [DOI] [PubMed] [Google Scholar]
  • 21.Amadi CN, Igweze ZN, Orisakwe OE. Heavy metals in miscarriages and stillbirths in developing nations. Middle East Fertility Soc J. 2017;22(2):91–100. [Google Scholar]
  • 22.Getachew M, Yeshigeta R, Tiruneh A, Alemu Y, Dereje E, Mekonnen Z. Soil-transmitted helminthic infections and Geophagia among pregnant women in Jimma Town Health institutions, Southwest Ethiopia. Ethiop J Health Sci. 2021;31(5):1033–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Srivastava DM. PICA: a menace for oral health. Saudi J Oral Dent Res. 2019:78–81.
  • 24.Advani S, Kochhar G, Chachra S, Dhawan P. Eating everything except food (PICA): a rare case report and review. J Int Soc Prev Community Dent. 2014;4(1):1–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Solaini L, Gardani M, Ragni F, Geophagia. An extraordinary cause of perforation of the sigmoid colon. Surgery. 2012;152(1):136–7. [DOI] [PubMed] [Google Scholar]
  • 26.Ginaldi S, Geophagia. An uncommon cause of acute abdomen. Ann Emerg Med. 1988;17(9):979–81. [DOI] [PubMed] [Google Scholar]
  • 27.Woywodt A, Kiss A. Perforation of the sigmoid Colon due to Geophagia. Arch Surg. 1999;134(1):88–9. [DOI] [PubMed] [Google Scholar]
  • 28.Miao D, Young SL, Golden CD. A meta-analysis of pica and micronutrient status. Am J Hum Biol. 2015;27(1):84–93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Geissler PW, Shulman CE, Prince RJ, Mutemi W, Mnazi C, Friis H, Lowe B. Geophagy, iron status and anaemia among pregnant women on the coast of Kenya. Trans R Soc Trop Med Hyg. 1998;92(5):549–53. [DOI] [PubMed] [Google Scholar]
  • 30.Kawai K, Saathoff E, Antelman G, Msamanga G, Fawzi WW. Geophagy (Soil-eating) in relation to Anemia and Helminth infection among HIV-infected pregnant women in Tanzania. Am J Trop Med Hyg. 2009;80(1):36–43. [PMC free article] [PubMed] [Google Scholar]
  • 31.Shi H, Chen L, Wang Y, Sun M, Guo Y, Ma S, et al. Severity of Anemia during pregnancy and adverse maternal and fetal outcomes. JAMA Netw Open. 2022;5(2):e2147046–e. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Georgieff MK. Iron deficiency in pregnancy. Am J Obstet Gynecol. 2020;223(4):516–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Miller JD, Fitzgerald KG, Smith AL, Young SL. Geophagy among a cohort of Kenyan women with mixed HIV Status: a longitudinal analysis. Am J Trop Med Hyg. 2019;101(3):654–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Aslinia F, Mazza JJ, Yale SH. Megaloblastic anemia and other causes of macrocytosis. Clin Med Res. 2006;4(3):236–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Sayar EH, Orhaner BB, Sayar E, NesrinTuran F, Küçük M. The frequency of vitamin B12, iron, and folic acid deficiency in the neonatal period and infancy, and the relationship with maternal levels. Turk Pediatri Ars. 2020;55(2):139–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Gernand AD, Schulze KJ, Stewart CP, West KP, Christian P. Micronutrient deficiencies in pregnancy worldwide: health effects and prevention. Nat Reviews Endocrinol. 2016;12(5):274–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Miele MJ, Souza RT, Calderon I, Feitosa F, Leite DF, Filho ER, et al. Proposal of MUAC as a fast tool to monitor pregnancy nutritional status: results from a cohort study in Brazil. BMJ Open. 2021;11(5):11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Fakier A, Petro G, Fawcus S. Mid-upper arm circumference: a surrogate for body mass index in pregnant women. S Afr Med J. 2017;107(7):606–10. [DOI] [PubMed] [Google Scholar]
  • 39.Hjort L, Lykke Møller S, Minja D, Msemo O, Nielsen BB, Lund Christensen D, et al. FOETAL for NCD-FOetal exposure and epidemiological transitions: the role of Anaemia in early life for non-communicable diseases in later life: a prospective preconception study in rural Tanzania. BMJ Open. 2019;9(5):14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Msemo OA, Bygbjerg IC, Møller SL, Nielsen BB, Ødum L, Perslev K, et al. Prevalence and risk factors of preconception anemia: a community based cross sectional study of rural women of reproductive age in northeastern Tanzania. PLoS ONE. 2018;13(12):18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.de Benoist B. Conclusions of a WHO Technical Consultation on Folate and vitamin B12 deficiencies. FoodNutr Bull. 2008;29(2 Suppl):S238–44. [DOI] [PubMed] [Google Scholar]
  • 42.Serum ferritin concentrations for the assessment. of iron status in individuals and populations: technical brief2020:[[6 p.] p.].
  • 43.Thurnham DI, McCabe LD, Haldar S, Wieringa FT, Northrop-Clewes CA, McCabe GP. Adjusting plasma ferritin concentrations to remove the effects of subclinical inflammation in the assessment of iron deficiency: a meta-analysis. Am J Clin Nutr. 2010;92(3):546–55. [DOI] [PubMed] [Google Scholar]
  • 44.Guideline on haemoglobin. cutoffs to define anaemia in individuals and populations2024:[[79 p.] p.]. [PubMed]
  • 45.Bursac Z, Gauss CH, Williams DK, Hosmer DW. Purposeful selection of variables in logistic regression. Source Code Biol Med. 2008;3. [DOI] [PMC free article] [PubMed]
  • 46.Patil CL. Appetite sensations in pregnancy among Agropastoral women in Rural Tanzania. Ecol Food Nutr. 2012;51(5):431–43. [DOI] [PubMed] [Google Scholar]
  • 47.Edwards CH, Johnson AA, Knight EM, Oyemade UJ, Cole OJ, Westney OE, et al. Pica in an urban environment. J Nutr. 1994;124(6 Suppl):S954–62. [DOI] [PubMed] [Google Scholar]
  • 48.Karaoglu L, Pehlivan E, Egri M, Deprem C, Gunes G, Genc MF, Temel I. The prevalence of nutritional anemia in pregnancy in an east Anatolian province, Turkey. BMC Public Health. 2010;10:12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Karabulut A, Güler ÖT, Karahan HT, Özkan S, Koyuncu H, Demirciler I. Premarital screening of 466 Mediterranean women for serum ferritin, vitamin B12, and folate concentrations. Turk J Med Sci. 2015;45(2):358–63. [DOI] [PubMed] [Google Scholar]
  • 50.Ali SA, Hassan AA, Adam I. History of Pica, obesity, and their associations with Anemia in pregnancy: a community-based cross-sectional study. Life. 2023;13(11):11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Young SL, Khalfan SS, Farag TH, Kavle JA, Ali SM, Hajji H, et al. Association of pica with anemia and gastrointestinal distress among pregnant women in Zanzibar, Tanzania. Am J Trop Med Hyg. 2010;83(1):144–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Churchill D, Nair M, Stanworth SJ, Knight M. The change in haemoglobin concentration between the first and third trimesters of pregnancy: a population study. BMC Pregnancy Childbirth. 2019;19(1):6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Beguin Y, Lipscei G, Thoumsin H, Fillet G. Blunted erythropoietin production and decreased erythropoiesis in early pregnancy. Blood. 1991;78(1):89–93. [PubMed] [Google Scholar]
  • 54.Choi JW, Pai SH. Change in erythropoiesis with gestational age during pregnancy. Ann Hematol. 2001;80(1):26–31. [DOI] [PubMed] [Google Scholar]
  • 55.Macheka LR, Olowoyo JO, Matsela L, Khine AA. Prevalence of geophagia and its contributing factors among pregnant women at Dr. George Mukhari Academic Hospital, Pretoria. Afr Health Sci. 2016;16(4):972–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Lee NM, Saha S. Nausea and vomiting of pregnancy. Gastroenterol Clin North Am. 2011;40(2):309–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Pan X, Hu J, Xia W, Zhang B, Liu W, Zhang C, et al. Prenatal chromium exposure and risk of preterm birth: a cohort study in Hubei, China. Sci Rep. 2017;7(1):8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Peng Y, Hu J, Li Y, Zhang B, Liu W, Li H, et al. Exposure to chromium during pregnancy and longitudinally assessed fetal growth: findings from a prospective cohort. Environ Int. 2018;121(Pt 1):375–82. [DOI] [PubMed] [Google Scholar]
  • 59.Hao Y, Pang Y, Yan H, Zhang Y, Liu J, Jin L, et al. Association of maternal serum copper during early pregnancy with the risk of spontaneous preterm birth: a nested case-control study in China. Environ Int. 2019;122:237–43. [DOI] [PubMed] [Google Scholar]
  • 60.Malepe RE, Candeias C, Mouri H. Geophagy and its potential human health implications - a review of some cases from South Africa. J Afr Earth Sc. 2023;200:8. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Material 1 (15.5MB, docx)
Supplementary Material 2 (32.4KB, docx)

Data Availability Statement

The datasets analysed during the current study are available from the corresponding author on reasonable request. The analytic code will be made publicly and feely available without restriction at https://github.com/LoosTeam/EEberl_GiP.


Articles from The International Journal of Behavioral Nutrition and Physical Activity are provided here courtesy of BMC

RESOURCES