Skip to main content
The Journal of Nutrition logoLink to The Journal of Nutrition
. 2014 Aug 13;144(10):1533–1539. doi: 10.3945/jn.114.192070

Gestational Iron Deficiency Is Associated with Pica Behaviors in Adolescents1,2,3

Rachel A Lumish 4, Sera L Young 4, Sunmin Lee 4, Elizabeth Cooper 5, Eva Pressman 5, Ronnie Guillet 5, Kimberly O O’Brien 4,*
PMCID: PMC4162476  PMID: 25122650

Abstract

A relation between pica (the craving and purposive consumption of nonfood items) during pregnancy and anemia is observed frequently. However, few studies related pica behaviors to biomarkers of iron status, and little is known about pica prevalence in U.S. pregnant adolescents. To address this, we undertook a longitudinal study examining iron status and pica behaviors among a group of 158 pregnant adolescents (aged ≤18 y). Approximately two-thirds of the participants were African American and 25% were Hispanic. Maternal iron status indicators [hemoglobin, soluble transferrin receptor, serum ferritin (SF), total body iron (TBI), and serum hepcidin] were assessed during pregnancy (18.5–37.3 wk) and at delivery. Pica behavior was assessed up to 3 times across gestation. Among the 158 adolescents, 46% reported engaging in pica behavior. Substances ingested included ice (37%), starches (8%), powders (4%), and soap (3%). During pregnancy, mean SF [geometric mean: 13.6 μg/L (95% CI: 11.0, 17.0 μg/L)], TBI (mean ± SD: 2.5 ± 4.2 mg/kg), and hepcidin [geometric mean: 19.1 μg/L (95% CI: 16.3, 22.2 μg/L)] concentrations were significantly lower (P < 0.05) in the pica group (n = 72) than values observed among the non-pica group [SF, geometric mean: 21.1 μg/L (95% CI: 18.0, 25.0 μg/L); TBI, mean ± SD: 4.3 ± 3.5 mg/kg; hepcidin, geometric mean: 27.1 μg/L (95%: 23.1, 32.1 μg/L); n = 86]. Although additional studies must address the etiology of these relations, this practice should be screened for, given its association with low iron status and because many of the substances ingested may be harmful. This trial was registered at clinicaltrials.gov as NCT01019902.

Introduction

Pica is a general term referring to the craving and purposive consumption of nonfood items, such as earth (geophagy), raw starch (amylophagy), large quantities of ice (pagophagy), charcoal, ash, and chalk (1). It has been observed for ≥2000 y; the first known description was by Hippocrates in 400 BCE. Pica is most prevalent among pregnant women and young children (2). At points in history, it was classified as an eating disorder, in the same category as bulimia and anorexia (3). Others suggested that pica is an adaptive behavior, with potential benefits including provision of iron and detoxification of harmful dietary components (4).

As early as 30 AD, links were made between pica, pregnancy, and anemia (2). Since then, there were numerous epidemiologic studies in which an association was observed between pregnancy, iron deficiency anemia, and pica (2). Reynolds et al. (5) were the first to demonstrate a direct biochemical relation between pagophagy and iron deficiency anemia in a group of men and women aged 15–78 y, and they were able to reverse pica in this group with iron repletion. Similar pagophagy initiation and cessation were observed in a controlled rat model of iron deficiency anemia, followed by iron repletion (6). However, most of the human studies that since examined this association classified individuals as anemic or non-anemic, using only hemoglobin or hematocrit concentrations. In addition, the majority of studies on this topic are cross-sectional, making it impossible to determine whether pica contributes to iron deficiency or whether iron deficiency is a causal factor in the development of pica (710).

Although the etiology of the elevated incidence of pica during pregnancy is not currently understood, 1 of the most common hypotheses is that pica is driven by an underlying nutrient deficiency (1). During pregnancy, nutritional requirements increase to support fetal and placental growth. Therefore, pregnant women are at an increased risk of nutrient deficiencies, particularly iron deficiency (11, 12). Recent data from the NHANES 1999–2006 (n = 1171) suggested that 18.0% of U.S. pregnant women were iron deficient [total body iron (TBI)6 < 0 mg/kg] (13). Similarly, adolescence is a time of higher nutrient requirements in support of adolescent growth (14). Approximately 9% of female adolescents aged 12–15 y and 11% of females aged ≥16 y who participated in the NHANES 1988–1994 were found to be iron deficient (15). This suggests that the pregnant adolescent population is particularly vulnerable to nutrient deficiencies and, therefore, under this hypothesis, might exhibit pica behavior. Few papers were published on pica behaviors among U.S. adolescents, and the majority of these reports are case studies, limiting the generalizability of these findings (1626). To our knowledge, no studies focused on the pregnant adolescent population.

Therefore, to assess the magnitude and determinants of pica behavior in this high-risk population and its possible association with iron status, a longitudinal cohort study was undertaken in a cohort of healthy, racially diverse, urban pregnant adolescents.

Participants and Methods

Population.

Pica behavior was evaluated in a cohort of 158 pregnant adolescents (aged ≤18 y) who were recruited from the Rochester Adolescent Maternity Program clinic in Rochester, New York (2006–2009). Adolescents were enrolled into 2 studies examining maternal and fetal bone health and iron status across pregnancy. Data on vitamin D status, bone turnover markers, placental mineral transporters, and fetal bone growth in these adolescents were published previously (2733). Detailed data on iron status in this population across gestation were also published recently (34).

All participants were healthy, carrying a single fetus, and between 12 and 30 wk of gestation at entry into the study. Adolescents with HIV, diabetes, eating disorders, malabsorption diseases, self-reported substance abuse, or other medical complications were not eligible to participate. Adolescents with high-risk pregnancies, including those with current substance abuse, were not followed at the Rochester Adolescent Maternity Program clinic. Informed written consent was obtained for each participant and their parent/guardian if they were aged ≤14 y. The study was approved by the Institutional Review Boards of Cornell University and the University of Rochester.

Data collection.

Participants attended up to 3 study visits over the course of gestation timed roughly to correspond to early (12–16 wk), middle (21–25 wk), and late (31–35 wk) gestation. Of the 158 participants, 4.5% attended only 1 study visit, 28.8% were seen twice, and 66.7% attended all 3 study visits. At entry into the study, adolescents completed a health survey and self-reported information about their sociodemographic background, medical history, current medications, and cigarette, alcohol, and drug use, as reported previously (34). All of the adolescents were given either standard daily prenatal supplements, containing 27 mg of iron, or if they were unable to tolerate these supplements, 2 pediatric supplements, providing them a total of 36 mg of iron. Those diagnosed with anemia during pregnancy were given additional iron supplements, as reported previously (34). At each study visit, dietary iron intake was assessed using 24-h recalls conducted by a health project coordinator. Blood samples were obtained both during pregnancy and at admission into the hospital for delivery in 122 of the 158 adolescents with pica data (77%). In the remaining group, a blood sample was obtained only during pregnancy in 25 adolescents (16%) and only at delivery in 8 adolescents (5%). Three adolescents (2%) did not provide any blood samples. Hematologic data on hemoglobin and hematocrit concentrations, which were obtained as part of standard prenatal care, were abstracted from each adolescent’s medical chart.

Pica behavior assessment.

At each study visit, the health project coordinator asked the adolescents whether they were “craving anything other than food” while collecting information on their 24-h dietary recall. If participants reported that they were craving nonfood items, they were asked to specify which substances they were craving and/or ingesting and to describe their cravings in detail. Although olfactory behaviors (i.e., a desire to smell certain substances, such as gasoline) were not specifically inquired about and were not considered to be pica behavior, if reported, such answers were also noted. Adolescents were classified as having pica if they reported craving or eating a nonfood substance at least once during gestation.

Biochemical analyses.

Serum was isolated from maternal and cord blood samples and was stored at −80°C until analysis. Serum was obtained for analysis of iron status indicators in 93.0% and 82.3% of the 158 adolescents during pregnancy and at delivery, respectively. Serum ferritin (SF), soluble transferrin receptor (sTfR), TBI, hepcidin, erythropoietin, and C-reactive protein (CRP) concentrations were measured in the blood samples. Details of the biochemical assay methods were described in a previous study (34). Adolescents were classified as iron deficient if they had 1 of the following conditions: SF < 12.0 μg/L (13), sTfR > 8.5 mg/L (35), or TBI < 0 mg/kg (13). CRP was only measured in a subset of the participants.

Hemoglobin and hematocrit concentrations were assessed in the Strong Memorial Hospital hematology laboratory (Cell Dyn 4000 system; Abbott Laboratories) using Clinical Laboratory Improvement Amendment–certified procedures. Hemoglobin was typically monitored as part of the clinical care when blood was obtained for analysis of α-fetoprotein at 18 wk of gestation or for glucose tolerance testing at 26–29 wk of gestation. Maternal hemoglobin was measured in whole blood as part of clinical care during trimesters 1 (<14 wk of gestation, n = 93), 2 (14–27.9 wk of gestation, n = 93), and 3 (≥28 wk of gestation, n = 69) in 59%, 59%, and 44% of teens, respectively.

Statistical analysis.

Student’s t tests and Wilcoxon’s rank-sum tests were used to determine the differences in iron status between the pica and non-pica groups. Serum samples were obtained at different gestational time points; therefore, week of gestation was controlled for in logistic regression models examining the relation between pica and iron status markers. Pearson’s χ2 test was used to assess the relation between pica behaviors and categorical variables. A 2-sample test for proportions was used to evaluate the significance of the difference in pica prevalence between trimesters 2 and 3.

Logistic regression models were developed to calculate an OR for pica development by the end of pregnancy, comparing iron-deficient (SF < 12.0 μg/L) and iron-sufficient teens at mid-gestation. Variables that were associated with pica in our bivariate analyses (race, week of gestation, and gynecologic age) (P < 0.10) were controlled as covariates in the model. Inflammation is a known confounder of ferritin and affects iron status assessment (36). Therefore, CRP concentration during pregnancy was also included as a covariate to control for inflammation. The 28 adolescents who did not attend a study visit after their mid-gestation blood draw were excluded from this analysis. All variables associated with pica in our bivariate analyses were also incorporated into a stepwise regression to determine the most appropriate model to predict the development of pica. All statistical analyses were performed using JMP 10.0 (SAS Institute), and the results were considered statistically significant at P < 0.05.

Results

Substances consumed and timing.

Eighteen different pica substances were reported as being ingested (Table 1). Based on the common characteristics of the pica substances reported, these 18 substances were classified into 8 categories: 1) ice; 2) raw starches (flour and cornstarch); 3) powder (dust, vacuum powder from vacuum cleaner bags, and baby powder); 4) soap (soap, bar soap, laundry soap, and powdered cleansers); 5) plastic/foam (stuffing from pillows/sofas and sponges); 6) paper (writing paper, toilet paper, and tissues); 7) baking soda/powder; and 8) other (dirt and chalk). Olfactory cravings reported were pine-scented cleaning agents (n = 2) and gasoline (n = 1).

TABLE 1.

Reported consumption of pica substances in a cohort of pregnant adolescents (n = 158)1

Substance All adolescents Pica-reporting adolescents
% (n) % (n)
Ice 37.3 (59) 81.9 (59)
Starches (flour, cornstarch) 7.6 (12) 16.7 (12)
Powders (dust, vacuum powder, baby powder) 3.8 (6) 8.3 (6)
Soap (soap, bar soap, laundry soap, powdered cleansers) 3.2 (5) 6.9 (5)
Paper (regular paper, toilet paper, tissues) 2.5 (4) 5.6 (4)
Plastic/foam (stuffing from pillow/sofas, sponges) 1.9 (3) 4.2 (3)
Baking soda/powder 1.3 (2) 2.8 (2)
Olfactory (pine-scented cleaning agents, gasoline) 1.9 (3) 4.1 (3)2
Dirt, chalk 1.3 (2) 2.8 (2)
1

Adolescents could report ingesting >1 pica substance.

2

This percentage includes 1 adolescent who only reported olfactory cravings and, therefore, was not included in the pica group.

Forty-six percent of the adolescents (72 of 158) reported engaging in pica behavior at least once during pregnancy. Among those who reported pica behavior, 94.5% consumed nonfood substances only, whereas 4.1% consumed nonfood substances and also reported olfactory cravings. One adolescent reported having an olfactory craving only, so she was considered to be part of the non-pica group. Only 1 of the 11 adolescents who enrolled during trimester 1 (≤13 wk of gestation) reported pica behavior during trimester 1. One hundred twelve adolescents were surveyed in trimester 2 (weeks 14–26 of gestation), 21.4% of whom craved nonfood substances, and 41.8% of those surveyed in trimester 3 (n = 146) engaged in pica behavior during this trimester of pregnancy (week 27 of gestation to delivery). The prevalence of pica during trimester 3 (41.8%) was significantly greater than that in trimester 2 (21.4%) (P < 0.01).

Ice was the most frequently consumed nonfood substance, with 81.9% (59 of 72) of pica-practicing adolescents engaging in pagophagy. Of the 24 adolescents who consumed nonfood substances during trimester 2, 87.5% ingested ice. During trimester 3 of pregnancy, 82.0% of the 61 adolescents engaging in pica behavior reported consuming ice. After ice, starches were most frequently ingested, with 8.3% and 16.4% of pica-practicing adolescents reporting consumption of this substance in trimesters 2 and 3, respectively. Although most adolescents engaged in only 1 type of pica behavior, 23.6% of the pica-practicing participants reported craving >1 type of substance.

Pagophagic behavior did not appear to be influenced by season. Of the 30 adolescents who reported pagophagy only once, 11 (37%) reported this behavior during the summer months of June, July, August, and September, whereas 63% reported the behavior during winter, spring, or autumn. This 37% is not significantly higher than the expected 33% based on the fact that the summer months account for one-third of the entire year (P = 0.75). Looking at the 29 adolescents who reported pagophagy more than once during their pregnancies, only 3 adolescents reported pagophagy during the summer only.

Study population and sociodemographic characteristics by pica behavior.

Table 2 shows the characteristics of the teen mothers who participated in the study. The majority of study participants had health insurance (90%) and were participating in the Women, Infants, and Children assistance program (73%). At enrollment in the study, 11% (n = 17) of the participants self-reported current use of cigarettes. The mean week of gestation at entry to prenatal care was 10.5 ± 4.7 wk (95% CI: 2.0–24.0 wk), and mean week of gestation at enrollment was 21.7 ± 5.5 wk. In this group of adolescents, the self-reported frequency of prenatal supplement use was as follows: 1) daily use (44%); 2) 2–5 times per week (26%); 3) once per week (19%); 4) occasionally (3%); 5) very rarely (3%); and 6) never (5%). No significant differences were observed between the pica and non-pica groups in those who self-reported >2–5 times/wk use vs. those who self-reported taking these <1 time/wk (P = 0.18).

TABLE 2.

Characteristics of the pregnant adolescents by pica behavior (n = 158)1

Characteristics Overall Pica Non-pica P
Age, y 17.1 ± 1.1 [158] 17.0 ± 1.2 [72] 17.2 ± 1.0 [86] 0.30
Gynecologic age, y 4.8 ± 1.8 [152] 4.3 ± 1.9 [71] 5.2 ± 1.7 [81] <0.05
Entry into prenatal care, wk of gestation 10.5 ± 4.7 [137] 11.3 ± 5.4 [62] 9.8 ± 4.0 [75] 0.08
Race,2 n 158 72 86 0.03
 Caucasian, % 35 34 66
 African-American, % 65 52 48
Ethnicity,3 n 158 72 86 0.51
 Hispanic, % 25 41 59
 Non-Hispanic,% 75 47 53
Parity, n 158 72 86 0.14
 0, % 91 87 94
 ≥1, % 9 13 6
Pre-pregnancy BMI, kg/m2 24.8 ± 5.4 [154] 24.8 ± 6.1 [70] 24.7 ± 4.8 [84] 0.64
Daily iron intake, mg 18.6 ± 9.7 [156] 17.9 ± 7.0 [72] 19.3 ± 11.5 [84] 0.53
 EAR (≤23 mg/d),4 % 76 82 70 0.09
Gestational weight gain, kg 17.0 ± 7.9 [150] 17.5 ± 9.0 [70] 16.6 ± 7.0 [80] 0.77
1

Data are means ± SDs [n] unless otherwise indicated. EAR, estimated average requirement.

2

Reported as percentage of participants in each race category that engaged in pica or did not engage in pica.

3

Reported as percentage of participants in each ethnicity category that engaged in pica or did not engage in pica.

4

For pregnancy in those aged 14–18 y.

No significant differences in terms of maternal characteristics [maternal age, P = 0.30; ethnicity, P = 0.51; gravidity, P = 0.70 (data not shown); parity, P = 0.14; pre-pregnancy BMI, P = 0.64; and gestational weight gain, P = 0.77] or sociodemographic background [health insurance coverage, P = 0.93; participation in public assistance programs, P = 0.17; level of education, P = 0.40; and history of smoking, P = 0.97 (data not shown)] were found between those who exhibited pica behavior and those who did not. No significant differences were noted between the pica and non-pica group in terms of the proportion of teens who reported taking prenatal supplements every day at each of the 3 visits (data not shown). However, participants who consumed nonfood substances had a significantly lower mean gynecologic age at conception than those who did not (4.3 ± 1.9 vs. 5.2 ± 1.7 y, P = 0.004). In these adolescents, pica was associated with both gynecologic age and iron status. Gynecologic age was also independently associated with iron status; therefore, iron status was a potential confounder of the pica–gynecologic age relation. Because TBI was significantly lower in the pica group than in the non-pica group (2.5 ± 4.2 vs. 4.3 ± 3.5 mg/kg, P = 0.005), mid-gestation TBI was factored into a logistic regression of pica and gynecologic age, and the relation between gynecologic age and pica remained significant (P = 0.03).

A significantly larger proportion of African-American teens reported pica behavior than did Caucasian teens [52% (n = 102) vs. 34% (n = 56), P = 0.03] (Table 2). To characterize the potential differences in maternal sociodemographic and iron status characteristics associated with pica behavior between these 2 groups, we looked at gynecologic age at conception, week of gestation at enrollment, anemia prevalence in each trimester, and SF at mid-gestation when week of gestation was factored into the model. No significant differences in these characteristics were found between African-American and Caucasian adolescents.

Iron status.

Bivariate analyses indicated significant differences in iron status between those who reported pica behavior compared with those who did not report it. Specifically, SF, TBI, and hepcidin concentrations were significantly lower in the pica group than those observed among the non-pica cohort during pregnancy (Table 3). When week of gestation was controlled for, SF (P = 0.007), TBI (P = 0.02), and hepcidin (P = 0.04) concentrations in the pica group remained significantly lower than those in the non-pica group. Erythropoietin concentrations at mid-gestation were higher in the pica group than in the non-pica group; the difference approached significance (P = 0.07). When week of gestation was controlled for, this difference was not significant (P = 0.12).

TABLE 3.

Iron status as a function of pica behavior among pregnant adolescents (n = 158)1

Pica (n = 72) Non-pica (n = 86) P
Hemoglobin2
 Trimester 1 (<14.0 wk), g/dL 12.4 ± 1.1 [39] 12.5 ± 0.9 [54] 0.54
  Anemic 7.7 [3] 0 [0] 0.04
 Trimester 2 (14.0–27.9 wk), g/dL 11.2 ± 1.0 [49] 11.4 ± 0.8 [44] 0.46
  Anemic 6.3 [3] 4.6 [2] 0.72
 Trimester 3 (≥28.0 wk), g/dL 11.1 ± 1.4 [35] 11.4 ± 1.2 [34] 0.36
  Anemic 20.6 [7] 20.6 [7] 1.0
Ferritin
 Mid-gestation, μg/L 13.6 (11.0, 17.0) [69] 21.1 (18.0, 25.0) [78] 0.002
  <12 μg/L 36.2 [25] 18.0 [14] 0.01
 Delivery, μg/L 17.0 (13.9, 20.7) [63] 21.8 (18.5, 25.8) [67] 0.06
  <12 μg/L 25.4 [16] 19.4 [13] 0.41
sTfR
 Mid-gestation, mg/L 4.5 (4.1, 5.1) [69] 4.2 (3.8, 4.8) [78] 0.40
  >8.5 mg/L 8.7 [6] 5.1 [4] 0.39
 Delivery, mg/L 5.5 (4.8, 6.4) [63] 4.5 (3.9, 5.2) [67] 0.03
  >8.5 mg/L 23.8 [15] 6.0 [4] 0.01
Total body iron
 Mid-gestation, mg/kg 2.5 ± 4.2 [69] 4.3 ± 3.5 [78] 0.005
  <0 mg/kg 18.8 [13] 11.5 [9] 0.22
 Delivery, mg/kg 2.6 ± 4.0 [63] 4.2 ± 3.3 [67] 0.01
  <0 mg/kg 22.2 [14] 10.5 [7] 0.07
Hepcidin
 Mid-gestation, μg/L 19.1 (16.3, 22.2) [65] 27.1 (23.1, 32.1) [73] 0.002
  <5.0 μg/L 4.4 [3] 5.2 [4] 0.83
 Delivery, μg/L 25.3 (20.1, 31.8) [59] 34.1 (27.9, 41.7) [60] 0.05
  <5.0 μg/L 4.8 [3] 10.5 [7] 0.33
EPO, mlU/mL
 Mid-gestation 30.6 (26.8, 35.2) [67] 26.3 (24.0, 29.1) [77] 0.08
 Delivery 28.5 (24.0, 33.8) [61] 25.0 (22.0, 28.5) [64] 0.22
CRP, mg/L
 Mid-gestation 4.3 (3.3, 5.8) [58] 3.5 (2.6, 4.7) [54] 0.28
1

Data are means ± SDs [n] or % [n] for hemoglobin and total body iron and geometric means (95% CIs) [n] or % [n] for ferritin, sTfR, hepcidin, EPO, and CRP. CRP, C-reactive protein; EPO, erythropoietin; mIU, milli-International Units; sTfR, soluble transferrin receptor.

2

Anemia (unadjusted) defined as hemoglobin < 11.0 g/dL in trimesters 1 and 3 and hemoglobin < 10.5 g/dL in trimester 2; hemoglobin cutoffs adjusted (−0.8 g/dL) for African-American adolescents (54).

At delivery, TBI remained significantly lower in teens reporting pica behavior (P = 0.01). The difference in sTfR at delivery between the 2 groups was also significant, with the pica group having higher concentrations than the non-pica group (P = 0.03). The observed differences in iron status indicators did not appear to be due to variations in inflammatory status between groups, because there were no significant differences in CRP between the 2 groups.

In a logistic model of pica that incorporated race, gynecologic age at conception, week of gestation, and CRP at mid-gestation, there was no significant difference in the odds of reporting pica behavior at the last visit between adolescents who had depleted iron stores (SF < 12.0 μg/L) compared with those who were iron replete at mid-gestation [OR = 1.9 (95% CI: 0.7, 5.1), n = 100] (Supplemental Table 1). Furthermore, a bivariate analysis found no significant difference in the odds of reporting pica at the first study visit (22.2 ± 5.7 wk) between those with hemoglobin < 10.5 g/dL and those with hemoglobin ≥ 10.5 g/dL at their first prenatal visit, which occurred at 9.5 ± 2.0 wk of gestation [OR = 3.8 (95% CI: 0.7, 21.4), n = 140].

Discussion

Nearly half of the pregnant adolescents surveyed engaged in pica behavior during pregnancy, and they craved or consumed a total of 18 different nonfood substances. Pagophagy was by far the most common form of pica behavior; 82% of adolescents who reported pica behavior craved and consumed ice. Based on multiple iron status indicators, those who reported pica behavior were found to have a significantly lower iron status during pregnancy than those who did not. These data are unique and support previous findings of greater iron deficiency by pica behavior in pregnant women (10, 37, 38).

Although multiple studies found a relation between pica behavior and iron deficiency, few of those studies measured more than hemoglobin and/or hematocrit (10, 38, 39). Our study is unique in that we examined a panel of iron status indicators and obtained longitudinal data on pica behavior and iron status across gestation. Participants who exhibited pica behavior had significantly lower SF, TBI, and hepcidin during pregnancy than those who did not practice pica behavior. They also had lower TBI at delivery than did the non-pica group, and the difference in sTfR approached significance.

Although data on the prevalence of pica behavior among adolescents or pregnant women are limited, the 46% prevalence of pica behavior observed in these pregnant adolescents is within the range of previous survey data from pregnant adult women in North America. The prevalence of pica behavior in this population was reported to vary from 8.1% (in 553 African-American women attending prenatal care in Washington, DC) (37) to 76.5% (in a group of 281 pregnant women from Houston, Texas, the majority of whom were African American) (10). Our finding of greater prevalence of pica behavior among African Americans than among Caucasians (52% vs. 34%) is consistent with data from other racially diverse populations in which African Americans were more likely than Caucasians to engage in pica behavior (9, 39, 40). However, it is important to note that a substantial proportion of both racial groups engaged in this behavior.

Similar to the other pica studies in the United States, the most commonly consumed substance by these pregnant adolescents was ice, with 38% of all participants and 81% of those practicing pica consuming ice (9, 10, 37, 40). The prevalence of pagophagy reported in other American pica studies ranged from 3.8% to 53.7% (9, 10, 37, 40). Amylophagy was the second most common pica behavior, with 16.0% of pica-practicing adolescents consuming some form of raw starch. Starch ingestion was often reported in other pica studies performed in the United States, and a few studies found starch to be the most commonly consumed substance (1, 4143), which may be in part due to the accessibility of raw starches, such as flour and cornstarch, in most households.

Cravings for the other less common substances, such as sponges, baking soda, powder, paper, and cleaning products, were reported in previous U.S. pica studies (10, 44). Olfactory cravings for gasoline and pine-scented cleaning products was also reported in a study in the Midwestern United States (44). Although this is not considered to be a pica behavior, Cooksey (44) found that the characteristics of these olfactory cravings were similar to those of pica cravings, because they were very strong and specific.

Our data are supportive of the hypothesis that iron deficiency is related to pica, although the specific etiology remains unclear. Adolescents who engaged in pica behavior had significantly lower iron status than those who did not practice pica. A majority of the adolescents who engaged in pica behavior consumed ice, which is not a source of iron, so our findings do not support the hypothesis that pica is an adaptive behavior practiced to restore iron status. Although iron status was significantly associated with pica behavior, causal associations between iron status and pica cannot be determined. Low hemoglobin concentrations (<10.5 g/dL) at entry into prenatal care did not increase the odds of reporting pica at delivery. Similarly, the odds of reporting pica at delivery did not significantly differ between those who were iron deficient vs. those who were iron replete at mid-gestation. For most of the adolescents, study visits did not occur across all 3 trimesters, so it was difficult to track the progression of pica behavior. We were also unable to collect data for every iron status indicator in every participant, because some of the assays were performed only in a subset of the adolescents because of sample volume limitations. This limited the sample size for both the longitudinal analyses and some cross-sectional bivariate analyses, potentially masking significant results. Additional studies are needed to assess the possible impact of iron, zinc, and overall micronutrient status on pica behaviors. Furthermore, we did not ask adolescents to quantify the amount of various nonfood items consumed, nor did we ask adolescents whether they had these pica behaviors before pregnancy, which would have provided additional information relevant to the onset of this behavior.

It is interesting to note that adolescents who engaged in pica behavior had, on average, significantly lower gynecologic ages than those who did not engage in this behavior, even when race and TBI were controlled for (P = 0.05). This indicates that those who engaged in pica behavior were, on average, less biologically mature when they became pregnant, suggesting that they were more likely to still be growing and to have higher iron demands than the non-pica group.

Although iron deficiency was associated with pica in our participants, iron and zinc deficiencies frequently coexist. Zinc deficiency was also posited as an underlying cause of pica (4549). Zinc deficiency is known to affect appetite and eating behavior (50). Several studies found that zinc deficiency is associated with an altered sense of taste and decreased taste acuity that can be reversed by zinc supplementation (5153). Underlying zinc deficiency could be altering the adolescents’ taste perception and, therefore, could be related to their pica behaviors. Our samples were not collected in zinc-free tubes so we are not able to assess possible associations between zinc status and the outcomes measured.

Given the prevalence of pica in our study population, our findings underscore the importance of screening for pica by medical practitioners, because ingesting cleaning products, couch stuffing, vacuum powder, chalk, and sponges may be harmful. Pica behavior was also strongly associated with iron deficiency, which by itself is known to affect birth outcomes during pregnancy. Additional studies are needed to examine the mechanisms responsible for this association, and additional longitudinal studies are needed to elucidate the etiology of this behavior and interventions to prevent ingestion of possibly toxic substances during gestation.

Supplementary Material

Online Supporting Material

Acknowledgments

The authors thank Tera R. Kent for general laboratory assistance. K.O.O. designed the research; K.O.O., S.L., E.C., R.G., and E.P. conducted the research; R.A.L. performed the statistical analyses; R.A.L. wrote the paper; and K.O.O. and S.L.Y. had primary responsibility for the final content. All authors read and approved the final manuscript.

Footnotes

6

Abbreviations used: CRP, C-reactive protein; SF, serum ferritin; sTfR, soluble transferrin receptor; TBI, total body iron.

References

  • 1.Young SL. Pica in pregnancy: new ideas about an old condition. Annu Rev Nutr 2010;30:403–22. [DOI] [PubMed] [Google Scholar]
  • 2.Young SL. Craving earth: understanding pica—the urge to eat clay, starch, ice, and chalk. New York: Columbia University Press; 2011. [Google Scholar]
  • 3.Parry-Jones B, Parry-Jones WL. Pica: symptom or eating disorder? A historical assessment. Br J Psychiatry 1992;160:341–54. [DOI] [PubMed] [Google Scholar]
  • 4.Young SL, Sherman PW, Lucks JB, Pelto GH. Why on earth?: evaluating hypotheses about the physiological functions of human geophagy. Q Rev Biol 2011;86:97–120. [DOI] [PubMed] [Google Scholar]
  • 5.Reynolds RD, Binder HJ, Miller MB, Chang WWY, Horan S. Pagophagia and iron deficiency anemia. Ann Intern Med 1968;69:435–40. [DOI] [PubMed] [Google Scholar]
  • 6.Woods SC, Weisinger RS. Pagophagia in the albino rat. Science 1970;169:1334–6. [DOI] [PubMed] [Google Scholar]
  • 7.Keith D, Keith L, Berger GS, Foot J, Webster A. Amylophagia during pregnancy: some maternal and perinatal correlations. Mt Sinai J Med 1975;42:410–4. [PubMed] [Google Scholar]
  • 8.Vermeer DE, Frate DA. Geophagia in rural Mississippi: environmental and cultural contexts and nutritional implications. Am J Clin Nutr 1979;32:2129–35. [DOI] [PubMed] [Google Scholar]
  • 9.Smulian JC, Motiwala S, Sigman RK. Pica in a rural obstetric population. South Med J 1995;88:1236–40. [DOI] [PubMed] [Google Scholar]
  • 10.Rainville AJ. Pica practices of pregnant women are associated with lower maternal hemoglobin level at delivery. J Am Diet Assoc 1998;98:293–6. [DOI] [PubMed] [Google Scholar]
  • 11.Bothwell TH. Iron requirements in pregnancy and strategies to meet them. Am J Clin Nutr 2000;72:257S–64S. [DOI] [PubMed] [Google Scholar]
  • 12.Picciano MF. Pregnancy and lactation: physiological adjustments, nutritional requirements and the role of dietary supplements. J Nutr 2003;133:1997S–2002S. [DOI] [PubMed] [Google Scholar]
  • 13.Mei Z, Cogswell ME, Looker AC, Pfeiffer CM, Cusick SE, Lacher DA, Grummer-Strawn LM. Assessment of iron status in US pregnant women from the National Health and Nutrition Examination Survey (NHANES), 1999–2006. Am J Clin Nutr 2011;93:1312–20. [DOI] [PubMed] [Google Scholar]
  • 14.Delisle H. Nutrition in adolescence: issues and challenges for the health sector: issues in adolescent health and development. In: WHO institutional repository for information sharing. Geneva: World Health Organization; 2005.
  • 15.Looker AC, Dallman PR, Carroll MD, Gunter EW, Johnson CL. Prevalence of iron deficiency in the United States. JAMA 1997;277:973–6. [DOI] [PubMed] [Google Scholar]
  • 16.Zganjer V, Zganjer M, Cizmić A, Pajid A, Zupancić B. Suicide attempt by swallowing sponge or pica disorder: a case report. Acta Medica (Hradec Kralove) 2011;54:91–3. [PubMed] [Google Scholar]
  • 17.Stein DJ, Bouwer C, van Heerden B. Pica and the obsessive-compulsive spectrum disorders. S Afr Med J 1996;86(Suppl 12):1586–8. [PubMed] [Google Scholar]
  • 18.Piazza CC, Hanley GP, Fisher WW. Functional analysis and treatment of cigarette pica. J Appl Behav Anal 1996;29:437–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Mace FC, Knight D. Functional analysis and treatment of severe pica. J Appl Behav Anal 1986;19:411–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Ausman J, Ball TS, Alexander D. Behavior therapy of pica with a profoundly retarded adolescent. Ment Retard 1974;12:16–8. [Google Scholar]
  • 21.Starn AL, Udall JN. Iron deficiency anemia, pica, and restless legs syndrome in a teenage girl. Clin Pediatr (Phila) 2008;47:83–5. [DOI] [PubMed] [Google Scholar]
  • 22.Kolthof HJ, van Weel EA. “My daughter eats my mattress!”—a patient with pica. Tijdschr Psychiatr 2008;50:185–9. [PubMed] [Google Scholar]
  • 23.Hackworth SR, Williams LL. Pica for foam rubber in patients with sickle cell disease. South Med J 2003;96:81–3. [DOI] [PubMed] [Google Scholar]
  • 24.Brown WD, Dyment PG. Pagophagia and iron deficiency anemia in adolescent girls. Pediatrics 1972;49:766–7. [PubMed] [Google Scholar]
  • 25.Nicoletti A. Pica when you least expect it. J Pediatr Adolesc Gynecol 2003;16:173–4. [DOI] [PubMed] [Google Scholar]
  • 26.Choure J, Quinn K, Franco K. Baking-soda pica in an adolescent patient. Psychosomatics 2006;47:531–2. [DOI] [PubMed] [Google Scholar]
  • 27.Young BE, McNanley TJ, Cooper EM, McIntyre AW, Witter F, Harris ZL, O'Brien KO. Vitamin D insufficiency is prevalent and vitamin D is inversely associated with parathyroid hormone and calcitriol in pregnant adolescents. J Bone Miner Res 2012;27:177–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Young MF, Griffin I, Pressman E, McIntyre AW, Cooper E, McNanley T, McNanley T, Harris ZL, Westerman M, O'Brien KO. Utilization of iron from an animal-based iron source is greater than that of ferrous sulfate in pregnant and nonpregnant women. J Nutr 2010;140:2162–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Jaacks LM, Young MF, Essley BV, McNanley TJ, Cooper EM, Pressman EK, McIntyre AW, Orlando MS, Abkowitz JL, Guillet R, et al. Placental expression of the heme transporter, feline leukemia virus subgroup C receptor, is related to maternal iron status in pregnant adolescents. J Nutr 2011;141:1267–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Young BE, McNanley TJ, Cooper EM, McIntyre AW, Witter F, Harris ZL, O’Brien KO. Maternal vitamin D status and calcium intake interact to affect fetal skeletal growth in utero in pregnant adolescents. Am J Clin Nutr 2012;95:1103–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Young MF, Griffin I, Pressman E, McIntyre AW, Cooper E, McNanley T, Harris ZL, Westerman M, O’Brien KO. Maternal hepcidin is associated with placental transfer of iron derived from dietary heme and nonheme sources. J Nutr 2012;142:33–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Young MF, Pressman E, Foehr ML, McNanley T, Cooper E, Guillet R, Orlando M, McIntyre AW, Lafond J, O’Brien KO. Impact of maternal and neonatal iron status on placental transferrin receptor expression in pregnant adolescents. Placenta 2010;31:1010–4. [DOI] [PubMed] [Google Scholar]
  • 33.O’Brien KO, Li S, Cao C, Kent T, Young BV, Queenan RA, Pressman EK, Cooper EM. Placental CYP27B1 and CYP24A1 expression in human placental tissue and their association with maternal and neonatal calcitropic hormones. J Clin Endocrinol Metab 2014;99:1348–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Lee S, Guillet R, Cooper EM, Westerman M, Orlando M, Pressman E, O’Brien KO. Maternal inflammation at delivery impacts assessment of maternal iron status. J Nutr. In press 2014. [DOI] [PubMed] [Google Scholar]
  • 35.Akesson A, Bjellerup P, Berglund M, Bremme K, Vahter M. Serum transferrin receptor: a specific marker of iron deficiency in pregnancy. Am J Clin Nutr 1998;68:1241–6. [DOI] [PubMed] [Google Scholar]
  • 36.Lipschitz DA, Cook JD, Finch CA. A clinical evaluation of serum ferritin as an index of iron stores. N Engl J Med 1974;290:1213–6. [DOI] [PubMed] [Google Scholar]
  • 37.Edwards CH, Johnson AA, Knight EM, Oyemade UJ, Cole OJ, Westney OE, Jones S, Laryea H, Westney LS. Pica in an urban environment. J Nutr 1994;124(Suppl 6):954S–62S. [DOI] [PubMed] [Google Scholar]
  • 38.Young SL, Khalfan SS, Farag TH, Kavle JA, Ali SM, Hajji H, Rasmussen KM, Pelto GH, Tielsch JM, Stoltzfus RJ. Association of pica with anemia and gastrointestinal distress among pregnant women in Zanzibar, Tanzania. Am J Trop Med Hyg 2010;83:144–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Barton JC, Barton JC, Bertoli LF. Pica associated with iron deficiency or depletion: clinical and laboratory correlates in 262 non-pregnant adult outpatients. BMC Blood Disord 2010;10:9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Corbett RW, Ryan C, Weinrich SP. Pica in pregnancy: does it affect pregnancy outcomes? MCN Am J Matern Child Nurs 2003;28:183–9, quiz 190–1. [DOI] [PubMed] [Google Scholar]
  • 41.Gladfelter J, Einspruch B, Black B. The study of pica and food preferences in a post partum general hospital population. Tex Rep Biol Med 1960;18:202–4. [PubMed] [Google Scholar]
  • 42.Payton E, Crump EP, Horton CP. Growth and development. VII. Dietary habits of 571 pregnant southern Negro women. J Am Diet Assoc 1960;37:129–36. [PubMed] [Google Scholar]
  • 43.Posner LB, McCottry CM, Posner AC. Pregnancy craving and pica. Obstet Gynecol 1957;9:270–2. [PubMed] [Google Scholar]
  • 44.Cooksey NR. Pica and olfactory craving of pregnancy: how deep are the secrets? Birth 1995;22:129–37. [DOI] [PubMed] [Google Scholar]
  • 45.Singhi S, Ravishanker R, Singhi P, Nath R. Low plasma zinc and iron in pica. Indian J Pediatr 2003;70:139–43. [DOI] [PubMed] [Google Scholar]
  • 46.Lofts RH, Schroeder SR, Maier RH. Effects of serum zinc supplementation on pica behavior of persons with mental retardation. Am J Ment Retard 1990;95:103–9. [PubMed] [Google Scholar]
  • 47.Cavdar AO, Arcasoy A, Cin S, Babacan E, Gözdasoğlu S. Geophagia in Turkey: iron and zinc deficiency, iron and zinc absorption studies and response to treatment with zinc in geophagia cases. Prog Clin Biol Res 1983;129:71–97. [PubMed] [Google Scholar]
  • 48.Danford DE, Smith JC, Huber AM. Pica and mineral status in the mentally retarded. Am J Clin Nutr 1982;35:958–67. [DOI] [PubMed] [Google Scholar]
  • 49.Cavdar AO, Arcasoy A, Cin S, Gümüs H. Zinc deficiency in geophagia in Turkish children and response to treatment with zinc sulphate. Haematologica 1980;65:403–8. [PubMed] [Google Scholar]
  • 50.Essatara MB, Levine AS, Morley JE, McClain CJ. Zinc deficiency and anorexia in rats: normal feeding patterns and stress induced feeding. Physiol Behav 1984;32:469–74. [DOI] [PubMed] [Google Scholar]
  • 51.Prasad AS. Zinc deficiency in women, infants and children. J Am Coll Nutr 1996;15:113–20. [DOI] [PubMed] [Google Scholar]
  • 52.Mahajan SK, Prasad AS, Lambujon J, Abbasi AA, Briggs WA, McDonald FD. Improvement of uremic hypogeusia by zinc: a double-blind study. Am J Clin Nutr 1980;33:1517–21. [DOI] [PubMed] [Google Scholar]
  • 53.Henkin RI, Bradley DF. Regulation of taste acuity by thiols and metal ions. Proc Natl Acad Sci USA 1969;62:30–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Johnson-Spear MA, Yip R. Hemoglobin difference between black and white women with comparable iron status: justification for race-specific anemia criteria. Am J Clin Nutr 1994;60:117–21. [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

Online Supporting Material

Articles from The Journal of Nutrition are provided here courtesy of American Society for Nutrition

RESOURCES