Food insecurity as a risk factor for preterm birth: a prospective facility-based cohort study in rural Haiti.

INTRODUCTION: Haiti has an estimated neonatal mortality rate of 32/1000 live births, the highest in the Western Hemisphere. Preterm birth and being born small for gestational age (SGA) are major causes of adverse neonatal outcomes worldwide. To reduce preterm birth and infants born SGA, it is important to understand which women are most at risk and how risk varies within countries. There are few studies estimating the prevalence and risk factors for these conditions in Haiti, particularly in rural regions.
METHODS: We conducted a prospective cohort study of pregnant women at a rural tertiary care centre in Haiti from May to December 2017. We collected data during interviews and from the medical record. We built multivariable models to identify risk factors for preterm birth and being born SGA among women who had a facility-based delivery.
RESULTS: 1089 pregnant women delivered at the hospital and were included in this analysis. Median gestational age at delivery was 38 weeks (IQR 36-40). In multivariable analyses, risk factors for preterm birth included maternal age <20 years (adjusted OR (AOR) 1.76, 95% CI 1.14 to 2.72) and >34 years (AOR 1.46, 95% CI 1.01 to 2.11) and severe hunger in the household (AOR 1.57, 95% CI 1.09 to 2.26). Risk factors for SGA were age >34 years (AOR 1.76, 95% CI 1.18 to 2.59), twin pregnancy (AOR 3.28, 95% CI 1.20 to 8.95) and first pregnancy (AOR 1.57, 95% CI 1.12 to 2.23). Number of prior abortions was associated with reduced risk for SGA (AOR 0.41, 95% CI 0.17 to 0.97).
CONCLUSIONS: Food insecurity as a risk factor for preterm birth stands out as an important addition to the understanding of the risk of neonatal morbidity and mortality. This association highlights a potentially important intervention target to improve birth outcomes and suggests that food support has an important role to play for pregnant women who are food insecure in low-income settings. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Preterm birth and infants born small for gestational age (SGA) are major causes of adverse neonatal outcomes worldwide.

A variety of risk factors for preterm birth and being born SGA have been identified, including nutritional, medical, psychosocial and genetic factors, although relatively less is known about risk factors in low-income countries and rural regions, particularly in Haiti.

We conducted a prospective facility-based cohort study of 1089 pregnant women seeking antenatal care in rural Haiti and delivering at a tertiary care centre to identify risk factors for preterm birth and being born SGA.

Age less than 20 or greater than 34 years and severe household food insecurity were independently associated with greater odds of preterm birth among women delivering in a rural tertiary referral hospital in Haiti.

Age greater than 34 years, twin pregnancy and first pregnancy were independently associated with a greater odds of SGA, and number of prior abortions was independently associated with a lower odds of SGA.

Food insecurity as a risk factor for preterm birth stands out as an important addition to the understanding of the risk of neonatal morbidity and mortality.

The association between food insecurity and preterm birth highlights a potentially important intervention target to improve birth outcomes and suggests that food support has an important role to play for pregnant women who are food insecure in low-income settings.

Introduction

Preterm birth (delivery before 37 weeks gestational age) and fetal growth restriction (manifesting as infants born small for gestational age (SGA), defined as below the 10th percentile of weight for their gestational age) are major causes of neonatal morbidity and mortality worldwide, and are accompanied by both short-term and long-term risks.1 2 A recent multicountry analysis estimated that the global preterm birth rate for 2014 was 10.6%, with complications of preterm birth found to be the leading cause of death in children less than 5 years of age.3 A variety of risk factors for preterm birth and SGA have been identified, including nutritional (eg, low pre-pregnancy body mass index, obesity, micronutrient deficiencies), medical (eg, maternal age, diabetes, hypertension, infections, multiple gestations), psychosocial (eg, depression, poverty, substance use) and genetic factors.4 5 Strategies to identify pregnancies at high risk for these outcomes and to intervene on potentially modifiable risk factors are important components of reducing neonatal mortality to less than 12 deaths per 1000 live births in all countries, a key element of Sustainable Development Goal (SDG) 3—to ensure healthy lives and promote well-being for all people at all ages—set by the United Nations in 2015.6

Haiti has an estimated neonatal mortality rate of 32 deaths per 1000 live births, the highest in the Latin America and Caribbean region.7 The prevalence of newborns with low-birth weight (LBW, birth weight below 2500 mg) in Haiti is estimated to be 16.6%, although this figure is based primarily on household recall rather than birth record.7 There are no available national data regarding preterm birth in Haiti, with reported estimates limited to modelling studies based on other indicators.3 8 Two retrospective studies have evaluated the prevalence and risk factors for LBW and preterm birth in urban Haiti, although these have been limited by small size and lack of multivariable analyses,9 10 with one finding that dietary factors and hypertension were associated with preterm birth.9 In this study, we sought to better estimate risk factors of preterm birth and SGA in a rural region of Haiti.

Methods

Setting and population

This study is a secondary analysis of a facility-based prospective observational cohort study of pregnant women seeking routine antenatal care at Hôpital Universitaire de Mirebalais (HUM). It was originally conducted to assess for the prevalence of Zika, chikungunya and dengue in pregnant women. HUM is a rural tertiary care centre in the town of Mirebalais in the Centre Department of Haiti. HUM is managed by Partners In Health/Zanmi Lasante in collaboration with the Haitian Ministry of Health. The primary catchment area of HUM contains approximately 180 000 people and includes the communes of Mirebalais, Seau d’Eau and Savanette. HUM offers advanced obstetrical care with eight full-time obstetricians-gynaecologists, ultrasounds, six operating rooms and a residency training programme. HUM also provides specialist paediatric services, with eight full-time paediatricians, a neonatal intensive care unit and a residency training programme. There are approximately 600 prenatal clinic visits and 500 deliveries per month at HUM, 25% of which are caesarean sections.

Women were eligible for the study if they were aged 16 years or older, pregnant with laboratory confirmation, seeking antenatal care at HUM and residing within the catchment area of HUM. All women who met eligibility criteria were recruited for participation. This analysis was restricted to the participants who delivered at HUM. Study participants received a transportation stipend of 150 Haitian Gourdes (approximately $1.90) at enrolment and again if they returned to HUM for delivery. As part of routine antenatal services at HUM, women were encouraged to have four antenatal visits prior to delivery and to return for a facility delivery.

Data

Participants were enrolled from May to December 2017. We collected study data through participant interviews and from the medical record.

At the time of enrolment, we conducted a structured survey assessment, collecting information about the participant’s age, residential locality, history of alcohol use and obstetrical history (number of prior pregnancies, live births, stillbirths, miscarriages and abortions). We calculated the distance from the centre of the participant’s locality to HUM in kilometres and included this variable as a continuous variable in our analysis. We used a previously validated poverty scorecard based on 11 indicators and specific to Haiti to estimate the probability (from 0 to 1) that a participant’s household had consumption below the national poverty line of 83.39 Haitian Gourdes per day (approximately $1).11 These indicators include the household’s administrative department, number of household members, number of household members aged 10 years or older who work, whether the female head of household works, whether the male and female heads of household can read and write, roof material, source of drinking water, source of energy for cooking, whether the household has a stove and whether the household has a radio.

We defined an improved roof as not primarily made of thatch, straw or tarp. We defined an improved water source as piped household water, protected wells or springs, or collected rainwater. Finally, we defined an improved energy source for cooking as one other than wood or straw, such as charcoal, propane, electricity, kerosene or solar.

We assessed for food insecurity, defined as a persistent lack of access to food in adequate quantity or quality, in the survey using two measures: the Household Hunger Scale (HHS), a three-item experiential measure of food access that has been shown to be culturally invariant and classifies households as having no hunger, moderate hunger or severe hunger12; and the Food Consumption Score (FCS), a measure of dietary diversity and food access uses recalled consumption frequencies of eight food groups to generate a composite score and classifies households as having acceptable, borderline or poor food security.13

Clinical characteristics were abstracted from the medical record at the time of delivery. Gestational age was calculated as the number of days since the start of the last menstrual period (LMP). Preterm birth was defined as delivery before 37 weeks gestational age, and SGA was defined as weight below the 10th percentile for gestational age. Maternal and fetal birth outcomes were collected for all participants. Apgar scores were calculated at 1 and 5 min after birth.

Statistical analysis

We reported baseline characteristics and outcomes using N (%) for proportional data and median (IQR) for continuous data. We used multivariable analyses to identify risk factors for preterm birth and SGA. For preterm birth, the unit of analysis was the mother, and we built multivariable logistic regression models. For SGA, the unit of analysis was the newborn, and we built a multivariable generalised estimating equations (GEE) model with an exchangeable correlation structure to account for clustering within twin pregnancies. For each outcome, we considered risk factors that were either previously identified in other settings or biologically plausible.4 5 We first calculated unadjusted OR with 95% CI between the baseline characteristics and the outcome. We then incorporated probability of poverty (per 0.1 increase) and all variables correlating in bivariate models with a particular outcome with p<0.2 into the final multivariable model for that outcome. We chose a p<0.2 threshold because it was likely to result in the most plausible risk factors while also adjusting for likely confounders of those risk factors.

Missing data

We unintentionally omitted the question regarding number of household members from the survey form used during the first several months of the study. As a result, this covariate (and the resulting poverty score) is missing for 34% of the participants. There was no missingness for the other baseline characteristics. To account for the missing poverty score, we performed multiple imputation (n=25) by covariate and outcome data using the fully conditional specification method and generated pooled OR with 95% CI.

We performed statistical analysis using SAS V.9.4 (SAS Institute).

Ethics

All participants provided written informed consent.

Patient and public involvement

Patients and the public were not involved in the design, conduct and reporting of this research.

Results

We enrolled 1713 pregnant women presenting for antenatal care between May and December 2017. Of these, 1089 (64%) gave birth at HUM and were included in this analysis (table 1). The median age was 27 years (IQR 23–32), with a median gestational age at enrolment of 24 weeks (IQR 17–30). The vast majority of the participants resided in the Centre Department in towns less than 10 km from HUM and in households with a median of 4 members (IQR 3–6). While there were high rates of poverty and food insecurity among participants, the majority reported having an improved roof, access to an improved water source and an improved energy source for cooking. Participants reported a median of 2 (IQR 0–2) prior pregnancies, and 402 (37%) participants were primigravid.

Table 1

Characteristics of pregnant women who presented to Hôpital Universitaire de Mirebalais (HUM) for antenatal care and returned for facility delivery (n=1089*)

Sociodemographics	N (%) or median (IQR)
Age, median (IQR)	27 (23–32)
Gestational age, median (IQR) (N=880)	24 (17–30)
Mirebalais resident, N (%)	773 (71)
Centre department resident, N (%)	1028 (94)
Distance from locality to hospital (km), median (IQR)	9.0 (7.2–10.6)
No. of household members, median (IQR) (n=724)	4 (3–6)
Improved roof†, N (%)	1038 (95)
Improved water source‡, N (%)	835 (77)
Improved energy source for cooking§, N (%)	815 (75)
Pesticide use in past year, N (%)	131 (12)
Ever consumed alcohol, N (%)	54 (5)
Poverty scorecard, median (IQR) (N=724)
Raw score	57 (46–64)
Probability of poverty¶ (100% National Poverty Line)	0.27 (0.16–0.45)
Food Consumption Score, N (%)
Acceptable	939 (86)
Borderline	111 (10)
Poor	39 (4)
Household Hunger Scale, N (%)
No hunger in household	382 (35)
Moderate hunger in household	326 (30)
Severe hunger in household	381 (35)
No. of living children, N (%)
0	466 (43)
1–3	522 (48)
≥4	101 (9)
Obstetrical history	N (%) or median (IQR)
No. of prior pregnancies, median (IQR)	2 (0–2)
First pregnancy, N (%)	402 (37)
Prior live births, N (%)
0	455 (42)
1–3	523 (48)
≥4	111 (10)
Prior stillbirths (≥1), N (%)	92 (8)
Prior miscarriages (≥1), N (%)	86 (8)
Prior abortions (≥1), N (%)	51 (5)

*Unless otherwise noted.

†Not primarily made of thatch, straw or tarp.

‡Piped household water, protected wells or springs, collected rainwater.

§A source other than wood or straw.

¶Range from 0 to 1.

HUM, Hôpital Universitaire de Mirebalais; km, kilometre.

Characteristics of the participants who enrolled in the study and attended HUM for delivery compared with those who did not attend for delivery will be described in detail in another report.14

Of 1089 participants, 218 (20%) had a caesarean section. There was a total of 1104 infants, with 15 pairs of twins (table 2). There were 1089 (99%) live births, 9 (1%) stillbirths and 6 (1%) live births with neonatal death recorded (defined as death within 28 days of delivery). The median gestational age at delivery was 38 weeks (IQR 36–40), with most deliveries at term (n=621; 64%) and 314 (32%) late preterm, 32 (3%) very preterm and 5 (1%) extremely preterm. The median infant birth weight was 3000 mg (IQR 2710–3300) and 258 (26%) were SGA. Apgar scores were normal for the vast majority of infants at 1 and 5 min after delivery.

Table 2

Birth outcomes for pregnant women who presented to Hôpital Universitaire de Mirebalais (HUM) for antenatal care and returned for facility delivery (N=1089 mothers*; N=1104 infants*)

Caesarean section, N (%)	218 (20)
Gestational age at delivery, median (IQR) (N=972)	38 (36–40)
Gestational age at delivery, N (%) (N=972)
≥37 weeks (term)	621 (64)
32–37 weeks (late preterm)	314 (32)
28–32 weeks (very preterm)	32 (3)
<28 weeks (extreme preterm)	5 (1)
Infant outcomes (N=1104)
Birth outcomes, N (%)
Live birth	1089 (99)
Neonatal death	6 (1)
Stillbirth	9 (1)
Birth weight (mg), median (IQR) (N=1042)	3000 (2710–3300)
Low birth weight†, N (%) (N=1042)	142 (14)
Small for gestational age‡, N (%) (N=977)	258 (26)
Apgar—1 min, N (%) (N=1008)
Normal (≥7)	944 (94)
Low (4–7)	49 (5)
Severely low (<4)	15 (1)
Apgar—5 min, N (%) (N=1008)
Normal (≥7)	981 (97)
Low (4–7)	20 (2)
Severely low (<4)	7 (1)

*Unless otherwise noted.

†<2500 mg.

‡<10% weight by gestational age.

HUM, Hôpital Universitaire de Mirebalais.

In univariable analyses for risk factors for preterm birth, age, pesticide use and HHS met the criteria for inclusion in the multivariable model (table 3). In the multivariable model, compared with age 20–34 years, age less than 20 (AOR 1.76, 95% CI 1.14 to 2.72, p=0.01) and greater than 34 (AOR 1.46, 95% CI 1.01 to 2.11, p=0.044), as well as severe hunger in the household relative to no hunger in the household (AOR 1.57, 95% CI 1.09 to 2.26, p=0.02) were independently associated with a higher odds of preterm birth.

Table 3

Risk factors at antenatal evaluation for preterm birth among pregnant women who presented to Hôpital Universitaire de Mirebalais (HUM) for antenatal care and returned for facility delivery (n=972)

Variable	Unadjusted			Adjusted
	OR	95% CI	P value	AOR	95% CI	P value
Age (years)
<20	1.81	1.18 to 2.76	0.0061	1.76	1.14 to 2.72	0.01
20–34	Ref			Ref
>34	1.45	1.01 to 2.09	0.046	1.46	1.01 to 2.11	0.044
Distance from town to hospital (km)	0.99	0.97 to 1.01	0.23
Probability of poverty*	1.03	0.98 to 1.09	0.24	1.00	0.95 to 1.06	0.88
Pesticide use in the past year	1.48	0.98 to 2.22	0.06	1.39	0.92 to 2.11	0.12
Alcohol use	1.07	0.57 to 2.02	0.83
Twin pregnancy	1.80	0.63 to 5.11	0.27
First pregnancy	1.05	0.82 to 1.34	0.72
No. of prior live births	1.02	0.93 to 1.13	0.64
No. of prior stillbirths	1.01	0.70 to 1.45	0.97
No. of prior miscarriages	0.85	0.55 to 1.32	0.47
No. of prior abortions	0.81	0.41 to 1.61	0.54
Food Consumption Score
Acceptable	Ref
Borderline	1.15	0.73 to 1.81	0.54
Poor	1.17	0.53 to 2.59	0.70
Household Hunger Scale
No hunger	Ref			Ref
Moderate	1.33	0.92 to 1.90	0.13	1.27	0.88 to 1.83	0.21
Severe	1.66	1.18 to 2.34	0.0038	1.57	1.09 to 2.26	0.02

*Per 0.1 increase in probability of household consumption less than one dollar per day.

HUM, Hôpital Universitaire de Mirebalais; km, kilometre.

In univariable analyses for risk factors for infants born with SGA, age, twin pregnancy, first pregnancy, number of prior stillbirths and number of prior abortions met the criteria for inclusion in the multivariable model (table 4). In the multivariable model, age greater than 34 years compared with age 20–34 years (AOR 1.76, 95% CI 1.18 to 2.59, p=0.01), twin pregnancy (AOR 3.28, 95% CI 1.20 to 8.95, p=0.019), first pregnancy (AOR 1.57, 95% CI 1.12 to 2.23, p=0.0085) and number of prior abortions (AOR 0.41, 95% CI 0.17 to 0.97, p=0.044) were independently associated with SGA among infants.

Table 4

Risk factors at antenatal evaluation for an infant being born small for gestational age (SGA) among pregnant women who presented to Hôpital Universitaire de Mirebalais (HUM) for antenatal care and returned for facility delivery (n=972)

Variable	Unadjusted			Adjusted
	OR	95% CI	P value	AOR	95% CI	P value
Age (years)
<20	1.30	0.83 to 2.03	0.25	1.09	0.68 to 1.75	0.72
20–34	Ref			Ref
>34	1.53	1.06 to 2.20	0.024	1.76	1.18 to 2.59	0.01
Distance from town to hospital (km)	1.01	0.99 to 1.02	0.35
Probability of poverty*	1.01	0.94 to 1.08	0.83	1.01	0.96 to 1.07	0.86
Pesticide use in the past year	1.06	0.69 to 1.64	0.78
Twin pregnancy	252	1.08 to 6.08	0.0395	3.28	1.20 to 8.95	0.019
First pregnancy	1.40	1.09 to 1.79	0.0084	1.57	1.12 to 2.23	0.0085
No. of prior live births	0.96	0.86 to 1.06	0.39
No. of prior stillbirths	1.25	0.88 to 1.77	0.20	1.38	0.97 to 1.95	0.077
No. of prior miscarriages	0.80	0.53 to 1.22	0.30
No. of prior abortions	0.40	0.17 to 0.96	0.040	0.41	0.17 to 0.97	0.044
Food Consumption Score
Acceptable	Ref
Borderline	1.21	0.76 to 1.91	0.42
Poor	1.25	0.56 to 2.77	0.59
Household Hunger Scale
No hunger	Ref
Moderate	1.08	0.76 to 1.54	0.65
Severe	0.87	0.62 to 1.24	0.45

*Per 0.1 increase in probability of poverty household consumption less than one dollar per day.

HUM, Hôpital Universitaire de Mirebalais; km, kilometre; SGA, small for gestational age.

Discussion

In this prospective facility-based cohort study of 1089 pregnant women receiving antenatal care and delivering at a tertiary care hospital in rural Haiti, 36% of women had preterm birth, compared with 14%–25% reported in retrospective analyses in urban Haiti,8 10 and 26% of live births resulted in a neonate that was SGA. Although there are no national estimates in Haiti for the prevalence of SGA, a large pooled analysis of nine low-income and middle-income countries found that SGA was observed in 19.3% of live births.15 We found that age less than 20 or greater than 34 years and severe household food insecurity were independently associated with greater risk of preterm birth; that age greater than 34 years, twin pregnancy and first pregnancy were independently associated with greater risk of an infant born SGA; and that number of prior abortions was independently associated with a reduced risk of an infant born SGA.

Among these factors, food insecurity, defined as a persistent lack of access to food in adequate quantity or quality,16 stands out as an important addition to the understanding of the risk of preterm birth. While food insecurity has been closely linked to a number of adverse health outcomes independent of wealth in a variety of settings and through multiple pathways beyond simply nutritional deficiency,16 17 few studies have evaluated the relationship between food insecurity and preterm birth. One recent study of 674 healthy pregnant women in urban Iran found a twofold increase in the odds of preterm birth among mothers living in food insecure households.18 Similarly, a cohort study in urban South Africa found an independent association between food insecurity and gestational age.19 Another study in the USA found an association between food insecurity and preterm birth among parous women.20

There are a number of plausible pathways by which food insecurity may increase risk of preterm birth. Food insecurity is often characterised by extended periods of time without eating, and one study in the USA found an increased risk of preterm birth for women who experienced periods without food longer than 13 hours.21 Food insecurity is associated with worse mental health and an increased stress response during pregnancy,22 23 which in turn are associated with higher risk of preterm birth.24–26 Food insecurity is likewise associated with chronic inflammation,27 28 which is also thought to play a role in preterm birth.29 In some cases, food insecurity may lead to poor maternal nutrition, a well-described risk factor for preterm birth.4 Consequences of food insecurity may be exacerbated during pregnancy because of higher nutrient demands, a greater effort required for food preparation and the possibility that pregnant women are obligated to leave the workforce, especially late in pregnancy.22

The role of food insecurity in preterm birth is especially important in Haiti, one of the most food insecure countries in the world, where more than half of the total population is chronically food insecure.30 31 While the impact of interventions targeting food insecurity on preterm birth in low-income countries has not been extensively studied, food assistance programmes in high-income countries have been associated with a reduction in preterm birth and infant mortality,32 and in this context, our findings suggest that food support has an important role to play for pregnant women who are food insecure in low-income settings. Interventions targeting food insecurity should be evaluated and implemented with a goal of improving birth outcomes, while existing food assistance programming targeting pregnant women (like that by the World Food Programme in Haiti) should be emphasised and strengthened.

The independent association we found between history of abortion and reduced risk of SGA has been previously reported once in a high-income setting and may relate to abortion being a proxy measure for socioeconomic status.33 In Haiti, women with higher socioeconomic status are much more likely to report having had an abortion, with women in the middle wealth quintile having a 3.3 times greater odds of reporting a prior abortion, and women in the top two wealth quintiles having a 7.4 times greater odds, compared with women in the bottom two wealth quintiles.34 Other studies have found a decreased risk of SGA for women from wealthier households.5 Women who have had abortions may also have longer interpregnancy periods, perhaps leaving them healthier or with increased resources during a subsequent pregnancy.

We identified a number of risk factors for preterm birth and SGA that have been reported in other settings, indicating some consistency between rural Haiti and other settings ranging from rural to urban and low to high income. The association between low and high maternal age and preterm birth has been well documented,4 although the underlying reason for this association is unknown. For older mothers, it may relate in part to a higher prevalence of other comorbidities that increase risk of preterm birth, like hypertension, diabetes and thyroid disease.4 High maternal age (potentially for similar reasons as with preterm birth), twin pregnancy (because of shared uterine environment) and first pregnancy (for both social and biological reasons) have all been found to confer increased risk for SGA in settings other than Haiti as well.5

This study is subject to some limitations. Our findings are among women who attended a facility for delivery and may not be generalisable to Haitian women who do not have a facility delivery. Women living in rural Haiti face impoverishment and limited public infrastructure and services, impacting their ability to consistently access healthcare. It is possible that women with high-risk pregnancies are more strongly encouraged to come to HUM for delivery, and thus overall rates of PTB and SGA may not reflect rates in the entire population. In a separate analysis, we found that participants who had a facility delivery had a lower probability of poverty and food insecurity compared with those who did not.14 As a result, there is risk of selection bias attenuating the identified relationship between food insecurity and preterm birth. We do not know the percent of eligible women who participated in the study or the reasons that eligible women who did not participate were not included; this may impact the generalisability of our findings. Because this study was originally intended to assess for arbovirus prevalence in pregnant women, we did not comprehensively collect maternal comorbidities and were unable to determine the specific contributions of these conditions to preterm birth and SGA. We also do not have information about maternal nutrition, which may be an important mediator between food insecurity and preterm birth. There may be additional unmeasured variables that confound the relationships between the risk factors identified in this study and preterm birth or SGA, including length of interpregnancy period, psychosocial stress, mental health, pregnancy-related factors like pre-eclampsia and others.

Conclusions

In conclusion, this observational study of 1089 pregnant women receiving antenatal care and delivering at a rural tertiary care centre is the first to characterise risk factors for preterm birth and SGA in rural Haiti. We found that maternal age less than 20 or greater than 34 years and severe household food insecurity were independently associated with greater risk of preterm birth; that age greater than 34 years, twin pregnancy and first pregnancy were independently associated with greater risk of an infant born SGA; and that number of prior abortions was independently associated with a reduced risk of an infant born SGA. The association between food insecurity and preterm birth highlights a potentially important intervention target to improve birth outcomes as obstetrical services are expanded in resource-limited settings.