Abstract
Objective To examine the association of maternal caffeine intake with fetal growth restriction.
Design Prospective longitudinal observational study.
Setting Two large UK hospital maternity units.
Participants 2635 low risk pregnant women recruited between 8-12 weeks of pregnancy.
Investigations Quantification of total caffeine intake from 4 weeks before conception and throughout pregnancy was undertaken with a validated caffeine assessment tool. Caffeine half life (proxy for clearance) was determined by measuring caffeine in saliva after a caffeine challenge. Smoking and alcohol were assessed by self reported status and by measuring salivary cotinine concentrations.
Main outcome measures Fetal growth restriction, as defined by customised birth weight centile, adjusted for alcohol intake and salivary cotinine concentrations.
Results Caffeine consumption throughout pregnancy was associated with an increased risk of fetal growth restriction (odds ratios 1.2 (95% CI 0.9 to 1.6) for 100-199 mg/day, 1.5 (1.1 to 2.1) for 200-299 mg/day, and 1.4 (1.0 to 2.0) for >300 mg/day compared with <100 mg/day; test for trend P<0.001). Mean caffeine consumption decreased in the first trimester and increased in the third. The association between caffeine and fetal growth restriction was stronger in women with a faster compared to a slower caffeine clearance (test for interaction, P=0.06).
Conclusions Caffeine consumption during pregnancy was associated with an increased risk of fetal growth restriction and this association continued throughout pregnancy. Sensible advice would be to reduce caffeine intake before conception and throughout pregnancy.
Introduction
Caffeine is the most widely consumed xenobiotic in pregnancy, with the potential to adversely affect the developing fetoplacental unit. Maternal caffeine intake has been reported to be associated with a reduction in birth weight,1 2 3 4 5 but the precise level of intake above which the risk is increased remains unknown. Caffeine intake of ≥300 mg/day has been associated with fetal growth restriction,6 7 8 but Vlajinac et al found a significant reduction in infant birth weight of 114 g with maternal caffeine consumption of as little as 141 mg/day.9 More controversially, others have shown that maternal caffeine concentration has an inverse association with birth weight when confounders such as smoking were taken into account.2 10 11 In 2001 the Committee on Toxicity of Chemicals in Food, UK, after a thorough review of the literature, concluded that, although caffeine intake >300 mg/day might be associated with low birth weight and spontaneous miscarriage, the evidence was inconclusive.12
Possible reasons for these inconsistent outcomes include inaccurate estimation of caffeine consumption, including an assumption that tea and coffee are the only sources of caffeine,3 9 10 retrospective assessment of caffeine intake,2 10 13 14 15 assessment of association based on consumption in individual trimesters rather than throughout pregnancy,4 9 10 13 failure to allow for individual variations in caffeine metabolism,4 16 inadequate control for confounding factors such as smoking and alcohol consumption,17 18 and non-uniformity in defining the primary outcome measures.1 2 4 6 9 10 15 16
Caffeine is rapidly absorbed and crosses the placenta freely.19 After ingestion of 200 mg caffeine, intervillous blood flow in the placenta was found to be reduced by 25%.20 Cytochrome P450 1A2, the principal enzyme involved in caffeine metabolism, is absent in the placenta and the fetus.21 The amount of caffeine and metabolites available to the fetoplacental unit therefore depends on the maternal caffeine metabolism, which shows marked variation between individuals because of genetic and environmental factors such as nicotine.22 23 24 Variations in caffeine metabolic activity have been found to be more closely associated with fetal growth restriction than have blood caffeine concentrations.25 Therefore, any comprehensive study of the effects of caffeine on fetal growth must include an assessment of caffeine metabolism.
In order to examine the association of maternal caffeine intake on fetal growth, we used a validated, robust caffeine assessment tool to quantify total caffeine intake, from all possible sources, throughout pregnancy.26 Using these data, and taking into account individual variation in caffeine metabolism, we aimed to establish the safe upper limit of caffeine consumption with respect to adverse pregnancy outcome (specifically fetal growth restriction).
Methods
Participants
We prospectively recruited low risk pregnant women from two large UK teaching hospital maternity units (Leeds and Leicester) from September 2003 to June 2006. The inclusion criteria included age 18-45 years and singleton pregnancies accurately dated by ultrasound. Women with concurrent medical disorders, psychiatric illness, HIV infection, or hepatitis B infection were excluded. We identified eligible women by screening their pre-booking maternity notes, then sent them detailed information about the study and asked them to return a reply slip about their willingness to take part in the study. Personal contacts were then made with those who agreed to participate. This initial visit was conducted at the hospital or at the volunteer’s general practice or home by a clinical research fellow (Leicester) or a midwife (Leicester and Leeds) at 8-12 weeks gestation. Volunteers’ demographic details (age, parity, maternal height, weight, socioeconomic status, and gestational age) were recorded by means of a questionnaire.
Quantification of caffeine intake
Caffeine intake was estimated with a validated caffeine assessment tool, a questionnaire designed at the University of Leeds, to record habitual caffeine intake before and during pregnancy.26 Information in the questionnaire included estimates of caffeine content from all potential dietary sources and over the counter drugs and details of potential confounders such as smoking, alcohol intake, and nausea. We recorded specific brand names, portion sizes, methods of preparation, and quantity and frequency of intake for different gestational periods. We also obtained details of caffeine content for each item from published reports,27 manufacturers, and coffee houses, and, from these, we estimated precise caffeine intakes using an SPSSv14 program developed in-house.26 Three caffeine assessment tools were administered by the clinical research fellow and research midwives to determine caffeine intake in pregnancy—the first, administered at recruitment by the researcher, included aspects of recall of caffeine intake from four weeks before pregnancy until recruitment into the study at 8-12 weeks of pregnancy; the second covered the period 13-28 weeks; and the third included the period 29-40 weeks of pregnancy.
Saliva sample collection, storage, and transport
Saliva samples for determining nicotine exposure (defined as baseline values before the caffeine challenge) were collected from women at recruitment, using a Salivette (Sarstedt, Aktiengesellschaft, Loughborough, UK) kept in the mouth for 5-10 minutes. Additionally, we assessed caffeine half life from a caffeine challenge test (adapted from Butler et al28) performed within two weeks of recruitment. We provided participants with appropriate materials and instructions to perform the test at home, and the samples were then returned in a prepaid envelope. The test involved overnight fasting, followed by the challenge (a drink of 500 ml diet cola containing 63.5 mg caffeine ingested over a period of 20 minutes) with no other caffeine consumed during the challenge. Participants then collected saliva samples about one and five hours after the challenge. Precise sample collection times and details of drinks or food consumed during the test period were recorded on a questionnaire. When samples arrived at the laboratory, saliva was isolated from the Salivettes by centrifugation and stored at −80°C.
Biochemical analyses
All samples were analysed in the Molecular Epidemiology Unit (University of Leeds).
Salivary caffeine—Salivary caffeine was extracted and quantified using liquid:liquid extraction and reversed phase high performance liquid chromatography (HPLC) with ultraviolet detection.26 We calculated the half life for caffeine from salivary caffeine concentrations recorded at one and five hours after the caffeine challenge.
Salivary cotinine—Salivary cotinine concentrations in samples taken at recruitment were quantified by means of enzyme linked immunosorbent assay (ELISA) (Cozart Bioscience, Oxfordshire, UK) according to the manufacturer’s instructions. We then classified participants on the basis of these cotinine concentrations as active smokers (>5 ng/ml), passive smokers (1-5 ng/ml), or non-smokers (<1 ng/ml).29
Pregnancy outcomes
We obtained information on antenatal pregnancy complications and delivery details (gestational age at delivery, birth weight, and sex of the baby) from the electronic maternity databases.
The primary outcome measure was fetal growth restriction defined as birth weight <10th centile on a customised centile chart which takes into account maternal height, weight, ethnicity, and parity and neonatal birth weight and sex (www.gestation.net).30 We chose this definition as it is the most commonly used and because, although not all those cases classified as fetal growth restriction would be pathological, it is likely to include most pathological fetal growth restrictions. In addition, we assessed the association of maternal caffeine intake with birth weight.
Other pregnancy outcomes studied were late miscarriage (spontaneous pregnancy loss between 12 and 24 weeks), preterm delivery (delivery at <37 completed weeks), gestational hypertension (blood pressure ≥140/90 mmHg on more than one occasion 4 hours apart after >20 weeks of pregnancy), proteinuric hypertension (gestational hypertension and proteinuria of ≥300 mg protein in 24 hours, based on the International Society for the Study of Hypertension in Pregnancy31), and stillbirth (delivery ≥24 weeks with no signs of life at birth).
Statistical methods
We expressed participants’ caffeine consumption in mg/day averaged over the whole pregnancy and for the individual trimesters. To estimate the sample size required, we assumed that the mean caffeine intake during pregnancy was 206 mg/day,4 and that caffeine followed a log normal distribution, with a coefficient of variation of 1. Assuming that 10% of births showed fetal growth restriction, then 3000 births would give 80% power to detect a difference of 30 mg/day in caffeine intakes between mothers of babies with restricted fetal growth and mothers of babies of appropriate weight for gestational age with type I error set at 0.05. This also gave 80% power to detect an odds ratio for fetal growth restriction of 1.4 between high and low caffeine consumers (defined as being above or below the median caffeine intake).
We performed unconditional logistic regression modelling for fetal growth restriction and general linear modelling for birth weight, with stratification for the two maternity units, using Stata version 10 survey facilities.32 Maternal height, weight, ethnicity, and parity at booking and neonatal gestation at delivery and sex were taken into account in the definition for fetal growth restriction, and were adjusted for in the model for birth weight. We also made statistical adjustment for salivary cotinine levels and self reported alcohol consumption in all models. We conducted sensitivity analyses to assess the robustness of the results to adjustment for nausea, exclusion of high risk pregnancies, multiparity, extremely high or low caffeine intakes, and the maternity unit.
We also assessed the relation between the risk of fetal growth restriction and maternal caffeine intake during pregnancy by considering caffeine intake as a continuous variable: after adjusting for the factors mentioned above, we performed modelling using the best fitting, second order, fractional polynomial with 95% confidence intervals.
Caffeine half life as assessed by the caffeine challenge test was not normally distributed. We therefore categorised women in relation to the median value as having a shorter half life (faster caffeine clearance from the circulation) or longer half life (slower clearance). We stratified the odds ratio for fetal growth restriction by caffeine half life (as a proxy for clearance) and intake after taking account of maternal age, weight, height, ethnicity, and parity and neonatal gestation and sex and adjusting for smoking status, amount smoked (cotinine concentration), and alcohol intake.
Results
Over a period of three years, 13 071 eligible women were invited to participate from the two maternity units, and 2635 (20%) consented. Table 1 shows the demographic and clinical characteristics of the study population. The prevalence of fetal growth restriction in the cohort was 343/2635 (13%). The mean alcohol intake during pregnancy was 0.4 (95% confidence interval 0 to 9) units/day, with the highest consumption occurring, as might be expected, before conception and during the first four weeks of pregnancy.
Table 1.
Demographic and clinical characteristics of 2635 pregnant women and their babies, according to pregnancy outcome. Values are numbers (percentages) unless stated otherwise
| Pregnancy outcome | |||
|---|---|---|---|
| Fetal growth restriction (n=343) | Appropriate fetal growth (n=2292) | Total (n=2635) | |
| Maternal characteristics | |||
| Mean (SD) age (years) | 30.0 (6.6) | 29.8 (6.5) | 30 (6.6) |
| Mean (SD) weight before pregnancy (kg) | 66.7 (13.2) | 66.8 (12.6) | 66.8 (13.1) |
| Mean (SD) body mass index before pregnancy (kg/m2) | 24.5 (4.5) | 24.5 (4.6) | 24.5 (4.5) |
| Primiparous | 186 (55) | 1042 (46) | 1228 (47) |
| Preterm labour | 29 (8) | 77 (3) | 106 (4) |
| Gestational hypertension or pre-eclampsia | 25 (7) | 42 (2) | 67 (3) |
| Stillbirth | 3 (0.9) | 6 (0.3) | 9 (0.3) |
| Late miscarriage | 3 (0.9) | 16 (0.7) | 19 (0.7) |
| Neonatal characteristics | |||
| Mean (SD) gestational age at delivery (weeks) | 40 (3) | 40 (2) | 40 (2) |
| Mean (SD) birth weight (g) | 2750 (520) | 3560 (470) | 3450 (550) |
| Male | 172 (50) | 1152 (52) | 1324 (51) |
Caffeine intake during pregnancy
The women’s mean caffeine intake during pregnancy was 159 mg/day (table 2). It decreased from 238 mg/day before pregnancy to 139 mg/day between weeks 5 and 12 of pregnancy and remained at about this level until the third trimester, when it gradually increased to 153 mg/day. About 62% of the caffeine ingested by the women during pregnancy was from tea. Other important sources were coffee (14%), cola drinks (12%), chocolate (8%), and soft drinks (2%). Hot chocolate, energy drinks, and alcoholic drinks contributed 2%, 1%, and <1% respectively. Over the counter drugs made a negligible contribution to the total caffeine intake.
Table 2.
Mean caffeine and alcohol intake and smoking status among 2635 pregnant women according to pregnancy outcome. Values are numbers (percentages) unless stated otherwise
| Characteristic | Pregnancy outcome | ||
|---|---|---|---|
| Fetal growth restriction (n=343) | Appropriate fetal growth (n=2292) | Total (n=2635) | |
| Mean (SD) caffeine intake (mg/day): | |||
| Throughout pregnancy | 200 (202) | 153 (145) | 159 (154) |
| First trimester | 201 (206) | 157 (160) | 163 (167) |
| Second trimester | 184 (207) | 141 (144) | 147 (156) |
| Third trimester | 197 (222) | 143 (146) | 153 (164) |
| Caffeine intake during pregnancy: | |||
| <100 mg/day | 122 (36) | 1000 (46) | 1122 (44) |
| 100-199 mg/day | 90 (27) | 601 (27) | 691 (27) |
| 200-299 mg/day | 63 (19) | 313 (14) | 376 (15) |
| ≥300 mg/day | 63 (19) | 284 (13) | 347 (14) |
| Mean (SD) alcohol intake (units/day): | |||
| Throughout pregnancy | 0.4 (0.7) | 0.4 (0.5) | 0.4 (0.6) |
| First trimester | 0.6 (0.9) | 0.4 (0.7) | 0.5 (0.8) |
| Second trimester | 0.2 (0.4) | 0.2 (0.5) | 0.2 (0.5) |
| Third trimester | 0.3(0.4) | 0.2 (0.5) | 0.3 (0.5) |
| Smoking status (n=2509)*: | |||
| Non-smoker | 213 (64) | 1622 (75) | 1835 (73) |
| Passive smoker | 39 (12) | 268 (12) | 307 (12) |
| Current smoker | 79 (24) | 288 (13) | 367 (15) |
*Smoking status based on salivary cotinine concentrations: non-smoker <1 ng/ml, passive smoker 1-5 ng/ml, current smoker >5 ng/ml.
Relation between caffeine intake in pregnancy and fetal growth
The relation between total caffeine intake in pregnancy and fetal growth restriction showed a significant trend with increasing caffeine intake (test for trend P=0.02, table 3). Compared with caffeine intake of <100 mg/day, the odds ratio of having a growth restricted baby increased to 1.2 (95% confidence interval 0.9 to 1.6) for intakes of 100-199 mg/day, to 1.5 (1.1 to 2.1) for intakes of 200-299 mg/day, and to 1.4 (1.0 to 2.0) for intakes of ≥300 mg/day. This relation was consistent across all three trimesters.
Table 3.
Risk of fetal growth restriction among offspring of 2635 pregnant women according to caffeine intake during pregnancy
| Caffeine intake (mg/day) | Unadjusted risk* | Adjusted risk† | |||
|---|---|---|---|---|---|
| Odds ratio (95% CI) | Test for trend | Odds ratio (95% CI) | Test for trend | ||
| Average over pregnancy: | |||||
| <100 | 1 | P<0.001 | 1 | P=0.02 | |
| 100-199 | 1.2 (0.9 to 1.6) | 1.2 (0.9 to 1.6) | |||
| 200-299 | 1.6 (1.2 to 2.3) | 1.5 (1.1 to 2.1) | |||
| ≥300 | 1.8 (1.3 to 2.5) | 1.4 (1.0 to 2.0) | |||
| In weeks 5-12: | |||||
| <100 | 1 | P<0.001 | 1 | P=0.05 | |
| 100-199 | 1.2 (0.9 to 1.6) | 1.1 (0.8 to 1.5) | |||
| 200-299 | 1.4 (1.0 to 2.0) | 1.3 (0.9 to 1.9) | |||
| ≥300 | 1.8 (1.3 to 2.5) | 1.4 (1.0 to 1.9) | |||
| In weeks 13-28: | |||||
| <100 | 1 | P=0.001 | 1 | P=0.02 | |
| 100-199 | 1.5 (1.1 to 2.0) | 1.4 (1.0 to 2.0) | |||
| 200-299 | 1.8 (1.3 to 2.6) | 1.7 (1.2 to 2.4) | |||
| ≥300 | 1.6 (1.1 to 2.4) | 1.3 (0.9 to 2.0) | |||
| In weeks 29-40: | |||||
| <100 | 1 | P<0.001 | 1 | P=0.004 | |
| 100-199 | 1.4 (1.0 to 1.9) | 1.4 (1.0 to 2.0) | |||
| 200-299 | 1.9 (1.3 to 2.8) | 1.8 (1.2 to 2.7) | |||
| ≥300 | 1.9 (1.3 to 2.8) | 1.6 (1.0 to 2.4) | |||
*Unadjusted odds ratios take account of maternal age, weight, height, ethnicity, and parity and neonatal gestational age at delivery and sex.
†Adjusted odds ratios are also adjusted for smoking status (salivary cotinine concentration) and alcohol intake.
Caffeine consumption of >200 mg/day during pregnancy was associated with a reduction in birth weight of about 60-70 g, with a significant trend for greater reduction in birth weight with higher caffeine intake (P=0.004). This relation was consistent across all three trimesters (table 4).
Table 4.
Unadjusted and adjusted linear regression for birth weight among offspring of 2635 pregnant women according to caffeine intake during pregnancy
| Caffeine intake (mg/day) | Unadjusted change in birth weight (g) | Adjusted change in birth weight (g)* | |||
|---|---|---|---|---|---|
| Change (95% CI) | Test for trend | Change (95% CI) | Test for trend | ||
| Average over pregnancy: | |||||
| <100 | 0 | P<0.001 | 0 | P=0.004 | |
| 100-199 | −1 (−51 to 50) | −21 (−62 to 20) | |||
| 200-299 | −63 (−129 to 4) | −70 (−123 to −18) | |||
| ≥300 | −144 (−221 to −66) | −63 (−119 to −6) | |||
| In weeks 5-12: | |||||
| <100 | 0 | P<0.001 | 0 | P=0.009 | |
| 100-199 | −6 (−58 to 45) | −34 (−76 to 8) | |||
| 200-299 | −66 (−134 to 2) | −61 (−112 to −9) | |||
| ≥300 | −144 (−220 to −69) | −59 (−114 to −4) | |||
| In weeks 13-28: | |||||
| <100 | 0 | P=0.003 | 0 | P=0.006 | |
| 100-199 | −15 (−74 to 44) | −24 (−72 to 24) | |||
| 200-299 | −44 (−119 to 30) | −65 (−124 to −6) | |||
| ≥300 | −129 (−212 to 46) | −74 (−138 to −10) | |||
| In weeks 29-40: | |||||
| <100 | 0 | P=0.009 | 0 | P=0.004 | |
| 100-199 | −25 (−98 to 48) | −66 (−125 to −7) | |||
| 200-299 | −61 (−154 to 31) | −69 (−141 to 3) | |||
| ≥300 | −119 (−211 to −27) | −89 (−158 to −21) | |||
*Adjusted estimates take account of maternal age, weight, height, ethnicity, parity, smoking status (salivary cotinine concentration), and alcohol intake and neonatal gestational age at delivery and sex.
In a small cohort of women (n=109) who had reduced their caffeine intake from 300 mg/day before pregnancy to <50 mg/day by weeks 5-12 of pregnancy their offspring’s mean birth weight was higher than that of those who maintained their caffeine intake at >300 mg/day (n=193) (difference in birth weight 161 g (95% confidence interval 24 to 297 g), P=0.02).
To examine possible threshold effects, we analysed the relation between the estimated risk of delivering a growth restricted fetus and maternal caffeine intake during pregnancy measured as a continuous variable (fig 1). There was a rapid increase in associated risk from increasing caffeine intake up to about 30 mg/day. Thereafter, estimated risk continued to rise roughly linearly in a dose-response relation. At no point did the estimated risk cease to increase with increasing caffeine intake. There was no observed plateau effect.
Fig 1 Relation between risk of fetal growth restriction and caffeine intake (mg/day) during pregnancy. The relation is modelled by the best-fitting second-order fractional polynomial, with 95% confidence intervals. The graph is restricted to <500 mg/day for clarity. Horizontal dotted lines mark national average risk of fetal growth restriction (10%) and average risk in study cohort (13%)
Relation between caffeine clearance and fetal growth
Using maternal caffeine half life as a proxy for clearance rate, we found some evidence that the association between caffeine intake and fetal growth restriction was stronger in women with a faster caffeine clearance than in those with slower clearance (test for interaction, P=0.06) (table 5).
Table 5.
Stratification of risk of fetal growth restriction among offspring of 2635 pregnant women according to caffeine intake during pregnancy and caffeine half life (proxy for clearance)
| Caffeine intake (mg/day) | Risk of fetal growth restriction* | |
|---|---|---|
| Odds ratio (95% CI) | Test for trend | |
| Shorter caffeine half life (n=774)† | ||
| <100 | 1 | P=0.02 |
| 100-199 | 1.6 (0.9 to 3.0) | |
| 200-299 | 2.4 (1.3 to 4.4) | |
| ≥300 | 1.7 (0.9 to 3.3) | |
| Longer caffeine half life (n=764)† | ||
| <100 | 1 | P=0.8 |
| 100-199 | 1.1 (0.6 to 1.7) | |
| 200-299 | 0.6 (0.3 to1.3) | |
| ≥300 | 1.5 (0.7 to 2.9) | |
| Test for interaction of half life P=0.06 | ||
*Adjusted for maternal age, weight, height, ethnicity, parity, smoking status (salivary cotinine concentration), and alcohol intake and neonatal gestational age at delivery and sex.
†Shorter caffeine half life (≤median value)=faster clearance; longer half life (>median value)=slower clearance).
Relation between smoking in pregnancy and fetal growth
Women classified as active smokers (based on their salivary cotinine concentrations) had nearly twice the risk of fetal growth restriction compared with women classified as non-smokers (adjusted odds ratio 1.9 (95% confidence interval 1.4 to 2.6), P<0.001). The birth weights of babies born to active smokers were 178 g lighter (95% confidence interval 127 to 230 g) than those born to non-smokers (P<0.001). Adjusting for nausea (reported by 81% of the population in the first trimester) did not alter these results.
Discussion
This is one of the largest prospective studies investigating the association of maternal caffeine intake with fetal growth. Maternal caffeine intake was associated with an increased risk of fetal growth restriction even after adjustment for smoking and alcohol intake. We could find no level of intake at which there was no association with increased risk of fetal growth restriction. The size of the association for caffeine was of a similar size to that for alcohol intake in pregnant women in this study (data not shown).
The strong association between caffeine intake and birth weight was maintained across all of the trimesters. However, from these results we cannot define a critical time window for any maximal effect. This clearly warrants further investigation.
Strengths and weaknesses of the study
Although only 20% of the women we invited took part in the study, this low response rate does not lessen the validity of our data, as the association of caffeine with birth weight should not be different from that in the general population, especially as various confounders were taken into consideration. In addition, examination of our maternity databases indicated that the population we studied was similar to that of the maternity units as a whole.
A major strength of our study is that we have objectively quantified caffeine from all known sources. Caffeine intake was validated by comparison with a food diary and repeated measures of exposure from saliva samples,27 and we believe that, for the first time, this reflects a true picture of total caffeine intake by women during pregnancy. More than 60% of the caffeine consumed was from tea, and only 14% from coffee. Our findings emphasise the weaknesses of studies where caffeine intake was equated to that of coffee alone. Weng et al reported that coffee was the sole source of caffeine in 19% of their pregnant cohort, and 44% consumed caffeine from combined caffeine and non-caffeine sources.33 Since 26% of caffeine intake in our cohort was from neither coffee nor tea, studies that concentrated on coffee and tea alone would have grossly underestimated caffeine intake.
Study results in comparison with other studies
Caffeine consumption almost halved in early pregnancy (from 250 mg/day before pregnancy to 150 mg/day in the first trimester), as has been reported elsewhere.34 The mean caffeine intake throughout pregnancy was much lower than the limit of 300 mg/day recommended by the UK government’s Food Standards Agency12 and in the USA.35
Several studies have concluded that caffeine intake of >300 mg/day is associated with low birth weight or fetal growth restriction.6 7 8 Our study confirms these findings and further defines the nature of the association. We could find no level of intake at which there was no association with increased risk of fetal growth restriction, and this risk was maintained throughout pregnancy. Although the overall size of the reduction in birth weight may be seen as small, an extra 60-70 g in weight could reduce perinatal morbidity and mortality in an already compromised fetus. The steep decline in risk associated with caffeine intakes of <30 mg/day may be attributable to unmeasured confounding. Furthermore, women who consume little or no caffeine may be generally more health conscious than those who consume more, and the effect may be one for which we have been unable to adjust.
We found that average caffeine consumption of >100 mg/day was associated with a reduction in birth weight of 34-59 g in the first trimester, 24-74 g in the second, and 66-89 g in the third (after adjustment for smoking status and alcohol intake). Similar results were seen by Bracken et al in a prospective study of 2291 pregnant women in the US, where mean birth weight was reduced by 28 g for every 100 mg/day of caffeine consumed (P=0.0001), but the risk for fetal growth restriction was unchanged (odds ratio 0.96).36 This difference could be explained by methodological differences in the studies.
A Danish cohort of 1207 women drinking at least three cups of coffee a day before 20 weeks of pregnancy were randomised to receive either caffeinated or decaffeinated instant coffee: there was no significant difference in birth weight between the two groups after adjustment for parity, gestational age at birth, and smoking.37 However, these women were recruited in the second half of pregnancy, so the effect of first trimester caffeine intake was not assessed, and there was no biochemical confirmation of participants’ compliance with caffeinated or decaffeinated coffee consumption.
In addition, Bicalho and Filho reported no association between maternal caffeine consumption and low birth weight after adjusting for confounding variables in a case-control study in Brazil.38
Caffeine metabolism
Some of the variation in previously reported associations between caffeine intake and pregnancy outcomes may reflect the effect of differences in caffeine metabolism. The degree to which a fetus is exposed to caffeine and its metabolites, which pass freely across the placenta, depends on maternal cytochrome P450 1A2 (CYP1A2) activity because this enzyme is absent in the fetus. We complemented our assessment of caffeine intake with a measure of caffeine metabolism and observed that the association of caffeine intake with fetal growth restriction was greater among women with faster caffeine clearance.
Caffeine is primarily metabolised in the human liver to paraxanthine,39 but there is little data about metabolism in pregnant women. In our study caffeine was metabolised to paraxanthine, theobromine, and theophylline, with theobromine present in highest concentration in most of the women. As we were unable to measure the rate of formation or subsequent metabolism of these primary metabolites, we cannot attribute the association with fetal growth to any single metabolite. The association we observed may be due to caffeine itself or one of its metabolites, or to any combination of them.
In a study of pregnant women who smoked, Klebanoff et al reported a positive association between maternal paraxanthine concentration in the third trimester and having an infant that was small for its gestational age.40 In another study, the highest concentrations of paraxanthine were associated with an increased risk of spontaneous abortion.41 Recently, higher cord blood paraxanthine concentrations have been shown to be associated with an increased risk of intrauterine growth restriction after adjustment for caffeine levels, implying an effect of CYP1A2 activity rather than absolute levels of paraxanthine.25 Further consideration of the role of CYP1A2 activity and caffeine metabolites is clearly warranted.
Conclusion
This large prospective cohort study has demonstrated that maternal caffeine intake is associated with an increased risk of fetal growth restriction. The threshold at which this risk is significantly higher is not well characterised, but our data confirm that the association of fetal growth restriction with caffeine is reduced for those consuming <100 mg/day. We suggest that sensible advice for women contemplating pregnancy is to reduce their caffeine intake from all sources before conception. Once pregnancy is confirmed, they should make every effort to stop or markedly reduce caffeine consumption.
What is already known on this topic
Caffeine is the most common xenobiotic consumed in pregnancy, and there are conflicting results regarding the association of increased caffeine intake in pregnancy with fetal growth restriction and low birth weight
These differences could be explained by inconsistencies in accurate quantification of caffeine and in the definition of fetal growth restriction
What this study adds
Maternal caffeine intake is associated with an increased risk of fetal growth restriction after adjustment for smoking and alcohol intake
The size of the association for caffeine intake with fetal growth restriction is similar to that for alcohol intake
The association of caffeine with fetal growth restriction seems to be stronger in women with faster caffeine clearance
Sensible advice to pregnant women would be to reduce caffeine intake before conception and during pregnancy
We thank Gordon Gibson, Fred Kadlubar, and Mark Klebanoff for their useful comments during the study. The Leicester team of the CARE Study Group thank Vilas Misty, Clare Lawrence, Bhavin Daudia, and the Department of Chemical Pathology, University Hospitals of Leicester NHS Trust, for sample handling and processing.
Members of the CARE Study Group:
Leeds team: Sinead Boylan, Janet E Cade, Vivien A Dolby, Darren C Greenwood, Alastair W M Hay, Sara F L Kirk, Susan Shires, Nigel Simpson, James D Thomas, James Walker, Kay L M White, Christopher P Wild, Centre for Epidemiology and Biostatistics, University of Leeds, Leeds LS2 9JT
Leicester team: Neelam Potdar, Justin C Konje, Nicholas Taub, Jim Charvill, Karen C Chipps, Shabira Kassam, Chetan Ghandi, , Marcus S Cooke, Departments of Cancer Studies and Molecular Medicine and Health Sciences, University of Leicester, Leicester LE2 7LX
Steering group: Justin C Konje (chair), Marcus Cooke (principal investigator), Leicester; Janet Cade (principal investigator), Leeds; David Gott, Natalie Thatcher, Stuart Creton, Caroline Tahourdin, Food Standards Agency, London; Gordon Gibson, University of Surrey
Statisticians: Darren Greenwood, Leeds; Nicholas Taub, Leicester; Clifton Gay, Food Standards Agency
Clinicians: Neelam Potdar, Justin C Konje, Leicester; Nigel Simpson, James Walker, Leeds
Research midwives: Viv Dolby, Heather Ong, Leeds; Shabira Kassam, Karen Chipps, Leicester
Nutritional methods: Sinead Boyland, Sara Kirk, Janet Cade, Leeds
Laboratory methods: Kay White, Susan Shires, Alastair Hay, Christopher Wild, Leeds; Marcus Cooke, Leicester
Database management: James Thomas, Ellen Hill, nutritionist students, Leeds; Jim Charvill, Chetan Ghandi, Leicester.
Funding: Food Standards Agency, United Kingdom, Grant contract No T01032/33.
Competing interests: None declared.
Ethical approval: Obtained from the local ethics committees, Directorate of Research and Development, Leicester and Leeds, LREC Ref 7260. Participants gave signed informed consent before enrolment into the study.
Cite this as: BMJ 2008;337:a2332
References
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