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Diet and deprivation in pregnancy

Published online by Cambridge University Press:  17 August 2009

Paul Haggarty*
Affiliation:
Nutrition and Epigenetics Group, Rowett Institute of Nutrition and Health, University of Aberdeen, Greenburn Road, Bucksburn, AberdeenAB21 9SB, UK Department of Obstetrics and Gynaecology, University of Aberdeen, AberdeenAB9 2ZD, UK
Doris M. Campbell
Affiliation:
Department of Obstetrics and Gynaecology, University of Aberdeen, AberdeenAB9 2ZD, UK
Susan Duthie
Affiliation:
Nutrition and Epigenetics Group, Rowett Institute of Nutrition and Health, University of Aberdeen, Greenburn Road, Bucksburn, AberdeenAB21 9SB, UK
Katherine Andrews
Affiliation:
Nutrition and Epigenetics Group, Rowett Institute of Nutrition and Health, University of Aberdeen, Greenburn Road, Bucksburn, AberdeenAB21 9SB, UK
Gwen Hoad
Affiliation:
Nutrition and Epigenetics Group, Rowett Institute of Nutrition and Health, University of Aberdeen, Greenburn Road, Bucksburn, AberdeenAB21 9SB, UK
Chandrika Piyathilake
Affiliation:
Division of Nutritional Biochemistry and Genomics, University of Alabama, Birmingham, AL35294-3360, USA
Geraldine McNeill
Affiliation:
Population Health Section, University of Aberdeen, AberdeenAB25 2ZD, UK
*
*Corresponding author: Dr P. Haggarty, fax +44 1224 716622, email p.haggarty@abdn.ac.uk
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Abstract

Deprivation is associated with poor pregnancy outcome but the role of nutrition as a mediating factor is not well understood. We carried out a prospective cohort study of 1461 singleton pregnancies in Aberdeen, UK during 2000–6. We measured nutrient intake and supplement use, B vitamin and homocysteine status, birth weight, gestational age, neonatal treatment and socio-economic deprivation status. Women in the most deprived deciles were approximately 6 years younger and half as likely to take folic acid supplements periconceptually as the least deprived mothers. Deprivation was associated with low blood folate, high homocysteine and diets low in protein, fibre and many of the vitamins and minerals. The diets of the more deprived women were also characterised by low intakes of fruit, vegetables and oily fish and higher intakes of processed meat, fried potatoes, crisps and snacks. Deprivation was related to preterm birth (OR 1·14 (95 % CI 1·03, 1·25); P = 0·009) and whether the baby required neonatal treatment (OR 1·07 (95 % CI 1·01, 1·14); P = 0·028). Low birth weight was more common in women consuming diets low in vitamin C (OR 0·79 (95 % CI 0·64, 0·97); P = 0·028), riboflavin (OR 0·77 (95 % CI 0·63, 0·93); P = 0·008), pantothenic acid (OR 0·79 (95 % CI 0·65, 0·97); P = 0·023) and sugars (OR 0·78 (95 % CI 0·64, 0·96); P = 0·017) even after adjustment for deprivation index, smoking, marital status and parity. Deprivation in pregnancy is associated with diets poor in specific nutrients and poor diet appears to contribute to inequalities in pregnancy outcome. Improving the nutrient intake of disadvantaged women of childbearing age may potentially improve pregnancy outcome.

Type
Full Papers
Copyright
Copyright © The Authors 2009

Pregnancy is acknowledged as a key life stage critical for both the current and the next generation(Reference Acheson1). Low birth weight is associated with poor obstetric outcome and long-term disadvantage including reduced stature(Reference Pryor, Silva and Brooke2), poor cognitive function(Reference Shenkin, Starr and Deary3, Reference Richards, Hardy and Kuh4) and increased risk of CVD(Reference Barker5). Low birth weight is more common in deprived areas of Britain(Reference Dibben, Sigala and Macfarlane6) and low social class is associated with increased risk of low birth weight and perinatal mortality(Reference Fairley7Reference Moser, Li and Power10). Indeed, it has been estimated that more than one-quarter of low birth weight is attributable to social inequalities(Reference Spencer, Bambang and Logan11) and there is little evidence that the situation is improving. Social inequalities in low birth weight, preterm delivery and low birth weight for gestational age decreased throughout the 1980s in Scotland but increased again between 1991 and 2000 to levels similar to those found 20 years previously(Reference Fairley7, Reference Fairley and Leyland8, Reference Bartley, Power and Blane12).

Smoking is known to account for some of the social inequality in birth weight but nutrition is also thought to be a causal factor and the Acheson report(Reference Acheson1) highlighted the importance of diet in policies aimed at improving health and reducing health inequalities in women of childbearing age and expectant mothers. Many UK health policies are aimed at the elimination of food poverty and improvement of the diet in poorer socio-economic groups(Reference Attree13). These range from the Welfare Food Scheme, designed to protect children's health during rationing, to the recently introduced Healthy Start programme through which pregnant women from low-income families receive free fruit and vegetables and vitamin supplements. Poor folate status in women of childbearing age, particularly from the more deprived groups, also prompted the recent recommendation that all flour in the UK be fortified with folic acid in order to address the problem of neural tube defect(14).

There is a need to understand the interaction between nutrition and deprivation in pregnancy and their relationship to pregnancy outcome. The aims of the present study were to evaluate current nutrient intake and status in pregnancy in relation to a high-resolution measure of multiple deprivation in a Scottish population. Particular attention was given to the B vitamins.

Materials and methods

The study was approved by the Grampian Research Ethics Committee and all women in the study gave informed written consent to take part. Women who were diabetic, carrying multiple pregnancies, who conceived as a result of fertility treatment, or in whom clinical data were not available, were excluded. Of 1461 eligible women, 1277 were enrolled sequentially (during 2000–6) at Aberdeen Maternity Hospital when attending for ultrasound scan; a further 184 were recruited later in pregnancy. Information on each pregnancy was abstracted from the Aberdeen Maternity and Neonatal Databank and the data anonymised before linking to the dietary and laboratory data.

Low birth weight was defined as less than 2500 g or the lowest decile for the standardised birth weight score (birth weight z-score adjusted for gestational age, sex and parity)(Reference Campbell, Hall and Lemon15). The main advantage of this measure over an absolute birth weight cut-off is that it allows the effect of preterm delivery to be considered separately. Any delivery that occurred before 37 weeks' gestation was defined as preterm. Pregnancies in which the newborn was admitted to the neonatal unit for any reason were categorised as requiring neonatal treatment. Deprivation was assessed using the Scottish Index of Multiple Deprivation 2004(16). This metric provides a comprehensive picture of multiple deprivation by area (postcode) based on thirty-one indicators which describe various aspects of deprivation within six domains of current income, employment, housing, health, education, skills and training and geographic access to services and telecommunications. The deciles are based on the whole population.

Women provided a blood sample at Aberdeen Maternity Hospital at approximately 19 weeks' gestation. Total plasma folate and plasma vitamin B12 were determined by RIA using the Simultrac Radioassay Kit vitamin B12 [57Co]/folic acid [125I] (MP Biomedicals, Irvine, CA, USA). Plasma total homocysteine (tHcy) was measured by reverse-phase HPLC using a DS30 Hcy Homocysteine Assay Kit and DS30 analyser system (Drew Scientific, Barrow-in-Furness, Cumbria, UK). Total erythrocyte folate was measured using the ninety-six-well plate adaptation of the Lactobacillus casei microbiological assay(Reference Piyathilake, Macaluso and Hine17).

Nutrient intake was determined at 19 weeks by a self-administered FFQ developed for use in Scottish populations(Reference Masson, McNeill and Tomany18) designed to provide an estimate of habitual diet. The validity of this questionnaire for ranking intake of nutrients was assessed in forty non-pregnant women aged 19–50 years. Spearman correlation coefficients between intake from the FFQ and from 4 d weighed diet (subjects were asked to record the description and weight of all the food and drink they consumed over a period of 4 d, including three weekdays and one weekend day) were above 0·4 and mostly above 0·5 for all macronutrients and all minerals and vitamins apart from Na, Cl, Se, iodine, vitamin B12, retinol and vitamin D (all 0·25–0·39). For thiamine no correlation was found but this is likely to reflect the fact that the 4 d diet diary was not long enough to capture variation in habitual intake of mycoprotein meat substitutes that are extremely rich in thiamine. The questionnaire, which covers 170 different food items and twenty different food groups, is semi-quantitative; it asks subjects to estimate both the number of times per week they consume each food and the number of measures of food they consume on each of these occasions. Nutrient intakes from natural foods are calculated using the UK National Nutrient Databank (based on the fifth edition of McCance & Widdowson's The Composition of Foods and related supplementary volumes). The energy-adjusted nutrient intake provides an estimate of the nutrient density of the diet. Additional questions relating to the use of food supplements (type or brand, amount per d, timing and duration of consumption in relation to stage of pregnancy), dietary restrictions and habits are also included in the questionnaire. A database of the composition of over 300 different supplement products was developed ‘in house’ to estimate intake from these sources. The supplement database was continually updated as and when new products were recorded by mothers. The nutrient content of the supplements was as recorded by the manufacturer on the product and therefore does not take into account ‘overage’ or other variations due to factors such as shelf life. The FFQ was designed to provide data on nutrients rather than food groups but it can be used to provide dimensionless information on relative differences within a population. The z-score for the intake of the main food groups was calculated and related to deprivation index.

Statistical analysis was carried out using STATA/SE (version 10.0; StataCorp LP, College Station, TX, USA). Multiple linear regression was used for continuous dependent variables (metabolite concentrations, nutrient intake) and logistic regression for categorical outcomes (for example, low birth weight, preterm birth), with adjustment for appropriate covariates.

Results

The study group characteristics are shown in Table 1. The characteristics of the group were checked against information on all singleton births in Aberdeen Maternity and Neonatal Database over a similar period (data not shown). The group was representative of singleton pregnancies in Aberdeen with respect to the key indicators of maternal weight, height, pregnancy complications, birth weight and birth outcome. The frequency of smoking was low ( < 10 %) in the least deprived groups with little change across the first four deciles (Fig. 1). Higher levels of deprivation were related to smoking behaviour, with the highest rates of smoking observed in the most deprived groups. Age at delivery and the presence of a partner (married or cohabiting) were also related to level of deprivation with the most deprived mothers being about 6 years younger and almost twice as likely to be without a partner as the least deprived mothers.

Table 1 Study group characteristics and pregnancy outcomes (n 1461)

(Mean values and standard deviations, percentages or numbers)

SIMD, Scottish Index of Multiple Deprivation.

Fig. 1 Trends (polynomial fit (—) with 95 % CI (– – –)) by Scottish Index of Multiple Deprivation (SIMD) decile for proportions smoking, single, and taking folic acid (FA) supplements periconceptually or within the first 12 weeks of pregnancy (week 12). Maternal age at delivery is also shown together with blood folate, vitamin B12 and homocysteine concentration (log transformed). Values are means, with 95 % CI represented by vertical bars.

Analysis of non-nutritional factors in relation to pregnancy outcome (Table 2) indicated that deprivation was related to preterm birth (OR 1·14 (95 % CI 1·03, 1·25); P = 0·009) and whether the newborn required neonatal treatment (OR 1·07 (95 % CI 1·01, 1·14); P = 0·028). The risk of low birth weight ( < 2500 g) was also related to deprivation (data not shown) but this appeared to be largely due to an effect on preterm birth as the gestation age-adjusted standardised birth weight score was not significantly related to deprivation. Smoking significantly increased the risk of low birth weight even with adjustment for deprivation status (OR 2·87 (95 % CI 1·88, 4·40); P < 0·001). Greater age at delivery also increased the risk of neonatal treatment (OR 1·04 (95 % CI 1·01, 1·07); P = 0·012). These analyses controlled for marital status and parity, the latter of which was significantly related to the probability of preterm birth (OR 0·43 (95 % CI 0·26, 0·72); P = 0·001) and neonatal treatment (OR 0·38 (95 % CI 0·28, 0·53); P < 0·001), though again the link between parity and low birth weight was primarily a function of preterm birth as the effect was not present after adjustment for gestational age or when using the standardised birth weight score. The significant relationships in Table 2 remained so after adjustment for nutrient intake.

Table 2 Effect of non-nutritional factors on pregnancy outcome: risks of low birth weight, preterm delivery and whether the newborn required neonatal care*

(Odds ratios and 95 % confidence intervals)

SBS, standardised birth weight score; SIMD, Scottish Index of Multiple Deprivation.

* Results of logistic regression model with five variables: SIMD decile; smoking in pregnancy category – smoker (coded 1) v. non-smoker (coded 0); marital status – married or cohabiting (coded 1) v. divorced or single (coded 0); parity – one or more previous pregnancy (coded 1) v. none (coded 0); age at delivery (continuous variable).

About 40–50 % of the least deprived women reported taking folic acid supplements periconceptually but the women in the most deprived deciles were about half as likely to take supplements at this time (Fig. 1). By week 12 of pregnancy the difference in reported intake by level of deprivation disappeared and about 80 % of women reported taking folic acid. However, blood folate status measured at 19 weeks showed strong stratification by level of deprivation, with both plasma and erythrocyte folate following the same pattern of a shallow fall in the first three to four deciles followed by a steep decline with increasing level of deprivation. There was a complementary rise in homocysteine concentration with increasing level of deprivation but no change in plasma vitamin B12 status.

Regression of energy-adjusted nutrient intake z-score on deprivation decile allows comparison on the same graph of a standardised unit change in intake per deprivation decile across all the nutrients (Fig. 2). The diet of the more deprived women was characterised by a low density of protein, fibre and almost all of the vitamins and minerals. The main exceptions were vitamin A and vitamin E, which showed no stratification by deprivation category, and Na and Cl for which the intake was higher in the most deprived women (though not statistically significant), largely reflecting a higher intake of salt-rich foods. The diets of the more deprived women also tended to be higher in sugars, starch and fats (with the exception of polyunsaturated fats) but these differences were not statistically significant. Alcohol intake fell with increasing level of deprivation. The generally poorer nutrient intakes associated with deprivation were consistent with food choices: the diet of the more deprived women was characterised by low intakes of fruit and vegetables and higher intakes of fried potatoes, crisps and snacks. Deprived women also consumed more processed meat but less unprocessed meat. Intakes of non-oily fish varied little with level of deprivation but the intake of oily fish was lower in deprived women (Fig. 3).

Fig. 2 Summary of regression analysis of change in nutrient intake by Scottish Index of Multiple Deprivation (SIMD). Data are presented as standard deviations of intake per deprivation decile, with 95 % CI represented by horizontal bars, to allow all nutrients to be compared in one graph. Results are shown for the major macronutrient classes (●), fats (▲), carbohydrates (■), fat-soluble vitamins (□), water-soluble vitamins (○), and for trace elements and minerals (△). The level of statistical significance for each regression is indicated beside the relevant nutrient: * P < 0·05, ** P < 0·01, *** P < 0·001.

Fig. 3 Summary of regression analysis of change in intake of food types by Scottish Index of Multiple Deprivation (SIMD). Data are presented as standard deviations of intake per deprivation decile, with 95 % CI represented by horizontal bars, to allow all foods to be compared in one graph. Results are shown for the main foods (●), dairy produce (○), staples (△), fruit and vegetables (□), and for sweets and drinks (■). The level of statistical significance for each regression is indicated beside the relevant nutrient: * P < 0·05, ** P < 0·01, *** P < 0·001.

Such linear regression analysis provides a useful overall summary but for many nutrients the pattern of response to level of deprivation was more complicated and this can be seen in graphs of intake with deprivation decile (Figs. 4–6). For those nutrients patterned by deprivation there were a few, such as Fe, protein and possibly vitamin C, where the response was approximately linear across all deprivation deciles. However, for most nutrients there was a graded change by decile in the most deprived groups with little difference in intake across the four or five least deprived deciles. This pattern was observed for folate and most of the other B vitamins, vitamin C, β-carotene, dietary fibre and many of the minerals including Zn, Mg and K. Interestingly, the pattern for Na and Cl intake with deprivation was almost the mirror image, i.e. increasing intake with increasing deprivation, particularly in the most deprived groups. Habitual intake of folate and vitamin B12 from foods (Fig. 6) followed essentially the same pattern by deprivation decile as the blood status measures (Fig. 1). The pattern for dietary fat was complicated, with total fat, saturated, monounsaturated and polyunsaturated fat following a biphasic relationship with deprivation decile. The generally poorer intake of essential nutrients, minerals and fibre in the more deprived women is consistent with the lower intake of fruit and vegetables, for example (Fig. 7). The graphs of food intake with deprivation decile also illustrate that, as for many of the individual nutrients, there was a differential effect with level of deprivation, with little difference in intake across the least deprived deciles but greater sensitivity to the level of deprivation in the most disadvantaged women. A number of nutrients were related to pregnancy outcome before and after controlling for deprivation index, smoking, marital status and parity (OR units are energy-adjusted dietary intake standard deviations as in Fig. 2). Births of babies in the lowest decile for standardised birth weight were most common in women consuming diets low in vitamin C (OR 0·79 (95 % CI 0·64, 0·97); P = 0·028), riboflavin (OR 0·77 (95 % CI 0·63, 0·93); P = 0·008), pantothenic acid (OR 0·79 (95 % CI 0·65, 0·97); P = 0·023) and sugars (OR 0·78 (95 % CI 0·64, 0·96); P = 0·017). These nutrient relationships with birth weight were also significant without adjustment for deprivation index, smoking, marital status and parity. Preterm delivery was associated with diets rich in protein (OR 1·43 (95 % CI 1·03, 1·98); P = 0·031) and fat (OR 1·51 (95 % CI 1·10, 2·01); P = 0·012) though this relationship was only significant after adjustment for deprivation index, smoking, marital status and parity. The requirement for neonatal care was associated with higher intakes of Na (OR 1·18 (95 % CI 1·01, 1·38); P = 0·034), Cl (OR 1·20 (95 % CI 1·03, 1·40); P = 0·018), folate (OR 1·17 (95 % CI 1·00, 1·36); P = 0·045), niacin (OR 1·32 (95 % CI 1·14, 1·54); P < 0·001) and vitamin C (OR 1·18 (95 % CI 1·04, 1·37); P = 0·032). With the exception of Na these nutrient relationships were also significant before adjustment for the deprivation index, smoking, marital status and parity. It has been suggested that Caesarean delivery is associated with a higher requirement for neonatal care, a link which was also observed in the present study, but even after adjustment for delivery type the relationship between intake of these nutrients and requirement for neonatal care remained significant; the only exception was Na (P = 0·057).

Fig. 4 Trends (polynomial fit (—) with 95 % CI (– – –)) by Scottish Index of Multiple Deprivation (SIMD) decile for dietary intake of the macronutrients, fibre, alcohol and cholesterol. Values are means, with 95 % CI represented by vertical bars.

Fig. 5 Trends (polynomial fit (—) with 95 % CI (– – –)) by Scottish Index of Multiple Deprivation (SIMD) decile for dietary intake of minerals. Values are means, with 95 % CI represented by vertical bars.

Fig. 6 Trends (polynomial fit (—) with 95 % CI (– – –)) by Scottish Index of Multiple Deprivation (SIMD) decile for dietary intake of vitamins. Values are means, with 95 % CI represented by vertical bars.

Fig. 7 Trends (polynomial fit (—) with 95 % CI (– – –)) by Scottish Index of Multiple Deprivation (SIMD) decile for intake of foods (z-scores). Values are means, with 95 % CI represented by vertical bars.

Discussion

The consequences of adverse pregnancy outcome can be lifelong. Social inequalities in adverse pregnancy outcomes persist in the UK and actually increased between 1991 and 2000 to reach levels found 20 years previously(Reference Fairley7, Reference Fairley and Leyland8, Reference Bartley, Power and Blane12). In order to develop effective strategies to reverse this trend there is a need to identify the causal factors linking deprivation to poor pregnancy outcome. Deprivation is a complex metric – defined by factors such as income, employment, housing, health, education, skills and training and access to services – which is also linked to behaviours, such as smoking, which are important determinants of health. Poor diet has been proposed as a key area for interventions designed to improve the health of the most deprived sector of the population.

In this population of pregnant women dietary choices were patterned by deprivation, with the most deprived women consuming diets poor in protein, fibre and a range of essential minerals such as Fe and vitamins such as folate, vitamin B6, niacin, vitamin C and β-carotene. However, the link was not observed for all nutrients and there was no evidence that intakes of vitamins A and E, for example, were lower in the more deprived women. Diets in the deprived group were richer in Na and Cl – the main source of which is salt – and fat, particularly saturated and monounsaturated fat. This overall dietary pattern is generally accepted as being detrimental to health and the food choices underpinning this nutritional deprivation are consistent with much of the current advice on healthy eating being most relevant to the deprived in society. More deprived women had lower intakes of fruit, vegetables and oily fish and higher intakes of processed meat, milk and cream, crisps and snacks and soft drinks. Interestingly, the relationship between nutrient intake and deprivation was not a simple linear one. In general, there was a modest reduction in the quality of the diet with level of deprivation for the first four or five deciles but much greater dependency on the level of deprivation in the most disadvantaged in society. This deprivation-related gradient extended to supplement use. In the case of periconceptual supplementary folic acid use, the uptake by level of deprivation mirrored almost exactly the intake of folates from food. An effect of deprivation on folic acid supplement use has been reported elsewhere(Reference Relton, Hammal and Rankin19) though that quintile-based analysis, using a less detailed index of deprivation, showed similar levels of periconceptual supplement use in quintiles 4 and 5. The strongest evidence for a beneficial effect of folic acid on neural tube defect is found in the periconceptual period, though the recommendation for supplement use extends to 12 weeks' gestation(20). Reported folic acid use after conception but before 12 weeks of pregnancy was high (80 %) and not different between the most and least deprived women. These data for reported folic acid use are similar to those described elsewhere(Reference Relton, Hammal and Rankin19, Reference Blake, Herrick and Kelly21, Reference Hamlyn, Brooker and Oleinikova22). However, the strong relationship between blood folate status at 19 weeks' gestation and level of deprivation suggests that deprived women may over-report folic acid use in the period up to 12 weeks' gestation. Taken overall, these results suggest that folic acid use in the critical period is lowest in precisely those women who would benefit most because of a poor general diet.

In 1937 Boyd-Orr reported that the nutritional quality of the Scottish diet was proportional to income(Reference Boyd-Orr23). The data presented here for pregnant mothers suggest that this picture remains broadly true today, although the nature of deprivation has changed since 1937. It is now defined by a range of factors including, but not limited to, income. Furthermore, increasing sophistication of food processing and the ability to manipulate the nutrient composition of highly processed foods, differential pricing of fresh and processed food, and differential access to food of high nutritional value has complicated the nature of nutritional associations with deprivation. Poor diets in the UK in the 21st century have adequate energy but are characterised by a low density of many, but not all, of the essential nutrients. Such diets appear to contribute to inequalities in pregnancy outcomes even after adjustment for the level of deprivation.

Deprivation is related to a number of other factors that could confound the apparent link between maternal nutrition and adverse pregnancy outcome. In this population, deprivation was associated with a lower level of partner support, with the most deprived mothers being almost twice as likely to be single (not married or cohabiting) as the least deprived mothers. Behaviours with a potential impact on health and pregnancy, such as smoking and supplement use, were also patterned by level of deprivation. A link between smoking and low birth weight has been reported elsewhere. The effect reported here persisted here even after adjustment for deprivation and a number of other potential confounders. The intake of a number of nutrients was related to birth outcome with and without adjustment for deprivation. In the case of low birth weight, the risk was highest in women with poor intakes of vitamin C, pantothenic acid, riboflavin and sugars. Similar observations have been reported elsewhere on data that have not been adjusted for deprivation(Reference Mathews, Yudkin and Neil24Reference Moses, Luebcke and Davis27). For preterm birth and the need for neonatal treatment the risk was highest in women with diets high in particular nutrients – for example, protein and fat in the case of preterm birth – although this relationship was only apparent after adjustment for deprivation.

The strong relationship observed between homocysteine concentration and deprivation is consistent with data from non-pregnant populations in the USA(Reference Muennig, Sohler and Mahato28) and Europe(Reference Panagiotakos, Pitsavos and Manios29). Plasma homocysteine reflects folate intake but cannot be completely explained by nutritional factors such as folate status alone(Reference Muennig, Sohler and Mahato28). This marker of cardiovascular health may be responsive to other non-nutritional factors linked to deprivation.

Even after accounting for diet and other factors, such as smoking, presence of a partner, parity and age at delivery, there remained a significant relationship between deprivation and risk of preterm birth, and the need for neonatal treatment. This direct link with deprivation may be practical, possibly resulting from a higher incidence of infection or poorer uptake of obstetric services in more deprived women. Potential organic explanations include psychosocial stress and the physiological responses to stress which are thought to be patterned by social class(Reference Muennig, Sohler and Mahato28, Reference Adler and Rehkopf30). Low birth weight is associated with levels of maternal stress(Reference Borders, Grobman and Amsden31, Reference Paarlberg, Vingerhoets and Passchier32) and plausible biological mechanisms, involving the programming of hypothalamic–pituitary–adrenal function, have been proposed to explain this link(Reference Meaney, Szyf and Seckl33).

Social disadvantage in the UK persists throughout life and across generations and is proving increasingly difficult to overcome. Poor birth outcome is itself associated with lower educational attainment and disadvantage throughout life. Improving the nutrient intake of disadvantaged women of childbearing age may help to break the vicious cycle of deprivation by improving pregnancy outcome. Other factors linked to deprivation also appear to influence pregnancy outcome and it is important to also identify these if we are to break the transmission of disadvantage across the generations.

Acknowledgements

I. Fraser and A. Skene helped with recruitment, measurement of nutrient intake and laboratory analysis. The authors would like to express their gratitude to the mothers who took part in the study.

The present study was funded by the UK Food Standards Agency (grant no. N05040). P. H., S. D., G. H. and G. M. received support from the Scottish Government Rural and Environment Research and Analysis Directorate.

P. H. was responsible for study design, data collection and statistical analysis, and preparation of the manuscript. D. M. C. was responsible for study design, the clinical database and recruitment, and manuscript revision. S. D. was responsible for plasma folate and homocysteine analysis, and manuscript revision; K. A. and G. H. were responsible for sample processing and the supplement database. C. P. was responsible for erythrocyte folate analysis and manuscript revision. G. M. was responsible for study design, the dietary questionnaire and manuscript revision.

The authors report no conflict of interest in relation to the present study.

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Figure 0

Table 1 Study group characteristics and pregnancy outcomes (n 1461)(Mean values and standard deviations, percentages or numbers)

Figure 1

Fig. 1 Trends (polynomial fit (—) with 95 % CI (– – –)) by Scottish Index of Multiple Deprivation (SIMD) decile for proportions smoking, single, and taking folic acid (FA) supplements periconceptually or within the first 12 weeks of pregnancy (week 12). Maternal age at delivery is also shown together with blood folate, vitamin B12 and homocysteine concentration (log transformed). Values are means, with 95 % CI represented by vertical bars.

Figure 2

Table 2 Effect of non-nutritional factors on pregnancy outcome: risks of low birth weight, preterm delivery and whether the newborn required neonatal care*(Odds ratios and 95 % confidence intervals)

Figure 3

Fig. 2 Summary of regression analysis of change in nutrient intake by Scottish Index of Multiple Deprivation (SIMD). Data are presented as standard deviations of intake per deprivation decile, with 95 % CI represented by horizontal bars, to allow all nutrients to be compared in one graph. Results are shown for the major macronutrient classes (●), fats (▲), carbohydrates (■), fat-soluble vitamins (□), water-soluble vitamins (○), and for trace elements and minerals (△). The level of statistical significance for each regression is indicated beside the relevant nutrient: * P < 0·05, ** P < 0·01, *** P < 0·001.

Figure 4

Fig. 3 Summary of regression analysis of change in intake of food types by Scottish Index of Multiple Deprivation (SIMD). Data are presented as standard deviations of intake per deprivation decile, with 95 % CI represented by horizontal bars, to allow all foods to be compared in one graph. Results are shown for the main foods (●), dairy produce (○), staples (△), fruit and vegetables (□), and for sweets and drinks (■). The level of statistical significance for each regression is indicated beside the relevant nutrient: * P < 0·05, ** P < 0·01, *** P < 0·001.

Figure 5

Fig. 4 Trends (polynomial fit (—) with 95 % CI (– – –)) by Scottish Index of Multiple Deprivation (SIMD) decile for dietary intake of the macronutrients, fibre, alcohol and cholesterol. Values are means, with 95 % CI represented by vertical bars.

Figure 6

Fig. 5 Trends (polynomial fit (—) with 95 % CI (– – –)) by Scottish Index of Multiple Deprivation (SIMD) decile for dietary intake of minerals. Values are means, with 95 % CI represented by vertical bars.

Figure 7

Fig. 6 Trends (polynomial fit (—) with 95 % CI (– – –)) by Scottish Index of Multiple Deprivation (SIMD) decile for dietary intake of vitamins. Values are means, with 95 % CI represented by vertical bars.

Figure 8

Fig. 7 Trends (polynomial fit (—) with 95 % CI (– – –)) by Scottish Index of Multiple Deprivation (SIMD) decile for intake of foods (z-scores). Values are means, with 95 % CI represented by vertical bars.