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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.

Information

Type
Full Papers
Copyright
Copyright © The Authors 2009
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.