|
|
|
|

* University of Alabama, Department of Human Nutrition, University of Alabama, Tuscaloosa, AL 35487 and
University of Alabama at Birmingham, Center for Research in Women's Health, Birmingham, AL 35233
2 To whom correspondence should be addressed. E-mail: yneggers{at}ches.ua.edu.
| ABSTRACT |
|---|
|
|
|---|
KEY WORDS: body mass index plasma volume preterm birth fetal growth retardation micronutrients
Maternal nutritional status both before and during pregnancy is a well-recognized determinant of birth outcomes (1). Only two indicators of maternal nutritional status during pregnancy have shown consistent positive association with infant birth weight: maternal prepregnancy weight for height and weight gain during pregnancy (2). Body mass index (BMI) 3, defined as wt/ht2, is a simple, useful index for evaluating prepregnancy nutritional status in clinical settings. In 1990 the United States Institute of Medicine established new weight gain recommendations for women during pregnancy using BMI as the preferred way to classify women into prepregnancy weight categories (3). Although prepregnancy BMI has a genetic as well as nutritional component, a low prepregnancy BMI is considered a marker for minimal tissue nutrient reserves (4). Women with low prepregnancy weight for height or BMI are at increased risk for a number of adverse pregnancy outcomes, including preterm birth and intrauterine growth retardation (IUGR) (5).
BMI and pregnancy outcomes: birth weight, intrauterine growth retardation and preterm delivery
In developed countries an interaction between prepregnancy weight and weight gain during pregnancy has been reported: underweight women with weight gain in excess of 12 kg and overweight women with weight gains limited to 611 kg tend to have the best pregnancy outcome (6). Spinillo et al. (7) reported a prepregnancy BMI < 19.5 and a second and third trimester weight gain <0.37 kg/wk to be associated with a significantly increased risk of spontaneous preterm delivery. The risk of spontaneous preterm delivery was associated with a low second or third trimester weight gain with a BMI
19.5 (odds ratio [OR] 5.63; 95% confidence interval [CI]: 2.3513.8) compared with those with BMI > 19.5 (OR 2.45; 95% CI: 1.603.75). Similarly, Schieve et al. (4) reported that women with low prepregnancy BMI were at increased risk of preterm delivery only if they failed to gain weight at an adequate rate during pregnancy. However, low prepregnancy BMI alone has also been independently implicated as a risk factor for preterm delivery. In a matched case-control study of idiopathic preterm labor in Canada, Kramer et al. (8) reported an OR of 2.06 (95% CI: 1.773.34) for preterm delivery in women with a prepregnancy BMI < 19.8. In a large cohort of Hispanic women in the United States, Siega-Riz et al. (5) tested BMI cut points cited in the Institute of Medicine report (3) for their ability to predict preterm birth. Women with a prepregnancy BMI < 19.1 had a significantly increased risk of delivering preterm (relative risk 1.7, p < 0.05; positive predictive value 10.4%). Although the relative risks were not statistically significant, there was a trend toward a decreased risk of preterm birth with higher BMI. Prepregnancy weight status based on BMI alone was an indicator of preterm birth only for women with a low BMI.
In a large prospective study of predominantly black indigent women to examine the risk factors associated with IUGR and preterm delivery (9), except for a history of preterm delivery, a low prepregnancy weight (< 50 vs
85 kg) had the strongest relationship with preterm delivery with an adjusted odds ratio (AOR) of 2.72 (p < 0.05). Also, there was a 3-fold increase in risk of IUGR (AOR 3.0, p < 0.05) in women with low prepregnancy weight after adjustments were made for other confounders. The risk of IUGR in women with low prepregnancy weight was larger than all the other independent risk factors in the multiple regression model (Table 1). In a study to evaluate measures of maternal lean mass and fat reserves as predictors of infant birth size, the maternal prepregnancy weight was the best predictor for nearly every neonatal measurement considered (2).
|
Studies conducted by Goldenberg et al. (11 13) have indicated an association between several risk factors for IUGR and BMI. For example, smoking and psychosocial stress during pregnancy and protective factors such as aspirin use and zinc supplementation during pregnancy were significantly associated with IUGR only in women with low BMI.
A poor psychosocial profile during pregnancy in both smokers and nonsmokers was a significant predictor of IUGR only in thinner women (pregnancy BMI < 22). The risk of IUGR was not significant in women with a poor psychosocial profile in either smokers or nonsmokers with BMI
22 (13). In thinner women who smoked and had a poor psychosocial profile during pregnancy, the rate and the relative risk of IUGR was substantially higher (mean % IUGR = 31.5; AOR 1.65; 95% CI: 1.062.57) than for heavier women who smoked and had a poor psychosocial profile (mean % IUGR = 11.1; AOR 1.04; 95% CI: 0.502.15) (Table 2). Thus, a higher BMI seems to protect against the adverse effect of stress and smoking in this population of poor and primarily black women.
|
140 g) was found in thinner women (BMI < 24.1). Sequential fetal ultrasound measurements showed significant changes in the fetal abdominal circumference (p < 0.001) at 27 wk and later associated with aspirin use, but these changes occurred only in thinner women.
In a randomized, double-blind, placebo-controlled trial to evaluate the efficacy of zinc supplementation (25 mg zinc/d, starting at 19 wk gestation) on pregnancy outcome, infants of women in the zinc supplemented group had a significantly higher birth weight (126 g, p = 0.03) than did infants of women in the placebo group (11) (Table 3). However, in the thinner women (BMI < 26), zinc supplementation was associated with a 248 g higher birth weight. Zinc supplementation had virtually no effect in heavier women (BMI
26).
|
Considerable evidence suggests a role for micronutrients in pregnancy outcomes (14 16). Even in a developed country like the United States, a substantial proportion of women of childbearing age consumes diets that provide less than the recommended amounts of micronutrients, particularly, zinc, folate, calcium and iron (17, 18). In south Asia, iron deficiency and anemia affect 50% or more of pregnant women. The prevalence of folic acid deficiency may be up to 3050% and zinc deficiency is likely to be widespread (14). However, nutrition intervention studies have not provided unequivocal evidence of an association between micronutrient intakes and pregnancy outcomes such as birth weight, IUGR, preterm delivery and pregnancy-induced hypertension (19, 20). Study population, sample size and study design showed considerable methodological variation across these studies. Also, many of these studies were conducted in women not at great risk for low micronutrient intakes and were therefore less likely to demonstrate a positive association between micronutrient intakes and pregnancy outcome.
In a systematic review of randomized clinical trials to evaluate nutritional interventions to prevent IUGR, Onis et al. (19) concluded that perhaps with the exception of balanced protein and energy supplementation, no effective nutritional intervention has been demonstrated. However, they recommended that interventions such as with zinc, folate and magnesium supplements during pregnancy merit further research.
Ramakrishan et al. (20) published an extensive review of the relationship between micronutrient status and pregnancy outcome. This review was not restricted to randomized controlled trials and also included cross-sectional, prospective, case-control studies. Their key conclusions were that 1) significant evidence, mostly from developed countries, shows improved pregnancy outcomes from supplementation with zinc, calcium and magnesium; 2) vitamin A supplements may be associated with reduced maternal mortality and increased birthweight; 3) although the prevention of neural tube defects with folate supplementation and increases in hemoglobin with iron supplementation are well documented, evidence demonstrating whether folic acid and iron supplementation reduce other adverse pregnancy outcomes is limited; 4) vitamin C deficiency may have a role in the etiology of preterm delivery; and 5) severe maternal iodine deficiency results in mental retardation and cretinism but evidence is weak in the case of marginal iodine deficiency.
Because in developing countries the prevalence of both poor pregnancy outcome (20% of infants are low birth weight compared with 6% in developed countries) and multiple micronutrient deficiencies are common, well-designed randomized clinical trials in high risk women with low prepregnancy BMI are needed to evaluate the role of micronutrients related to poor pregnancy outcomes.
Prepregnancy BMI, birth weight and micronutrient intakes
The mechanisms of association between prepregnancy BMI and IUGR and preterm delivery are not clear, but throughout the literature there is an assumption that the relationship between a low prepregnancy BMI and adverse pregnancy outcomes is mediated by protein-energy availability. However, there are reasons to believe protein-energy malnutrition may not provide the full explanation (21, 22). For example, the effect of reduced prepregnancy weight on fetal growth was still present when underweight women were able to gain weight at a normal rate throughout pregnancy (23, 24). It is likely that a normal gestational weight gain indicates a positive energy balance. If maternal energy intake directly affects fetal growth, then it is hard to explain why similar weight gains result in larger infants in women with a normal prepregnancy weight than in women with a low prepregnancy weight. One explanation for the lower mean infant birth weight in women with low prepregnancy weight may be that the fetus was prevented from receiving an adequate supply of nutrients from the mother because of changes in maternal hemodynamic status (22).
In a study comparing the plasma volume in underweight, normal-weight and overweight women with similar weight gains during pregnancy, underweight women had smaller total plasma volume than did normal and overweight women both early and late in pregnancy (22). As expected, the mean birth weight of infants of underweight women was significantly lower than those of the other two groups. During pregnancy no differences in plasma volume expansion were observed between underweight and normal-weight women. It was concluded that because weight gain was similar in all groups, maternal weight and plasma volume increased proportionately. The authors suggest that this supports a key role for maternal plasma volume in fetal growth. Based on the results of their clinical studies, Rosso et al. (22) proposed that in underweight women, a low plasma volume during early pregnancy will result in a proportionately reduced cardiac output. A lower cardiac output would result in a lower uteroplacental blood flow and hence a decrease in transfer of nutrients to the fetus and a reduction in fetal growth.
Some evidence shows that in underweight women, micronutrient intake during pregnancy may be associated with maternal plasma volume and infant birth weight. In a supplementation study conducted in Chile by Mardones-Santander et al. (25) in underweight women (mean BMI = 20.2), infant birth weight was significantly higher in the group that received energy (milk powder) and a micronutrient supplement than the group that received energy supplement alone. Also, the percentage of IUGR infants was significantly lower in the group that received energy plus a micronutrient supplement than the group that received only energy supplement. The higher weight gain during pregnancy in the micronutrient group was attributed to a larger plasma volume expansion during pregnancy. A later analysis of this data indicated that the risk for IUGR in the group that received micronutrient plus energy supplement was significantly lower (OR 0.62; 95% CI: 0.460.83; p = 0.03) than the group that received only energy supplement (26). These investigators suggested that in malnourished underweight women, lower volume expansion related to decreased micronutrient status might be associated with reduced fetal growth.
In a recent prospective study conducted in India in underweight women (mean prepregnancy BMI = 18.1), increased infant birth weight was strongly associated with consumption of foods rich in micronutrients (vitamins A and C, folacin, calcium and iron) whereas energy and protein intakes were not associated with birth size (27). Women who consumed green leafy vegetables, fruits or milk products 34 times/wk compared with women who consumed these foods <1 time/wk had infants with a significantly higher mean birth weight (green leafy vegetables: 2742 vs. 2601 g, fruits: 2721 vs. 2598 g, milk products: 2704 vs. 2618 g). Because the mean birth weight in this study was low (mean = 2665, SD ± 358 g), an increase in birth weight of 139, 122 and 86 g with increased consumption of micronutrient-rich green leafy vegetables, fruits and milk products, respectively, is of biological significance. Thus, in undernourished women with low prepregnancy BMI, a lack of association of birth weight with energy and protein intakes but a strong association with micronutrient intakes suggests that micronutrients may be one of the limiting factors for fetal growth.
It can be concluded that in developed countries, prepregnancy BMI is a significant predictor of fetal growth. The effect of some protective factors (aspirin use and zinc supplements) on IUGR and preterm birth is largely present in women with a low prepregnancy BMI. By contrast, a higher prepregnancy BMI seems to protect against factors such as smoking and stress that reduce birth weight.
In developing countries, where deficiencies of multiple micronutrients are common, some evidence indicates that increasing micronutrient intakes, either by supplementation or by increased consumption of micronutrient-rich foods, is associated with significant increase in birth size and a reduction of IUGR in women with a low prepregnancy BMI. It is plausible that in these undernourished women both low prepregnancy BMI and a low plasma volume may be associated with poor micronutrient status. This combination may thus result in a decreased transfer of nutrients from mother to fetus and may have an adverse effect on fetal growth.
In conclusion, there is need for
| FOOTNOTES |
|---|
3 Abbreviations used: AOR, adjusted odds ratio; BMI, body mass index; CI, confidence interval; IUGR, intrauterine growth retardation; OR, odds ratio. ![]()
| LITERATURE CITED |
|---|
|
|
|---|
1. Osrin, D. & de L. Costello, A. (2000) Maternal nutrition and fetal growth: practical issues in international health. Semin. Neonatol. 5: 209219.[Medline]
2. Neggers, Y., Goldenberg, R. L., Clive, S. P., Hoffman, H. J. & Cutter, G. R. (1995) The relationship between maternal and neonatal anthropometric measurements in term newborns. Obstet. Gynecol. 85: 192196.[Medline]
3. Institute of Medicine. (1990) Nutrition during pregnancy. Part I. Weight gain. National Academy Press, Washington DC.
4. Schieve, L. A., Cogswell, M. E., Scanlon, K. S., Perry, G., Ferre, C., Blackmore-Prince, C., Yu, S. M. & Rosenberg, D. (2000) Prepregnancy body mass index and pregnancy weight gain: associations with preterm delivery. Obstet. Gynecol. 96: 194200.[Medline]
5. Siega-Riz, A. M., Adair, L. S. & Hobel, C. J. (1994) Institute of Medicine maternal weight gain recommendations and pregnancy outcome in a predominantly Hispanic population. Obstet. Gynecol. 84: 565573.[Medline]
6. Abrams, B. & Selvin, S. (1995) Maternal weight gain pattern and birth weight. Obstet. Gynecol. 86: 163169.[Medline]
7. Spinillo, A., Capuzzo, E., Piazzi, G., Ferrari, A., Morales, V. & Di Mario, M. (1998) Risk for spontaneous preterm delivery by combined body mass index and gestational weight gain patterns. Acta Obstet. Gynecol. Scand. 77: 3236.[Medline]
8. Kramer, M. S., Coates, A. L., Michoud, M. C., Dagenais, S., Hamilton, E. F. & Papageorgiou, A. (1995) Maternal anthropometry and idiopathic preterm labor. Obstet. Gynecol. 86: 744748.[Medline]
9. Wen, S. W., Goldenberg, R. L., Cutter, G. R., Hoffman, H. J. & Cliver, S. P. (1990) Intrauterine growth retardation and preterm delivery: prenatal risk factors in an indigent population. Am. J. Obstet. Gynecol. 162: 213218.[Medline]
10. Nestel, P. & Rutstein, S. (2002) Defining nutritional status of women in developing countries. Public Health Nutr. 5: 1727.[Medline]
11. Goldenberg, R. L., Tamura, T., Neggers, Y., Copper, R. L., Johnston, K. E., Dubard, M. B. & Hauth, J. C. (1995) The effect of zinc supplementation on pregnancy outcome. JAMA 274: 463468.
12. Goldenberg, R. L., Hauth, J. C., DuBard, M. B., Copper, R. L. & Cutter, G. R. (1995) Fetal growth in women using low-dose aspirin for the prevention of preeclampsia: effect of maternal size. J. Matern. Fetal Med. 4: 218224.
13. Cliver, S. P., Goldenberg, R. L., Cutter, G. R., Hoffman, H. J., Copper, R. L., Gotlieb, S. J. & Davis, R. O. (1992) The relationships among psychosocial profile, maternal size, and smoking in predicting fetal growth retardation. Obstet. Gynecol. 80: 262267.[Medline]
14. Seshadri, S. (2001) Prevalence of micronutrient deficiency particularly of iron, zince and folic acid in pregnant women in South East Asia. Br. J. Nutr. 85: S87S92.
15. Black, R. E. (2001) Micronutrients in pregnancy. Br. J. Nutr. 85: S193S197.
16. Bendich, A. (2001) Micronutrients in women's health and immune function. Nutrition 17: 858867.[Medline]
17. Scholl, T. O., Hediger, M. L., Schall, J. I., Woolcott, K. S. & Krueger, P. M. (1997) Use of multivitamin/mineral prenatal supplements: Influence on the outcome of pregnancy. Am. J. Epidemiol. 146: 134141.
18. Block, G. & Abrams, B. (1993) Vitamin and mineral status of women of childbearing potential. Ann. N. Y. Acad. Sci. 678: 244254.[Medline]
19. Onis, M., Villar, J. & Gulmezoglu, M. (1998) Nutritional interventions to prevent intrauterine growth retardation: evidence from randomized controlled trail. Eur. J. Clin. Nutr. 52: S83S93.
20. Ramakrishnan, U., Manjrekar, R., Rivera, J., Gonzales-Cossio, T. & Martorell, R. (1999) Micronutrients and pregnancy outcome: A review of the literature. Nutr. Res. 19: 103159.
21. Rosso, P., Donoso, E., Braun, S., Espinoza, R. & Salas, S. P. (1992) Hemodynamic changes in underweight pregnant women. Obstet. Gynecol. 79: 908912.[Medline]
22. Rosso. P. & Salas, S. P. (1994) Mechanisms of fetal growth retardation in the underweight mother. In: Nutrient regulation during pregnancy, lactation, and infant growth (Allen, L., King, J. & Lonnerdal, B, eds.), pp. 19. Plenum Press, New York.
23. Rosso, P. (1985) A new chart to monitor weight gain during pregnancy. Am. J. Clin. Nutr. 41: 644649.
24. Abrams, B. F. & Laros, R. K. (1986) Prepregnancy weight, weight gain and birth weight. Am. J. Obstet. Gynecol. 154: 503509.[Medline]
25. Mardones-Santander, F., Rosso, P., Stekel, A., Ahumada, E., Llaguno, S., Pizarro, F., Salinas, J., Vial, I. & Walter, T. (1988) Effect of milk-based food supplement on maternal nutritional status and fetal growth in underweight Chilean women. Am. J. Clin. Nutr. 47: 413419.
26. Mardones-Santander, F. (1999) Nutritional intervention to prevent intrauterine growth retardation: evidence from randomized controlled trials. Letter to the editor. Eur. J. Clin. Nutr. 53: 970971.[Medline]
27. Rao, S., Yajnik, C. S., Kanade, A., Fall, C. H. D., Margetts, B. M., Jackson, A. A., Shier, R., Joshi, S., Rege, S., Lubree, H. & Desai, B. (2001) Intake of micronutrient-rich foods in rural Indian mothers is associated with size of their babies at birth: Pune maternal nutrition study. J. Nutr. 21: 12171224.
This article has been cited by other articles:
![]() |
H. M. Salihu, O. Lynch, A. P. Alio, and J. Liu Obesity Subtypes and Risk of Spontaneous versus Medically Indicated Preterm Births in Singletons and Twins Am. J. Epidemiol., July 1, 2008; 168(1): 13 - 20. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. B. Mikkelsen, M. Osler, I. Orozova-Bekkevold, V. K. Knudsen, and S. F. Olsen Association between fruit and vegetable consumption and birth weight: A prospective study among 43,585 Danish women Scand J Public Health, December 1, 2006; 34(6): 616 - 622. [Abstract] [PDF] |
||||
![]() |
P. Christian, T. Jiang, S. K Khatry, S. C LeClerq, S. R Shrestha, and K. P West Jr Antenatal supplementation with micronutrients and biochemical indicators of status and subclinical infection in rural Nepal. Am. J. Clinical Nutrition, April 1, 2006; 83(4): 788 - 794. [Abstract] [Full Text] [PDF] |
||||
![]() |
B. A. Laraia, A. M. Siega-Riz, C. Gundersen, and N. Dole Psychosocial Factors and Socioeconomic Indicators Are Associated with Household Food Insecurity among Pregnant Women J. Nutr., January 1, 2006; 136(1): 177 - 182. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. A. Jackson, Z. A. Bhutta, and P. Lumbiganon Introduction J. Nutr., May 1, 2003; 133(5): 1589S - 1591. [Full Text] [PDF] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||