Hostname: page-component-8448b6f56d-gtxcr Total loading time: 0 Render date: 2024-04-24T02:10:51.869Z Has data issue: false hasContentIssue false

Dietary practice among cohort pregnant women who gave birth to neonates with and without neural tube defect: a comparative cross-sectional study

Published online by Cambridge University Press:  21 March 2022

Anteneh Berhane*
Affiliation:
Department of Public health, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia Department of Nutrition and Dietetics, Faculty of Public Health, Institute of Health Science, Jimma University, Jimma, Ethiopia
Tewodros Fikadu
Affiliation:
Adama Hospital Medical College, Adama, Ethiopia
Tefera Belachew
Affiliation:
Department of Nutrition and Dietetics, Faculty of Public Health, Institute of Health Science, Jimma University, Jimma, Ethiopia
*
*Corresponding author: Anteneh Berhane, email antishaction@gmail.com

Abstract

Despite the high burden of neural tube defects (NTD) in eastern Ethiopia, there is no evidence that it is related to maternal dietary practice. The aim of the present study was to compare dietary practice between women who gave birth to newborns with and without NTDs. A comparative cross-sectional study was performed on a total of 276 (138 in each group) mothers who delivered neonates with or without NTD. Study participants were selected from three hospitals found in the eastern part of Ethiopia. The dietary practice was determined using the indicators including meal frequency, dietary diversity score (DDS), food variety score (FVS) and consumption of animal source food (ASF) generated from the dietary data collected using validated and pre-tested Food Frequency Questionnaire (FFQ). A multivariable logistic regression model was fitted to isolate independent predictors of dietary practices. The prevalence of good dietary practice was 29 % (95 % CI 23·6 %, 34·3 %). There was a significant difference in dietary practices (P = 0·034), in FVS (P = 0·01), in DDS (P = 0·045) between the two groups. In multivariable logistic regression, independent predictors of having good dietary practice were: not being the mother of a newborn with NTDs [adjusted odds ratio (AOR) 2·1, 95 % CI 1·07, 4·1], being from a rural residence area (AOR 0·29, 95 % CI 0·1, 0·7) and being illiterate (AOR 0·16, 95 % CI 0·03, 0·8). The present study found that dietary practice is associated with the development of NTDs. Nutrition education, food fortification and supplementation are needed to address this issue, and further research is needed to explore the mechanism.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of The Nutrition Society

Background

Ensuring appropriate dietary practice is critical for optimising maternal and newborn health. Poor maternal nutritional status has been linked to a variety of adverse birth outcomes. Nonetheless, the relationship between maternal diet and birth outcome is complex and influenced by a variety of biological, socioeconomic and demographic factors that vary widely across populations(Reference Villar, Merialdi and Gulmezoglu1). Nutrients have been shown to influence the risk of neural tube defect (NTD) due to the role of folic acid and other nutrients(Reference Wald, Sneddon and Densem2,Reference Berry, Li and Erickson3) . Folate is an essential nutrient for fetal development as it is a cofactor in many important cellular reactions, including the synthesis of deoxyribonucleic acid (DNA) and ribonucleic acid (RNA)(Reference Czeizel4) and other nutrients(Reference Watkins, Carmichael, B, LC and PC5). Poor dietary practice(Reference Carmichael, Shaw and Selvin6), low maternal weight(Reference Shaw, Todoroff and Carmichael7), the short intervals between pregnancies(Reference Todoroff and Shaw8) and food insecurity(Reference Wynn and Wynn9,Reference Stein and Susser10) could led to deficiency of nutrients that have an effect on the development of the neural tube. There have been reports of NTDs in the offspring of women who had gastric bypass surgery(Reference Haddow, Hill and Kloza11), long-term restrictive diets(Reference Sheffer, Shohat and Merlob12) and weight loss due to dieting during early pregnancy(Reference Robert, Francannet and Shaw13). The extent to which these factors explain the population burden of NTDs is unknown due to a lack of knowledge about the underlying mechanisms in the causation of NTDs. Continued research into nutritional exposures related to implicated nutrients will help to understand the nutritional aetiologies of NTDs. Understanding the relationship between women's dietary practices is therefore critical to prevent adverse birth outcomes including NTDs. We hypothesised that the dietary practice would be associated with an increased risk of having offspring with NTDs. The present study, therefore, compared dietary practices between groups of women giving birth to newborns with and without NTDs (apparently healthy newborns) in a setting high burden of NTDs.

Method and materials

Study design and study site

A comparative cross-sectional study was employed to compare dietary practices of women who gave birth to newborns with NTD and their counterparts with NTD free newborns. The study was conducted in Dire Dawa City Administration, Harari Region and Adama City, located in eastern Ethiopia. Dire Dawa Referral Hospital is located in Dire Dawa, 515 km east of Addis Ababa and serves approximately five million people from Oromia and Somali regions adjacent to Dire Dawa. Hiwot Fana Specialized Teaching Hospital is located in Harari Region located 526 km east of Addis Ababa and serves the entire community in eastern Ethiopia. In addition, the hospital also functions as an educational centre for health and medical students. Adama Hospital Medical College is located in Oromia Regin eastern Shoa, Adama city 100 km east of Addis Ababa and serves as a referral centre for more than six million people from different regions, including Afar, Amharic and Somali, as well as neighbouring zones and regions.

Study population

The study population consisted of two groups: women who gave birth to a newborn with NTDs and those who gave birth to apparently healthy newborns (without NTDs). NTDs were defined according to the ICD-10 criteria and a neonate born with anencephaly or spinal bifida, or encephalocele(14) was labelled to have NTD. Both groups were recruited from obstetrics/gynaecology department in the same facilities. All women who gave written informed consent were included in the study. Women, who were seriously ill, emotionally upset or who died shortly after childbirth, and cases that are difficult to identify were excluded. The case group was defined as women who gave birth to newborns with NTD, while the comparison group was defined as women who gave birth to an apparently healthy and alive neonate. The comparison group was randomly selected from the same hospital.

Sample size determination

The sample size was calculated assuming an equal number of cases and comparison group (1:1), odds ratio of 3·0, power of 80 %(Reference Taye, Afework and Fantaye15), significance level of 5 % and non-response rate of 5 %. The final sample size was 276 (138 cases and 138 comparisons).

Data collection and measurements

Data were collected through a face to face interview using interviewer administered pre-tested structured questionnaire. Trained midwives were involved in data collection. The questionnaire included socio-demographic, dietary and anthropometric data. The questionnaire was initially prepared in English language and translated into the local language. A previously validated Food Frequency Questionnaire (FFQ) was used(Reference Regassa, Endris and Habtemariam16), and the questionnaire included 125 locally available items that are most commonly consumed in the community after consultation with key informants. The FFQ was pre-tested and necessary modifications were made before actual data collection.

Minimum Dietary Diversity for Women (MDD-W)(Reference Custodio, Kayikatire and Fortin17,18) was determined using the following ten food groups, including starchy and staple foods and grains, beans and peas, nuts and seeds, dairy, fleshy foods, eggs, vitamin A-rich dark green leafy vegetables, other vitamin A-rich fruits and vegetables, other vegetables and other fruits(Reference Becquey and Martin-Prevel19Reference Wen, Flood and Simpson21). Meal frequency, dietary diversity score (DDS), food variety score (FVS) and animal source food (ASF) score were used to assess dietary practice. The FVS was calculated by counting the frequency of individual foods consumed by the mother during a week period. The mean FVS of pregnant women was calculated, and pregnant women with FVS greater than the mean were marked as having a ‘high’ FVS. The sum of each food group consumed by pregnant women during one week was calculated for DDS analysis and converted to tertiles, with the highest tertile used to mark the ‘high’ DDS. ASF consumption was estimated by calculating the frequency of each animal-derived food consumed by women during the reference period. ASF scores were also converted to tertiles, with the highest tertile defined as ‘high’.

Values for each of the four indicators were summed and dietary practice was categorised as good when mothers have meal frequency greater than four, high FVS, high DDS and high ASF score, while the rest were labelled as having poor dietary practices(18,Reference Shamim, Mashreky and Ferdous22Reference Belachew, Lindstrom and Gebremariam24) .

Women's height, weight and mid arm circumference (MUAC) were measured after calibration of the device and tandardization of the data collectors. Acute malnutrition among pregnant women was defined as having MUAC of <21 cm(Reference Kahanya25,Reference Thurstans, Turnbull and Velly26) .

Quality control measures

In order to maintain the quality of the data, the questionnaire was adapted from validated and pretested data collection instruments. Data collectors and supervisors were trained for three days. The supervisors and principal investigator overhauled the data collection process and feedback was given on the data daily.

Data processing and analysis

Chi-sqaure tests and independent sample t-tests were used to determine any statistically significant differences in prevalence and means between the two groups. Multivariable logistic regression model was fitted to isolate independent predictors of dietary practices. The best-fitting model was determined using Akaike's information criterion (AIC). A lower AIC indicates a better fit model. AOR with 95 % CI were used to measure association. All assumptions were checked and a standard errors of >2·0 was used to test the presence of multicollinearity. All tests were two-sided and statistical significance was determined using a P-value of 0·05.

Results

A total of 138 pairs of participants were identified, among which 30 (21·7 %), 22 (15·9 %) and 86 (62·3 %) of cases with NTD delivery were reported from Dil Chora Referral Hospital, Hiwot Fana Specialization Hospital and Adama Hospital Medical College, respectively. The overall maternal age ranged from 17 to 40 years and the mean (±sd) maternal age was 26·2 (±5·9) years. As indicated in Table 1, 58·7 % of cases with NTD and 56·5 % of those without NTD were from urban areas. Regarding educational status, 50·7 % of the NTD cases had primary education (grades 1–8) followed by secondary education (9–12) accounting for 26·8 %. Similarly, 45·7 % of the comparison group had primary education followed by secondary level which accounted for 20·3 % (Table 1).

Table 1. Socio-demographic data among the case group and the comparison group in Eastern Ethiopia

All results are described as Pearson's chi square and all p values are p < 0.05 (*).

Fig. 1 shows the contribution of each food group to the dietary practices as measured by the different indicators shown earlier by the status of delivering a newborn with NTD (case group) or not (comparison group). All subjects in both groups consumed more starch and group staples. Consumption of beans, peas, dairy products, meat, vitamin A-rich foodstuffs and other vegetables and fruits was higher in the corresponding group than in the case group, while nuts, seeds and eggs were relatively higher in the case group (Fig. 1).

Fig. 1. Percentage of foods groups consumed by the case and comparison groups of cohort pregnant women in eastern Ethiopia.

There were significant differences in the intake of beans and peas (P = 0·005), meat group (P = 0·028), eggs (P = 0·046), other vegetables and other fruits (P < 0·001) between case and control groups. Women who delivered newborns without NTDs consumed more meat and fruit than controls (Table 2).

Table 2. Food groups consumed during the 3-month dietary recalls, among participant women's case and comparison group in Eastern Ethiopias

DGLV, dark green leaf and vegetables.

p values denotes as p < 0.05* (χ 2 test), p < 0.01** (Independent Sample t-test) and p < 0.001***.

The prevalence of the good dietary practice in the study population was 29 % (95 % CI 23·6 %, 34·3 %) (Fig. 2).

Fig. 2. Prevalence of dietary practice study participants in eastern Ethiopia.

As shown in Table 3, dietary practice (P = 0·034) showed a significant difference between the two groups. In addition, the FVS (P = 0·01) and the DDS (P = 0·045) were significantly different between the case and comparison groups (Table 3).

Table 3. Dietary practice and anthropometric indices, between case group and counterpart

MUAC, middle upper arm circumference.

p values denotes as p < 0.05* (χ 2 test), p < 0.01** and p < 0.001***.

On the multivariable logistic regression model, after adjusting for background variables, women living in the rural areas were 71 % less likely to have good dietary practice than urban women [adjusted odds ratio (AOR) = 0·29, 95 % CI, 0·1, 0·7]. Likewise, illiterate women were 84 % less likely to adhere to good dietary practices than women with higher education (AOR = 0·16, 95 % CI 0·03, 0·8). Mothers in the comparison group were more likely to have a good dietary practice than women who delivered newborn with NTD (AOR = 2·1, 95 % CI 1·07, 4·1) (Table 4).

Table 4. Parameter estimates from multivariate regression predicting dietary practice among participant women

AOR, adjusted odds ratio; CI, confidence interval; NTD, neural tube defect.

Maximum Standard Error (se) = 0·8, Significant at P < 0·05.

Discussion

The present study compared the dietary practice of women who gave birth to newborns with NTD with the ones who delivered apparently healthy newborn. Dietary practices were assessed based on meal frequency, FVS, DDS and ASF consumption. The overall proportion of good dietary practice was low, 29 % (95 % CI 23·6 %, 34·3 %), which is higher than that of a study in the Haramaya region of eastern Ethiopia (15·18 %)(Reference Fite, Tura and Yadeta27) and in the West Gojjam Zone, Ethiopia (19·9 %)(Reference Demilew, Alene and Belachew23).

The present study showed that the case group had a poorer dietary practice than the comparative group (40 %) and that there was a significant difference in dietary practice between the two groups (P = 0·034). The poor dietary practice of pregnant mothers can have a significant impact on fetal health and birth outcomes(Reference Kramer28Reference Evans, Hutchinson and Christian30). It also contributes to micronutrient deficiency(Reference Lee, Talegawkar and Merialdi31,Reference Torheim, Barikmo and Parr32) such as folate deficiency(Reference Gibson33), which could lead to the occurrence of NTDs.

In the present study, nearly half of the case group (50 %) and of the comparison group (49·6 %) of women consumed starches and staple foods, while meat, nuts and seeds were the lowest food items taken by both groups (5·1 % of the case group and 5·4 % of the comparison group). This finding suggests that study participants rarely ate foods that consisted of folic acid. There were statistically significant differences in the intake of beans and peas (P = 0·005), meat group (P = 0·028), other fruits and vegetables (P < 0·001) between the case group and the comparison groups, which is consistent with the reports of other studies conducted in Ethiopia(Reference Demilew, Alene and Belachew23,Reference Aliwo, Fentie and Awoke34) . The fact that flesh foods, nuts and seeds are good sources of folic acid(Reference Paik35), could explain the difference in the risk potential of NTDs between the two groups. Folic acid has been shown to have health benefits through its important role in one-carbon metabolism with its deficiency being primarily associated with defects in the development of the fetal nervous system, NTDs and megaloblastic anaemia(Reference Smithells, Seller and Harris36Reference Bower and Stanley38). The fact that none of the pregnant women in the present study took folic acid before and during pregnancy is an issue that requires immediate policy attention.

There was a statistically significant difference in the DDS (P = 0·01) and the FVS (P = 0·045) between case and comparison groups. Dietary diversity correlates with nutrient adequacy, increased nutrient intake and better nutritional status in pregnant women(Reference Tsegaye, Tamiru and Belachew39). In our study, women living in urban areas had a significant association with good dietary practices, which could be due to the fact that urban residents are more exposed to nutritional information and practice proper nutrition. In addition, the present study found that women's dietary practices were significantly associated with women's educational status, similar to what was documented by other studies(Reference Shamim, Mashreky and Ferdous22,Reference Kiboi, Kimiywe and Chege40Reference Shehab43) . The association between educational status and good dietary practice could be explained by the role of education in making people aware of the importance of eating a diverse diet. On the other hand, educated women can have better employment and income opportunities(Reference Revenga and Shetty44), which may lead to better food security and consumption of a diversified diet.

The findings revealed that women with poor dietary practices have lower folic acid intake among study participants. This requires efforts to activate public health measures aimed at increasing the consumption of foods, especially those rich in folic acid, and generally improving good dietary practice through a food-based approach, which is clearly stated in Ethiopia's newly developed food and nutrition policies and strategies(45,Reference Duflo46) .

There are many comparative studies in Ethiopia that determined dietary practices of women in the context of NTD, which is a contribution to the literature pool. We acknowledge the limitations of the study, including the inability to assess the nutrient content of foods as part of the dietary practice. Nevertheless, these qualitative measures such as DDS, ASF and FVS have been shown to strongly correlate with nutrient levels and can be used as surrogate markers of nutrient intakes.

Conclusion

The present study highlighted that a significant proportion of the study participants had poor dietary practices regarding food groups with a source of folic acid. The dietary practice has been significantly associated with the proportion of NTDs. This finding indicates the need to consider fortification of staple food, folic acid supplementation prior to conception and nutritional education intervention. Further research is needed to discover the interactions between genetic, epigenetic and other causative risk factors associated with NTDs.

Acknowledgments

The authors acknowledge all study participants, data collectors and supervisors who took part in the study, as well as the kind and cooperative staff of the health facilities in eastern Ethiopia.

A.B. involved in the development of original idea, study concept, design, analysis and writing original draft preparation. T.F. supervised data collection. T.B. supported analysis, writing, review and editing the whole document.

All methods of the present study were carried out in accordance with the Declaration of Helsinki-Ethical principle for medical research involving human subjects. Before beginning data collection, ethical clearance was obtained from the Institutional Review Board (IRB) with a reference number of IHR PGY/738/21. The purpose of the study was informed with detailed information, benefits and the importance of mothers’ participation and their newborn babies, and written informed consent was obtained from participants.

Data cannot be shared for ethical/privacy reasons.

There is no fund grant for this work.

We declare here that we have no conflict of interest.

References

Villar, J, Merialdi, M, Gulmezoglu, AM, et al. (2003) Nutritional interventions during pregnancy for the prevention or treatment of maternal morbidity and preterm delivery: An overview of randomized controlled trials. J Nutr 133, 1606S1625S.CrossRefGoogle ScholarPubMed
Wald, N, Sneddon, J, Densem, J, et al. (1991) Prevention of neural tube defects: results of the Medical Research Council Vitamin Study. Lancet 338, 131137.Google Scholar
Berry, RJ, Li, Z, Erickson, JD, et al. (1999) Prevention of neural-tube defects with folic acid in China. N Engl J Med 341, 14851490.CrossRefGoogle ScholarPubMed
Czeizel, AE (2000) Primary prevention of neural-tube defects and some other major congenital abnormalities. Paediatr Drugs 2, 437449.CrossRefGoogle ScholarPubMed
Watkins, ML & Carmichael, S (2003) Pregnancy Maternal Diet, Vitamins, and Neural Tube Defects. In Encyclopedia of Food science and Nutrition [B, Caballero, LC, Trugo & PC, Finglas Eds.]. London, England: Academic Press.Google Scholar
Carmichael, SL, Shaw, GM, Selvin, S, et al. (2003) Diet quality and risk of neural tube defects. Med Hypotheses 60, 351355.CrossRefGoogle ScholarPubMed
Shaw, GM, Todoroff, K, Carmichael, SL, et al. (2001) Lowered weight gain during pregnancy and risk of neural tube defects among offspring. Int J Epidemiol 30, 6065.CrossRefGoogle ScholarPubMed
Todoroff, K & Shaw, GM (2000) Prior spontaneous abortion, prior elective termination, interpregnancy interval, and risk of neural tube defects. Am J Epidemiol 151, 505511.CrossRefGoogle ScholarPubMed
Wynn, A & Wynn, M (1993) The effects of food shortage on human reproduction. Nutr Health 9, 4352.CrossRefGoogle ScholarPubMed
Stein, Z & Susser, M (1975) The Dutch famine, 1944–1945, and the reproductive process. I. Effects on six indices at birth. Pediatr Res 9, 7076.Google ScholarPubMed
Haddow, J, Hill, L, Kloza, E, et al. (1986) Neural tube defects after gastric bypass. Lancet 327, 1330.CrossRefGoogle Scholar
Sheffer, RN, Shohat, M & Merlob, P (1993) Prolonged maternal diet imbalance and recurrent fetuses with congenital anomalies. Am J Med Genet 45, 398400.CrossRefGoogle ScholarPubMed
Robert, E, Francannet, C & Shaw, G (1995) Neural tube defects and maternal weight reduction in early pregnancy. Reprod Toxicol 9, 5759.CrossRefGoogle ScholarPubMed
WHO (2004) International Statistical Classification of Diseases and Related Health Problems: Alphabetical Index. WHO. https://www.who.int/classifications/icd/ICD10Volume2_en_2010.pdfGoogle Scholar
Taye, M, Afework, M, Fantaye, W, et al. (2018) Factors associated with congenital anomalies in Addis Ababa and the Amhara Region, Ethiopia: a case-control study. BMC Pediatr 18, 111.CrossRefGoogle Scholar
Regassa, IF, Endris, BS, Habtemariam, E, et al. (2021) Development and validation of food frequency questionnaire for food and nutrient intakes of adults in Butajira, southern Ethiopia. J Nutr Sci 10.CrossRefGoogle ScholarPubMed
Custodio, E, Kayikatire, F, Fortin, S, et al. (2020) Minimum dietary diversity among women of reproductive age in urban Burkina Faso. Matern Child Nutr 16, e12897.CrossRefGoogle ScholarPubMed
FAO F (2016) Minimum Dietary Diversity for Women: A Guide to Measurement. Rome: FAO.Google Scholar
Becquey, E & Martin-Prevel, Y (2010) Micronutrient adequacy of women's diet in urban Burkina Faso is low. J Nutr 140, 2079S2085S.CrossRefGoogle ScholarPubMed
FAO F (2007) Guidelines for Measuring Household and Individual Dietary Diversity. Rome, Italy: Food and Agriculture Organization of the United Nations (FAO); The Food and Nutrition Technical Assistance (FANTA) Project.Google Scholar
Wen, LM, Flood, VM, Simpson, JM, et al. (2010) Dietary behaviours during pregnancy: findings from first-time mothers in southwest Sydney, Australia. Int J Behav Nutr Phys Act 7, 17.CrossRefGoogle ScholarPubMed
Shamim, AA, Mashreky, SR, Ferdous, T, et al. (2016) Pregnant women diet quality and its sociodemographic determinants in southwestern Bangladesh. Food Nutr Bull 37, 1426.CrossRefGoogle ScholarPubMed
Demilew, YM, Alene, GD & Belachew, T (2020) Dietary practices and associated factors among pregnant women in West Gojjam Zone, Northwest Ethiopia. BMC Pregnancy Childbirth 20, 111.CrossRefGoogle ScholarPubMed
Belachew, T, Lindstrom, D, Gebremariam, A, et al. (2013) Food insecurity, food based coping strategies and suboptimal dietary practices of adolescents in Jimma zone Southwest Ethiopia. PLoS ONE 8, e57643.CrossRefGoogle ScholarPubMed
Kahanya, KW (2016) Dietary diversity, nutrient intake and nutritional status among pregnant women in Laikipia County, Kenya. International Journal of Health Sciences & Research 6.Google Scholar
Thurstans, S, Turnbull, P, Velly, D, et al. (2011) Edition of the sphere handbook humanitarian charter and minimum standards in humanitarian response. Field Exchange 41, 36.Google Scholar
Fite, MB, Tura, AK, Yadeta, TA, et al. (2022) Prevalence and determinants of dietary practices among pregnant women in eastern Ethiopia. BMC Nutr 8, 110.CrossRefGoogle ScholarPubMed
Kramer, MS (1987) Determinants of low birth weight: Methodological assessment and meta-analysis. Bull World Health Organ 65, 663.Google ScholarPubMed
Gogoi, M & Prusty, RK (2013) Maternal anaemia, pregnancy complications and birth outcome: evidences from north-east India. J North East India Stud 3, 7485.Google Scholar
Evans, C, Hutchinson, J, Christian, M, et al. (2018) Measures of low food variety and poor dietary quality in a cross-sectional study of London school children. Eur J Clin Nutr 72, 14971505.CrossRefGoogle Scholar
Lee, SE, Talegawkar, SA, Merialdi, M, et al. (2013) Dietary intakes of women during pregnancy in low-and middle-income countries. Public Health Nutr 16, 13401353.CrossRefGoogle ScholarPubMed
Torheim, LE, Barikmo, I, Parr, CL, et al. (2003) Validation of food variety as an indicator of diet quality assessed with a food frequency questionnaire for Western Mali. Eur J Clin Nutr 57, 12831291.CrossRefGoogle ScholarPubMed
Gibson, RS (2005) Principles of Nutritional Assessment. USA: Oxford University Press.Google Scholar
Aliwo, S, Fentie, M, Awoke, T, et al. (2019) Dietary diversity practice and associated factors among pregnant women in North East Ethiopia. BMC Res Notes 12, 16.CrossRefGoogle ScholarPubMed
Paik, HY (2008) Dietary reference intakes for Koreans (KDRIs). Asia Pac J Clin Nutr 17(S2), 416419, http://211.76.170.15/server/APJCN/17/s2/416.pdf.Google Scholar
Smithells, R, Seller, M, Harris, R, et al. (1983) Further experience of vitamin supplementation for prevention of neural tube defect recurrences. Lancet 321, 10271031.CrossRefGoogle Scholar
Mulinare, J, Cordero, JF, Erickson, JD, et al. (1988) Periconceptional use of multivitamins and the occurrence of neural tube defects. JAMA 260, 31413145.CrossRefGoogle ScholarPubMed
Bower, C & Stanley, FJ (1989) Dietary folate as a risk factor for neural-tube defects: evidence from a case-control study in Western Australia. Med J Aust 150, 613619.CrossRefGoogle ScholarPubMed
Tsegaye, D, Tamiru, D & Belachew, T (2020) Factors associated with dietary practice and nutritional status of pregnant women in rural communities of Illu aba Bor zone, Southwest Ethiopia. Nutr Diet Suppl 12, 103.CrossRefGoogle Scholar
Kiboi, W, Kimiywe, J & Chege, P (2017) Determinants of dietary diversity among pregnant women in Laikipia County, Kenya: a cross-sectional study. BMC Nutr 3, 18.CrossRefGoogle Scholar
Kever, R, Martins, S, Lola, N, et al. (2015) Knowledge and attitude of pregnant women towards dietary practices in Yerwa Clinic, Maiduguri Metropolitan Council; Borno State. J Res Dev Nurs Midw 4, 1219.Google Scholar
Alemayehu, MS & Tesema, EM (2015) Dietary practice and associated factors among pregnant women in Gondar town north west, Ethiopia, 2014. Int J Nutr Food Sci 4, 707712.CrossRefGoogle Scholar
Shehab, L (2012) Nutritional awareness of women during pregnancy. J Am Sci 8.Google Scholar
Revenga, A & Shetty, S (2012) Empowering women is smart economics: closing gender gaps benefits countries as a whole, not just women and girls. Finance Dev 49. https://www.elibrary.imf.org/view/journals/022/0049/001/article-A012-en.xml.Google Scholar
FMoH E (2019) Federal Democratic Republic of Ethiopia, National Food and Nutrition Strategy. Available at http://repository.iifphc.org/bitstream/handle/123456789/1026/FNP%20Strategy%20Dec%202019.pdf?sequence=1&isAllowed=y.Google Scholar
Duflo, E (2012) Women empowerment and economic development. J Econ Lit 50, 10511079.CrossRefGoogle Scholar
Figure 0

Table 1. Socio-demographic data among the case group and the comparison group in Eastern Ethiopia

Figure 1

Fig. 1. Percentage of foods groups consumed by the case and comparison groups of cohort pregnant women in eastern Ethiopia.

Figure 2

Table 2. Food groups consumed during the 3-month dietary recalls, among participant women's case and comparison group in Eastern Ethiopias

Figure 3

Fig. 2. Prevalence of dietary practice study participants in eastern Ethiopia.

Figure 4

Table 3. Dietary practice and anthropometric indices, between case group and counterpart

Figure 5

Table 4. Parameter estimates from multivariate regression predicting dietary practice among participant women