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van der Pligt PF, Kuswara K, McNaughton SA, Abbott G, Islam SMS, Huynh K, Meikle PJ, Mousa A, Ellery SJ. Maternal diet quality and associations with plasma lipid profiles and pregnancy-related cardiometabolic health. Eur J Nutr 2023; 62:3369-3381. [PMID: 37646831 PMCID: PMC10611854 DOI: 10.1007/s00394-023-03244-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 08/21/2023] [Indexed: 09/01/2023]
Abstract
PURPOSE To assess the relationship of early pregnancy maternal diet quality (DQ) with maternal plasma lipids and indicators of cardiometabolic health, including blood pressure (BP), gestational diabetes mellitus (GDM) and gestational weight gain (GWG). METHODS Women (n = 215) aged 18-40 years with singleton pregnancies were recruited at 10-20 weeks gestation. Diet quality was assessed by the Dietary Guideline Index, calculated at early ([mean ± SD]) (15 ± 3 weeks) and late (35 ± 2 weeks) pregnancy. Lipidomic analysis was performed, and 698 species across 37 lipid classes were measured from plasma blood samples collected at early (15 ± 3 weeks) and mid (27 ± 3 weeks)-pregnancy. Clinical measures (BP, GDM diagnosis, weight) and blood samples were collected across pregnancy. Multiple linear and logistic regression models assessed associations of early pregnancy DQ with plasma lipids at early and mid-pregnancy, BP at three antenatal visits, GDM diagnosis and total GWG. RESULTS Maternal DQ scores ([mean ± SD]) decreased significantly from early (70.7 ± 11.4) to late pregnancy (66.5 ± 12.6) (p < 0.0005). At a false discovery rate of 0.2, early pregnancy DQ was significantly associated with 13 plasma lipids at mid-pregnancy, including negative associations with six triglycerides (TGs); TG(54:0)[NL-18:0] (neutral loss), TG(50:1)[NL-14:0], TG(48:0)[NL-18:0], TG(52:1)[NL-18:0], TG(54:1)[NL-18:1], TG(50:0)[NL-18:0]. No statistically significant associations were found between early pregnancy DQ and BP, GDM or GWG. CONCLUSION Maternal diet did not adhere to Australian Dietary Guidelines. Diet quality was inversely associated with multiple plasma TGs. This study provides novel insights into the relationship between DQ, lipid biomarkers and cardiometabolic health during pregnancy.
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Affiliation(s)
- Paige F van der Pligt
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, Australia.
- Department of Nutrition and Dietetics, Western Health, Footscray, Australia.
| | - Konsita Kuswara
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia
| | - Sarah A McNaughton
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, Australia
| | - Gavin Abbott
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, Australia
| | - Sheikh Mohammed Shariful Islam
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3220, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation (MCHRI), School of Public Health and Preventive Medicine, Monash University, Clayton, VIC, 3168, Australia
| | - Stacey J Ellery
- The Ritchie Centre, Hudson Institute of Medical Research, Clayton, VIC, Australia
- Department of Obstetrics and Gynaecology, Monash University, Clayton, VIC, Australia
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Launbo N, Davidsen E, Granich-Armenta A, Bygbjerg IC, Sánchez M, Ramirez-Silva I, Avila-Jimenez L, Christensen DL, Rivera-Dommarco JA, Cantoral A, Nielsen KK, Grunnet LG. Overlooked paradox of the coexistence of overweight/obesity and anaemia during pregnancy. Nutrition 2022; 99-100:111650. [DOI: 10.1016/j.nut.2022.111650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 02/22/2022] [Accepted: 02/28/2022] [Indexed: 10/18/2022]
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Lima MS, Pereira M, Castro CT, Santos DB. Vitamin D deficiency and anemia in pregnant women: a systematic review and meta-analysis. Nutr Rev 2021; 80:428-438. [PMID: 34969067 DOI: 10.1093/nutrit/nuab114] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
CONTEXT Epidemiological studies suggest an association between vitamin D deficiency and anemia. Evidence of this relationship in pregnant women, however, is scarce. OBJECTIVE The aim of this systematic review was to investigate the association between vitamin D deficiency and gestational anemia through observational studies. DATA SOURCES The PubMed, Scopus, Web of Science, ScienceDirect, Embase, and Virtual Health Library databases were searched from inception to April 2021. STUDY SELECTION Original articles reporting observational studies that investigated the association between vitamin D deficiency and gestational anemia were included. Articles that did not have an abstract, as well as reviews articles, experimental studies, and editorials, were excluded. Two reviewers independently performed study selection, data extraction, and assessment of study quality. Disagreements between the reviewers were resolved by a third reviewer. DATA EXTRACTION Study quality was assessed by 2 scales. Data were extracted from eligible studies and arranged in a 2 × 2 table. Odds ratios with 95% confidence intervals for the risk of the outcome were estimated using a fixed-effect model. RESULTS In total, 985 studies were retrieved, of which 17 were included in the systematic review: 11 cohort studies, 3 case-control studies, and 3 cross-sectional studies. For the meta-analysis, 8 studies with a total of 6530 women were included. There was a 61% increase in the odds of anemia in pregnant women with vitamin D deficiency (OR = 1.61; 95%CI, 1.41-1.83; I2 = 48%). CONCLUSIONS Vitamin D deficiency may be a risk factor for anemia in pregnant women. SYSTEMATIC REVIEW REGISTRATION PROSPERO registration no. CRD42020182697.
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Affiliation(s)
- Michele S Lima
- M.S. Lima is with the Department of Health, Feira de Santana State University, Feira de Santana, Bahia, Brazil. M. Pereira and C.T. Castro are with the Institute of Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil. D.B. Santos is with the Health Sciences Center, Federal University of Recôncavo da Bahia, Santo Antônio de Jesus, Bahia, Brazil
| | - Marcos Pereira
- M.S. Lima is with the Department of Health, Feira de Santana State University, Feira de Santana, Bahia, Brazil. M. Pereira and C.T. Castro are with the Institute of Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil. D.B. Santos is with the Health Sciences Center, Federal University of Recôncavo da Bahia, Santo Antônio de Jesus, Bahia, Brazil
| | - Caroline T Castro
- M.S. Lima is with the Department of Health, Feira de Santana State University, Feira de Santana, Bahia, Brazil. M. Pereira and C.T. Castro are with the Institute of Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil. D.B. Santos is with the Health Sciences Center, Federal University of Recôncavo da Bahia, Santo Antônio de Jesus, Bahia, Brazil
| | - Djanilson B Santos
- M.S. Lima is with the Department of Health, Feira de Santana State University, Feira de Santana, Bahia, Brazil. M. Pereira and C.T. Castro are with the Institute of Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil. D.B. Santos is with the Health Sciences Center, Federal University of Recôncavo da Bahia, Santo Antônio de Jesus, Bahia, Brazil
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The effect of prepregnancy body mass index on maternal micronutrient status: a meta-analysis. Sci Rep 2021; 11:18100. [PMID: 34518612 PMCID: PMC8437962 DOI: 10.1038/s41598-021-97635-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 08/09/2021] [Indexed: 12/17/2022] Open
Abstract
The relationship between prepregnancy body mass index (BMI) and maternal micronutrient status is inconsistent and has not received sufficient attention. This meta-analysis aimed to evaluate the effect of prepregnancy BMI on micronutrient levels in pregnant women. PubMed, Embase, Web of Science, and the Cochrane Library were searched for articles that contained information on micronutrient levels and prepregnancy BMI. A random-effects model was used to determine the association between prepregnancy BMI and maternal micronutrient status. Sixty-one eligible articles were eventually included, with 83,554 participants. Vitamin B12, folate, vitamin D, iron and ferritin were the main micronutrients evaluated in our meta-analysis. Prepregnancy obesity and overweight may lead to an increased risk of micronutrient deficiency, including vitamin B12, folate and vitamin D deficiency, while prepregnancy obesity or overweight may have no significant association with ferritin deficiency. Additionally, the results of the dose-response analyses demonstrated a possible significant inverse correlation between prepregnancy BMI and levels of micronutrient, except for iron and ferritin. Compared with women with normal weight, women who were overweight or obese prepregnancy have lower micronutrient concentrations and are more likely to exhibit micronutrient deficiency during pregnancy, which is harmful to both mothers and neonates.
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Maternal vitamin B12 deficiency and perinatal outcomes in southern India. PLoS One 2021; 16:e0248145. [PMID: 33822790 PMCID: PMC8023483 DOI: 10.1371/journal.pone.0248145] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 02/19/2021] [Indexed: 12/16/2022] Open
Abstract
Background Vitamin B12 deficiency during pregnancy has been associated with adverse maternal and infant health outcomes. Few prospective studies have investigated vitamin B12 status early in pregnancy, and its links to infant vitamin B12 status, particularly in India where the burden of vitamin B12 deficiency is estimated to be the highest globally. The objective of this study was to examine the associations of maternal vitamin B12 biomarkers with neonatal vitamin B12 status. Methods Pregnant women (~12 weeks’ gestation) were enrolled in a perinatal cohort study in Bangalore, India. Total vitamin B12, methylmalonic acid (MMA), and homocysteine concentrations were evaluated in maternal samples at enrollment and in neonates at birth using cord blood. Linear and binomial regression models were used to evaluate the associations of maternal vitamin B12 biomarkers with neonatal vitamin B12 status and perinatal outcomes. Results A total of 63.2% of women had vitamin B12 deficiency (<148 pmol/L), 87.2% had vitamin B12 insufficiency (<221 pmol/L), and 47.3% had impaired vitamin B12 status (vitamin B12<148 pmol/L and MMA>0.26μmol/L) at enrollment; 40.8% of neonates had vitamin B12 deficiency, 65.6% were insufficiency, and 38.1% had impaired vitamin B12 status at birth. Higher maternal vitamin B12 concentrations at enrollment were associated with increased neonatal vitamin B12 concentrations (β(SE): 0.40 (0.05); p<0.0001) and lower risk of neonatal vitamin B12 deficiency (Risk Ratio [RR]: 0.53; 95% CI: [0.43, 0.65]; p<0.0001). Maternal vitamin B12 deficiency (RR: 1.97 [1.43, 2.71]; p<0.001), insufficiency (RR: 2.18 [1.23, 3.85]; p = 0.007), and impaired vitamin B12 status (RR: 1.49 [1.13, 1.97]; p = 0.005) predicted a two-fold increase in the risk of neonatal vitamin B12 deficiency at birth. Conclusions The prevalence of vitamin B12 deficiency was high early in pregnancy and predicted neonatal vitamin B12 status. Future research is needed to determine the role of vitamin B12 in the development of pregnancy and infant outcomes, and to inform screening and interventions to improve maternal and child health.
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Bhowmik B, Siddiquee T, Mdala I, Quamrun Nesa L, Jahan Shelly S, Hassan Z, Moreira NCDV, Jahan I, Azad Khan AK, Hitman GA, Hussain A. Vitamin D3 and B12 supplementation in pregnancy. Diabetes Res Clin Pract 2021; 174:108728. [PMID: 33662489 DOI: 10.1016/j.diabres.2021.108728] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 02/08/2021] [Accepted: 02/12/2021] [Indexed: 11/26/2022]
Abstract
AIM To assess the efficacy of vitamin D3 or B12 supplementation during pregnancy. METHODS Pregnant women at 6-14 weeks in the intervention arm received oral high dose intermittent vitamin D3 and/or low dose B12 supplementation if they had vitamin D or vitamin B12 deficiency. The control arm received prescribed dietary instruction only. An additional observational arm for those mothers at booking with normal vitamin D and vitamin B12 level was also recruited. All groups received standard care during pregnancy. RESULTS The primary endpoint of either vitamin D or B12 at term was not met. At baseline 25% participants in both the interventional and control arms had severe D deficiency (<30 nmol/l), reducing to under 3.4% in both groups. No maternal differences in vitamin D or B12 levels were found at delivery between the intervention, control, or observational groups. No significant difference in any of the pregnancy or birth outcomes was observed between three groups. CONCLUSIONS In this study, oral supplementation of high dose intermittent vitamin D or low dose vitamin B12 regime failed to correct the relevant nutritional deficiencies in Bangladeshi pregnant women as per protocol. Both dietary supplementation and high dose vitamin D corrected severe vitamin deficiency.
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Affiliation(s)
- Bishwajit Bhowmik
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka 1200, Bangladesh
| | - Tasnima Siddiquee
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka 1200, Bangladesh
| | - Ibrahimu Mdala
- Institute of Health and Society, Faculty of Medicine, University of Oslo, 0318 Oslo, Norway
| | - Liya Quamrun Nesa
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka 1200, Bangladesh
| | - Samsad Jahan Shelly
- Department of Obstetrics and Gynecology, Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders, Dhaka 1200, Bangladesh
| | - Zahid Hassan
- Department of Biochemistry & Cell Biology, Bangladesh University of Health Sciences, Dhaka 1216, Bangladesh
| | - Nayla Cristina do V Moreira
- Faculty of Medicine, Federal University of Ceara (FAMED-UFC), Fortaleza-Ceara 60020-181, Brazil; Institute of Health and Society, Faculty of Medicine, University of Oslo, 0318 Oslo, Norway
| | - Ishrat Jahan
- Maternal and Child Health Training Institute, Azimpur, Dhaka 1205, Bangladesh
| | - A K Azad Khan
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka 1200, Bangladesh
| | - Graham A Hitman
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, 4 Newark Street, London E1 2AT, United Kingdom
| | - Akhtar Hussain
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka 1200, Bangladesh; Faculty of Medicine, Federal University of Ceara (FAMED-UFC), Fortaleza-Ceara 60020-181, Brazil; Faculty of Health Sciences, Nord University, Bodø 8049, Norway; International Diabetes Federation (IDF), 166 Chaussee de La Hulpe, B - 1170 Brussels, Belgium.
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Vitamin B12 deficiency and altered one-carbon metabolites in early pregnancy is associated with maternal obesity and dyslipidaemia. Sci Rep 2020; 10:11066. [PMID: 32632125 PMCID: PMC7338455 DOI: 10.1038/s41598-020-68344-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 04/22/2020] [Indexed: 02/07/2023] Open
Abstract
Vitamin B12 (B12) is a micronutrient essential for one-carbon (1C) metabolism. B12 deficiency disturbs the 1C cycle and alters DNA methylation which is vital for most metabolic processes. Studies show that B12 deficiency may be associated with obesity, insulin resistance and gestational diabetes; and with obesity in child-bearing women. We therefore hypothesised that the associations between B12 deficiency, BMI and the metabolic risk could be mediated through altered 1C metabolites in early pregnancy. We explored these associations in two different early pregnancy cohorts in the UK (cohort 1; n = 244 and cohort 2; n = 60) with anthropometric data at 10-12 weeks and plasma/serum sampling at 16-18 weeks. B12, folate, total homocysteine (tHcy), methionine, MMA, metabolites of 1C metabolism (SAM, SAH) and anthropometry were measured. B12 deficiency (< 150 pmol/l) in early pregnancy was 23% in cohort 1 and 18% in cohort 2. Regression analysis after adjusting for likely confounders showed that B12 was independently and negatively associated with BMI (Cohort 1: β = - 0.260, 95% CI (- 0.440, - 0.079), p = 0.005, Cohort 2: (β = - 0.220, 95% CI (- 0.424, - 0.016), p = 0.036) and positively with HDL cholesterol (HDL-C) (β = 0.442, 95% CI (0.011,0.873), p = 0.045). We found that methionine (β = - 0.656, 95% CI (- 0.900, - 0.412), p < 0.0001) and SAH (β = 0.371, 95% CI (0.071, 0.672), p = 0.017) were independently associated with triglycerides. Low B12 status and alteration in metabolites in 1C metabolism are common in UK women in early pregnancy and are independently associated with maternal obesity and dyslipidaemia. Therefore, we suggest B12 monitoring in women during peri-conceptional period and future studies on the pathophysiological relationship between changes in 1C metabolites and its association with maternal and fetal outcomes on larger cohorts. This in turn may offer potential to reduce the metabolic risk in pregnant women and their offspring.
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Means RT. Iron Deficiency and Iron Deficiency Anemia: Implications and Impact in Pregnancy, Fetal Development, and Early Childhood Parameters. Nutrients 2020; 12:nu12020447. [PMID: 32053933 PMCID: PMC7071168 DOI: 10.3390/nu12020447] [Citation(s) in RCA: 100] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 02/03/2020] [Accepted: 02/06/2020] [Indexed: 12/16/2022] Open
Abstract
A normal pregnancy consumes 500–800 mg of iron from the mother. Premenopausal women have a high incidence of marginal iron stores or iron deficiency (ID), with or without anemia, particularly in the less developed world. Although pregnancy is associated with a “physiologic” anemia largely related to maternal volume expansion; it is paradoxically associated with an increase in erythrocyte production and erythrocyte mass/kg. ID is a limiting factor for this erythrocyte mass expansion and can contribute to adverse pregnancy outcomes. This review summarizes erythrocyte and iron balance observed in pregnancy; its implications and impact on mother and child; and provides an overview of approaches to the recognition of ID in pregnancy and its management, including clinically relevant questions for further investigation.
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Affiliation(s)
- Robert T. Means
- Departments of Internal Medicine, Medical Education, and Pathology, James H. Quillen College of Medicine, East Tennessee State University, Johnson City, TN 37614, USA; ; Tel.: +1-423-439-6499; Fax: +1-423-439-6470
- Internal Medicine, Building 2/Room 109, Quillen College of Medicine, East Tennessee State University, Johnson City, TN 37614, USA
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Bhowmik B, Siddique T, Majumder A, Mdala I, Hossain IA, Hassan Z, Jahan I, Moreira NCDV, Alim A, Basit A, Hitman GA, Khan AKA, Hussain A. Maternal BMI and nutritional status in early pregnancy and its impact on neonatal outcomes at birth in Bangladesh. BMC Pregnancy Childbirth 2019; 19:413. [PMID: 31711436 PMCID: PMC6849244 DOI: 10.1186/s12884-019-2571-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Accepted: 10/25/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND To assess the maternal characteristics and nutritional status according to body mass index (BMI) at 6-14 weeks of gestation and to examine the relationship between maternal nutritional status in early pregnancy and its impact on neonatal birth weight. METHODS The investigation was conducted from April 2011 to June 2012 in Dhaka, Bangladesh. A total of 498 primigravida pregnant women participated in the study; women with known diabetes or previous gestational diabetes (GDM) were excluded. Maternal demographic details, pregnancy history and anthropometric measurements were obtained from the mother at the recruitment (6-14 weeks), 2nd visit between 24 and 28 week of gestation and 3rd visit at delivery. Cord venous blood samples of newborns (n = 138) were collected immediately after delivery for blood glucose, insulin, lipid profile, leptin and micronutrients including serum folate, ferritin, homocysteine, vitamin D, and vitamin B12. RESULTS The prevalence at 6-14 weeks of pregnancy of anemia (Hb, < 11 g/dl), vitamin D deficiency (< 30 nmol/l), vitamin B12 deficiency (< 200 pg/ml), high homocysteine level (> 15 μmol/l), folate deficiency (< 3 ng/ml) and iron deficiency (ferritin < 13 ng/ml) were 19.5, 46.4, 15.1, 1.2, 0.4, and 12.7% respectively. GDM was found in 18.4% women. The prevalence of GDM was higher in overweight women (28.1%) than underweight (16.7%) and normal weight women (16.0%: p < 0.05). The incidence of low birth weight (LBW) and preterm delivery were 11.6 and 5.8% respectively and was not related to maternal BMI at 6-14 weeks of pregnancy. Maternal height was positively (p = 0.02), and homocysteine was negatively associated with neonatal birth weight (p = 0.02). In addition, the newborn's cord serum folate was positively (p = 0.03) and cord triglyceride was negatively (p = 0.03) associated with neonatal birth weight. CONCLUSION Multiple maternal micronutrient deficiencies were present in early pregnancy. Maternal BMI in early pregnancy was not related to preterm deliveries or LBW. LBW was associated with lower folate, elevated cord triglyceride concentrations of the neonates and mother's height and increase in maternal homocysteine levels. The data has important implications for pregnancy care in Bangladesh and other similar communities.
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Affiliation(s)
- Bishwajit Bhowmik
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka, 1200 Bangladesh
- Institute of Health and Society, Faculty of Medicine, University of Oslo, 0318 Oslo, Norway
- Centre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, 1000 Bangladesh
| | - Tasnima Siddique
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka, 1200 Bangladesh
| | - Anindita Majumder
- Department of Pathology, Ibrahim Medical College, Diabetic Association of Bangladesh, Dhaka, 1200 Bangladesh
| | - Ibrahimu Mdala
- Institute of Health and Society, Faculty of Medicine, University of Oslo, 0318 Oslo, Norway
| | - Israt A. Hossain
- Department of Biochemistry & Cell Biology, Bangladesh University of Health Sciences, Dhaka, 1216 Bangladesh
| | - Zahid Hassan
- Dept of Physiology and Molecular Biology, Bangladesh University of Health Sciences, Dhaka, 1216 Bangladesh
| | - Ishrat Jahan
- Maternal and Child Health Training Institute, Dhaka, Azimpur 1205 Bangladesh
| | - Nayla Cristina do V. Moreira
- Institute of Health and Society, Faculty of Medicine, University of Oslo, 0318 Oslo, Norway
- Faculty of Medicine, Federal University of Ceara (FAMED-UFC), Fortaleza, Ceara 60020-181 Brazil
| | - Abdul Alim
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka, 1200 Bangladesh
- Non Communicable Disease Control, DGHS, Mohakhali Dhaka, Bangladesh
| | - Abdul Basit
- Baquai Institute of Diabetology and Endocrinology, Baquai Medical University, Karachi, Pakistan
| | - Graham A. Hitman
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, 4 Newark Street: London E1 2AT, London, United Kingdom
| | - Abul Kalam A. Khan
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka, 1200 Bangladesh
| | - Akhtar Hussain
- Centre of Global Health Research, Diabetic Association of Bangladesh, Dhaka, 1200 Bangladesh
- Faculty of Health Sciences, Nord University, 8049 Bodø, Norway
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Wei L, Cao D, Zhu X, Long Y, Liu C, Huang S, Tian J, Hou Q, Huang Y, Ye J, Luo B, Luo Y, Liang C, Li M, Yang X, Mo Z, Xu J. High maternal osteocalcin levels during pregnancy is associated with low birth weight infants: A nested case-control study in China. Bone 2018; 116:35-41. [PMID: 30010079 DOI: 10.1016/j.bone.2018.07.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2018] [Revised: 06/15/2018] [Accepted: 07/12/2018] [Indexed: 01/29/2023]
Abstract
BACKGROUND Low birth weight infants (LBW) are at risk of chronic diseases in later life due to the disorder of energy metabolism during pregnancy. Osteocalcin (OC) has been identified as a hormone that regulate energy metabolism. However, few studies have researched on the associations between maternal serum OC levels and low birth weight infants. OBJECTIONS To examine the associations between maternal serum OC concentrations and LBW. METHODS This was a nested case-control study involving a total of 230 pregnant women delivering LBW and 382 control pregnant women (matched for infant gender, gestational age at blood draw, region of Maternity and Child Healthcare Hospital and maternal age in 1: (1-2) ratio). One serum sample was collected from each pregnant woman at 5-35 weeks' gestation. Pregnant women were divided into 3 groups (1st, 2nd and 3rd trimester group). There were 60 and 142 and 28 pregnant women delivering LBW in the first, second and third trimester, respectively. Similarly, there were 101 and 233 and 48 controls in the first, second and third trimester, respectively. Maternal serum OC and 25(OH)D concentrations were categorized into low and high levels, the low level used as reference in analyses. Binary logistic regression model was used to compute odd radio (ORs) for LBW according to levels of maternal serum OC and 25(OH)D. RESULTS Compared with the subjects in low level in first trimester, LBW was two times as likely to occur among pregnancy women with high serum OC concentrations (OR = 2.04, 95%CI:1.05-3.96). After adjusted for confounding factors, a significant positive relationship still existed (adjusted ORs = 2.29, 95%CI: 1.11-4.72). In second trimester, women in high level of serum OC had nearly 1.6 times the risk of delivering LBW infants as those in the low level (OR = 1.55, 95%CI: 1.01-2.37). After adjusted for confounding factors, the ORs increased (ORs = 1.59, 95%CI:1.03-2.45). No significant associations were found between maternal serum OC levels and LBW in third trimester. In addition, there were no associations between maternal 25(OH)D concentrations and LBW during pregnancy. CONCLUSION High maternal serum OC levels in the first or the second trimester during pregnancy may be associated with the risk of LBW.
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Affiliation(s)
- Luyun Wei
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Dehao Cao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Xiujuan Zhu
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Yu Long
- Department of Gynecology and Obstetrics, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Chaoqun Liu
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi, China
| | - Shengzhu Huang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Jiarong Tian
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Qingzhi Hou
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Yaling Huang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Juan Ye
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Bangzhu Luo
- Department of Medical Services Section, Maternal & Child Health Hospital of Guigang, Guigang, Guangxi, China
| | - Ying Luo
- Department of Pediatrics, Maternal & Child Health Hospital of Wuzhou, Wuzhou, Guangxi, China
| | - Chunmei Liang
- Department of Gynecology and Obstetrics, Maternal & Child Health Hospital of Yuzhou, Yulin, Guangxi, China
| | - Mujun Li
- Department of Reproductive Center, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Xiaobo Yang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; Department of Occupational Health and Environmental Health, School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
| | - Jianfeng Xu
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China; Guangxi key Laboratory for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, Guangxi, China; Guangxi Key Laboratory of Colleges and Universities, Nanning, Guangxi, China; School of Public Health of Guangxi Medical University, Nanning, Guangxi, China; Program for Personalized Cancer Care, NorthShore University Health System, Evanston, IL, USA.
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