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Aboukhater D, Elzarea A, Campbell S, Hatton W, DeYoung T, Waller J, Kawakita T. Transvaginal Cervical Screening in Individuals with Previous Late Preterm Birth. Am J Perinatol 2025. [PMID: 39993413 DOI: 10.1055/a-2526-5492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/26/2025]
Abstract
OBJECTIVE This study aimed to assess the effectiveness of ultrasound cervical length (CL) screening in reducing preterm births among individuals with various preterm birth histories, aiming to optimize prevention strategies. STUDY DESIGN This retrospective cohort study included 576 pregnant individuals with singleton pregnancies and a history of preterm birth, who underwent transvaginal ultrasound CL screening between January 2014 and December 2020. The primary outcome was the detection of a short cervix (≤2.5 cm). We compared outcomes among individuals with a previous gestational age (GA) of 34 to 36, 28 to 33, 24 to 27, and <24 weeks. Adjusted relative risks (aRRs) with 95% confidence intervals (95% CIs) were calculated using modified Poisson's regression with robust variance, controlling for predefined confounders. RESULTS Of 576 (35%), 139 (24.1%) had a previous birth at 34 to 36 weeks, 129 (22.4%) had a previous birth at 28 to 33 weeks, 90 (15.6%) had a previous birth at 24 to 27 weeks, and 218 (37.8%) had a previous birth <24 weeks. Compared with individuals with a previous GA 34 to 36 weeks, the risk of short cervix was higher in those with a previous <24 weeks (21.6 vs. 52.8%, aRR = 2.56, 95% CI: 1.81-3.62) and GA 24 to 27 weeks (40.0%, aRR = 1.80, 95% CI: 1.20-2.71), but no difference was found with those with previous GA 28 to 33 weeks (24.8%, aRR = 1.12, 95% CI: 0.72-1.72). Compared with individuals with previous GA 28 to 33 weeks, individuals with prior GA 34 to 36 weeks had the same risk of cerclage placement and preterm birth <34 weeks, but a lower risk of composite neonatal outcomes. CONCLUSION Based on our results of similar incidence of the short cervix between individuals with previous GA 34 to 36 weeks and those with previous GA 28 to 33 weeks, individuals with a history of late preterm birth should receive CL screening in a similar manner. KEY POINTS · Similar short cervix for prior 34 to 36 versus 28 to 33 weeks.. · Lower risk of neonatal outcomes in the prior 34 to 36 weeks of birth.. · Screening is warranted for any prior preterm birth..
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Affiliation(s)
- Diana Aboukhater
- Department of Obstetrics and Gynecology, Macon and Joan Brock Virginia Health Sciences at ODU, Norfolk, Virginia
| | - Amira Elzarea
- Department of Obstetrics and Gynecology, Macon and Joan Brock Virginia Health Sciences at ODU, Norfolk, Virginia
| | - Shaida Campbell
- Department of Obstetrics and Gynecology, Macon and Joan Brock Virginia Health Sciences at ODU, Norfolk, Virginia
| | - Wave Hatton
- Department of Obstetrics and Gynecology, Macon and Joan Brock Virginia Health Sciences at ODU, Norfolk, Virginia
| | - Tracey DeYoung
- Department of Obstetrics and Gynecology, U.S. Navy Hospital in Okinawa, Ginowan, Okinawa, Japan
| | - Jerri Waller
- Department of Obstetrics and Gynecology, Macon and Joan Brock Virginia Health Sciences at ODU, Norfolk, Virginia
| | - Tetsuya Kawakita
- Department of Obstetrics and Gynecology, Macon and Joan Brock Virginia Health Sciences at ODU, Norfolk, Virginia
- Center for Maternal and Child Health Equity and Advocacy, Eastern Virginia Medical School, Norfolk, Virginia
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Li T, Wang Z, Xiao Z, Feng C, Sun Z, Mao D, Zhou P, Yuan C, Zhao D, Shang W, Liu Y, Yuan C, Hong L, Zang J, Zong G. Associations of Cooking Salt Intake During Pregnancy with Low Birth Weight and Small for Gestational Age Newborns: A Large Cohort Study. Nutrients 2025; 17:642. [PMID: 40004968 PMCID: PMC11858035 DOI: 10.3390/nu17040642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2025] [Revised: 02/04/2025] [Accepted: 02/06/2025] [Indexed: 02/27/2025] Open
Abstract
Background: Excessive salt intake has been strongly associated with multiple health conditions, while evidence linking salt consumption during pregnancy and birth outcomes remains limited. We aimed to investigate the association between salt intake during pregnancy and adverse outcomes of birth weight. Methods: Our study was based on a prospective cohort study that has followed 4267 mother-child pairs since 2017 in Shanghai, China. Salt consumption was estimated based on the cooking salt and soy sauce from household condiments consumed, weighing measurements over a week, and then categorized into <5.0 (reference), 5.0-10.0, and ≥10.0 g/day. Salt density was calculated as the amount of salt divided by the total energy intake from food frequency questionnaires. Outcomes related to birth weight were defined according to standard clinical cutoffs, including low birth weight (LBW), macrosomia, small for gestational age (SGA), and large for gestational age (LGA). Results: Multivariable-adjusted odds ratios (ORs) of LBW were 1.72 (95% CI 1.01-2.91) for 5.0-10.0 g/day salt intake, and 2.06 (95% CI 1.02-4.13) for ≥10.0 g/day, compared to those of <5.0 g/day (p-trend = 0.04). For SGA, ORs were 1.46 (95% CI 1.09-1.97) for 5.0-10.0 g/day and 1.69 (95% CI 1.16-2.47; p-trend = 0.006) for ≥10.0 g/day. Similarly, the OR comparing the extreme tertile (high vs. low) of salt density was 1.91 (95% CI 1.08-3.36; p-trend = 0.01) for LBW and 1.63 (95% CI 1.18-2.25; p-trend < 0.001) for SGA. No significant associations were observed for salt intake in relation to macrosomia or LGA. These findings remain stable in all sensitivity and subgroup analyses. Conclusions: In this study, habitual cooking salt intake above 5 g/day was associated with increased risks of LBW and SGA, which warrants confirmation by interventional studies.
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Affiliation(s)
- Tongtong Li
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhengyuan Wang
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Zilin Xiao
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Chengwu Feng
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhuo Sun
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Dou Mao
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Puchen Zhou
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Caimei Yuan
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Danyang Zhao
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Wanning Shang
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yunman Liu
- Department of Clinical Nutrition, Shanghai Children’s Medical Center Affiliated to School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Changzheng Yuan
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Li Hong
- Department of Clinical Nutrition, Shanghai Children’s Medical Center Affiliated to School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Jiajie Zang
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Geng Zong
- Institute of Nutrition, Fudan University, No.130 Dong-An Road, Shanghai 200032, China
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Adeoye IA, Unogu CO, Adediran K, Gbadebo BM. Determinants of Adverse Perinatal Outcomes in Ibadan, Nigeria: The influence of maternal lifestyle. PLOS GLOBAL PUBLIC HEALTH 2025; 5:e0004199. [PMID: 39888941 PMCID: PMC11785315 DOI: 10.1371/journal.pgph.0004199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 01/02/2025] [Indexed: 02/02/2025]
Abstract
Adverse perinatal outcomes (APO) are unfavourable incidents of at least one of the following: low birth weight, preterm delivery, stillbirths, neonatal deaths, and perinatal deaths. They contribute significantly to neonatal and infant morbidity and mortality, developmental abnormalities, and long-term impairments. Studies are lacking on the influence of maternal lifestyle on APO in Nigeria. Hence, we investigated the determinants of APO using the Ibadan Pregnancy Cohort Study (IbPCS) data and examined 1,339 mothers who had hospital delivery. The outcome variable was APO (low birth weight, birth asphyxia and preterm delivery). Explanatory variables comprised Antepartum Depression (Edinburgh Depression Scale ≥ 12), Physical activity (Pregnancy Physical Activity Questionnaire (PPAQ), Dietary pattern (Qualitative Food Frequency Questionnaire (FFQ), Maternal Stress (Perceived Stress Scale), Alcohol consumption, and Tobacco exposure. We used binary and multiple logistic regression to assess the associations between the risk factors and adverse perinatal outcomes at a significant P-value <0.05. Prevalence of APO was 26.7%, 95%CI (24.4-29.1); low birth weight - 8.5%, 95%CI (7.0-10.1) preterm delivery 14.8%, 95% CI (12.9-16.7); birth asphyxia 16.3%, 95%CI (14.0-18.9). The factors associated with LBW were being a female infant AOR: 2.00, 95%CI (1.13 -3.52); emergency caesarean section AOR: 2.40, 95%CI (1.06-5.42); a history of hypertension in pregnancy AOR: 3.34, 95%CI (1.45 -7.52). Preterm birth was associated with being poor AOR: 2.00, 95%CI (1.13 -3.52); history of stillbirth AOR: 2.05, 95%CI (1.14-3.68); antepartum depression AOR: 1.87, 95%CI (1.08-3.25). Of the lifestyle factors examined, only a high protein diet with a non-alcoholic beverage dietary pattern had a statistically significant association with preterm birth [AOR: 0.50, 95%CI (1.08-3.52)]. However, lifestyle factors had no significant association with LBW and birth asphyxia in our study. Understanding these risk factors can help policymakers and healthcare professionals create cost-effective interventions to curtail the burden of APO in Nigeria.
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Affiliation(s)
- Ikeola A. Adeoye
- Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Consortium of Advanced Research Training in Africa, Nairobi, Kenya
| | - Chioma O. Unogu
- Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Kofoworola Adediran
- Institute of Child Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Babatunde M. Gbadebo
- Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Nigeria
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Fikadu T, Tamiru D, Ademe BW. Factors associated with dietary patterns (DPS) and nutritional status among pregnant women in AM-HDSS, South Ethiopia. Front Nutr 2024; 11:1443227. [PMID: 39346644 PMCID: PMC11428162 DOI: 10.3389/fnut.2024.1443227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Accepted: 08/28/2024] [Indexed: 10/01/2024] Open
Abstract
Background Malnutrition during pregnancy increases the risk of chronic illness later in life and adverse birth outcomes in subsequent generations. In this regard, consumption of diets rich in adequate energy, protein, vitamins, and minerals from a variety of foods is essential. Evidence on the status of maternal dietary pattern is very crucial. Hence, the aim of this study was to assess factors associated with dietary patterns and nutritional status of pregnant women in South Ethiopia. Methods A community-based cross-sectional study was conducted among 638 randomly selected pregnant women using a validated, a pre-tested, contextualized food frequency questionnaire using interviewer-administered structured questionnaire by digital open-source toolkit. Principal component factor analysis was employed to determine dietary patterns. Bivariable and multivariable ordinal logistic regression analyses were used to identify factors associated with dietary patterns and nutritional status, using STATA version 16. Result The dietary habits of pregnant women were best explained by three distinct dietary patterns. Urban dwellers (AOR = 2.18; 95% CI: 1.33, 3.59), from high socio-economic status (AOR = 2.43; 95% CI: 1.68, 3.51), from middle socio-economic status (AOR = 1.72; 95% CI: 1.19, 2.48), primigravida mothers (AOR = 1.72; 95% CI: 1.07, 2.78), and multigravida mothers (AOR = 2.08; 95% CI: 1.39, 3.10) were high likelihood to consume the highest tercile of "Cereals-Pulses and Dairy" compared to rural dwellers, from low socio-economic status and grand multigravida, respectively. Attending formal education (AOR = 1.60; 95% CI: 1.02, 2.51), from higher socioeconomic status (AOR = 1.56; 95% CI: 1.02, 2.38), not having food aversion (AOR = 1.98; 95% CI: 1.16, 3.39), and had good dietary knowledge (AOR = 2.16; 95% CI: 1.08, 4.32) were associated with a higher tercile consumption of "Nutrient-Dense" food compared to those without formal education, having food aversion and had poor dietary knowledge, respectively. Not attending formal education (AOR = 2.22; 95% CI: 1.48, 3.36), had decision-making autonomy (AOR = 1.91; 95% CI: 1.26, 2.90), and had good dietary knowledge (AOR = 1.86; 95% CI: 1.13, 3.08) were found to consume the highest tercile of "Leafy local food" compared to their counterpart. Consumption of lower terciles "Nutrient-Dense" food (AOR = 1.63; 95% CI: 1.07, 2.47) and "Leafy local food" (AOR = 2.32; 95% CI: 1.54, 3.51) were found to be factors associated with under nutrition during pregnancy. Conclusion Three distinct dietary patterns were identified. Factors associated with these major dietary patterns included place of residence, socio-economic status, educational level, dietary knowledge, food aversion, number of pregnancies, and maternal decision-making autonomy. Under nutrition among pregnant women was found to be high and associated with the consumption of 'Nutrient-Dense' and 'Leafy local' foods. Therefore, concerned health authorities should strengthen dietary counseling during pregnancy, provide family planning services, and promote women's education.
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Affiliation(s)
- Teshale Fikadu
- School of Public Health, College of Medicine and Health Science, Arba Minch University, Arba Minch, Ethiopia
- Department of Nutrition and Dietetics, Institute of Health, Jimma University, Jimma, Ethiopia
| | - Dessalegn Tamiru
- Department of Nutrition and Dietetics, Institute of Health, Jimma University, Jimma, Ethiopia
| | - Beyene Wondafrash Ademe
- Department of Nutrition and Dietetics, Institute of Health, Jimma University, Jimma, Ethiopia
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Li T, He Y, Wang N, Feng C, Zhou P, Qi Y, Wang Z, Lin X, Mao D, Sun Z, Sheng A, Su Y, Shen L, Li F, Cui X, Yuan C, Wang L, Zang J, Zong G. Maternal dietary patterns during pregnancy and birth weight: a prospective cohort study. Nutr J 2024; 23:100. [PMID: 39198813 PMCID: PMC11351029 DOI: 10.1186/s12937-024-01001-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 08/13/2024] [Indexed: 09/01/2024] Open
Abstract
BACKGROUND Existing data on maternal dietary patterns and birth weight remains limited and inconsistent, especially in non-Western populations. We aimed to examine the relationship between maternal dietary patterns and birth weight among a cohort of Chinese. METHODS In this study, 4,184 mother-child pairs were included from the Iodine Status in Pregnancy and Offspring Health Cohort. Maternal diet during pregnancy was evaluated using a self-administered food frequency questionnaire with 69 food items. Principal component analysis was used to identify dietary patterns. Information on birth weight and gestational age was obtained through medical records. Adverse outcomes of birth weight were defined according to standard clinical cutoffs, including low birth weight, macrosomia, small for gestational age, and large for gestational age. RESULTS Three maternal dietary patterns were identified: plant-based, animal-based, and processed food and beverage dietary patterns, which explained 23.7% variance in the diet. In the multivariate-adjusted model, women with higher adherence to the plant-based dietary patten had a significantly higher risk of macrosomia (middle tertile vs. low tertile: odds ratio (OR) 1.45, 95% CI 1.00-2.10; high tertile vs. low tertile: OR 1.55, 95% CI 1.03-2.34; P-trend = 0.039). For individual food groups, potato intake showed positive association with macrosomia (high tertile vs. low tertile: OR 1.72, 95% CI 1.20-2.47; P-trend = 0.002). Excluding potatoes from the plant-based dietary pattern attenuated its association with macrosomia risk. No significant associations was observed for the animal-based or processed food and beverage dietary pattern with birth weight outcomes. CONCLUSIONS Adherence to a plant-based diet high in carbohydrate intake was associated with higher macrosomia risk among Chinese women. Future studies are required to replicate these findings and explore the potential mechanisms involved.
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Affiliation(s)
- Tongtong Li
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China
| | - Yusa He
- Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Nan Wang
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China
| | - Chengwu Feng
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China
| | - Puchen Zhou
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China
| | - Ye Qi
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Zhengyuan Wang
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200336, China
| | - Xiaojun Lin
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Dou Mao
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China
| | - Zhuo Sun
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200336, China
| | - Aili Sheng
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China
| | - Yang Su
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China
| | - Liping Shen
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200336, China
| | - Fengchang Li
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China
| | - Xueying Cui
- Department of Nutrition, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Changzheng Yuan
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, Zhejiang, China
| | - Liang Wang
- Department of Public Health, Marshall University, West Virginia, USA
- Marshall Global Health Institute, Marshall University, West Virginia, USA
| | - Jiajie Zang
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, 200336, China.
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd, Shanghai, 200031, China.
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Zhang Y, Zhao Y, Duan Y, Liu C, Yang Z, Duan J, Cui Z. Effects of prepregnancy dietary patterns on infant birth weight: a prospective cohort study. J Matern Fetal Neonatal Med 2023; 36:2273216. [PMID: 37904502 DOI: 10.1080/14767058.2023.2273216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 10/16/2023] [Indexed: 11/01/2023]
Abstract
BACKGROUND Maternal nutrition can have a profound effect on fetal growth, development, and subsequent infant birth weight. However, little is known regarding the influence of prepregnancy dietary patterns. OBJECTIVES This study aimed to explore the effects between prepregnancy dietary patterns on birth weight. METHODS This study included 911 singleton live-born infants from the Taicang and Wuqiang Mother-Child Cohort Study (TAWS). Baseline information and prepregnancy diet data were collected during early pregnancy. Newborn birth information was obtained from the Wuqiang County Hospital. Macrosomia, defined as a birth weight of ≥4000 g, and large for gestational age (LGA), defined as a birth weight higher than the 90th percentile for the same sex and gestational age, were the outcomes of interest. The dietary patterns were extracted using principal component analysis. Logistic regression models were used to investigate the association between prepregnancy dietary patterns (in tertiles) and macrosomia and LGA, and subgroup analysis was further explored by pre-pregnancy body mass index (BMI). RESULTS Four dietary patterns were identified based on 15 food groups. These patterns were named as "cereals-vegetables-fruits," "vegetables-poultry-aquatic products," "milk-meat-eggs," and "nuts-aquatic products-snacks." After adjusting for sociodemographic characteristics, pregnancy complications, and other dietary patterns, greater adherence to the "cereals-vegetables-fruits" pattern before pregnancy was associated with a higher risk of macrosomia (adjusted OR = 2.220, 95% CI: 1.018, 4.843), while greater adherence to the "nuts-aquatic products-snacks" pattern was associated with a lower risk of macrosomia (adjusted OR = 0.357, 95% CI: 0.175, 0.725) compared to the lowest tertile. No significant association was observed between prepregnancy dietary patterns and LGA. However, after subgroup analysis of pre-pregnancy BMI, "cereals-vegetables-fruits" pattern was associated with an increased risk of LGA in overweight and obese mothers (adjusted OR = 2.353, 95% CI: 1.010, 5.480). CONCLUSIONS An unbalanced pre-pregnancy diet increases the risk of macrosomia and LGA, especially in overweight or obese women before pre-pregnancy.
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Affiliation(s)
- Yiman Zhang
- School of Public Health, North China University of Science and Technology, Tangshan, China
| | - Yongli Zhao
- Institute for Nutrition and Food Safety, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
| | - Yifan Duan
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Changqing Liu
- Institute for Nutrition and Food Safety, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
| | - Zhenyu Yang
- Institute for Nutrition and Food Safety, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
| | - Jingtao Duan
- Department of Epidemiology, Wuqiang Center for Disease Control and Prevention, Hengshui, China
| | - Ze Cui
- Institute for Nutrition and Food Safety, Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China
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Chouraqui JP. Vegetarian diets and diets which restrict animal-source foods during childhood in high-income countries. Paediatr Int Child Health 2023; 43:57-82. [PMID: 37649436 DOI: 10.1080/20469047.2023.2245186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 06/21/2023] [Indexed: 09/01/2023]
Abstract
Increasing numbers of populations in the West are restricting their intake of meat and other animal products for reasons relating to health or ethics; in many countries, these restrictions are already common for cultural, religious, or socio-economic reasons. By following their parent's diet, children are exposed in parallel. This narrative review aims at assessing current data regarding vegetarian diets in children from birth to 18 years of age, which include, by increasing degree of restriction, flexitarian, lacto-ovo-vegetarian, lacto-vegetarian, pescatarian, vegan and macrobiotic diets. The 202 references include 45 studies in children. The more restrictive the diet and the younger the child, the greater the risk of nutritional deficiency. Of particular concern are vitamin B12, iron, zinc, calcium, n-3 long-chain polyunsaturated fatty acids, and protein and energy intake, especially in pregnant and nursing women, infants and young children. Providing an adequate lacto-ovo-vegetarian diet is relatively easy, whereas the maintenance of more restrictive diets may be challenging. The benefits and risks of vegetarian diets in adults are relatively well documented, but data for children are scarce. Vegan and macrobiotic diets should be discouraged in pregnant and lactating mothers as well as in young children, who, otherwise, should pay careful attention to ensuring nutritional adequacy, blood testing and appropriate supplementation. The health consequences of a chosen diet should be discussed with parents and adolescents to ensure the best possible adherence to advice and prescriptions. There is a need for well conducted studies in children but also for better knowledge of nutrition in healthcare professionals.Abbreviations: ALA: α-linolenic acid; ARA: arachidonic acid; ASF: animal source foods; BMC: bone mineral content; BMD: bone mineral density; DHA: docosahexaenoic acid; DRV: dietary reference value; EPA: eicosapentaenoic acid; FLD: flexitarian diet; LA: linoleic acid; LC-PUFA: long-chain polyunsaturated fatty acids; LOVD: lacto-ovo-vegetarian diet; LVD: lacto-vegetarian diet; MAD: macrobiotic diet; OMD: omnivorous diet; PSF: plant-source foods; SFA: saturated fatty acids; VGD: vegetarian diets; VND: vegan diet.
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Affiliation(s)
- Jean-Pierre Chouraqui
- Paediatric Division of Nutrition and Gastro-Enterology, Department of Paediatric, Grenoble-Alpes University Hospital (CHUGA), Grenoble, France
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Wang Z, Shen J, Song Q, Cui X, Shi Z, Su J, Zang J. Effects of animal protein intake during pregnancy on autoimmune thyroiditis in pregnant women with mild iodine deficiency. J Hum Nutr Diet 2021; 35:542-553. [PMID: 34800315 DOI: 10.1111/jhn.12954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 09/27/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Iodine and animal protein may affect thyroid function. In the present study, we explored the association between animal protein intake and thyroid antibody status in pregnant women following universal salt iodisation. METHODS Pregnant women were enrolled using a multistage, stratified random sampling method in Shanghai. In total, 4646 eligible women were interviewed in person. We used a validated food frequency questionnaire and food composition tables to calculate the daily intakes of protein and iodine. We collected urine samples and performed thyroid antibody tests. RESULTS Positive thyrotropin receptor antibody (TR-Ab) rates were different among animal protein intake groups (p < 0.05). Median urinary iodine concentration (UIC) was higher in the thyroid peroxidase antibody (TPO-Ab) positive group than in the negative group (p < 0.05). The median of total protein intake, animal protein intake and UIC was higher in the TR-Ab positive group than in the negative group (p < 0.05). The median of total protein intake and UIC was higher in the TPO-Ab/TG-Ab/TR-Ab positive group than in the negative group (p < 0.05). Multivariable logistic regression results showed that insufficient iodine had a negative correlation with positive TPO-Ab and positive TR-Ab (p < 0.05). The middle third and top third animal protein intakes served as protective factors for TR-Ab (coefficient = 0.559, 95% confidence interval [CI] = 0.415-0.752, p < 0.001; coefficient = 0.0.406, 95% CI = 0.266-0.621, p < 0.001) and positive TPO-Ab/TR-Ab/TG-Ab (coefficient = 0.817, 95% CI = 0.687-0.971, p = 0.022; coefficient = 0.805, 95% CI = 0.672-0.964, p = 0.018). CONCLUSIONS Adequate animal protein intake protects against elevated anti-thyroid antibody levels in pregnant women with mild iodine deficiency.
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Affiliation(s)
- Zhengyuan Wang
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jiaying Shen
- Tongji University School of Medicine, Tongji University, Shanghai, China
| | - Qi Song
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Xueying Cui
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Zehuan Shi
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jin Su
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jiajie Zang
- Division of Health Risk Factors Monitoring and Control, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
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