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Ni W, Gao X, Su X, Cai J, Zhang S, Zheng L, Liu J, Feng Y, Chen S, Ma J, Cao W, Zeng F. Birth spacing and risk of adverse pregnancy and birth outcomes: A systematic review and dose-response meta-analysis. Acta Obstet Gynecol Scand 2023; 102:1618-1633. [PMID: 37675816 PMCID: PMC10619614 DOI: 10.1111/aogs.14648] [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: 02/11/2023] [Revised: 06/20/2023] [Accepted: 06/30/2023] [Indexed: 09/08/2023]
Abstract
INTRODUCTION The association between extreme birth spacing and adverse outcomes is controversial, and available evidence is fragmented into different classifications of birth spacing. MATERIAL AND METHODS We conducted a systematic review of observational studies to evaluate the association between birth spacing (i.e., interpregnancy interval and interoutcome interval) and adverse outcomes (i.e., pregnancy complications, adverse birth outcomes). Pooled odds ratios (ORs) with 95% confidence intervals (CI) were calculated using a random-effects model, and the dose-response relationships were evaluated using generalized least squares trend estimation. RESULTS A total of 129 studies involving 46 874 843 pregnancies were included. In the general population, compared with an interpregnancy interval of 18-23 months, extreme intervals (<6 months and ≥ 60 months) were associated with an increased risk of adverse outcomes, including preterm birth, small for gestational age, low birthweight, fetal death, birth defects, early neonatal death, and premature rupture of fetal membranes (pooled OR range: 1.08-1.56; p < 0.05). The dose-response analyses further confirmed these J-shaped relationships (pnon-linear < 0.001-0.009). Long interpregnancy interval was only associated with an increased risk of preeclampsia and gestational diabetes (pnon-linear < 0.005 and pnon-linear < 0.001, respectively). Similar associations were observed between interoutcome interval and risk of low birthweight and preterm birth (pnon-linear < 0.001). Moreover, interoutcome interval of ≥60 months was associated with an increased risk of cesarean delivery (pooled OR 1.72, 95% CI 1.04-2.83). For pregnancies following preterm births, an interpregnancy interval of 9 months was not associated with an increased risk of preterm birth, according to dose-response analyses (pnon-linear = 0.008). Based on limited evidence, we did not observe significant associations between interpregnancy interval or interoutcome interval after pregnancy losses and risk of small for gestational age, fetal death, miscarriage, or preeclampsia (pooled OR range: 0.76-1.21; p > 0.05). CONCLUSIONS Extreme birth spacing has extensive adverse effects on maternal and infant health. In the general population, interpregnancy interval of 18-23 months may be associated with potential benefits for both mothers and infants. For women with previous preterm birth, the optimal birth spacing may be 9 months.
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Affiliation(s)
- Wanze Ni
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Xuping Gao
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Xin Su
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Jun Cai
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Shiwen Zhang
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Lu Zheng
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Jiazi Liu
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Yonghui Feng
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Shiyun Chen
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Junrong Ma
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Wenting Cao
- Department of Medical Statistics & Epidemiology, International School of Public Health and One HealthHainan Medical UniversityHaikouHainanChina
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
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Movendane Y, Sipalo MG, Chan LCZ. Advances in Folic Acid Biosensors and Their Significance in Maternal, Perinatal, and Paediatric Preventive Medicine. BIOSENSORS 2023; 13:912. [PMID: 37887105 PMCID: PMC10605181 DOI: 10.3390/bios13100912] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/19/2023] [Accepted: 09/23/2023] [Indexed: 10/28/2023]
Abstract
Auxotrophic primates like human beings rely on exogenous dietary vitamin B9 supplementation to meet their metabolic demands. Folates play a crucial role in nucleotide synthesis and DNA methylation. Maternal folate deficiency causes several pregnancy-related complications, perinatal defects, and early childhood cognitive impairments. New evidence suggests excess FA is a potential risk factor resulting in unfavourable genomic and epigenomic alterations. Thus, it is essential to revisit the need to consistently monitor maternal folate levels during pregnancy. Yet, to date, no point-of-care folate-monitoring biosensor is commercially available. Here, we critically appraise the advances in folate biosensors to understand the translational gaps in biosensor design. Further, our review sheds light on the potential role of folate biosensors in strengthening maternal, perinatal, and child healthcare.
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Affiliation(s)
- Yogesh Movendane
- Singapore Institute of Manufacturing Technology (SIMTech), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-04, Singapore 138634, Singapore;
- Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Mbozu G. Sipalo
- London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK;
| | - Leon C. Z. Chan
- Singapore Institute of Manufacturing Technology (SIMTech), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-04, Singapore 138634, Singapore;
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Gupta S, Bansal R, Shergill HK, Sharma P, Garg P. Correlates of post-partum intra-uterine copper-T devices (PPIUCD) acceptance and retention: an observational study from North India. Contracept Reprod Med 2023; 8:25. [PMID: 36978137 PMCID: PMC10045498 DOI: 10.1186/s40834-023-00222-2] [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: 08/17/2021] [Accepted: 03/18/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Postpartum intrauterine contraceptives device (PPIUCD) offers an effective means of providing contraceptive services to women in countries with high rates of unmet needs for family planning services. However, scientific literature estimating the long-term retention rates is scarce. We estimate the factors affecting acceptance and retention of PPIUCD and explore the risk factors against PPIUCD Discontinuation at six months". MATERIAL AND METHOD This prospective observational study was conducted between 2018 and 20 at a tertiary care institute in North India. PPIUCD was inserted following a detailed counseling session and consent. The women were followed up for six months. Bivariate analysis was done to depict the association between socio-demographic characteristics and acceptance. Logistic regression, cox regression, and Kaplan Meier analysis were applied to explore factors affecting acceptance and retention of PPIUCD. RESULTS Of the 300 women counseled for PPIUCD, 60% accepted them. The majority of these women were between 25 and 30 years (40.6%), primigravida (61.7%), educated (86.1%), and from urban areas (61.7%). Retention rates at six months were about 65.6%, while 13.9% and 5.6% were either removed or expelled. Women declined PPIUCD due to refusal by spouses, partial knowledge, inclination towards other methods, non-willingness, religious beliefs, and fear of pain and heavy bleeding. Adjusted logistic regression depicted that higher education, housewife status, lower-middle and richest SES, Hinduism, and counseling in early pregnancy promoted acceptance of PPIUCD. The most common reasons for removal were AUB, infection, and family pressure (23.1%). Adjusted hazard ratio depicted religion other than Hinduism, counseling in late stages of pregnancy, and normal vaginal delivery were significant predictors for early removal or expulsion. While education, higher socio-economic status favoured retention. CONCLUSION PPIUCD is a safe, highly effective, low-cost, long-acting, and feasible method of contraception. Skill enhancement of healthcare personnel for insertion techniques, adequate antenatal counseling, and advocacy of PPIUCD can help increase the acceptance of PPIUCD.
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Affiliation(s)
- Sneha Gupta
- Department of Obstetrics and Gynaecology, Adesh Institute of Medical Sciences and Research, 151001, Bathinda, India
| | - Romi Bansal
- Department of Obstetrics and Gynaecology, Adesh Institute of Medical Sciences and Research, 151001, Bathinda, India
| | - Harbhajan Kaur Shergill
- Department of Obstetrics and Gynaecology, Adesh Institute of Medical Sciences and Research, 151001, Bathinda, India
| | - Pradeep Sharma
- Department of Obstetrics and Gynaecology, Adesh Institute of Medical Sciences and Research, 151001, Bathinda, India
| | - Priyanka Garg
- Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, 151001, Bathinda, Punjab, India.
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Trend and risk factors of fatal pregnancy termination: A long-term nationwide population-based cross-section survey in Bangladesh. PLoS One 2023; 18:e0263467. [PMID: 36706092 PMCID: PMC9882646 DOI: 10.1371/journal.pone.0263467] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 01/19/2022] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Pregnant women often experience the fatal outcome of their pregnancy both in developed and impoverished countries. Due to strong health systems and services, factual and historical data are available from developed countries. However, the prevalence trend and risk factors of a fatal termination of pregnancy in developing countries like Bangladesh are still lacking. OBJECTIVE The objective of the current study was to determine the 20 years trend of prevalence and risk factors of fatal pregnancy termination from 1997 to 2018 in Bangladesh. METHOD This study utilised the publicly available seven consecutive cross-data on Bangladesh Demographic and Health Surveys data since 1997 following identical methods among women of reproductive age. Respondent was asked if they had had a fatal pregnancy termination ever. A Generalised Linear model with a log-Poisson link was used to estimate the relative risk of different predictors for four survey time points (1998, 2004, 2011, 2018). RESULTS The proportions of fatal pregnancy termination in urban and rural areas were 24% vs. 19% and 24% vs. 22% in 1997 and 2018, respectively. In multivariable analysis, maternal age 30 years and above and obesity were strongly associated in all survey time points. The richest wealth index had a weak association in 1997 but was strongly associated in 2011 and 2018. A significant modest association with secondary complete education level was only observed in 2018. CONCLUSION The overall proportions of fatal pregnancy termination in Bangladesh remain nearly static; however, its risk factors differed across different survey time points.
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Andrews FV, Branscum A, Hystad P, Smit E, Afroz S, Golam M, Sharif O, Rahman M, Quamruzzaman Q, Christiani DC, Kile ML. Testing the Limit: Evaluating Drinking Water Arsenic Regulatory Levels Based on Adverse Pregnancy Outcomes in Bangladesh. TOXICS 2022; 10:600. [PMID: 36287880 PMCID: PMC9609177 DOI: 10.3390/toxics10100600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/05/2022] [Accepted: 10/10/2022] [Indexed: 05/03/2023]
Abstract
(1) Background: Arsenic (As) is a common drinking water contaminant that is regulated as a carcinogen. Yet, As is a systemic toxicant and there is considerable epidemiological data showing As adversely impacts reproductive health. This study used data from a birth cohort in Bangladesh (2008−2011) to examine associations between drinking water As levels and reproductive outcomes. (2) Methods: Pregnant individuals (n = 1597) were enrolled at <16 weeks gestation and drinking water As was measured. Participants with live births (n = 1130) were propensity score matched to participants who experienced miscarriage (n = 132), stillbirth (n = 72), preterm birth (n = 243), and neonatal mortality (n = 20). Logistic regression was used to examine drinking water As recommendations of 50, 10, 5, 2.5, and 1 µg/L on the odds of adverse birth outcomes. (3) Results: The odds of miscarriage were higher for pregnant women exposed to drinking water ≥2.5 versus <2.5 µg As/L [adjusted odds ratio (OR) 1.90, 95% Confidence Interval (CI): 1.07−3.38)]. (4) Conclusions: These preliminary findings suggest a potential threshold where the odds of miscarriage increases when drinking water As is above 2.5 µg/L. This concentration is below the World Health Organizations and Bangladesh’s drinking water recommendations and supports the re-evaluation of drinking water regulations.
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Affiliation(s)
- Faye V. Andrews
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
- Oregon Clinical and Translational Research Institute, Oregon Health and Sciences University, Portland, OR 97239, USA
| | - Adam Branscum
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Perry Hystad
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Ellen Smit
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
| | - Sakila Afroz
- Dhaka Community Hospital Trust, Dhaka 1217, Bangladesh
| | - Mostofa Golam
- Dhaka Community Hospital Trust, Dhaka 1217, Bangladesh
| | - Omar Sharif
- Dhaka Community Hospital Trust, Dhaka 1217, Bangladesh
| | | | | | - David C. Christiani
- Harvard T.H. Chan School of Public Health, Department of Environmental Health, Harvard University, Boston, MA 02115, USA
| | - Molly L. Kile
- School of Biological and Population Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR 97331, USA
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Lawani LO, Enebe JT, Eze P, Igboke FN, Ukaegbe CI, Ugwu MO, Agu UJ, Onyinye EN, Iyoke CA. Interpregnancy interval after a miscarriage and obstetric outcomes in the subsequent pregnancy in a low-income setting, Nigeria: A cohort study. SAGE Open Med 2022; 10:20503121221105589. [PMID: 35784667 PMCID: PMC9244931 DOI: 10.1177/20503121221105589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 05/18/2022] [Indexed: 11/18/2022] Open
Abstract
Objectives: The aim of this study was to determine and compare the occurrence of adverse pregnancy outcomes in a cohort of pregnant women with interpregnancy interval of < and ⩾6 months (short and normal interpregnancy interval, respectively) following a spontaneous miscarriage in their last pregnancies. Methods: This was a cohort study that involved pregnant women with a spontaneous pregnancy loss in their last pregnancies. They were recruited at a gestational age of 13–15 weeks and followed up to determine the obstetric and foetal outcomes of their pregnancies at four tertiary hospitals in Nigeria from July 2018 to September 2019. Data collected were analysed using SPSS version 26.0. A Chi-square and multivariate logistic regression analysis were done, and a p-value of less than 0.05 was assumed to be statistically significant. Results: A total of 705 participants were studied, out of which 448 (63.5%) and 257 (36.5%) of the participants had short and normal interpregnancy interval after a spontaneous miscarriage. Over 80% of the participants had first-trimester pregnancy losses and were managed with manual vacuum aspiration in 73.3% of the cases. The majority, 87.5% for the normal interpregnancy interval cohort and 86.4% for the short interpregnancy interval cohort, had live births, while 8.5% and 10.1% of the women in the normal and short interpregnancy interval cohorts, respectively, had repeat miscarriages. There was no statistical difference in the occurrence of live births and repeat miscarriages between both cohorts (p > 0.05). There was no increased risk of occurrence of adverse foetomaternal outcomes in both groups (p > 0.05). Multivariate logistic regression analysis showed that there was no statistical difference in the occurrence adverse foetomaternal outcomes between the studied cohorts (p > 0.05). Conclusion: There was no significant difference in the occurrence of adverse maternal and foetal outcomes in the cohorts of mothers with short and normal interpregnancy interval following miscarriages in their last previous pregnancies.
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Affiliation(s)
- Lucky Osaheni Lawani
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- Department of Obstetrics & Gynecology, Federal University Teaching Hospital, Abakaliki, Nigeria
| | - Joseph Tochukwu Enebe
- Department of Obstetrics & Gynecology, College of Medicine, Enugu State University of Science and Technology Teaching Hospital, Enugu, Nigeria
| | - Paul Eze
- Department of Health Policy and Administration, Penn State University, University Park, PA, USA
| | - Francis Nwabueze Igboke
- Department of Obstetrics & Gynecology, Federal University Teaching Hospital, Abakaliki, Nigeria
| | | | - Monica Omosivie Ugwu
- Department of Obstetrics & Gynecology, University of Nigeria Teaching Hospital, Enugu, Nigeria
| | - Ujunwa Justina Agu
- Department of Paediatrics, Enugu State University Teaching Hospital, Enugu, Nigeria
| | - Enebe Nympha Onyinye
- Department of Community Medicine, University of Nigeria Teaching Hospital (UNTH), Enugu, Nigeria
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Espinosa C, Becker M, Marić I, Wong RJ, Shaw GM, Gaudilliere B, Aghaeepour N, Stevenson DK. Data-Driven Modeling of Pregnancy-Related Complications. Trends Mol Med 2021; 27:762-776. [PMID: 33573911 DOI: 10.1016/j.molmed.2021.01.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 12/01/2020] [Accepted: 01/20/2021] [Indexed: 12/11/2022]
Abstract
A healthy pregnancy depends on complex interrelated biological adaptations involving placentation, maternal immune responses, and hormonal homeostasis. Recent advances in high-throughput technologies have provided access to multiomics biological data that, combined with clinical and social data, can provide a deeper understanding of normal and abnormal pregnancies. Integration of these heterogeneous datasets using state-of-the-art machine-learning methods can enable the prediction of short- and long-term health trajectories for a mother and offspring and the development of treatments to prevent or minimize complications. We review advanced machine-learning methods that could: provide deeper biological insights into a pregnancy not yet unveiled by current methodologies; clarify the etiologies and heterogeneity of pathologies that affect a pregnancy; and suggest the best approaches to address disparities in outcomes affecting vulnerable populations.
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Affiliation(s)
- Camilo Espinosa
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Biomedical Data Sciences, Stanford University, Stanford, CA, USA
| | - Martin Becker
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Biomedical Data Sciences, Stanford University, Stanford, CA, USA
| | - Ivana Marić
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Ronald J Wong
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Gary M Shaw
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Brice Gaudilliere
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Biomedical Data Sciences, Stanford University, Stanford, CA, USA; Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - David K Stevenson
- Department of Pediatrics, Division of Neonatal and Developmental Medicine, Stanford University School of Medicine, Stanford, CA, USA.
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Vladutiu CJ, Kandasamy V, Ahrens KA. Folate Levels by Time Since Last Live Birth Among U.S. Women, 2007-2016. J Womens Health (Larchmt) 2020; 30:1204-1212. [PMID: 33236942 DOI: 10.1089/jwh.2020.8428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Background: Folate depletion in the postpartum period may increase the risk of adverse pregnancy outcomes for women with a short interpregnancy interval following a live birth. We sought to examine folate levels by time since last live birth among U.S. women. Materials and Methods: Data were from 4,809 U.S. women, 20-44 years of age, participating in the National Health and Nutrition Examination Survey, 2007-2016. Red blood cell (RBC) folate was measured using microbiological assay on whole blood samples. Dietary folate intake and folic acid supplementation were measured during a 24-hour dietary recall. Prevalence of supplementation by time since last live birth was estimated from logistic regression models; mean levels of RBC folate and mean intake of dietary folate equivalent were estimated from linear regression models. Models were adjusted for maternal sociodemographic characteristics. Results: In adjusted models, supplementation (±standard error) was highest among women in the first year postpartum (31.7% ± 3.2) compared with nulliparous women (23.7% ± 1.9) and those 2-3 years (15.6% ± 1.9) and ≥3 years (18.4% ± 1.6) after last live birth. Mean RBC folate was highest among women in the first year postpartum, regardless of supplementation, with overall mean levels of 606 ± 15 ng/mL, compared with 484 ± 9, 477 ± 11, and 474 ± 7 among women in the aforementioned groups, respectively. Mean dietary folate intake was also highest among postpartum women: 542 ± 23 mcg/day, compared with 474 ± 12, 486 ± 21, and 467 ± 12. Conclusions: Folate levels are highest in the first year postpartum compared with other time periods within a woman's reproductive lifespan. These findings do not support the idea that postpartum U.S. women are depleted in folate, on average.
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Affiliation(s)
- Catherine J Vladutiu
- Office of Epidemiology and Research, Maternal and Child Health Bureau, Health Resources and Services Administration, Rockville, Maryland, USA
| | - Veni Kandasamy
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Katherine A Ahrens
- Muskie School of Public Service, University of Southern Maine, Portland, Maine, USA
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Body mass index of women in Bangladesh: comparing Multiple Linear Regression and Quantile Regression. J Biosoc Sci 2020; 53:247-265. [DOI: 10.1017/s0021932020000176] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
AbstractThis study explored the association between socio-demographic factors and the body mass index (BMI) of women of reproductive age (15–49 years) in Bangladesh. Data from the 2014 Bangladesh Demographic and Health Survey (BDHS-14) were analysed using Multiple Linear Regression (MLR) and Quantile Regression (QR) analyses. The study sample comprised 15,636 non-pregnant women aged 15–49. The mean BMI of the women was 22.35±4.12 kg/m2. Over half (56.75%) had a BMI in the normal range (18<BMI<25 kg/m2), and 18.50%, 20.00% and 4.75% were underweight (BMI≤18 kg/m2), overweight (25≤BMI<30 kg/m2) and obese (BMI≥30 kg/m2), respectively. The results of the MLR found that age, wealth index, urban/rural place of residence, geographical division, womenʼs educational status, husbandʼs educational status, womenʼs working status and total number of children ever born were significantly (p<0.001) associated with respondents’ mean BMI. The QR results showed different associations between socio-demographic factors and mean BMI, as well as a different conditional distribution of mean BMI. Overall, the results indicated that women with uneducated husbands, with little or no education and from less-affluent households from rural areas tended to be more underweight compared with women in other groups. The inter-relationship between the study womenʼs mean BMI and associated socio-demographic factors was assessed using QR analysis to identify the most vulnerable cohorts of women in Bangladesh.
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