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Li X, Yu B, Li Y, Meng H, Zhou Z, Liu S, Tian Y, Xing X, Lei Y, Yin L. Effect modifications of parents' age at childbirth on association between ambient particulate matter and children obesity. BMC Public Health 2024; 24:3081. [PMID: 39511542 PMCID: PMC11542234 DOI: 10.1186/s12889-024-20598-3] [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: 11/01/2024] [Indexed: 11/15/2024] Open
Abstract
BACKGROUND There is limited evidence regarding the modifying effects of parents' age at childbirth on the relationship between air pollution and obesity in plateau areas. This study aimed to explore the association between particulate matter (PM) and child obesity, specifically investigating whether parents' age at childbirth could modify this relationship in the Tibetan plateau, China. METHODS Satellite-based random forest models were used to estimate the concentrations of PM2.5 (particulate matter with aerodynamic diameters ≤ 2.5 μm), PMc (particulate matter with aerodynamic diameters between 2.5 μm and 10 μm), and PM10 (particulate matter with aerodynamic diameters ≤ 10 μm). Linear and logistic regression models were employed to assess associations between PM exposure and obesity indicators, and effect estimates of PM across different particle sizes were compared. RESULTS The study comprised 2,015 children under five years old. Postnatal exposure to PM was positively associated with overweight and obesity (OWO), waist-to-hip ratio (WHR) and body mass index (BMI). Among these pollutants, PM10 exhibited the strongest association with BMI and OWO, whereas PMc showed the strongest association with WHR. An interquartile range (IQR) increase in PM2.5 (5.67 µg/m3), PMc (5.25 µg/m3), and PM10 (11.06 µg/m3) was positively associated with OWO (odd ratio [OR] for PM2.5 = 1.52, 95% confidence interval [CI] for PM2.5 = 1.24 to 1.85; OR for PMc = 1.50, 95% CI for PMc = 1.19 to 1.88; OR for PM10 = 1.56, 95% CI for PM10 = 1.25 to 1.96), respectively. Stratified analysis by parents' age at childbirth indicated that the effects of PM on obesity indicators were more pronounced in the advanced age group. CONCLUSIONS Long-term exposure to PM was positively associated with OWO, WHR, and BMI. Our findings also underscore the importance of examining the effects of ambient PM exposure on OWO, particularly in parents of advanced age at childbirth.
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Affiliation(s)
- Xianzhi Li
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Dali University, Dali, China
| | - Bin Yu
- Institute for Disaster Management and Reconstruction, Sichuan University - Hong Kong Polytechnic University, Chengdu, China
| | - Yajie Li
- Tibet Center for Disease Control and Prevention, Lhasa, China
| | - Haorong Meng
- Yunnan Center for Disease Control and Prevention, Kunming, China
| | - Zonglei Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Shunjin Liu
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Dali University, Dali, China
| | - Yunyun Tian
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China
- Dali University, Dali, China
| | - Xiangyi Xing
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China.
- Dali University, Dali, China.
- Department of Pharmacy, Panzhihua Central Hospital, Panzhihua, China.
| | | | - Li Yin
- Meteorological Medical Research Center, Panzhihua Central Hospital, Panzhihua, China.
- Clinical Medical Research Center, Panzhihua Central Hospital, Panzhihua, China.
- Dali University, Dali, China.
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Tsuge T, Matsumoto N, Takao S, Yorifuji T. Outdoor playing during preschool was associated with a reduced risk of school-age obesity in Japan. Acta Paediatr 2024. [PMID: 39380494 DOI: 10.1111/apa.17441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 07/18/2024] [Accepted: 09/03/2024] [Indexed: 10/10/2024]
Abstract
AIM This study investigated the association between outdoor play habits during preschool and school-age obesity. METHODS We conducted a longitudinal cohort study of all children born in Japan during 2 weeks in January and July 2001. We defined outdoor play habits at age 2.5 years (third survey) as exposure, while parent-reported height and weight at age 7 years (seventh survey) were defined as overweight and obesity status using the WHO reference. Logistic regression models were used to estimate odds ratios (ORs) for associations between preschool outdoor play habits and school-age obesity, adjusting for parental and child factors. RESULTS Of 53 575 children born, 42 812 had data on outdoor play habits at age 2.5 years, with 91% (38 970) having such habits. At age 7 years, 31 743/42 812 (74%) children had height and weight data, with 3249/31 743 (10%) classified as overweight or obesity (BMI SD score ≥1.0). Outdoor play habits were negatively associated with obesity (adjusted OR 0.85, 95% confidence interval (CI): 0.74-0.97). CONCLUSION Outdoor play habits in early preschool years are associated with a reduced risk of school-age obesity. Parents and caregivers may consider encouraging their children to outdoor play habits at an early age to help prevent obesity later in life.
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Affiliation(s)
- Takahiro Tsuge
- Department of Rehabilitation, Kurashiki Medical Center, Kurashiki, Okayama, Japan
- Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Naomi Matsumoto
- Department of Epidemiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Soshi Takao
- Department of Epidemiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Takashi Yorifuji
- Department of Epidemiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
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Bonanni G, Airoldi C, Berghella V. Birthweights at term have increased globally: insights from a systematic review of 183 million births. Am J Obstet Gynecol 2024; 231:395-407.e4. [PMID: 38460833 DOI: 10.1016/j.ajog.2024.03.002] [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: 10/24/2023] [Revised: 03/03/2024] [Accepted: 03/04/2024] [Indexed: 03/11/2024]
Abstract
OBJECTIVE This study aimed to assess global trends in mean birthweights at term, as reported in peer-reviewed literature. DATA SOURCES We electronically searched PubMed, Embase, and Web of Science up to September 2023, using combinations of the search terms: "birth weight"; "birth-weight"; "birthweight"; "trend". There were no restrictions based on language or geographic area. STUDY ELIGIBILITY CRITERIA We included all ecological and observational studies reporting mean birthweight at term as a continuous numerical variable over time. METHODS We assessed the quality of included studies using the Dufault and Klar checklist modified by Betran et al. Univariate and multivariate linear models were used to examine the effects of time (years) and geographical origins. Subgroup analyses focused on national data sources and on data collected from 1950 onward. RESULTS Among 6447 reviewed articles, 29 met our criteria, reporting mean birthweight data from over 183 million infants worldwide. Most studies were hospital-based (48.3%), 44.8% used national data, and a minority used municipality, community, or regional data (6.9%). Geographically, North America (31.0%) had the highest representation, followed by Asia and Europe (27.6% each), and South America and Oceania (6.9% each). Our univariate linear regression model (Model 1) revealed a significant increase in mean birthweight at term over time (4.74 g/y; 95% confidence interval, 3.95-5.53; P<.001). Model 2, incorporating continental dummy variables into the first model, confirmed this trend (3.85 g/y; 95% confidence interval, 2.96-4.74; P<.001). Model 3, focusing on available national data, did not find a significant relationship. Model 4 narrowed its focus on records from 1950 onward, reporting a robust annual increase of 7.26 g/y (95% confidence interval, 6.19-8.33; P<.001). Model 5, adjusting for the number of participants included in each study, reported a conclusive mean term birthweight increase of 1.46 g/y (95% confidence interval, 0.74-2.18; P<.001). CONCLUSION This systematic review of 29 studies shows an increase in term birthweights over time, particularly when considering data since 1950. Limitations include study quality variations, data source diversity, and data sparsity, underscoring the need for future research to use precise gestational age distinctions and predetermined time frames to gain a deeper understanding of this trend and its implications for maternal and child health.
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Affiliation(s)
- Giulia Bonanni
- Maternal Fetal Care Center, Division of Fetal Medicine and Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA; Department of Women, Children, and Public Health Sciences, IRCCS Agostino Gemelli University Polyclinic Foundation, Catholic University of the Sacred Heart, Rome, Italy; Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, Thomas Jefferson University Hospital, Philadelphia, PA.
| | - Chiara Airoldi
- Department of Translational Medicine, University of Eastern Piedmont, Novara, Italy
| | - Vincenzo Berghella
- Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, Thomas Jefferson University Hospital, Philadelphia, PA
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Amanuel T, Desalegn M, Lukas K, Yohannes T. Prevalence of birth before arrival and associated factors among postpartum women in southern Ethiopia: a community-based cross-sectional study. Front Med (Lausanne) 2024; 11:1437538. [PMID: 39399105 PMCID: PMC11467866 DOI: 10.3389/fmed.2024.1437538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 09/13/2024] [Indexed: 10/15/2024] Open
Abstract
Background Birth before arrival (BBA) constitutes a high-risk newborn population with high perinatal morbidity and mortality. In Ethiopia, most studies and health surveys consider only home and hospital deliveries but do not consider deliveries that take place between the house and health facility. The aim of this study was to assess the prevalence of BBA and its associated factors among postpartum women in Lemo woreda, Hadiya Zone, SNNPR, Ethiopia, 2023. Methods A community-based cross-sectional study was conducted among postpartum women in Lemo woreda, Hadiya Zone, SNNPR, Ethiopia, from April 5 to May 20, 2023. Three hundred eighty-two postpartum women who gave birth 6 months prior to this study were included. Twelve out of 36 kebeles were selected randomly, and simple random sampling was employed for the selection of participant women. An interviewer-administered questionnaire was used for data collection. A binary logistic regression analysis was computed, and variables with a p value of <0.25 were included in the final multivariable logistic regression analysis. Model fitness was checked via the Hosmer-Lemeshow goodness-of-fit test (x 2 = 16.04, p value = 0.250). Statistical significance was declared via odds ratios and 95% confidence intervals at a p value <0.05. Results The prevalence of BBA among women who gave birth in the last 6 months preceding this study in the study area was 15.2% (95% CI: 11.8, 19.1%). In the multivariable analysis, the variables associated with birth before arrival in the final model were having no antenatal care (AOR = 2.63; 95% CI: 1.23, 5.63), having a female autonomy status (AOR = 3.32; 95% CI: 1.12, 9.89), not being knowledgeable about labor symptoms (AOR = 2.15; 95% CI: 1.11, 4.18), and having birth preparedness toward the index birth (AOR = 0.13; 95% CI: 0.05, 0.35). Conclusion The prevalence of BBA in the study area was unacceptably high. A statistically significant association was observed between birth before arrival and having no antenatal care, dependent women's autonomy status, being not knowledgeable about labor symptoms, and having birth preparedness toward the index birth.
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Affiliation(s)
| | - Mitiku Desalegn
- Department of Anesthesia, College of Medicine and Health Science, Wachemo University, Hosaina, Ethiopia
| | - Kaleegziabher Lukas
- School of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaina, Ethiopia
| | - Tadele Yohannes
- School of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosaina, Ethiopia
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Mare KU, Aychiluhm SB, Mulaw GF, Sabo KG, Asmare MG, Wubshet BZ, Tebeje TM, Seifu BL. High-risk fertility behaviors and associated factors among married reproductive-age women in sub-Saharan Africa: A multilevel mixed-effect analysis of nationally representative data from 35 countries. PLOS GLOBAL PUBLIC HEALTH 2024; 4:e0003446. [PMID: 39269946 PMCID: PMC11398670 DOI: 10.1371/journal.pgph.0003446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 08/09/2024] [Indexed: 09/15/2024]
Abstract
BACKGROUND Although high-risk fertility behaviors are linked with poor maternal and child health outcomes, their prevalence remains higher in resource-limited countries and varies significantly by context. Evidence on the recent estimates of these fertility risks at the sub-Saharan Africa level is limited. Therefore, this study aimed to examine the pooled prevalence of high-risk fertility behaviors and associated factors among married women in this region. METHODS Data from DHS of 35 sub-Saharan African countries were used and a weighted sample of 243,657 married reproductive-age women were included in the analysis. A multilevel binary logistic regression models were fitted and the final model was selected based on the log-likelihood and deviance values. A p-value less than 0.05 and an adjusted odds ratio with a corresponding 95% confidence interval were used to identify the factors associated with high-risk fertility behaviors. RESULTS The pooled prevalence of high-risk fertility behaviors among women in sub-Saharan Africa was 77.7% [95% CI = 77.6%-77.9], where 43.1% [95% CI: 42.9%-43.3%], and 31.4% [95% CI = 31.2%-31.6%] had a single risk and combination of two or three fertility risks, respectively. The highest level of single-risk fertility pattern was observed in Burundi (53.4%) and Chad had the highest prevalence of both at least one (89.9%) and multiple (53.6%) fertility risks. Early and polygamous marriages, low maternal and husband education, poor wealth index, unmet need for contraception, couple's fertility discordance, rural residence, high community-level early marriage practice, and low community-level women empowerment were associated with risky fertility behaviors. CONCLUSIONS More than three-quarters of married women in SSA were engaged in high-risk fertility behaviors, with significant variations across the included countries. Therefore, addressing the modifiable risk factors like improving access to need-based contraceptive methods and empowering couples through education for a better understanding of their reproductive health with particular attention to rural settings are important in reducing these fertility risks. The results also suggest the need to strengthen the policies regulating the prohibition of early and polygamous marriages.
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Affiliation(s)
- Kusse Urmale Mare
- Department of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia
| | - Setognal Birara Aychiluhm
- Department of Epidemiology & Biostatistics, Institute of Public Health, College of Medicine & Health Sciences, University of Gondar, Gondar, Ethiopia
- Rural Health Research Institute, Charles Sturt University, Orange, NSW, Australia
| | - Getahun Fentaw Mulaw
- School of Public Health, College of Medicine and Health Sciences, Woldia University, Woldia, Ethiopia
- School of Pharmacy and Medical Sciences, Griffith University, Gold Coast, QLD, Australia
| | - Kebede Gemeda Sabo
- Department of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia
| | - Mekuriyaw Gashaw Asmare
- Department of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia
| | - Betel Zelalem Wubshet
- Department of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia
| | - Tsion Mulat Tebeje
- School of Public Health, College of Health Sciences and Medicine, Dilla University, Dilla, Ethiopia
| | - Beminate Lemma Seifu
- Department of Public Health, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia
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Mazumder T, Mohanty I, Ahmad D, Niyonsenga T. An explanation of the stagnant under-5 mortality rate in Bangladesh using multilevel, multivariable analysis of three Demographic and Health Surveys. Sci Rep 2024; 14:19823. [PMID: 39191813 PMCID: PMC11349969 DOI: 10.1038/s41598-024-69924-0] [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: 11/21/2023] [Accepted: 08/09/2024] [Indexed: 08/29/2024] Open
Abstract
Despite remarkable success in the Millennium Development Goal era, Bangladesh experienced a sluggish reduction in the under-5 mortality rate (U5MR) between 2014 and 2017-18. Our study aimed to explain this stagnancy by examining the variation in the key predictor-specific mortality risks over time, using the Bangladesh Demographic and Health Survey 2011, 2014 and 2017-18 data. We applied multilevel mixed effects logistic regression to examine the extent to which the under-5 mortality (U5M) risks were associated with the key sociodemographic and health service-specific predictors. We found that the rise in mortality risks attributable to maternal age 18 years or below, low maternal education, mother's overweight or obesity and the absence of a handwashing station within the household were the key contributors to the stagnant U5MR between 2014 and 2017-18. Poverty and low education aggravated the mortality risks. Besides, antenatal care (ANC) and postnatal care (PNC) did not impact U5M risks as significantly as expected. Compulsory use of ANC and PNC cards and strict monitoring of their use may improve the quality of these health services. Leveraging committees like the Upazila Hospital Management Committee can bring harmony to implementing policies and programmes in the sectors related to U5M.
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Affiliation(s)
- Tapas Mazumder
- Faculty of Health, Health Research Institute, University of Canberra, Canberra, ACT, 2617, Australia.
| | - Itismita Mohanty
- Faculty of Health, Health Research Institute, University of Canberra, Canberra, ACT, 2617, Australia
| | - Danish Ahmad
- Faculty of Health, Health Research Institute, University of Canberra, Canberra, ACT, 2617, Australia
- School of Medicine and Psychology, College of Health and Medicine, Australian National University, Canberra, ACT, 2601, Australia
| | - Theo Niyonsenga
- Faculty of Health, Health Research Institute, University of Canberra, Canberra, ACT, 2617, Australia
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Hartwig FP, Ataullahjan A, Adair L, Gonçalves H, Horta B, Lee N, Martorell R, Menezes AMB, Dos Santos Motta JV, Norris S, Ramirez-Zea M, Richter L, Bhutta Z, Stein AD, Victora C. Women's health and well-being in five birth cohorts from low- and middle-income countries: Domains and their associations with early-life conditions. J Glob Health 2024; 14:04137. [PMID: 39148472 PMCID: PMC11327850 DOI: 10.7189/jogh.14.04137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/17/2024] Open
Abstract
Background Women's health and well-being (WHW) have been receiving growing attention, but limited progress has been made on how to measure its different domains in low- and middle-income countries (LMICs). We used data from five long-term birth cohorts in Brazil, Guatemala, the Philippines and South Africa to explore different domains of adult WHW, and how these domains relate to early life exposures. Methods Based upon an a priori conceptualisation of eight postulated WHW outcomes available in the data, we grouped them as follows: human capital (intelligence quotient, schooling, height, and teenage childbearing), metabolic health (body mass index and metabolic syndrome score), and psychological (happiness and Self-Reported Questionnaire (SRQ) scores). Correlation analyses confirmed the variables theoretically belonging to the same dimension of WHW were statistically related. We then applied principal component analysis to each group of variables separately and used the first principal component as a summary quantitative measure of the corresponding WHW dimension. Finally, we assessed the association of each domain with a range of early-life factors: wealth, maternal education, maternal height, water, and sanitation, birthweight, length at two years and development quotient in mid-childhood. Results The three domains were largely uncorrelated. Early determinants were positively associated with human capital, while birth order was negatively associated. Fewer associations were found for the metabolic or psychological components. Birthweight and weight at age two years were inversely associated with metabolic health. Maternal education was associated with better psychological health. Conclusions Our findings indicate that WHW is multidimensional, with most women in the cohorts being compromised in one or more domains while few women scored highly in all three domains. Our analyses are limited by lack of data on adolescent exposures and on other relevant WHW dimensions such as safety, agency, empowerment, and violence. Further research is needed in LMICs for identifying and measuring the multiple domains of WHW.
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Affiliation(s)
| | - Anushka Ataullahjan
- Centre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Linda Adair
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA
| | - Helen Gonçalves
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Bernardo Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Nanette Lee
- USC Office of Population Studies Foundation, University of San Carlos, Cebu, Philippines
| | - Reynaldo Martorell
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Ana Maria B Menezes
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | | | - Shane Norris
- SAMRC Pathways for Health Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Manuel Ramirez-Zea
- INCAP Research Center for the Prevention of Chronic Diseases, Institute of Nutrition of Central America and Panama, Guatemala City, Guatemala
| | - Linda Richter
- Department of Science and Innovation, National Research Foundation Centre of Excellence in Human Development, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Zulfiqar Bhutta
- Centre for Global Child Health, Hospital for Sick Children, Toronto, Ontario, Canada
- Institute for Global Health and Development, The Aga Khan University, Karachi, Pakistan
| | - Aryeh D Stein
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Cesar Victora
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
- International Center for Equity in Health, Federal University of Pelotas, Pelotas, Brazil
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Avelino IC, Van-Dúnem J, Varandas L. Under-Five Mortality and Associated Risk Factors in Children Hospitalized at David Bernardino Pediatric Hospital (DBPH), Angola: A Hierarchical Approach. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:1062. [PMID: 39200671 PMCID: PMC11354039 DOI: 10.3390/ijerph21081062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 07/25/2024] [Accepted: 07/26/2024] [Indexed: 09/02/2024]
Abstract
Reducing under-five mortality is a crucial indicator of overall development in a country. However, in Angola, understanding the factors contributing to hospital deaths in this vulnerable demographic remains incomplete despite improvements in healthcare infrastructure and public health policies. With one of the highest under-five mortality rates in sub-Saharan Africa, Angola faces significant challenges such as malaria, malnutrition, pneumonia, neonatal conditions, and intestinal infectious diseases, which are the leading causes of death among children. This study aimed to identify factors associated with hospital deaths among children aged 28 days to five years admitted to DBPH in Luanda between May 2022 and June 2023. Using a hospital-based case-control design, the study included 1020 children, among whom 340 experienced hospital deaths. Distal and intermediate determinants emerged as primary predictors of hospital mortality, showing significant associations with: mother without schooling (OR [95%CI] 4.3 [1.2-15.7], p < 0.027); frequent alcohol consumption during pregnancy (OR [95%CI] 3.8 [2.5-5.9], p < 0.001); hospital stay ≤24 h (OR [95%CI] 13.8 [6.2-30.8], p < 0.001); poor nutritional status (OR [95%CI] 2.1 [1.4-3.2], p < 0.001); short interbirth interval (OR [95%CI] 1.7 [1.1-2.5], p < 0.014); maternal age ≤19 years (OR [95%CI] 5.6 [3.0-10.8], p < 0.001); and maternal age ≥35 years (OR [95%CI] 2.1 [1.2-3.7], p < 0.006). These findings highlight the preventable nature of most under-five hospital deaths and underscore the urgent need to address social inequities and improve the quality of primary healthcare services to effectively reduce child mortality in Angola.
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Affiliation(s)
- Israel C. Avelino
- Global Health and Tropical Medicine (GHTM), LA-REAL, Instituto de Higiene e Medicina Tropical (IHMT), Universidade Nova de Lisboa, 1169-056 Lisboa, Portugal
- Clínica Multiperfil, Luanda 2177, Angola
| | | | - Luís Varandas
- Global Health and Tropical Medicine (GHTM), LA-REAL, Instituto de Higiene e Medicina Tropical (IHMT), Universidade Nova de Lisboa, 1169-056 Lisboa, Portugal
- Nova Medical School, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, 1169-056 Lisboa, Portugal
- Departamento de Pediatria, Hospital Dona Estefânia, 1169-045 Lisboa, Portugal
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Pattath P, Maynor MR, Anson-Dwamena R. Chi-Squared Automatic Interaction Detection Decision Tree Analysis of Social Determinants for Low Birth Weight in Virginia. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:1060. [PMID: 39200669 PMCID: PMC11353692 DOI: 10.3390/ijerph21081060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 07/05/2024] [Accepted: 07/08/2024] [Indexed: 09/02/2024]
Abstract
This study provides additional context to the literature regarding the social inequities that impact birth outcomes in Virginia using a decision tree analysis. Chi-squared automatic interaction detection data analysis (CHAID) was performed using data from the Virginia birth registry for the years 2015-2019. Birth weight was the outcome variable, while sociodemographic factors and maternity care deserts were the explanatory variables. The prevalence of low birth weight in Virginia was of 8.1%. The CHAID decision tree model demonstrated multilevel interaction among risk factors with three levels, with a total of 34 nodes. All the variables reached significance in the model, with race/ethnicity being the first major predictor variable, each category of race and ethnicity having different significant predictors, followed by prenatal care and maternal education in the next levels. These findings signify modifiable risk factors for low birth weight, in prioritizing efforts such as programs and policies. CHAID decision tree analysis provides an effective approach to detect target populations for further intervention as pathways derived from this decision tree shed light on the different predictors of high-risk population in each of the race/ethnicity demographic categories in Virginia.
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Hossain MA, Das NC, Tariqujjaman M, Siddique AB, Chandrima RM, Uddin MF, Islam SMH, Sayeed A, Ahmed A, Arifeen SE, Mahmood HR, Rahman AE, Hossain AT. Understanding the socio-demographic and programmatic factors associated with adolescent motherhood and its association with child undernutrition in Bangladesh. BMC Public Health 2024; 24:2200. [PMID: 39138565 PMCID: PMC11321164 DOI: 10.1186/s12889-024-19355-3] [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: 04/28/2024] [Accepted: 07/03/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND Worldwide, a significant number of girls become mothers during adolescence. In Bangladesh, adolescent childbirth is highly prevalent and has adverse effects on children's health and undernutrition. We aimed to identify the relationship between the undernutrition of children and adolescent motherhood, the factors associated with adolescent mothers' age at first birth, and to examine the programmatic factors and gaps influencing children's undernutrition in Bangladesh. METHODS We analysed the 'Bangladesh Demographic and Health Survey' BDHS-17-18 data and desk review. To examine the factors associated with adolescent motherhood and its impact on child undernutrition, data from 7,643 mother-child pairs were selected. Child stunting, wasting, and underweight were measured according to the World Health Organisation (WHO) median growth guidelines based on z-scores - 2. Univariate, bivariate, simple, and multiple logistic regressions were used for analyse. We followed the systematic procedures for the literature review. RESULTS Approximately, 89% of adolescents aged ≤ 19 years were married and 71% of them gave their first childbirth. Children of adolescent mothers (≤ 19 years) were significantly 1.68 times more wasted (aOR: 1.68; 95% CI: 1.08 to 2.64), 1.37 times more underweight (aOR: 1.37; 95% CI: 1.01 to 1.86) and either form 1.32 times more stunting, wasting or underweight (aOR:1.32; 95% Cl: 1.05 to 1.66) compared to the children of adult mothers (> 19 years) after adjusting potential confounders. The factors associated with mothers' first childbirth during adolescence were the age gap between husband and wife 5-10 years (aOR: 1.81; 95% Cl: 1.57-2.10) and age gap > 10 years (aOR: 2.41; 95% Cl: 1.96-2.97) compared with the age group < 5 years, and husbands' education (aOR: 1.29; 95% Cl: 1.04-1.61) compared with the uneducated husbands. In the literature review, we found potential gaps in focusing on the Adolescent Sexual and Reproductive Health (ASRH) program in Bangladesh, from thirty-two programmes only half of them focused on adolescents aged 10-19 years, and eleven programmes focused only on girls. CONCLUSION Children of adolescent mothers are at risk of wasting, underweight, and any form of undernutrition. For effective policies and interventions in Bangladesh, it is important to emphasise delaying adolescent pregnancy and prioritising child undernutrition.
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Affiliation(s)
- Md Alamgir Hossain
- Maternal and Child Health Division (MCHD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh.
| | - Novel Chandra Das
- Health System and Population Studies Division (HSPSD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Md Tariqujjaman
- Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Abu Bakkar Siddique
- Maternal and Child Health Division (MCHD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Rubaiya Matin Chandrima
- Maternal and Child Health Division (MCHD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Md Fakhar Uddin
- Nutrition Research Division (NRD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - S M Hasibul Islam
- Maternal and Child Health Division (MCHD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Abu Sayeed
- Maternal and Child Health Division (MCHD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Anisuddin Ahmed
- Maternal and Child Health Division (MCHD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
- Global Health and Migration Unit, Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Shams El Arifeen
- Maternal and Child Health Division (MCHD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Hassan Rushekh Mahmood
- Maternal and Child Health Division (MCHD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
| | - Ahmed Ehsanur Rahman
- Maternal and Child Health Division (MCHD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
- NIHR Global Health Research Unit on Respiratory Health (RESPIRE), Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Aniqa Tasnim Hossain
- Maternal and Child Health Division (MCHD), International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), 68, Shaheed Tajuddin Ahmed Sarani, Mohakhali, Dhaka, 1212, Bangladesh
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Xuan Y, Qiu M, Huang G, Huang C, Hu X, Fan L. The reference curves of percentile for the length and head circumference of infants aged 0-1 year in Hainan Province, China. Sci Rep 2024; 14:18704. [PMID: 39134611 PMCID: PMC11319442 DOI: 10.1038/s41598-024-69085-0] [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: 12/18/2023] [Accepted: 07/31/2024] [Indexed: 08/15/2024] Open
Abstract
We first established percentile reference curves for infant length and head circumference in Hainan Province based on gender and age in months and compared them with the 2022 national standards and World Health Organization (WHO) standards. This cross-sectional survey involved 2736 infants (1471 boys and 1265 girls) in 18 cities and counties in Hainan Province. Standardized instruments were used to measure head circumference and length. Reference values for Hainan infants' length and head circumference were determined using the LMS method. Curves were generated using the LMS Chart Maker software. According to the newly established reference curves, the length and head circumference of Hainan infants exhibited a consistent trend of steady growth. However, the average head circumference was below the 2022 national reference values and WHO standards. The mean length was lower than the new national reference values but roughly consistent with the WHO standards. Differences exist in infant length and head circumference in Hainan compared to national and global averages. To enhance infant length and head circumference growth, the health department should encourage exclusive breastfeeding for the first 6 months, ensure infants' sleep needs at night, and promote the regularity of vitamin D supplementation during the perinatal period.
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Affiliation(s)
- Yan Xuan
- Hainan Women and Children's Medical Centre (Hainan Branch of Children's Hospital of Fudan University), No. 15 Longkun South Road, Haikou, 570000, Hainan, China
| | - Mengfan Qiu
- Children's Hospital of Fudan University, No. 399 Wanyuan Road, Shanghai, 201102, China
- School of Nursing, Fudan University, No. 305 Fengling Road, Shanghai, 200032, China
| | - Guoying Huang
- Children's Hospital of Fudan University, No. 399 Wanyuan Road, Shanghai, 201102, China
- Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases(2018RU002), Chinese Academy of Medical Sciences, No. 399 Wanyuan Road, Shanghai, 201102, China
- Shanghai Key Laboratory of Birth Defects, No. 399 Wanyuan Road, Shanghai, 201102, China
| | - Chuican Huang
- Hainan Women and Children's Medical Centre (Hainan Branch of Children's Hospital of Fudan University), No. 15 Longkun South Road, Haikou, 570000, Hainan, China
| | - Xiaojing Hu
- Hainan Women and Children's Medical Centre (Hainan Branch of Children's Hospital of Fudan University), No. 15 Longkun South Road, Haikou, 570000, Hainan, China.
- Children's Hospital of Fudan University, No. 399 Wanyuan Road, Shanghai, 201102, China.
- Research Unit of Early Intervention of Genetically Related Childhood Cardiovascular Diseases(2018RU002), Chinese Academy of Medical Sciences, No. 399 Wanyuan Road, Shanghai, 201102, China.
| | - Lichun Fan
- Hainan Women and Children's Medical Centre (Hainan Branch of Children's Hospital of Fudan University), No. 15 Longkun South Road, Haikou, 570000, Hainan, China.
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Ashok S, Mughal M, Javed R. Mother's age at marriage and gender-differential in child schooling: Evidence from Pakistan. ECONOMICS AND HUMAN BIOLOGY 2024; 54:101405. [PMID: 38875751 DOI: 10.1016/j.ehb.2024.101405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 03/27/2024] [Accepted: 05/27/2024] [Indexed: 06/16/2024]
Abstract
In this study, we provide empirical evidence in support of intergenerational effects of women's marriage age on girl-specific child education outcomes using a nationally representative household survey of 24,809 households from Pakistan. Our key findings are four-fold: First, we find that mother's age at marriage has no girl-specific impact on the education of children of school going age in terms of school enrolment, type of school (public/private) or education expenditure. However, there is a positive effect of delaying mother's marriage on girls in terms of relative grade progression and primary school attainment, implying that late-marrying mothers are more likely to transfer their human capital advantages/disadvantages to the daughters. Second, the impact does not depend on whether the child is firstborn or later-order, youngest child or with no siblings. Sex of the previous child does not affect the relationship either. Third, the beneficial impact of mother's marriage age on girls' education is visible only in the cohort of women who got married in 2000 or later. Fourth, father's marriage age is significantly associated with an increase in daughters' school enrolment and primary completion. The impact of smaller spousal age difference is also positive. These findings are robust to the use of empirical strategies and specifications that address potential endogeneity, collider bias, recall bias, sample selection and confounding factors. These findings suggest that delay in women's marriage is helping to narrow down gender disparities in education. The findings underscore the need to promote social and behavioural changes that encourage later marriages.
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Affiliation(s)
- Sumeet Ashok
- UMR Transitions Énergétiques et Environnementales (UMRTREE), University of Pau and Pays de l'Adour, France
| | | | - Rashid Javed
- Newcastle Business School, Northumbria University, UK and TREE, University of Pau and Pays de l'Adour, France.
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Kuswanto H, Oktaviana PP, Efendi F, Nelwati N, Malini H. Prevalence of and factors associated with female child marriage in Indonesia. PLoS One 2024; 19:e0305821. [PMID: 38968277 PMCID: PMC11226054 DOI: 10.1371/journal.pone.0305821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 06/04/2024] [Indexed: 07/07/2024] Open
Abstract
Statistics from the 2018 National Social and Economic Survey revealed that one out of nine young females in Indonesia have been in female child marriage, and the prevalence remains high. Considering the serious consequences of female child marriage and that Sustainable Development Goal 5 on gender equality has targeted the elimination of female child marriage by 2030, a study concerning the prevalence and determinants of female child marriage needs to be conducted in Indonesia. In this paper, we examined the prevalence of and factors associated with female child marriage in Indonesia using binary logistic regression. We examined data from the Indonesia Demographic and Health Survey conducted in 2017. A sample of 9,333 young females aged 15-20 years was included in the study. Our analysis involved descriptive and binary logistic regression analysis. The results are presented in percentages and odds ratios (OR), with their respective confidence intervals. Our findings indicate that health insurance and sex of household head did not significantly influence female child marriage. The prevalence of female child marriage in Indonesia was quite high, reaching about 12.53%. Females with no education [OR = 76.448; (CI = 29.73-196.70)], not working [OR = 1.662; (CI = 1.41-1.94)], those with the poorest wealth index [OR = 3.215; (CI = 2.336-4.425)], those living in the east of Indonesia [OR = 1.451; (CI = 1.132-1.862)], and those living in rural areas [OR = 0.718; (CI = 0.609-0.844)] had the higher odds of experiencing female child marriage. Meanwhile, females with a secondary education level [OR = 16.296; (CI = 11.098-23.930)], those with a rich wealth index [OR = 1.940; (CI = 1.404-2.681)], and those living in the middle of Indonesia [OR = 1.263; (CI = 1.074-1.487)] were less likely to experience female child marriage. Educational background was the most significant factor influencing the high prevalence of female child marriage in Indonesia. Female empowerment through education as well as poverty alleviation were factors that could be strengthened to ensure that female child marriage is reduced or eliminated in Indonesia. Equality of access to information and better quality of education also need to be prioritized.
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Affiliation(s)
- Heri Kuswanto
- Department of Statistics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia
| | | | - Ferry Efendi
- Faculty of Nursing, Universitas Airlangga, Surabaya, Indonesia
| | | | - Hema Malini
- Faculty of Nursing, Andalas University, Padang, Indonesia
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Bahri Khomami M, Hashemi S, Shorakae S, Harrison CL, Piltonen TT, Romualdi D, Tay CT, Mousa A, Vanky E, Teede HJ. Systematic review and meta-analysis of birth outcomes in women with polycystic ovary syndrome. Nat Commun 2024; 15:5592. [PMID: 38965241 PMCID: PMC11224419 DOI: 10.1038/s41467-024-49752-6] [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: 12/03/2023] [Accepted: 06/18/2024] [Indexed: 07/06/2024] Open
Abstract
It is unclear whether polycystic ovary syndrome (PCOS) is an independent risk factor for adverse birth outcomes in the offspring of affected women. Here, we investigate the association of PCOS with birth outcomes in the offspring of women with PCOS overall and by potential confounders. This systematic review and meta-analysis included 73 studies and 92,881 offspring of women with and without PCOS from inception until 13th July 2022. We report that mothers with PCOS are younger and have higher body mass index (BMI) around conception and have greater gestational weight gain. The odds of preterm birth, fetal growth restriction and low birth weight are higher and mean birthweight is lower in PCOS of which a lower mean birthweight and a higher small for gestational age are probably independent of BMI. This work informed the recommendations from the 2023 international evidence-based guideline for the assessment and management of polycystic ovary syndrome, emphasizing that PCOS status should be captured at pregnancy to identify risk and improve birth outcomes in the offspring.
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Affiliation(s)
- Mahnaz Bahri Khomami
- Faculty of Medicine, Nursing and Health Sciences, Monash Centre for Health Research and Implementation, Monash University, Melbourne, Australia.
| | | | - Soulmaz Shorakae
- Faculty of Medicine, Nursing and Health Sciences, Monash Centre for Health Research and Implementation, Monash University, Melbourne, Australia
| | - Cheryce L Harrison
- Faculty of Medicine, Nursing and Health Sciences, Monash Centre for Health Research and Implementation, Monash University, Melbourne, Australia
- Endocrinology and Diabetes Units, Monash Health, Melbourne, VIC, Australia
| | - Terhi T Piltonen
- Department of Obstetrics and Gynecology, Research Unit of Clinical Medicine, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Daniela Romualdi
- Department of Woman and Child Health and Public Health, Woman Health Area, Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Chau Thien Tay
- Faculty of Medicine, Nursing and Health Sciences, Monash Centre for Health Research and Implementation, Monash University, Melbourne, Australia
| | - Aya Mousa
- Faculty of Medicine, Nursing and Health Sciences, Monash Centre for Health Research and Implementation, Monash University, Melbourne, Australia
| | - Eszter Vanky
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Obstetrics and Gynecology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Helena J Teede
- Faculty of Medicine, Nursing and Health Sciences, Monash Centre for Health Research and Implementation, Monash University, Melbourne, Australia
- Endocrinology and Diabetes Units, Monash Health, Melbourne, VIC, Australia
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15
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Bahri Khomami M, Shorakae S, Hashemi S, Harrison CL, Piltonen TT, Romualdi D, Tay CT, Teede HJ, Vanky E, Mousa A. Systematic review and meta-analysis of pregnancy outcomes in women with polycystic ovary syndrome. Nat Commun 2024; 15:5591. [PMID: 38965226 PMCID: PMC11224312 DOI: 10.1038/s41467-024-49749-1] [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: 12/03/2023] [Accepted: 06/18/2024] [Indexed: 07/06/2024] Open
Abstract
Screening for polycystic ovary syndrome (PCOS) in antenatal care is inadequate, largely owing to the lack of clarity around whether PCOS is an independent risk factor for pregnancy complications. This systematic review and meta-analysis include 104 studies and 106,690 pregnancies in women with and without PCOS from inception until 13th July 2022. We report that women with PCOS are younger and have higher body mass index (BMI) around conception and have greater gestational weight gain. The odds of miscarriage, gestational diabetes mellitus, gestational hypertension, pre-eclampsia and cesarean section are higher in women with PCOS. The increased odds of adverse outcomes in PCOS remain significant when age and BMI are matched and when analyses are restricted to high-quality studies. This work informed the recommendations from the 2023 international evidence-based guideline for the assessment and management of polycystic ovary syndrome, emphasizing that PCOS status should be captured in all women who are planning to, or have recently become pregnant to facilitate prevention of adverse outcomes and improve pregnancy outcomes.
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Affiliation(s)
- Mahnaz Bahri Khomami
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
| | - Soulmaz Shorakae
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | | | - Cheryce L Harrison
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
- Endocrinology and Diabetes Units, Monash Health, Melbourne, VIC, Australia
| | - Terhi T Piltonen
- Department of Obstetrics and Gynecology, Research Unit of Clinical Medicine, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Daniela Romualdi
- Department of Woman and Child Health and Public Health, Woman Health Area, Fondazione Policlinico Universitario A. Gemelli, Rome, Italy
| | - Chau Thien Tay
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Helena J Teede
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
- Endocrinology and Diabetes Units, Monash Health, Melbourne, VIC, Australia
| | - Eszter Vanky
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Obstetrics and Gynecology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
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Kranjac AW, Kranjac D, Aguilera RI. Pediatric obesity in the United States: Age-period-cohort analysis. Heliyon 2024; 10:e32603. [PMID: 39183830 PMCID: PMC11341345 DOI: 10.1016/j.heliyon.2024.e32603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 05/24/2024] [Accepted: 06/05/2024] [Indexed: 08/27/2024] Open
Abstract
The rates of obesity among American children aged 2-5 years has reached a historic high. It is crucial to identify the putative sources of population-level increases in obesity prevalence among preschool-aged children because early childhood is a critical window for obesity prevention and thus reduction of future incidence. We used the National Health and Nutrition Examination Survey data and hierarchical age-period-cohort analysis to examine lifecycle (i.e., age), historical (i.e., period), and generational (i.e., cohort) distribution of age- and sex-specific body mass index z-scores (zBMI) among 2-5-year-olds in the U.S. from 1999 to 2018. Our current findings indicate that period effects, rather than differences in groups born at a specific time (i.e., cohort effects), account for almost all of the observed changes in zBMI. We need a broad socioeconomic, cultural, and environmental strategy to counteract the current obesogenic environment that influences children of all ages and generations in order to reach large segments of preschoolers and achieve population-wide improvement.
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Affiliation(s)
- Ashley W. Kranjac
- Department of Sociology, Wilkinson College, Chapman University, Orange, CA, USA
- The Earl Babbie Research Center, Chapman University, Orange, CA, USA
| | - Dinko Kranjac
- Psychology Program, College of Health and Community Well-Being, University of La Verne, La Verne, CA, USA
- Institute of Mental Health and Psychological Well-Being, University of La Verne, La Verne, CA, USA
| | - Roxanne I. Aguilera
- Department of Sociology, Wilkinson College, Chapman University, Orange, CA, USA
- The Earl Babbie Research Center, Chapman University, Orange, CA, USA
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Fenta W, Zeru MA. Multilevel bivariate analysis of the association between high-risk fertility behaviors of birth and stunting with associated risk factors in Ethiopia. Front Nutr 2024; 11:1355808. [PMID: 38883857 PMCID: PMC11179432 DOI: 10.3389/fnut.2024.1355808] [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: 12/14/2023] [Accepted: 05/01/2024] [Indexed: 06/18/2024] Open
Abstract
Introduction Currently, the linkage between high-risk fertility behavior of birth and the occurrence of stunting among children under the age of 5 continues to be a significant public health problem in developing countries, including Ethiopia. This issue poses a threat to the health and overall wellbeing of under-five children. Thus, the main objective of this study was to examine the association between high-risk fertility behavior of birth and the stunting status of children and associated factors. Methods The data used for this study were extracted from the recent Ethiopian Mini Demographic and Health Survey data in 2019. A total weighted sample of 4,969 under-five children was included in this study, and the relevant data were extracted from those samples. The multilevel bivariate analysis was used to assess the association between high-risk fertility behavior of birth and the stunting status of under-five children in Ethiopia. Results It was found that, out of 4,997 under-five children, 24% of under-five children experienced stunting as a result of high-risk fertility behavior of birth. Our study also revealed an intra-class correlation of 0.2, indicating that 20% of the variability in both high-risk fertility behaviors of birth and stunting can be attributed to differences between communities. Furthermore, there was a statistically significant association between high-risk fertility behavior of birth and the stunting status of children under the age of 5 years [AOR = 8.5, 95% CI: (5.58, 18.70)]. Similarly, the stunting status of birth among boys was 1.36 times greater than the estimated odds of the stunting status of birth among girls [AOR = 1.36, 95% CI: (1.19, 1.55)]. Conclusion This study found that there was a significant statistical association between high-risk fertility behavior of birth and stunting status of under-five children. Specifically, children born to mothers under 18 years and in households with high parity were identified as the main risk factors for child stunting. Furthermore, health-related education, improved access to maternal healthcare, and training interventions were associated with high-risk fertility behavior during birth and child stunting. The study suggests that regular health assessments and early interventions for infants born to mothers with high-risk reproductive characteristics are crucial to reducing the impact of child stunting under 5 years of age.
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Affiliation(s)
- Wondaya Fenta
- Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia
| | - Melkamu A Zeru
- Department of Statistics, College of Science, Bahir Dar University, Bahir Dar, Ethiopia
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Ahinkorah BO, Aboagye RG, Mohammed A, Duodu PA, Adnani QES, Seidu AA. Socioeconomic and residence-based inequalities in adolescent fertility in 39 African countries. Reprod Health 2024; 21:72. [PMID: 38822372 PMCID: PMC11140906 DOI: 10.1186/s12978-024-01806-0] [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: 09/27/2023] [Accepted: 05/02/2024] [Indexed: 06/03/2024] Open
Abstract
INTRODUCTION Despite the advancement in sexual and reproductive healthcare services and several public health measures aimed at controlling fertility rates, countries in sub-Saharan Africa (SSA) still experience higher adolescent fertility rates than other low-and middle-income countries. This study examined the disparities in adolescent fertility in 39 countries in SSA, focusing on socioeconomic and residence-based dimensions. METHODS This study involved a secondary analysis of data obtained from 39 recent Demographic and Health Surveys conducted in SSA. The measures of difference (D), ratio (R), population attributable fraction (PAF), and population attributable risk (PAR) were estimated using the Health Equity Assessment Tool (HEAT) software version 3.1 developed by the World Health Organization. The measures: D, R, PAF, and PAR were used to examine the inequalities in adolescent fertility across the socioeconomic and residence-based dimensions. RESULTS Out of the 39 countries included in the study, Guinea (D=27.70), Niger (D=27.50), Nigeria (D=23.90), and Côte d'Ivoire (D=23.60) exhibited the most significant residence-based inequalities in the rate of adolescent fertility, with the higher rate observed among adolescents in rural areas. Rwanda was the sole country that showed a slight inclination towards rural inequality in terms of the rate of adolescent fertility, with a value of D = -0.80. The burden of adolescent fertility was disproportionately higher among young women with low economic status across all the countries, exacerbating wealth-based inequities. The countries with the largest absolute discrepancies were Nigeria (D=44.70), Madagascar (D=41.10), Guinea (D=41.00), and Cameroon (D=40.20). We found significant disparities in educational attainment contributing to unequal inequalities in adolescent fertility, particularly among young women who lack access to formal education. Countries such as Madagascar (D=59.50), Chad (D=55.30), Cameroon (D=54.60), and Zimbabwe (D=50.30) had the most significant absolute disparities. CONCLUSION This study revealed that young women residing in rural areas, those in households with low economic status and those with limited educational opportunities experience a disproportionately high burden of adolescent fertility across the 39 countries in SSA. The current findings offer valuable information to governmental entities at all levels regarding the need to ensure the provision of equitable, accessible, and dependable sexual and reproductive health services to the populace, particularly for young women. Therefore, the various stakeholders need to enhance the effectiveness of health policies and legislation pertaining to adolescent women living in rural areas, those from economically disadvantaged households, and those with limited or no access to formal education. Such interventions could potentially reduce adolescent fertility rates and mitigate the adverse maternal and child outcomes associated with high adolescent fertility in SSA.
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Affiliation(s)
- Bright Opoku Ahinkorah
- School of Clinical Medicine, University of New South Wales, Sydney, Australia
- REMS Consultancy Services, Takoradi, Western Region, Ghana
| | - Richard Gyan Aboagye
- School of Population Health, University of New South Wales, Sydney, NSW, 2052, Australia.
- Department of Family and Community Health, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Ho, PMB 31, Hohoe, Ghana.
| | - Aliu Mohammed
- Department of Health, Physical Education, and Recreation, University of Cape Coast, Cape Coast, Ghana
| | - Precious Adade Duodu
- Department of Nursing, School of Human and Health Sciences, University of Huddersfield, Queensgate, Huddersfield, England, United Kingdom
| | | | - Abdul-Aziz Seidu
- REMS Consultancy Services, Takoradi, Western Region, Ghana
- Centre for Gender and Advocacy, Takoradi Technical University, P.O. Box 256, Takoradi, Ghana
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD, 4811, Australia
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Devi TC, Singh HS. Maternal age and adverse pregnancy outcomes among Meitei women of Manipur, Northeast India: A cross-sectional study. Am J Hum Biol 2024; 36:e24029. [PMID: 38108608 DOI: 10.1002/ajhb.24029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/23/2023] [Accepted: 11/26/2023] [Indexed: 12/19/2023] Open
Abstract
OBJECTIVE The study examines the outcomes of pregnancies conceived at advanced maternal age (AMA) and maternal complications after childbirth among Meitei women of Northeast India. METHOD A total of 760 women participants were included in this study and compared among women aged ≥35 years, with a reference group of women aged 20-34 years. Data on obstetric characteristics were collected after obtaining consent. The data were compared using chi-square analysis, and the results were adjusted using a logistic regression model. Decision trees were developed to predict the potential variables associated with preterm delivery and postpartum complication. RESULTS In the study, 18.95% of AMA women experienced one or more adverse pregnancy outcomes (APOs). Women with AMA are at significantly increased risk of placenta previa (adjusted odds ratio [AOR] = 4.89, 95% confidence interval [CI]: 2.78-8.57), induction of labor (AOR = 3.69, 95%CI: 2.48-5.50), and caesarean section (AOR = 3.42, 95%CI: 2.28-5.12). Moreover, AMA women have a 1.86-2.76 AOR for developing gestational diabetes, pregnancy-induced hypertension, urinary tract infections, preterm delivery, and postpartum complications. Decision tree analysis revealed that AMA and urban residence independently predict preterm delivery and postpartum complications. CONCLUSION The study's findings confirm the adverse impact of AMA on pregnancy outcomes and postpartum complications. Such issues should be addressed, and counseling on the risk of AMA should be provided, particularly for those in the high-risk group. Further prospective studies are needed to understand other potential risk factors of APOs and the impact of AMA complications to prevent the associated burden.
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Padhani ZA, Rahim KA, Tessema GA, Avery JC, Damabi NM, Castleton P, Salam RA, Meherali S, Lassi ZS. Exploring preconception health in adolescents and young adults: Identifying risk factors and interventions to prevent adverse maternal, perinatal, and child health outcomes-A scoping review. PLoS One 2024; 19:e0300177. [PMID: 38630699 PMCID: PMC11023205 DOI: 10.1371/journal.pone.0300177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 02/16/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Preconception health provides an opportunity to examine a woman's health status and address modifiable risk factors that can impact both a woman's and her child's health once pregnant. In this review, we aimed to investigate the preconception risk factors and interventions of early pregnancy and its impact on adverse maternal, perinatal and child health outcomes. METHODS We conducted a scoping review following the PRISMA-ScR guidelines to include relevant literature identified from electronic databases. We included reviews that studied preconception risk factors and interventions among adolescents and young adults, and their impact on maternal, perinatal, and child health outcomes. All identified studies were screened for eligibility, followed by data extraction, and descriptive and thematic analysis. FINDINGS We identified a total of 10 reviews. The findings suggest an increase in odds of maternal anaemia and maternal deaths among young mothers (up to 17 years) and low birth weight (LBW), preterm birth, stillbirths, and neonatal and perinatal mortality among babies born to mothers up to 17 years compared to those aged 19-25 years in high-income countries. It also suggested an increase in the odds of congenital anomalies among children born to mothers aged 20-24 years. Furthermore, cancer treatment during childhood or young adulthood was associated with an increased risk of preterm birth, LBW, and stillbirths. Interventions such as youth-friendly family planning services showed a significant decrease in abortion rates. Micronutrient supplementation contributed to reducing anaemia among adolescent mothers; however, human papillomavirus (HPV) and herpes simplex virus (HSV) vaccination had little to no impact on stillbirths, ectopic pregnancies, and congenital anomalies. However, one review reported an increased risk of miscarriages among young adults associated with these vaccinations. CONCLUSION The scoping review identified a scarcity of evidence on preconception risk factors and interventions among adolescents and young adults. This underscores the crucial need for additional research on the subject.
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Affiliation(s)
- Zahra Ali Padhani
- School of Public Health, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Komal Abdul Rahim
- Centre of Excellence in Trauma and Emergencies (CETE), Aga Khan University Hospital, Karachi, Pakistan
- Dean’s Office, Medical College, Aga Khan University Hospital, Karachi, Pakistan
| | - Gizachew A. Tessema
- School of Public Health, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Jodie C. Avery
- Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Negin Mirzaei Damabi
- School of Public Health, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Patience Castleton
- School of Public Health, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Rehana A. Salam
- Centre of Research Excellence, Melanoma Institute Australia, University of Sydney, Sydney, Australia
| | - Salima Meherali
- College of Health Sciences, Faculty of Nursing, University of Alberta, Edmonton Clinic Health Academy, Edmonton, AB, Canada
| | - Zohra S. Lassi
- School of Public Health, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
- Robinson Research Institute, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
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Wan W, Zhu Y, Tian J, Cheng Y, Zeng L, Zhu Z. Associations of parental age at pregnancy with adolescent cognitive development and emotional and behavioural problems: a birth cohort in rural Western China. BMC Public Health 2024; 24:775. [PMID: 38475730 PMCID: PMC10935899 DOI: 10.1186/s12889-024-18309-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 03/08/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND The relationship between parental age at pregnancy and offspring development in low- and middle-income countries remains unclear. We aimed to examine the associations of parental age at pregnancy with adolescent development in rural China. METHODS We conducted a prospective birth cohort study of offspring born to pregnant women who participated in an antenatal micronutrient supplementation trial in rural Western China. Adolescent cognitive development and emotional and behavioural problems were assessed by using the Wechsler Intelligence Scale for Children-IV and the Youth Self-Report-2001, respectively. After accounting for the possible nonlinear relationships, we examined the linear associations between parental age (in years) at pregnancy and scores of adolescent cognitive development and emotional and behavioural problems by performing generalized estimating equations. RESULTS Among 1897 adolescents followed from birth to early adolescence, 59.5% were male with a mean age of 11.8 (standard deviation (SD): 0.8) years. The mean ages of mothers and fathers at pregnancy were 24.6 (SD: 4.4) and 27.9 (SD: 4.1) years old, respectively. All the P values of the nonlinear terms between parental age and adolescent development in all domains were greater than 0.05. Each one-year increase in maternal age at pregnancy was associated with a 0.29-point (95% confidence interval (CI) 0.06, 0.52) increase in the full-scale intelligence quotient in early adolescence. After parental age was categorized into quartiles, the total behavioural problem scores of adolescents with fathers with an age in the fourth quartile (Q4) were 6.71 (95% CI 0.86, 12.57) points higher than those of adolescents with fathers with an age in the first quartile (Q1), with a linear trend P value of 0.01. Similarly, higher scores (worse behavioural problems) were observed for internalizing behavioural problems and other emotional and behavioural symptoms related to anxiety, withdrawal, social problems, thought problems and aggressive behaviour. CONCLUSIONS At conception, older maternal age was independently linked to better adolescent cognitive development, whereas advanced paternal age was independently associated with a greater risk of adolescent emotional and behavioral problems. These findings suggest that public health policies targeting an optimal parental age at pregnancy should be developed in the context of offspring developmental consequences.
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Affiliation(s)
- Wanting Wan
- Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, P. R. China
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, P. R. China
| | - Yingze Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, P. R. China
| | - Jiaxin Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, P. R. China
| | - Yue Cheng
- Department of Nutrition and Food Safety Research, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, 710061, Shaanxi, P. R. China
| | - Lingxia Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, P. R. China.
- Center for Chronic Disease Control and Prevention, Global Health Institution, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, P. R. China.
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, 710061, Shaanxi, P. R. China.
| | - Zhonghai Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, No. 76, Yanta West Road, Xi'an, 710061, Shaanxi, P. R. China.
- Center for Chronic Disease Control and Prevention, Global Health Institution, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, P. R. China.
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, 710061, Shaanxi, P. R. China.
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Fauser BCJM, Adamson GD, Boivin J, Chambers GM, de Geyter C, Dyer S, Inhorn MC, Schmidt L, Serour GI, Tarlatzis B, Zegers-Hochschild F. Declining global fertility rates and the implications for family planning and family building: an IFFS consensus document based on a narrative review of the literature. Hum Reprod Update 2024; 30:153-173. [PMID: 38197291 PMCID: PMC10905510 DOI: 10.1093/humupd/dmad028] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 09/25/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Family-planning policies have focused on contraceptive approaches to avoid unintended pregnancies, postpone, or terminate pregnancies and mitigate population growth. These policies have contributed to significantly slowing world population growth. Presently, half the countries worldwide exhibit a fertility rate below replacement level. Not including the effects of migration, many countries are predicted to have a population decline of >50% from 2017 to 2100, causing demographic changes with profound societal implications. Policies that optimize chances to have a child when desired increase fertility rates and are gaining interest as a family-building method. Increasingly, countries have implemented child-friendly policies (mainly financial incentives in addition to public funding of fertility treatment in a limited number of countries) to mitigate decreasing national populations. However, the extent of public spending on child benefits varies greatly from country to country. To our knowledge, this International Federation of Fertility Societies (IFFS) consensus document represents the first attempt to describe major disparities in access to fertility care in the context of the global trend of decreasing growth in the world population, based on a narrative review of the existing literature. OBJECTIVE AND RATIONALE The concept of family building, the process by which individuals or couples create or expand their families, has been largely ignored in family-planning paradigms. Family building encompasses various methods and options for individuals or couples who wish to have children. It can involve biological means, such as natural conception, as well as ART, surrogacy, adoption, and foster care. Family-building acknowledges the diverse ways in which individuals or couples can create their desired family and reflects the understanding that there is no one-size-fits-all approach to building a family. Developing education programs for young adults to increase family-building awareness and prevent infertility is urgently needed. Recommendations are provided and important knowledge gaps identified to provide professionals, the public, and policymakers with a comprehensive understanding of the role of child-friendly policies. SEARCH METHODS A narrative review of the existing literature was performed by invited global leaders who themselves significantly contributed to this research field. Each section of the review was prepared by two to three experts, each of whom searched the published literature (PubMed) for peer reviewed full papers and reviews. Sections were discussed monthly by all authors and quarterly by the review board. The final document was prepared following discussions among all team members during a hybrid invitational meeting where full consensus was reached. OUTCOMES Major advances in fertility care have dramatically improved family-building opportunities since the 1990s. Although up to 10% of all children are born as a result of fertility care in some wealthy countries, there is great variation in access to care. The high cost to patients of infertility treatment renders it unaffordable for most. Preliminary studies point to the increasing contribution of fertility care to the global population and the associated economic benefits for society. WIDER IMPLICATIONS Fertility care has rarely been discussed in the context of a rapid decrease in world population growth. Soon, most countries will have an average number of children per woman far below the replacement level. While this may have a beneficial impact on the environment, underpopulation is of great concern in many countries. Although governments have implemented child-friendly policies, distinct discrepancies in access to fertility care remain.
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Affiliation(s)
- Bart C J M Fauser
- University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands
| | | | | | | | | | - Silke Dyer
- Groot Schuur Hospital and Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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Misunas C, Soler-Hampejsek E, Kangwana B, Haberland NA. Do adolescent girls' education and friendships have independent effects on early pregnancy? Results of a mediation analysis from a longitudinal cohort study in Nairobi, Kenya. SSM Popul Health 2024; 25:101618. [PMID: 38426033 PMCID: PMC10901828 DOI: 10.1016/j.ssmph.2024.101618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/16/2024] [Accepted: 01/30/2024] [Indexed: 03/02/2024] Open
Abstract
Background Few studies have examined whether the effect of education on pregnancy and childbearing is due to the academic skills acquired or the social environment that schooling provides. This paper explores whether adolescent girls' learning skills, school enrollment, grade attainment, and friendships affect risk of pregnancy, and whether friendships mediate the relationship between education and pregnancy. Methods We draw on three waves of longitudinal data on adolescent girls aged 11-15 in Kibera, an informal settlement in Nairobi, Kenya between years 2015-2019. We use fixed effects regression models to estimate effects of girls' learning skills, school attendance, grade attainment, and friendships on their probability of experiencing a pregnancy. We conduct mediation analyses to assess whether friendships mediate the relationship between education and pregnancy. Results By round one (2015), 0.1 % of girls reported having experienced a pregnancy; by round three (2019), 6.3 %. Even after adjusting for friendships, we find that attending school decreases probability of pregnancy by nine percentage points; an additional year of schooling decreases probability of pregnancy by three percentage points; and a one standard deviation increase in numeracy decreases probability of pregnancy by one percentage point. Having any male friends who do not attend school increases girls' probability of experiencing a pregnancy by four percentage points; this association remains after adjusting for girls' education. However, out-of-school girls are far more likely to report out-of-school male friends. We find no evidence that other types of friendships affect girls' probability of becoming pregnant. Conclusion We find significant protective effects of school attendance, higher grade attainment and numeracy skills on girls' pregnancy, and that having close friendships with out-of-school males increases girls' probability of pregnancy. We did not find evidence of meaningful mediation, suggesting that the protective effects of school attendance and learning remain regardless of any risk they may face from their friendships.
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Mphamba PN, Chirwa GC, Mazalale J. An evolution of inequality of opportunity in the nutritional outcomes of under-five children in Malawi. SSM Popul Health 2024; 25:101606. [PMID: 38292048 PMCID: PMC10825516 DOI: 10.1016/j.ssmph.2024.101606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 01/09/2024] [Accepted: 01/09/2024] [Indexed: 02/01/2024] Open
Abstract
Background Malnutrition among children is a significant public health and development issue, especially in low- and middle-income countries, Malawi inclusive, which contributes to preventable diseases and deaths. Significant socioeconomic disparities persist, which affect access to and equal distribution of basic nutrition. This study analyzed the extent and trends of Inequality of Opportunity (IOP) in the nutritional outcomes of children aged 0-59 months. Methods The study used nationally representative data from the 2006, 2013-14, and 2019-20 Malawi Multiple Indicator Cluster Survey. In terms of method, we examined IOP in stunting, wasting, and underweight indicators, using the Human Opportunity Index and the Dissimilarity Index in 55,723 children. The Shapley-value technique decomposed the relative IOP. Results We find the largest share of circumstance-driven inequality in stunting (8.96 percent), followed by underweight (1.91 percent), and then wasting (0.90 percent). The Shapley-value decomposition results indicate the child's age (29.15 percent for stunting, 12.42 percent for underweight, and 52.36 percent for wasting) and gender (8.28 percent, 18.36 percent and 8.87 percent), wealth (6.36 percent, 22.87 percent and 8.54 percent), and mother's education (6.28 percent, 11.29 percent and 5.51 percent) as the dominant contributors to IOP for all three nutritional outcome indicators; stunting, underweight and wasting, respectively. Conclusion The findings suggest that policies aimed at narrowing the wealth and education inequality gap could help equalize nutrition opportunities for children in Malawi.
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Zhu Y, Zhang H, Qi J, Liu Y, Yan Y, Wang T, Zeng P. Evaluating causal influence of maternal educational attainment on offspring birthweight via observational study and Mendelian randomization analyses. SSM Popul Health 2024; 25:101587. [PMID: 38229657 PMCID: PMC10790093 DOI: 10.1016/j.ssmph.2023.101587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/25/2023] [Accepted: 12/16/2023] [Indexed: 01/18/2024] Open
Abstract
Background Although extensive discussions on the influence of maternal educational attainment on offspring birthweight, the conclusion remains controversial, and it is challenging to comprehensively assess the causal association between them. Methods To estimate effect of maternal educational attainment on the birthweight of first child, we first conducted an individual-level analysis with UK Biobank participants of white ancestry (n = 208,162). We then implemented Mendelian randomization (MR) methods including inverse variance weighted (IVW) MR and multivariable MR to assess the causal relation between maternal education and maternal-specific birthweight. Finally, using the UK Biobank parent-offspring trio data (n = 618), we performed a polygenic score based MR to simultaneously adjust for confounding effects of fetal-specific birthweight and paternal educational attainment. We also conducted simulations for power evaluation and sensitivity analyses for horizontal pleiotropy of instruments. Results We observed that birthweight of first child was positively influenced by maternal education, with 7 years of maternal education as the reference, adjusted effect = 44.8 (95%CIs 38.0-51.6, P = 6.15 × 10-38), 54.9 (95%CIs 47.6-62.2, P = 4.21 × 10-128), and 89.4 (95%CIs 82.1-96.7, P = 4.28 × 10-34) for 10, 15 and 20 years of maternal educational attainment, respectively. A causal relation between maternal education and offspring birthweight was revealed by IVW MR (estimated effect = 0.074 for one standard deviation increase in maternal education years, 95%CIs 0.054-0.093, P = 2.56 × 10-13) and by complementary MR methods. This connection was not substantially affected by paternal education or horizontal pleiotropy. Further, we found a positive but insignificant causal association (adjusted effect = 24.0, 95%CIs -150.1-198.1, P = 0.787) between maternal education and offspring birthweight after simultaneously controlling for fetal genome and paternal education; this null causality was largely due to limited power of small sample sizes of parent-offspring trios. Conclusion This study offers supportive evidence for a causal association between maternal education and offspring birthweight, highlighting the significance of enhancing maternal education to prevent low birthweight.
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Affiliation(s)
- Yiyang Zhu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Hao Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Jike Qi
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Yuxin Liu
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Yu Yan
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
- Xuzhou Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
- Jiangsu Engineering Research Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
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Zhang S, Luo Q, Meng R, Yan J, Wu Y, Huang H. Long-term health risk of offspring born from assisted reproductive technologies. J Assist Reprod Genet 2024; 41:527-550. [PMID: 38146031 PMCID: PMC10957847 DOI: 10.1007/s10815-023-02988-5] [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: 06/29/2023] [Accepted: 11/02/2023] [Indexed: 12/27/2023] Open
Abstract
Since the world's first in vitro fertilization baby was born in 1978, there have been more than 8 million children conceived through assisted reproductive technologies (ART) worldwide, and a significant proportion of them have reached puberty or young adulthood. Many studies have found that ART increases the risk of adverse perinatal outcomes, including preterm birth, low birth weight, small size for gestational age, perinatal mortality, and congenital anomalies. However, data regarding the long-term outcomes of ART offspring are limited. According to the developmental origins of health and disease theory, adverse environments during early life stages may induce adaptive changes and subsequently result in an increased risk of diseases in later life. Increasing evidence also suggests that ART offspring are predisposed to an increased risk of non-communicable diseases, such as malignancies, asthma, obesity, metabolic syndrome, diabetes, cardiovascular diseases, and neurodevelopmental and psychiatric disorders. In this review, we summarize the risks for long-term health in ART offspring, discuss the underlying mechanisms, including underlying parental infertility, epigenetic alterations, non-physiological hormone levels, and placental dysfunction, and propose potential strategies to optimize the management of ART and health care of parents and children to eliminate the associated risks. Further ongoing follow-up and research are warranted to determine the effects of ART on the long-term health of ART offspring in later life.
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Affiliation(s)
- Siwei Zhang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, No. 419, Fangxie Rd, Shanghai, 200011, China
| | - Qinyu Luo
- Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University School of Medicine, Hangzhou, China
| | - Renyu Meng
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, No. 419, Fangxie Rd, Shanghai, 200011, China
| | - Jing Yan
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, No. 419, Fangxie Rd, Shanghai, 200011, China
| | - Yanting Wu
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, No. 419, Fangxie Rd, Shanghai, 200011, China.
- Research Unit of Embryo Original Diseases (No. 2019RU056), Chinese Academy of Medical Sciences, Shanghai, China.
| | - Hefeng Huang
- Obstetrics and Gynecology Hospital, Institute of Reproduction and Development, Fudan University, No. 419, Fangxie Rd, Shanghai, 200011, China.
- Key Laboratory of Reproductive Genetics, Ministry of Education, Zhejiang University School of Medicine, Hangzhou, China.
- Research Unit of Embryo Original Diseases (No. 2019RU056), Chinese Academy of Medical Sciences, Shanghai, China.
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Singh P, Singh KK. Trends, patterns and predictors of high-risk fertility behaviour among Indian women: evidence from National Family Health Survey. BMC Public Health 2024; 24:626. [PMID: 38413929 PMCID: PMC10900591 DOI: 10.1186/s12889-024-18046-3] [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: 04/07/2023] [Accepted: 02/08/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Numerous studies have demonstrated that high-risk fertility behaviour (HRFB), which includes maternal age below 18 or above 34 years, short birth intervals (less than 24 months), and high parity (birth order above 4), is associated with adverse maternal and child health outcomes. There is a substantial research gap in the domain of high-risk fertility behaviour in the Indian context. Therefore, this study is designed to investigate the current trends and patterns in the prevalence of high-risk births among Indian women, with a primary focus on identifying contributing factors associated with this prevalence. METHODS The study utilized data from the nationally representative National Family Health Survey (NFHS), which has been conducted in five rounds since 1992-93. Data from all rounds were used to assess the overall trend. However, data from the most recent round of NFHS, conducted during 2019-21, were employed to evaluate current levels and patterns of HRFB prevalence and to identify socio-economic and demographic predictors of HRFB using binomial and multinomial logistic regression models. RESULTS The prevalence of HRFB has exhibited a consistent decreasing pattern from 1992 to 93 to 2019-21 in India. However, 29.56% of married women continue to experience high-risk births with notably higher rates in several states (e.g., 49.85% in Meghalaya and 46.41% in Bihar). Furthermore, socio-demographic factors like wealth index, educational level, social group, religion, mass media exposure, family size, age at marriage, type and region of residence, and reproductive factors like birth intention, place and type of delivery, ANC visits and current contraceptive use were identified as significant predictors of high-risk births among women in India. CONCLUSION Despite a 20.4 percentage point decline in HRFB prevalence over the past three decades, a significant proportion of women in specific regions and demographic subgroups continue to experience high-risk births. Therefore, the present study recommends interventions aimed at preventing high-risk births among women in India, with particular emphasis on states with high HRFB prevalence and women from socioeconomically disadvantaged backgrounds.
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Affiliation(s)
- Pooja Singh
- Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
| | - Kaushalendra Kumar Singh
- Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India
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Kovesi T. Intergenerational trauma and long-term lung dysfunction: Early life exposures and pulmonary function in Indigenous Australian adults. Respirology 2024; 29:92-93. [PMID: 38114453 DOI: 10.1111/resp.14651] [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: 12/02/2023] [Accepted: 12/11/2023] [Indexed: 12/21/2023]
Abstract
See related article
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Affiliation(s)
- Thomas Kovesi
- Department of Pediatrics, Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada
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Golob JL, Oskotsky TT, Tang AS, Roldan A, Chung V, Ha CWY, Wong RJ, Flynn KJ, Parraga-Leo A, Wibrand C, Minot SS, Oskotsky B, Andreoletti G, Kosti I, Bletz J, Nelson A, Gao J, Wei Z, Chen G, Tang ZZ, Novielli P, Romano D, Pantaleo E, Amoroso N, Monaco A, Vacca M, De Angelis M, Bellotti R, Tangaro S, Kuntzleman A, Bigcraft I, Techtmann S, Bae D, Kim E, Jeon J, Joe S, Theis KR, Ng S, Lee YS, Diaz-Gimeno P, Bennett PR, MacIntyre DA, Stolovitzky G, Lynch SV, Albrecht J, Gomez-Lopez N, Romero R, Stevenson DK, Aghaeepour N, Tarca AL, Costello JC, Sirota M. Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research. Cell Rep Med 2024; 5:101350. [PMID: 38134931 PMCID: PMC10829755 DOI: 10.1016/j.xcrm.2023.101350] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 09/15/2023] [Accepted: 12/01/2023] [Indexed: 12/24/2023]
Abstract
Every year, 11% of infants are born preterm with significant health consequences, with the vaginal microbiome a risk factor for preterm birth. We crowdsource models to predict (1) preterm birth (PTB; <37 weeks) or (2) early preterm birth (ePTB; <32 weeks) from 9 vaginal microbiome studies representing 3,578 samples from 1,268 pregnant individuals, aggregated from public raw data via phylogenetic harmonization. The predictive models are validated on two independent unpublished datasets representing 331 samples from 148 pregnant individuals. The top-performing models (among 148 and 121 submissions from 318 teams) achieve area under the receiver operator characteristic (AUROC) curve scores of 0.69 and 0.87 predicting PTB and ePTB, respectively. Alpha diversity, VALENCIA community state types, and composition are important features in the top-performing models, most of which are tree-based methods. This work is a model for translation of microbiome data into clinically relevant predictive models and to better understand preterm birth.
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Affiliation(s)
- Jonathan L Golob
- Division of Infectious Disease, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA, USA.
| | - Tomiko T Oskotsky
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA, USA; Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
| | - Alice S Tang
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA, USA; Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Alennie Roldan
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA, USA; Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | | | - Connie W Y Ha
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Ronald J Wong
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; March of Dimes Prematurity Research Center at Stanford University, Stanford, CA, USA
| | | | - Antonio Parraga-Leo
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, Obstetrics and Gynaecology, Universidad de Valencia, Valencia, Spain; IVIRMA Global Research Alliance, IVI Foundation, Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
| | - Camilla Wibrand
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Samuel S Minot
- Data Core, Shared Resources, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Boris Oskotsky
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA
| | - Gaia Andreoletti
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA, USA; Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | - Idit Kosti
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA, USA; Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
| | | | | | - Jifan Gao
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA
| | - Zhoujingpeng Wei
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA
| | - Guanhua Chen
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA
| | - Zheng-Zheng Tang
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA
| | - Pierfrancesco Novielli
- Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti, Università degli Studi di Bari Aldo Moro, Bari, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
| | - Donato Romano
- Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti, Università degli Studi di Bari Aldo Moro, Bari, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
| | - Ester Pantaleo
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy; Dipartimento Interateneo di Fisica "M, Merlin", Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Nicola Amoroso
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy; Dipartimento di Farmacia - Scienze del Farmaco, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Alfonso Monaco
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy; Dipartimento Interateneo di Fisica "M, Merlin", Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Mirco Vacca
- Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Maria De Angelis
- Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti, Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Roberto Bellotti
- Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy; Dipartimento Interateneo di Fisica "M, Merlin", Università degli Studi di Bari Aldo Moro, Bari, Italy
| | - Sabina Tangaro
- Dipartimento di Scienze del Suolo, della Pianta e degli Alimenti, Università degli Studi di Bari Aldo Moro, Bari, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Bari, Italy
| | - Abigail Kuntzleman
- Department of Biological Sciences, Michigan Technological University, Houghton, MI, USA
| | - Isaac Bigcraft
- Department of Biological Sciences, Michigan Technological University, Houghton, MI, USA
| | - Stephen Techtmann
- Department of Biological Sciences, Michigan Technological University, Houghton, MI, USA
| | - Daehun Bae
- School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea
| | - Eunyoung Kim
- School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea
| | - Jongbum Jeon
- Korea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea
| | - Soobok Joe
- Korea Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea
| | - Kevin R Theis
- Department of Biochemistry, Microbiology and Immunology, Wayne State University, Detroit, MI, USA
| | - Sherrianne Ng
- Imperial College Parturition Research Group, Division of the Institute of Reproductive and Developmental Biology, Imperial College London, London, UK; March of Dimes Prematurity Research Centre at Imperial College London, London, UK
| | - Yun S Lee
- Imperial College Parturition Research Group, Division of the Institute of Reproductive and Developmental Biology, Imperial College London, London, UK; March of Dimes Prematurity Research Centre at Imperial College London, London, UK
| | - Patricia Diaz-Gimeno
- IVIRMA Global Research Alliance, IVI Foundation, Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
| | - Phillip R Bennett
- Imperial College Parturition Research Group, Division of the Institute of Reproductive and Developmental Biology, Imperial College London, London, UK; March of Dimes Prematurity Research Centre at Imperial College London, London, UK
| | - David A MacIntyre
- Imperial College Parturition Research Group, Division of the Institute of Reproductive and Developmental Biology, Imperial College London, London, UK; March of Dimes Prematurity Research Centre at Imperial College London, London, UK
| | - Gustavo Stolovitzky
- Center for Computational Biology and Bioinformatics, Columbia University, New York, NY, USA; Thomas J. Watson Research Center, IBM, Yorktown Heights, NY, USA; Sema4, Stamford, CT, USA
| | - Susan V Lynch
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Division of Gastroenterology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | | | - Nardhy Gomez-Lopez
- Department of Biochemistry, Microbiology and Immunology, Wayne State University, Detroit, MI, USA; Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Detroit, MI, USA
| | - Roberto Romero
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Detroit, MI, USA; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI, USA; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA; Detroit Medical Center, Detroit, MI, USA; Department of Obstetrics and Gynecology, Florida International University, Miami, FL, USA
| | - David K Stevenson
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; Center for Academic Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Nima Aghaeepour
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA; Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA; Department of Biomedical Data Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Adi L Tarca
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, US Department of Health and Human Services, Detroit, MI, USA; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI, USA; Department of Computer Science, Wayne State University College of Engineering, Detroit, MI, USA
| | - James C Costello
- Department of Pharmacology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Marina Sirota
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA, USA; Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA; Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA.
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Wassie EG, Tenagashaw MW, Tiruye TY. Women empowerment and childhood stunting: evidence from rural northwest Ethiopia. BMC Pediatr 2024; 24:30. [PMID: 38195435 PMCID: PMC10775445 DOI: 10.1186/s12887-023-04500-5] [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: 03/09/2023] [Accepted: 12/20/2023] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Women are often the primary caregivers of children, and as such, their empowerment could influence the nutritional status of their children. However, the role of maternal empowerment on the nutritional status of children in Ethiopia is largely unknown. AIM To determine the association of women's empowerment with childhood stunting in rural northwest Ethiopia. METHODS A community-based cross-sectional study was conducted among 582 mothers with children aged 6-59 months. A multistage sampling technique was used to select the study participants. Binomial logistic regression analyses were used to assess whether women's empowerment (categorized as low, moderate and high) and its five dimensions (household decision-making, educational status, cash earnings, house/land ownership, and membership in community groups) were associated with stunting in children. Odds ratios with 95% CI were estimated, and statistical significance was declared at a p-value of < 0.05. RESULTS A total of 114 (19.6%), 312 (53.6%), and 156 (26.8%) participants had low, moderate, and high empowerment levels, respectively. In addition, 255 (43.8%) mothers had children who were stunted (too short for their age). In the adjusted models, mothers with moderate empowerment (AOR 0.60, 95% CI: 0.35, 0.97) and high empowerment (AOR 0.56, 95% CI: 0.37, 0.86) had lower odds of having stunted children compared to mothers with low empowerment. Mothers who had a secondary education or higher (AOR 0.57, 95% CI: 0.35, 0.93), owned a house or land (AOR 0.64, 95% CI: 0.44, 0.94) and were members of community groups (AOR 0.54, 95% CI: 0.36, 0.80) were less likely to have stunted children. CONCLUSION High women empowerment was significantly associated with a lower likelihood of childhood stunting. The findings suggest a need to look beyond the direct causes of stunting and incorporate targeted strategies for empowering women into child nutrition programs.
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Affiliation(s)
| | - Mesfin Wogayehu Tenagashaw
- Applied Human Nutrition Department, Faculty of Chemical and Food Engineering, Bahir Dar University, Bahir Dar, Amhara Region, Ethiopia
| | - Tenaw Yimer Tiruye
- School of Public Health, Debre Markos University, Debre Markos, Ethiopia.
- Allied Health and Human Performance, University of South Australia, Adelaide, Australia.
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Welch C, Wong CK, Lelijveld N, Kerac M, Wrottesley SV. Adolescent pregnancy is associated with child undernutrition: Systematic review and meta-analysis. MATERNAL & CHILD NUTRITION 2024; 20:e13569. [PMID: 37781871 PMCID: PMC10749999 DOI: 10.1111/mcn.13569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Revised: 08/07/2023] [Accepted: 09/05/2023] [Indexed: 10/03/2023]
Abstract
Adolescent pregnancy is associated with poor fetal growth and development which, in turn, increases the risk of childhood wasting and underweight. However, evidence on how young maternal age affects childhood anthropometry beyond the neonatal period is limited. This systematic review and meta-analysis examined associations between adolescent pregnancy and child wasting and underweight and explored potential underlying social and biological factors. Peer-reviewed literature published in English since 1990 was systematically searched. Eligible studies presented data on wasting and/or underweight in children (≤59 months) born to adolescent mothers (10-19, or ≤24 years where applicable) from low- and middle-income countries. Data extraction used a predefined extraction sheet. Both meta-analysis and qualitative synthesis were performed. Of 92 identified studies, 57 were included in the meta-analysis. The meta-analysis showed that children born to adolescent versus adult mothers were at a higher risk of moderate (odds ratio [OR]: 1.12, 95% confidence interval [CI]: 1.00-1.26 p = 0.04) and severe underweight (OR: 1.21, 95% CI: 1.08-1.35 p < 0.01). Associated risk of wasting was not statistically significant: (OR: 1.05, 95% CI: 0.98-1.12 p = 0.17); severe wasting (OR: 1.16, 95% CI: 0.68-1.96 p = 0.59). These findings were supported by the qualitative synthesis. Evidence on the potential role of biological/social factors was limited, but suggested an intermediary role of maternal nutritional status which warrants further exploration. Particularly in contexts where adolescent pregnancy remains common, interventions to both delay adolescent pregnancy and improve adolescent nutritional status could help reduce the risk of undernutrition in children and contribute to breaking the intergenerational cycle of malnutrition.
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Affiliation(s)
- Caroline Welch
- Department of Population HealthLondon School of Hygiene & Tropical MedicineLondonUK
| | - Christopher K. Wong
- Department of Population HealthLondon School of Hygiene & Tropical MedicineLondonUK
| | - Natasha Lelijveld
- Department of Population HealthLondon School of Hygiene & Tropical MedicineLondonUK
- Emergency Nutrition Network (ENN)OxfordshireUK
| | - Marko Kerac
- Department of Population HealthLondon School of Hygiene & Tropical MedicineLondonUK
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Jordaan EM, Joubert G, Robb L, Ngounda J, Walsh CM. Associations between socio-demographic characteristics of pregnant women and birth outcome: The Nutritional status of Expectant Mothers and their newborn Infants study. Child Care Health Dev 2024; 50:e13181. [PMID: 37737654 DOI: 10.1111/cch.13181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 08/30/2023] [Accepted: 09/10/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Low socio-economic status is associated with poor birth outcomes, however, few studies on this topic have been conducted in South Africa. We determined associations between socio-demographic variables of pregnant women and birth outcome in their offspring. METHODS This study was nested in a prospective cohort study conducted at an antenatal clinic at a regional hospital in Bloemfontein, South Africa. Questionnaires on socio-demographic information were completed on 682 pregnant women in a structured interview. Post-delivery, 331 participants provided the Road to Health Booklets for 347 infants, in which birth data were recorded. Associations between socio-demographic variables and birth outcome (defined as premature delivery or low length-for-age or low weight-for-length at birth) were investigated. Logistic regression with backward selection (p < 0.05) was used to select independent factors that were significantly associated with birth outcome. Variables with a p-value of <0.15 on bivariate analysis were considered for inclusion in the model. RESULTS Poor birth outcome was observed in 36.3% (116/320) of women. The odds of experiencing poor birth outcome were lower for women who owned a stove versus those who did not (OR 0.11, 95% CI: 0.02-0.67), and higher for women with grade 8-10 (OR 5.84, 95% CI: 1.90-17.91) or grade 10-12 (OR 4.33, 95% CI: 1.50-12.49) as their highest level of education versus tertiary education. The odds of experiencing poor birth outcomes were also higher for those employed part-time (OR 2.55, 95% CI: 1.10-5.93) versus full-time and/or self-employed. CONCLUSION Our findings confirm that the presence of basic amenities such as a stove, better education and employment improve the chances of better birth outcomes. Early screening of pregnant women for the identification of socio-demographic risk factors that may impact on birth outcome is recommended.
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Affiliation(s)
- Elizabeth Margaretha Jordaan
- Department of Nutrition and Dietetics, School of Health and Rehabilitation Sciences, Faculty of Health Sciences, University of the Free State, Bloemfontein, Republic of South Africa
| | - Gina Joubert
- Department of Biostatistics, School of Biomedical Sciences, Faculty of Health Sciences, University of the Free State, Bloemfontein, Republic of South Africa
| | - Liska Robb
- Department of Nutrition and Dietetics, School of Health and Rehabilitation Sciences, Faculty of Health Sciences, University of the Free State, Bloemfontein, Republic of South Africa
| | - Jennifer Ngounda
- Department of Nutrition and Dietetics, School of Health and Rehabilitation Sciences, Faculty of Health Sciences, University of the Free State, Bloemfontein, Republic of South Africa
| | - Corinna May Walsh
- Department of Nutrition and Dietetics, School of Health and Rehabilitation Sciences, Faculty of Health Sciences, University of the Free State, Bloemfontein, Republic of South Africa
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Cluver L, Jochim J, Mapukata Y, Wittesaele C, Shenderovich Y, Mafuya S, Steventon Roberts K, Banougnin B, Sherr L, Toska E. Associations of formal childcare use with health and human capital development for adolescent mothers and their children in South Africa: A cross-sectional study. Child Care Health Dev 2024; 50:e13138. [PMID: 37287209 PMCID: PMC10952304 DOI: 10.1111/cch.13138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/29/2023] [Accepted: 05/10/2023] [Indexed: 06/09/2023]
Abstract
AIM This study aims to investigate associations of formal childcare with maternal and child outcomes in a large sample of adolescent mothers. BACKGROUND Forty percent of adolescent girls in Africa are mothers. Increasing evidence shows positive impacts of formal childcare use for adult women, but no known studies in the Global South examine associations for adolescent mothers and their children. METHODS We interviewed 1046 adolescent mothers and completed developmental assessments with their children (n = 1139) in South Africa's Eastern Cape between 2017 and 2019. Questionnaires measured childcare use, maternal and child outcomes and socio-demographic background variables. Using cross-sectional data, associations between formal childcare use and outcomes were estimated in multivariate multi-level analyses that accounted for individual-level and family-level clustering. RESULTS Childcare use was associated with higher odds of being in education or employment (AOR: 4.01, 95% CIs: 2.59-6.21, p < .001), grade promotion (AOR: 2.08, 95% CIs: 1.42-3.05, p < .001) and positive future ideation (AOR: 1.58, 95% CIs: 1.01-2.49, p = .047) but no differences in mental health. Childcare use was also associated with better parenting on all measures: positive parenting (AOR: 1.66, 95% CIs: 1.16-2.38, p = .006), better parental limit-setting (AOR: 2.00, 95% CIs: 1.37-2.93, p < .001) and better positive discipline (AOR: 1.77, 95% CIs: 1.21-2.59, p = .003). For the children, there were no differences in temperament or illness, but a significant interaction showed stronger associations between childcare use and better cognitive, language and motor scores with increasing child age (AOR: 5.04, 95% CIs: 1.59-15.96, p = .006). CONCLUSIONS Adolescent mothers might benefit substantially from formal childcare, but causal links need to be explored further. Childcare use was also associated with improved parenting and better child development over time, suggesting positive pathways for children. At an average of $9 per month, childcare provisions for adolescent mothers may offer low-cost opportunities to achieve high returns on health and human capital outcomes in Sub-Saharan African contexts.
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Affiliation(s)
- Lucie Cluver
- Department of Social Policy and InterventionUniversity of OxfordOxfordUK
- Department of PsychiatryUniversity of Cape TownCape TownSouth Africa
| | - Janina Jochim
- Department of Social Policy and InterventionUniversity of OxfordOxfordUK
| | | | - Camille Wittesaele
- Department of Infectious Disease EpidemiologyLondon School of Hygiene and Tropical MedicineLondonUK
| | - Yulia Shenderovich
- Wolfson Centre for Young People's Mental HealthUniversity of CardiffCardiffUK
- Centre for the Development and Evaluation of Complex Interventions for Public Health Improvement (DECIPHer), School of Social SciencesCardiff UniversityCardiffUK
| | | | - Kathryn Steventon Roberts
- Department of Social Policy and InterventionUniversity of OxfordOxfordUK
- Institute for Global HealthUniversity College LondonLondonUK
| | - Bolade Banougnin
- Centre for Social Science ResearchUniversity of Cape TownCape TownSouth Africa
| | - Lorraine Sherr
- Institute for Global HealthUniversity College LondonLondonUK
| | - Elona Toska
- Centre for Social Science ResearchUniversity of Cape TownCape TownSouth Africa
- Department of SociologyUniversity of Cape TownCape TownSouth Africa
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Bukuku DD, Prasopkittikun T, Payakkaraung S, Lenwari C. Factors influencing Tanzanian mothers' feeding practices for toddlers: A predictive correlational study. BELITUNG NURSING JOURNAL 2023; 9:603-610. [PMID: 38130674 PMCID: PMC10731432 DOI: 10.33546/bnj.2974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/20/2023] [Accepted: 11/25/2023] [Indexed: 12/23/2023] Open
Abstract
Background Feeding practices are crucial in ensuring toddlers receive an appropriate and varied diet to support their growth and development. In Tanzania, maternal feeding practices for young children are inadequate, and there is limited research on the influencing factors. Objective This study aimed to examine the factors influencing Tanzanian mothers' feeding practices for toddlers, utilizing the health promotion model as the theoretical framework. Methods A predictive correlational design was employed, with a random sample of 399 mothers who brought their toddlers for health supervision at a tertiary care hospital in the United Republic of Tanzania. Data on personal information, depression, perceived benefits, perceived barriers, perceived self-efficacy, social support, situational influences, and maternal feeding practices were collected using self-administered questionnaires between September 2021 and November 2021. Descriptive statistics, correlations, and multiple regression analysis were employed for the analysis. Results All the factors examined in the study accounted for 18.9% of the variance explained in maternal feeding practices. Significantly, only two factors, perceived self-efficacy (β = 0.32, p <0.001) and situational influences (β = 0.24, p <0.001), could predict maternal feeding practices. Conclusion Perceived self-efficacy and situational influences emerged as the primary influencing factors on maternal feeding practices for toddlers. Pediatric nurses should address these modifiable factors when developing nursing interventions and strategies to promote a healthy nutritional status in toddlers.
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Zhou Y, Yin S, Sheng Q, Yang J, Liu J, Li H, Yuan P, Zhao Y. Association of maternal age with adverse pregnancy outcomes: A prospective multicenter cohort study in China. J Glob Health 2023; 13:04161. [PMID: 38038697 PMCID: PMC10691438 DOI: 10.7189/jogh.13.04161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023] Open
Abstract
Background Although maternal age might affect pregnancy outcomes, it remains unclear whether this relationship is linear or curvilinear and if it differs between nulliparous and multiparous women. We aimed to characterize the relationship between maternal age and risks of pregnancy outcomes in a diverse sample of Chinese singleton pregnant women and to evaluate whether the relationship varied by parity. Methods We based this prospective multicenter cohort study on data from 18 495 singleton pregnant women who participated in the University Hospital Advanced Age Pregnant Cohort Study, conducted in eight Chinese public hospitals from 2016 to 2021. We used restricted cubic splines to model nonlinear relationships between maternal age continuum and adverse outcomes, and performed multivariable log-binomial regression to estimate the adjusted relative risk (RR) and 95% confidence interval (CI). Results Among 18 495 singleton pregnant women (mean age 35.7, standard deviation (SD) = 4.2 years), maternal age was not related to postpartum hemorrhage or small for gestational age, but showed a positive, nonlinear relationship to gestational diabetes mellitus, hypertensive disorders of pregnancy, preeclampsia, placenta accreta spectrum, placenta previa, cesarean delivery, preterm birth, large for gestational age, macrosomia, and fetal congenital anomaly, with inflection points around 35.6-40.4 years. Compared to women younger than 35 years, older women had higher risks of adverse pregnancy outcomes, except for postpartum hemorrhage and small for gestational age. The risks of placenta accreta spectrum, placenta previa, large for gestational age, and macrosomia were highest for women aged 40-44 years, and risks of gestational diabetes mellitus, hypertensive disorders of pregnancy, preeclampsia, cesarean delivery, preterm birth and congenital anomaly were highest for those aged ≥45 years. Most risks were more pronounced in nulliparous than multiparous women (P for interaction <0.02). Conclusions Delayed childbirth was related to increased risks of adverse pregnancy outcomes, especially for nulliparous women. Appropriate childbearing age, generally before 35 years, is recommended for optimising pregnancy outcomes.
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Affiliation(s)
- Yubo Zhou
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University Health Science Center, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Shaohua Yin
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Peking University Third Hospital, Beijing, China
- National Clinical Research Centre for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Qing Sheng
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
- National Clinical Research Centre for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Jing Yang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
- National Clinical Research Centre for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Jianmeng Liu
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University Health Science Center, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Hongtian Li
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University Health Science Center, Beijing, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Pengbo Yuan
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
- National Clinical Research Centre for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
| | - Yangyu Zhao
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
- National Center for Healthcare Quality Management in Obstetrics, Peking University Third Hospital, Beijing, China
- National Clinical Research Centre for Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China
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Nyongesa P, Ekhaguere OA, Marete I, Tenge C, Kemoi M, Bann CM, Bucher SL, Patel AB, Hibberd PL, Naqvi F, Saleem S, Goldenberg RL, Goudar SS, Derman RJ, Krebs NF, Garces A, Chomba E, Carlo WA, Mwenechanya M, Lokangaka A, Tshefu AK, Bauserman M, Koso-Thomas M, Moore JL, McClure EM, Liechty EA, Esamai F. Maternal age extremes and adverse pregnancy outcomes in low-resourced settings. Front Glob Womens Health 2023; 4:1201037. [PMID: 38090046 PMCID: PMC10715413 DOI: 10.3389/fgwh.2023.1201037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 11/14/2023] [Indexed: 02/01/2024] Open
Abstract
Introduction Adolescent (<20 years) and advanced maternal age (>35 years) pregnancies carry adverse risks and warrant a critical review in low- and middle-income countries where the burden of adverse pregnancy outcomes is highest. Objective To describe the prevalence and adverse pregnancy (maternal, perinatal, and neonatal) outcomes associated with extremes of maternal age across six countries. Patients and methods We performed a historical cohort analysis on prospectively collected data from a population-based cohort study conducted in the Democratic Republic of Congo, Guatemala, India, Kenya, Pakistan, and Zambia between 2010 and 2020. We included pregnant women and their neonates. We describe the prevalence and adverse pregnancy outcomes associated with pregnancies in these maternal age groups (<20, 20-24, 25-29, 30-35, and >35 years). Relative risks and 95% confidence intervals of each adverse pregnancy outcome comparing each maternal age group to the reference group of 20-24 years were obtained by fitting a Poisson model adjusting for site, maternal age, parity, multiple gestations, maternal education, antenatal care, and delivery location. Analysis by region was also performed. Results We analyzed 602,884 deliveries; 13% (78,584) were adolescents, and 5% (28,677) were advanced maternal age (AMA). The overall maternal mortality ratio (MMR) was 147 deaths per 100,000 live births and increased with advancing maternal age: 83 in the adolescent and 298 in the AMA group. The AMA groups had the highest MMR in all regions. Adolescent pregnancy was associated with an adjusted relative risk (aRR) of 1.07 (1.02-1.11) for perinatal mortality and 1.13 (1.06-1.19) for neonatal mortality. In contrast, AMA was associated with an aRR of 2.55 (1.81 to 3.59) for maternal mortality, 1.58 (1.49-1.67) for perinatal mortality, and 1.30 (1.20-1.41) for neonatal mortality, compared to pregnancy in women 20-24 years. This pattern was overall similar in all regions, even in the <18 and 18-19 age groups. Conclusion The maternal mortality ratio in the LMICs assessed is high and increased with advancing maternal age groups. While less prevalent, AMA was associated with a higher risk of adverse maternal mortality and, like adolescence, was associated with adverse perinatal mortality with little regional variation.
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Affiliation(s)
- Paul Nyongesa
- Department of Obstetrics and Gynecology, Moi University School of Medicine, Eldoret, Kenya
| | - Osayame A. Ekhaguere
- Division of Neonatal-Perinatal Medicine, Indiana University School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Irene Marete
- Department of Child Health and Paediatrics, Moi University School of Medicine, Eldoret, Kenya
| | - Constance Tenge
- Department of Child Health and Paediatrics, Moi University School of Medicine, Eldoret, Kenya
| | - Milsort Kemoi
- Department of Child Health and Paediatrics, Moi University School of Medicine, Eldoret, Kenya
| | - Carla M. Bann
- Social Statistical, and Environmental Sciences Unit, RTI International, Durham, NC, United States
| | - Sherri L. Bucher
- Division of Neonatal-Perinatal Medicine, Indiana University School of Medicine, Indiana University, Indianapolis, IN, United States
- Department of Community and Global Health, Richard M. Fairbanks School of Public Health, IU-Indianapolis, Indianapolis, IN, United States
| | - Archana B. Patel
- Department of Pediatrics, Datta Meghe Institute of Medical Sciences, Wardha, Maharashtra, India
| | - Patricia L. Hibberd
- Department of Global Health, Boston University School of Public Health, Boston, MA, United States
| | - Farnaz Naqvi
- Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan
| | - Sarah Saleem
- Department of Community Health Sciences, Aga Khan University, Karachi, Pakistan
| | - Robert L. Goldenberg
- Department of Obstetrics and Gynecology, Columbia University School of Medicine, New York, NY, United States
| | - Shivaprasad S. Goudar
- Women's and Children's Health Research Unit, J N Medical College Belagavi, KLE Academy Higher Education and Research, Karnataka, India
| | - Richard J. Derman
- Global Affairs, Thomas Jefferson University, Philadelphia, PA, United States
| | - Nancy F. Krebs
- Department of Pediatrics, University of Colorado School of Medicine, Denver, CO, United States
| | - Ana Garces
- Department of Pediatrics, Instituto de Nutrición de Centroamérica y Panamá, Guatemala City, Guatemala
| | - Elwyn Chomba
- Department of Pediatrics, University Teaching Hospital, Lusaka, Zambia
| | - Waldemar A. Carlo
- Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, United States
| | | | - Adrien Lokangaka
- Department of Pediatrics, Kinshasa School of Public Health, Kinshasa, Democratic Republic of Congo
| | - Antoinette K. Tshefu
- School of Public Health, University of Kinshasa, Kinshasa, Democratic Republic of Congo
| | - Melissa Bauserman
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Marion Koso-Thomas
- Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MA, United States
| | - Janet L. Moore
- Social Statistical, and Environmental Sciences Unit, RTI International, Durham, NC, United States
| | - Elizabeth M. McClure
- Social Statistical, and Environmental Sciences Unit, RTI International, Durham, NC, United States
| | - Edward A. Liechty
- Division of Neonatal-Perinatal Medicine, Indiana University School of Medicine, Indiana University, Indianapolis, IN, United States
| | - Fabian Esamai
- Department of Child Health and Paediatrics, Moi University School of Medicine, Eldoret, Kenya
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Caparros-Gonzalez RA, Essau C, Gouin JP, Pemau A, Galvez-Merlin A, de la Torre-Luque A. Perinatal, obstetric and parental risk factors for asthma in the offspring throughout childhood: a longitudinal cohort study. J Perinat Med 2023; 51:1163-1170. [PMID: 37326102 DOI: 10.1515/jpm-2022-0543] [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: 11/09/2022] [Accepted: 04/29/2023] [Indexed: 06/17/2023]
Abstract
OBJECTIVES Asthma is a common chronic and burdensome disease which typically begins in childhood. The aim of this study was to assess perinatal and obstetric factors which may increase the risk of developing asthma in the offspring. METHODS Data from five consecutive waves (n=7,073 children, from birth to 15 years old) from a nationally-representative birth cohort of people born in the United Kingdom between 2000 and 2002, the Millennium Cohort Study (MCS), were used. The Kaplan-Meier survival curve was used to graphically display the risk of developing asthma from early childhood to adolescence. The Z-based Wald test was used to prove significant covariate loading. RESULTS Cox regression analyzing the influence of covariates on asthma development risk showed a significant likelihood ratio test, χ2(18)=899.30, p<0.01. A parent with asthma (OR=2.02, p<0.01), a younger maternal age at delivery (OR=0.98, p<0.05), and the use of assisted reproductive technology (OR=1.43, p<0.05) were associated with an increased risk of developing asthma in the offspring. CONCLUSIONS Perinatal factors (a younger maternal age, assisted reproductive technology) and a parental factor (a parent with asthma) increased the risk for developing asthma in the offspring.
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Affiliation(s)
- Rafael A Caparros-Gonzalez
- Department of Nursing, Faculty of Health Sciences, University of Granada, Granada, Spain
- Instituto de Investigacion Biosanitaria ibs.GRANADA, Granada, Spain
| | - Cecilia Essau
- School of Psychology, University of Roehampton, London, UK
| | | | - Andres Pemau
- Department of Personality, Assessment and Clinical Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Alejandra Galvez-Merlin
- Department of Personality, Assessment and Clinical Psychology, Universidad Complutense de Madrid, Madrid, Spain
| | - Alejandro de la Torre-Luque
- Department of Legal Medicine, Psychiatry and Pathology, Universidad Complutense de Madrid, Madrid, Spain
- Centre for Biomedical Research in Mental Health (CIBERSAM), Madrid, Spain
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Neeser NB, Martani A, De Clercq E, De Geyter C, Vulliemoz N, Elger BS, Wangmo T. Building a family at advanced parental age: a systematic review on the risks and opportunities for parents and their offspring. Hum Reprod Open 2023; 2023:hoad042. [PMID: 38045093 PMCID: PMC10692762 DOI: 10.1093/hropen/hoad042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 10/26/2023] [Indexed: 12/05/2023] Open
Abstract
STUDY QUESTION What is the existing empirical literature on the psychosocial health and wellbeing of the parents and offspring born at an advanced parental age (APA), defined as 40 years onwards? SUMMARY ANSWER Although the studies show discrepancies in defining who is an APA parent and an imbalance in the empirical evidence for offspring, mothers, and fathers, there is a drive towards finding psychotic disorders and (neuro-)developmental disorders among the offspring; overall, the observed advantages and disadvantages are difficult to compare. WHAT IS KNOWN ALREADY In many societies, children are born to parents at advanced ages and there is rising attention in the literature towards the consequences of this trend. STUDY DESIGN SIZE DURATION The systematic search was conducted in six electronic databases (PubMed including Medline, Embase, Scopus, PsycInfo, CINAHL, and SocINDEX) and was limited to papers published between 2000 and 2021 and to English-language articles. Search terms used across all six electronic databases were: ('advanced parental age' OR 'advanced maternal age' OR 'advanced paternal age' OR 'advanced reproductive age' OR 'late parent*' OR 'late motherhood' OR 'late fatherhood') AND ('IVF' OR 'in vitro fertilization' OR 'in-vitro-fertilization' OR 'fertilization in vitro' OR 'ICSI' OR 'intracytoplasmic sperm injection' OR 'reproductive techn*' OR 'assisted reproductive technolog*' OR 'assisted reproduction' OR 'assisted conception' OR 'reproduction' OR 'conception' OR 'birth*' OR 'pregnan*') AND ('wellbeing' OR 'well-being' OR 'psycho-social' OR 'social' OR 'ethical' OR 'right to reproduce' OR 'justice' OR 'family functioning' OR 'parental competenc*' OR 'ageism' OR 'reproductive autonomy' OR 'outcome' OR 'risk*' OR 'benefit*'). PARTICIPANTS/MATERIALS SETTING METHODS The included papers were empirical studies in English published between 2000 and 2021, where the study either examined the wellbeing and psychosocial health of parents and/or their children, or focused on parental competences of APA parents or on the functioning of families with APA parents. A quality assessment of the identified studies was performed with the QATSDD tool. Additionally, 20% of studies were double-checked at the data extraction and quality assessment stage to avoid bias. The variables sought were: the geographical location, the year of publication, the methodological approach, the definitions of APA used, what study group was at the centre of the research, what research topic was studied, and what advantages and disadvantages of APA were found. MAIN RESULTS AND THE ROLE OF CHANCE A total number of 5403 articles were identified, leading to 2543 articles being included for title and abstract screening after removal of duplicates. This resulted in 98 articles included for a full-text reading by four researchers. Ultimately, 69 studies were included in the final sample. The key results concerned four aspects relevant to the research goals. (i) The studies showed discrepancies in defining who is an APA parent. (ii) There was an imbalance in the empirical evidence produced for different participant groups (mothers, fathers, and offspring), with offspring being the most studied study subjects. (iii) The research topics studied underlined the increased risks of neuro-developmental and psychotic disorders among offspring. (iv) The observed advantages and disadvantages were varied and could not be compared, especially for the offspring of APA parents. LIMITATIONS REASONS FOR CAUTION Only English-language studies, published between 2000 and 2021, found in the above-mentioned databases were considered for this review. WIDER IMPLICATIONS OF THE FINDINGS More research is necessary to understand the risks and benefits of building a family at an APA for the offspring when they reach adulthood. Furthermore, studies that explore the perspective of older fathers and older parents from non-Western societies would be highly informative. STUDY FUNDING/COMPETING INTERESTS The writing of this manuscript was permitted by financial support provided by the Swiss National Science Foundation (Weave/Lead Agency funding program, grant number 10001AL_197415/1, project title 'Family Building at Advanced Parental Age: An Interdisciplinary Approach'). The funder had no role in the drafting of this manuscript and the views expressed therein are those of the authors. The authors have no conflicts of interest. REGISTRATION NUMBER This systematic review is registered in Prospero: CRD42022304564.
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Affiliation(s)
- Nathalie B Neeser
- Institute for Biomedical Ethics, University of Basel, Basel, Switzerland
| | - Andrea Martani
- Institute for Biomedical Ethics, University of Basel, Basel, Switzerland
| | - Eva De Clercq
- Institute for Biomedical Ethics, University of Basel, Basel, Switzerland
| | - Christian De Geyter
- Reproductive Medicine and Gynaecological Endocrinology (RME), University Hospital, University of Basel, Basel, Switzerland
| | - Nicolas Vulliemoz
- Centre de Procréation Médicalement Assistée (CPMA), Lausanne, Switzerland
| | - Bernice S Elger
- Institute for Biomedical Ethics, University of Basel, Basel, Switzerland
| | - Tenzin Wangmo
- Institute for Biomedical Ethics, University of Basel, Basel, Switzerland
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Li H, Pu Y, Li Z, Jin Z, Jiang Y. Socioeconomic inequality in teenage pregnancy in Papua New Guinea: a decomposition analysis. BMC Public Health 2023; 23:2184. [PMID: 37936107 PMCID: PMC10631214 DOI: 10.1186/s12889-023-17067-8] [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: 11/06/2022] [Accepted: 10/25/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND Teenage pregnancy is a global public health issue, and it poses a serious threat to the health and socioeconomic status of mothers and their newborn children. Although Papua New Guinea has recorded one of the highest teenage pregnancy rates among Asia-Pacific countries, few studies have conducted research on the related inequality in the country. Therefore, this study aimed to assess socioeconomic inequality in teenage pregnancy and its contributing factors in Papua New Guinea. METHODS Data for this cross-sectional study were obtained from the 2016-2018 Papua New Guinea Demographic and Health Survey. The analytical sample consisted of 2,864 girls aged 15-19 years. We employed Erreygers normalized concentration index (ECI) and concentration curves to measure and depict socioeconomic inequality in teenage pregnancy. Decomposition analysis was likewise performed to identify the contributions of determinants to the observed inequality. RESULTS Weighted ECI for teenage pregnancy was - 0.0582 (P < 0.001), thereby indicating that teenage pregnancy in Papua New Guinea is disproportionately concentrated among poor girls. Decomposition analysis suggested that education level (65.2%), wealth index (55.2%), early sexual debut (25.1%), region (8.5%), and sex of household head (4.1%) are the main determinants explaining the pro-poor socioeconomic inequality in teenage pregnancy. CONCLUSIONS A pro-poor socioeconomic inequality of teenage pregnancy was present in Papua New Guinea. This inequality may be alleviated by such interventions as ensuring that teenage girls receive education; implementing poverty alleviation projects, eliminating child, early, and forced marriages; strengthening promotion for household head to support teenagers in accessing sexual and reproductive health education; improving geographical accessibility to health facilities on contraceptive services, and taking necessary precautions and responses to sexual misconduct.
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Affiliation(s)
- Hao Li
- School of Public Health, Chongqing Medical University, Chongqing, 400016, China
| | - Yiran Pu
- School of Public Health, Chongqing Medical University, Chongqing, 400016, China
| | - Zhen Li
- School of Public Health, Chongqing Medical University, Chongqing, 400016, China
| | - Ziyang Jin
- School of Public Health, Chongqing Medical University, Chongqing, 400016, China
| | - Yi Jiang
- School of Public Health, Chongqing Medical University, Chongqing, 400016, China.
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Zhang R, Fang J, Qi T, Zhu S, Yao L, Fang G, Li Y, Zang X, Xu W, Hao W, Liu S, Yang D, Chen D, Yang J, Ma X, Wu L. Maternal aging increases offspring adult body size via transmission of donut-shaped mitochondria. Cell Res 2023; 33:821-834. [PMID: 37500768 PMCID: PMC10624822 DOI: 10.1038/s41422-023-00854-8] [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: 12/09/2022] [Accepted: 06/21/2023] [Indexed: 07/29/2023] Open
Abstract
Maternal age at childbearing has continued to increase in recent decades. However, whether and how it influences offspring adult traits are largely unknown. Here, using adult body size as the primary readout, we reveal that maternal rather than paternal age has an evolutionarily conserved effect on offspring adult traits in humans, Drosophila, and Caenorhabditis elegans. Elucidating the mechanisms of such effects in humans and other long-lived animals remains challenging due to their long life course and difficulties in conducting in vivo studies. We thus employ the short-lived and genetically tractable nematode C. elegans to explore the mechanisms underlying the regulation of offspring adult trait by maternal aging. By microscopic analysis, we find that old worms transmit aged mitochondria with a donut-like shape to offspring. These mitochondria are rejuvenated in the offspring's early life, with their morphology fully restored before adulthood in an AMPK-dependent manner. Mechanistically, we demonstrate that early-life mitochondrial dysfunction activates AMPK, which in turn not only alleviates mitochondrial abnormalities but also activates TGFβ signaling to increase offspring adult size. Together, our findings provide mechanistic insight into the ancient role of maternal aging in shaping the traits of adult offspring.
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Affiliation(s)
- Runshuai Zhang
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Jinan Fang
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Ting Qi
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Shihao Zhu
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Luxia Yao
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Guicun Fang
- Microscopy Core Facility, Westlake University, Hangzhou, Zhejiang, China
| | - Yunsheng Li
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Xiao Zang
- Model Animal Research Center of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Weina Xu
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Wanyu Hao
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China
| | - Shouye Liu
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
- Institute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, QLD, Australia
| | - Dan Yang
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China
| | - Di Chen
- Model Animal Research Center of Medical School, Nanjing University, Nanjing, Jiangsu, China
| | - Jian Yang
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China.
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
| | - Xianjue Ma
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China.
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China.
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China.
| | - Lianfeng Wu
- Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, Zhejiang, China.
- School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
- Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China.
- Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China.
- Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China.
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Malamitsi-Puchner A, Briana DD. Advanced parental age affects cardiometabolic risk in offspring. Acta Paediatr 2023; 112:2307-2311. [PMID: 37410550 DOI: 10.1111/apa.16902] [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: 05/23/2023] [Revised: 06/24/2023] [Accepted: 07/04/2023] [Indexed: 07/08/2023]
Abstract
Advanced age at conception usually refers to human mothers aged 35 years plus and fathers aged 40 years plus. Advanced parental age may be responsible for genetic and/or epigenetic alterations and may affect the health of offspring. Limited epidemiological and experimental studies have addressed the effect of advanced parental age on cardio-metabolic functions in human and rodent offspring. This mini review aimed to present the knowledge by focusing on adverse and favourable outcomes related to sex-specific risks and intergenerational inheritance. The outcomes identified by this review were mainly negative, but there were also some positive results.
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Affiliation(s)
- Ariadne Malamitsi-Puchner
- Neonatal Intensive Care Unit, 3rd Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Despina D Briana
- Neonatal Intensive Care Unit, 3rd Department of Pediatrics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Duong C, Patel S, Nguyen-Viet H, Chea R, Dang S, Tum S, Ramakrishnan U, Young MF. Access to food markets, household wealth and child nutrition in rural Cambodia: Findings from nationally representative data. PLoS One 2023; 18:e0292618. [PMID: 37851642 PMCID: PMC10584123 DOI: 10.1371/journal.pone.0292618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 09/25/2023] [Indexed: 10/20/2023] Open
Abstract
Access to informal fresh food markets plays a vital role in household food security and dietary quality in transitioning rural economies. However, it is not well understood if market access also improves child nutrition and if the improvement applies to all socioeconomic groups. In this secondary research study, we combined a national listing of food markets (n = 503) with a national household survey to examine the associations of market access with diet and height across wealth groups in children aged 6 to 23 months in rural Cambodia. All children under two years of age with dietary data (n = 1537) or anthropometry data (n = 989) were selected from the household survey. Food markets were geocoded using Google Maps or villages' geographical coordinates publicly available in the Open Development Mekong data platform. Regression calibration was then used to estimate household distance to the nearest market. Descriptive results indicated a highly uneven distribution of food markets with median household distance to the nearest markets ranging between 4 km (IQR: 3-8 km) in the lowland areas and 9 km (IQR: 4-17 km) in the highland areas. Results from the multivariate linear regressions showed that distance to the nearest market was modestly associated with child dietary diversity score (β: -0.17; 95% CI: -0.29, -0.05) but it was not related to child height-for-age z-score, and that household wealth did not modify the associations between distance to markets and child dietary diversity score. These findings suggest that improving access to food markets alone might not lead to meaningful improvement in child diet. Detailed surveys on household food acquisition are needed to clarify the role of food markets relative to other food sources such as subsistence fisheries, subsistence gardening and mobile food traders.
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Affiliation(s)
- Cam Duong
- Doctoral Program in Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, Georgia, United States of America
| | - Shivani Patel
- Hubert Department of Global Health, Emory University, Atlanta, Georgia, United States of America
| | - Hung Nguyen-Viet
- Animal and Human Health Program, International Livestock Research Institute, Nairobi, Kenya
| | - Rortana Chea
- National Animal Health and Production Research Institute, General Directorate of Animal Health and Production, Phnom Penh, Cambodia
| | - Sinh Dang
- Animal and Human Health Program, International Livestock Research Institute, Hanoi, Vietnam
| | - Sothyra Tum
- National Animal Health and Production Research Institute, General Directorate of Animal Health and Production, Phnom Penh, Cambodia
| | - Usha Ramakrishnan
- Hubert Department of Global Health, Emory University, Atlanta, Georgia, United States of America
| | - Melissa F. Young
- Hubert Department of Global Health, Emory University, Atlanta, Georgia, United States of America
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Phua DY, Chen H, Yap F, Chong YS, Gluckman PD, Broekman BFP, Eriksson JG, Meaney MJ. Allostatic load in children: The cost of empathic concern. Proc Natl Acad Sci U S A 2023; 120:e2217769120. [PMID: 37725642 PMCID: PMC10523447 DOI: 10.1073/pnas.2217769120] [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: 10/18/2022] [Accepted: 07/26/2023] [Indexed: 09/21/2023] Open
Abstract
Early-life adversity affects long-term health outcomes but there is considerable interindividual variability in susceptibility to environmental influences. We proposed that positive psychological characteristics that reflect engagement with context, such as being concerned about people or performance on tasks (i.e., empathic concern), could moderate the interindividual variation in sensitivity to the quality of the early environment. We studied 526 children of various Asian nationalities in Singapore (46.6% female, 13.4% below the poverty line) with longitudinal data on perinatal and childhood experiences, maternal report on empathic concern of the child, and a comprehensive set of physiological measures reflecting pediatric allostatic load assessed at 6 y of age. The perinatal and childhood experiences included adversities and positive experiences. We found that cumulative adverse childhood experience was positively associated with allostatic load of children at 6 y of age at higher levels of empathic concern but not significantly associated at lower levels of empathic concern. This finding reveals evidence for the importance of empathic concern as a psychological characteristic that moderates the developmental impact of environmental influences, serving as a source for vulnerability to adversities in children.
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Affiliation(s)
- Desiree Y. Phua
- Translational Neuroscience Programme, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore117609, Republic of Singapore
| | - Helen Chen
- Department of Psychological Medicine, Kandang Kerbau Women’s and Children’s Hospital, Singapore229899, Republic of Singapore
- Paediatric Medicine Academic Clinical Programme, Duke-National University of Singapore, Singapore169857, Republic of Singapore
| | - Fabian Yap
- Department of Psychological Medicine, Kandang Kerbau Women’s and Children’s Hospital, Singapore229899, Republic of Singapore
- Department of Paediatric Medicine, Kandang Kerbay Women’s and Children’s Hospital, 100 Bukit Timah Road, Singapore229899, Republic of Singapore
| | - Yap Seng Chong
- Translational Neuroscience Programme, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore117609, Republic of Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme and O&G Department, National University of Singapore, Singapore117597, Singapore
| | - Peter D. Gluckman
- Translational Neuroscience Programme, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore117609, Republic of Singapore
- Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland1023, New Zealand
- Public Health Research Program, Folkhalsan Research Center, Helsinki00250, Finland
| | - Birit F. P. Broekman
- Department of Psychiatry, Amsterdam University Medical Centers (UMC) and Onze Lieve Vrouwe Gasthuis (OLVG), Vrije Universiteit (VU), Amsterdam1081 HV, The Netherlands
| | - Johan G. Eriksson
- Translational Neuroscience Programme, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore117609, Republic of Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme and O&G Department, National University of Singapore, Singapore117597, Singapore
- Public Health Research Program, Folkhalsan Research Center, Helsinki00250, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki00100, Finland
| | - Michael J. Meaney
- Translational Neuroscience Programme, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore117609, Republic of Singapore
- Yong Loo Lin School of Medicine, Human Potential Translational Research Programme and O&G Department, National University of Singapore, Singapore117597, Singapore
- Brain-Body Initiative, Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore117597, Republic of Singapore
- Sackler Program for Epigenetics and Psychobiology at McGill University, MontrealQCH3A 0G4, Canada
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, MontrealQCH3A 0G4, Canada
- Brain-Body Initiative, Agency for Science, Technology and Research (A*STAR), Singapore138632, Republic of Singapore
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Jensen SS. The timing of parental unemployment and children's academic achievement. ADVANCES IN LIFE COURSE RESEARCH 2023; 57:100557. [PMID: 38054858 DOI: 10.1016/j.alcr.2023.100557] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 05/25/2023] [Accepted: 06/01/2023] [Indexed: 12/07/2023]
Abstract
In this study, I investigate the potential impact of parental unemployment on the academic achievement of children, with a particular focus on the child's age at the time of parental unemployment. While previous research has concentrated on isolated occurrences of unemployment, my study expands on this literature by examining the complete employment history of the parent over the child's life course and exploring how the effects of unemployment may vary based on similar past experiences. To achieve this, I combine population-wide data from the Danish administrative register with the results of mandatory Danish language tests administered in public schools since 2010 to determine whether parental unemployment affects academic performance at ages nine and fifteen. Using inverse probability treatment weighting of marginal structural models, I account for non-random unemployment occurrences and time-variant confounders that may partially mediate the effects of unemployment. My findings demonstrate that parental unemployment can have both persistent and immediate negative effects on children's academic achievement. Although no age period clearly emerges as especially sensitive to the impact of unemployment, the proximity of the unemployment event to the outcome measurement consistently results in a small negative effect on academic achievement. Additionally, the timing of unemployment appears to affect children's academic performance differently based on whether the mother or father experienced unemployment.
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Affiliation(s)
- Simon Skovgaard Jensen
- Aarhus University, Danish School of Education, Jens Chr. Skous Vej 4, 8000 Aarhus C, Denmark.
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Zhao S, Zhang Y, Xiao AY, He Q, Tang K. Key factors associated with quality of postnatal care: a pooled analysis of 23 countries. EClinicalMedicine 2023; 62:102090. [PMID: 37533417 PMCID: PMC10393561 DOI: 10.1016/j.eclinm.2023.102090] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 06/18/2023] [Accepted: 06/25/2023] [Indexed: 08/04/2023] Open
Abstract
Background Progress in reducing maternal and neonatal mortality, particularly in low-income and middle-income countries (LMICs) and regions, is insufficient to achieve the Sustainable Developmental Goals by 2030. High-quality postnatal care (PNC) for mothers and neonates is crucial for mothers and babies, yet it remains the most neglected intervention on the continuum of maternal and child care. We aimed to estimate the associations between observable factors and high-quality maternal and neonatal PNC in pooled and country-specific analyses. Methods In this cross-sectional study, we used the most recent (2015-2022) Demographic and Health Surveys from 23 countries across Africa (n = 14), Southeast Asia (n = 3), Eastern Mediterranean (n = 2), Europe (n = 2), Americas (n = 1), and Western Pacific (n = 1). Women who, within the last 5 years, were aged 15-49 years at their last live birth that had delivered a singleton child were included. We identified eleven PNC behaviours recommended by the World Health Organization (WHO) to measure PNC quality, and applied thresholds to create binary outcomes for quality maternal and neonatal PNC. 15 factors were included in our analysis to assess their association with high-quality PNC for mothers and neonates in a series of single-adjusted and mutually adjusted logistic regression models, both in pooled and country-specific analysis. We also conducted two sets of subgroup analyses for place of residence and maternal age at last birth, and two sets of supplementary analyses to test the robustness of the results. Findings Among 172,526 women and their most recent child, 41.42% (40.93-41.91) received quality maternal PNC while 42.34% (41.86-42.83) received quality neonatal PNC. In the pooled analysis, we found that the factors showing the strongest associations with quality maternal PNC were delivery by skilled birth attendants (SBAs) (OR: 4.92; 95% CI: 4.32-5.59), four or more antenatal care (ANC) visits (OR: 1.69, 1.58-1.81), and institutional delivery (OR: 1.61; 1.46-1.78). Consistent results were found for all factors of quality newborn care (e.g., delivery by SBA: OR, 4.25; 3.75-4.81; four or more ANC visits: OR, 1.83; 1.70-1.96) except institutional delivery. The association between these leading factors and PNC quality were broadly consistent across countries. Subgroup analyses and sensitivity analyses showed generally consistent results. Interpretation Our study demonstrated that institutional delivery and frequent ANC visits had the strongest positive associations with quality PNC for both mothers and neonates. Our findings highlight that improvements to the quality of maternal and neonatal PNC in the LMICs we assessed are urgently needed to achieve ambitious maternal, newborn, and child health goals. Funding China National Natural Science Foundation.
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Affiliation(s)
- Shuangyu Zhao
- Vanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, 100084, PR China
| | - Yixuan Zhang
- Vanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, 100084, PR China
- School of Traffic and Transportation, Beijing Jiaotong University, No.3, Shangyuan Village, Haidian District, Beijing, 100044, PR China
| | - Angela Y. Xiao
- Vanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, 100084, PR China
| | - Qiwei He
- Vanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, 100084, PR China
- Institute of International Development Cooperation, Chinese Academy of International Trade and Economic Cooperation, Beijing, 100710, PR China
| | - Kun Tang
- Vanke School of Public Health, Tsinghua University, No. 30, Shuangqing Road, Haidian District, Beijing, 100084, PR China
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Kim T. The impact of working hours on pregnancy intention in childbearing-age women in Korea, the country with the world's lowest fertility rate. PLoS One 2023; 18:e0288697. [PMID: 37467184 DOI: 10.1371/journal.pone.0288697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 07/03/2023] [Indexed: 07/21/2023] Open
Abstract
This study aimed to assess factors affecting pregnancy intention among women of reproductive age in Korea. We analyzed data from the Korean National Health and Nutrition Examination Survey (KNHANES), a population-based survey that included 22,731 women aged 15-49. As age was associated with birth year and was found to be a confounding factor in the analysis of participants' characteristics, we used propensity score matching to assess the characteristics of pregnant women compared with non-pregnant women of the same age and birth year. We also employed the XGBoost machine learning model to identify the most important factors related to pregnancy intentions. Our feature importance analysis showed that weekly working hours were the most significant factor affecting pregnancy intentions. Additionally, we performed cluster analysis and logistic regression models to determine optimal weekly working hours. Cluster analysis identified participants into three distinct groups based on their characteristics, indicating that the group with an average of 34.4±12.9 hours per week had the highest likelihood of becoming pregnant. Logistic regression was used to analyze the odds of pregnancy for every 5-hour increase in weekly working hours. The results of logistic regression indicated that women who worked between 35-45 hours per week had higher odds of pregnancy, with significant odds ratios of 2.009 (95% confidence interval: 1.581-2.547, p < .001) for 40-45 hours per week and 1.450 (95% confidence interval: 1.001-2.040, p < .05) for 35-40 hours per week, compared to women working other hours. In Korea, the standard workweek is typically 40 hours; however, Koreans often work considerably longer hours, with the second-highest number of working hours among OECD countries in 2022. This study suggests that strict monitoring of working hours and expansion of telecommuting for childbearing-age women are important factors in increasing the fertility rate in Korea.
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Affiliation(s)
- Taewook Kim
- Presidential Committee on Aging Society and Population Study, Seoul Government Complex, Seoul, Republic of Korea
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Seidu AA, Hagan Jnr JE, Budu E, Aboagye RG, Okyere J, Sakyi B, Adu C, Ahinkorah BO. High-risk fertility behaviour and undernutrition among children under-five in sub-Saharan Africa: a cross-sectional study. BMJ Open 2023; 13:e066543. [PMID: 37369407 PMCID: PMC10410834 DOI: 10.1136/bmjopen-2022-066543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 03/09/2023] [Indexed: 06/29/2023] Open
Abstract
OBJECTIVE The study examined high-risk fertility behaviour and its association with under-five undernutrition in sub-Saharan Africa (SSA). DESIGN We conducted a cross-sectional analysis of data from 32 sub-Saharan African countries' Demographic and Health Surveys. A weighted sample of 110 522 mother-child pairs was included in final analysis. Multilevel binary logistic regression was used to examine the association between high-risk fertility behaviour and undernutrition. The results were presented using adjusted odds ratio (aOR) with their respective 95% confidence intervals (CIs). SETTING Thirty-two countries in SSA. OUTCOME MEASURE Stunting, wasting, and underweight. RESULTS The pooled prevalence of stunting was 31.3%, ranging from 15.0% in Gabon to 51.7% in Burundi. Wasting was highest among children from Burkina Faso (19.1%) and lowest among those from South Africa (1.6%). The overall prevalence of wasting was 8.1%. The prevalence of underweight was 17.0%, with the highest among children in Niger (37.1%) and lowest in South Africa (4.8%). Mothers who gave birth at the age less than 18 years and those with short birth interval were more likely to have their children being stunted, wasted, and underweight. The odds of stunting and wasting were high among children born to women with high parity. However, maternal age at birth more than 34 was associated with lower odds of childhood underweight as against those with age at birth less than 34. CONCLUSION Countries in SSA are encouraged to address the issue of maternal age at birth less than 18, high parity, and shorter birth intervals in order to meet the Global Nutrition targets, which aim to achieve a 40% reduction in the number of stunted children under the age of 5 and to reduce and maintain childhood wasting to less than 5% by 2025.
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Affiliation(s)
- Abdul-Aziz Seidu
- Centre for Gender and Advocacy, Takoradi Technical University, Takoradi, Ghana
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia
| | - John Elvis Hagan Jnr
- Department of Health, Physical Education, and Recreation, University of Cape Coast, Cape Coast, Ghana
- Neurocognition and Action-Biomechanics-Research Group, Faculty of Psychology and Sport Sciences, Bielefeld University, Bielefeld, Germany
| | | | - Richard Gyan Aboagye
- Department of Family and Community Health, Fred N. Binka School of Public Health, University of Health and Allied Sciences, Ho, Ghana
| | - Joshua Okyere
- Department of Population and Health, University of Cape Coast, Cape Coast, Ghana
- Department of Nursing, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Barbara Sakyi
- Department of Population and Health, University of Cape Coast, Cape Coast, Ghana
| | - Collins Adu
- Department of Health Promotion, Education and Disability Studies, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- Center for Social Research in Health, University of New South Wales, Sydney, Sydney, New South Wales, Australia
| | - Bright Opoku Ahinkorah
- School of Public Health, Faculty of Health, University of Technology Sydney, Broadway, New South Wales, Australia
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Kusheta S, Demelash R, Kenea E, Kasa G, Ermako W, Daniel D. Burden of maternal high-risk fertility behaviour on under-five children's health status in Hadiya zone, Southern Ethiopia: a facility-based cross-sectional study. BMJ Open 2023; 13:e072551. [PMID: 37328177 PMCID: PMC10277031 DOI: 10.1136/bmjopen-2023-072551] [Citation(s) in RCA: 1] [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: 02/12/2023] [Accepted: 06/02/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND Maternal high-risk fertility behaviours (HRFBs) are common in African countries and can potentially affect child survival. Evidence of the burden of maternal HRFB on under-five children is scant in Ethiopia. OBJECTIVE To determine the burden of maternal HRFB on under-five children's health status in Hadiya zone, Southern Ethiopia. DESIGN A facility-based cross-sectional study was conducted. SETTING All secondary and tertiary public healthcare centres; that are, one referral and three district hospitals providing comprehensive emergency obstetric care services in the Hadiya zone, Southern Ethiopia. PARTICIPANTS Three hundred women of reproductive age (15-49 years) who had undergone childbirth in the 5 years preceding this study and living with at least one child younger than 5 years admitted to public hospitals in Hadiya zone were included. MAIN OUTCOME MEASURE Under-five children's health status. RESULTS The overall proportion of maternal HRFB among currently married women was 60.3%, with 35.0% falling into a single high-risk category and 25.3% falling into multiple high-risk categories. Children younger than 5 years born to mothers having HRFB had an increased chance of acute respiratory infections five times, diarrhoea six times, fever eight times, low birth weight six times and a chance of dying before the fifth birthday two times than children born to mothers with no risk. The risks of morbidity and mortality further increased when children were born to mothers falling into multiple high-risk categories. CONCLUSIONS The overall proportion of maternal HRFB among currently married women was high in the study area. A statistically significant association was seen between maternal HRFB and health outcomes of children younger than 5 years old. Intervening to avert maternal HRFBs through family planning may help to reduce childhood morbidity and mortality.
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Affiliation(s)
- Samuel Kusheta
- Department of Public Health, Hossana College of Health Sciences, Hossana, Ethiopia
| | - Robel Demelash
- Department of Public Health, Hossana College of Health Sciences, Hossana, Ethiopia
| | - Elias Kenea
- Department of Emergency Medical Technology, Hossana College of Health Sciences, Hossana, Ethiopia
| | - Genet Kasa
- Department of Reproductive Health, Werabe University, Worabe, Ethiopia
| | - Woineshet Ermako
- Department of Public Health, Hossana College of Health Sciences, Hossana, Ethiopia
| | - Dinku Daniel
- Department of Nursing, Hossana College of Health Sciences, Hossana, Ethiopia
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49
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Muindi K, Iddi S, Gitau H, Mberu B. Housing and health outcomes: evidence on child morbidities from six Sub-Saharan African countries. BMC Pediatr 2023; 23:219. [PMID: 37147616 PMCID: PMC10163804 DOI: 10.1186/s12887-023-03992-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 04/05/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND The connection between healthy housing status and health is well established. The quality of housing plays a significant role in infectious and non-communicable as well as vector-borne diseases. The global burden of disease attributable to housing is considerable with millions of deaths arising from diarrheal and respiratory diseases annually. In sub-Saharan Africa (SSA), the quality of housing remains poor although improvements have been documented. There is a general dearth of comparative analysis across several countries in the sub-region. We assess in this study, the association between healthy housing and child morbidity across six countries in SSA. METHODS We use the Demographic and Health Survey (DHS) data for six countries where the most recent survey collected health outcome data on child diarrhoea, acute respiratory illness, and fever. The total sample size of 91,096 is used in the analysis (representing 15, 044 for Burkina Faso, 11, 732 for Cameroon, 5, 884 for Ghana, 20, 964 for Kenya, 33, 924 for Nigeria, and 3,548 for South Africa). The key exposure variable is healthy housing status. We control for various factors associated with the three childhood health outcomes. These include quality housing status, residency (rural/urban), age of the head of the household, mother's education, mother's BMI status, marital status, mother's age, and religious status. Others include the child's gender, age, whether the child is from multiple or single births, and breastfeeding status. Inferential analysis using survey-weighted logistic regression is employed. RESULTS Our findings indicate that housing is an important determinant of the three outcomes investigated. Compared to unhealthier housing, healthy housing status was found to be associated with reduced odds of diarrhoea in Cameroon [Healthiest: aOR = 0.48, 95% CI, (0.32,0.71), healthier: aOR = 0.50, 95% CI,(0.35,0.70), Healthy: aOR = 0.60, 95% CI, (0.44,0.83), Unhealthy: aOR = 0.60, 95% CI, (0.44,0.81)], Kenya [Healthiest: aOR = 0.68, 95% CI, (0.52,0.87), Healtheir: aOR = 0.79, 95% CI, (0.63,0.98), Healthy: aOR = 0.76, 95% CI, (0.62,0.91)], South Africa[Healthy: aOR = 0.41, 95% CI, (0.18, 0.97)], and Nigeria [Healthiest: aOR = 0.48, 95% CI,(0.37,0.62), Healthier: aOR = 0.61, 95% CI,(0.50,0.74), Healthy: aOR = 0.71, 95%CI, (0.59,0.86), Unhealthy: aOR = 0.78, 95% CI, (0.67,0.91)], and reduced odds of Acute Respiratory Infection in Cameroon [Healthy: aOR = 0.72, 95% CI,(0.54,0.96)], Kenya [Healthiest: aOR = 0.66, 95% CI, (0.54,0.81), Healthier: aOR = 0.81, 95% CI, (0.69,0.95)], and Nigeria [Healthiest: aOR = 0.69, 95% CI, (0.56,0.85), Healthier: aOR = 0.72, 95% CI, (0.60,0.87), Healthy: aOR = 0.78, 95% CI, (0.66,0.92), Unhealthy: aOR = 0.80, 95% CI, (0.69,0.93)] while it was associated with increased odds in Burkina Faso [Healthiest: aOR = 2.45, 95% CI, (1.39,4.34), Healthy: aOR = 1.55, 95% CI, (1.09,2.20)] and South Africa [Healthy: aOR = 2.36 95% CI, (1.31, 4.25)]. In addition, healthy housing was significantly associated with reduced odds of fever among children in all countries except South Africa [Healthiest: aOR = 2.09, 95% CI, (1.02, 4.29)] where children living in the healthiest homes had more than double the odds of having fever. In addition, household-level factors such as the age of the household head, and place of residence were associated with the outcomes. Child-level factors such as breastfeeding status, age, and sex, and maternal-level factors such as education, age, marital status, body mass index (BMI), and religion were also associated with the outcomes. CONCLUSIONS The dissimilarity of findings across similar covariates and the multiple relations between healthy housing and under 5 morbidity patterns show unequivocally the heterogeneity that exists across African countries and the need to account for different contexts in efforts to seek an understanding of the role of healthy housing in child morbidity and general health outcomes.
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Affiliation(s)
- Kanyiva Muindi
- Population Dynamics and Urbanization, African Population and Health Research Center, Nairobi, Kenya.
| | - Samuel Iddi
- Population Dynamics and Urbanization, African Population and Health Research Center, Nairobi, Kenya.
- Department of Statistics and Actuarial Science, University of Ghana, Legon, Accra, Ghana.
| | - Hellen Gitau
- Population Dynamics and Urbanization, African Population and Health Research Center, Nairobi, Kenya
| | - Blessing Mberu
- Population Dynamics and Urbanization, African Population and Health Research Center, Nairobi, Kenya
- Demography and Population Studies, University of Witwatersrand, Johannesburg, South Africa
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50
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Golob JL, Oskotsky TT, Tang AS, Roldan A, Chung V, Ha CWY, Wong RJ, Flynn KJ, Parraga-Leo A, Wibrand C, Minot SS, Andreoletti G, Kosti I, Bletz J, Nelson A, Gao J, Wei Z, Chen G, Tang ZZ, Novielli P, Romano D, Pantaleo E, Amoroso N, Monaco A, Vacca M, De Angelis M, Bellotti R, Tangaro S, Kuntzleman A, Bigcraft I, Techtmann S, Bae D, Kim E, Jeon J, Joe S, Theis KR, Ng S, Lee Li YS, Diaz-Gimeno P, Bennett PR, MacIntyre DA, Stolovitzky G, Lynch SV, Albrecht J, Gomez-Lopez N, Romero R, Stevenson DK, Aghaeepour N, Tarca AL, Costello JC, Sirota M. Microbiome Preterm Birth DREAM Challenge: Crowdsourcing Machine Learning Approaches to Advance Preterm Birth Research. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.07.23286920. [PMID: 36945505 PMCID: PMC10029035 DOI: 10.1101/2023.03.07.23286920] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Globally, every year about 11% of infants are born preterm, defined as a birth prior to 37 weeks of gestation, with significant and lingering health consequences. Multiple studies have related the vaginal microbiome to preterm birth. We present a crowdsourcing approach to predict: (a) preterm or (b) early preterm birth from 9 publicly available vaginal microbiome studies representing 3,578 samples from 1,268 pregnant individuals, aggregated from raw sequences via an open-source tool, MaLiAmPi. We validated the crowdsourced models on novel datasets representing 331 samples from 148 pregnant individuals. From 318 DREAM challenge participants we received 148 and 121 submissions for our two separate prediction sub-challenges with top-ranking submissions achieving bootstrapped AUROC scores of 0.69 and 0.87, respectively. Alpha diversity, VALENCIA community state types, and composition (via phylotype relative abundance) were important features in the top performing models, most of which were tree based methods. This work serves as the foundation for subsequent efforts to translate predictive tests into clinical practice, and to better understand and prevent preterm birth.
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Affiliation(s)
- Jonathan L Golob
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
| | - Tomiko T Oskotsky
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
| | - Alice S Tang
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
| | - Alennie Roldan
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
| | | | - Connie W Y Ha
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
| | - Ronald J Wong
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
| | | | - Antonio Parraga-Leo
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
| | - Camilla Wibrand
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
| | - Samuel S Minot
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
| | - Gaia Andreoletti
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
| | - Idit Kosti
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
| | | | | | - Jifan Gao
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Zhoujingpeng Wei
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Guanhua Chen
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Zheng-Zheng Tang
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Pierfrancesco Novielli
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Donato Romano
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Ester Pantaleo
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
| | - Nicola Amoroso
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
| | - Alfonso Monaco
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Mirco Vacca
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Maria De Angelis
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Roberto Bellotti
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Sabina Tangaro
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Abigail Kuntzleman
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
| | - Isaac Bigcraft
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Stephen Techtmann
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Daehun Bae
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
| | - Eunyoung Kim
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | | | - Soobok Joe
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Kevin R Theis
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
| | - Sherrianne Ng
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
| | - Yun S Lee Li
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Patricia Diaz-Gimeno
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Phillip R Bennett
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - David A MacIntyre
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Gustavo Stolovitzky
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Susan V Lynch
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
| | | | - Nardhy Gomez-Lopez
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Roberto Romero
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - David K Stevenson
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
| | - Nima Aghaeepour
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
| | - Adi L Tarca
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - James C Costello
- Division of Infectious Disease. Department of Internal Medicine. University of Michigan. Ann Arbor, MI. USA
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
- Sage Bionetworks, Seattle, WA. USA
- Benioff Center for Microbiome Medicine, Department of Medicine, University of California, San Francisco, CA. USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA. USA
- March of Dimes Prematurity Research Center at Stanford University, Stanford, CA USA
- Data Core, Shared Resources, Fred Hutchinson Cancer Center. Seattle, WA. USA
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI. USA
| | - Marina Sirota
- March of Dimes Prematurity Research Center at the University of California San Francisco, San Francisco, CA USA
- Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA. USA
- Department of Pediatrics. University of California San Francisco, San Francisco, CA. USA
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