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Pantoja-Gómez OC, Realpe S, Cabra-Bautista G, Restrepo JM, Prado OL, Velasco AM, Martínez GE, Leal S, Vallejo A, Calvache JA. Clinical course of neonatal acute kidney injury: multi-center prospective cohort study. BMC Pediatr 2022; 22:136. [PMID: 35287608 PMCID: PMC8920800 DOI: 10.1186/s12887-022-03200-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 02/24/2022] [Indexed: 11/14/2022] Open
Abstract
Background Neonatal acute kidney injury (AKI) has been associated with unfavorable outcomes, including increased mortality. We aimed to describe the clinical course and outcomes during the first 7 days after diagnosis in newborns with AKI in three neonatal intensive care units in Popayán-Colombia. Methods Multi-center prospective cohort study conducted between June 2019 and December 2020 in three NICUs after ethical approval. We included newborns between 2 and 28 days of life, first diagnosed with AKI using the KDIGO classification modified for newborns which consider increased serum creatinine values over baseline values as well as urine output over time in hours or both. Patients with chromosomal abnormalities, major kidney malformations, and complex congenital heart disease were excluded. Patients were followed for up to 7 days after diagnosis and the maximum KDIGO stage, recovery of kidney function, need for renal replacement therapy and cumulative incidence of death were evaluated. Results Over the 18 months of the study, 4132 newborns were admitted to the NICUs, and 93 patients (2.25, 95% CI 1.82–2.75%) developed neonatal AKI. 59.1% of the newborns were premature and there were no differences in severity according to gestational age. During follow-up, the maximum KDIGO was 64.5% for AKI-stage 1, 11.8% for AKI-stage 2, and 23.7% for AKI-stage 3. Kidney function recovery was higher in AKI-stage 1 patients vs. AKI-severe (AKI-stage 2 and 3) (95% vs. 48.5%). Five patients (5.4%) received renal replacement therapy and 15 died (16.1%), four in AKI-stage 1 vs. 11 in AKI-severe (6.7% vs 33.3%). Conclusions Newborns admitted to the NICUs can develop AKI regardless of gestational age, and it is more frequent between the second and ninth days of life. More patients whit AKI-stage 1 recover and die less than those in a severe stage.
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Affiliation(s)
- O C Pantoja-Gómez
- Departamento de Pediatría, Universidad del Cauca, Popayán, Colombia.
| | - S Realpe
- Departamento de Pediatría, Universidad del Cauca, Popayán, Colombia
| | - Ginna Cabra-Bautista
- Departamento de Pediatría, Universidad del Cauca, Popayán, Colombia.,Hospital Susana López de Valencia, Popayán, Colombia
| | - J M Restrepo
- Servicio de Nefrología Pediátrica, Fundación Valle del Lili, Cali, Colombia
| | - O L Prado
- Departamento de Pediatría, Universidad del Cauca, Popayán, Colombia.,Hospital Susana López de Valencia, Popayán, Colombia
| | - A M Velasco
- Departamento de Pediatría, Universidad del Cauca, Popayán, Colombia.,Hospital Susana López de Valencia, Popayán, Colombia
| | - G E Martínez
- Departamento de Pediatría, Universidad del Cauca, Popayán, Colombia.,Hospital Universitario San Jose, Popayán, Colombia
| | - S Leal
- Hospital Susana López de Valencia, Popayán, Colombia
| | - A Vallejo
- Hospital Universitario San Jose, Popayán, Colombia
| | - Jose Andrés Calvache
- Departamento de Anestesiología, Universidad del Cauca, Popayán, Colombia.,Department of Anesthesiology, Erasmus University Medical Center, Rotterdam, The Netherlands
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Laforest ME, Ward S, Landry LA, Mobetty F. The Relationship Between Paternal Preconception Obesity and Health Behaviors and Childhood Obesity: Protocol for a Systematic Review. JMIR Res Protoc 2021; 10:e31254. [PMID: 34860672 PMCID: PMC8686461 DOI: 10.2196/31254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 10/22/2021] [Accepted: 10/25/2021] [Indexed: 11/13/2022] Open
Abstract
Background Childhood obesity is a global public health concern and is a priority for researchers and policy makers. To overcome the epidemic of obesity, influencing factors throughout the life span need to be addressed, including those in the preconception period. A better understanding of the association between paternal preconception factors and childhood obesity is important for public health interventions. Objective This systematic review will examine the relationship between paternal preconception obesity and health behaviors and their offspring’s overweight or obesity. Methods Peer-reviewed quantitative studies and grey literature that report associations between paternal preconception obesity and health behaviors—such as smoking, exercise, and eating habits—and childhood overweight and obesity will be identified through a computerized literature search in 7 databases. The quality of each study will be assessed using the Quality Assessment Tool for Quantitative Studies. Characteristics of the included studies will be reported, and relevant findings from each paternal preconception exposure will be narratively synthesized. This review will follow the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) 2020 guidelines. Results This systematic review is anticipated to begin in December 2021 and be completed by the end of August 2022. Conclusions This systematic review will contribute to a better understanding of the relationship between preconception paternal exposures and their offspring’s overweight or obesity. Findings will help support health professionals working with prospective parents to educate fathers on the benefits of improving their weight and health behaviors during the preconception period. International Registered Report Identifier (IRRID) PRR1-10.2196/31254
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Affiliation(s)
- Marie-Eve Laforest
- École de Science Infirmière, Faculté des Sciences de la Santé et des Services Communautaires, Université de Moncton, Moncton, NB, Canada
| | - Stephanie Ward
- École des Sciences des Aliments, de Nutrition et d'Etudes Familiales, Faculté des Sciences de la Santé et des Services Communautaires, Université de Moncton, Moncton, NB, Canada
| | - Liette-Andrée Landry
- École de Science Infirmière, Faculté des Sciences de la Santé et des Services Communautaires, Université de Moncton, Campus de Shippagan, Shippagan, NB, Canada
| | - Fabrice Mobetty
- Département de Nutrition, Faculté de Médecine, Université de Montréal, Montreal, QC, Canada
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Effect of Grandmaternal Smoking on Body Size and Proportions at Birth. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18094985. [PMID: 34067158 PMCID: PMC8124860 DOI: 10.3390/ijerph18094985] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 05/04/2021] [Accepted: 05/05/2021] [Indexed: 11/16/2022]
Abstract
Many long-term adverse effects of smoking during pregnancy are known. Increasingly, adverse effects in the grandchild after grandmaternal smoking during pregnancy are reported. We explored this in a birth cohort of 24,000 grandmother–mother–child triads identified from the Finnish Medical Birth Register in 1991–2016. Multiple logistic regression was used to analyze the association between any smoking during pregnancy by both grandmother and mother, or only grandmother or mother on adverse birth outcomes. No smoking by neither grandmother nor mother was used as the reference. As endpoints, preterm birth, low birth weight, small for gestational age (birth weight, birth length, head circumference), and body proportionality (low ponderal index, high brain-to-body ratio, high head-to-length ratio) were included. Smoking by both grandmother and mother was consistently associated with higher risks than smoking only by the mother. Birth length and weight were especially sensitive to (grand)maternal smoking. In conclusion, the combined effect of grandmaternal and maternal smoking is associated with higher risks than only maternal smoking.
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4
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Cerf ME. Healthy lifestyles and noncommunicable diseases: Nutrition, the life‐course, and health promotion. LIFESTYLE MEDICINE 2021. [DOI: 10.1002/lim2.31] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Marlon E. Cerf
- Grants, Innovation and Product Development South African Medical Research Council Cape Town South Africa
- Biomedical Research and Innovation Platform South African Medical Research Council Cape Town South Africa
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5
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Eberle C, Kirchner MF, Herden R, Stichling S. Paternal metabolic and cardiovascular programming of their offspring: A systematic scoping review. PLoS One 2020; 15:e0244826. [PMID: 33382823 PMCID: PMC7775047 DOI: 10.1371/journal.pone.0244826] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 12/16/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND There is lots of evidence that maternal peri-gestational metabolic, genomic and environmental conditions are closely linked to metabolic and cardiovascular outcomes in their offspring later in life. Moreover, there is also lotsof evidence that underlining mechanisms, such as molecular as well as epigenetic changes may alter the intrauterine environment leading to cardio-metabolic diseases in their offspring postnatal. But, there is also increasing evidence that cardio-metabolic diseases may be closely linked to their paternal metabolic risk factors, such as obesity, Type 2 Diabetes and other risk factors. OBJECTIVE To analyse the evidence as well as specific risk factors of paternal trans-generational programming of cardio-metabolic diseases in their offspring. METHODS Within a systematic scoping review, we performed a literature search in MEDLINE (PubMed) and EMBASE databases in August 2020 considering original research articles (2000-2020) that examined the impact of paternal programming on metabolic and cardiovascular offspring health. Epidemiological, clinical and experimental studies as well as human and animal model studies were included. RESULTS From n = 3.199 citations, n = 66 eligible studies were included. We selected n = 45 epidemiological as well as clinical studies and n = 21 experimental studies. In brief, pre-conceptional paternal risk factors, such as obesity, own birth weight, high-fat and low-protein diet, undernutrition, diabetes mellitus, hyperglycaemia, advanced age, smoking as well as environmental chemical exposure affect clearly metabolic and cardiovascular health of their offspring later in life. CONCLUSIONS There is emerging evidence that paternal risk factors, such as paternal obesity, diabetes mellitus, nutritional habits, advanced age and exposure to environmental chemicals or cigarette smoke, are clearly associated with adverse effects in metabolic and cardiovascular health in their offspring. Compared to maternal programming, pre-conceptional paternal factors might also have also a substantial effect in the sense of trans-generational programming of their offspring and need further research.
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Affiliation(s)
- Claudia Eberle
- Medicine with Specialization in Internal Medicine and General Medicine, Hochschule Fulda–University of Applied Sciences, Fulda, Germany
- * E-mail:
| | - Michaela F. Kirchner
- Medicine with Specialization in Internal Medicine and General Medicine, Hochschule Fulda–University of Applied Sciences, Fulda, Germany
| | - Raphaela Herden
- Medicine with Specialization in Internal Medicine and General Medicine, Hochschule Fulda–University of Applied Sciences, Fulda, Germany
| | - Stefanie Stichling
- Medicine with Specialization in Internal Medicine and General Medicine, Hochschule Fulda–University of Applied Sciences, Fulda, Germany
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Grand-maternal lifestyle during pregnancy and body mass index in adolescence and young adulthood: an intergenerational cohort study. Sci Rep 2020; 10:14432. [PMID: 32879408 PMCID: PMC7468235 DOI: 10.1038/s41598-020-71461-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Accepted: 08/14/2020] [Indexed: 12/26/2022] Open
Abstract
To examine associations of healthy lifestyle during pregnancy with body mass index (BMI) and risk of overweight or obesity of grandchildren during adolescence and young adulthood. Our study population included 14,001 grandmother–mother–child triads comprised of participants of two ongoing prospective cohort studies of related individuals. We used self-reported grand-maternal gestational weight gain, diet, physical activity, and smoking during pregnancy to create a lifestyle score ranged from 0 to 12, with a higher score indicating healthier lifestyle. Grandchild BMI was self-assessed in follow-up questionnaires. Compared with individuals whose grandmothers had the least healthy lifestyle during pregnancy, individuals whose grandmothers had the most healthy lifestyle had 0.17 (95% CI 0.01, 0.33; P for trend = 0.05) kg/m2 lower BMI and 7% (95% CI 2%, 12%; P for trend = 0.001) lower risk of overweight or obesity during adolescence and young adulthood. The inverse associations between grand-maternal lifestyle and BMI in grandchildren were mainly mediated by maternal pre-pregnancy BMI (mediation effect: 64%; P value = 0.001). Overall, maternal BMI, along with maternal socioeconomic status and lifestyle factors in the second and third generations accounted for all of the inter-generational association (mediation effect: 99%; P value < 0.001). The inverse associations of grand-maternal lifestyle with BMI of offspring were not modified by grand-maternal pre-pregnancy BMI, grandchild age, or grandchild gender. Grandchildren of women who had the healthiest lifestyles during pregnancy defined by no excess gestational weight gain, no smoking, a healthy diet and being physically active, were less likely to be overweight or obese in adolescence and early adulthood.
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Brown MM, Woolcott CG, Dodds L, Ashley-Martin J, Allen VM, Fahey J, Kuhle S. The 3G Multigenerational Cohort of Nova Scotian women and their mothers and offspring. Paediatr Perinat Epidemiol 2020; 34:214-221. [PMID: 32003903 DOI: 10.1111/ppe.12647] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 11/27/2019] [Accepted: 12/22/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND The negative impact of exposures such as maternal obesity, excessive gestational weight gain, and hypertension in pregnancy on the health of the next generation has been well studied. Evidence from animal studies suggests that the effects of in utero exposures may persist into the second generation, but the epidemiological literature on the influence of pregnancy-related exposures across three generations in humans is sparse. OBJECTIVES This cohort was established to investigate associations between antenatal and perinatal exposures and health outcomes in women and their offspring. POPULATION The cohort includes women who were born and subsequently had their own pregnancies in the Canadian province of Nova Scotia from 1980 onward. DESIGN Intergenerational linkage of data in the Nova Scotia Atlee Perinatal Database was used to establish a population-based dynamic retrospective cohort. METHODS The cohort has prospectively collected information on sociodemographics, maternal health and health behaviours, pregnancy health and complications, and obstetrical and neonatal outcomes for two generations of women and their offspring. PRELIMINARY RESULTS As of October 2018, the 3G cohort included 14 978 grandmothers (born 1939-1986), 16 766 mothers or cohort women (born 1981-2003), and 28 638 children (born 1996-2018). The cohort women were generally younger than Nova Scotian women born after 1980, and as a result, characteristics associated with pregnancy at a younger age were more frequently seen in the cohort women; sampling weights will be created to account for this design effect. The cohort will be updated annually to capture future deliveries to women who are already in the cohort and women who become eligible for inclusion when they deliver their first child. CONCLUSIONS The 3G Multigenerational Cohort is a population-based cohort of women and their mothers and offspring, spanning a time period of 38 years, and provides the opportunity to study inter- and transgenerational associations across the maternal line.
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Affiliation(s)
- Mary M Brown
- Perinatal Epidemiology Research Unit, Departments of Pediatrics, and Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
| | - Christy G Woolcott
- Perinatal Epidemiology Research Unit, Departments of Pediatrics, and Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
| | - Linda Dodds
- Perinatal Epidemiology Research Unit, Departments of Pediatrics, and Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
| | - Jillian Ashley-Martin
- Perinatal Epidemiology Research Unit, Departments of Pediatrics, and Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
| | - Victoria M Allen
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
| | - John Fahey
- Reproductive Care Program of Nova Scotia, Halifax, NS, Canada
| | - Stefan Kuhle
- Perinatal Epidemiology Research Unit, Departments of Pediatrics, and Obstetrics and Gynaecology, Dalhousie University, Halifax, NS, Canada
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Harville EW, Kartiosuo N. Transgenerational Studies: How Do We Investigate Multigenerational Effects? Obesity (Silver Spring) 2020; 28:482-483. [PMID: 32090512 PMCID: PMC7045946 DOI: 10.1002/oby.22723] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 12/03/2019] [Indexed: 11/10/2022]
Affiliation(s)
- Emily W Harville
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Noora Kartiosuo
- Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Mathematics and Statistics, University of Turku, Turku, Finland
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Franzago M, La Rovere M, Guanciali Franchi P, Vitacolonna E, Stuppia L. Epigenetics and human reproduction: the primary prevention of the noncommunicable diseases. Epigenomics 2019; 11:1441-1460. [PMID: 31596147 DOI: 10.2217/epi-2019-0163] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Epigenetic regulation of gene expression plays a key role in affecting human health and diseases with particular regard to human reproduction. The major concern in this field is represented by the epigenetic modifications in the embryo and the increased risk of long-life disorders induced by the use of assisted reproduction techniques, able to affect the epigenetic assessment in the first steps of embryo development. In this review, we analyze the correlation between epigenetic modifications and human reproduction, suggesting that the reversibility of the epigenetic processes could represent a novel resource for the treatment of the couple's infertility and that parental lifestyle in periconceptional period could be considered as an important issue of primary prevention.
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Affiliation(s)
- Marica Franzago
- Department of Medicine & Aging, School of Medicine & Health Sciences, 'G. d'Annunzio' University, Chieti-Pescara, Chieti, Italy.,Center for Aging Studies & Translational Medicine (CESI-MET), 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy
| | - Marina La Rovere
- Department of Psychological, Health & Territorial Sciences, School of Medicine & Health Sciences, 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy
| | - Paolo Guanciali Franchi
- Department of Medical, Oral & Biotechnological Sciences, School of Medicine & Health Sciences, 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy
| | - Ester Vitacolonna
- Department of Medicine & Aging, School of Medicine & Health Sciences, 'G. d'Annunzio' University, Chieti-Pescara, Chieti, Italy
| | - Liborio Stuppia
- Center for Aging Studies & Translational Medicine (CESI-MET), 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy.,Department of Psychological, Health & Territorial Sciences, School of Medicine & Health Sciences, 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy
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10
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Smoking habit from the paternal line and grand-child's overweight or obesity status in early childhood: prospective findings from the lifeways cross-generation cohort study. Int J Obes (Lond) 2018. [PMID: 29535453 DOI: 10.1038/s41366-018-0039-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND/OBJECTIVES The role of smoking from the paternal line during the pre-conception period on grand-child's overweight/obesity and associated underlying pathways are uncertain. We examined whether the smoking status from the paternal line was associated with the grand-child's higher weight at birth, and overweight or obesity at 5 and 9 years of age. The grandparental smoking effect from the maternal line was also explored. SUBJECTS/METHODS Participants were fathers and grandparents and grand-children from the Lifeways Cross Generational Cohort (N = 1021 for the analysis at birth; N = 562 and N = 284 for the analysis at 5 and 9 years, respectively). Paternal and grandparental smoking was defined as smoking versus non-smoking. Children's weight categories compared were high versus normal weight at birth, and overweight/obesity versus normal weight (based on BMI and waist circumference) at age of five and nine years. Logistic regression models were used to estimate the crude and adjusted associations. RESULTS After adjustment for several child and parental factors, at age five there was an association between paternal smoking and offspring's overweight/obesity based on BMI (Adjusted Odds Ratio (AOR), and 95%CI: 1.76, 1.14-2.71, p-value: 0.010), most marked for boys (AOR: 2.05, 1.06-3.96, p-value: 0.032). These associations remained when confined to the children sample with biological fathers only (overall sample, AOR: 1.92, 1.22-3.02, p-value: 0.005; son, AOR: 2.09, 1.06-4.11, p-value: 0.033). At age 9, the paternal grandmothers' smoking was positively associated with their grandchild's overweight/obesity status based on waist circumference (AOR: 3.29, 1.29-8.37), and especially with that of her granddaughter (AOR: 3.44, 1.11-10.69). These associations remained when analysing only the children sample with biological fathers (overall sample, AOR: 3.22,1.25-8.29, p-value: 0.016; granddaughter, AOR: 3.55, 1.13-11.15, p-value: 0.030). CONCLUSION The smoking habit from the paternal line is associated with grand-children's adiposity measures during their early childhood, which might be epigenetically transmitted through male-germline cells.
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11
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Ding M, Yuan C, Gaskins AJ, Field AE, Missmer SA, Michels KB, Hu F, Zhang C, Gillman MW, Chavarro J. Smoking during pregnancy in relation to grandchild birth weight and BMI trajectories. PLoS One 2017; 12:e0179368. [PMID: 28700699 PMCID: PMC5507479 DOI: 10.1371/journal.pone.0179368] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 05/30/2017] [Indexed: 11/19/2022] Open
Abstract
Background Maternal smoking has been linked to lower birth weight and higher risk of childhood obesity. However, it is unknown whether grand-maternal smoking during pregnancy is associated with grandchildren birth weight and body mass index (BMI) trajectories. Methods We investigated associations of smoking during pregnancy with birth weight, risks of overweight and BMI trajectories among 46,858 mother-child dyads and 6,583 grandmother-mother-child triads of three cohort studies of related individuals. Smoking during pregnancy was reported by mothers, and anthropometric data were provided by participants in each cohort. Results Compared to grandchildren of non-smoking women, grandchildren of women who smoked more than 14 cigarettes per day throughout pregnancy were 70 g (95% CI: 12, 129 g; P for trend = 0.01) heavier at birth, and 18% (95% CI: 4%, 34%; P for trend = 0.01) more likely to become overweight. The mean BMI of grandchildren of women who smoked during pregnancy was 0.45 kg/m2 (95% CI: 0.14, 0.75 kg/m2; P for trend = 0.006) higher through adolescence and young adulthood than that of grandchildren of non-smoking mothers. Conclusions Grandmothers’ smoking during pregnancy was associated with higher birth weight, higher risk of overweight, and higher BMI through adolescence and young adulthood.
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Affiliation(s)
- Ming Ding
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Changzheng Yuan
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Audrey J. Gaskins
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Alison E. Field
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Division of Adolescent Medicine, Department of Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States of America
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Stacey A. Missmer
- Division of Adolescent Medicine, Department of Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States of America
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics, Gynecology, and Reproductive Biology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Karin B. Michels
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
- Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women’s Hospital and Harvard Medical School Boston, MA, United States of America
| | - Frank Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Division of Adolescent Medicine, Department of Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States of America
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Cuilin Zhang
- Epidemiology Branch, Division of Epidemiology, Statistics and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD, United States of America
| | - Matthew W. Gillman
- Department of Population Medicine, Harvard Pilgrim HealthCare and Harvard Medical School, Boston, MA, United States of America
| | - Jorge Chavarro
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
- Division of Adolescent Medicine, Department of Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA, United States of America
- Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States of America
- * E-mail:
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