Is grand-parental smoking associated with adolescent obesity? A three-generational study

Dougan, Marcelle; Field, Alison E.; Rich‐Edwards, Janet W.; Hankinson, Susan E.; Glynn, Robert J.; Willett, Walter C.; Michels, Karin B.

doi:10.1038/ijo.2015.186

Cited by 14 publications

(12 citation statements)

References 47 publications

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“…The authors also posit that because, in some studies, control for generation 2 covariates leads to grandmaternal smoking being associated with higher grandchild birth weight, controlling is incorrect. However, if grandmaternal smoking lowers maternal birth weight, which in turn is associated with a higher metabolic risk, an increase in grandchild weight would be consistent with the hypothesized pathway . As always, the correct analysis depends on the research question.…”

mentioning

confidence: 99%

Transgenerational Studies: How Do We Investigate Multigenerational Effects?

Harville

Kartiosuo

2020

Obesity

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mentioning

confidence: 99%

Transgenerational Studies: How Do We Investigate Multigenerational Effects?

Harville

Kartiosuo

2020

Obesity

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“…However, these findings do not agree with the study results of Carslake et al (2016) [59] which found no clear association between paternal early-onset smoking (before the age of 11) and higher BMI values in offspring [59]. Instead, another study by Dougan et al (2016) [60] could show that grand-paternal smoking during pregnancy of the grandmother was associated with a higher risk for granddaughters at the age of 12 to be overweight or obese. A link between grand-paternal smoking and the BMI of the grandson was not established [60].…”

Section: Paternal Risk Factors: Epidemiological and Clinical Studiesmentioning

confidence: 60%

“…Instead, another study by Dougan et al (2016) [60] could show that grand-paternal smoking during pregnancy of the grandmother was associated with a higher risk for granddaughters at the age of 12 to be overweight or obese. A link between grand-paternal smoking and the BMI of the grandson was not established [60]. Deng et al (2013) [61] and Cresci et al (2011) [62] reported that paternal smoking was associated with conotruncal heart defects.…”

Section: Paternal Risk Factors: Epidemiological and Clinical Studiesmentioning

confidence: 95%

Paternal metabolic and cardiovascular programming of their offspring: A systematic scoping review

et al. 2020

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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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“…Transgenerational studies in humans that are focused on children's birthweight 19 and weight status [29][30][31][32][33][34][35][36] have examined the influence of grandparental obesity, [30][31][32] diabetes, 29,36 smoking, [33][34][35] and elevated cardiometabolic risk. 19 The available evidence, however, is limited by small sample sizes, 19,30,36 self-report of information, [29][30][31][32][33] the inability to adjust for all relevant confounders, 31 and improper adjustment for mediators. 19,29,[34][35][36] Thus, the need to clarify these transgenerational associations remains.…”

Section: Backg Rou N Dmentioning

confidence: 99%

The 3G Multigenerational Cohort of Nova Scotian women and their mothers and offspring

Brown

Woolcott

Dodds

et al. 2020

Paediatric Perinatal Epid

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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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Is grand-parental smoking associated with adolescent obesity? A three-generational study

Cited by 14 publications

References 47 publications

Transgenerational Studies: How Do We Investigate Multigenerational Effects?

Transgenerational Studies: How Do We Investigate Multigenerational Effects?

Paternal metabolic and cardiovascular programming of their offspring: A systematic scoping review

The 3G Multigenerational Cohort of Nova Scotian women and their mothers and offspring

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