Postpartum depression (PPD) is a common emotional distress among many women in diversified cultures. The aim of this study was to examine the relationship between prenatal smoking and PPD. We systematically searched PubMed, ISI Web of Science, EMBASE, Elsevier ScienceDirect, OVID and Springer databases up to 15 March 2017. The pooled odds ratio (OR) of PPD was compared between prenatal smoking women and the ones who did not smoke during pregnancy. The fixed effect model or random effect models were chosen according to heterogeneity between studies. A total of 13 studies with 1,476,922 women were included in the meta-analysis. The average incidence of PPD was 3.0% (1717/57,997) in women with smoke exposure and 1.3% (6571/488,225) in women without smoke exposure. The pooled OR was 2.325 (95% CI 1.925-2.808; = 8.76, < .0001) by random-effect model. The funnel plot was symmetrical, and either the Begg's test ( = 0.92, =.360) or the Egger's test ( = 0.04, = .9700) suggested no publication bias among included studies. Sensitivity analysis indicated that the result was robust. Our meta-analysis indicated that prenatal smoking was associated with postpartum depression.
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http://dx.doi.org/10.1080/0167482X.2017.1415881 | DOI Listing |
BMC Womens Health
January 2025
School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.
Background: Prenatal maternal smoking, lower birthweight, and shorter breastfeeding duration have all been associated with an earlier age at menopause in daughters. We estimated the extent to which birthweight-for-gestational-age z-score and breastfeeding duration mediate the effect of prenatal maternal smoking on time to natural menopause in daughters.
Methods: Using pooled data from two prospective birth cohort studies - the 1970 British Cohort Study (n = 3,878) followed-up to age 46 years and the 1958 National Child Development Study (n = 4,822) followed-up to age 50 years - we perform mediation analysis with inverse odds weighting implemented in Cox proportional-hazards models.
Nat Commun
January 2025
Department of Radiation Therapy, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
Numerous risk factors for oesophageal cancer are linked to lifestyle habits, but the role of early-life factors in its incidence and mortality is unclear. Using UK Biobank data, we explore the association among breastfeeding, maternal smoking, smoking in offspring, and oesophageal cancer risk in adult offspring via multivariable Cox regression. Here, we show that being breastfed, compared with not being breastfed, is associated with a lower risk of oesophageal cancer incidence (HR: 0.
View Article and Find Full Text PDFTransl Psychiatry
January 2025
Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.
The pace of biological aging varies between people independently of chronological age and mitochondria dysfunction is a key hallmark of biological aging. We hypothesized that higher functional impact (FI) score of mitochondrial DNA (mtDNA) variants might contribute to premature aging and tested the relationships between a novel FI score of mtDNA variants and epigenetic and biological aging in young adulthood. A total of 81 participants from the European Longitudinal Study of Pregnancy and Childhood (ELSPAC) prenatal birth cohort had good quality genetic data as well as blood-based markers to estimate biological aging in the late 20.
View Article and Find Full Text PDFDev Psychol
January 2025
School of Philosophy, Psychology, and Language Sciences, University of Edinburgh.
Twin studies have suggested extremely high estimates of heritability for adolescent executive function, with no substantial contributions from shared environment. However, developmental psychology research has found significant correlations between executive function outcomes and elements of the environment that would be shared in twins. It is unclear whether these seemingly contradictory findings are best explained by genetic confounding in developmental studies or limitations in twin studies, which can potentially underestimate shared environment.
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