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Abstract
Telomeres play an important role in maintaining chromosomal integrity. With each cell division, telomeres are shortened and leukocyte telomere length (LTL) has therefore been considered a marker for biological age. LTL is associated with various lifetime stressors and health-related outcomes. Transgenerational effects have been implicated in newborns, with maternal stress, depression, and anxiety predicting shorter telomere length at birth, possibly reflecting the intrauterine growth environment. Previous studies, with relatively small sample sizes, have reported an effect of maternal stress, BMI, and depression during pregnancy on the LTL of newborns. Here, we attempted to replicate previous findings on prenatal stress and newborn LTL in a sample of 1405 infants using a qPCR-based method. In addition, previous research has been expanded by studying the relationship between maternal sleep quality and LTL. Maternal prenatal stress, anxiety, depression, BMI, and self-reported sleep quality were evaluated with self-reported questionnaires. Despite sufficient power to detect similar or even considerably smaller effects than those previously reported in the literature, we were unable to replicate the previous correlation between maternal stress, anxiety, depression, or sleep with LTL. We discuss several possible reasons for the discrepancies between our findings and those previously described.
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Details
 ; Hovatta Iiris 3
 
; Hovatta Iiris 3  
 ; Paavonen Juulia 4 ; Saarenpää-Heikkilä Outi 5 ; Kylliäinen Anneli 6 ; Pölkki Pirjo 7 ; Porkka-Heiskanen Tarja 8 ; Paunio Tiina 9
 
; Paavonen Juulia 4 ; Saarenpää-Heikkilä Outi 5 ; Kylliäinen Anneli 6 ; Pölkki Pirjo 7 ; Porkka-Heiskanen Tarja 8 ; Paunio Tiina 9 1 National Institute for Health and Welfare, Department of Genetics and Biomarkers, Helsinki, Finland (GRID:grid.14758.3f) (ISNI:0000 0001 1013 0499); University of Helsinki and Helsinki University Hospital, Department of Psychiatry, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071)
2 University of Helsinki, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071)
3 University of Helsinki, Department of Psychology and Logopedics, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071); University of Helsinki, SleepWell Research Program, Faculty of Medicine, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071); University of Helsinki, Neuroscience Center, Helsinki Institute of Life Science HiLIFE, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071)
4 National Institute for Health and Welfare, Department of Public Health Solutions, Helsinki, Finland (GRID:grid.14758.3f) (ISNI:0000 0001 1013 0499); University of Helsinki and Helsinki University Hospital, Pediatric Research Center, Child Psychiatry, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071)
5 Tampere University Hospital, Department of Paediatrics, Tampere, Finland (GRID:grid.412330.7) (ISNI:0000 0004 0628 2985); Tampere University, Tampere Centre for Child Health Research, Tampere, Finland (GRID:grid.502801.e) (ISNI:0000 0001 2314 6254)
6 Tampere University, Psychology, Faculty of Social Sciences, Tampere, Finland (GRID:grid.502801.e) (ISNI:0000 0001 2314 6254)
7 University of Eastern Finland, Department of Social Sciences, Kuopio, Finland (GRID:grid.9668.1) (ISNI:0000 0001 0726 2490)
8 University of Helsinki, SleepWell Research Program, Faculty of Medicine, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071)
9 National Institute for Health and Welfare, Department of Genetics and Biomarkers, Helsinki, Finland (GRID:grid.14758.3f) (ISNI:0000 0001 1013 0499); University of Helsinki and Helsinki University Hospital, Department of Psychiatry, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071); University of Helsinki, SleepWell Research Program, Faculty of Medicine, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071)




