2019
DOI: 10.1111/mcn.12857
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Abstract: Born small for gestational age due to undernutrition in utero and subsequent catch‐up growth is associated with risk of developing chronic diseases in adulthood. Telomere length has been shown to be a predictor of these age‐related diseases and may be a link between birth size, a surrogate for foetal undernutrition, and adult chronic diseases. We assessed the relationship of leukocyte telomere length in adult life with birth outcomes and serial change in body mass index (BMI) from birth to adulthood. Leukocyte… Show more

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Cited by 6 publications
(3 citation statements)
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References 45 publications
(66 reference statements)
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“…Child bTL values identified as outliers (± 3 SD from the Mean) were winsorized. Child bTL values were then z-transformed for analyses to improve comparability across studies, as has been recommended (Verhulst, 2020) Preliminary analyses examined sample characterstics and bivariate correlations of child buccal telomere length with child demographic (child age, sex, race as African-American vs. other; ethnicity as Hispanic vs. other), mother demographic (years education, per capita income adjusted for cost of living in the site), father age, mother health (prepregnancy BMI, smoking during pregnancy, gestational diabetes) and pregnancy outcome variables (child birth weight, gestational length) to identify potential covariates given previous links to these factors and child telomere length (Liu et al, 2019;Needham et al, 2012;Tarik et al, 2019;Factor-Litvak et al, 2016;Xu et al, 2014;Ip et al, 2017;Akkad et al, 2006;Martens et al, 2016). Any variable significantly associated with child telomere length was included as a covariate in follow-up analyses.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Child bTL values identified as outliers (± 3 SD from the Mean) were winsorized. Child bTL values were then z-transformed for analyses to improve comparability across studies, as has been recommended (Verhulst, 2020) Preliminary analyses examined sample characterstics and bivariate correlations of child buccal telomere length with child demographic (child age, sex, race as African-American vs. other; ethnicity as Hispanic vs. other), mother demographic (years education, per capita income adjusted for cost of living in the site), father age, mother health (prepregnancy BMI, smoking during pregnancy, gestational diabetes) and pregnancy outcome variables (child birth weight, gestational length) to identify potential covariates given previous links to these factors and child telomere length (Liu et al, 2019;Needham et al, 2012;Tarik et al, 2019;Factor-Litvak et al, 2016;Xu et al, 2014;Ip et al, 2017;Akkad et al, 2006;Martens et al, 2016). Any variable significantly associated with child telomere length was included as a covariate in follow-up analyses.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…In men, lower birth weight predicted advanced biological aging based on epigenetic clocks [94]. Furthermore, no association was found between birth weight and telomere length in humans [95][96][97]. Masterson et al [98] showed that heavier birth weight was associated with longer telomere length but the relationship was attenuated by maternal age at birth and probably rather related to childhood growth.…”
Section: Discussionmentioning
confidence: 99%

Birth size and the pace of aging in men

Żelaźniewicz,
Nowak-Kornicka,
Pawłowski
2023
Preprint
“…3 Since the explication of the Barker hypothesis, numerous investigations have been used to attempt to find its molecular basis. Explanations include reductions in telomere length 4 and changes in the epigenetic profile, 5 both hypothesized to result in increased rates of cellular aging. 6 Specific patterns in DNA methylation thought to be age related define the construct of epigenetic clocks, which are used to estimate aging and age-related disease risk.…”
mentioning
confidence: 99%