Přehled o publikaci
2023
Birth outcomes, puberty onset, and obesity as long-term predictors of biological aging in young adulthood
JÁNI, Martin; Lenka KOTAČKOVÁ; Pavel PILER; Lenka ANDRÝSKOVÁ; Milan BRÁZDIL et al.Základní údaje
Originální název
Birth outcomes, puberty onset, and obesity as long-term predictors of biological aging in young adulthood
Autoři
JÁNI, Martin; Lenka KOTAČKOVÁ; Pavel PILER; Lenka ANDRÝSKOVÁ; Milan BRÁZDIL a Klára MAREČKOVÁ
Vydání
FRONTIERS IN NUTRITION, SWITZERLAND, FRONTIERS MEDIA SA, 2023, 2296-861X
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Stát vydavatele
Švýcarsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14740/23:00130447
Organizace
Středoevropský technologický institut – Masarykova univerzita – Repozitář
UT WoS
EID Scopus
Klíčová slova anglicky
biological aging; BMI; obesity; puberty; birth outcomes; life history theory
Návaznosti
EF15_003/0000469, projekt VaV. EF17_043/0009632, projekt VaV. LX22NPO5107, projekt VaV. NU20J-04-00022, projekt VaV. RECETOX RI, velká výzkumná infrastruktura.
Změněno: 16. 7. 2024 05:11, RNDr. Daniel Jakubík
Anotace
V originále
BackgroundBiological aging and particularly the deviations between biological and chronological age are better predictors of health than chronological age alone. However, the predictors of accelerated biological aging are not very well understood. The aim was to determine the role of birth outcomes, time of puberty onset, body mass index (BMI), and body fat in accelerated biological aging in the third decade of life. MethodsWe have conducted a second follow-up of the Czech part of the European Longitudinal Study of Pregnancy and Childhood (ELSPAC-CZ) prenatal birth cohort in young adulthood (52% male; age 28-30; n = 262) to determine the role of birth outcomes, pubertal timing, BMI, and body fat on biological aging. Birth outcomes included birth weight, length, and gestational age at birth. Pubertal timing was determined by the presence of secondary sexual characteristics at the age of 11 and the age of first menarche in women. Biological age was estimated using the Klemera-Doubal Method (KDM), which applies 9-biomarker algorithm including forced expiratory volume in one second (FEV1), systolic blood pressure, glycated hemoglobin, total cholesterol, C-reactive protein, creatinine, urea nitrogen, albumin, and alkaline phosphatase. Accelerated/decelerated aging was determined as the difference between biological and chronological age (BioAGE). ResultsThe deviations between biological and chronological age in young adulthood ranged from -2.84 to 4.39 years. Accelerated biological aging was predicted by higher BMI [in both early (R-adj(2) = 0.05) and late 20s (R-adj(2) = 0.22)], subcutaneous (R-adj(2) = 0.21) and visceral fat (R-adj(2) = 0.25), puberty onset (eta(2)(p) = 0.07), birth length (R-adj(2) = 0.03), and the increase of BMI over the 5-year period between the two follow-ups in young adulthood (R-adj(2) = 0.09). Single hierarchical model revealed that shorter birth length, early puberty onset, and greater levels of visceral fat were the main predictors, together explaining 21% of variance in accelerated biological aging. ConclusionOur findings provide comprehensive support of the Life History Theory, suggesting that early life adversity might trigger accelerated aging, which leads to earlier onset of puberty but decreasing fitness in adulthood, reflected by more visceral fat and higher BMI. Our findings also suggest that reduction of BMI in young adulthood slows down biological aging.