Figures and data
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Decomposition of A) total variation in biological aging, and B) the variation of the residual term.
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Descriptive statistics of the adolescent lifestyle-related variables in all twins and in the subsample of twins with information on biological aging.
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The intraclass correlation coefficients (ICCs) of epigenetic aging measures by zygosity and correlation coefficients between the measures (n = 824)
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Model fit of the latent class models (n = 5,114).
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Classes with different lifestyle patterns (n = 5114). Mean and probability profiles (95% confidence intervals) of the indicator variables utilized in the classification: A) body mass index, B) regular LTPA (several times a week), C) daily smoking and D) regular alcohol use (once a month or more). For categorical variables, the probabilities of belonging to the highest categories are presented.
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Mean differences between the adolescent lifestyle behavior patterns in biological aging measured with A) DNAm PhenoAge, B) DNAm GrimAge, C) DunedinPoAm and D) DunedinPACE estimators (n = 824). The analysis was adjusted for sex (female), standardized age and baseline pubertal development. Means and 95% confidence intervals are presented. C1 = the class with the healthiest lifestyle pattern, C2 = the class with low–normal BMI, C3 = the class with a healthy lifestyle and high–normal BMI, C4 = the class with high BMI, C5 = the class with the unhealthiest lifestyle pattern. AA, age acceleration.
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Differences in biological aging between classes with different adolescent lifestyle behavior patterns.
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Proportions of variation in biological aging explained by genetic and (unshared) environmental factors shared with adolescent lifestyle patterns. The results are based on the model including additive genetic and non-shared environmental component (AE model). AA, age acceleration.