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Health outcomes at young adulthood by multiple and logistic regression analyses in models including BMI SDS at birth and the conditional change scores.

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Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Health_outcomes_at_young_adulthood_by_multiple_and_logistic_regression_analyses_in_models_including_BMI_SDS_at_birth_and_the_conditional_change_scores_/489329
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All analyses are adjusted for age and gender.*0.002**ppALog transformed variables.BThe independent variables between birth and 18y are conditional measures. i.e, they are regressed on the BMI SDS at birth and previous change scores, so the BMI SDS changes are uncorrelated. The formula to obtain the conditional change scores is Xres n = Y - α - β . Z0 - γ(n-(n-1)).. Xres (n-(n-1)) - γ (n-(n-2)) Xres (n-(n-2)) - ...... - γ (n-1). Xres (n-1), where Z0 equals BMI SDS at birth, Xres n conditional change scores, and Y the outcome variable. If statistically significant the quadratic term of Xres n was added to the formula.
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2015-12-02
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