8 research outputs found

    Pre-matching baseline characteristics of community-dwelling older patients with diabetes mellitus according to statin use.

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    <p>VCOG: cognitive status; VIP: Nursing Care Needs; VPIA: pressure sores risk; VADL: activities of daily living; VMOB: mobility; VSOC: social support; MPI: Multidimensional Prognostic Index</p><p>MPI-SVaMA: Multidimensional Prognostic Index based on the Standardized Multidimensional Assessment Schedule for Adults and Aged Persons</p><p>* Number of all medications prescribed within one year before patient’s enrollment</p><p>Pre-matching baseline characteristics of community-dwelling older patients with diabetes mellitus according to statin use.</p

    Baseline characteristics of community-dwelling older patients with diabetes mellitus divided according to their Multidimensional Prognostic Index (MPI) grade based on the Standardized Multidimensional Assessment Schedule for Adults and Aged Persons (SVaMA).

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    <p>VADL: activities of daily living; VCOG: cognitive status; VIP: Nursing Care Needs; VMOB: mobility; VPIA: pressure sores risk; VSOC: social support</p><p>* Number of all medications per month, taken before the patient’s enrollment</p><p>^ ev/py: events/person-years, ir%: incidence rate (number of events per 100 person-years)</p><p>Baseline characteristics of community-dwelling older patients with diabetes mellitus divided according to their Multidimensional Prognostic Index (MPI) grade based on the Standardized Multidimensional Assessment Schedule for Adults and Aged Persons (SVaMA).</p

    Results of mixed model analyses showing within-subject associations between physical activity in the preceding day and sleep quantity and quality during the following night.

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    <p>All models are adjusted for sex, current BMI, age, socioeconomic status of the family, season, and history of any chronic disease.</p><p>*SD unit change refers to change in the dependent variable according to an increase of one standard deviation unit in the mean daytime physical activity.</p><p>95% CI refers to 95 percent Confidence Interval.</p

    Additional file 2: of The epigenetic clock and pubertal, neuroendocrine, psychiatric, and cognitive outcomes in adolescents

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    Figure S1. A scatterplot with a regression lines showing associations between epigenetic age acceleration and salivary cortisol awakening response in 11.0–13.2-year-old adolescent boys and girls. Epigenetic age acceleration is calculated as the residual from a linear regression where DNA methylation age is regressed on chronological age and adjusted for 6 cell types. Numbers showing percent increase in salivary cortisol upon awakening per 1 year increase in epigenetic age acceleration and 95% confidence intervals are derived from generalized linear models with Gaussian reference distribution and adjusted for three multidimensional scaling components from genome-wide data and time upon awakening. (PPTX 38 kb

    The results of mixed model analyses showing the within-subject associations between sleep quantity and quality in the preceding night and physical activity during the following day.

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    <p>All models are adjusted for sex, current BMI, age, socioeconomic status of the family, season, and history of any chronic disease.</p><p>SD unit change refers to change in standard deviation unit according to an increase of one standard deviation unit in sleep quality or quantity.</p><p>95% CI refers to 95 percent Confidence Interval.</p

    Additional file 1: of The epigenetic clock and pubertal, neuroendocrine, psychiatric, and cognitive outcomes in adolescents

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    Table S1. Associations between epigenetic age acceleration and covariates in 11.0–13.2-year-old adolescents. Table S2. Associations between epigenetic age acceleration and cognition in 11.0–13.2-year-old adolescents. (DOCX 17 kb
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