17 research outputs found

    Distribution of disability benefits, mean age at award, years of working lost and percentage of women within ICD-10 diagnostic chapter.

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    1<p>Prevalence within total number of permanent disability benefits.</p>2<p>Age at permanent disability benefit award.</p>3<p>Assuming age retirement at age 67.</p>4<p>Percentage within total lost working years.</p

    Distribution of disability benefits, mean age at award, years of working lost and percentage of women within the ICD-10 mental disorders chapter.

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    1<p>Assuming age retirement at age 67.</p>2<p>Prevalence within permanent disability benefits awarded for mental disorders only.</p>3<p>Prevalence within total number of permanent disability benefits.</p>4<p>Percentage within years of working lost due to mental disorders.</p>5<p>Percentage within total years of working lost.</p

    Age-distribution disability benefit award by diagnosis.

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    <p>Age-distribution of when disability benefits are awarded for mental disorders, musculoskeletal disorders and other somatic disorders. New permanent disability benefit awarded in Norway from 2001 to 2003.</p

    Incidence disability benefit award and lost working years by diagnosis.

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    <p>Proportions of total years of working lost and disability benefit award incidence per ICD-10 diagnostic chapter. New permanent disability benefits awarded in Norway from 2001 to 2003.</p

    Association between childhood internalizing behavior scores at 18 months and early adult anxiety scores (18–19 years) by adolescent smoking status.

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    <p><b>Caption:</b> Adolescent active smokers who demonstrated higher internalizing behaviors during infancy (18months) displayed significantly elevated anxiety in early adulthood that was not present for non-adolescent active smokers.</p

    Structural model of associations between active smoking and anxiety scores in adolescence (age 14–15) and early adulthood (age 18–19).

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    <p><b>Caption:</b> Adolescent active smoking at age 14–15 years in the total sample and for girls only was associated with increased anxiety symptoms scores at age 18–19 years (β coefficients displayed for total sample first, then for girls only). * p<0.05, ** p<0.01. The model is adjusted for maternal educational level. Only significant paths are shown. All paths were estimated in the model (df = 0). Model fit perfect (χ <sup>2</sup> = 0.00, RMSEA = 0.000, TLI and CFI = 1.00). The path from Adolescent active smoking to early adult active smoking is a probit regression coefficient. When translated into probabilities, the results show that at a mean level of maternal education and adolescent anxiety, active smoking during adolescence has 65% risk of being active smokers in early adulthood, while non-active smokers during adolescence has a 36% risk of active-smoking in early adulthood.</p

    Association between childhood shyness at 18 months and early adult anxiety scores (18–19 years) by adolescent smoking status.

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    <p><b>Caption:</b> No relationship, both for adolescent active smokers and non-active smokers, was discovered between reported infant shyness at 18 months and early adult anxiety scores.</p
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