50 research outputs found

    The relationship between individual-level, family-level (including attachment), and community-level variables and the willingness to receive support from a community health worker or participate in a support group: standardized probit regression coefficients (minus relative stability paths) (n = 435).

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    <p>The relationship between individual-level, family-level (including attachment), and community-level variables and the willingness to receive support from a community health worker or participate in a support group: standardized probit regression coefficients (minus relative stability paths) (n = 435).</p

    Population- concept-context framework [28].

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    Population- concept-context framework [28].</p

    PRIMSA flowchart.

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    PRIMSA flowchart.</p

    Database, field and boolean search strings.

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    Database, field and boolean search strings.</p

    Research questions and intended outcomes.

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    Research questions and intended outcomes.</p

    PRISMA-ScR [29].

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    PRISMA-ScR [29].</p

    Sample characteristics (n = 435).

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    <p>Sample characteristics (n = 435).</p

    Measurement model of the final HRQOL instrument.

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    <p><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0040628#pone-0040628-g002" target="_blank">Figure 2</a> offers a graphic representation of the factor structure of our final Dhuolo HRQOL instrument. With the exception of the negative wording factor, this figure also represents the final Lugandan HRQOL measurement instrument. The corresponding question of each number in the rectangle can be found in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0040628#pone-0040628-t001" target="_blank">Table 1</a>. The ellipses represent the method factor (<i>negative wording</i>), five first-order factors (<i>physical activities and health; general mood and feelings; family and free time; friends; school and learning</i>) and the second-order factor (<i>health-related quality of life</i>).</p

    Sum scores of the translated KIDSCREEN-52 in Kenya and Uganda (t-test).

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    <p><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0040628#pone-0040628-g001" target="_blank">Figure 1</a> compares the average sum scores of Kenyan adolescents on the ten domains of HRQOL, with the scores of their Ugandan counterparts. It can be noted that Kenyan adolescents score slightly higher in every domain, except for <i>general mood</i> and s<i>ocial acceptance</i>. A comparable score between the two countries can be found for <i>school and learning</i>.</p
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