16 research outputs found

    Participant Characteristics according to the Number of Days Moving beyond the Neighborhood during One Week.

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    <p>IQR = interquartile range.</p><p><sup>a</sup> Kruskal Wallis.</p><p><sup>b</sup> Chi-square tests.</p><p>Participant Characteristics according to the Number of Days Moving beyond the Neighborhood during One Week.</p

    Group Comparisons of Physical Activity according to the Number of Days Moving beyond the Neighborhood.

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    <p>M = Mean, 95%CI = 95% confidence interval.</p><p><sup>a</sup> Generalized Linear Models adjusted for accelerometer wear time.</p><p><sup>b</sup> Generalized Linear Models adjusted for accelerometer wear time + age + sex.</p><p><sup>c</sup> Generalized Linear Models adjusted for accelerometer wear time + age + sex + walking difficulty + monthly car driving.</p><p><sup>d</sup> Not adjusted for accelerometer wear time in any model.</p><p>Group Comparisons of Physical Activity according to the Number of Days Moving beyond the Neighborhood.</p

    Proportion of Participants according to Greatest Life-Space Area and Frequency of Reaching Respective Area (N = 174).

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    <p>NOTE: Moving in the life-space areas inside (n = 1), outside (n = 1), neighborhood (n = 2) or beyond town (n = 2) for 6–7 days a week.</p

    Within-Subject Comparison of Days on which a Participant Reached Different Life-Space Areas (N = 150).

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    <p>NOTE: General Estimating Equation models including participants who reached at least two different life-space areas during the assessment week. Statistically significant differences (p < .05) from average day “neighborhood” are indicated in bold.</p><p>b = regression coefficient, 95%CI = 95% confidence interval.</p><p><sup>a</sup> Adjusted for accelerometer wear time.</p><p>Within-Subject Comparison of Days on which a Participant Reached Different Life-Space Areas (N = 150).</p

    Multinomial logistic regression analyses on baseline associations between perceived environmental barriers outdoors and mobility modifications and mobility difficulty among community-dwelling older people (n = 848).

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    <p>Multinomial logistic regression analyses on baseline associations between perceived environmental barriers outdoors and mobility modifications and mobility difficulty among community-dwelling older people (n = 848).</p

    Number of perceived environmental barriers and mobility modification as predictors of incident mobility difficulty among community-dwelling older people without mobility difficulty at baseline (n = 492).

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    <p>Number of perceived environmental barriers and mobility modification as predictors of incident mobility difficulty among community-dwelling older people without mobility difficulty at baseline (n = 492).</p

    Association between number of perceived environmental barriers outdoors and type of mobility modification among community-dwelling older people (n = 848).

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    <p>Association between number of perceived environmental barriers outdoors and type of mobility modification among community-dwelling older people (n = 848).</p

    Baseline characteristics according to mobility categorizations among community-dwelling people (n = 848).

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    <p>Baseline characteristics according to mobility categorizations among community-dwelling people (n = 848).</p
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