31 research outputs found

    Mortality Rates and Hazard Ratios of Mortality for Income and Education, by Gender and Race/ethnicity.

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    †<p>1370320 (67885.83, 27660815);</p>‡<p>1773536 (695560.1, 4522152).</p

    Mortality rate and hazard ratios of mortality for individual mediators.

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    <p>Abbreviations: ADL: Activities of daily living; BMI: Body mass index; CRP: C-reactive protein; CVD: Cardiovascular disease; GPA: General physical activities; HEI: Healthy eating index; IADL: Instrumental activities of daily living; LEM: Lower extremity mobility; LSA: Leisure and social activities; PIR: Poverty-income ratio.</p>a<p>The mortality rates are per 1,000 person-years;</p>b<p>Hazard ratio in separate models for each mediator, controlled for income, age, sex, education and race/ethnicity.</p

    Baseline characteristics by income groups.

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    <p>Abbreviations: ADL: Activities of daily living; BMI: Body mass index; CRP: C-reactive protein; CVD: Cardiovascular disease; GPA: General physical activities; HEI: Healthy eating index; IADL: Instrumental activities of daily living; LEM: Lower extremity mobility; LSA: Leisure and social activities; PIR: Poverty-income ratio.</p><p>Data are N (%) unless otherwise indicated. <sup>a</sup> χ<sup>2</sup> (chi-square) analysis was used to compare frequencies and ANOVA was used to compare mean age between groups.</p

    Spatial patterns (Anselin local Moran's I tests) of nine GIS-based measures in access to mammography in St. Louis.

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    <p>Spatial patterns (Anselin local Moran's I tests) of nine GIS-based measures in access to mammography in St. Louis.</p

    Weighted Kappa (95% confidence intervals) for nine GIS-based measures of access to mammography in St. Louis.

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    <p>(DST: shortest travel time; DST5: average of 5 shortest travel time; DES: density; SAU: spatial accessibility index from the model without weighting parameter; SAC: spatial accessibility index from the model with continuous weighting parameter; SA3Q: spatial accessibility index from the zonal weighted model with 3 time zones and quick decay weighting; SA3S: spatial accessibility index from the zonal weighted model with 3 time zones and slow decay weighting; SA6Q: spatial accessibility index from the zonal weighted model with 6 time zones and quick decay weighting; SA6S: spatial accessibility index from the zonal weighted model with 6 time zones and slow decay weighting.)</p

    Mediating effect of several factors on all-cause mortality and CVD/diabetes mortality among low- and intermediate-income groups.

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    a<p>age, sex, education, and race/ethnicity adjusted.</p>b<p>Calculated as: (β <sub>Model I –</sub> β <sub>Model I+mediator(s)</sub>) × 100/β <sub>Model I</sub> for all-cause mortality (β <sub>Model II -</sub> β <sub>Model II+mediator(s)</sub>) × 100/β <sub>Model II</sub> for CVD/diabetes mortality.</p

    Overlap Between Health Behaviors and Health Status.

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    <p>Example of calculation for all-cause mortality, low-income group: Mediating effect of Health Behaviors and Health Status = 57% Mediating effect of Health Behaviors = 30%; Mediating effect of Health Status = 39% Combined effect = 30%+39% = 69% Overlap = 69% –57% = 12% Health Behaviors, independent Effect = 30%–12% = 18% Health Status, Independent Effect = 39%–12% = 27%.</p

    Global Moran's I of nine GIS-based measures in access to mammography in St. Louis.

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    <p>(DST: shortest travel time; DST5: average of 5 shortest travel time; DES: density; SAU: spatial accessibility index from the model without weighting parameter; SAC: spatial accessibility index from the model with continuous weighting parameter; SA3Q: spatial accessibility index from the zonal weighted model with 3 time zones and quick decay weighting; SA3S: spatial accessibility index from the zonal weighted model with 3 time zones and slow decay weighting; SA6Q: spatial accessibility index from the zonal weighted model with 6 time zones and quick decay weighting; SA6S: spatial accessibility index from the zonal weighted model with 6 time zones and slow decay weighting.)</p

    Characteristics of Census variables composing census block group socioeconomic (SES) deprivation index.

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    §<p>White collar includes management, professional, and related occupations;</p>†<p>% female headed HH with dependent children (no husband present with own children under 18 years;</p>*<p>variables selected to compute the socioeconomic deprivation score.</p

    Distribution of nine GIS-based measures in access to mammography in St. Louis.

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    <p>Distribution of nine GIS-based measures in access to mammography in St. Louis.</p
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