21 research outputs found

    Differences in blood pressure and biomarkers between welders and controls.

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    <p>Effect estimates presented are β-values for occupation (welder/control) derived from general linear models for each outcome.</p><p><sup>a</sup> The partly adjusted model was adjusted for age and BMI.</p><p><sup>b</sup> The fully adjusted model was adjusted for age, BMI, ethnicity, education, activity, family history of CVD, smoking history, and current residence.</p><p><sup>c</sup> SAA and MIP-1β were natural log-transformed.</p><p>Differences in blood pressure and biomarkers between welders and controls.</p

    The effect of respirable dust on blood pressure and biomarkers in welders.

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    <p>Effect estimates presented are β-values for respirable dust derived from general linear models for each outcome.<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131648#t006fn002" target="_blank"><sup>a</sup></a></p><p><sup>a</sup> Use of mask was taken into account in the estimation of the exposure to respirable dust.</p><p><sup>b</sup> The partly adjusted model was adjusted for age and BMI.</p><p><sup>c</sup> The fully adjusted model was adjusted for age, BMI, family history of CVD, and current residence.</p><p><sup>d</sup> SAA and MIP-1β were natural log-transformed.</p><p>The effect of respirable dust on blood pressure and biomarkers in welders.</p

    The effect of years working as a welder on blood pressure and biomarkers in welders.

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    <p>Effect estimates presented are β-values for years working as a welder derived from general linear models for each outcome.</p><p><sup>a</sup> The partly adjusted model was adjusted for BMI.</p><p><sup>b</sup> The fully adjusted model was adjusted for BMI, family history of CVD, and current residence.</p><p><sup>c</sup> SAA and MIP-1β were natural log-transformed.</p><p>The effect of years working as a welder on blood pressure and biomarkers in welders.</p

    The effect of years working as a welder on blood pressure and biomarkers in welders with age adjustment.

    No full text
    <p>Effect estimates presented are β-values for years working as a welder derived from general linear models for each outcome.</p><p><sup>a</sup> The partly adjusted model was adjusted for age and BMI.</p><p><sup>b</sup> The fully adjusted model was adjusted for age, BMI, family history of CVD, and current residence.</p><p><sup>c</sup> SAA and MIP-1β were natural log-transformed.</p><p>The effect of years working as a welder on blood pressure and biomarkers in welders with age adjustment.</p

    Basic characteristics and biomarkers in welders and controls.<sup>a</sup>

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    <p><sup>a</sup> LOD = limit of detection. CVD = cardiovascular disease.</p><p><sup>b</sup> Participants reported if they have had myocardial infarction, angina pectoris, hypertension, stroke, blood clot, and/or other CVD.</p><p><sup>c</sup> Participants reported taking prescription medication for CVD.</p><p><sup>d</sup> Participants reported if their parents or siblings had had myocardial infarction, stroke, and/or hypertension before they were 65 years old.</p><p><sup>e</sup> The P-values were derived from Mann-Whitney U tests unless marked with “f” meaning the P-value was from Fisher’s exact test.</p><p>Basic characteristics and biomarkers in welders and controls.<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131648#t001fn001" target="_blank"><sup>a</sup></a></p
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