8 research outputs found

    Tables - Supplemental material for Efficacy and Patient Satisfaction Associated With Intramuscular Triamcinolone Therapy for Acute Flares of Hidradenitis Suppurativa

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    Supplemental material, Tables, for Efficacy and Patient Satisfaction Associated With Intramuscular Triamcinolone Therapy for Acute Flares of Hidradenitis Suppurativa by Gabrielle Benesh, Tyler M. Andriano, H. Dean Hosgood and Steven R. Cohen in Journal of Cutaneous Medicine and Surgery</p

    Occupational Physical Activity and Body Mass Index: Results from the Hispanic Community Health Study / Study of Latinos

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    <div><p>Purpose</p><p>To examine the associations between overweight/obesity and occupation among Hispanics/Latinos, the largest minority population in the U.S.</p><p>Methods</p><p>This study included 7,409 employed individuals in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), a prospective study of Hispanic/Latino individuals aged 18–74 in four communities in the U.S. We independently examined the relationships between BMI, Occupational Activity (OA), and Total Hours Worked, quantified via self-reported hours worked per week and occupation-assigned Metabolic Equivalents (METs).</p><p>Results</p><p>More than three quarters of the participants were either overweight (39.3%) or obese (37.8%). Individuals with a primary occupation and those employed in a secondary occupation worked an average of 36.8 and 14.6 hrs/wk, respectively. The overall adjusted odds for being obese compared to normal weight were 3.2% (AOR = 1.03, 95% CI 1.01, 1.05) and 14.4% (AOR = 1.14 95% Cl 1.07, 1.23) greater for each 10 MET•hrs/wk unit of increased OA, and each 10-hrs/wk unit of Total Hours Worked, respectively.</p><p>Conclusion</p><p>This study presents the first findings on the association between OA with overweight/obesity among Hispanic/Latino individuals in the U.S. Increasing OA and Total Hours Worked per week were independently associated with increasing odds of overweight/obesity suggesting that the workplace is only one part of the overall energy expenditure dynamic. Our findings point to the need to emphasize engaging employed individuals in greater levels of PA outside of the work environment to impact overweight/obesity.</p></div

    Categorical polytomous BMI outcomes regressed upon Occupational Activity<sup>§</sup> among employed individuals participating in the HCHS/SOL study, stratified by gender (N = 7,354<sup>a</sup>).

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    <p>Categorical polytomous BMI outcomes regressed upon Occupational Activity<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152339#t005fn001" target="_blank"><sup>§</sup></a> among employed individuals participating in the HCHS/SOL study, stratified by gender (N = 7,354<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152339#t005fn006" target="_blank"><sup>a</sup></a>).</p

    Categorical polytomous BMI outcomes regressed upon Employment Status (Employed vs. Unemployed) among individuals participating in the HCHS/SOL study, stratified by gender (N = 14,114<sup>a</sup>).

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    <p>Categorical polytomous BMI outcomes regressed upon Employment Status (Employed vs. Unemployed) among individuals participating in the HCHS/SOL study, stratified by gender (N = 14,114<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152339#t003fn002" target="_blank"><sup>a</sup></a>).</p

    Categorical polytomous BMI outcomes regressed upon Self-Reported Occupational Activity<sup>§</sup> among employed individuals participating in the HCHS / SOL study, stratified by gender (N = 3,951<sup>a</sup>).

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    <p>Categorical polytomous BMI outcomes regressed upon Self-Reported Occupational Activity<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152339#t004fn001" target="_blank"><sup>§</sup></a> among employed individuals participating in the HCHS / SOL study, stratified by gender (N = 3,951<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152339#t004fn004" target="_blank"><sup>a</sup></a>).</p

    Occupational MET<sup>*</sup> Categorical Assignment Scheme (N = 7,336<sup>§</sup>).

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    <p>Occupational MET<sup><a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152339#t001fn001" target="_blank">*</a></sup> Categorical Assignment Scheme (N = 7,336<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152339#t001fn002" target="_blank"><sup>§</sup></a>).</p

    Personal and Indoor PM<sub>2.5</sub> Exposure from Burning Solid Fuels in Vented and Unvented Stoves in a Rural Region of China with a High Incidence of Lung Cancer

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    The combustion of biomass and coal is the dominant source of household air pollution (HAP) in China, and contributes significantly to the total burden of disease in the Chinese population. To characterize HAP exposure related to solid fuel use and ventilation patterns, an exposure assessment study of 163 nonsmoking female heads of households enrolled from 30 villages was conducted in Xuanwei and Fuyuan, two neighboring rural counties with high incidence of lung cancer due to the burning of smoky coal (a bituminous coal, which in health evaluations is usually compared to smokeless coalan anthracite coal available in some parts of the area). Personal and indoor 24-h PM<sub>2.5</sub> samples were collected over two consecutive days in each household, with approximately one-third of measurements retaken in a second season. The overall geometric means (GM) of personal PM<sub>2.5</sub> concentrations in Xuanwei and Fuyuan were 166 [Geometric Standard Deviation (GSD):2.0] and 146 (GSD:1.9) μg/m<sup>3</sup>, respectively, which were similar to the indoor PM<sub>2.5</sub> air concentrations [GM­(GSD):162 (2.1) and 136 (2.0) μg/m<sup>3</sup>, respectively]. Personal PM<sub>2.5</sub> was moderately highly correlated with indoor PM<sub>2.5</sub> (Spearman <i>r </i>= 0.70, <i>p</i> < 0.0001). Burning wood or plant materials (tobacco stems, corncobs etc.) resulted in the highest personal PM<sub>2.5</sub> concentrations (GM:289 and 225 μg/m<sup>3</sup>, respectively), followed by smoky coal, and smokeless coal (GM:148 and 115 μg/m<sup>3</sup>, respectively). PM<sub>2.5</sub> levels of vented stoves were 34–80% lower than unvented stoves and firepits across fuel types. Mixed effect models indicated that fuel type, ventilation, number of windows, season, and burning time per stove were the main factors related to personal PM<sub>2.5</sub> exposure. Lower PM<sub>2.5</sub> among vented stoves compared with unvented stoves and firepits is of interest as it parallels the observation of reduced risks of malignant and nonmalignant lung diseases in the region
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