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Showing 141 - 160 results of 286 for search '(( 100 nm decrease ) OR ( 10 ((per decrease) OR (((nn decrease) OR (mean decrease)))) ))*', query time: 0.18s Refine Results
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    Mental health, burnout and resilience in community pharmacists during the COVID-19 pandemic: A cross-sectional study by Zeana, Samir AlKudsi

    Published 2022
    “…Resilience was assessed using the Connor-Davidson Resilience Scale-10 (CD-RISC-10). Depression, anxiety, and stress were measured by the Depression, Anxiety, and Stress Scale (DASS-21). …”
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    Global, regional, and national burden of household air pollution, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 by Fiona B, Bennitt

    Published 2025
    “…FindingsIn 2021, 2·67 billion (95% uncertainty interval [UI] 2·63–2·71) people, 33·8% (95% UI 33·2–34·3) of the global population, were exposed to HAP from all sources at a mean concentration of 84·2 μg/m3. Although these figures show a notable reduction in the percentage of the global population exposed in 1990 (56·7%, 56·4–57·1), in absolute terms, there has been only a decline of 0·35 billion (10%) from the 3·02 billion people exposed to HAP in 1990. …”
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  9. 149

    Mental distress and its associations with behavioral outcomes during the COVID-19 pandemic: a national survey of Chinese adults by L., Ma

    Published 2021
    “…ResultsAfter adjusting for covariates, greater mental distress was associated with increased smoking (odds ratio [OR] = 1.42, 95% confidence interval [CI]: 1.20–1.68 and OR = 1.54, 95% CI: 1.31–1.82 per one standard deviation [SD] increase in mental distress) and alcohol consumption (OR = 1.67, 95% CI: 1.45–1.92 and OR = 1.47, 95% CI: 1.24–1.75 per one SD increase in mental distress) among current smokers and drinkers and with both increased and decreased physical activity (ORs ranged from 1.32 to 1.56). …”
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    Association Between Sleep Duration, Food Consumption Patterns and Obesity Among Adolescents in Qatar by Mohammed, Sara

    Published 2020
    “…Multiple regression analysis revealed that as the WC and BMI increased, consumption of healthy eating pattern decreased by 25% and 10 % respectively (p<0.001) Conclusion: Lack of sufficient sleep and decreased consumption of healthy foods have an association with increased risk of being obese among adolescents…”
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