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per decrease » _ decrease (Expand Search)
ms decrease » _ decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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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
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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Mental distress and its associations with behavioral outcomes during the COVID-19 pandemic: a national survey of Chinese adults
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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Contrasting cardiovascular mortality trends in Eastern Mediterranean populations: Contributions from risk factor changes and treatments
Published 2016“…Results Risk factor trends: Smoking prevalence was high in men, persisting in Syria but decreasing in Tunisia, oPt and Turkey. BMI rose by 1-2 kg/m2 and diabetes prevalence increased by 40%-50%. …”
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Association Between Sleep Duration, Food Consumption Patterns and Obesity Among Adolescents in Qatar
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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