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Showing 181 - 191 results of 191 for search '(( 50 ((we decrease) OR (mean decrease)) ) OR ( 5 ((fold decrease) OR (nn decrease)) ))', query time: 0.25s Refine Results
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    Global pattern, trend, and cross-country inequality of early musculoskeletal disorders from 1990 to 2019, with projection from 2020 to 2050 by Yingzhao, Jin

    Published 2024
    “…FindingsMore adolescents and young adults were expected to develop MSK disorders by 2050. Across five age groups, the rates of prevalence, YLDs, and DALYs for RA, NP, LBP, gout, and OMSKDs sharply increased from ages 15–19 to 35–39; however, these were negligible for OA before age 30 but increased notably at ages 30–34, rising at least 6-fold by 35–39. …”
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  4. 184

    Global pattern, trend, and cross-country inequality of early musculoskeletal disorders from 1990 to 2019, with projection from 2020 to 2050 by Yingzhao, Jin

    Published 2024
    “…FindingsMore adolescents and young adults were expected to develop MSK disorders by 2050. Across five age groups, the rates of prevalence, YLDs, and DALYs for RA, NP, LBP, gout, and OMSKDs sharply increased from ages 15–19 to 35–39; however, these were negligible for OA before age 30 but increased notably at ages 30–34, rising at least 6-fold by 35–39. …”
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    article
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    Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021 by Natalia V, Bhattacharjee

    Published 2024
    “…To capture time-series trends in CCF50 not explained by these covariates, we used a first-order autoregressive model on the residual term. …”
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  8. 188

    Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021 by Natalia V, Bhattacharjee

    Published 2024
    “…To capture time-series trends in CCF50 not explained by these covariates, we used a first-order autoregressive model on the residual term. …”
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    article
  9. 189

    The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019 by Khanh Bao, Tran

    Published 2022
    “…BackgroundUnderstanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. …”
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