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Eric J Shiroma

Datos Biográficos

ID7794028
NOMBREEric J Shiroma
NOMBRESEric J
APELLIDOShiroma
FIRMASHIROMA E J
AFILIACIONESHarvard University
ORCID0000-0003-4920-2642
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS0
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2012
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H0
  • Physical inactivity and non-communicable disease burden in low-income, middle-income and high-income countries

    P T Katzmarzyk, Christine Friedenreich et al.•ARTICLE•British Journal of Sports Medicine•2022

    OBJECTIVES: Physical inactivity is a risk factor for premature mortality and several non-communicable diseases. The purpose of this study was to estimate the global burden associated with physical inactivity, and to examine differences by country income and region. METHODS: Population-level, prevalence-based population attributable risks (PAR) were calculated for 168 countries to estimate how much disease could be averted if physical inactivity w…

  • Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study

    Open Access•Sarah Kozey Keadle, Eric J Shiroma et al.•ARTICLE•BMC Public Health•2014

    Combining log-dates and the Choi algorithm was optimal, minimizing missing data and researcher burden. Estimates of time in physical activity and sedentary behavior are not directly comparable between V-axis and VM cut-points. These findings will inform consensus development for accelerometer data processing in ongoing epidemiologic studies

  • Effect of physical inactivity on major non-communicable diseases worldwide

    Open Access•I-Min Lee, I‐Min Lee et al.•ARTICLE•The Lancet•2012

Sin obras prominentes en esta página.

  • Effect of physical inactivity on major non-communicable diseases worldwide

    Open Access•I-Min Lee, I‐Min Lee et al.•ARTICLE•The Lancet•2012

  • Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study

    Open Access•Sarah Kozey Keadle, Eric J Shiroma et al.•ARTICLE•BMC Public Health•2014

    Combining log-dates and the Choi algorithm was optimal, minimizing missing data and researcher burden. Estimates of time in physical activity and sedentary behavior are not directly comparable between V-axis and VM cut-points. These findings will inform consensus development for accelerometer data processing in ongoing epidemiologic studies

  • Physical inactivity and non-communicable disease burden in low-income, middle-income and high-income countries

    P T Katzmarzyk, Christine Friedenreich et al.•ARTICLE•British Journal of Sports Medicine•2022

    OBJECTIVES: Physical inactivity is a risk factor for premature mortality and several non-communicable diseases. The purpose of this study was to estimate the global burden associated with physical inactivity, and to examine differences by country income and region. METHODS: Population-level, prevalence-based population attributable risks (PAR) were calculated for 168 countries to estimate how much disease could be averted if physical inactivity w…

Medicine (3 obras) · Physical Activity and Health (3 obras) · Cardiovascular Effects of Exercise (2 obras) · Climate Change and Health Impacts (2 obras) · Disease (2 obras) · Disease burden (2 obras) · Environmental health (2 obras) · Non-communicable disease (2 obras) · Population (2 obras) · Accelerometer (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae