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Farzad Noubary on Muck Rack

Farzad Noubary

As seen in: PLOS ONE, BMJ Open, The International Journal of Behavioral Nutrition and Physical Activity
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Articles

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By Amy Lu Verified, Tom Baranowski, Tiago Barreira, Melanie Green, Shirley Huang, I-Min Lee, Lynne L. Levitsky, Farzad Noubary
| The International Journal of Behavioral Nutrition and Physical Activity Verified
While the primary outcome, daily MVPA, did not show significant changes over time within each condition, the hypothesis received partial support from the post-hoc exploratory analysis. The [Narrative + AVG] group demonstrated more daily MVPA than the [Waitlist Control] group in the first half of the RCT. Interestingly, the [AVG Only] condition experienced less lean mass gain and lower HDL cholesterol levels compared to the [Waitlist Control] in the first half of the intervention.
Open in Who Shared Issue with article?

Virological, serological and clinical outcomes in chronic hepatitis B virus infection: development and validation of the HEPA-B simulation model

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By Amir M Mohareb, Arthur Kim, Anders Boyd, Farzad Noubary
| BMJ Open Verified
Virological, serological and clinical outcomes in chronic hepatitis B virus infection: development and validation of the HEPA-B simulation model Statistics from Altmetric.com Request Permissions If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.
Open in Who Shared View Duplicates (2) Issue with article?

Longitudinal transitions in initiation, cessation, and relapse of cigarette smoking and e-cigarette use among US youth and adults: Validation of a microsimulation model

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By Farzad Noubary, Bouve College, Nancy A Rigotti, Eli Schwamm
| PLOS ONE
Transitions in cigarette smoking and e-cig use Table 1 indicates PATH-derived hazard rates for each of the transitions in cigarette smoking and e-cig use for females ages 12–17 years, as well as the transition hazard rate ratios for different age groups (18–24 years, 25–44 years, and ≥45 years) and for males compared with females. Fig 3 indicates annual cumulative transition probabilities between various states of cigarette smoking and e-cig use among youth (panel a) and adults (panel b).
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