Recruitment and participation of recreational runners in a large epidemiological and genetic research study: Retrospective data analysis

Silvia Manzanero; Maria Kozlovskaia; Nicole Vlahovich; David C. Hughes

doi:10.2196/resprot.8243

Recruitment and participation of recreational runners in a large epidemiological and genetic research study: Retrospective data analysis

Silvia Manzanero, Maria Kozlovskaia, Nicole Vlahovich, David C. Hughes^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Original language	English
Article number	e141
Journal	JMIR Research Protocols
Volume	20
Issue number	5
DOIs	https://doi.org/10.2196/resprot.8243
Publication status	Published (VoR) - May 2018

Keywords

Community participation
Epidemiologic methods
Genetic research
Informed consent

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10.2196/resprot.8243

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title = "Recruitment and participation of recreational runners in a large epidemiological and genetic research study: Retrospective data analysis",

keywords = "Community participation, Epidemiologic methods, Genetic research, Informed consent",

author = "Silvia Manzanero and Maria Kozlovskaia and Nicole Vlahovich and Hughes, {David C.}",

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year = "2018",

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language = "English",

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T1 - Recruitment and participation of recreational runners in a large epidemiological and genetic research study

T2 - Retrospective data analysis

AU - Manzanero, Silvia

AU - Kozlovskaia, Maria

AU - Vlahovich, Nicole

AU - Hughes, David C.

N1 - Publisher Copyright: © Silvia Manzanero, Maria Kozlovskaia, Nicole Vlahovich, David C Hughes.

PY - 2018/5

Y1 - 2018/5

KW - Community participation

KW - Epidemiologic methods

KW - Genetic research

KW - Informed consent

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U2 - 10.2196/resprot.8243

DO - 10.2196/resprot.8243

M3 - Article

AN - SCOPUS:85096028718

SN - 1929-0748

VL - 20

JO - JMIR Research Protocols

JF - JMIR Research Protocols

IS - 5

M1 - e141

ER -

Recruitment and participation of recreational runners in a large epidemiological and genetic research study: Retrospective data analysis

Keywords

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