NAU publications by CHER
Faculty & staff publications
NAU faculty and staff have the opportunity to publish their findings and knowledge as authors. CHER has many researchers that have been cited multiple times in major publications for their great work. The Center for Health Equity Research has accumulated all faculty publications into one, easy to navigate database.
Please type in a key word or author LAST name to search
Lininger, Monica; Root, H J; Camplain, Ricky; Barger, S Describing the appropriate use and interpretation of odds and risk ratios Journal Article Research in Sports Medicina, 2022. @article{Lininger2022b, title = {Describing the appropriate use and interpretation of odds and risk ratios}, author = {Monica Lininger and H.J. Root and Ricky Camplain and S. Barger}, url = {https://doi.org/10.1080/15438627.2022.2132861}, doi = {10.1080/15438627.2022.2132861}, year = {2022}, date = {2022-10-10}, journal = {Research in Sports Medicina}, abstract = {In sport medicine, epidemiology of sport-related injury provides the foundation for understanding what types of injuries and illnesses occur and who is at the highest risk. Thus, accurate and transparent reporting and interpretation of risk metrics is essential to sports epidemiology. Odds ratios (OR) and risk ratios (RR) are two statistics used to quantify the association between exposure and outcome and are frequently seen in sports medicine literature. While similarities exist, there are optimal ways to use and interpret OR and RR based on the study design and outcome incidence in the target population. In this short communication, we will present common study designs (e.g. prospective cohort, case-control, cross-sectional) along with recommendations for the use and interpretation of OR and RR. This will ultimately assist partitioners in choosing and interpreting these frequently confused measures of association and also help journal reviewers better understand the appropriate use of these measures when evaluating a manuscript.}, keywords = {}, pubstate = {published}, tppubtype = {article} } In sport medicine, epidemiology of sport-related injury provides the foundation for understanding what types of injuries and illnesses occur and who is at the highest risk. Thus, accurate and transparent reporting and interpretation of risk metrics is essential to sports epidemiology. Odds ratios (OR) and risk ratios (RR) are two statistics used to quantify the association between exposure and outcome and are frequently seen in sports medicine literature. While similarities exist, there are optimal ways to use and interpret OR and RR based on the study design and outcome incidence in the target population. In this short communication, we will present common study designs (e.g. prospective cohort, case-control, cross-sectional) along with recommendations for the use and interpretation of OR and RR. This will ultimately assist partitioners in choosing and interpreting these frequently confused measures of association and also help journal reviewers better understand the appropriate use of these measures when evaluating a manuscript. |
Pro, George; Schumacher, Krista; Hubach, Randolph; Zaller, Nickolas; Giano, Zachary; Camplain, Ricky; Camplain, Carolyn; Haberstroh, Shane; Baldwin, Julie A; Wheeler, Denna L US trends in mask wearing during the COVID-19 pandemic depend on rurality Journal Article Rural and Remote Health, 21 , 2021. @article{Pro2021, title = {US trends in mask wearing during the COVID-19 pandemic depend on rurality}, author = {George Pro and Krista Schumacher and Randolph Hubach and Nickolas Zaller and Zachary Giano and Ricky Camplain and Carolyn Camplain and Shane Haberstroh and Julie A Baldwin and Denna L Wheeler}, url = {https://doi.org/10.22605/RRH6596}, doi = {10.22605/RRH6596}, year = {2021}, date = {2021-05-04}, journal = {Rural and Remote Health}, volume = {21}, abstract = {Face masks are widely recommended as a COVID-19 prevention strategy. State mask mandates have generally reduced the spread of the disease, but decisions to wear a mask depend on many factors. Recent increases in case rates in rural areas following initial outbreaks in more densely populated areas highlight the need to focus on prevention and education. Messaging about disease risk has faced challenges in rural areas in the past. While surges in cases within some communities are likely an impetus for behavior change, rising case rates likely explain only part of mask-wearing decisions. The current study examined the relationship between county-level indicators of rurality and mask wearing in the USA. National data from the New York Times’ COVID-19 cross-sectional mask survey was used to identify the percentage of a county’s residents who reported always/frequently wearing a mask (2–14 July 2020). The New York Times’ COVID-19 data repository was used to calculate county-level daily case rates for the 2 weeks preceding the mask survey (15 June – 1 July 2020), and defined county rurality using the Index of Relative Rurality (n=3103 counties). Multivariate linear regression was used to predict mask wearing across levels of rurality. The model was adjusted for daily case rates and other relevant county-level confounders, including county-level indicators of age, race/ethnicity, gender, political partisanship, income inequality, and whether each county was subject to a statewide mask mandate. Large clusters of counties with high rurality and low mask wearing were observed in the Midwest, upper Midwest, and mountainous West. Holding daily case rates and other county characteristics constant, the predicted probability of wearing a mask decreased significantly as counties became more rural (β=–0.560; p<0.0001). Conclusion: Upticks in COVID-19 cases and deaths in rural areas are expected to continue, and localized outbreaks will likely occur indefinitely. The present findings highlight the need to better understand the mechanisms underlying perceptions of COVID-19 risk in rural areas. Dissemination of scientifically correct and consistent information is critical during national emergencies.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Face masks are widely recommended as a COVID-19 prevention strategy. State mask mandates have generally reduced the spread of the disease, but decisions to wear a mask depend on many factors. Recent increases in case rates in rural areas following initial outbreaks in more densely populated areas highlight the need to focus on prevention and education. Messaging about disease risk has faced challenges in rural areas in the past. While surges in cases within some communities are likely an impetus for behavior change, rising case rates likely explain only part of mask-wearing decisions. The current study examined the relationship between county-level indicators of rurality and mask wearing in the USA. National data from the New York Times’ COVID-19 cross-sectional mask survey was used to identify the percentage of a county’s residents who reported always/frequently wearing a mask (2–14 July 2020). The New York Times’ COVID-19 data repository was used to calculate county-level daily case rates for the 2 weeks preceding the mask survey (15 June – 1 July 2020), and defined county rurality using the Index of Relative Rurality (n=3103 counties). Multivariate linear regression was used to predict mask wearing across levels of rurality. The model was adjusted for daily case rates and other relevant county-level confounders, including county-level indicators of age, race/ethnicity, gender, political partisanship, income inequality, and whether each county was subject to a statewide mask mandate. Large clusters of counties with high rurality and low mask wearing were observed in the Midwest, upper Midwest, and mountainous West. Holding daily case rates and other county characteristics constant, the predicted probability of wearing a mask decreased significantly as counties became more rural (β=–0.560; p<0.0001). Conclusion: Upticks in COVID-19 cases and deaths in rural areas are expected to continue, and localized outbreaks will likely occur indefinitely. The present findings highlight the need to better understand the mechanisms underlying perceptions of COVID-19 risk in rural areas. Dissemination of scientifically correct and consistent information is critical during national emergencies. |
Salinas-Miranda, Abraham; King, Lindsey M; Salihu, Hamisu M; Berry, Estrellita; Austin, Deborah; Nash, Susan; Scarborough, Kenneth; Best, Evangeline; Cox, Lillian; King, Georgette; Hepburn, Carrie; Burpee, Conchita; Richardson, Eugene; Ducket, Marlo; Briscoe, Richard; Baldwin, Julie A Exploring the life course perspective in maternal and child health through community-based participatory focus groups: Social risk assessment Journal Article Journal of Health Disparities Research and Practice, 10 (1), pp. 143-166, 2017. @article{Salinas-Miranda2017, title = {Exploring the life course perspective in maternal and child health through community-based participatory focus groups: Social risk assessment}, author = {Abraham Salinas-Miranda and Lindsey M King and Hamisu M Salihu and Estrellita Berry and Deborah Austin and Susan Nash and Kenneth Scarborough and Evangeline Best and Lillian Cox and Georgette King and Carrie Hepburn and Conchita Burpee and Eugene Richardson and Marlo Ducket and Richard Briscoe and Julie A Baldwin}, url = {https://digitalscholarship.unlv.edu/jhdrp/vol10/iss1/9/}, year = {2017}, date = {2017-04-20}, journal = {Journal of Health Disparities Research and Practice}, volume = {10}, number = {1}, pages = {143-166}, abstract = {Little is known about the patterns of risk factors experienced by communities of color and how diverse community contexts shape the health trajectory of women from the early childhood period to the time of their pregnancies. Thus, we conducted a focus group study to identify social risks over the life course that contribute to maternal and child health from the perspective of community members residing in low income urban areas. Ten community-based participatory focus groups were conducted with residents from selected communities in Tampa, Florida, from September to November 2013. We used the life course perspective to illuminate and explain the experiences reported by the interviewees. A total of 78 residents participated in the focus groups. Children and adolescents’ health risks were childhood obesity, lack of physical activity, and low self-esteem. Women’s health risks were low self-esteem, low educational level, low health literacy, inadequate parenting skills, and financial problems. Risks during pregnancy included stress, low self-esteem, inadequate eating patterns, lack of physical activity, healthcare issues, lack of social support, and lack of father involvement during pregnancy. Multiple risk factors contribute to maternal and child health in low income communities in Tampa Bay. The intersection of risk factors in different life periods suggest possible pathways, cumulative, and latent effects, which must be considered in future longitudinal studies and when developing effective maternal and child health programs and policies.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Little is known about the patterns of risk factors experienced by communities of color and how diverse community contexts shape the health trajectory of women from the early childhood period to the time of their pregnancies. Thus, we conducted a focus group study to identify social risks over the life course that contribute to maternal and child health from the perspective of community members residing in low income urban areas. Ten community-based participatory focus groups were conducted with residents from selected communities in Tampa, Florida, from September to November 2013. We used the life course perspective to illuminate and explain the experiences reported by the interviewees. A total of 78 residents participated in the focus groups. Children and adolescents’ health risks were childhood obesity, lack of physical activity, and low self-esteem. Women’s health risks were low self-esteem, low educational level, low health literacy, inadequate parenting skills, and financial problems. Risks during pregnancy included stress, low self-esteem, inadequate eating patterns, lack of physical activity, healthcare issues, lack of social support, and lack of father involvement during pregnancy. Multiple risk factors contribute to maternal and child health in low income communities in Tampa Bay. The intersection of risk factors in different life periods suggest possible pathways, cumulative, and latent effects, which must be considered in future longitudinal studies and when developing effective maternal and child health programs and policies. |
Evenson, Kelly R; Dorn, Joan M; Camplain, Ricky; Pate, Russell R; Brown, David R Evaluation of the Physical Activity and Public Health Course for Researchers Journal Article Journal of Physical Activity and Health, 12 (8), pp. 1052-1060, 2015, ISBN: 1543-3080. @article{Evenson2015, title = {Evaluation of the Physical Activity and Public Health Course for Researchers}, author = {Kelly R Evenson and Joan M Dorn and Ricky Camplain and Russell R Pate and David R Brown}, url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949596/}, doi = {10.1123/jpah.2014-0284}, isbn = {1543-3080}, year = {2015}, date = {2015-08-01}, journal = {Journal of Physical Activity and Health}, volume = {12}, number = {8}, pages = {1052-1060}, abstract = {Background Since 1995, an 8-day Physical Activity and Public Health Course for Researchers has been offered yearly in the United States. Methods In 2013, an evaluation quantified time that fellows spent in different course offerings, surveyed fellows on course impact, documented grant funding, and identified fellow participation on leading physical activity-related journals. Results The number of fellows that attended the course ranged from 20–35/year. Fellows who participated in the web survey (n=322) agreed that the course: met their expectations (99%), had a positive impact on the physical activity research or practice work they did (98%), and helped increase their professional networking in the field (93%). Following the course, 73% of fellows had further contact with course faculty and 71% had further contact with other fellows. From the National Institutes of Health, 117 grants were awarded to 82 fellows (21% of eligible fellows). Out of 14 journals reviewed, 11 had at least one fellow on their staff as editor, associate editor, or editorial board member. Conclusion The Physical Activity and Public Health Course for Researchers helps address a training need by providing instruction and building capacity in the US and abroad for conducting research on physical activity and public health.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Background Since 1995, an 8-day Physical Activity and Public Health Course for Researchers has been offered yearly in the United States. Methods In 2013, an evaluation quantified time that fellows spent in different course offerings, surveyed fellows on course impact, documented grant funding, and identified fellow participation on leading physical activity-related journals. Results The number of fellows that attended the course ranged from 20–35/year. Fellows who participated in the web survey (n=322) agreed that the course: met their expectations (99%), had a positive impact on the physical activity research or practice work they did (98%), and helped increase their professional networking in the field (93%). Following the course, 73% of fellows had further contact with course faculty and 71% had further contact with other fellows. From the National Institutes of Health, 117 grants were awarded to 82 fellows (21% of eligible fellows). Out of 14 journals reviewed, 11 had at least one fellow on their staff as editor, associate editor, or editorial board member. Conclusion The Physical Activity and Public Health Course for Researchers helps address a training need by providing instruction and building capacity in the US and abroad for conducting research on physical activity and public health. |
2022 |
Lininger, Monica; Root, H J; Camplain, Ricky; Barger, S Describing the appropriate use and interpretation of odds and risk ratios Journal Article Research in Sports Medicina, 2022. @article{Lininger2022b, title = {Describing the appropriate use and interpretation of odds and risk ratios}, author = {Monica Lininger and H.J. Root and Ricky Camplain and S. Barger}, url = {https://doi.org/10.1080/15438627.2022.2132861}, doi = {10.1080/15438627.2022.2132861}, year = {2022}, date = {2022-10-10}, journal = {Research in Sports Medicina}, abstract = {In sport medicine, epidemiology of sport-related injury provides the foundation for understanding what types of injuries and illnesses occur and who is at the highest risk. Thus, accurate and transparent reporting and interpretation of risk metrics is essential to sports epidemiology. Odds ratios (OR) and risk ratios (RR) are two statistics used to quantify the association between exposure and outcome and are frequently seen in sports medicine literature. While similarities exist, there are optimal ways to use and interpret OR and RR based on the study design and outcome incidence in the target population. In this short communication, we will present common study designs (e.g. prospective cohort, case-control, cross-sectional) along with recommendations for the use and interpretation of OR and RR. This will ultimately assist partitioners in choosing and interpreting these frequently confused measures of association and also help journal reviewers better understand the appropriate use of these measures when evaluating a manuscript.}, keywords = {}, pubstate = {published}, tppubtype = {article} } In sport medicine, epidemiology of sport-related injury provides the foundation for understanding what types of injuries and illnesses occur and who is at the highest risk. Thus, accurate and transparent reporting and interpretation of risk metrics is essential to sports epidemiology. Odds ratios (OR) and risk ratios (RR) are two statistics used to quantify the association between exposure and outcome and are frequently seen in sports medicine literature. While similarities exist, there are optimal ways to use and interpret OR and RR based on the study design and outcome incidence in the target population. In this short communication, we will present common study designs (e.g. prospective cohort, case-control, cross-sectional) along with recommendations for the use and interpretation of OR and RR. This will ultimately assist partitioners in choosing and interpreting these frequently confused measures of association and also help journal reviewers better understand the appropriate use of these measures when evaluating a manuscript. |
2021 |
Pro, George; Schumacher, Krista; Hubach, Randolph; Zaller, Nickolas; Giano, Zachary; Camplain, Ricky; Camplain, Carolyn; Haberstroh, Shane; Baldwin, Julie A; Wheeler, Denna L US trends in mask wearing during the COVID-19 pandemic depend on rurality Journal Article Rural and Remote Health, 21 , 2021. @article{Pro2021, title = {US trends in mask wearing during the COVID-19 pandemic depend on rurality}, author = {George Pro and Krista Schumacher and Randolph Hubach and Nickolas Zaller and Zachary Giano and Ricky Camplain and Carolyn Camplain and Shane Haberstroh and Julie A Baldwin and Denna L Wheeler}, url = {https://doi.org/10.22605/RRH6596}, doi = {10.22605/RRH6596}, year = {2021}, date = {2021-05-04}, journal = {Rural and Remote Health}, volume = {21}, abstract = {Face masks are widely recommended as a COVID-19 prevention strategy. State mask mandates have generally reduced the spread of the disease, but decisions to wear a mask depend on many factors. Recent increases in case rates in rural areas following initial outbreaks in more densely populated areas highlight the need to focus on prevention and education. Messaging about disease risk has faced challenges in rural areas in the past. While surges in cases within some communities are likely an impetus for behavior change, rising case rates likely explain only part of mask-wearing decisions. The current study examined the relationship between county-level indicators of rurality and mask wearing in the USA. National data from the New York Times’ COVID-19 cross-sectional mask survey was used to identify the percentage of a county’s residents who reported always/frequently wearing a mask (2–14 July 2020). The New York Times’ COVID-19 data repository was used to calculate county-level daily case rates for the 2 weeks preceding the mask survey (15 June – 1 July 2020), and defined county rurality using the Index of Relative Rurality (n=3103 counties). Multivariate linear regression was used to predict mask wearing across levels of rurality. The model was adjusted for daily case rates and other relevant county-level confounders, including county-level indicators of age, race/ethnicity, gender, political partisanship, income inequality, and whether each county was subject to a statewide mask mandate. Large clusters of counties with high rurality and low mask wearing were observed in the Midwest, upper Midwest, and mountainous West. Holding daily case rates and other county characteristics constant, the predicted probability of wearing a mask decreased significantly as counties became more rural (β=–0.560; p<0.0001). Conclusion: Upticks in COVID-19 cases and deaths in rural areas are expected to continue, and localized outbreaks will likely occur indefinitely. The present findings highlight the need to better understand the mechanisms underlying perceptions of COVID-19 risk in rural areas. Dissemination of scientifically correct and consistent information is critical during national emergencies.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Face masks are widely recommended as a COVID-19 prevention strategy. State mask mandates have generally reduced the spread of the disease, but decisions to wear a mask depend on many factors. Recent increases in case rates in rural areas following initial outbreaks in more densely populated areas highlight the need to focus on prevention and education. Messaging about disease risk has faced challenges in rural areas in the past. While surges in cases within some communities are likely an impetus for behavior change, rising case rates likely explain only part of mask-wearing decisions. The current study examined the relationship between county-level indicators of rurality and mask wearing in the USA. National data from the New York Times’ COVID-19 cross-sectional mask survey was used to identify the percentage of a county’s residents who reported always/frequently wearing a mask (2–14 July 2020). The New York Times’ COVID-19 data repository was used to calculate county-level daily case rates for the 2 weeks preceding the mask survey (15 June – 1 July 2020), and defined county rurality using the Index of Relative Rurality (n=3103 counties). Multivariate linear regression was used to predict mask wearing across levels of rurality. The model was adjusted for daily case rates and other relevant county-level confounders, including county-level indicators of age, race/ethnicity, gender, political partisanship, income inequality, and whether each county was subject to a statewide mask mandate. Large clusters of counties with high rurality and low mask wearing were observed in the Midwest, upper Midwest, and mountainous West. Holding daily case rates and other county characteristics constant, the predicted probability of wearing a mask decreased significantly as counties became more rural (β=–0.560; p<0.0001). Conclusion: Upticks in COVID-19 cases and deaths in rural areas are expected to continue, and localized outbreaks will likely occur indefinitely. The present findings highlight the need to better understand the mechanisms underlying perceptions of COVID-19 risk in rural areas. Dissemination of scientifically correct and consistent information is critical during national emergencies. |
2017 |
Salinas-Miranda, Abraham; King, Lindsey M; Salihu, Hamisu M; Berry, Estrellita; Austin, Deborah; Nash, Susan; Scarborough, Kenneth; Best, Evangeline; Cox, Lillian; King, Georgette; Hepburn, Carrie; Burpee, Conchita; Richardson, Eugene; Ducket, Marlo; Briscoe, Richard; Baldwin, Julie A Exploring the life course perspective in maternal and child health through community-based participatory focus groups: Social risk assessment Journal Article Journal of Health Disparities Research and Practice, 10 (1), pp. 143-166, 2017. @article{Salinas-Miranda2017, title = {Exploring the life course perspective in maternal and child health through community-based participatory focus groups: Social risk assessment}, author = {Abraham Salinas-Miranda and Lindsey M King and Hamisu M Salihu and Estrellita Berry and Deborah Austin and Susan Nash and Kenneth Scarborough and Evangeline Best and Lillian Cox and Georgette King and Carrie Hepburn and Conchita Burpee and Eugene Richardson and Marlo Ducket and Richard Briscoe and Julie A Baldwin}, url = {https://digitalscholarship.unlv.edu/jhdrp/vol10/iss1/9/}, year = {2017}, date = {2017-04-20}, journal = {Journal of Health Disparities Research and Practice}, volume = {10}, number = {1}, pages = {143-166}, abstract = {Little is known about the patterns of risk factors experienced by communities of color and how diverse community contexts shape the health trajectory of women from the early childhood period to the time of their pregnancies. Thus, we conducted a focus group study to identify social risks over the life course that contribute to maternal and child health from the perspective of community members residing in low income urban areas. Ten community-based participatory focus groups were conducted with residents from selected communities in Tampa, Florida, from September to November 2013. We used the life course perspective to illuminate and explain the experiences reported by the interviewees. A total of 78 residents participated in the focus groups. Children and adolescents’ health risks were childhood obesity, lack of physical activity, and low self-esteem. Women’s health risks were low self-esteem, low educational level, low health literacy, inadequate parenting skills, and financial problems. Risks during pregnancy included stress, low self-esteem, inadequate eating patterns, lack of physical activity, healthcare issues, lack of social support, and lack of father involvement during pregnancy. Multiple risk factors contribute to maternal and child health in low income communities in Tampa Bay. The intersection of risk factors in different life periods suggest possible pathways, cumulative, and latent effects, which must be considered in future longitudinal studies and when developing effective maternal and child health programs and policies.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Little is known about the patterns of risk factors experienced by communities of color and how diverse community contexts shape the health trajectory of women from the early childhood period to the time of their pregnancies. Thus, we conducted a focus group study to identify social risks over the life course that contribute to maternal and child health from the perspective of community members residing in low income urban areas. Ten community-based participatory focus groups were conducted with residents from selected communities in Tampa, Florida, from September to November 2013. We used the life course perspective to illuminate and explain the experiences reported by the interviewees. A total of 78 residents participated in the focus groups. Children and adolescents’ health risks were childhood obesity, lack of physical activity, and low self-esteem. Women’s health risks were low self-esteem, low educational level, low health literacy, inadequate parenting skills, and financial problems. Risks during pregnancy included stress, low self-esteem, inadequate eating patterns, lack of physical activity, healthcare issues, lack of social support, and lack of father involvement during pregnancy. Multiple risk factors contribute to maternal and child health in low income communities in Tampa Bay. The intersection of risk factors in different life periods suggest possible pathways, cumulative, and latent effects, which must be considered in future longitudinal studies and when developing effective maternal and child health programs and policies. |
2015 |
Evenson, Kelly R; Dorn, Joan M; Camplain, Ricky; Pate, Russell R; Brown, David R Evaluation of the Physical Activity and Public Health Course for Researchers Journal Article Journal of Physical Activity and Health, 12 (8), pp. 1052-1060, 2015, ISBN: 1543-3080. @article{Evenson2015, title = {Evaluation of the Physical Activity and Public Health Course for Researchers}, author = {Kelly R Evenson and Joan M Dorn and Ricky Camplain and Russell R Pate and David R Brown}, url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4949596/}, doi = {10.1123/jpah.2014-0284}, isbn = {1543-3080}, year = {2015}, date = {2015-08-01}, journal = {Journal of Physical Activity and Health}, volume = {12}, number = {8}, pages = {1052-1060}, abstract = {Background Since 1995, an 8-day Physical Activity and Public Health Course for Researchers has been offered yearly in the United States. Methods In 2013, an evaluation quantified time that fellows spent in different course offerings, surveyed fellows on course impact, documented grant funding, and identified fellow participation on leading physical activity-related journals. Results The number of fellows that attended the course ranged from 20–35/year. Fellows who participated in the web survey (n=322) agreed that the course: met their expectations (99%), had a positive impact on the physical activity research or practice work they did (98%), and helped increase their professional networking in the field (93%). Following the course, 73% of fellows had further contact with course faculty and 71% had further contact with other fellows. From the National Institutes of Health, 117 grants were awarded to 82 fellows (21% of eligible fellows). Out of 14 journals reviewed, 11 had at least one fellow on their staff as editor, associate editor, or editorial board member. Conclusion The Physical Activity and Public Health Course for Researchers helps address a training need by providing instruction and building capacity in the US and abroad for conducting research on physical activity and public health.}, keywords = {}, pubstate = {published}, tppubtype = {article} } Background Since 1995, an 8-day Physical Activity and Public Health Course for Researchers has been offered yearly in the United States. Methods In 2013, an evaluation quantified time that fellows spent in different course offerings, surveyed fellows on course impact, documented grant funding, and identified fellow participation on leading physical activity-related journals. Results The number of fellows that attended the course ranged from 20–35/year. Fellows who participated in the web survey (n=322) agreed that the course: met their expectations (99%), had a positive impact on the physical activity research or practice work they did (98%), and helped increase their professional networking in the field (93%). Following the course, 73% of fellows had further contact with course faculty and 71% had further contact with other fellows. From the National Institutes of Health, 117 grants were awarded to 82 fellows (21% of eligible fellows). Out of 14 journals reviewed, 11 had at least one fellow on their staff as editor, associate editor, or editorial board member. Conclusion The Physical Activity and Public Health Course for Researchers helps address a training need by providing instruction and building capacity in the US and abroad for conducting research on physical activity and public health. |