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.
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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. |
Brown, Betty G; Baldwin, Julie A; Walsh, Margaret L Health disparities among under-served populations: Implications for research, policy and praxis, pp. 3-47, Emerald Group Publishing Limited, 2012. @inbook{Brown2012, title = {Putting Tribal Nations First: Historical Trends, Current Needs, and Future Directions in Substance Use Prevention for American Indian and Alaska Native Youths}, author = {Betty G Brown and Julie A Baldwin and Margaret L Walsh}, url = {http://www.emeraldinsight.com/doi/pdfplus/10.1108/S1479-358X%282012%290000009006}, doi = {10.1108/S1479-358X(2012)0000009006}, year = {2012}, date = {2012-01-01}, booktitle = {Health disparities among under-served populations: Implications for research, policy and praxis}, journal = {Advances in Education in Diverse Communities: Research, Policy and Praxis}, pages = {3-47}, publisher = {Emerald Group Publishing Limited}, abstract = {Purpose – The purpose of this chapter is to provide a comprehensive overview of the substance use disparities among American Indian/Alaska Native (AI/AN) youth, the contributing factors to these disparities, proven and promising approaches through strengths-based methods, barriers to implementation of prevention and treatment efforts, and future recommendations for effective programs and research. Approach – We have conducted a thorough literature review of relevant research studies, as well as a review of government, tribal, and community-based curricula and resources. This review of programs is not exhaustive but provides several examples of best practices in the field and suggestions for future directions. Social implications – We strongly advocate that to accurately explore the true etiology of substance abuse and to respond to the concerns that AI/AN have prioritized, it is necessary to utilize a strengths-based approach and draw upon traditional AI/AN perspectives and values, and active community participation in the process. More specifically, prevention and treatment programs should use methods that incorporate elders or intergenerational approaches; foster individual and family skills-building; promote traditional healing methods to recognize and treat historical, cultural, and intergenerational and personal trauma; focus on early intervention; and tailor efforts to each Native nation or community. Value – Ultimately, to reduce substance abuse disparities in AI/AN youth, we must find better ways to merge traditional Native practices with western behavioral health to ensure cultural competency, as well as to develop mechanisms to effect system- and policy-level changes that reduce barriers to care and promote the well-being of AI/AN youth, families, and communities.}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } Purpose – The purpose of this chapter is to provide a comprehensive overview of the substance use disparities among American Indian/Alaska Native (AI/AN) youth, the contributing factors to these disparities, proven and promising approaches through strengths-based methods, barriers to implementation of prevention and treatment efforts, and future recommendations for effective programs and research. Approach – We have conducted a thorough literature review of relevant research studies, as well as a review of government, tribal, and community-based curricula and resources. This review of programs is not exhaustive but provides several examples of best practices in the field and suggestions for future directions. Social implications – We strongly advocate that to accurately explore the true etiology of substance abuse and to respond to the concerns that AI/AN have prioritized, it is necessary to utilize a strengths-based approach and draw upon traditional AI/AN perspectives and values, and active community participation in the process. More specifically, prevention and treatment programs should use methods that incorporate elders or intergenerational approaches; foster individual and family skills-building; promote traditional healing methods to recognize and treat historical, cultural, and intergenerational and personal trauma; focus on early intervention; and tailor efforts to each Native nation or community. Value – Ultimately, to reduce substance abuse disparities in AI/AN youth, we must find better ways to merge traditional Native practices with western behavioral health to ensure cultural competency, as well as to develop mechanisms to effect system- and policy-level changes that reduce barriers to care and promote the well-being of AI/AN youth, families, and communities. |
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. |
2012 |
Brown, Betty G; Baldwin, Julie A; Walsh, Margaret L Health disparities among under-served populations: Implications for research, policy and praxis, pp. 3-47, Emerald Group Publishing Limited, 2012. @inbook{Brown2012, title = {Putting Tribal Nations First: Historical Trends, Current Needs, and Future Directions in Substance Use Prevention for American Indian and Alaska Native Youths}, author = {Betty G Brown and Julie A Baldwin and Margaret L Walsh}, url = {http://www.emeraldinsight.com/doi/pdfplus/10.1108/S1479-358X%282012%290000009006}, doi = {10.1108/S1479-358X(2012)0000009006}, year = {2012}, date = {2012-01-01}, booktitle = {Health disparities among under-served populations: Implications for research, policy and praxis}, journal = {Advances in Education in Diverse Communities: Research, Policy and Praxis}, pages = {3-47}, publisher = {Emerald Group Publishing Limited}, abstract = {Purpose – The purpose of this chapter is to provide a comprehensive overview of the substance use disparities among American Indian/Alaska Native (AI/AN) youth, the contributing factors to these disparities, proven and promising approaches through strengths-based methods, barriers to implementation of prevention and treatment efforts, and future recommendations for effective programs and research. Approach – We have conducted a thorough literature review of relevant research studies, as well as a review of government, tribal, and community-based curricula and resources. This review of programs is not exhaustive but provides several examples of best practices in the field and suggestions for future directions. Social implications – We strongly advocate that to accurately explore the true etiology of substance abuse and to respond to the concerns that AI/AN have prioritized, it is necessary to utilize a strengths-based approach and draw upon traditional AI/AN perspectives and values, and active community participation in the process. More specifically, prevention and treatment programs should use methods that incorporate elders or intergenerational approaches; foster individual and family skills-building; promote traditional healing methods to recognize and treat historical, cultural, and intergenerational and personal trauma; focus on early intervention; and tailor efforts to each Native nation or community. Value – Ultimately, to reduce substance abuse disparities in AI/AN youth, we must find better ways to merge traditional Native practices with western behavioral health to ensure cultural competency, as well as to develop mechanisms to effect system- and policy-level changes that reduce barriers to care and promote the well-being of AI/AN youth, families, and communities.}, keywords = {}, pubstate = {published}, tppubtype = {inbook} } Purpose – The purpose of this chapter is to provide a comprehensive overview of the substance use disparities among American Indian/Alaska Native (AI/AN) youth, the contributing factors to these disparities, proven and promising approaches through strengths-based methods, barriers to implementation of prevention and treatment efforts, and future recommendations for effective programs and research. Approach – We have conducted a thorough literature review of relevant research studies, as well as a review of government, tribal, and community-based curricula and resources. This review of programs is not exhaustive but provides several examples of best practices in the field and suggestions for future directions. Social implications – We strongly advocate that to accurately explore the true etiology of substance abuse and to respond to the concerns that AI/AN have prioritized, it is necessary to utilize a strengths-based approach and draw upon traditional AI/AN perspectives and values, and active community participation in the process. More specifically, prevention and treatment programs should use methods that incorporate elders or intergenerational approaches; foster individual and family skills-building; promote traditional healing methods to recognize and treat historical, cultural, and intergenerational and personal trauma; focus on early intervention; and tailor efforts to each Native nation or community. Value – Ultimately, to reduce substance abuse disparities in AI/AN youth, we must find better ways to merge traditional Native practices with western behavioral health to ensure cultural competency, as well as to develop mechanisms to effect system- and policy-level changes that reduce barriers to care and promote the well-being of AI/AN youth, families, and communities. |