Rural Health
Resources by Topic: Obesity and weight control
The Differences in Characteristics Among Households With and Without Obese Children: Findings From USDA's FoodAPS
Examines characteristics of households with at least one obese child and without any obese children. Table 2 compares rural and urban household financial well-being, as it relates to obesity. Table 3 examines the food environment for rural households with and without obese children.
Author(s): Young Jo
Date: 09/2017
Sponsoring organization: USDA Economic Research Service
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Examines characteristics of households with at least one obese child and without any obese children. Table 2 compares rural and urban household financial well-being, as it relates to obesity. Table 3 examines the food environment for rural households with and without obese children.
Author(s): Young Jo
Date: 09/2017
Sponsoring organization: USDA Economic Research Service
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A Community-Based Marketing Campaign at Farmers Markets to Encourage Fruit and Vegetable Purchases in Rural Counties With High Rates of Obesity, Kentucky, 2015-2016
Examines effectiveness of the Plate it Up Kentucky Proud program, targeting farmers market shoppers in 6 rural Kentucky counties in the Delta and Appalachian regions, from September 2014-September 2016. Features statistics including age, sex, income, and rate of consumption of fruit, salad, and other vegetables.
Author(s): Emily DeWitt, Margaret McGladrey, Emily Liu, et al.
Citation: Preventing Chronic Disease, 14
Date: 08/2017
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Examines effectiveness of the Plate it Up Kentucky Proud program, targeting farmers market shoppers in 6 rural Kentucky counties in the Delta and Appalachian regions, from September 2014-September 2016. Features statistics including age, sex, income, and rate of consumption of fruit, salad, and other vegetables.
Author(s): Emily DeWitt, Margaret McGladrey, Emily Liu, et al.
Citation: Preventing Chronic Disease, 14
Date: 08/2017
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Health Conditions and Behaviors of Native Hawaiian and Pacific Islander Persons in the United States, 2014
Offers detailed statistics on health conditions and behaviors for the Native Hawaiian and Pacific Islander (NHPI) population and for multiple and single-race NHPI populations, with comparisons to other racial groups and to the U.S. population as a whole. Topics covered include general health status, specific health conditions, disabilities, body mass index, physical activity, and substance use.
Author(s): Adena M. Galinsky, Carla E. Zelaya, Catherine Simile, Patricia M. Barnes
Citation: Vital and Health Statistics, 3(40)
Date: 07/2017
Sponsoring organization: National Center for Health Statistics
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Offers detailed statistics on health conditions and behaviors for the Native Hawaiian and Pacific Islander (NHPI) population and for multiple and single-race NHPI populations, with comparisons to other racial groups and to the U.S. population as a whole. Topics covered include general health status, specific health conditions, disabilities, body mass index, physical activity, and substance use.
Author(s): Adena M. Galinsky, Carla E. Zelaya, Catherine Simile, Patricia M. Barnes
Citation: Vital and Health Statistics, 3(40)
Date: 07/2017
Sponsoring organization: National Center for Health Statistics
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Mass Media Campaign to Reduce Consumption of Sugar-Sweetened Beverages in a Rural Area of the United States
Results of a study in which messages about health risks associated with sugar-sweetened beverages (SSBs) were disseminated in 2015-2016 through television, digital channels, and local organizations, in 17 rural counties in Tennessee, Virginia, and Kentucky. Features statistics including comparisons of SSB sales in this area before and after the campaign.
Author(s): Thomas A. Farley, Hayli S. Halper, Anne M. Carlin, et al.
Citation: American Journal of Public Health, 107(6), 989-995
Date: 06/2017
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Results of a study in which messages about health risks associated with sugar-sweetened beverages (SSBs) were disseminated in 2015-2016 through television, digital channels, and local organizations, in 17 rural counties in Tennessee, Virginia, and Kentucky. Features statistics including comparisons of SSB sales in this area before and after the campaign.
Author(s): Thomas A. Farley, Hayli S. Halper, Anne M. Carlin, et al.
Citation: American Journal of Public Health, 107(6), 989-995
Date: 06/2017
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Track: A Randomized Controlled Trial of a Digital Health Obesity Treatment Intervention for Medically Vulnerable Primary Care Patients
Examines the effectiveness of Track, a digital health intervention, to provide obesity treatment to low-income, racial/ethnic minority adults with obesity and related comorbidities in rural North Carolina. Includes baseline characteristic data, such as gender, race/ethnicity, education, smoking status, and diagnosis.
Author(s): Perry Foley, Dori Steinberg, Erica Levine, et al.
Citation: Contemporary Clinical Trials, 48, 12-20
Date: 05/2017
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Examines the effectiveness of Track, a digital health intervention, to provide obesity treatment to low-income, racial/ethnic minority adults with obesity and related comorbidities in rural North Carolina. Includes baseline characteristic data, such as gender, race/ethnicity, education, smoking status, and diagnosis.
Author(s): Perry Foley, Dori Steinberg, Erica Levine, et al.
Citation: Contemporary Clinical Trials, 48, 12-20
Date: 05/2017
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Medical Barriers to Nursing Home Care for Rural Residents
Explores challenges faced by rural people seeking placement in nursing homes, especially those with behavioral or psychiatric conditions, complex care needs, dementia, or obesity, and identifies possible solutions through policy changes. Uses data from telephone interviews with 23 discharge planners from rural hospitals in Georgia, Idaho, Minnesota, Pennsylvania, and Wisconsin.
Author(s): Carrie Henning-Smith, Michelle Casey, Shailendra Prasad, Katy Kozhimannil
Date: 05/2017
Sponsoring organization: University of Minnesota Rural Health Research Center
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Explores challenges faced by rural people seeking placement in nursing homes, especially those with behavioral or psychiatric conditions, complex care needs, dementia, or obesity, and identifies possible solutions through policy changes. Uses data from telephone interviews with 23 discharge planners from rural hospitals in Georgia, Idaho, Minnesota, Pennsylvania, and Wisconsin.
Author(s): Carrie Henning-Smith, Michelle Casey, Shailendra Prasad, Katy Kozhimannil
Date: 05/2017
Sponsoring organization: University of Minnesota Rural Health Research Center
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Is Urban-Rural Location Associated With Weight Status in School Children? An Examination of 42 Small and Rural Californian Counties
Study examining differences in overweight and obesity in urban and rural California public school students during 2010-2011. Features statistics including age, sex, grade level, race or ethnicity, eligibility for free or reduced price lunches, and body mass index, with breakdowns by four levels of urban or rural school status.
Author(s): Ron Strochlic, Lauren E. Au, Lorrene Ritchie
Citation: Rural and Remote Health, 17(2), 3966
Date: 04/2017
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Study examining differences in overweight and obesity in urban and rural California public school students during 2010-2011. Features statistics including age, sex, grade level, race or ethnicity, eligibility for free or reduced price lunches, and body mass index, with breakdowns by four levels of urban or rural school status.
Author(s): Ron Strochlic, Lauren E. Au, Lorrene Ritchie
Citation: Rural and Remote Health, 17(2), 3966
Date: 04/2017
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Residing in Economically Distressed Rural Appalachia is Independently Associated with Excess Body Weight in College Students
Results of a study comparing body weights and obesity risks of college students aged 18-25 years, 55 of whom who were lifelong residents of rural Eastern Appalachian Kentucky and 54 from urban central Kentucky. Features statistics including age, education, sex, insurance status, household income, and health behaviors, with breakdowns by rural or urban status.
Author(s): Demetrius Abshire, Terry Lennie, Gia Mudd-Martin, Debra Moser
Citation: Rural and Remote Health, 17(1), 3984
Date: 03/2017
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Results of a study comparing body weights and obesity risks of college students aged 18-25 years, 55 of whom who were lifelong residents of rural Eastern Appalachian Kentucky and 54 from urban central Kentucky. Features statistics including age, education, sex, insurance status, household income, and health behaviors, with breakdowns by rural or urban status.
Author(s): Demetrius Abshire, Terry Lennie, Gia Mudd-Martin, Debra Moser
Citation: Rural and Remote Health, 17(1), 3984
Date: 03/2017
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Disparities in Supports for Student Wellness Promotion Efforts among Secondary Schools in Minnesota
Examines student wellness promotion in rural, urban, and suburban secondary schools in Minnesota using National Center for Education Statistics Common Core and 2012 Minnesota School Health Profiles survey data on 309 schools. Discusses school characteristics, prevalence of dietary and weight management issues among secondary students, and disparities between rural and urban populations.
Author(s): Nicole Larson, Michael O'Connell, Cynthia S. Davey, et al.
Citation: Journal of School Health, 87(2), 90-97
Date: 02/2017
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Examines student wellness promotion in rural, urban, and suburban secondary schools in Minnesota using National Center for Education Statistics Common Core and 2012 Minnesota School Health Profiles survey data on 309 schools. Discusses school characteristics, prevalence of dietary and weight management issues among secondary students, and disparities between rural and urban populations.
Author(s): Nicole Larson, Michael O'Connell, Cynthia S. Davey, et al.
Citation: Journal of School Health, 87(2), 90-97
Date: 02/2017
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Health-Related Behaviors by Urban-Rural County Classification — United States, 2013
Provides data on five self-reported health-related behaviors for residents of rural and urban areas. Behaviors include sufficient sleep, current nonsmoking, nondrinking or moderate drinking, maintaining normal body weight, and meeting aerobic leisure time physical activity recommendations. Includes data for each behavior for metropolitan, micropolitan, and noncore (rural) areas, as well as prevalence of 4-5 health behaviors by sex, age, race/ethnicity, and education level. Based on 2013 Behavioral Risk Factor Surveillance System (BRFSS) data.
Author(s): Kevin A. Matthews, Janet B. Croft, Yong Liu, et al.
Citation: MMWR Surveillance Summaries, 66(5), 1-8
Date: 02/2017
Sponsoring organization: Centers for Disease Control and Prevention
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Provides data on five self-reported health-related behaviors for residents of rural and urban areas. Behaviors include sufficient sleep, current nonsmoking, nondrinking or moderate drinking, maintaining normal body weight, and meeting aerobic leisure time physical activity recommendations. Includes data for each behavior for metropolitan, micropolitan, and noncore (rural) areas, as well as prevalence of 4-5 health behaviors by sex, age, race/ethnicity, and education level. Based on 2013 Behavioral Risk Factor Surveillance System (BRFSS) data.
Author(s): Kevin A. Matthews, Janet B. Croft, Yong Liu, et al.
Citation: MMWR Surveillance Summaries, 66(5), 1-8
Date: 02/2017
Sponsoring organization: Centers for Disease Control and Prevention
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