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1.
Am J Health Behav ; 31(1): 35-43, 2007.
Article in English | MEDLINE | ID: mdl-17181460

ABSTRACT

OBJECTIVES: To evaluate Cookin' Up Health, a computer-based interactive nutrition intervention. METHODS: After randomization to intervention and control groups, 262 women in rural clinics in West Virginia completed both a baseline and 3-month follow-up survey. RESULTS: Compared to the control group, the intervention group had significantly improved scores on knowledge of dietary fats, food label reading, and readiness to eat 5 fruits and vegetables a day and foods lower in fat. CONCLUSIONS: This brief interactive nutrition intervention shows potential as a strategy to begin the process of change, but follow-up may be needed for actual behavior change to occur.


Subject(s)
Computer-Assisted Instruction , Feeding Behavior , Food Preferences , Health Education , Poverty , Rural Population , Adult , Aged , Cardiovascular Diseases/diet therapy , Cardiovascular Diseases/prevention & control , Cooking , Female , Follow-Up Studies , Food Labeling , Humans , Medically Underserved Area , Middle Aged , Nutrition Surveys , Nutritional Requirements , Nutritive Value , Primary Health Care , Software , West Virginia
2.
Prev Chronic Dis ; 3(4): A123, 2006 Oct.
Article in English | MEDLINE | ID: mdl-16978498

ABSTRACT

INTRODUCTION: This study examined knowledge about and barriers to colorectal cancer screening and predictors of screening adherence among members from 16 Appalachian churches as part of a larger study on the prevention and early detection of colorectal cancer. METHODS: Baseline data were collected on 839 respondents aged 50 years and older through a self-administered survey, and 23 focus groups were conducted with 205 church members RESULTS: Survey results showed that older age, male sex, being current for other cancer screening, being physically active, having perceived support from others for screening, better provider communication, knowledge about screening guidelines, greater perceived susceptibility to colorectal cancer, and a family history of the disease were predictors of screening adherence. Major barriers to screening in both surveys and focus groups were failure of providers to recommend screening, lack of knowledge about the need for screening, and the belief that screening was not necessary without symptoms. Fear of cancer, lack of knowledge about screening methods other than colonoscopy, reliance on physicians for screening information, and the need for people to feel at risk for screening to occur were other findings from the focus groups. Focus groups supported survey findings and provided further insights. CONCLUSION: Several factors predictive of colorectal cancer screening in this study can be modified through educational interventions. Recognizing and changing risk factors for colorectal cancer, raising awareness of screening guidelines, and encouraging adults aged 50 years and older to discuss screening with their health care provider could increase colorectal cancer screening.


Subject(s)
Colorectal Neoplasms/diagnosis , Health Knowledge, Attitudes, Practice , Health Services Accessibility , Mass Screening/psychology , Aged , Aged, 80 and over , Appalachian Region , Chi-Square Distribution , Community Networks , Female , Focus Groups , Geriatric Assessment , Guideline Adherence , Humans , Male , Middle Aged , Nutrition Assessment , Surveys and Questionnaires , West Virginia
3.
Health Promot Pract ; 7(2): 252-7, 2006 Apr.
Article in English | MEDLINE | ID: mdl-16585148

ABSTRACT

Cookin' Up Health is a culturally targeted and individualized tailored nutrition intervention using a computer-based interactive format. Using a cooking show theme, the program demonstrates step-by-step meal preparation emphasizing healthy selection and portion control. Focus groups were conducted with women in two rural counties in West Virginia to guide the development of the intervention. Women felt more susceptible to heart disease because the changing role of women creates more stress and less time; weight loss was a greater motivator for dietary change than was preventing heart disease; social support is a barrier and facilitator for dietary change; cultural heritage and the way women were raised were major barriers to making health changes as adults; convenience and the cost of eating healthier were major factors when trying to make changes in diet; and women did not feel confident in their ability to maintain dietary changes.


Subject(s)
Cardiovascular Diseases/prevention & control , Computer-Assisted Instruction , Cooking/methods , Health Education/methods , Nutritional Sciences/education , Rural Health , Women's Health/ethnology , Appalachian Region , Computer Literacy , Diet, Fat-Restricted , Focus Groups , Fruit , Humans , Menu Planning , Middle Aged , Nutritional Sciences/ethnology , Poverty , Touch , User-Computer Interface , Vegetables , West Virginia
4.
J Aging Phys Act ; 14(4): 423-38, 2006 Oct.
Article in English | MEDLINE | ID: mdl-17215560

ABSTRACT

Although much has been learned about the global determinants of physical activity in adults, there has been a lack of specific focus on gender, age, and urban/rural differences. In this church-based community sample of Appalachian adults (N = 1,239), the primary correlates of physical activity included age, gender, obesity, and self-efficacy. Overall, 42% of all participants and 31% of adults age 65 years or older met recommended guidelines for physical activity, which suggests that most participants do not engage in adequate levels of physical activity. Of participants who met physical activity guidelines, the most common modes of moderate and vigorous activity were walking briskly or uphill, heavy housework or gardening, light strength training, and biking. These particular activities that focus on building self-efficacy might be viable targets for intervention among older adults in rural communities.


Subject(s)
Motor Activity , Adult , Aged , Appalachian Region , Body Mass Index , Colorectal Neoplasms/prevention & control , Female , Humans , Logistic Models , Male , Middle Aged , Obesity/epidemiology , Physical Fitness/psychology , Self Efficacy , Socioeconomic Factors
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