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1.
J Appalach Health ; 2(2): 56-66, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-35769866

RESUMO

Introduction: Appalachian communities experience elevated rates of cancer incidence and mortality relative to other regions in the U.S. Specifically, melanoma mortality rates are higher in Appalachia compared to the national average, despite comparable incidence rates. Purpose: To examine differences in self-reported history of skin cancer and prevalence of two UV exposure behaviors between Appalachian and non-Appalachian adults in a nationally representative sample. Methods: Data are from four cross-sectional cycles of the Health Information National Trends Survey (2011-2014) (N=14,451). We examined sunscreen use and tanning bed use, and self-reported history of melanoma and non-melanoma skin cancer. Descriptive and weighted multivariable analyses were conducted to examine sunscreen and tanning bed use, controlling for sociodemographic characteristics. Results: Approximately 8% of the study sample resided in Appalachia (n=1,015). Self-reported melanoma (0.6%) and non-melanoma (3.2%) skin cancer histories were low among Appalachians and did not differ statistically from non-Appalachians (p>0.05). Only 21.2% of Appalachians reported using sunscreen often or always when going outside for more than one hour on a warm, sunny day compared to 27.4% of non-Appalachians (pp=0.04), but there were no regional differences in tanning bed use (OR=1.48, p=0.23) when controlling for sociodemographics and general health status. Implications: Appalachians had comparable histories of self-reported melanoma and non-melanoma skin cancer but were less likely to report sunscreen use than non-Appalachians. Enhanced communication efforts to promote sunscreen use and other UV protection behaviors in Appalachia may be valuable.

2.
Public Health Rep ; 133(4): 379-384, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29791807

RESUMO

The populations of many Appalachian communities have high rates of unhealthy body weight. This study aimed to identify differences in beliefs about obesity between Appalachians and non-Appalachians. Our analyses explored health beliefs and behaviors among US adults aged ≥18 (n = 14 451) who responded to the Health Information National Trends Survey (2011-2014), of whom 1015 (8%) resided within the 420 counties recognized as Appalachian by the Appalachian Regional Commission. Using weighted regression analyses and controlling for sociodemographic characteristics and general health, we determined that self-reported body mass index was higher among Appalachians than among non-Appalachians ( B = 0.75, P = .03, 95% confidence interval, 0.08-1.47) and that Appalachians were less likely than non-Appalachians to believe that lifestyle factors were related to obesity ( B = -0.37, P = .03, 95% confidence interval, -0.04 to -0.71). Results suggest that Appalachians may regard behavioral prevention differently from non-Appalachians, perhaps with less confidence in the effectiveness of certain behaviors to reduce obesity risk. Future research may determine whether such beliefs could complicate efforts to encourage healthy lifestyles throughout the region.


Assuntos
Cultura , Comportamentos Relacionados com a Saúde , Obesidade/epidemiologia , População Rural/estatística & dados numéricos , Idoso , Região dos Apalaches/epidemiologia , Índice de Massa Corporal , Estudos Transversais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Inquéritos e Questionários
3.
J Health Commun ; 22(8): 638-646, 2017 08.
Artigo em Inglês | MEDLINE | ID: mdl-28753085

RESUMO

The advertising and marketing of energy-dense, nutrient-poor (EDNP) food and drink has been cited as one contributor to unhealthy eating behaviors in adolescents. The present study examines perceptions about and trust in food advertising and their association with consumption of EDNP foods and drinks among adolescents in the United States. Data (n = 1,384) come from the U.S. National Cancer Institute's Family Life, Activity, Sun, Health, and Eating Survey. One way ANOVAs were conducted to assess differences between population subgroups in advertising perceptions. Bivariate and multivariable linear regression models were used to examine the associations between perceptions toward and trust in food advertising and consumption of EDNP foods and drinks, controlling for sociodemographic factors. Results show that there are significant differences between racial/ethnic groups on advertising perceptions (F = 16.32, p = < .0001). As positive perceptions toward food advertising increase among adolescents, there is an associated increase in daily frequency of consumption of EDNP foods and drinks (ß = 0.10, p < .01). Similarly, the more adolescents agreed that they trusted food advertising, the higher the reported daily frequency of EDNP food and drink consumption (ß = 0.08, p = .01). Targeting perceptions about food advertising may be a worthy intervention strategy to reduce the impact of food marketing and the consumption of heavily advertised EDNP foods and drinks among adolescents.


Assuntos
Publicidade , Atitude Frente a Saúde , Dieta/psicologia , Dieta/estatística & dados numéricos , Alimentos , Adolescente , Criança , Estudos Transversais , Inquéritos sobre Dietas , Ingestão de Energia , Feminino , Humanos , Masculino , Valor Nutritivo , Estados Unidos
4.
J Cancer Prev ; 21(3): 201-206, 2016 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-27722147

RESUMO

The era of "Big Data" presents opportunities to substantively address cancer prevention and control issues by improving health behaviors and refining theoretical models designed to understand and intervene in those behaviors. Yet, the terms "model" and "Big Data" have been used rather loosely, and clarification of these terms is required to advance the science in this area. The objectives of this paper are to discuss conceptual definitions of the terms "model" and "Big Data", as well as examine the promises and challenges of Big Data to advance cancer prevention and control research using behavioral theories. Specific recommendations for harnessing Big Data for cancer prevention and control are offered.

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