Publications (20) View all
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Article: Cancer prevention for the next generation.
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ABSTRACT: Given the continued growth in the number of persons with cancer in the United States, the primary prevention of cancer remains an urgent public health priority. As the field of cancer prevention continues to mature and scientific knowledge evolves, it is imperative to challenge the status quo and embrace new approaches to cancer prevention. In this commentary, we summarize recent trends and some of the scientific advances that have been made over the past few decades regarding the complex process of cancer development and the interaction of individual and social risk factors. We examine some of the assumptions and terminology that have characterized cancer prevention approaches for more than a quarter century and the impact of these assumptions and our use of terminology. We propose that it is possible for today's youth to experience lower cancer incidence rates as adults compared with previous generations. To accomplish this goal, a more transdisciplinary and multifaceted approach is needed, adapted as appropriate for different populations and stages of life. The greatest improvements in cancer prevention may occur as a result of innovative, multilevel interventions that build on the expanding scientific evidence base.Journal of Adolescent Health 05/2013; 52(5 Suppl):S1-7. · 3.33 Impact Factor -
Article: Recruiting women for a study on perceived risk of cancer: influence of survey topic salience and early versus late response.
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ABSTRACT: Understanding the characteristics of early and late survey responders has implications for recruitment efforts and for informing potential response bias. The main objective of this analysis was to examine survey responder status (ie, early vs late response) by sociodemographic characteristics and by salience of study variables among respondents. We analyzed data from a survey on family cancer history and perceived cancer risk among women at a large managed health-care organization. For baseline and 12-month follow-up surveys, we defined early versus late responder status according to the 95th percentile of the number of days it took to obtain completed interviews. We found no significant associations between responder status and sociodemographic characteristics at baseline or follow-up. At baseline, early responders were significantly more likely than late responders to have a personal history of breast cancer (5.2% vs 3.4%, P = .04) and to have been referred for genetic counseling (4.6% vs 2.0%, P = .004). The association between personal history of breast cancer and responder status persisted at follow-up; only 3.5% of late responders at baseline were also late responders at follow-up. Follow-up survey nonresponse rates did not vary by baseline responder status. Survey topic salience is associated with early response and is important for recruitment. However, once recruited, late responders do not remain late responders at follow-up, suggesting that extra efforts made to recruit late responders are worthwhile. Health-related agencies that conduct surveys should consider survey salience in survey administration and recruitment strategies.Preventing chronic disease 01/2013; 10:E75. · 1.82 Impact Factor -
Article: Measuring the degree of closeness to the cancer experience: Development and initial validation of the CONNection to the Experience of Cancer Scale (CONNECS).
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ABSTRACT: OBJECTIVE: To describe the development and psychometric testing of items measuring connection to the cancer experience through a close friend or relative. METHODS: Ten items assess four aspects of connection to cancer: emotional and cognitive involvement, kind and amount of shared experience, perceived similarity to the affected person, and negative change witnessed. Interviews were conducted with 2200 women close to someone with cancer. The sample was split into two samples for exploratory and confirmatory factor analysis. Sample 1 (n=1342) was used to examine the underlying structure of the items. Sample 2 (n=858) was used for CFA. Internal consistency and reliability analysis were also conducted. RESULTS: Three factors with moderate correlation were extracted: general closeness, resemblance, and cognitive processing. Results from the CFA analysis confirmed a good fit of the three-factor model (Bentler-Bonett NIF=0.973, Bentler-Bonett NNFI=0.975, RMSEA=0.040 and CFI=0.984) and all path coefficients were statistically significant. CONCLUSION: Findings provide preliminary evidence for the reliability and construct validity of the CONNECS scale in measuring individuals' connection to the cancer experience through a close friend or relative. PRACTICE IMPLICATIONS: CONNECS may be a useful tool for examining the impact of the cancer experience on risk perceptions, cancer worry, and medical decision making.Patient Education and Counseling 08/2012; · 2.31 Impact Factor -
Article: The lack of paid sick leave as a barrier to cancer screening and medical care-seeking: results from the National Health Interview Survey.
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ABSTRACT: Preventive health care services, such as cancer screening can be particularly vulnerable to a lack of paid leave from work since care is not being sought for illness or symptoms. We first describe the prevalence of paid sick leave by broad occupational categories and then examine the association between access to paid sick leave and cancer testing and medical care-seeking in the U.S. workforce. Data from the 2008 National Health Interview survey were analyzed by using paid sick leave status and other health-related factors to describe the proportion of U.S. workers undergoing mammography, Pap testing, endoscopy, fecal occult blood test (FOBT), and medical-care seeking. More than 48 million individuals (38%) in an estimated U.S. working population of 127 million did not have paid sick leave in 2008. The percentage of workers who underwent mammography, Pap test, endoscopy at recommended intervals, had seen a doctor during the previous 12 months or had at least one visit to a health care provider during the previous 12 months was significantly higher among those with paid sick leave compared with those without sick leave after controlling for sociodemographic and health-care-related factors. Lack of paid sick leave appears to be a potential barrier to obtaining preventive medical care and is a societal benefit that is potentially amenable to change.BMC Public Health 07/2012; 12:520. · 2.00 Impact Factor -
Article: Characteristics of US Counties with No Mammography Capacity.
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ABSTRACT: Access to screening mammography may be limited by the availability of facilities and machines, and nationwide mammography capacity has been declining. We assessed nationwide capacity at state and county levels from 2003 to 2009, the most recent year for which complete data were available. Using mammography facility certification and inspection data from the Food and Drug Administration, we geocoded all mammography facilities in the United States and determined the total number of fully accredited mammography machines in each US County. We categorized mammography capacity as counties with zero capacity (i.e., 0 machines) or counties with capacity (i.e.,≥1 machines), and then compared those two categories by sociodemographic, health care, and geographic characteristics. We found that mammography capacity was not distributed equally across counties within states and that more than 27 % of counties had zero capacity. Although the number of mammography facilities and machines decreased slightly from 2003 to 2009, the percentage of counties with zero capacity changed little. In adjusted analyses, having zero mammography capacity was most strongly associated with low population density (OR = 11.0; 95 % CI 7.7-15.9), low primary care physician density (OR = 8.9; 95 % CI 6.8-11.7), and a low percentage of insured residents (OR = 3.3; 95 % CI 2.5-4.3) when compared with counties having at least one mammography machine. Mammography capacity has been and remains a concern for a portion of the US population-a population that is mostly but not entirely rural.Journal of Community Health 04/2012; · 1.28 Impact Factor
