Monitoring progress toward CDC's health protection goals: health outcome measures by life stage.

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Public Health Reports (Impact Factor: 1.55). 124(2):304-16.
Source: PubMed


From 2004 through 2005, as part of a major strategic planning process called the Futures Initiative, the Centers for Disease Control and Prevention (CDC) developed a set of Health Protection Goals to make the best use of agency resources to achieve health impact. These goals were framed in terms of people, places, preparedness, and global health. This article presents a goals framework and a set of health outcome measures with historical trends and forecasts to track progress toward the Healthy People goals by life stage (Infants and Toddlers, Children, Adolescents, Adults, and Older Adults and Seniors).
Measurable key health outcomes were chosen for each life stage to capture the multidimensional aspects of health, including mortality, morbidity, perceived health, and lifestyle factors. Analytic methods involved identifying nationally representative data sources, reviewing 20-year trends generally ranging from 1984 through 2005, and using time-series techniques to forecast measures by life stage until 2015.
Improvements in measures of mortality and morbidity were noted among all life stages during the study period except Adults, who reported continued declining trends in perceived health status. Although certain behavioral indicators (e.g., prevalence of nonsmokers) revealed steady improvements among Adolescents, Adults, and Older Adults and Seniors, prevalence of the healthy weight indicator was declining steadily among Children and Adolescents and dramatically among Adults and Older Adults and Seniors.
The health indicators for the Healthy People goals established a baseline assessment of population health, which will be monitored on an ongoing basis to measure progress in maximizing health and achieving one component of CDC's Health Protection Goals.

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    ABSTRACT: Older adults are considered more vulnerable to foodborne illness due to lowered immune function. We compared the food safety perceptions and practices of older and younger adults and determined associations with demographic characteristics. We focused on 1,317 participants > or = 60 years of age from the U.S. Food and Drug Administration's 2006 Food Safety Survey, a telephone survey of a nationally representative sample of American consumers. We used data on participants < 60 years of age to compare younger and older adults, and used Pearson's Chi-square tests to determine whether perceptions and practices differed by age, gender, level of education, living arrangement, and race/ethnicity. We conducted multiple logistic regression analysis to assess relationship of demographic characteristics and food safety perceptions with food safety practices of older adults. We found that adults > or = 60 years of age were more likely to follow recommended food safety practices than those < 60 years of age. Sixty-six percent of adults > or = 60 years of age reported eating potentially hazardous foods in the past year compared with 81% of adults < 60 years of age. Among people > or = 60 years of age, women, those with less education, and nonwhite individuals generally had better food safety practices and a greater awareness of food safety risk. These findings suggest that certain subsets of the older adult population are less likely to follow recommended food safety practices and, thus, are at greater risk of foodborne illness. Food safety education for older adults should target men and those with more education and higher incomes.
    Public Health Reports 03/2011; 126(2):220-7. DOI:10.2307/41639350 · 1.55 Impact Factor
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    ABSTRACT: Background Approximately 1% of U.S. women may have an undiagnosed bleeding disorder, which can diminish quality of life and lead to life-threatening complications during menstruation, childbirth, and surgery. Purpose To understand young women’s knowledge, attitudes, and perceptions about bleeding disorders and determine the preferred messaging strategy (e.g., gain- versus loss-framed messages) for presenting information. Methods In September 2010, a web-assisted personal interview of women aged 18–25 years was conducted. Preliminary analyses were conducted in 2011 with final analyses in 2013. In total, 1,243 women participated. Knowledge of blood disorders was tabulated for these respondents. Menstrual experiences of women at risk for a bleeding disorder were compared with those not at risk using chi-square analyses. Perceived influence of gain- versus loss-framed messages also was compared. Results Participants knew that a bleeding disorder is a condition in which bleeding takes a long time to stop (77%) or blood does not clot (66%). Of the women, 57% incorrectly thought that a bleeding disorder is characterized by thin blood; many were unsure if bleeding disorders involve blood types, not getting a period, or mother and fetus having a different blood type. Women at risk for a bleeding disorder were significantly more likely to report that menstruation interfered with daily activities (36% vs 9%); physical or sports activities (46% vs 21%); social activities (29% vs 7%); and school or work activities (20% vs 9%) than women not at risk. Gain-framed messages were significantly more likely to influence women’s decisions to seek medical care than parallel loss-framed messages. Findings suggest that the most influential messages focus on knowing effective treatment is available (86% gain-framed vs 77% loss-framed); preventing pregnancy complications (79% gain- vs 71% loss-framed); and maintaining typical daily activities during menstrual periods. Conclusions Lack of information about bleeding disorders is a serious public health concern. Health communications focused on gain-framed statements might encourage symptomatic young women to seek diagnosis and treatment. These findings and corresponding recommendations align with Healthy People 2020 and with the CDC’s goal of working to promote the health, safety, and quality of life of women at every life stage.
    American Journal of Preventive Medicine 09/2014; 47(5). DOI:10.1016/j.amepre.2014.07.040 · 4.53 Impact Factor


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