Abstract：
:Cardiovascular disease (CVD) is the leading cause of mortality for adults in the US, regardless of ethnicity. A cross-sectional correlational design was used to describe and compare CVD risk and cardiac mortality in White Hispanic and non-Hispanic women and men. Data from 3,317 individuals (1,523 women and 1,794 men) hospitalized for non-cardiac causes during 2012-2013, and data from the 2010 United States Census were included. The sex-specific 10-year Framingham General Cardiovascular Risk Score (FRS-10) was used to estimate long-term risk for major cardiac events. Approximately three-quarters of the sample was White Hispanic. FRS-10 scores were generally low, but a high prevalence of risk factors not included in the standard FRS-10 scoring formula was seen. White Hispanic women had significantly lower estimated CVD risk scores compared to White Hispanic and non-Hispanic men despite higher non-FRS-10 risks. Neighborhood median household income had a significant negative relationship and Hispanic neighborhood concentration had a significant positive relationship with cardiac mortality. Hispanic concentration was the only predictor of estimated CVD risk in a multilevel model. CVD risk assessment tools that are calibrated for ethnic groups and socioeconomic status may be more appropriate for Hispanic individuals than the FRS-10. Neighborhood-level factors should be included in clinical cardiac assessment in addition to individual characteristics and behavioral risks. Researchers should continue to seek additional risk factors that may contribute to or protect against CVD in order to close the gap between estimated CVD risk and actual cardiac mortality for Hispanics in the US. © 2016 Wiley Periodicals, Inc.
journal_name
Res Nurs Healthjournal_title
Research in nursing & healthauthors
Cohn T,Miller A,Fogg L,Braun LT,Coke Ldoi
10.1002/nur.21778subject
Has Abstractpub_date
2017-04-01 00:00:00pages
120-131issue
2eissn
0160-6891issn
1098-240Xjournal_volume
40pub_type
杂志文章abstract：:A predictive model of well-being and self-care was tested with 284 women aged 60-88 living in rural communities in Taiwan. The variables studied were age, marital status, social class, social support, perceived health, self-care agency, self-care behavior, and perceived well-being. The model was tested by path analysi...
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