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2016 - American Sociological Association Annual Meeting Words: 259 words || 
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1. Cain, Virginia. and Chinn, Juanita. "02. National Center for Health Statistics: Datasets to Identify, Understand, and Address the Population’s Health, Influences on Health, and Health Outcomes, National Center for Health Statistics" Paper presented at the annual meeting of the American Sociological Association Annual Meeting, Washington State Convention Center, Seattle, WA, <Not Available>. 2020-02-25 <http://citation.allacademic.com/meta/p1155205_index.html>
Publication Type: Poster
Abstract: The Centers for Disease Control and Prevention’s National Center for Health Statistics (NCHS) is the nation’s principal health statistics agency, providing data to identify and address health issues. Data sets available from NCHS include the: National Health Interview Survey (NHIS), National Health Interview Survey-Native Hawaiian and Pacific Islander Survey, National Health Interview Survey, National Care Interview Survey, National Health Interview Survey Linked Mortality File, National Health Examination and Nutrition Survey (NHANES), National Survey of Family Growth (NSFG), National Vital Statistics System including birth data, mortality data, fetal death data, linked births/infant death program, National Mortality Followback Survey, National Ambulatory Medical Care Survey (NAMCS), National Electronic Health Records Survey, National Ambulatory Medical Care Survey-Physician Workflow Survey, National Hospital Ambulatory Medical Care Survey (NHAMCS), National Hospital Care Survey, National Study of Long-Term Care Providers, National Survey of Children in Non-Parental Care, and the National Survey of the Diagnosis and Treatment of ADHD and Tourette Syndrome. Additionally, NCHS surveys can be linked to the National Death Index. These health data sets can be used to: document the health status of the U.S. population and selected subgroups; identify disparities in health status and use of health care by race/ethnicity, socio-economic status, region, and other population characteristics; document access to the health care system; monitor trends in health status and health care delivery; identify health behaviors and associated risk factors; support biomedical and health services research; provide data to support public policies and programs; evaluate the impact and effectiveness of health policies and programs and address many other research questions.

2019 - American Sociological Association Pages: unavailable || Words: unavailable || 
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2. Marsala, Miles. "Symmetry in Health Outcomes Based on Health Behaviors: Socioeconomic Status, Health Behaviors, and Self-Rated Health" Paper presented at the annual meeting of the American Sociological Association, Hilton New York Midtown & Sheraton New York Times Square Hotel, New York City, Aug 09, 2019 Online <APPLICATION/PDF>. 2020-02-25 <http://citation.allacademic.com/meta/p1510313_index.html>
Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: Health outcomes and subsequent health disparities have well-established links to socioeconomic status (SES); in general, these links indicate that people of lower-SES have worse health than their higher-SES counterparts. Researchers have found consistent health disparities between SES groups using various health outcomes, including self-rated health (SRH). While some suggest these differences might are due to different health behaviors, many scholars suggest that one of the main reasons for these disparities is access to resources, particularly educational attainment, income, and social networks. In addition to health disparities, there are also differences in the distribution of negative health behaviors among lower- and higher-SES groups. Health behaviors are "personal actions that influence health, disability, and mortality".
While research has established the relationships between (1) SES and health outcomes and (2) SES and health behaviors, less is understood about how specific health behaviors might differentially affect the health outcomes of individuals within socioeconomic groups or whether the effects of specific health behaviors have the same impact between groups. In this study, I investigate the interaction between two health behaviors—smoking and alcohol consumption—with levels of education and income. Examining this interaction will help to explain the role health behaviors play in health disparities between SES groups and whether the same NHBs are more harmful to low-SES than for high-SES or if there is symmetry in the effects between the groups. Preliminary results show some symmetry between SES groups, but some health behaviors are more negative for the health of low-SES individuals than high-SES.

2005 - American Sociological Association Pages: 17 pages || Words: 3717 words || 
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3. Park, Jungwee. and Nelson, Connie. "Correlates of unmet mental health care needs, and social support, health status and health behaviour" Paper presented at the annual meeting of the American Sociological Association, Marriott Hotel, Loews Philadelphia Hotel, Philadelphia, PA, Aug 12, 2005 Online <PDF>. 2020-02-25 <http://citation.allacademic.com/meta/p21271_index.html>
Publication Type: Conference Paper/Unpublished Manuscript
Abstract: In this paper we use data from the Canadian Community Health Survey Cycle 1.2 to examine the nature of unmet mental health needs in Ontario and how this is affected by sociodemographic, social support, health status and health behaviour. Acceptability is the most frequent type of unmet need and within this category, the largest proportion of people reported experiencing unmet needs because they “preferred to manage the problem themselves”. There are differences in unmet need by geographic region. Compared to Toronto, most regions showed higher odds of reporting acceptability barrier (North, South West, Central South, Central West, Central East) and accessibility barrier (South West, Central East, East). There were no regional differences in reporting unmet mental health care needs due to service availability. There were also significant contributions from age, gender, income, some types of social support, health behaviours, health status, service usage, co-morbidity and mental disorders. Findings show that equity in meeting self-reported unmet mental health needs has not been achieved across all seven Ontario health regions. The most salient finding from our study is that although enhanced mental health services can be important, they are unlikely to eradicate perceived unmet need due to acceptability. There is evidence that an emphasis on some types of social support can buffer against acceptability unmet needs.
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