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dc.contributor.advisorLeathers, Sonyaen_US
dc.contributor.authorJantz, Ianen_US
dc.date.accessioned2016-07-01T22:52:54Z
dc.date.available2016-07-01T22:52:54Z
dc.date.created2016-05en_US
dc.date.issued2016-07-01
dc.date.submitted2016-05en_US
dc.identifier.urihttp://hdl.handle.net/10027/20944
dc.description.abstractPurpose: Prolonged exposure to adverse socioeconomic conditions is associated with poor health. Research reports positive associations with time spent living below poverty and rates of cardiovascular disease. To date, the effect of these factors has been examined predominantly in the context of single medical conditions. This approach potentially masks relationships between long term socioeconomic disadvantage and development of complex medical presentations. Further, research that has examined cofactors of multiple chronic health conditions tends to use data from older populations. The current research addresses these gaps by examining patterns of accumulation of health conditions and their cofactors at two points during mid-life, when respondents are 40 and 50 years old. Methods: I analyzed data from 5,196 participants of the National Longitudinal Survey of Youth. Upon turning 40 and again when 50, respondents indicated whether they had ever been diagnosed with any of seven chronic health conditions. A latent transition analysis classified respondents based on these health conditions. Number of latent statuses was determined using Bayseian Information Criterion (BIC), other fit indices, and model interpretability. Respondent morbidity status became the dependent variable in a multinomial regression. Model predictors were indicators of life course socioeconomic conditions. They included measures of parental and respondent education, life course income, wealth at mid-life, home ownership, race and ethnicity, and other control variables with demonstrable associations to health, including smoking, alcohol, and body mass index. Results: Fit indices identified 4-statuses, a small multi-morbid status predominantly associated with heart and lung conditions, two moderately sized statuses associated with arthritis and hypertension, respectively, and one large status whose members tended to report no chronic health conditions. Income, wealth, and education were significantly related to morbidity statuses at two time points Implications: These findings support a link between life course socioeconomic conditions and accrual of multiple medical conditions. Understanding the nature of these relationships is relevant for micro and macro-practice. Greater attunement to the link between health issues and economic and social adversity becomes critical to assessment and service coordination. Further, macro-practitioners could sharpen community level needs assessment and target macro-level interventions to achieve broader community health benefits.en_US
dc.language.isoenen_US
dc.rightsen_US
dc.rightsCopyright 2016 Ian Jantzen_US
dc.subjectMultimorbidityen_US
dc.subjectLatent Variable Analysisen_US
dc.subjectLife Course Socioeconomic Factorsen_US
dc.titleMultimorbidity at Midilfe: An Analysis of Morbidity Patterns and Life Course Socioeconomic Cofactorsen_US
thesis.degree.departmentSocial Worken_US
thesis.degree.disciplineSocial Worken_US
thesis.degree.grantorUniversity of Illinois at Chicagoen_US
thesis.degree.levelDoctoralen_US
thesis.degree.namePhD, Doctor of Philosophyen_US
dc.type.genrethesisen_US
dc.contributor.committeeMemberGleeson, Jamesen_US
dc.contributor.committeeMemberHedeker, Donalden_US
dc.contributor.committeeMemberMuramatsu, Naokoen_US
dc.contributor.committeeMemberNebbitt, Vonen_US
dc.type.materialtexten_US


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