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Associations of Multimorbid Medical Conditions and Health-Related Quality of Life Among Older African American Men.

ABSTRACT: Background:African American (AA) men battling multiple morbidities are tasked with managing the components of each condition and are at greater risk for adverse outcomes such as poor health-related quality of life (QOL), disability, and higher mortality rates. Method:Baseline data for AA men from the University of Alabama at Birmingham Study of Aging were utilized. Factor analysis was used to categorize medical conditions and create factor scores. Covariate-adjusted regression models assessed the relationships between categories of conditions and physical and mental health-related QOL as assessed by the SF-12. Results:The mean age of the sample of 247 AA men was 75.36 years and 49% lived in rural areas. Medical conditions fit into three factors: metabolic syndrome, kidney failure and neurological complications, and COPD and heart disease. Covariate-adjusted models revealed that low education, higher levels of income difficulty, and higher scores on metabolic syndrome and COPD and heart disease factors were associated with lower scores on physical health-related QOL, p's < .05. Higher levels of income difficulty were also associated with lower scores on mental health-related QOL. Discussion:These findings suggest the importance of examining clusters of comorbid medical conditions and their relationships to outcomes within older African American men.

SUBMITTER: Clay OJ

PROVIDER: S-EPMC5927117 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Associations of Multimorbid Medical Conditions and Health-Related Quality of Life Among Older African American Men.

Clay Olivio J OJ Perkins Martinique M Wallace Gail G Crowe Michael M Sawyer Patricia P Brown Cynthia J CJ

The journals of gerontology. Series B, Psychological sciences and social sciences 20180101 2

<h4>Background</h4>African American (AA) men battling multiple morbidities are tasked with managing the components of each condition and are at greater risk for adverse outcomes such as poor health-related quality of life (QOL), disability, and higher mortality rates.<h4>Method</h4>Baseline data for AA men from the University of Alabama at Birmingham Study of Aging were utilized. Factor analysis was used to categorize medical conditions and create factor scores. Covariate-adjusted regression mod ...[more]

PMID: 28658936

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Project description:BackgroundMultimorbidity has become a new challenge for medical systems and public health policy. Understanding the patterns of and associations among multimorbid conditions should be given priority. It may assist with the early detection of multimorbidity and thus improve quality of life in older adults.ObjectiveThis study aims to comprehensively analyze and compare associations among multimorbid conditions by age and sex in a large number of middle-aged and older Chinese adults.MethodsData from the home pages of inpatient medical records in the Shenzhen National Health Information Platform were evaluated. From January 1, 2017, to December 31, 2018, inpatients aged 50 years and older who had been diagnosed with at least one of 40 conditions were included in this study. Their demographic characteristics (age and sex) and inpatient diagnoses were extracted. Association rule mining, Chi-square tests, and decision tree analyses were combined to identify associations between multiple chronic conditions.ResultsIn total, 306,264 hospitalized cases with available information on related chronic conditions were included in this study. The prevalence of multimorbidity in the overall population was 76.46%. The combined results of the 3 analyses showed that, in patients aged 50 years to 64 years, lipoprotein metabolism disorder tended to be comorbid with multiple chronic conditions. Gout and lipoprotein metabolism disorder had the strongest association. Among patients aged 65 years or older, there were strong associations between cerebrovascular disease, heart disease, lipoprotein metabolism disorder, and peripheral vascular disease. The strongest associations were observed between senile cataract and glaucoma in men and women. In particular, the association between osteoporosis and malignant tumor was only observed in middle-aged and older men, while the association between anemia and chronic kidney disease was only observed in older women.ConclusionsMultimorbidity was prevalent among middle-aged and older Chinese individuals. The results of this comprehensive analysis of 4 age-sex subgroups suggested that associations between particular conditions within the sex and age groups occurred more frequently than expected by random chance. This provides evidence for further research on disease clusters and for health care providers to develop different strategies based on age and sex to improve the early identification and treatment of multimorbidity.

Project description:The incidence and mortality rates of prostate cancer are significantly higher in African-American men when compared to European-American men. We tested the hypothesis that differences in tumor biology contribute to this survival health disparity. Using microarray technology, we obtained gene expression profiles of primary prostate tumors resected from 33 African-American and 36 European-American patients. These tumors were matched on clinical parameters. We also evaluated 18 non-tumor prostate tissues from 7 African-American and 11 European-American patients. The resulting datasets were analyzed for expression differences on the gene and pathway level comparing African-American with European-American patients. Our analysis revealed a significant number of genes, e.g., 162 transcripts at a false-discovery rate less than 5%, to be differently expressed between African-American and European-American patients. Using a disease association analysis, we identified a common relationship of these transcripts with autoimmunity and inflammation. These findings were corroborated on the pathway level with numerous differently expressed genes clustering in immune response, stress response, cytokine signaling, and chemotaxis pathways. Furthermore, a two-gene tumor signature was identified that accurately differentiated between African-American and European-American patients. This finding was confirmed in a blinded analysis of a second sample set. In conclusion, the gene expression profiles of prostate tumors indicate prominent differences in tumor immunobiology between African-American and European-American men. The profiles portray the existence of a distinct tumor microenvironment in these two patient groups. Experiment Overall Design: A total of 69 fresh-frozen prostate tumors were obtained from the NCI Cooperative Prostate Cancer Tissue Resource (CPCTR) and the Department of Pathology at the University of Maryland (UMD). All tumors were resected adenocarcinomas that had not received any therapy prior to prostatectomy. The macro-dissected CPCTR tumor specimens (n = 59) were reviewed by a CPCTR-associated pathologist, who confirmed the presence of tumor in the specimens. These tissues were collected between 2002 and 2004 at four different sites, with each site providing tissues from both African-American and European-American patients. Information on race/ethnicity (33 African-Americans and 36 European-Americans) was either extracted from medical records (CPCTR) or obtained through an epidemiological questionnaire in which race/ethnicity was self-reported (UMD). Only one patient, a European-American, was also Hispanic. Surrounding non-tumor prostate tissue was collected from 18 of the recruited patients in this study. Of those, 7 were African-American men and 11 were European-American men. We also isolated total RNA from 10 needle biopsy specimens collected from patients at the National Naval Medical Center (one African-American and 9 European-Americans) that did not have prostate cancer. From those, we prepared two RNA pools, each representing 5 patients. Clinicopathological characteristics of the patients, including age at prostatectomy, histology, Gleason score, pathological stage, PSA at diagnosis, tumor size, extraprostatic extension, margin involvement, and seminal vesicle invasion were obtained from CPCTR. For UMD cases, this information was extracted from the medical and pathology records, if available. Written informed consent was obtained from all donors. Tissue collection and study design were approved by the institutional review boards of the participating institutions.

Project description:BACKGROUND: Multimorbidity has a negative impact on health-related quality of life (HRQL). Previous studies included only a limited number of conditions. In this study, we analyse the impact of a large number of conditions on HRQL in multimorbid patients without preselecting particular diseases. We also explore the effects of these conditions on the specific dimensions of HRQL. MATERIALS AND METHODS: This analysis is based on a multicenter, prospective cohort study of 3189 multimorbid primary care patients aged 65 to 85. The impact of 45 conditions on HRQL was analysed. The severity of the conditions was rated. The EQ-5D, consisting of 5 dimensions and a visual-analogue-scale (EQ VAS), was employed. Data were analysed using multiple ordinary least squares and multiple logistic regressions. Multimorbidity measured by a weighted count score was significantly associated with lower overall HRQL (EQ VAS), b = -1.02 (SE: 0.06). Parkinson's disease had the most pronounced negative effect on overall HRQL (EQ VAS), b = -12.29 (SE: 2.18), followed by rheumatism, depression, and obesity. With regard to the individual EQ-5D dimensions, depression (OR = 1.39 to 3.3) and obesity (OR = 1.44 to 1.95) affected all five dimensions of the EQ-5D negatively except for the dimension anxiety/depression. Obesity had a positive effect on this dimension, OR = 0.78 (SE: 0.07). The dimensions "self-care", OR = 4.52 (SE: 1.37) and "usual activities", OR = 3.59 (SE: 1.0), were most strongly affected by Parkinson's disease. As a limitation our sample may only represent patients with at most moderate disease severity. CONCLUSIONS: The overall HRQL of multimorbid patients decreases with an increasing count and severity of conditions. Parkinson's disease, depression and obesity have the strongest impact on HRQL. Further studies should address the impact of disease combinations which require very large sample sizes as well as advanced statistical methods.

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Associations of Multimorbid Medical Conditions and Health-Related Quality of Life Among Older African American Men.

Publications

Associations of Multimorbid Medical Conditions and Health-Related Quality of Life Among Older African American Men.

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