26 research outputs found

    Determinants of Prostate Survival in Arizona: Demographic and Clinical Characteristics

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    In investigating the determinants of survival of prostate cancer cohorts, characterization of the cohort in terms of competing underlying causes of death would be appropriate. Atherosclerotic heart disease, bronchitis, acute myocardial infarction, chronic obstructive pulmonary disease, atherosclerotic cardiovascular disease, and stroke were found to be the major causes of death among prostate cancer cohorts aside from prostate cancer. A population-based assessment of the codeterminants of mortality and a demographic and clinical determinant of prostate cancer survival was undertaken. Average survival time and survival curves of the various age categories were significantly different. The average survival time and survival curves of the different levels of grade and SEER summary stage were significantly different. On average, the regression coefficients of age categories, the different levels of grade, and SEER summary stages were significant predictors of survival for the prostate cancer cohorts studied. Clinical management of prostate cancer patients should consider the risk factors for the identified codeterminants of mortality among prostate cancer cohorts

    The Association between Sleep Loss and Women’s Wellness Decisions

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    Sleep loss is an important determinant of health status owing to its relationships with molecular, immune, and neural changes; these changes, in turn, are important etiological mechanisms for the development of cardiovascular, metabolic diseases and increased risk of accident related injuries. While the association between sleep loss and risk of weight gain is established, studies on the association between sleep loss and nutrition and physical activity are limited. The purpose of this research was to determine if there are significant associations between reported sleep variations and nutrition and physical activity level while recognizing the association between body mass index (BMI) and sleep loss. Data from the 2011 sleep-related questions captured by the Centers for Disease Control and Prevention’s (CDC) Behavioral Risk Factor Surveillance System (BRFSS) was used to identify possible behavioral indicators related to sleep loss in women. Multiple logistic regression was used to assess the hypothesized associations between sleep loss and fruit and vegetable consumption and physical activity levels. The odds ratios for the association between fruit/vegetable intake and sleep loss and that of BMI and sleep loss were (OR =0.761, 95% CI =0.651, 0.889) and (OR = 1.108, 95% CI =0.972, 1.262), respectively. The odds ratio for the association between physical exercise and sleep loss was (OR = 0.991, 95% CI =0.864, 1.137). Having adjusted for relevant covariates, consumption of fruits and vegetables was significantly associated with sleep loss; physical activity was not significantly associated with sleep loss

    The Association between Sleep Loss and Women’s Wellness Decisions

    Get PDF
    Sleep loss is an important determinant of health status owing to its relationships with molecular, immune, and neural changes; these changes, in turn, are important etiological mechanisms for the development of cardiovascular, metabolic diseases and increased risk of accident related injuries. While the association between sleep loss and risk of weight gain is established, studies on the association between sleep loss and nutrition and physical activity are limited. The purpose of this research was to determine if there are significant associations between reported sleep variations and nutrition and physical activity level while recognizing the association between body mass index (BMI) and sleep loss. Data from the 2011 sleep-related questions captured by the Centers for Disease Control and Prevention’s (CDC) Behavioral Risk Factor Surveillance System (BRFSS) was used to identify possible behavioral indicators related to sleep loss in women. Multiple logistic regression was used to assess the hypothesized associations between sleep loss and fruit and vegetable consumption and physical activity levels. The odds ratios for the association between fruit/vegetable intake and sleep loss and that of BMI and sleep loss were (OR =0.761, 95% CI =0.651, 0.889) and (OR = 1.108, 95% CI =0.972, 1.262), respectively. The odds ratio for the association between physical exercise and sleep loss was (OR = 0.991, 95% CI =0.864, 1.137). Having adjusted for relevant covariates, consumption of fruits and vegetables was significantly associated with sleep loss; physical activity was not significantly associated with sleep loss

    Effect of Geography on the Analysis of Coccidioidomycosis-Associated Deaths, United States

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    Because coccidioidomycosis death rates vary by region, we reanalyzed coccidioidomycosis-associated mortality in the United States by race/ethnicity, then limited analysis to Arizona and California. Coccidioidomycosis-associated deaths were shown to increase among African-Americans but decrease among Native Americans and Hispanics. Separately, in a Native American cohort, diabetes co-varied with coccidioidomycosis-associated death

    Relationship of proximal tubular injury to chronic kidney disease as assessed by urinary kidney injury molecule-1 in five cohort studies

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    BACKGROUND: The primary biomarkers used to define CKD are serum creatinine and albuminuria. These biomarkers have directed focus on the filtration and barrier functions of the kidney glomerulus even though albuminuria results from tubule dysfunction as well. Given that proximal tubules make up ∼90% of kidney cortical mass, we evaluated whether a sensitive and specific marker of proximal tubule injury, urinary kidney injury molecule-1 (KIM-1), is elevated in individuals with CKD or with risk factors for CKD. METHODS: We measured urinary KIM-1 in participants of five cohort studies from the USA and Sweden. Participants had a wide range of kidney function and were racially and ethnically diverse. Multivariable linear regression models were used to test the association of urinary KIM-1 with demographic, clinical and laboratory values. RESULTS: In pooled, multivariable-adjusted analyses, log-transformed, creatinine-normalized urinary KIM-1 levels were higher in those with lower eGFR {β = -0.03 per 10 mL/min/1.73 m(2) [95% confidence interval (CI) -0.05 to -0.02]} and greater albuminuria [β = 0.16 per unit of log albumin:creatinine ratio (95% CI 0.15-0.17)]. Urinary KIM-1 levels were higher in current smokers, lower in blacks than nonblacks and lower in users versus nonusers of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers. CONCLUSION: Proximal tubule injury appears to be an integral and measurable element of multiple stages of CKD
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