16 research outputs found

    Social Determinants of Health: What, How, Why, and Now

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    Adverse childhood experiences and life opportunities: Shifting the narrative

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    Substantial research shows that early adversity, including child abuse and neglect, is associated with diminished health across the life course and across generations. Lesswell understood is the relationship between early adversity and adult socioeconomic status, including education, employment, and income. Collectively, these outcomes provide an indication of overall life opportunity. We analyzed data from 10 states and the District of Columbia that used the adverse childhood experiences (ACE) module in the 2010 Behavioral Risk Factor Surveillance System to examine the association between ACEs and adult education, employment, and income. Compared to participants with no ACEs, those with higher ACE scores were more likely to report high school non-completion, unemployment, and living in a household below the federal poverty level. This evidence suggests that preventing early adversity may impact health and life opportunities that reverberate across generations. Current efforts to prevent early adversity might be more successful if they broaden public and professional understanding (i.e., the narrative) of the links between early adversity and poverty. We discuss our findings within the context of structural policies and processes that may further contribute to the intergenerational continuity of child abuse and neglect and poverty

    Addressing Social Determinants of Health Inequities: Learning From Doing

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    http://deepblue.lib.umich.edu/bitstream/2027.42/40283/2/Baker_Addressing Social Determinants of Health Inequities_2006.pd

    Multicenter clinical trial of recombinant human insulin-like growth factor I in patients with acute renal failure

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    Multicenter clinical trial of recombinant human insulin-like growth factor I in patients with acute renal failure.BackgroundPatients with acute renal failure (ARF) have high morbidity and mortality rates, particularly if they have serious comorbid conditions. Several studies indicate that in rats with ARF caused by ischemia or certain nephrotoxins, insulin-like growth factor-I (IGF-I) enhances the recovery of renal function and suppresses protein catabolism.MethodsOur objective was to determine whether injections of recombinant human IGF-I (rhIGF-I) would enhance the recovery of renal function and is safe in patients with ARF. The study was designed as a randomized, double-blind, placebo-controlled trial in intensive care units in 20 teaching hospitals. Seventy-two patients with ARF were randomized to receive rhIGF-I (35 patients) or placebo (37 patients). The most common causes of ARF in the rhIGF-I and placebo groups were, respectively, sepsis (37 and 35% of patients) and hypotension or hemodynamic shock (42 and 27% of patients). At baseline, the mean (± sd) APACHE II scores in the rhIGF-I and placebo-treated groups were 24 ± 5 and 25 ± 8, respectively. In the rhIGF-I and placebo groups, the mean (median) urine volume and urinary iothalamate clearances (glomerular filtration rate) were 1116 ± 1037 (887) and 1402 ± 1183 (1430)ml/24hr and 6.4 ± 5.9 (4.3) and 8.7 ± 7.2 (4.4)ml/min and did not differ between the two groups. Patients were injected subcutaneously every 12hours with rhIGF-I, 100 μg/kg desirable body weight, or placebo for up to 14days. Injections were started within six days of the onset of ARF. The primary end-point was a change in glomerular filtration rate from baseline. Other end points included changes from baseline in urine volume, creatinine clearance and serum urea, creatinine, albumin and transferrin, frequency of hemodialysis or ultrafiltration, and mortality rate.ResultsDuring the treatment period, which averaged 10.7 ± 4.1 and 10.6 ± 4.5days in the rhIGF-I and placebo groups, there were no differences in the changes from baseline values of the glomerular filtration rate, creatinine clearance, daily urine volume, or serum urea nitrogen, creatinine, albumin or transferrin. In patients who did not receive renal replacement therapy, there was also no significant difference in serum creatinine and urea between the two groups. Twenty patients in the rhIGF-I group and 17 placebo-treated patients underwent dialysis or ultrafiltration. Twelve rhIGF-I–treated patients and 12 placebo-treated patients died during the 28days after the onset of treatment.ConclusionsrhIGF-I does not accelerate the recovery of renal function in ARF patients with substantial comorbidity

    Socioeconomic Status in Health Research One Size Does Not Fit All

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    Problems with measuring socioeconomic status (SES)—frequently included in clinical and public health studies as a control variable and less frequently as the variable(s) of main interest—could affect research findings and conclusions, with implications for practice and policy.Wecritically examine standard SES measurement approaches, illustrating problems with examples from new analyses and the literature. For example, marked racial/ethnic differences in income at a given educational level and in wealth at a given income level raise questions about the socioeconomic comparability of individuals who are similar on education or income alone. Evidence also shows that conclusions about nonsocioeconomic causes of racial/ethnic differences in health may depend on the measure—eg, income, wealth, education, occupation, neighborhood socioeconomic characteristics, or past socioeconomic experiences—used to “control for SES,” suggesting that findings from studies that have measured limited aspects of SES should be reassessed. We recommend an outcome- and social group–specific approach to SES measurement that involves (1) considering plausible explanatory pathways and mechanisms, (2) measuring as much relevant socioeconomic information as possible, (3) specifying the particular socioeconomic factors measured (rather than SES overall), and (4) systematically considering how potentially important unmeasured socioeconomic factors may affect conclusions. Better SES measures are needed in data sources, but improvements could be made by using existing information more thoughtfully and acknowledging its limitations

    Community Health Status Indicators Project: The Development of a National Approach to Community Health

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    The Community Health Status Indicators Project (CHSI) 2008 provides 16-page reports for the 3141 counties in the United States, each of which includes more than 300 county-specific data items related to chronic and infectious diseases, birth characteristics or outcomes, causes of death, environmental health, availability of health services, behavioral risk factors, health-related quality of life, vulnerable populations, summary measures of health, and health disparities. The CHSI, originally initiated in 2000, provides county-level health profiles for all U.S. counties so that programs addressing community health can readily access community health indicators. Each county report also permits comparisons of a county’s health status with similar “peer counties,” with all counties, and with national Healthy People 2010 objectives. Under the leadership of a public–private partnership, the CHSI Steering Committee updated each county report and added new information and features to create CHSI 2008. This new CHSI version includes data for 1994 through 2006 from multiple surveillance systems. New features include an enhanced Web site, an Internet mapping application, and a downloadable database of the indicators for all counties
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