277 research outputs found

    Social networks and social support: living with chronic renal disease

    Full text link
    Individuals with chronic renal disease who receive dialysis treatment are continually faced with major adjustments. These may include dealing with changes in work and economic status, social roles, activity levels, self-image, health status, and normal routines, as well as learning to live with uncertainty and loss. The individual's social network plays a key role as the individual experiences and moves through various stages of adjustment. Networks with certain characteristics (e.g. provision of affective support, reciprocal ties) may be more effective than others lacking these characteristics in meeting the individual's changing needs during the process of adjusting to chronic renal disease. This paper examines this relationship between the characteristics of an individual's social network and adjustment to chronic renal illness. The discussion focuses on the impact of chronic renal disease on the individual, the composition and characteristics of the social network, and on the relationships between network members. How the social network affects a person's adjustment to stages of adaptation to chronic renal disease is also addressed. Finally, suggestions are presented for how health care professionals can intervene at the individual, network, and organizational level to strengthen and enlarge social networks in order to enhance social support.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/25581/1/0000125.pd

    Hypertension: Development of a prediction model to adjust self-reported hypertension prevalence at the community level

    Full text link
    Abstract Background Accurate estimates of hypertension prevalence are critical for assessment of population health and for planning and implementing prevention and health care programs. While self-reported data is often more economically feasible and readily available compared to clinically measured HBP, these reports may underestimate clinical prevalence to varying degrees. Understanding the accuracy of self-reported data and developing prediction models that correct for underreporting of hypertension in self-reported data can be critical tools in the development of more accurate population level estimates, and in planning population-based interventions to reduce the risk of, or more effectively treat, hypertension. This study examines the accuracy of self-reported survey data in describing prevalence of clinically measured hypertension in two racially and ethnically diverse urban samples, and evaluates a mechanism to correct self-reported data in order to more accurately reflect clinical hypertension prevalence. Methods We analyze data from the Detroit Healthy Environments Partnership (HEP) Survey conducted in 2002 and the National Health and Nutrition Examination (NHANES) 2001–2002 restricted to urban areas and participants 25 years and older. We re-calibrate measures of agreement within the HEP sample drawing upon parameter estimates derived from the NHANES urban sample, and assess the quality of the adjustment proposed within the HEP sample. Results Both self-reported and clinically assessed prevalence of hypertension were higher in the HEP sample (29.7 and 40.1, respectively) compared to the NHANES urban sample (25.7 and 33.8, respectively). In both urban samples, self-reported and clinically assessed prevalence is higher than that reported in the full NHANES sample in the same year (22.9 and 30.4, respectively). Sensitivity, specificity and accuracy between clinical and self-reported hypertension prevalence were ‘moderate to good’ within the HEP sample and ‘good to excellent’ within the NHANES sample. Agreement between clinical and self-reported hypertension prevalence was ‘moderate to good’ within the HEP sample (kappa =0.65; 95% CI = 0.63-0.67), and ‘good to excellent’ within the NHANES sample (kappa = 0.75; 95%CI = 0.73-0.80). Application of a ‘correction’ rule based on prediction models for clinical hypertension using the national sample (NHANES) allowed us to re-calibrate sensitivity and specificity estimates for the HEP sample. The adjusted estimates of hypertension in the HEP sample based on two different correction models, 38.1% and 40.5%, were much closer to the observed hypertension prevalence of 40.1%. Conclusions Application of a simple prediction model derived from national NHANES data to self-reported data from the HEP (Detroit based) sample resulted in estimates that more closely approximated clinically measured hypertension prevalence in this urban community. Similar correction models may be useful in obtaining more accurate estimates of hypertension prevalence in other studies that rely on self-reported hypertension.http://deepblue.lib.umich.edu/bitstream/2027.42/112834/1/12913_2011_Article_2187.pd

    Further explorations in empowerment theory: An empirical analysis of psychological empowerment

    Full text link
    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/44041/1/10464_2004_Article_BF00942234.pd

    Community-Based Participatory Research: Lessons Learned from the Centers for Children’s Environmental Health and Disease Prevention Research

    Get PDF
    Over the past several decades there has been growing evidence of the increase in incidence rates, morbidity, and mortality for a number of health problems experienced by children. The causation and aggravation of these problems are complex and multifactorial. The burden of these health problems and environmental exposures is borne disproportionately by children from low-income communities and communities of color. Researchers and funding institutions have called for increased attention to the complex issues that affect the health of children living in marginalized communities—and communities more broadly—and have suggested greater community involvement in processes that shape research and intervention approaches, for example, through community-based participatory research (CBPR) partnerships among academic, health services, public health, and community-based organizations. Centers for Children’s Environmental Health and Disease Prevention Research (Children’s Centers) funded by the National Institute of Environmental Health Sciences and U.S. Environmental Protection Agency were required to include a CBPR project. The purpose of this article is to provide a definition and set of CBPR principles, to describe the rationale for and major benefits of using this approach, to draw on the experiences of six of the Children’s Centers in using CBPR, and to provide lessons learned and recommendations for how to successfully establish and maintain CBPR partnerships aimed at enhancing our understanding and addressing the multiple determinants of children’s health

    Do neighborhood economic characteristics, racial composition, and residential stability predict perceptions of stress associated with the physical and social environment?

    Full text link
    http://deepblue.lib.umich.edu/bitstream/2027.42/61291/1/schulz aj, zenk s, israel ba, mentz g, stokes c, galea s, do neighborhood economic characteristics, racial composition, and residential stability predict perceptions.pd

    Air Pollution–Associated Changes in Lung Function among Asthmatic Children in Detroit

    Get PDF
    In a longitudinal cohort study of primary-school–age children with asthma in Detroit, Michigan, we examined relationships between lung function and ambient levels of particulate matter ≤ 10 μm and ≤ 2.5 μm in diameter (PM(10) and PM(2.5)) and ozone at varying lag intervals using generalized estimating equations. Models considered effect modification by maintenance corticosteroid (CS) use and by the presence of an upper respiratory infection (URI) as recorded in a daily diary among 86 children who participated in six 2-week seasonal assessments from winter 2001 through spring 2002. Participants were predominantly African American from families with low income, and > 75% were categorized as having persistent asthma. In both single-pollutant and two-pollutant models, many regressions demonstrated associations between higher exposure to ambient pollutants and poorer lung function (increased diurnal variability and decreased lowest daily values for forced expiratory volume in 1 sec) among children using CSs but not among those not using CSs, and among children reporting URI symptoms but not among those who did not report URIs. Our findings suggest that levels of air pollutants in Detroit, which are above the current National Ambient Air Quality Standards, adversely affect lung function of susceptible asthmatic children
    corecore