The Experts below are selected from a list of 960 Experts worldwide ranked by ideXlab platform
William E Haley - One of the best experts on this subject based on the ideXlab platform.
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using a Stress Process Model to examine racial differences in caregiver well being and health
Innovation in Aging, 2019Co-Authors: Adrian N S Badana, William E HaleyAbstract:Current research must utilize nationally-representative samples of older adults and their family caregivers to accurately reflect the growing diversity of the United States. This study aims to use a Stress Process Model to examine potential racial differences in caregiving in a population-based sample of 844 White and 389 Black family caregivers in the United States. We conducted 3 x 2 x 2 (relationship type x race x dementia care status) factorial ANOVAs to examine potential differences in caregiving Stressors, appraisals, resources, and mental and physical health outcomes among primary family caregivers. Results indicated significant racial differences in caregiving on several Stress Process measures. Although Black caregivers reported more caregiving Stressors, compared to White caregivers, they tended to report more positive appraisals of caregiving and more caregiving resources. Dementia caregivers tended to report greater caregiving Stressors and worse measures of appraisal compared to non-dementia caregivers. There was a significant two-way interaction among relationship type and dementia care status for the caregiving Stressor, hours of care. A Stress Process Model can allow researchers to investigate various factors associated with racial differences in caregiving.
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Understanding the roles of patient symptoms and subjective appraisals in well-being among breast cancer patients.
Supportive Care in Cancer, 2019Co-Authors: Adrian N S Badana, Brent J. Small, Victoria R. Marino, Maureen E. Templeman, Susan C. Mcmillan, Cindy Tofthagen, William E HaleyAbstract:To examine the roles of both patient symptoms, and subjective appraisals of Stress (self-efficacy, symptom barriers, symptom diStress), in understanding well-being (anxiety, depression, cancer-specific quality of life, mental health quality of life, and physical health quality of life) in breast cancer patients. We examined data from 104 female breast cancer patients. Using a Stress Process Model, we hypothesized that while high levels of patient symptoms would be associated with poorer patient well-being, these effects would be mediated by subjective appraisals, including patient self-efficacy, perceived symptom barriers, and symptom diStress. As expected, higher levels of patient symptoms were associated with poorer well-being on all five indicators. Subjective appraisals of Stress added significantly to predictors of well-being, and were mediators of this relationship across all five outcomes. While patient symptoms are important predictors of patient well-being, subjective appraisals of the Stressfulness of symptoms, and of patients’ self-efficacy in managing symptoms, are also key factors. The findings suggest the utility of a Stress Process Model in understanding well-being in breast cancer patients, and point to the potential value of targeting patient appraisals as well as symptoms to improve psychological well-being and quality of life.
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Correlates of health-related quality of life in African American and Caucasian stroke caregivers.
Rehabilitation Psychology, 2013Co-Authors: Olivio J. Clay, William E Haley, Joan S. Grant, Virginia G. Wadley, Martinique Perkins, David L RothAbstract:Objective Stroke is a leading cause of long-term disability in the United States. Family caregivers are susceptible to negative outcomes as a result of their caregiving role. A Stress Process Model was utilized to identify characteristics of stroke caregivers who are at risk for poor physical and mental health-related quality of life (QOL).
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predictors of depression and life satisfaction among spousal caregivers in hospice application of a Stress Process Model
Journal of Palliative Medicine, 2003Co-Authors: William E Haley, Laurie A Lamonde, Allison Burton, Ronald S SchonwetterAbstract:Using a Stress Process Model, risk factors (caregiving Stressors, caregiver health, and negative social interactions) and protective factors (caregiving appraisals and social resources) were examined as predictors of family caregiver well-being (depression and life satisfaction). Eighty spousal caregivers of hospice patients with dementia or lung cancer completed structured interviews and self-report measures assessing components of the Stress Process Model. Results suggest that objective measures of patient impairment or amount of care provided are not strong predictors of caregiver depression or life satisfaction. Female gender, caregiver health problems, and negative social interactions were risk factors for poorer caregiver well-being. Caregivers who subjectively appraised caregiving tasks as less Stressful, who found meaning and subjective benefits from caregiving, and with more social resources had lower depression and higher life satisfaction, even after controlling for patient impairment and careg...
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predicting longitudinal changes in caregiver physical and mental health a Stress Process Model
Health Psychology, 1998Co-Authors: Kathryn T Goode, William E Haley, David L Roth, Greg R FordAbstract:Kathryn T. Goode University of Alabama at Birmingham William E. Haley University of South Florida David L. Roth and Greg R. Ford University of Alabama at Birmi.ngham Alzheimer's family caregivers (N = 122) reported on physical and mental health, as well as Stress Process variables, at baseline and at a 1-year follow-up. Hierarchical regression analyses of Stress Process Models revealed that increases in primary Stressors (e.g., patient self-care and behavioral problems) did not directly affect changes in the mental and physical health outcome variables. However, analyses of Models of direct, mediated, and moderated effects revealed that psychosocial resource variables (appraisals, coping responses, and social support) were related to caregiver outcomes over time through several mechanisms. In particular, benign appraisals of Stressors, the use of approach coping, and greater levels of social support were associated with more positive caregiver health outcomes over time.
Jeanette A Davy - One of the best experts on this subject based on the ideXlab platform.
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a longitudinal study of a multivariate Model of the Stress Process using structural equations Modeling
Human Relations, 1995Co-Authors: Christine L Scheck, Angelo J Kinicki, Jeanette A DavyAbstract:This study developed and tested a longitudinal multivariate Model of the Stress Process using an intensive structural equations Modeling (SEM) approach. The use of latent variables permits a powerful test of the causal relationships between Stress Process constructs. Anderson and Gerbing's (1988) two-stage Process of analysis was followed: A measurement Model was examined in Stage One of the analysis; structural verification of the proposed Stress Process Model using a panel design was tested in Stage Two. Findings from both stages contribute to our understanding of Stress by uncovering some dynamic components underlying the Stress Process. This study offered a sophisticated methodological examination into the complexity inherent in uncovering the dynamics of the Stress Process.
Clermont E Dionne - One of the best experts on this subject based on the ideXlab platform.
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validation of an adaptation of the Stress Process Model for predicting low back pain related long term disability outcomes a cohort study
Spine, 2010Co-Authors: Manon Truchon, Denis Cote, Marieeve Schmouth, Jean Leblond, Lise Fillion, Clermont E DionneAbstract:Study Design.Twelve-month cohort study.Objective.The aim of the study was to examine the ability of an adaptation of the Stress Process Model to predict different outcomes among low back pain (LBP) sufferers.Summary of Background Data.Recently, the Stress Process Model was adapted and was shown to b
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low back pain related disability an integration of psychological risk factors into the Stress Process Model
Pain, 2008Co-Authors: Manon Truchon, Denis Cote, Lise Fillion, Bertrand Arsenault, Clermont E DionneAbstract:Abstract The purpose of this study was to verify the usefulness of an adaptation of the Stress Process Model in organizing the psychological variables associated with the development of low-back-pain related disability. French-speaking Canadian workers on compensated sick leave (N = 439) due to recent occupational low back pain (LBP) were evaluated during the sub-acute stage of LBP (between 30 and 83 days after injury). They were assessed for the following factors: life events, injury-specific cognitive appraisal, emotional diStress, avoidance coping, and functional disability. Confirmatory factor analyses were used to test and modify the measurement Model. An important modification in the measurement Model was the association of catastrophizing with the emotional diStress factor. During the sub-acute stage, path analyses revealed a satisfactory fit of the following Model (the following coefficients are standardized): (a) life events (.30) and cognitive appraisal (.42) explained emotional diStress (r2 = .30); (b) emotional diStress (.42) and cognitive appraisal (.36) explained the use of avoidance coping (r2 = .45); and (c) emotional diStress (.24) and avoidance coping (.56) explained functional disability (r2 = .53). The Stress Model tested here reaffirms the importance of life events in the development of disability through the more established emotional diStress factor. Also, cognitive appraisal appears to have an indirect effect on disability through activity avoidance and diStress. This adaptation of the Stress Model makes it possible to integrate risk factors into a reduced set of meaningful factors and proposes a more general adaptation explanation of disability than the specific fear-avoidance Model.
Abel Fekadu Dadi - One of the best experts on this subject based on the ideXlab platform.
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causal mechanisms of postnatal depression among women in gondar town ethiopia application of a Stress Process Model with generalized structural equation Modeling
Reproductive Health, 2020Co-Authors: Abel Fekadu Dadi, Lillian Mwanri, Richard J Woodman, Telake Azale, Emma R MillerAbstract:Postnatal depression (PND) is the second most common cause of disability and the most common complication after childbirth. Understanding the potential mechanisms by which the Stress Process can lead to PND is an important step for planning preventive interventions for PND. This study employed a Stress Process Model to explore the possible pathways leading to PND in Gondar Town, Ethiopia. A community-based cohort study was conducted in 916 pregnant women, who were assessed for depression in their second or third trimester of pregnancy and re-assessed two to eight weeks after birth. Women with an Edinburgh Postnatal Depression Scale (EPDS) ≥6 were considered to be depressed. Modified Poisson regression was used to identify the independent predictors of PND. A Generalized Structural Equation Modeling (GSEM) was then used to explore the direct and indirect effects of Stressors and their mediators on PND. The prevalence and incidence proportion of PND were 9.27% (95%CI: 7.45, 11.36) and 7.77% (95%CI: 6.04, 9.79), respectively and 2.1% of the women demonstrated symptoms of depression within the study period. PND was independently predicted by having limited postnatal care services, Antenatal Depression (AND) and a Common Mental Disorders (CMD) before pregnancy, (IRR = 1.8; 95%CI: 1.0, 3.2), 1.6(95%CI: 1.4, 1.7), and 2.4 (95%CI: 1.4, 4.3) respectively). In SEM, AND (standardized total effect = 0.36) and a CMD before pregnancy (standardized total effect = 0.11) had both a direct and an indirect positive effect on PND scores. Low birth weight (standardized β = 0.32) and self-reported labor complications (standardized β = 0.09) had direct effects only on PND scores. The observed incidence and prevalence of PND in Ethiopia were lower than in previous studies. A CMD before pregnancy and low birth weight (LBW) increased PND scores, and these effects were in part mediated via antenatal depression and labor complications. Early detection and treatment of depression before or during pregnancy could either directly or indirectly reduce the risk of labor complications and PND. Interventions that reduce LBW or improve the uptake of postnatal care might reduce PND incidence.
Adam Isaiah Green - One of the best experts on this subject based on the ideXlab platform.
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health and sexual status in an urban gay enclave an application of the Stress Process Model
Journal of Health and Social Behavior, 2008Co-Authors: Adam Isaiah GreenAbstract:In this article, I apply the Stress Process Model as a framework to understand sexual sociality and its impact on health among urban gay men in a large North American gay enclave. Data consisting of in-depth interviews with 70 gay men coupled with three years of fieldwork demonstrate a sexual status order that privileges caucasian, middle-class men in their twenties and early thirties, and that disadvantages black and Asian men, men over 40 years of age, and poor men. Men with low sexual status faced significant Stressors in the form of avoidance from others, stigmatization, and rejection. These Stressors, in turn, taxed personal resources, including self-esteem, sense of social support, and sense of control, and they also negatively affected emotional states in the form of depression and anxiety. Finally, some low status men were unable to consistently negotiate condom use as a consequence of a history of field Stressors and diminished personal resources. The results suggest that more work on sexual stat...
