Self-Reported Physical Health of Inmates: Impact of Incarceration and Relation to Optimism

Heigel, Caron P.; Stuewig, Jeffrey; Tangney, June P.

doi:10.1177/1078345809356523

Cited by 15 publications

(10 citation statements)

References 31 publications

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“…Optimism was assessed using 6 items from the Values in Action inventory (VIA; Peterson and Seligman 2001). This scale has been shown to be reliable and valid with inmates (Heigel, Stuewig, and Tangney 2010). This scale assessed trait optimism (e.g.…”

Section: Methodsmentioning

confidence: 95%

The Effect of Stigma on Criminal Offenders’ Functioning: A Longitudinal Mediational Model

2015

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Research has rarely considered criminal offenders’ psychological responses to stigma, but these responses may significantly influence behavior after release from jail/prison. Jail inmates’ perceived and anticipated stigma was assessed prior to release from jail/prison (N = 163), and outcomes were assessed one year post-release (N = 371). We hypothesized that perceived stigma would predict poor adjustment in several domains (i.e. recidivism, substance dependence, mental health symptoms, community adjustment) through anticipated stigma. Results showed that perceived stigma predicted worse community adjustment through anticipated stigma, and this varied by race. Results are explored from an interdisciplinary perspective.

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Section: Methodsmentioning

confidence: 95%

The Effect of Stigma on Criminal Offenders’ Functioning: A Longitudinal Mediational Model

2015

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“…Four items were used: “I always look on the bright side,” “I can always find the positive in what seems negative to others,” “Despite challenges, I always remain hopeful about the future,” and “If I feel down, I always think about what is good in my life”. Responses ranged from 1 “not at all like me” to 5 “very much like me.” This modified Optimism scale demonstrated good reliability ( = .75; Heigel, Stuewig, & Tangney, 2010). …”

Section: Methodsmentioning

confidence: 91%

“…Optimism has been implicated as an important factor for incarcerated individuals that may contribute to positive health and behavior, as it has been linked to fewer physical ailments during incarceration (Heigel, Stuewig, & Tangney, 2010) and avoidance of substance use postrelease (Carvajal, Clair, Nash, & Evans, 1998). However, optimism may result in an “optimistic bias” where individuals fail to use information about their risk level to influence subsequent behavior; in line with this perspective, Jackson, Wernicke, and Haaga (2003) found that dispositional optimism in prison inmates was associated with lower probability of entering treatment, suggesting that high hope was an indicator of underestimation of the need for treatment.…”

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confidence: 99%

Perceived susceptibility to AIDS predicts subsequent HIV risk: a longitudinal evaluation of jail inmates

et al. 2013

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Theories of health behavior change suggest that perceived susceptibility to illness precedes health-protective behavior. We used a cross-lagged panel design to explore the relationship between perceived susceptibility to AIDS, and HIV risk behavior pre-incarceration and post-release in a sample of 499 jail inmates, a group at high risk for HIV. We also explored moderators of this relationship. HIV risk was calculated with a Bernoulli mathematical process model. Controlling for pre-incarceration HIV risk, perceived susceptibility to AIDS predicted less post-release HIV risk; the reverse relationship was not supported. Consistent with health behavior change theories, perceived susceptibility seemed to partially guide behavior. However, this relationship was not true for everyone. African-Americans and individuals high in borderline personality features exhibited no relationship between perceived susceptibility and changes in HIV risk. This suggests that targeted interventions are needed to use information about risk level to prevent HIV contraction.

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“…The CHIPS can also be used to define health related variables (e.g. optimism) and can have implications for the design and component integration of psychological therapies or behavioural treatments aimed at alleviating physical symptoms (Heigel, Stuewig & Tangney, 2010). Furthermore, physical symptom scales such as the CHIPS can be used to assess any changes in the frequency of, and psychological distress caused by, symptoms in response to treatment (e.g.…”

Section: The Cohen and Hoberman Inventory Of Physical Symptomsmentioning

confidence: 99%

The Cohen–Hoberman inventory of physical symptoms: Factor structure, and preliminary tests of reliability and validity in the general population

Allen

Wetherell

Smith

2017

Psychology & Health

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Citation: Allen, Sarah, Wetherell, Mark and Smith, Michael (2017) The Cohen-Hoberman inventory of physical symptoms: Factor structure, and preliminary tests of reliability and validity in the general population. Psychology & Health, 32 (5 Northumbria University has developed Northumbria Research Link (NRL) to enable users to access the University's research output. Copyright © and moral rights for items on NRL are retained by the individual author(s) and/or other copyright owners. Single copies of full items can be reproduced, displayed or performed, and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided the authors, title and full bibliographic details are given, as well as a hyperlink and/or URL to the original metadata page. The content must not be changed in any way. Full items must not be sold commercially in any format or medium without formal permission of the copyright holder. The full policy is available online: http://nrl.northumbria.ac.uk/policies.html This document may differ from the final, published version of the research and has been made available online in accordance with publisher policies. To read and/or cite from the published version of the research, please visit the publisher's website (a subscription may be required.)The Cohen-Hoberman Inventory of Physical Symptoms: Factor structure, and preliminary tests of reliability and validity in the general population SHC subscales (moderate-high), pain sensitivity (negligible-low) and levels of perceived stress and anxiety (low-moderate) indicating good construct, and discriminant validity, respectively. Conclusions: CHIPS is a multidimensional and internally consistent measurement of physical symptoms. The postulated factor structure may be used for research purposes particularly in health psychology, to consistently differentiate between clusters of self-reported symptoms.

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Self-Reported Physical Health of Inmates: Impact of Incarceration and Relation to Optimism

Cited by 15 publications

References 31 publications

The Effect of Stigma on Criminal Offenders’ Functioning: A Longitudinal Mediational Model

The Effect of Stigma on Criminal Offenders’ Functioning: A Longitudinal Mediational Model

Perceived susceptibility to AIDS predicts subsequent HIV risk: a longitudinal evaluation of jail inmates

The Cohen–Hoberman inventory of physical symptoms: Factor structure, and preliminary tests of reliability and validity in the general population

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