The psychosocial impact of cancer: evidence in support of independent general positive and negative components.

Purpose: Considerable research has demonstrated the negative psychosocial impact of cancer. Recent work has highlighted positive psychosocial outcomes. Research is now needed to evaluate the relationship between negative and positive impacts. This paper reports the development and validation of a me...

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Publicado en:Quality of Life Research Vol. 21; no. 2; pp. 195 - 208
Autores principales: Lai JS, Garcia SF, Salsman JM, Rosenbloom S, Cella D, Lai, Jin-Shei, Garcia, Sofia F, Salsman, John M, Rosenbloom, Sarah, Cella, David
Formato: research Journal Article
Publicado: Springer Nature Mar2012
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2012
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      pub: Springer Nature
      place: New York, New York
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        atl: The psychosocial impact of cancer: evidence in support of independent general positive and negative components.
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          Lai JS
          Garcia SF
          Salsman JM
          Rosenbloom S
          Cella D
          Lai, Jin-Shei
          Garcia, Sofia F
          Salsman, John M
          Rosenbloom, Sarah
          Cella, David
        affil: Department of Medical Social Sciences, Feinberg School of Medicine at Northwestern University, 710 North Lake Shore drive, #729, Chicago, IL 60611, USA
      sug:
        subj:
          Economic Aspects of Illness
          Neoplasms Psychosocial Factors
          Stress, Psychological
          Analysis of Variance
          Female
          Human
          Interviews
          Male
          Pilot Studies
          Reproducibility of Results
          Female
          Male
      ab: Purpose: Considerable research has demonstrated the negative psychosocial impact of cancer. Recent work has highlighted positive psychosocial outcomes. Research is now needed to evaluate the relationship between negative and positive impacts. This paper reports the development and validation of a measurement model capturing positive and negative psychosocial illness impacts.Methods: The sample included 754 cancer patients on- or post-treatment. Item development was informed by literature review, expert input patient interviews and the results of a pilot study of 205 cancer patients, resulting in 43 positive and 46 negative items. Factor analyses were used to evaluate the dimensionality of the item pools. Analysis of variance (ANOVA) was used to examine relationships between psychosocial illness impact and other variables.Results: Unidimensionality was demonstrated within but not across negative and positive impact items. ANOVA results showed differential relationships between negative and positive impacts, respectively, and patient sociodemographic and clinical variables.Conclusion: Positive and negative psychosocial illness impacts are best conceptualized and measured as two independent factors. Computerized adaptive tests and short-form measures developed from this comprehensive psychosocial illness impact item bank may benefit future research and clinical applications.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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